poutyne/pyproject.toml at master · freud14/poutyne · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "poutyne"
version = "1.19.0"
description = "A simplified framework and utilities for PyTorch."
readme = "README.md"
license = { text = "LGPL-3.0-or-later" }
authors = [{ name = "Frédérik Paradis", email = "fredy_14@live.fr" }]
requires-python = ">=3.10"
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
    "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",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "lightning_utilities",
    "numpy",
    "torch",
    "torchmetrics",
]

[project.optional-dependencies]
colorama     = ["colorama>=0.4.3"]
scikit-learn = ["scikit-learn>=0.23.2"]
tensorboard  = ["tensorboard>=2.4.0"]
tensorboardX = ["tensorboardX>=2.1"]
torchvision  = ["torchvision>=0.8.1"]
pandas       = ["pandas>=2.0.0"]
mlflow       = ["mlflow>=1.12.1"]
extras = [
    "poutyne[colorama]",
    "poutyne[scikit-learn]",
    "poutyne[tensorboard]",
    "poutyne[tensorboardX]",
    "poutyne[torchvision]",
    "poutyne[pandas]",
    "poutyne[mlflow]",
]

[project.urls]
Homepage      = "https://poutyne.org"
Repository    = "https://github.com/freud14/poutyne"
"Bug Tracker" = "https://github.com/freud14/poutyne/issues"
Changelog     = "https://github.com/freud14/poutyne/blob/master/CHANGELOG.md"

[dependency-groups]
dev = [
    { include-group = "lint" },
    { include-group = "test" },
    { include-group = "docs" },
    { include-group = "examples" },
]
lint = [
    "ruff==0.15.16",
]
test = [
    "pytest",
    "pytest-cov",
    "scikit-learn",
    "tensorboard",
    "tensorboardX",
    "colorama",
    "torchvision",
    "pandas",
    "mlflow",
    "omegaconf",
    "matplotlib",
    "pillow",
    "wandb",
]
docs = [
    "sphinx",
    "sphinx_rtd_theme",
]
examples = [
    "colorama",
    "fasttext~=0.9.2; sys_platform != 'win32'",
    "requests",
    "torchvision",
    "torchmetrics",
]

[tool.ruff]
line-length = 120
exclude = ["slides"]

[tool.ruff.lint]
select = ["E", "W", "F", "I", "PL", "UP", "RUF", "B", "PT", "C4", "SIM", "NPY", "PERF", "T20"]
ignore = [
    "E731",    # lambda-assignment
    "PLR0402", # import-alias (consider-using-from-import)
    "PLR0913", # too-many-arguments
    "PLR2004", # magic-value-comparison
    "B905",    # zip without strict= (too noisy for PyTorch tensor code)
    "PT011",   # pytest.raises too broad (adding match= is out of scope for this codebase)
    "PT030",   # pytest.warns too broad (adding match= is out of scope for this codebase)
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401", "F403"]
"examples/**" = ["PLW2901", "T20", "NPY002"]  # x = x.to(device) is intentional; print and legacy numpy expected in examples
"tutorials/**" = ["T20", "NPY002"]
"tests/**" = ["NPY002", "E721"]  # E721: tests use exact type checks (type() ==) intentionally; NPY002: legacy numpy random API ok in fixtures
"poutyne/utils.py" = ["NPY002"]  # np.random.seed/get_state/set_state have no Generator equivalent

[tool.ruff.format]
quote-style = "preserve"

[tool.pytest.ini_options]
addopts = "--cov --cov-report html --cov-report xml"
testpaths = ["tests"]
python_classes = ["*Test"]
filterwarnings = [
    "ignore:Metric `SpearmanCorrcoef` will save all targets:UserWarning:torchmetrics",
]