Noise2Noise_PyTorch/pyproject.toml at main · tgieruc/Noise2Noise_PyTorch · GitHub

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[project]
name = "noise2noise-pytorch"
version = "0.1.0"
description = "Unofficial PyTorch implementation of Noise2Noise (Lehtinen et al., 2018)"
requires-python = ">=3.12"
dependencies = [
    "matplotlib>=3.10.8",
    "numpy>=2.4.2",
    "torch>=2.10.0",
    "torchvision>=0.25.0",
    "tqdm>=4.67.3",
]

[project.scripts]
n2n-train = "train:main"
n2n-predict = "predict:main"

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

[tool.hatch.build.targets.wheel]
packages = ["noise2noise"]

[dependency-groups]
dev = [
    "pre-commit>=4.5.1",
    "ruff>=0.15.5",
]

[tool.ruff]
line-length = 120

[tool.ruff.lint]
select = ["E", "F", "I", "W", "D"]
ignore = ["D100", "D101", "D102", "D103", "D104", "D105", "D107"]

[tool.ruff.lint.per-file-ignores]
"tests/**" = ["D"]

[tool.ruff.lint.pydocstyle]
convention = "google"