code: def get_worker_behavior_info(save_dir):
      """Infers worker behavior from the environment.
  
      Checks if TF_CONFIG environment variable is set
      and inferes cluster configuration and save_dir
      from it.
  
      Args:
        save_dir: Save directory given by the user.
  
      Returns:
        cluster_config: Inferred cluster configuration.
        save_dir: Inferred save directory.
      """
      if "TF_CONFIG" in os.environ:
          cluster_config = os.environ["TF_CONFIG"]
          cluster_config_dict = json.loads(cluster_config)
          if (
              "cluster" not in cluster_config_dict.keys()
              or "task" not in cluster_config_dict
              or len(cluster_config_dict["cluster"]) <= 1
          ):
              cluster_config = ""
          elif cluster_config_dict["task"]["type"] != "chief":
              save_dir = ""
      else:
          cluster_config = ""
  
      return cluster_config, save_dir
  
file_path: ddsp/ddsp/training/docker/task.py
imports: import json
  import os
  import subprocess
  from absl import app
  from absl import flags
label_desc: Use image node_id 1 for calling a global function with example usage: get_worker_behavior_info(save_dir) and returns: cluster_config,  save_dir