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setup.py
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from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='CloudHummingbird',
version='1.1.0',
description='A tool that recommends the best way to run your genomics pipelines on the cloud',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/StanfordBioinformatics/Hummingbird',
author='Stanford Center For Genomics And Personalized Medicine',
author_email='[email protected]',
classifiers=[
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
],
python_requires='>=3.8, <4',
install_requires=[
'dsub==0.3.6',
'future==0.18.3',
'configparser==5.0.0',
'scipy==1.10.0',
'numpy==1.23.0',
'matplotlib==3.5.2',
'scikit-learn==1.5.0',
'google-cloud-storage==1.30.0',
'boto3==1.18.6',
'azure-storage-blob==12.13.0',
'azure-identity==1.16.1',
'azure-batch==10.0.0',
'azure-mgmt-compute==18.0.0',
'retry==0.9.2',
],
extras_require={
'tests': ['mock']
},
include_package_data=True,
packages=find_packages(
exclude=('docs', 'scripts', 'Hummingbird/test')
),
package_data={
'Hummingbird': ['conf/examples/*'],
'Hummingbird': ['AWS/*'],
'Hummingbird': ['Azure/*'],
'Hummingbird': ['*.md'],
'Hummingbird': ['plot/*'],
'Hummingbird': ['*.conf'],
},
entry_points={
'console_scripts': [
'hummingbird=Hummingbird.hummingbird:main',
],
},
project_urls={
'Bug Reports': 'https://github.com/StanfordBioinformatics/Hummingbird/issues',
'Source': 'https://github.com/StanfordBioinformatics/Hummingbird',
},
)