code: def test_sofm_angle_distance(self):
      sn = algorithms.SOFM(
          n_inputs=2,
          n_outputs=3,
          distance="cos",
          learning_radius=1,
          features_grid=(3, 1),
          weight=X[(0, 2, 4), :].T,
          verbose=False,
      )
      sn.train(X, epochs=3)
  
      answers = np.array(
          [
              [1.0, 0.0, 0.0],
              [1.0, 0.0, 0.0],
              [0.0, 1.0, 0.0],
              [0.0, 1.0, 0.0],
              [0.0, 0.0, 1.0],
              [0.0, 0.0, 1.0],
          ]
      )
      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 7 for calling the SOFMTestCase obj's underlying member method code with example usage: obj.test_sofm_angle_distance() without return types