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setup.py
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#! /usr/bin/env python
import os
from setuptools import setup, find_packages
descr = 'Implicit forward differentiation for Lasso-type problems'
version = None
with open(os.path.join('sparse_ho', '__init__.py'), 'r') as fid:
for line in (line.strip() for line in fid):
if line.startswith('__version__'):
version = line.split('=')[1].strip().strip('\'')
break
if version is None:
raise RuntimeError('Could not determine version')
DISTNAME = 'sparse_ho'
DESCRIPTION = descr
AUTHOR = ('Q. Bertrand', 'Q. Klopfenstein')
AUTHOR_EMAIL = '[email protected]'
LICENSE = 'BSD'
DOWNLOAD_URL = 'https://github.com/QB3/sparse-ho.git'
VERSION = version
URL = 'https://github.com/QB3/sparse-ho'
if __name__ == "__main__":
setup(name=DISTNAME,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
description=DESCRIPTION,
license=LICENSE,
version=VERSION,
url=URL,
download_url=DOWNLOAD_URL,
long_description=open('README.rst').read(),
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',
],
platforms='any',
packages=find_packages(),
install_requires=[
"celer",
"download", "hyperopt",
"libsvmdata", "matplotlib>=2.0.0", "numba",
"numpy", "scipy>=0.18.0",
"scikit-learn>=0.21", "seaborn>=0.7", ]
)