mirror of
https://github.com/clearml/clearml-agent
synced 2025-01-31 00:56:53 +00:00
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""
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TRAINS - Artificial Intelligence Version Control
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TRAINS-AGENT DevOps for machine/deep learning
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https://github.com/allegroai/trains-agent
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"""
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# Always prefer setuptools over distutils
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from setuptools import setup, find_packages
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from six import exec_
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from pathlib2 import Path
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here = Path(__file__).resolve().parent
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# Get the long description from the README file
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long_description = (here / 'README.md').read_text()
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def read_version_string():
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result = {}
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exec_((here / 'trains_agent/version.py').read_text(), result)
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return result['__version__']
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version = read_version_string()
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requirements = (here / 'requirements.txt').read_text().splitlines()
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setup(
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name='trains_agent',
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version=version,
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description='Trains-Agent DevOps for deep learning (DevOps for TRAINS)',
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long_description=long_description,
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# The project's main homepage.
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url='https://github.com/allegroai/trains-agent',
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author='Allegroai',
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author_email='trains@allegro.ai',
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license='Apache License 2.0',
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classifiers=[
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'Development Status :: 4 - Beta',
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'Intended Audience :: Developers',
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'Intended Audience :: System Administrators',
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'Intended Audience :: Science/Research',
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'Operating System :: POSIX :: Linux',
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'Operating System :: MacOS :: MacOS X',
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'Operating System :: Microsoft',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Image Recognition',
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'Topic :: System :: Logging',
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'Topic :: System :: Monitoring',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'License :: OSI Approved :: Apache Software License',
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],
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keywords='trains devops machine deep learning agent automation hpc cluster',
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packages=find_packages(exclude=['contrib', 'docs', 'data', 'examples', 'tests*']),
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install_requires=requirements,
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extras_require={
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},
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package_data={
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'trains_agent': ['backend_api/config/default/*.conf']
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},
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include_package_data=True,
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# To provide executable scripts, use entry points in preference to the
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# "scripts" keyword. Entry points provide cross-platform support and allow
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# pip to create the appropriate form of executable for the target platform.
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entry_points={
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'console_scripts': ['trains-agent=trains_agent.__main__:main'],
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},
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)
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