FDFI/pyproject.toml at main · JinHongDu-Lab/FDFI · 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
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "fdfi"
version = "0.1.0"
description = "Flow-Disentangled Feature Importance"
readme = "README.md"
authors = [
    {name = "FDFI Team"}
]
license = {text = "MIT"}
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["machine learning", "explainability", "feature importance", "interpretability"]
requires-python = ">=3.8"
dependencies = [
    "numpy>=1.20.0",
    "scipy>=1.7.0",
    "scikit-learn>=1.0.0",
    "matplotlib>=3.5.0",
    "statsmodels>=0.13.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "black>=23.0.0",
    "flake8>=6.0.0",
    "mypy>=1.0.0",
    "isort>=5.12.0",
]
flow = [
    "torch>=2.0.0",
    "torchdiffeq>=0.2.3",
    "tqdm>=4.60.0",
]
docs = [
    "sphinx>=5.0.0",
    "sphinx-rtd-theme>=1.2.0",
    "myst-parser>=1.0.0",
    "nbsphinx>=0.9.0",
    # Needed only to re-execute the documentation notebooks, not to build the
    # HTML (nbsphinx_execute = "never"). xlrd reads the UCI CTG .xls used by
    # the Cardiotocography case study.
    "ipykernel>=6.0.0",
    "xlrd>=2.0.1",
]
all = [
    "fdfi[dev]",
    "fdfi[flow]",
    "fdfi[docs]",
]

[project.urls]
Homepage = "https://github.com/jinhongdu-lab/FDFI"
Documentation = "https://fdfi.readthedocs.io/en/latest/"
Repository = "https://github.com/jinhongdu-lab/FDFI"
Issues = "https://github.com/jinhongdu-lab/FDFI/issues"

[tool.setuptools]
packages = ["fdfi", "fdfi.explainers"]

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

[tool.pytest.ini_options]
minversion = "7.0"
addopts = "-ra -q --strict-markers"
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

[tool.black]
line-length = 88
target-version = ['py38', 'py39', 'py310', 'py311', 'py312']
include = '\.pyi?$'

[tool.isort]
profile = "black"
line_length = 88

[tool.mypy]
python_version = "3.8"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false
disallow_incomplete_defs = false

[tool.coverage.run]
source = ["fdfi"]
omit = ["tests/*"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "raise AssertionError",
    "raise NotImplementedError",
    "if __name__ == .__main__.:",
    "if TYPE_CHECKING:",
]