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#!/usr/bin/env python
import os
descr = """Crab is a flexible, fast recommender engine for Python. The engine
aims to provide a rich set of components from which you can construct a
customized recommender system from a set of algorithms."""
DISTNAME = 'scikits.crab'
DESCRIPTION = 'A recommender engine for Python.'
LONG_DESCRIPTION = open('README.md').read()
MAINTAINER = 'Marcel Caraciolo',
MAINTAINER_EMAIL = 'marcel@muricoca.com',
URL = 'http://muricoca.github.com/crab/'
LICENSE = 'new BSD'
DOWNLOAD_URL = "http://pypi.python.org/pypi/crab"
VERSION = '0.1'
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,
namespace_packages=['scikits'])
config.set_options(
ignore_setup_xxx_py=True,
assume_default_configuration=True,
delegate_options_to_subpackages=True,
quiet=True,
)
subpackages = ['.'.join(i[0].split('/')) for i in os.walk('scikits') if '__init__.py' in i[2]]
[config.add_subpackage(sub_package) for sub_package in subpackages]
config.add_data_files('scikits/__init__.py')
return config
if __name__ == "__main__":
setup(configuration=configuration,
name=DISTNAME,
version=VERSION,
include_package_data=True,
package_data={
'scikits': [
'crab/datasets/data/*.*',
'crab/datasets/descr/*.*',
]
},
install_requires='numpy',
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
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'
])
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