code: def full_job_name(task_id: Optional[int] = None) -> str:
      """Returns the fully qualified TF job name for this or another task."""
      # If task_id is None, use this client's ID, which is equal to its task ID.
      if task_id is None:
          task_id = client_id()
      # In local runs and unit tests, there should be exactly one client running
      # on one TF task.
      if num_clients() == 1 and task_id != 0:
          raise ValueError(
              f"Unexpected task ID {task_id} in local runs"
          )
      return f"{job_name()}/replica:0/task:{task_id}"
  
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 7 for calling a global function with example usage: full_job_name(task_id) and returns: job_name, str, task_id