code: def test_get_suggestion(self, get_architecture, problem_type):
      # Return value (architectures) for the various trials.
      get_architecture.side_effect = [
          np.array([1, 2, 3, 4]),
          np.array([2, 3, 4, 1]),
          np.array([3, 4, 1, 2]),
          np.array([4, 1, 2, 3]),
          np.array([1, 1, 1, 1]),
          np.array([2, 2, 2, 2]),
          np.array([3, 3, 3, 3]),
          np.array([2, 3, 2, 3]),
          np.array([3, 4, 3, 4]),
      ]
      algorithm = harmonica.Harmonica(
          test_utils.create_spec(
              problem_type,
              blocks_to_use=[
                  "FIXED_CHANNEL_CONVOLUTION_16",
                  "FIXED_CHANNEL_CONVOLUTION_32",
                  "FIXED_CHANNEL_CONVOLUTION_64",
                  "CONVOLUTION_3X3",
              ],
              min_depth=4,
          ),
          num_random_samples=10,
          seed=73,
      )
  
      output_architecture, _ = algorithm.get_suggestion(
          _create_trials(), hp.HParams()
      )
      expected_output = [1, 1, 4, 2]
      if problem_type == phoenix_spec_pb2.PhoenixSpec.CNN:
          expected_output += [34]
      self.assertAllEqual(expected_output, output_architecture)
  
file_path: model_search/model_search/search/harmonica_test.py
imports: from absl.testing import parameterized
  import mock
  from model_search import hparam
  from model_search.metadata import trial
  from model_search.proto import phoenix_spec_pb2
  from model_search.search import harmonica
  from model_search.search import test_utils
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 6 for calling the HarmonicaTest obj's underlying member method code with example usage: obj.test_get_suggestion(get_architecture, problem_type) without return types