code: def test_sofm_init_during_the_training(self):
      sofm = algorithms.SOFM(
          n_inputs=4,
          n_outputs=7,
          weight="sample_from_data",
      )
  
      X = np.random.random((10, 4))
      self.assertTrue(callable(sofm.weight))
  
      sofm.train(X, epochs=1)
      self.assertFalse(callable(sofm.weight))
  
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 3 for calling the SOFMWeightInitializationTestCase obj's underlying member method code with example usage: obj.test_sofm_init_during_the_training() without return types