code: def checkMatch(input, prediction, sparse=True, verbosity=0):
    
  
    if sparse:
      activeElementsInInput = set(input)
      activeElementsInPrediction = set(prediction)
  
    else:
      activeElementsInInput = set(input.nonzero()[0])
      activeElementsInPrediction = set(prediction.nonzero()[0])
  
    totalActiveInPrediction = len(activeElementsInPrediction)
    totalActiveInInput     = len(activeElementsInInput)
  
    foundInInput = len(activeElementsInPrediction.intersection(activeElementsInInput))
    missingFromInput = len(activeElementsInPrediction.difference(activeElementsInInput))
    missingFromPrediction = len(activeElementsInInput.difference(activeElementsInPrediction))
  
    if verbosity >= 1:
      print "preds. found in input:", foundInInput, "out of", totalActiveInPrediction,
      print "; preds. missing from input:", missingFromInput, "out of", \
                totalActiveInPrediction,
      print "; unexpected active in input:", missingFromPrediction, "out of", \
                totalActiveInInput
  
    return (foundInInput, totalActiveInInput, missingFromInput,
            totalActiveInPrediction)
docs: Compares the actual input with the predicted input and returns results
  
    Parameters:
    -----------------------------------------------
    input:          The actual input
    prediction:     the predicted input
    verbosity:        If > 0, print debugging messages
    sparse:         If true, they are in sparse form (list of
                       active indices)
  
    retval         (foundInInput, totalActiveInInput, missingFromInput,
                              totalActiveInPrediction)
      foundInInput:       The number of predicted active elements that were
                          found in the actual input
      totalActiveInInput: The total number of active elements in the input.
      missingFromInput:   The number of predicted active elements that were not
                          found in the actual input
      totalActiveInPrediction:  The total number of active elements in the prediction