code: def test_convert_completed_vizier_trial_to_keras_trial(self):
      hps = hp_module.HyperParameters()
      hps.Choice("learning_rate", [1e-4, 1e-3, 1e-2])
      trial = utils.convert_completed_vizier_trial_to_keras_trial(
          COMPLETED_OPTIMIZER_TRIAL, hps
      )
      self.assertEqual(trial.trial_id, "trial_1")
      self.assertEqual(trial.score, 0.9)
      self.assertEqual(trial.best_step, 1)
      self.assertEqual(trial.status, trial_module.TrialStatus.COMPLETED)
      self.assertEqual(
          trial.hyperparameters.values, {"learning_rate": 0.0001}
      )
  
imports: import copy
  from absl.testing import parameterized
  from keras_tuner.engine import hyperparameters
  from keras_tuner.engine import oracle
  from keras_tuner.engine import trial
  import tensorflow
  from tensorboard.plugins.hparams import api
  from tensorflow_cloud.tuner.tuner import utils
label_desc: Use image node_id 10 for calling the CloudTunerUtilsTest obj's underlying member method code with example usage: obj.test_convert_completed_vizier_trial_to_keras_trial() without return types