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setup.py
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setup.py
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#! /usr/bin/env python
"""Python sports betting toolbox."""
import codecs
import os
from setuptools import find_packages, setup
ver_file = os.path.join('sportsbet', '_version.py')
with open(ver_file) as f:
exec(f.read())
DISTNAME = 'sports-betting'
DESCRIPTION = 'Python sports betting toolbox.'
with codecs.open('README.rst', encoding='utf-8-sig') as f:
LONG_DESCRIPTION = f.read()
MAINTAINER = 'G. Douzas'
MAINTAINER_EMAIL = 'gdouzas@icloud.com'
URL = 'https://github.com/AlgoWit/sports-betting'
LICENSE = 'MIT'
DOWNLOAD_URL = 'https://github.com/AlgoWit/sports-betting'
VERSION = __version__
INSTALL_REQUIRES = ['scipy>=0.17', 'numpy>=1.1', 'pandas==0.24.2', 'scikit-learn>=0.21', 'imbalanced-learn>=0.4.3', 'joblib==0.13.2', 'tqdm==4.28.1']
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 :: 3.6',
'Programming Language :: Python :: 3.7']
EXTRAS_REQUIRE = {
'tests': [
'pytest',
'pytest-cov'],
'docs': [
'sphinx==1.8.5',
'sphinx-gallery',
'sphinx_rtd_theme',
'numpydoc',
'matplotlib',
'pandas'
]
}
ENTRY_POINTS = {
'console_scripts': [
'download=sportsbet.soccer.data:download',
'backtest=sportsbet.soccer.optimization:backtest',
'predict=sportsbet.soccer.optimization:predict'
]
}
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,
classifiers=CLASSIFIERS,
packages=find_packages(),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
entry_points=ENTRY_POINTS
)