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setup.py
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59 lines (50 loc) · 2.03 KB
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"""
MultirefPredict
Automated workflow to predict multireference character of molecules in quantum chemistry calculation
"""
from setuptools import setup, find_packages
import versioneer
short_description = __doc__.split("\n")
try:
with open("README.md", "r") as handle:
long_description = handle.read()
except:
long_description = "\n".join(short_description[2:]),
setup(
# Self-descriptive entries which should always be present
name='MultirefPredict',
author='Kulik group at MIT',
author_email='fangliu@mit.edu',
description=short_description[0],
long_description=long_description,
long_description_content_type="text/markdown",
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
license='BSD-3-Clause',
# Which Python importable modules should be included when your package is installed
#packages=['MultirefPredict', "MultirefPredict.tests"],
packages=find_packages(),
# Optional include package data to ship with your package
# Comment out this line to prevent the files from being packaged with your software
# Extend/modify the list to include/exclude other items as need be
package_data={'MultirefPredict': ["data/*.dat"]
},
# Additional entries you may want simply uncomment the lines you want and fill in the data
# author_email='me@place.org', # Author email
# url='http://www.my_package.com', # Website
install_requires=[
'qcelemental>=0.2.6',
'qcengine',
], # Required packages, pulls from pip if needed; do not use for Conda deployment
tests_require=[
'pytest',
'pytest-cov',
],
# platforms=['Linux',
# 'Mac OS-X',
# 'Unix',
# 'Windows'], # Valid platforms your code works on, adjust to your flavor
python_requires=">=3.6", # Python version restrictions
# Manual control if final package is compressible or not, set False to prevent the .egg from being made
# zip_safe=False,
)