code: def test_convert_study_config_multi_float(self):
      hps = hp_module.HyperParameters()
      hps.Float("theta", min_value=0.0, max_value=1.57)
      hps.Float("r", min_value=0.0, max_value=1.0)
      study_config = utils.make_study_config(
          objective="accuracy", hyperparams=hps
      )
      self._assert_study_config_equal(
          study_config, STUDY_CONFIG_MULTI_FLOAT
      )
  
      actual_hps = utils.convert_study_config_to_hps(study_config)
      self._assert_hps_equal(actual_hps, hps)
  
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 5 for calling the CloudTunerUtilsTest obj's underlying member method code with example usage: obj.test_convert_study_config_multi_float() without return types