ModularityPruning/pyproject.toml at master · ragibson/ModularityPruning · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
[build-system]
requires = ["setuptools >= 75.3.2"]
build-backend = "setuptools.build_meta"

[project]
name = "modularitypruning"
version = "2.0.1"
description = "Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference."
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
authors = [
    { name = "Ryan Gibson", email = "ryan.alex.gibson@gmail.com" }
]

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Topic :: Scientific/Engineering :: Information Analysis",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Programming Language :: Python :: 3.15",
    "Programming Language :: Python :: 3 :: Only",
    "Typing :: Typed"
]
dependencies = [
    "leidenalg",
    "matplotlib",
    "numpy",
    "psutil",
    "igraph",
    "scikit-learn",
    "scipy>=1.7",
    "seaborn",
    "tqdm"
]

[tool.setuptools]
packages = ["modularitypruning"]

[tool.setuptools.package-dir]
modularitypruning = "utilities"

[tool.setuptools.package-data]
modularitypruning = ["py.typed"]

[tool.autopep8]
max_line_length = 120

[tool.coverage.run]
# a bit strange to include tests, but this is recommended by coverage.py
source = ["modularitypruning", "tests"]
concurrency = ["multiprocessing"]
branch = true

[tool.coverage.report]
fail_under = 90
show_missing = true