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from setuptools import find_packages, setup | ||
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install_requires = ["numpy", | ||
"networkx", | ||
"tqdm", | ||
"python-louvain", | ||
"scikit-learn", | ||
"scipy", | ||
"pygsp", | ||
"gensim==3.8.3", | ||
"pandas", | ||
"six"] | ||
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setup_requires = ['pytest-runner'] | ||
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tests_require = ['pytest', | ||
'pytest-cov', | ||
'mock'] | ||
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keywords = ["data-science", | ||
"machine-learning", | ||
"networkx", | ||
"graph", | ||
"data-mining", | ||
"attack", | ||
"simulation", | ||
"vulnerability", | ||
"networks", | ||
"epidemics", | ||
"defense", | ||
"graph-mining", | ||
"diffusion", | ||
"robustness", | ||
"graph-attack", | ||
"adversarial-attacks", | ||
"network-attack", | ||
"cascading-failures", | ||
"netshield"] | ||
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setup( | ||
name="graph-tiger", | ||
packages=find_packages(), | ||
version="0.1.0", | ||
license="MIT", | ||
description="A general purpose library for graph vulnerability and robustness analysis.", | ||
author="Scott Freitas", | ||
author_email="[email protected]", | ||
url="https://github.com/safreita1/TIGER", | ||
keywords=keywords, | ||
install_requires=install_requires, | ||
setup_requires=setup_requires, | ||
tests_require=tests_require, | ||
classifiers=["Development Status :: 3 - Alpha", | ||
"Intended Audience :: Developers", | ||
"License :: OSI Approved :: MIT License", | ||
"Programming Language :: Python :: 3.6"], | ||
) |