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setup.cfg
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setup.cfg
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[metadata]
name = kedro-partitioned
version = attr: kedro_partitioned.__version__
author = ProjetaAi
description = 'Kedro plugin that groups a bunch of tools to deal with partitioned datasets'
long_description = file: README.md
long_description_content_type = text/markdown
classifiers =
Programming Language :: Python :: 3
Operating System :: OS Independent
[options]
include_package_data = True
zip_safe = False
packages = find:
python_requires = >=3.9
install_requires =
kedro~=0.18.2
universal_pathlib
typing_extensions
pyarrow
pandas
aiohttp
[options.entry_points]
kedro.hooks =
multinode_enabler = kedro_partitioned.plugin:multinode_enabler
[options.extras_require]
test =
pytest
pytest-cov
pytest-mock
flake8
flake8-annotations
flake8-docstrings
docs =
sphinx
sphinx-copybutton
sphinx-autodoc-typehints
sphinx-autoapi
sphinxcontrib-mermaid
furo
myst-parser
dev =
%(test)s
%(docs)s
yapf
pre-commit
sphinx-autobuild
[options.packages.find]
exclude =
tests*