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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
[project]
name = "dask-ml"
dynamic = ["version"]
description = "A library for distributed and parallel machine learning"
readme = "README.rst"
license = {file = 'LICENSE.txt'}
requires-python = ">=3.8"
authors = [{ name = "Tom Augspurger", email = "taugspurger@anaconda.com" }]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Database",
"Topic :: Scientific/Engineering",
]
dependencies = [
"dask-glm>=0.2.0",
"dask[array,dataframe]>=2.4.0",
"distributed>=2.4.0",
"multipledispatch>=0.4.9",
"numba>=0.51.0",
"numpy>=1.20.0",
"packaging",
"pandas>=0.24.2",
"scikit-learn>=1.2.0",
"scipy",
]
[project.optional-dependencies]
complete = ["dask-xgboost", "xgboost"]
dev = [
"black",
"coverage",
"flake8",
"isort",
"nbsphinx",
"numpydoc",
"pytest",
"pytest-cov",
"pytest-mock",
"sphinx",
"sphinx-gallery",
"sphinx-rtd-theme",
]
docs = ["nbsphinx", "numpydoc", "sphinx", "sphinx-gallery", "sphinx-rtd-theme"]
test = [
"black",
"coverage",
"flake8",
"isort",
"pytest",
"pytest-cov",
"pytest-mock",
]
xgboost = ["dask-xgboost", "xgboost"]
[project.urls]
Homepage = "https://github.com/dask/dask-ml"
[tool.hatch.version]
source = "vcs"
[tool.hatch.build.hooks.vcs]
version-file = "dask_ml/_version.py"
[tool.hatch.build.targets.sdist]
include = ["/dask_ml"]
[tool.mypy]
ignore_missing_imports = true
no_implicit_optional = true
check_untyped_defs = true
strict_equality = true
[[tool.mypy-dask_ml.metrics]]
check_untyped_defs = false
[[tool.mypy.overrides]]
module = "dask_ml.model_selection"
follow_imports = "skip"
[tool.coverage]
source = "dask_ml"
[tool.pytest]
addopts = "-rsx -v --durations=10 --color=yes"
minversion = "3.2"
xfail_strict = true
junit_family = "xunit2"
filterwarnings = [
"error:::dask_ml[.*]",
"error:::sklearn[.*]",
]
[tool.ruff.lint]
ignore = ["E721", "E731", "E741"]