code: def client_config_function(config_params):
      num_clients = config_params["num_clients"]
      dtensor_client_id = config_params["client_id"]
      dtensor_jobs = config_params["worker_jobs"]
      num_devices = config_params["num_devices"]
  
      # pylint: disable=protected-access
      if num_clients != 0:
          os.environ[d_config._DT_CLIENT_ID] = f"{dtensor_client_id}"
          os.environ[d_config._DT_JOB_NAME] = "worker"
          os.environ[d_config._DT_JOBS] = ",".join(dtensor_jobs)
      # pylint: enable=protected-access
  
      if config.list_physical_devices("GPU"):
          device_type = "GPU"
      elif test_util.is_tpu_present():
          device_type = "TPU"
      else:
          device_type = "CPU"
  
      # reset_logical_devices
      test_util.reset_context()
      if device_type != "TPU":
          # Configure virtual devices. This does not initialize the TensorFlow
          # context.
          test_util.reset_logical_devices(device_type, num_devices)
      accelerator_util.initialize_accelerator_system(
          device_type, enable_coordination_service=True
      )
  
      # Validates the correct number of devices are created.
      logical_devices = test_util.list_local_logical_devices(
          device_type
      )
      assert len(logical_devices) == num_devices, (
          logical_devices,
          f"Test is mis-configured: expecting {num_devices} logical_devices.",
      )
  
imports: import os
  from absl import flags
  import numpy
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import d_variable
  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.eager import backprop
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling a global function with example usage: client_config_function(config_params) without return types