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setup.py
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setup.py
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"""
PTM-X - a random forest classifier to predict PTM crosstalk intra and inter
proteins.
Web server: http://bioinfo.bjmu.edu.cn/ptm-x/
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
import PTMXtalk
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
# reqs = ['numpy>=1.12.0', 'scipy>=0.18.1', 'scikit-learn>=0.17', 'joblib>=0.11']
reqs = ['numpy', 'scipy', 'scikit-learn', 'joblib']
setup(
name='PTMXtalk',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version=PTMXtalk.__version__,
description='PTMXtalk: PTM cross-talk predictor',
long_description=long_description,
# The project's main homepage.
url='https://github.com/huangyh09/PTM-X',
# Author details
author='Yuanhua Huang',
author_email='[email protected]',
# Choose your license
license='Apache License 2.0',
# What does your project relate to?
keywords=['Post-translational modification', 'cross-talk',
'co-evolution', 'random forest'],
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(),
entry_points={
'console_scripts': [
'PTMX-predict = PTMXtalk.predict:main',
'PTMX-feature = PTMXtalk.feature_extractor:main'
],
},
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=reqs,
py_modules = ['PTMXtalk']
# buid the distribution: python setup.py sdist
# upload to pypi: twine upload dist/...
)