zuko/pyproject.toml at master · probabilists/zuko · GitHub

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

[project]
name = "zuko"
description = "Normalizing flows in PyTorch"
authors = [
  {name = "The Probabilists", email = "theprobabilists@gmail.com"}
]
classifiers = [
  "Intended Audience :: Developers",
  "Intended Audience :: Science/Research",
  "Natural Language :: English",
  "Operating System :: OS Independent",
  "Programming Language :: Python :: 3",
]
dependencies = [
  "numpy>=1.20.0",
  "torch>=1.12.0",
]
dynamic = ["version"]
keywords = [
  "torch",
  "normalizing flows",
  "probability",
  "distribution",
  "generative",
  "deep learning",
]
license = "MIT"
readme = "README.md"
requires-python = ">=3.10"

[project.optional-dependencies]
dev = [
  "ipykernel>=6.29.0",
  "matplotlib>=3.8.0",
  "pre-commit>=3.7.0",
  "ruff==0.9.9",
]
docs = [
  "docutils==0.19",
  "furo==2024.5.6",
  "myst-nb==1.0.0",
  "sphinx==7.3.7",
]
test = [
  "pytest>=8.0.0",
]

[project.urls]
documentation = "https://zuko.readthedocs.io"
source = "https://github.com/probabilists/zuko"
tracker = "https://github.com/probabilists/zuko/issues"

[tool.ruff]
extend-include = ["*.ipynb"]
line-length = 99

[tool.ruff.lint]
extend-select = ["ANN", "B", "I", "UP", "W"]
ignore = ["ANN002", "ANN003", "E731", "E741"]
preview = true

[tool.ruff.lint.extend-per-file-ignores]
"__init__.py" = ["F401"]
"test_*.py" = ["F403", "F405"]
"*.ipynb" = ["B007"]

[tool.ruff.lint.isort]
lines-between-types = 1
relative-imports-order = "closest-to-furthest"
section-order = ["future", "third-party", "first-party", "local-folder"]

[tool.ruff.format]
preview = true

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

[tool.setuptools.packages.find]
include = ["zuko*"]