code: def test_sofm(self):
      sn = algorithms.SOFM(
          n_inputs=2,
          n_outputs=3,
          weight=X[(2, 0, 4), :].T,
          learning_radius=0,
          features_grid=(3,),
          shuffle_data=True,
          verbose=False,
          reduce_radius_after=None,
          reduce_step_after=None,
          reduce_std_after=None,
      )
      sn.train(X, epochs=100)
  
      np.testing.assert_array_almost_equal(sn.predict(X), answers)
  
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 4 for calling the SOFMTestCase obj's underlying member method code with example usage: obj.test_sofm() without return types