code: def test_argument_in_predict_method(self):
      data = np.concatenate([zero, one, two], axis=0)
      dhnet = algorithms.DiscreteHopfieldNetwork(
          mode="async", n_times=1
      )
      dhnet.train(data)
  
      self.assertTrue(np.any(zero != dhnet.predict(half_zero)))
      np.testing.assert_array_almost_equal(
          zero, dhnet.predict(half_zero, n_times=100)
      )
  
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 7 for calling the DiscreteHopfieldNetworkTestCase obj's underlying member method code with example usage: obj.test_argument_in_predict_method() without return types