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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
install_requires = [
'baytune>=0.3.6.dev0',
'tabulate>=0.8.3,<0.9',
'd3m==2020.1.9',
'datamart-rest==0.2.3',
'gitdb2>=2,<3.0.2',
# 'numpy==1.17.3',
# 'scikit-learn[alldeps]==0.21.3',
# 'Cython==0.29.7',
# 'PyYAML==5.1.2',
]
setup_requires = [
'pytest-runner>=2.11.1',
]
tests_require = [
'pytest>=3.4.2',
'pytest-cov>=2.6.0',
]
development_requires = [
# 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>=3.7.7',
'isort>=4.3.4',
# fix style issues
'autoflake>=1.2',
'autopep8>=1.4.3',
# distribute on PyPI
'twine>=1.10.0',
'wheel>=0.30.0',
# Advanced testing
'tox>=2.9.1',
'coverage>=4.5.1',
]
setup(
author="MIT Data To AI Lab",
author_email='dailabmit@gmail.com',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
],
description='MIT-Featuretools TA2 submission for the D3M program.',
entry_points={
'console_scripts': [
'ta2=ta2.__main__:main',
]
},
extras_require={
'test': tests_require,
'dev': development_requires + tests_require,
},
include_package_data=True,
install_requires=install_requires,
keywords='mit-d3m-ta2 ta2 d3m machine learning automl ml',
license="MIT license",
name='mit-d3m-ta2',
packages=find_packages(include=['ta2', 'ta2.*']),
python_requires='>=3.6, <3.7',
setup_requires=setup_requires,
test_suite='tests',
tests_require=tests_require,
url='https://github.com/HDI-Project/mit-d3m-ta2',
version='0.2.0-dev',
zip_safe=False,
)