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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('docs/history.rst') as history_file:
history = history_file.read()
requirements = [
'gym',
'tflearn',
'numpy',
'Pillow'
]
test_requirements = [
'bumpversion',
'wheel',
'flake8',
'tox',
'coverage',
'Sphinx',
'pytest',
'path.py'
]
setup(
name='rlflow',
version='0.1.3',
description="A framework for learning about and experimenting with reinforcement learning algorithms",
long_description=readme + '\n\n' + history,
author="Trevor Barron",
author_email='[email protected]',
url='https://github.com/tpbarron/rlflow',
packages=find_packages(),
include_package_data=True,
install_requires=requirements,
license="MIT license",
zip_safe=False,
keywords=[
'FLFlow',
'TFLearn',
'TensorFlow',
'Deep Learning',
'Reinforcement Learning',
'Machine Learning',
'Neural Networks'
],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'Intended Audience :: Education',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
"Programming Language :: Python :: 2",
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
],
test_suite='tests',
tests_require=test_requirements
)