code: def test_train_different_inputs(self):
      self.assertInvalidVectorTrain(
          algorithms.PNN(std=0.1, verbose=False),
          np.array([1, 2, 3]),
          np.array([1, 0, 1]),
      )
  
file_path: neupy/tests/algorithms/rbfn/test_pnn.py
imports: from __future__ import division
  import numpy
  from sklearn import datasets
  from sklearn import metrics
  from sklearn.model_selection import StratifiedKFold, train_test_split
  from neupy import algorithms
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
label_desc: Use image node_id 5 for calling the PNNTestCase obj's underlying member method code with example usage: obj.test_train_different_inputs() without return types