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pyproject.toml
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pyproject.toml
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[build-system]
build-backend = "rapids_build_backend.build"
requires = [
"rapids-build-backend>=0.3.0,<0.4.0dev0",
"setuptools>=64.0.0",
] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit dependencies.yaml and run `rapids-dependency-file-generator`.
[project]
name = "dask-cuda"
dynamic = ["version"]
description = "Utilities for Dask and CUDA interactions"
readme = { file = "README.md", content-type = "text/markdown" }
authors = [
{ name = "NVIDIA Corporation" },
]
license = { text = "Apache 2.0" }
requires-python = ">=3.10"
dependencies = [
"click >=8.1",
"numba>=0.57",
"numpy>=1.23,<3.0a0",
"pandas>=1.3",
"pynvml>=11.0.0,<12.0.0a0",
"rapids-dask-dependency==25.2.*,>=0.0.0a0",
"zict>=2.0.0",
] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit dependencies.yaml and run `rapids-dependency-file-generator`.
classifiers = [
"Intended Audience :: Developers",
"Topic :: Database",
"Topic :: Scientific/Engineering",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
[project.scripts]
dask-cuda-worker = "dask_cuda.cli:worker"
dask-cuda-config = "dask_cuda.cli:config"
[project.entry-points.dask_cli]
cuda = "dask_cuda.cli:cuda"
[project.optional-dependencies]
docs = [
"numpydoc>=1.1.0",
"sphinx",
"sphinx-click>=2.7.1",
"sphinx-rtd-theme>=0.5.1",
] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit dependencies.yaml and run `rapids-dependency-file-generator`.
test = [
"cudf==25.2.*,>=0.0.0a0",
"dask-cudf==25.2.*,>=0.0.0a0",
"kvikio==25.2.*,>=0.0.0a0",
"pytest",
"pytest-cov",
"ucx-py==0.42.*,>=0.0.0a0",
] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit dependencies.yaml and run `rapids-dependency-file-generator`.
[project.urls]
Homepage = "https://github.com/rapidsai/dask-cuda"
Documentation = "https://docs.rapids.ai/api/dask-cuda/stable/"
Source = "https://github.com/rapidsai/dask-cuda"
[tool.coverage.run]
disable_warnings = [
"include-ignored",
]
include = [
"dask_cuda/*",
]
omit = [
"dask_cuda/tests/*",
]
[tool.isort]
line_length = 88
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
combine_as_imports = true
order_by_type = true
known_dask = [
"dask",
"distributed",
]
known_rapids = [
"rmm",
"cuml",
"cugraph",
"dask_cudf",
"cudf",
"ucp",
]
known_first_party = [
"dask_cuda",
]
default_section = "THIRDPARTY"
sections = [
"FUTURE",
"STDLIB",
"THIRDPARTY",
"DASK",
"RAPIDS",
"FIRSTPARTY",
"LOCALFOLDER",
]
skip = [
".eggs",
".git",
".hg",
".mypy_cache",
".tox",
".venv",
"build",
"dist",
"__init__.py",
]
[tool.pytest.ini_options]
filterwarnings = [
"error::DeprecationWarning",
"error::FutureWarning",
# remove after https://github.com/rapidsai/dask-cuda/issues/1087 is closed
"ignore:There is no current event loop:DeprecationWarning:tornado",
# This warning must be filtered until dask-expr support
# is enabled in both dask-cudf and dask-cuda.
# See: https://github.com/rapidsai/dask-cuda/issues/1311
"ignore:Dask DataFrame implementation is deprecated:DeprecationWarning",
# Dask now loudly throws warnings: https://github.com/dask/dask/pull/11437
# When the legacy implementation is removed we can remove this warning and stop running pytests with `DASK_DATAFRAME__QUERY_PLANNING=False`
"ignore:The legacy Dask DataFrame implementation is deprecated and will be removed in a future version.*:FutureWarning",
]
[tool.rapids-build-backend]
build-backend = "setuptools.build_meta"
dependencies-file = "dependencies.yaml"
disable-cuda = true
matrix-entry = "cuda_suffixed=true"
[tool.setuptools]
license-files = ["LICENSE"]
[tool.setuptools.dynamic]
version = {file = "dask_cuda/VERSION"}
[tool.setuptools.packages.find]
exclude = [
"docs",
"tests",
"docs.*",
"tests.*",
]
[tool.pydistcheck]
select = [
"distro-too-large-compressed",
]
# PyPI limit is 100 MiB, fail CI before we get too close to that
max_allowed_size_compressed = '75M'