85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
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import os
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from os.path import join
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from sklearn._build_utils import get_blas_info
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def configuration(parent_package='', top_path=None):
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import numpy
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from numpy.distutils.misc_util import Configuration
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config = Configuration('utils', parent_package, top_path)
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config.add_subpackage('sparsetools')
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cblas_libs, blas_info = get_blas_info()
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cblas_compile_args = blas_info.pop('extra_compile_args', [])
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cblas_includes = [join('..', 'src', 'cblas'),
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numpy.get_include(),
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blas_info.pop('include_dirs', [])]
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libraries = []
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if os.name == 'posix':
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libraries.append('m')
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cblas_libs.append('m')
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config.add_extension('sparsefuncs_fast', sources=['sparsefuncs_fast.pyx'],
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libraries=libraries)
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config.add_extension('arrayfuncs',
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sources=['arrayfuncs.pyx'],
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depends=[join('src', 'cholesky_delete.h')],
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libraries=cblas_libs,
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include_dirs=cblas_includes,
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extra_compile_args=cblas_compile_args,
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**blas_info
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)
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config.add_extension('murmurhash',
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sources=['murmurhash.pyx', join(
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'src', 'MurmurHash3.cpp')],
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include_dirs=['src'])
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config.add_extension('lgamma',
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sources=['lgamma.pyx', join('src', 'gamma.c')],
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include_dirs=['src'],
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libraries=libraries)
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config.add_extension('graph_shortest_path',
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sources=['graph_shortest_path.pyx'],
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include_dirs=[numpy.get_include()])
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config.add_extension('fast_dict',
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sources=['fast_dict.pyx'],
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language="c++",
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include_dirs=[numpy.get_include()],
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libraries=libraries)
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config.add_extension('seq_dataset',
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sources=['seq_dataset.pyx'],
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include_dirs=[numpy.get_include()])
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config.add_extension('weight_vector',
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sources=['weight_vector.pyx'],
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include_dirs=cblas_includes,
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libraries=cblas_libs,
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**blas_info)
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config.add_extension("_random",
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sources=["_random.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries)
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config.add_extension("_logistic_sigmoid",
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sources=["_logistic_sigmoid.pyx"],
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include_dirs=[numpy.get_include()],
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libraries=libraries)
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config.add_subpackage('tests')
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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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setup(**configuration(top_path='').todict())
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