docstr: Test case to simulate multiple parallel tuning workers.
docstr_tok: ["Test","case","to","simulate","multiple","parallel","tuning","workers","."]
code: def testCloudTunerInProcessDistributedTuning(self):
      """Test case to simulate multiple parallel tuning workers."""
      study_id = "{}_dist".format(_STUDY_ID_BASE)
      self._study_id = study_id
  
      with multiprocessing.Pool(processes=_NUM_PARALLEL_TRIALS) as pool:
          results = pool.map(
              _dist_search_fn_wrapper,
              [
                  (self.get_temp_dir(), study_id, "tuner{}".format(i))
                  for i in range(_NUM_PARALLEL_TRIALS)
              ],
          )
  
      self._assert_results_summary(results[0].results_summary)
  
imports: import contextlib
  import io
  import multiprocessing
  import os
  import re
  import time
  import keras_tuner
  import tensorflow
  from tensorflow import keras
  from tensorflow_cloud import CloudTuner
  from tensorflow_cloud.tuner import vizier_client
label_desc: Use image node_id 1 for calling the CloudTunerInDistributedIntegrationTest obj's underlying member method code with example usage: obj.testCloudTunerInProcessDistributedTuning() without return types