code: def setup_client(
      client_id: int,
      test_name: str,
      env: Mapping[str, str],
      num_local_devices: int,
  ):
      """Set up a DTensor client for use in multi-client tests.
  
      Args:
        client_id: the index of the client.
        test_name: the name of the test under which this client is running, used To
          identify the log file artifact containing the test output.
        env: a dictionary of environment variables to update.
        num_local_devices: number of local devices to set up.
      """
      # Redirect client's stderr/stdout to undeclared outputs on sponge.
      redirect_output(f"test-{test_name}-process-{client_id}.log")
  
      # Update any specified environment variables.
      for var, val in env.items():
          os.environ[var] = val
  
      # Set up local devices.
      setup_local_devices(num_local_devices)
  
      # Set up DTensor cluster and enable collectives.
      accelerator_util.initialize_accelerator_system()
  
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 5 for calling a global function with example usage: setup_client(client_id, test_name, env, num_local_devices) without return types