code: def test_invalid_attrs(self):
      with self.assertRaisesRegexp(ValueError, "Feature grid"):
          # Invalid feature grid shape
          algorithms.SOFM(n_inputs=2, n_outputs=4, features_grid=(2, 3))
  
      with self.assertRaisesRegexp(
          ValueError, "n_outputs, features_grid"
      ):
          algorithms.SOFM(n_inputs=2)
  
      with self.assertRaisesRegexp(
          ValueError, "more than 2 dimensions"
      ):
          sofm = algorithms.SOFM(
              n_inputs=2, n_outputs=3, weight=self.weight
          )
          sofm.train(np.zeros((10, 2, 1)))
  
      with self.assertRaisesRegexp(
          ValueError, "Only 2D inputs are allowed"
      ):
          sofm = algorithms.SOFM(
              n_inputs=2, n_outputs=3, weight=self.weight
          )
          sofm.predict(np.zeros((10, 2, 1)))
  
      with self.assertRaisesRegexp(
          ValueError, "one or two dimensional"
      ):
          algorithms.SOFM(
              n_inputs=2,
              features_grid=(3, 1, 1),
              grid_type="hexagon",
          )
  
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 2 for calling the SOFMTestCase obj's underlying member method code with example usage: obj.test_invalid_attrs() without return types