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import os
from os.path import join
from sklearn._build_utils import gen_from_templates
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension('sparsefuncs_fast',
sources=['sparsefuncs_fast.pyx'],
libraries=libraries)
config.add_extension('_cython_blas',
sources=['_cython_blas.pyx'],
libraries=libraries)
config.add_extension('arrayfuncs',
sources=['arrayfuncs.pyx'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension('murmurhash',
sources=['murmurhash.pyx', join(
'src', 'MurmurHash3.cpp')],
include_dirs=['src'])
config.add_extension('graph_shortest_path',
sources=['graph_shortest_path.pyx'],
include_dirs=[numpy.get_include()])
config.add_extension('_fast_dict',
sources=['_fast_dict.pyx'],
language="c++",
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension('_openmp_helpers',
sources=['_openmp_helpers.pyx'],
libraries=libraries)
# generate _seq_dataset from template
templates = ['sklearn/utils/_seq_dataset.pyx.tp',
'sklearn/utils/_seq_dataset.pxd.tp']
gen_from_templates(templates, top_path)
config.add_extension('_seq_dataset',
sources=['_seq_dataset.pyx'],
include_dirs=[numpy.get_include()])
config.add_extension('_weight_vector',
sources=['_weight_vector.pyx'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("_random",
sources=["_random.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("_logistic_sigmoid",
sources=["_logistic_sigmoid.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_subpackage('tests')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())
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