code: def tearDown(self):
      super(_DistributingCloudTunerIntegrationTestBase, self).tearDown()
  
      # Delete the study used in the test, if present
      if self._study_id:
          service = vizier_client.create_or_load_study(
              _PROJECT_ID, _REGION, self._study_id, None
          )
          service.delete_study()
  
      tf.keras.backend.clear_session()
  
      # Delete log files, saved_models and other training assets
      self._delete_dir(_REMOTE_DIR)
  
imports: import contextlib
  import io
  import os
  import re
  import keras_tuner
  import tensorflow
  from tensorflow import keras
  from tensorflow_cloud.tuner import vizier_client
  from tensorflow_cloud.tuner.tuner import DistributingCloudTuner
label_desc: Use image node_id 5 for calling the _DistributingCloudTunerIntegrationTestBase obj's underlying member method code with example usage: obj.tearDown() without return types