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setup.py
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"""
TRAINS - Artificial Intelligence Version Control
https://github.com/allegroai/trains
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from six import exec_
from pathlib2 import Path
here = Path(__file__).resolve().parent
# Get the long description from the README file
long_description = (here / 'README.md').read_text()
def read_version_string():
result = {}
exec_((here / 'trains/version.py').read_text(), result)
return result['__version__']
version = read_version_string()
requirements = (here / 'requirements.txt').read_text().splitlines()
setup(
name='trains',
version=version,
description='TRAINS - Auto-Magical Experiment Manager & Version Control for AI',
long_description=long_description,
long_description_content_type='text/markdown',
# The project's main homepage.
url='https://github.com/allegroai/trains',
author='Allegroai',
author_email='trains@allegro.ai',
license='Apache License 2.0',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Operating System :: POSIX :: Linux',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Version Control',
'Topic :: System :: Logging',
'Topic :: System :: Monitoring',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'License :: OSI Approved :: Apache Software License',
],
keywords='trains development machine deep learning version control machine-learning machinelearning '
'deeplearning deep-learning experiment-manager experimentmanager',
packages=find_packages(exclude=['contrib', 'docs', 'data', 'examples', 'tests']),
install_requires=requirements,
package_data={
'trains': ['config/default/*.conf', 'backend_api/config/default/*.conf']
},
include_package_data=True,
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
'trains-init = trains.config.default.__main__:main',
],
},
)