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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
with open('README.md') as readme_file:
readme = readme_file.read()
with open('HISTORY.md') as history_file:
history = history_file.read()
install_requires = [
'numpy>=1.16.0',
'pandas>=0.23.4',
'scikit-learn>=0.20.2',
'tensorflow>=1.13.0, <2.0',
'tensorpack==0.9.4',
]
setup_requires = [
'pytest-runner>=2.11.1',
]
test_require = [
'pytest>=3.4.2',
'pytest-cov>=2.6.0',
]
development_requirements = [
# general
'bumpversion>=0.5.3',
'pip>=9.0.1',
'watchdog>=0.8.3',
# docs
'm2r>=0.2.0',
'Sphinx>=1.7.1',
'sphinx_rtd_theme>=0.2.4',
# style check
'flake8>=3.5.0',
'isort>=4.3.4',
# fix style issues
'autoflake>=1.1',
'autopep8>=1.3.5',
# distribute on PyPI
'twine>=1.10.0',
'wheel>=0.30.0',
# Advanced testing
'coverage>=4.5.1',
'tox>=2.9.1',
]
extras_require = {
'test': test_require,
'dev': development_requirements + test_require,
}
setup(
author="MIT Data To AI Lab",
author_email='[email protected]',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
description="Generative adversarial training for synthesizing tabular data",
extras_require=extras_require,
entry_points={
'console_scripts': [
'tgan=tgan.cli:main'
]
},
install_package_data=True,
install_requires=install_requires,
license="MIT license",
long_description=readme + '\n\n' + history,
long_description_content_type='text/markdown',
include_package_data=True,
keywords='tgan',
name='tgan',
packages=find_packages(include=['tgan', 'tgan.*']),
python_requires='>=3.5',
setup_requires=setup_requires,
test_suite='tests',
tests_require=test_require,
url='https://github.com/sdv-dev/TGAN',
version='0.1.1-dev',
zip_safe=False,
)