code: def test_sofm_1d_vector_input(self):
      sofm = algorithms.SOFM(
          n_inputs=2,
          n_outputs=3,
          weight=self.weight,
      )
      output = sofm.predict(X[0])
      self.assertEqual(output.shape, (1, 3))
  
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 SOFMTestCase obj's underlying member method code with example usage: obj.test_sofm_1d_vector_input() without return types