import os from os.path import join import warnings def configuration(parent_package='', top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info, BlasNotFoundError import numpy libraries = [] if os.name == 'posix': libraries.append('m') config = Configuration('sklearn', parent_package, top_path) config.add_subpackage('__check_build') config.add_subpackage('svm') config.add_subpackage('datasets') config.add_subpackage('datasets/tests') config.add_subpackage('feature_extraction') config.add_subpackage('feature_extraction/tests') config.add_subpackage('cluster') config.add_subpackage('cluster/tests') config.add_subpackage('cluster/bicluster') config.add_subpackage('cluster/bicluster/tests') config.add_subpackage('covariance') config.add_subpackage('covariance/tests') config.add_subpackage('cross_decomposition') config.add_subpackage('decomposition') config.add_subpackage('decomposition/tests') config.add_subpackage("ensemble") config.add_subpackage("ensemble/tests") config.add_subpackage('feature_selection') config.add_subpackage('feature_selection/tests') config.add_subpackage('utils') config.add_subpackage('utils/tests') config.add_subpackage('externals') config.add_subpackage('mixture') config.add_subpackage('mixture/tests') config.add_subpackage('gaussian_process') config.add_subpackage('gaussian_process/tests') config.add_subpackage('neighbors') config.add_subpackage('neural_network') config.add_subpackage('preprocessing') config.add_subpackage('manifold') config.add_subpackage('metrics') config.add_subpackage('semi_supervised') config.add_subpackage("tree") config.add_subpackage("tree/tests") config.add_subpackage('metrics/tests') config.add_subpackage('metrics/cluster') config.add_subpackage('metrics/cluster/tests') # add cython extension module for hmm config.add_extension( '_hmmc', sources=['_hmmc.c'], include_dirs=[numpy.get_include()], libraries=libraries, ) config.add_extension( '_isotonic', sources=['_isotonic.c'], include_dirs=[numpy.get_include()], libraries=libraries, ) # some libs needs cblas, fortran-compiled BLAS will not be sufficient blas_info = get_info('blas_opt', 0) if (not blas_info) or ( ('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])): config.add_library('cblas', sources=[join('src', 'cblas', '*.c')]) warnings.warn(BlasNotFoundError.__doc__) # the following packages depend on cblas, so they have to be build # after the above. config.add_subpackage('linear_model') config.add_subpackage('utils') # add the test directory config.add_subpackage('tests') return config if __name__ == '__main__': from numpy.distutils.core import setup setup(**configuration(top_path='').todict())