old_contents: import os
  
  def configuration(parent_package='',top_path=None):
      from numpy.distutils.misc_util import Configuration
      config = Configuration('sandbox',parent_package,top_path)
  
      sandbox_packages = []
      try:
          sandbox_file = open(os.path.join(config.package_path,
                                           'enabled_packages.txt'), 'rU')
      except IOError:
          pass
      else:
          for line in sandbox_file:
              p = line.strip()
              if line.startswith('#'):
                  continue
              sandbox_packages.append(p)
          sandbox_file.close()
  
      for p in sandbox_packages:
          config.add_subpackage(p)
  
      # All subpackages should be commented out in the version
      # committed to the repository. This prevents build problems
      # for people who are not actively working with these
      # potentially unstable packages.
  
      # You can put a list of modules you want to always enable in the
      # file 'enabled_packages.txt' in this directory (you'll have to create it).
      # Since this isn't under version control, it's less likely you'll
      # check it in and screw other people up :-)
  
      # An example package:
      #config.add_subpackage('exmplpackage')
  
      # Monte Carlo package
      #config.add_subpackage('montecarlo')
  
      # PySparse fork with NumPy compatibility
      #config.add_subpackage('pysparse')
  
      # Robert Kern's corner:
      #config.add_subpackage('rkern')
  
      # ODRPACK
      #config.add_subpackage('odr')
  
      # Delaunay triangulation and Natural Neighbor interpolation
      #config.add_subpackage('delaunay')
  
      # Gist-based plotting library for X11
      #config.add_subpackage('xplt')
  
      # elementwise numerical expressions
      #config.add_subpackage('numexpr')
  
      # Statistical models
      #config.add_subpackage('models')
  
      # Adaptation of Scientific.IO (2.4.9) to use NumPy
      #config.add_subpackage('netcdf')
  
      # Finite Difference Formulae package
      #config.add_subpackage('fdfpack')
  
      # Package with useful constants and unit-conversions defined
      #config.add_subpackage('constants')
  
      # Interpolating between sparse samples
      #config.add_subpackage('buildgrid')
  
      # Package for Support Vector Machine 
      #config.add_subpackage('svm')
  
      # Package for Gaussian Mixture Models
      #config.add_subpackage('pyem')
  
      # David Cournapeau's corner: autocorrelation, lpc, lpc residual
      config.add_subpackage('cdavid')
  
      # New spline package (based on scipy.interpolate)
      #config.add_subpackage('spline')
  
      return config
  
  if __name__ == '__main__':
      from numpy.distutils.core import setup
      setup(**configuration(top_path='').todict())
  
new_contents: import os
  
  def configuration(parent_package='',top_path=None):
      from numpy.distutils.misc_util import Configuration
      config = Configuration('sandbox',parent_package,top_path)
  
      sandbox_packages = []
      try:
          sandbox_file = open(os.path.join(config.package_path,
                                           'enabled_packages.txt'), 'rU')
      except IOError:
          pass
      else:
          for line in sandbox_file:
              p = line.strip()
              if line.startswith('#'):
                  continue
              sandbox_packages.append(p)
          sandbox_file.close()
  
      for p in sandbox_packages:
          config.add_subpackage(p)
  
      # All subpackages should be commented out in the version
      # committed to the repository. This prevents build problems
      # for people who are not actively working with these
      # potentially unstable packages.
  
      # You can put a list of modules you want to always enable in the
      # file 'enabled_packages.txt' in this directory (you'll have to create it).
      # Since this isn't under version control, it's less likely you'll
      # check it in and screw other people up :-)
  
      # An example package:
      #config.add_subpackage('exmplpackage')
  
      # Monte Carlo package
      #config.add_subpackage('montecarlo')
  
      # PySparse fork with NumPy compatibility
      #config.add_subpackage('pysparse')
  
      # Robert Kern's corner:
      #config.add_subpackage('rkern')
  
      # ODRPACK
      #config.add_subpackage('odr')
  
      # Delaunay triangulation and Natural Neighbor interpolation
      #config.add_subpackage('delaunay')
  
      # Gist-based plotting library for X11
      #config.add_subpackage('xplt')
  
      # elementwise numerical expressions
      #config.add_subpackage('numexpr')
  
      # Statistical models
      #config.add_subpackage('models')
  
      # Adaptation of Scientific.IO (2.4.9) to use NumPy
      #config.add_subpackage('netcdf')
  
      # Finite Difference Formulae package
      #config.add_subpackage('fdfpack')
  
      # Package with useful constants and unit-conversions defined
      #config.add_subpackage('constants')
  
      # Interpolating between sparse samples
      #config.add_subpackage('buildgrid')
  
      # Package for Support Vector Machine 
      #config.add_subpackage('svm')
  
      # Package for Gaussian Mixture Models
      #config.add_subpackage('pyem')
  
      # David Cournapeau's corner: autocorrelation, lpc, lpc residual
      #config.add_subpackage('cdavid')
  
      # New spline package (based on scipy.interpolate)
      #config.add_subpackage('spline')
  
      return config
  
  if __name__ == '__main__':
      from numpy.distutils.core import setup
      setup(**configuration(top_path='').todict())
  
subject: Remove accidently added packages in Lib/sandbox/setup.py