code: def create_worker(
      test_name, dispatcher_address, port=None, pipe=None
  ):
      worker = server_lib.WorkerServer(
          config=server_lib.WorkerConfig(
              port=port,
              dispatcher_address=dispatcher_address,
              protocol="grpc",
          )
      )
      worker.start()
      if pipe is None:
          # Worker is not within subprocess, so do not block.
          return worker, worker._address
      else:
          redirect_output(f"test-{test_name}-worker.log")
          pipe.send(worker._address)
          signal = (
              pipe.recv()
          )  # blocks until a 'stop' signal is received
          if signal == "stop":
              worker._stop()
              pipe.send("stopped")
          else:
              raise ValueError("Got unknown signal %s" % signal)
  
imports: import os
  from typing import Any, List, Mapping, Optional, Tuple
  from absl import logging
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import input_util
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import mesh_util
  from tensorflow.dtensor.python.tests import multi_client_test_util
  from tensorflow.dtensor.python.tests import test_backend_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.data.experimental.service import server_lib
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device_spec
  from tensorflow.python.framework import dtypes
  from tensorflow.python.lib.io import tf_record
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import gen_parsing_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.ops import parsing_config
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling a global function with example usage: create_worker(test_name, dispatcher_address, port, pipe) and returns: worker,  worker