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setup.cfg
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setup.cfg
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[metadata]
name = pymars
description = MARS: a tensor-based unified framework for large-scale data computation.
long_description = file: README.rst
long_description_content_type = text/x-rst
author = Qin Xuye
author_email = [email protected]
maintainer = Qin Xuye
maintainer_email = [email protected]
license = Apache License 2.0
url = http://github.com/mars-project/mars
python_requires = >=3.6
classifier =
Operating System :: OS Independent
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: Implementation :: CPython
Topic :: Software Development :: Libraries
[options]
zip_safe = False
include_package_data = True
packages = find:
install_requires =
numpy>=1.14.0
pandas>=1.0.0,<1.2.0; python_version<"3.7"
pandas>=1.0.0; python_version>="3.7"
requests>=2.4.0
tornado>=6.0
cloudpickle>=1.5.0
pyyaml>=5.1
psutil>=4.0.0
pickle5; python_version<"3.8"
async_generator; python_version<"3.7"
dataclasses; python_version<"3.7"
shared-memory38; python_version<"3.8"
asyncio37; python_version<"3.7"
[options.packages.find]
exclude =
*.tests.*
*.tests
[options.entry_points]
console_scripts =
mars-supervisor = mars.deploy.oscar.supervisor:main
mars-worker = mars.deploy.oscar.worker:main
[options.extras_require]
dev =
pyarrow>=0.11.0,!=0.16.*
cython>=0.29
pytest>=3.5.0
pytest-cov>=2.5.0
pytest-timeout>=1.2.0
pytest-forked>=1.0
pytest-asyncio>=0.14.0
sqlalchemy>=1.2.0
scipy>=1.0.0
scikit-learn>=0.20
numexpr>=2.6.4
bokeh>=1.0.0
jinja2>=2.0
mock>=4.0.0; python_version<"3.8"
distributed =
pyarrow>=0.11.0,!=0.16.*
cython>=0.29
pytest>=3.5.0
pytest-cov>=2.5.0
pytest-timeout>=1.2.0
pytest-forked>=1.0
pytest-asyncio>=0.14.0
sqlalchemy>=1.2.0
scipy>=1.0.0
mock>=4.0.0; python_version<"3.8"
extra =
scipy>=1.0.0
scikit-learn>=0.20
numexpr>=2.6.4
pyarrow>=0.11.0,!=0.16.*
lz4>=1.0.0
bokeh>=1.0.0
jinja2>=2.0
vineyard =
vineyard==0.1.10; sys.platform != "win32"
[tool:pytest]
markers =
cuda: mark a test as a cuda case.
hadoop: mark test as a hadoop case.
ray: mark test as a ray case.
[coverage:run]
branch = True
relative_files = True
cover_pylib = False
parallel = True
concurrency = multiprocessing,thread
plugins = Cython.Coverage
include =
mars/*
omit =
mars/compat.py
mars/lib/aio/_runners.py
mars/lib/aio/lru.py
mars/lib/functools32/*
mars/lib/futures/*
mars/lib/six.py
mars/lib/nvutils.py
mars/lib/tblib/*
mars/lib/uhashring/*
mars/learn/contrib/xgboost/tracker.py
mars/learn/cluster/_k_means_fast.*
mars/learn/cluster/_k_means_elkan.pyx
mars/learn/cluster/_k_means_lloyd.pyx
mars/learn/proxima/*
mars/learn/utils/_cython_blas.*
mars/tensor/einsum/einsumfunc.py
mars/storage/cuda.py
*.html
*.pxd
*/tests/*
mars/deploy/kubedl/*
[coverage:report]
exclude_lines =
pragma: no cover
def __repr__
raise AssertionError
raise NotImplementedError
return NotImplemented
[flake8]
max-complexity = 10
max-line-length = 127
exclude =
*_pb2.py
__init__.py
__pycache__
mars/lib/nvutils.py
mars/lib/uhashring/*