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setup.py
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setup.py
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#! /usr/bin/env python
"""A template for scikit-learn compatible packages."""
import codecs
import os
from setuptools import find_packages, setup
# get __version__ from _version.py
ver_file = os.path.join('shrinkage_da', '_version.py')
with open(ver_file) as f:
exec(f.read())
DISTNAME = 'shrinkage_da'
DESCRIPTION = 'Shrinkage Discriminant Analysis'
with codecs.open('README.md', encoding='utf-8-sig') as f:
LONG_DESCRIPTION = f.read()
MAINTAINER = 'M. Ahdesmaki'
MAINTAINER_EMAIL = 'miika.ahdesmaki@gmail.com'
URL = 'https://github.com/mjafin/shrinkage_da/'
LICENSE = 'MIT'
DOWNLOAD_URL = 'https://github.com/mjafin/shrinkage_da/'
VERSION = __version__
INSTALL_REQUIRES = ['numpy', 'scipy', 'scikit-learn']
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',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7']
EXTRAS_REQUIRE = {
'tests': [
'pytest',
'pytest-cov'],
'docs': [
'sphinx',
'sphinx-gallery',
'sphinx_rtd_theme',
'numpydoc',
'matplotlib'
]
}
setup(name=DISTNAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
version=VERSION,
download_url=DOWNLOAD_URL,
long_description=LONG_DESCRIPTION,
zip_safe=False, # the package can run out of an .egg file
classifiers=CLASSIFIERS,
packages=find_packages(),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE)