code: def test_tf_config(self):
      cluster_spec = multi_worker_test_base.create_cluster_spec(
          has_chief=True, num_workers=2
      )
      runner = multi_process_runner.MultiProcessPoolRunner(cluster_spec)
      result = runner.run(fn_that_adds_task_type_in_return_data)
  
      job_count_dict = {"worker": 2, "chief": 1}
      for data in result:
          job_count_dict[data] -= 1
  
      self.assertEqual(job_count_dict["worker"], 0)
      self.assertEqual(job_count_dict["chief"], 0)
  
imports: import ctypes
  import json
  import os
  import sys
  import threading
  import time
  import unittest
  from absl import logging
  from absl.testing import parameterized
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
label_desc: Use image node_id 3 for calling the MultiProcessPoolRunnerTest obj's underlying member method code with example usage: obj.test_tf_config() without return types