old_contents: """\
  SciPy --- A scientific computing package for Python
  ===================================================
  
  Documentation is available in the docstrings and
  online at http://docs.scipy.org.
  """
  
  __all__ = ['pkgload','test']
  
  from numpy import show_config as show_numpy_config
  if show_numpy_config is None:
      raise ImportError,"Cannot import scipy when running from numpy source directory."
  from numpy import __version__ as __numpy_version__
  
  # Import numpy symbols to scipy name space
  import numpy as _num
  from numpy import oldnumeric
  from numpy import *
  from numpy.random import rand, randn
  from numpy.fft import fft, ifft
  from numpy.lib.scimath import *
  
  # Emit a warning if numpy is too old
  majver, minver = [float(i) for i in _num.version.version.split('.')[:2]]
  if majver < 1 or (majver == 1 and minver < 2):
      import warnings
      warnings.warn("Numpy 1.2.0 or above is recommended for this version of " \
                    "scipy (detected version %s)" % _num.version.version,
                    UserWarning)
  
  __all__ += ['oldnumeric']+_num.__all__
  
  __all__ += ['randn', 'rand', 'fft', 'ifft']
  
  if __doc__:
      __doc__ += """
  Contents
  --------
  
    numpy name space
  """
  del _num
  # Remove the linalg imported from numpy so that the scipy.linalg package can be
  # imported.
  del linalg
  __all__.remove('linalg')
  
  try:
      from __config__ import show as show_config
  except ImportError, e:
      msg = """Error importing scipy: you cannot import scipy while
      being in scipy source directory; please exit the scipy source
      tree first, and relaunch your python intepreter."""
      raise ImportError(msg)
  from version import version as __version__
  
  # Load scipy packages, their global_symbols, set up __doc__ string.
  from numpy._import_tools import PackageLoader
  import os as _os
  SCIPY_IMPORT_VERBOSE = int(_os.environ.get('SCIPY_IMPORT_VERBOSE','-1'))
  del _os
  pkgload = PackageLoader()
  pkgload(verbose=SCIPY_IMPORT_VERBOSE,postpone=True)
  
  # Remove subpackage names from __all__ such that they are not imported via
  # "from scipy import *". This works around a numpy bug present in < 1.2.
  subpackages = """cluster constants fftpack integrate interpolate io lib linalg
  linsolve maxentropy misc ndimage odr optimize signal sparse special
  splinalg stats stsci weave""".split()
  for name in subpackages:
      try:
          __all__.remove(name)
      except ValueError:
          pass
  
  del name, subpackages
  
  if __doc__:
      __doc__ += """
  
  Available subpackages
  ---------------------
  """
  if __doc__:
      __doc__ += pkgload.get_pkgdocs()
  
  from numpy.testing import Tester
  test = Tester().test
  bench = Tester().bench
  if __doc__:
      __doc__ += """
  
  Utility tools
  -------------
  
    test        --- Run scipy unittests
    pkgload     --- Load scipy packages
    show_config --- Show scipy build configuration
    show_numpy_config --- Show numpy build configuration
    __version__ --- Scipy version string
    __numpy_version__ --- Numpy version string
  
  Environment variables
  ---------------------
  
    SCIPY_IMPORT_VERBOSE --- pkgload verbose flag, default is 0.
  """
  
new_contents: """\
  SciPy --- A scientific computing package for Python
  ===================================================
  
  Documentation is available in the docstrings and
  online at http://docs.scipy.org.
  """
  
  __all__ = ['pkgload','test']
  
  from numpy import show_config as show_numpy_config
  if show_numpy_config is None:
      raise ImportError,"Cannot import scipy when running from numpy source directory."
  from numpy import __version__ as __numpy_version__
  
  # Import numpy symbols to scipy name space
  import numpy as _num
  from numpy import oldnumeric
  from numpy import *
  from numpy.random import rand, randn
  from numpy.fft import fft, ifft
  from numpy.lib.scimath import *
  
  # Emit a warning if numpy is too old
  majver, minver = [float(i) for i in _num.version.version.split('.')[:2]]
  if majver < 1 or (majver == 1 and minver < 2):
      import warnings
      warnings.warn("Numpy 1.2.0 or above is recommended for this version of " \
                    "scipy (detected version %s)" % _num.version.version,
                    UserWarning)
  
  __all__ += ['oldnumeric']+_num.__all__
  
  __all__ += ['randn', 'rand', 'fft', 'ifft']
  
  if __doc__:
      __doc__ += """
  Contents
  --------
  SciPy imports all the functions from the NumPy namespace, and in
  addition provides:"""
  
  del _num
  # Remove the linalg imported from numpy so that the scipy.linalg package can be
  # imported.
  del linalg
  __all__.remove('linalg')
  
  try:
      from __config__ import show as show_config
  except ImportError, e:
      msg = """Error importing scipy: you cannot import scipy while
      being in scipy source directory; please exit the scipy source
      tree first, and relaunch your python intepreter."""
      raise ImportError(msg)
  from version import version as __version__
  
  # Load scipy packages, their global_symbols, set up __doc__ string.
  from numpy._import_tools import PackageLoader
  import os as _os
  SCIPY_IMPORT_VERBOSE = int(_os.environ.get('SCIPY_IMPORT_VERBOSE','-1'))
  del _os
  pkgload = PackageLoader()
  pkgload(verbose=SCIPY_IMPORT_VERBOSE,postpone=True)
  
  if __doc__:
      __doc__ += """
  
  Available subpackages
  ---------------------
  """
  if __doc__:
      __doc__ += pkgload.get_pkgdocs()
  
  from numpy.testing import Tester
  test = Tester().test
  bench = Tester().bench
  if __doc__:
      __doc__ += """
  
  Utility tools
  -------------
  
    test        --- Run scipy unittests
    pkgload     --- Load scipy packages
    show_config --- Show scipy build configuration
    show_numpy_config --- Show numpy build configuration
    __version__ --- Scipy version string
    __numpy_version__ --- Numpy version string
  
  Environment variables
  ---------------------
  
    SCIPY_IMPORT_VERBOSE --- pkgload verbose flag, default is 0.
  """
  
subject: Clean up __init__.