pytorch-3dunet/pyproject.toml at master · wolny/pytorch-3dunet · GitHub

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "pytorch3dunet"
dynamic = ["version"]
description = "Versatile U-Net implementation for volumetric semantic segmentation written in PyTorch"
readme = "README.md"
license = {text = "MIT"}
authors = [
    {name = "Adrian Wolny"},
    {name = "Lorenzo Cerrone"}
]
requires-python = ">=3.11"
dependencies = [
    "torch",
    "torchvision",
    "numpy",
    "tensorboard",
    "tqdm",
    "h5py",
    "scipy",
    "scikit-image",
    "pyyaml"
]

[project.urls]
Homepage = "https://github.com/wolny/pytorch-3dunet"

[project.scripts]
train3dunet = "pytorch3dunet.train:main"
predict3dunet = "pytorch3dunet.predict:main"

[tool.setuptools.dynamic]
version = {attr = "pytorch3dunet.__version__.__version__"}

[tool.setuptools.packages.find]
exclude = ["tests*"]

[tool.ruff]
line-length = 120
target-version = "py311"

[tool.ruff.lint]
select = [
    "E",   # pycodestyle errors
    "W",   # pycodestyle warnings
    "F",   # pyflakes
    "I",   # isort
    "B",   # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long (handled by formatter)
]

[tool.ruff.format]
quote-style = "double"
indent-style = "space"