code: def test_start_in_process_as(self):
      def fn():
          for i in range(5):
              logging.info(
                  "%s-%d, i: %d",
                  multi_worker_test_base.get_task_type(),
                  self._worker_idx(),
                  i,
              )
              time.sleep(1)
  
      mpr = multi_process_runner.MultiProcessRunner(
          fn,
          multi_worker_test_base.create_cluster_spec(
              has_chief=True, num_workers=1
          ),
          return_output=True,
      )
  
      def eval_func():
          time.sleep(1)
          mpr.start_single_process(task_type="evaluator", task_id=0)
  
      eval_thread = threading.Thread(target=eval_func)
      eval_thread.start()
      mpr.start_in_process_as(as_task_type="chief", as_task_id=0)
      eval_thread.join()
      list_to_assert = mpr.join().stdout
      for job in ["worker", "evaluator"]:
          for iteration in range(5):
              self.assertTrue(
                  any(
                      "{}-0, i: {}".format(job, iteration) in line
                      for line in list_to_assert
                  )
              )
  
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 10 for calling the MultiProcessRunnerTest obj's underlying member method code with example usage: obj.test_start_in_process_as() without return types