code: def test_convert_hyperparams_to_hparams_float(
      self,
      name,
      min_value,
      max_value,
      step,
      expected_domain,
      expected_value,
  ):
      hps = hp_module.HyperParameters()
      hps.Float(
          name, min_value=min_value, max_value=max_value, step=step
      )
      hparams = utils.convert_hyperparams_to_hparams(hps)
      expected_hparams = {
          hparams_api.HParam(name, expected_domain): expected_value,
      }
      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 13 for calling the CloudTunerUtilsTest obj's underlying member method code with example usage: obj.test_convert_hyperparams_to_hparams_float(name, min_value, max_value, step, expected_domain, expected_value) without return types