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setup.py
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setup.py
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from setuptools import setup, find_packages
import os
with open(os.path.join(".", "gmql", "resources", "version"), "r") as f_ver:
version = f_ver.read().strip()
with open(os.path.join(".", "gmql", "resources", "github_url"), "r") as f_ver:
github_url = f_ver.read().strip()
setup(name='gmql',
version=version,
description='Python Library for data analysis based on GMQL',
long_description="PyGMQL is a python module that enables the user "
"to perform operation on genomic data in a scalable way.",
url=github_url,
author='Luca Nanni, Pietro Pinoli, Arif Canakoglu, Stefano Ceri',
author_email='luca.nanni@polimi.it',
license='MIT',
packages=find_packages(exclude=("gmql.ml",)), # temporary
scripts=['scripts/pygmql_login.py',
'scripts/pygmql_win.bat',
'scripts/pygmql.sh'],
install_requires=['pandas',
'tqdm',
'numpy',
'py4j',
'requests',
'requests-toolbelt',
'strconv',
'typecheck-decorator',
'numpy', 'findspark',
'sphinx_rtd_theme'
# 'sklearn',
# 'pyclustering',
# 'matplotlib',
# 'scipy', 'wordcloud',
# fancyimpute'
],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Information Analysis',
'Programming Language :: Python :: 3'
],
keywords="genomics big data pandas python",
python_requires='>=3.0, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*',
include_package_data=True,
zip_safe=False)