content: 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('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 isotonic regression
      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())
  