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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import re
from setuptools import setup, find_packages
from codecs import open
#get version from init file
version = ''
with open('__init__.py', 'r') as fd:
version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]',
fd.read(), re.MULTILINE).group(1)
#get the readme file for the long description below--optional
with open('README.md', 'rb', encoding='utf-8') as f:
readme = f.read()
# see https://github.com/pypa/sampleproject/blob/master/setup.py for explanation of each parameter and links
setup(
name='Bilateral Shapley',
version=version,
description="Employs Bilateral Shapley Value from coalition game theory as a tool to assess agent coalition formation",
long_description=readme,
url='https://github.com/tpike3/bilateralshapley',
author='Tom Pike',
author_email='tpike3@gmu.edu',
classifiers=[
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Life',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3 :: Only',
'License :: OSI Approved :: MIT License License',
'Operating System :: OS Independent',
'Development Status :: 2 - Pre-Alpha',
'Natural Language :: English',
],
keywords='agent based modeling model ABM simulation multi-agent coaltion game theory',
py_modules = ["BilateralShapley", "example"],
#for more elaborate projects with directories of files such as tests etc
#packages=find_packages(),
#package_data={'mesa': ['visualization/templates/*.html', 'visualization/templates/css/*',
# 'visualization/templates/fonts/*', 'visualization/templates/js/*']},
include_package_data=True,
install_requires=['networkx','mesa'],
)