code: def test_predict_different_inputs(self):
      knet = algorithms.Kohonen(
          n_inputs=1,
          n_outputs=2,
          step=0.5,
          verbose=False,
      )
  
      data = np.array([[1, 1, 1]]).T
      target = np.array(
          [
              [1, 0],
              [1, 0],
              [1, 0],
          ]
      )
  
      knet.train(data, epochs=100)
      self.assertInvalidVectorPred(
          knet, data.ravel(), target, decimal=2
      )
  
file_path: neupy/tests/algorithms/associative/test_kohonen.py
imports: import numpy
  from neupy import algorithms
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the KohonenTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types