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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from pathlib import Path
from setuptools import find_packages, setup
# Package metadata
NAME = 'nfl_data_py'
DESCRIPTION = 'python library for interacting with NFL data sourced from nflfastR'
URL = 'https://github.com/nflverse/nfl_data_py'
EMAIL = '[email protected]'
AUTHOR = 'Alec Ostrander'
REQUIRES_PYTHON = '>=3.6.0'
VERSION = '0.3.3'
# What packages are required for this module to be executed?
REQUIRED = [
'numpy>=1.0, <2.0',
'pandas>=1.0, <2.0',
'appdirs>1',
'fastparquet>0.5',
]
# What packages are optional?
EXTRAS = {
}
# Where the magic happens:
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=Path('README.md').read_text(),
long_description_content_type='text/markdown',
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
url=URL,
packages=find_packages(exclude=["tests", "*.tests", "*.tests.*", "tests.*"]),
install_requires=REQUIRED,
extras_require=EXTRAS,
include_package_data=True,
license='MIT',
classifiers=[
# Trove classifiers. Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3 :: Only',
*[f'Programming Language :: Python :: 3.{i}' for i in range(6, 13)],
'Programming Language :: Python :: Implementation :: CPython',
'Programming Language :: Python :: Implementation :: PyPy',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Information Analysis',
'Operating System :: OS Independent',
],
)