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setup.py
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setup.py
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from setuptools import setup, find_packages
import tensorhive
import os
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='tensorhive',
version=tensorhive.__version__,
license='Apache License 2.0',
packages=find_packages(),
include_package_data=True,
entry_points={
'console_scripts': [
'tensorhive = tensorhive.__main__:main'
],
},
description='A user-friendly GPU management tool for distributed machine learning workloads',
long_description=long_description,
long_description_content_type='text/markdown',
author='Pawel Rosciszewski, Michal Martyniak, Filip Schodowski',
author_email='[email protected]',
url='https://github.com/roscisz/TensorHive',
download_url='https://github.com/roscisz/TensorHive/archive/{}.tar.gz'.format(tensorhive.__version__),
keywords='gpu reservation calendar monitoring machine learning distributed tensorflow pytorch',
install_requires=[
'alembic==1.0.3',
'bcrypt==3.1.7',
'certifi==2020.12.5',
'cffi==1.14.5',
'chardet==4.0.0',
'Click==7.0',
'clickclick==20.10.2',
'coloredlogs==10.0',
'connexion==2.5.0',
'cryptography==3.2.1',
'Flask==1.1.4',
'Flask-Cors==3.0.9',
'Flask-JWT-Extended==3.13.1',
'gevent==21.1.2',
'greenlet==1.1.0',
'gunicorn==19.9.0',
'humanfriendly==9.1',
'idna==2.10',
'inflection==0.5.1',
'itsdangerous==1.1.0',
'Jinja2==2.11.3',
'jsonschema==2.6.0',
'Mako==1.1.4',
'MarkupSafe==1.1.1',
'openapi-spec-validator==0.2.9',
'paramiko==2.7.2',
'parallel-ssh==1.9.1',
'passlib==1.7.1',
'pycparser==2.20',
'PyJWT==1.7.1',
'PyNaCl==1.4.0',
'python-dateutil==2.8.1',
'python-editor==1.0.4',
'python-usernames==0.2.3',
'PyYAML==5.3.1',
'requests==2.25.1',
'Safe==0.4',
'six==1.16.0',
'SQLAlchemy==1.3.0',
'SQLAlchemy-Utils==0.33.8',
'ssh2-python==0.26.0',
'stringcase==1.2.0',
'swagger_ui_bundle==0.0.8',
'urllib3==1.26.5',
'Werkzeug==0.16.1',
'zope.event==4.5.0',
'zope.interface==5.4.0',
],
zip_safe=False
)