old_contents: __authors__ = "Ian Goodfellow"
  __copyright__ = "Copyright 2010-2012, Universite de Montreal"
  __credits__ = ["Ian Goodfellow"]
  __license__ = "3-clause BSD"
  __maintainer__ = "Ian Goodfellow"
  __email__ = "goodfeli@iro"
  
  import numpy as N
  from pylearn2.datasets import dense_design_matrix
  from pylearn2.utils.serial import load
  
  class Wiskott(dense_design_matrix.DenseDesignMatrix):
      """
      .. todo::
  
          WRITEME
      """
      def __init__(self):
  
          path = "${PYLEARN2_DATA_PATH}/data/lisa/data/wiskott/wiskott"
               + "_fish_layer0_15_standard_64x64_shuffled.npy"
  
          X = 1. - load(path)
  
          view_converter = dense_design_matrix.DefaultViewConverter((64,64,1))
  
          super(Wiskott,self).__init__(X = X, view_converter = view_converter)
  
          assert not N.any(N.isnan(self.X))
  
new_contents: __authors__ = "Ian Goodfellow"
  __copyright__ = "Copyright 2010-2012, Universite de Montreal"
  __credits__ = ["Ian Goodfellow"]
  __license__ = "3-clause BSD"
  __maintainer__ = "Ian Goodfellow"
  __email__ = "goodfeli@iro"
  
  import numpy as N
  from pylearn2.datasets import dense_design_matrix
  from pylearn2.utils.serial import load
  
  class Wiskott(dense_design_matrix.DenseDesignMatrix):
      """
      .. todo::
  
          WRITEME
      """
      def __init__(self):
  
          path = "${PYLEARN2_DATA_PATH}/wiskott/wiskott"\
               + "_fish_layer0_15_standard_64x64_shuffled.npy"
  
          X = 1. - load(path)
  
          view_converter = dense_design_matrix.DefaultViewConverter((64,64,1))
  
          super(Wiskott,self).__init__(X = X, view_converter = view_converter)
  
          assert not N.any(N.isnan(self.X))
  
subject: change path