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setup.py
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"""Setup file for lb-trksim-train
Original template at:
https://packaging.python.org/guides/distributing-packages-using-setuptools/
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='lb-trksim-train', # Required
version='0.1.0', # Required
description='Training pipeline for the parametrization of the tracking',
long_description=long_description,
long_description_content_type='text/markdown', # Optional (see note above)
url='https://github.com/landerlini/lb-trksim-train', # Optional
author='Lucio Anderlini', # Optional
author_email='[email protected]', # Optional
classifiers=[ # Optional
# Project maturity
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Software Development :: Code Generators',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
#'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3 :: Only',
],
keywords='machine-learning, simulation, lhcb, hep, high-energy-physics', # Optional
#package_dir={'': 'scikinC'}, # Optional
packages=find_packages(), # Required
python_requires='>=3.6, <4',
install_requires=[
'numpy',
'scipy',
'scikit-learn',
'scikinC[keras]>=0.1',
'tensorflow>=2.3',
'keras',
'html-reports>=0.2',
], # Optional
entry_points={ # Optional
'console_scripts': [
'LbTrksimTrain=LbTrksimTrain.__main__:main',
],
},
)