code: def local_devices(
      device_type: str, for_client_id: Optional[int] = None
  ) -> List[tf_device.DeviceSpec]:
      """Returns a list of device specs configured on this client."""
      if device_type.upper() not in ["CPU", "GPU", "TPU"]:
          raise ValueError(
              f"Device type {device_type} is not CPU, GPU, or TPU."
          )
  
      if for_client_id is None:
          for_client_id = client_id()
  
      # Return fully qualified device specs, sorted by increasing device index.
      return [
          tf_device.DeviceSpec(  # pylint: disable=g-complex-comprehension
              job=job_name(),
              replica=0,  # replica is deprecated and mostly hard-coded now.
              task=for_client_id,
              device_type=device_type,
              device_index=i,
          )
          for i in range(num_local_devices(device_type))
      ]
  
imports: import os
  from typing import List, Optional, Union
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: local_devices(device_type, for_client_id) and returns: unknown