code: def test_iterative_updates_wrong_feature_shapes_exception(self):
      dhnet = algorithms.DiscreteHopfieldNetwork()
      dhnet.train(np.ones((1, 10)))
  
      with self.assertRaisesRegexp(
          ValueError, "invalid number of features"
      ):
          dhnet.train(np.ones((1, 7)))
  
file_path: neupy/tests/algorithms/memory/test_discrete_hn.py
imports: import numpy
  from neupy import algorithms
  from algorithms.memory.data import zero, one, two, half_one, half_zero, half_two
  from base import BaseTestCase
label_desc: Use image node_id 11 for calling the DiscreteHopfieldNetworkTestCase obj's underlying member method code with example usage: obj.test_iterative_updates_wrong_feature_shapes_exception() without return types