code: def test_bam_argument_in_predict_method(self):
      dbnet = algorithms.DiscreteBAM(mode="async", n_times=1)
      dbnet.train(self.data, self.hints)
  
      self.assertTrue(np.any(one != dbnet.predict_output(half_one)[0]))
      np.testing.assert_array_almost_equal(
          one, dbnet.predict_output(half_one, n_times=100)[0]
      )
  
file_path: neupy/tests/algorithms/memory/test_bam.py
imports: import pickle
  import numpy
  from neupy import algorithms
  from neupy.exceptions import NotTrained
  from algorithms.memory.data import zero, one, half_one, half_zero
  from base import BaseTestCase
  from helpers import vectors_for_testing
label_desc: Use image node_id 7 for calling the BAMTestCase obj's underlying member method code with example usage: obj.test_bam_argument_in_predict_method() without return types