53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
#!/usr/bin/env python
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#from distutils.core import setup
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short_description=\
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"""Library routines for performing L-shaped matrix decompositon.
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"""
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long_description=\
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"""Library for performing L-shaped low rank models. An L shaped decomposition
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is a a situation where a matrices X (n, p), Y (n, o) and Z (k, p) are
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aproximated by low rank bilinear models (X ~ TP', Y~ TQ', Z ~ OW') in a way
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that common patterns between the X-Y, and X-Z are identified.
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"""
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classifiers = """\
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Development Status :: 4 - Beta
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Environment :: Console
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Intended Audience :: Developers
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Intended Audience :: Science/Research
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License :: OSI Approved :: BSD License
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Operating System :: OS Independent
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Programming Language :: Python
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Topic :: Scientific/Engineering
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Topic :: Software Development :: Libraries :: Python Modules
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"""
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from pyblm import __version__
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def configuration(parent_package='',top_path=None):
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from numpy.distutils.misc_util import Configuration
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config = Configuration('', parent_package, top_path)
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config.add_data_dir('tests')
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#config.add_data_files(['lplslib',('COPYING','README')])
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config.add_subpackage('pyblm')
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config.add_subpackage('arpack')
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return config
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if __name__ == "__main__":
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from numpy.distutils.core import setup
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config = configuration(top_path='').todict()
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config['author'] = 'Arnar Flatberg'
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config['author_email'] = 'arnar.flatberg at gmail.com'
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# config['short_description'] = short_description
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config['long_description'] = long_description
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config['url'] = 'https://dev.pvv.org/projects/pyblm'
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config['version'] = __version__
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config['license'] = 'BSD'
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config['platforms'] = ['Linux']
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config['classifiers'] = filter(None, classifiers.split('\n'))
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setup(**config)
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