code: def test_predict_different_inputs(self):
      sofmnet = algorithms.SOFM(n_inputs=1, n_outputs=2, verbose=False)
      target = np.array(
          [
              [1, 0],
              [1, 0],
              [0, 1],
              [1, 0],
              [1, 0],
              [1, 0],
              [1, 0],
              [0, 1],
              [0, 1],
              [0, 1],
              [0, 1],
              [0, 1],
          ]
      )
  
      sofmnet.train(X.ravel())
      self.assertInvalidVectorPred(
          sofmnet, X.ravel(), target, decimal=2
      )
  
imports: import math
  import numpy
  from neupy import algorithms
  from neupy.exceptions import WeightInitializationError
  from neupy.algorithms.competitive import sofm
  from neupy.algorithms.competitive.neighbours import gaussian_df
  from base import BaseTestCase
label_desc: Use image node_id 11 for calling the SOFMTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types