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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def classifierPredict(testVector, storedVectors):
 """ Return overlap of the testVector with stored representations for each object. """

  numClasses = storedVectors.shape[0]
  output = np.zeros((numClasses,))

  for i in range(numClasses):
    output[i] = np.sum(np.minimum(testVector, storedVectors[i, :]))
  return output