code: def test_train_different_inputs(self):
      self.assertInvalidVectorTrain(
          algorithms.DiscreteHopfieldNetwork(check_limit=False),
          np.array([1, 0, 0, 1]),
          is_feature1d=False,
      )
  
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 8 for calling the DiscreteHopfieldNetworkTestCase obj's underlying member method code with example usage: obj.test_train_different_inputs() without return types