code: def test_train_different_inputs(self):
      self.assertInvalidVectorTrain(
          algorithms.SOFM(n_inputs=1, n_outputs=1, verbose=False),
          X.ravel(),
      )
  
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 10 for calling the SOFMTestCase obj's underlying member method code with example usage: obj.test_train_different_inputs() without return types