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setup.py
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setup.py
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from sys import version_info
from setuptools import setup, find_packages
if version_info[0] == 2:
exit("Sorry, Python 2 is not supported. Move to Python 3 already.")
def readme():
with open('README.rst') as fl:
return fl.read()
test_deps = [
'coverage',
'findspark',
'flake8',
'pylint',
'pytest>=3.6.2',
'pytest-cov',
'pytest-pep8',
'scikit-learn',
'yapf'
]
doc_deps = [
'sphinx',
'sphinx_fontawesome',
'sphinxcontrib-fulltoc'
]
setup(
name='pybda',
version='0.1.1',
description='Analysis of big biological data sets for distributed HPC clusters.',
long_description=readme(),
url='https://github.com/cbg-ethz/pybda',
author='Simon Dirmeier',
author_email='[email protected]',
license='GPLv3',
keywords='bigdata analysis pipeline workflow spark pyspark machinelearning',
packages=find_packages(),
scripts=['scripts/pybda'],
include_package_data=True,
python_requires='>=3',
install_requires=[
'click>=6.7',
'joypy>=0.1.9',
'matplotlib>=2.2.3',
'numpy>=1.15.0',
'pandas>=0.23.3',
'pyspark==2.4.0',
'scipy>=1.0.0',
'seaborn>=0.9.0',
'snakemake>=5.7.1',
'sparkhpc>=0.3.post4'
],
test_requires=test_deps,
extras_require={
'test': test_deps,
'doc': doc_deps,
'dev': test_deps + doc_deps
},
classifiers=[
'Development Status :: 3 - Alpha',
'Environment :: Console',
'Intended Audience :: End Users/Desktop',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6'
]
)