code: def test_convert_hyperparams_to_hparams_choice(self):
      hps = hp_module.HyperParameters()
      hps.Choice("learning_rate", [1e-4, 1e-3, 1e-2])
      hparams = utils.convert_hyperparams_to_hparams(hps)
      expected_hparams = {
          hparams_api.HParam(
              "learning_rate", hparams_api.Discrete([1e-4, 1e-3, 1e-2])
          ): 1e-4,
      }
      self.assertEqual(repr(hparams), repr(expected_hparams))
  
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 11 for calling the CloudTunerUtilsTest obj's underlying member method code with example usage: obj.test_convert_hyperparams_to_hparams_choice() without return types