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setup.py
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setup.py
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#! /usr/bin/env python
# Copyright (C) 2017 Balazs Kegl
import os
from codecs import open
from setuptools import setup, find_packages
import versioneer
# Get the long description from the README file
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
descr = """Toolkit for building analytics workflows on the top of pandas and
scikit-learn. Primarily intended to feed RAMPs."""
DISTNAME = 'ramp-workflow'
DESCRIPTION = descr
MAINTAINER = 'Balazs Kegl'
MAINTAINER_EMAIL = '[email protected]'
URL = 'https://github.com/paris-saclay-cds/ramp-workflow'
LICENSE = 'BSD (3-clause)'
DOWNLOAD_URL = 'https://github.com/paris-saclay-cds/ramp-workflow'
if __name__ == "__main__":
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
setup(
name=DISTNAME,
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
maintainer=MAINTAINER,
include_package_data=True,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
download_url=DOWNLOAD_URL,
long_description=long_description,
zip_safe=False, # the package can run out of an .egg file
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS'],
install_requires=[
'numpy',
'scipy',
'pandas>=0.19.2',
'scikit-learn>=0.18',
'cloudpickle',
'colored'],
platforms='any',
packages=find_packages(),
entry_points={
'console_scripts': [
'ramp_test_submission='
'rampwf.utils.command_line:ramp_test_submission',
'ramp_test_notebook='
'rampwf.utils.command_line:ramp_test_notebook',
'ramp_convert_notebook='
'rampwf.utils.command_line:ramp_convert_notebook',
]})