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setup.py
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setup.py
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#! /usr/bin/env python
#
# Copyright (C) 2012 Mathieu Blondel
import sys
import os
DISTNAME = 'lightning'
DESCRIPTION = "Large-scale sparse linear classification and " + \
"regression in Python/Cython"
LONG_DESCRIPTION = open('README.rst').read()
MAINTAINER = 'Mathieu Blondel'
MAINTAINER_EMAIL = '[email protected]'
URL = 'https://github.com/mblondel/lightning'
LICENSE = 'new BSD'
DOWNLOAD_URL = 'https://github.com/mblondel/lightning'
VERSION = '0.1-git'
import setuptools # we are using a setuptools namespace
from numpy.distutils.core import setup
def configuration(parent_package='', top_path=None):
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path)
config.add_subpackage('lightning')
return config
if __name__ == "__main__":
old_path = os.getcwd()
local_path = os.path.dirname(os.path.abspath(sys.argv[0]))
os.chdir(local_path)
sys.path.insert(0, local_path)
setup(configuration=configuration,
name=DISTNAME,
maintainer=MAINTAINER,
include_package_data=True,
scripts=["bin/lightning_train",
"bin/lightning_predict"],
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
version=VERSION,
download_url=DOWNLOAD_URL,
long_description=LONG_DESCRIPTION,
zip_safe=False, # the package can run out of an .egg file
classifiers=[
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved',
'Programming Language :: C',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS'
]
)