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setup.cfg
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setup.cfg
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[metadata]
name = tables
# version = attr: src.VERSION
description = Hierarchical datasets for Python
long_description =
PyTables is a package for managing hierarchical datasets and
designed to efficiently cope with extremely large amounts of
data. PyTables is built on top of the HDF5 library and the
NumPy package and features an object-oriented interface
that, combined with C-code generated from Cython sources,
makes of it a fast, yet extremely easy to use tool for
interactively save and retrieve large amounts of data.
long_description_content_type = text/x-rst
author = Francesc Alted, Ivan Vilata, Antonio Valentino, Anthony Scopatz et al.
author_email = [email protected]
maintainer = PyTables maintainers
maintainer_email = [email protected]
url = https://www.pytables.org
license = BSD 3-Clause License
license_files = LICENSE.txt
classifiers =
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
Intended Audience :: Information Technology
Intended Audience :: Science/Research
License :: OSI Approved :: BSD License
Operating System :: Microsoft :: Windows
Operating System :: Unix
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3 :: Only
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Topic :: Database
Topic :: Software Development :: Libraries :: Python Modules
platforms = any
keywords = hdf5
project_urls =
Documentation = http://www.pytables.org
Source = https://github.com/PyTables/PyTables
Tracker = https://github.com/PyTables/PyTables/issues
[options]
python_requires = >=3.6
zip_safe = False
# install_requires =
# numpy>=1.19.0
# numexpr>=2.6.2
# packaging
packages = find:
include_package_data = True
[options.entry_points]
console_scripts =
ptdump = tables.scripts.ptdump:main
ptrepack = tables.scripts.ptrepack:main
pt2to3 = tables.scripts.pt2to3:main
pttree = tables.scripts.pttree:main
[options.extras_require]
doc =
sphinx>=1.1
sphinx_rtd_theme
numpydoc
ipython
[options.packages.find]
exclude =
bench
[options.package_data]
tables = *.dll
tables.tests = *.h5, *.mat
tables.nodes.tests = *.dat, *.xbm, *.h5
[sdist]
formats = gztar