text: """Image Processing SciKit (Toolbox for SciPy)
  
  ``scikit-image`` (a.k.a. ``skimage``) is a collection of algorithms for image
  processing and computer vision.
  
  The main package of ``skimage`` only provides a few utilities for converting
  between image data types; for most features, you need to import one of the
  following subpackages:
  
  Subpackages
  -----------
  color
      Color space conversion.
  data
      Test images and example data.
  draw
      Drawing primitives (lines, text, etc.) that operate on NumPy arrays.
  exposure
      Image intensity adjustment, e.g., histogram equalization, etc.
  feature
      Feature detection and extraction, e.g., texture analysis corners, etc.
  filters
      Sharpening, edge finding, rank filters, thresholding, etc.
  graph
      Graph-theoretic operations, e.g., shortest paths.
  io
      Reading, saving, and displaying images and video.
  measure
      Measurement of image properties, e.g., similarity and contours.
  morphology
      Morphological operations, e.g., opening or skeletonization.
  novice
      Simplified interface for teaching purposes.
  restoration
      Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.
  segmentation
      Partitioning an image into multiple regions.
  transform
      Geometric and other transforms, e.g., rotation or the Radon transform.
  util
      Generic utilities.
  viewer
      A simple graphical user interface for visualizing results and exploring
      parameters.
  
  Utility Functions
  -----------------
  img_as_float
      Convert an image to floating point format, with values in [0, 1].
  img_as_uint
      Convert an image to unsigned integer format, with values in [0, 65535].
  img_as_int
      Convert an image to signed integer format, with values in [-32768, 32767].
  img_as_ubyte
      Convert an image to unsigned byte format, with values in [0, 255].
  
  """
  
  import os.path as osp
  import imp
  import functools
  import warnings
  import sys
  
  pkg_dir = osp.abspath(osp.dirname(__file__))
  data_dir = osp.join(pkg_dir, 'data')
  
  __version__ = '0.14.0'
  
  try:
      imp.find_module('pytest')
  except ImportError:
      def _test(doctest=False, verbose=False):
          """This would run all unit tests, but pytest couldn't be
          imported so the test suite can not run.
          """
          raise ImportError("Could not load pytest. Unit tests not available.")
  
  else:
      def _test(doctest=False, verbose=False):
          """Run all unit tests."""
          import pytest
          import warnings
          args = ['skimage']
          if verbose:
              args.extend(['-v', '-s'])
          if doctest:
              args.extend(['--doctest-modules'])
              # Make sure warnings do not break the doc tests
              with warnings.catch_warnings():
                  warnings.simplefilter("ignore")
                  success = pytest.main(args)
          else:
              success = pytest.main(args)
          # Return sys.exit code
          if success:
              return 0
          else:
              return 1
  
  
  # do not use `test` as function name as this leads to a recursion problem with
  # the nose test suite
  test = _test
  test_verbose = functools.partial(test, verbose=True)
  test_verbose.__doc__ = test.__doc__
  doctest = functools.partial(test, doctest=True)
  doctest.__doc__ = doctest.__doc__
  doctest_verbose = functools.partial(test, doctest=True, verbose=True)
  doctest_verbose.__doc__ = doctest.__doc__
  
  
  # Logic for checking for improper install and importing while in the source
  # tree when package has not been installed inplace.
  # Code adapted from scikit-learn's __check_build module.
  _INPLACE_MSG = """
  It appears that you are importing a local scikit-image source tree. For
  this, you need to have an inplace install. Maybe you are in the source
  directory and you need to try from another location."""
  
  _STANDARD_MSG = """
  Your install of scikit-image appears to be broken.
  Try re-installing the package following the instructions at:
  http://scikit-image.org/docs/stable/install.html """
  
  
  def _raise_build_error(e):
      # Raise a comprehensible error
      local_dir = osp.split(__file__)[0]
      msg = _STANDARD_MSG
      if local_dir == "skimage":
          # Picking up the local install: this will work only if the
          # install is an 'inplace build'
          msg = _INPLACE_MSG
      raise ImportError("""%s
  It seems that scikit-image has not been built correctly.
  %s""" % (e, msg))
  
  try:
      # This variable is injected in the __builtins__ by the build
      # process. It used to enable importing subpackages of skimage when
      # the binaries are not built
      __SKIMAGE_SETUP__
  except NameError:
      __SKIMAGE_SETUP__ = False
  
  if __SKIMAGE_SETUP__:
      sys.stderr.write('Partial import of skimage during the build process.\n')
      # We are not importing the rest of the scikit during the build
      # process, as it may not be compiled yet
  else:
      try:
          from ._shared import geometry
          del geometry
      except ImportError as e:
          _raise_build_error(e)
      from .util.dtype import *
  
  
  def lookfor(what):
      """Do a keyword search on scikit-image docstrings.
  
      Parameters
      ----------
      what : str
          Words to look for.
  
      """
      import numpy as np
      import sys
      return np.lookfor(what, sys.modules[__name__])
  
  
  del warnings, functools, osp, imp, sys
  