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setup.py
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#!/usr/bin/env python
# This file is part of SMOC
# Copyright (C) 2018 Miguel Fernandes
#
# SMOC is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SMOC is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='SMOC',
version='0.1.0',
description='A Stochastic Multi-objective Optimizer for Cadence Virtuoso',
long_description=long_description,
long_description_content_type='text/markdown',
author='Miguel Fernandes',
author_email='[email protected]',
url='https://github.com/mdmfernandes/smoc',
packages=find_packages(),
keywords=[
'evolutionary algorithms', 'genetic algorithms', 'nsga-ii', 'circuit optimization',
'electronic design automation', 'cadence virtuoso'
],
platforms=['any'],
license='GPLv3',
classifiers=[
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)',
'Topic :: Software Development :: Genetic Algorithm'
],
entry_points={
'console_scripts': [
'smoc = smoc.__main__:main'
]
},
python_requires='>=3.6',
install_requires=[
'deap>=1.2.2',
'bokeh>=0.13.0',
'pyyaml>=3.13',
'socad>=0.1.0'
],
dependency_links=[
'git+git://github.com/mdmfernandes/socad#egg=SOCAD-0.1.0'
]
)