pyproject.toml

[project]
name = "equinox"
version = "0.11.8"
description = "Elegant easy-to-use neural networks in JAX."
readme = "README.md"
requires-python =">=3.9"
license = {file = "LICENSE"}
authors = [
  {name = "Patrick Kidger", email = "contact@kidger.site"},
]
keywords = ["jax", "neural-networks", "deep-learning", "equinox"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Financial and Insurance Industry",
    "Intended Audience :: Information Technology",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Natural Language :: English",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Information Analysis",
    "Topic :: Scientific/Engineering :: Mathematics",
]
urls = {repository = "https://github.com/patrick-kidger/equinox" }
dependencies = ["jax>=0.4.13,!=0.4.27", "jaxtyping>=0.2.20", "typing_extensions>=4.5.0"]

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

[tool.hatch.build]
include = ["equinox/*"]

[tool.pytest.ini_options]
addopts = "--jaxtyping-packages=equinox,beartype.beartype(conf=beartype.BeartypeConf(strategy=beartype.BeartypeStrategy.On))"

[tool.ruff]
extend-include = ["*.ipynb"]
src = []

[tool.ruff.lint]
fixable = ["I001", "F401"]
ignore = ["E402", "E721", "E731", "E741", "F722"]
select = ["E", "F", "I001"]

[tool.ruff.lint.isort]
combine-as-imports = true
extra-standard-library = ["typing_extensions"]
lines-after-imports = 2
order-by-type = false

[tool.pyright]
reportIncompatibleMethodOverride = true
reportIncompatibleVariableOverride = false  # Incompatible with eqx.AbstractVar
reportFunctionMemberAccess = false
include = ["equinox", "tests"]