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setup.py
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setup.py
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#!/usr/bin/env python3
# for installation run me with: pip install .
# or for editable/develop mode with: pip install -e .
import os
from setuptools import setup, find_packages
from pypef import __version__
directory_readme = os.path.join(os.path.dirname(__file__), "README.md")
with open(directory_readme, 'r') as readme:
long_description = readme.read()
long_description = long_description.replace(".github/imgs/", "https://github.com/niklases/PyPEF/raw/main/.github/imgs/")
with open("requirements.txt", "r", encoding="utf-8") as install_requirements:
requirements = install_requirements.read()
setup(
name='pypef',
version=__version__.split('-')[0],
author='Niklas Siedhoff & Alexander-Maurice Illig',
author_email='[email protected]',
license='CC BY-NC-SA 4.0',
description='A command-line interface (CLI) tool for performing data-driven protein engineering '
'by building machine learning (ML)-trained regression models from sequence variant '
'fitness data (in CSV format) based on different techniques for protein sequence encoding. '
'Next to building pure ML models, \"hybrid modeling\" is also possible using a blended '
'model optimized for predictive contributions of a statistical and an ML-based prediction.',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/niklases/PyPEF',
py_modules=['pypef'],
packages=find_packages(include=['pypef', 'pypef.*']),
package_data={'pypef': ['ml/AAindex/*', 'ml/AAindex/Refined_cluster_indices_r0.93_r0.97/*']},
include_package_data=True,
install_requires=[requirements],
python_requires='>= 3.9, < 3.12',
keywords='Pythonic Protein Engineering Framework',
classifiers=[
'Development Status :: 3 - Alpha',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Artificial Intelligence'
],
entry_points={
'console_scripts': [
'pypef = pypef.main:run_main'
],
}
)