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setup.py
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setup.py
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import setuptools
from os import path
import chemlg
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
# with open(path.join(here, 'README.md')) as f:
# long_description = f.read()
if __name__ == "__main__":
setuptools.setup(
name='chemlg',
version=chemlg.__version__,
author='Mohammad Atif Faiz Afzal, Gaurav Vishwakarma, Johannes Hachmann',
author_email='m27@buffalo.edu, gvishwak@buffalo.edu hachmann@buffalo.edu',
# url='https://github.com/hachmannlab/chemml',
project_urls={
'Source': 'https://github.com/hachmannlab/chemlg',
'url': 'https://hachmannlab.github.io/chemlg/'
},
description=
'ChemLG is a smart and massive parallel molecular library generator for chemical and materials sciences.',
# long_description=long_description,
scripts=['lib/chemlgshell'],
keywords=[
'Library Generator', 'Molecular Library',
'Materials Science', 'Drug Discovery'
],
license='BSD-3C',
packages=setuptools.find_packages(),
include_package_data=True,
install_requires=[
'future', 'six',
'numpy', 'pandas',
'scipy'
],
extras_require={
'docs': [
'sphinx',
'sphinxcontrib-napoleon',
'sphinx_rtd_theme',
'numpydoc',
'nbsphinx'
],
'tests': [
'pytest',
'pytest-cov',
'pytest-pep8',
'tox',
],
},
tests_require=[
'pytest',
'pytest-cov',
'pytest-pep8',
'tox',
],
classifiers=[
'Development Status :: 4 - Beta',
'Natural Language :: English',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
zip_safe=False,
)