code: def test_predict_different_inputs(self):
      data = np.array([[1, 0, 0, 1]])
  
      dhnet = algorithms.DiscreteHopfieldNetwork()
      dhnet.train(data)
  
      self.assertInvalidVectorPred(
          dhnet,
          np.array([1, 0, 0, 1]),
          data,
          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 9 for calling the DiscreteHopfieldNetworkTestCase obj's underlying member method code with example usage: obj.test_predict_different_inputs() without return types