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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2010 Matej Laitl <matej@laitl.cz>
# Distributed under the terms of the GNU General Public License v2 or any
# later version of the license, at your option.
from distutils.core import setup
import os.path
from support import determine_pybayes_version
from support.dist import PyBayesDistribution
dir = os.path.dirname(os.path.realpath(__file__))
version = determine_pybayes_version(dir=dir, fallback='0.3-post-nongit')
with open(os.path.join(dir ,'README.rst')) as file:
long_description = file.read()
setup(
packages=['pybayes', 'pybayes.stresses', 'pybayes.tests', 'pybayes.wrappers'],
package_data={'pybayes.stresses':['data/stress_kalman_data.mat']},
distclass=PyBayesDistribution,
# meta-data; see http://docs.python.org/distutils/setupscript.html#additional-meta-data
name='PyBayes',
version=version,
author='Matěj Laitl',
author_email='matej@laitl.cz',
maintainer='Matěj Laitl',
maintainer_email='matej@laitl.cz',
url='https://github.com/strohel/PyBayes',
description='Python library for recursive Bayesian estimation (Bayesian filtering)',
long_description=long_description,
# Note to myself: must manually upload on each release!
download_url='https://github.com/downloads/strohel/PyBayes/PyBayes-'+version+'.tar.gz',
platforms='cross-platform',
license='GNU GPL v2+',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License (GPL)',
'Operating System :: OS Independent',
'Programming Language :: Cython',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
'Topic :: Software Development :: Libraries :: Python Modules',
],
)