code: def process_config(cfg: OmegaConf):
      if "name" not in cfg or cfg.name is None:
          raise ValueError(
              "`cfg.name` must be provided to save a model checkpoint"
          )
  
      if "checkpoint_paths" not in cfg or cfg.checkpoint_paths is None:
          raise ValueError(
              "`cfg.checkpoint_paths` must be provided as a list of one or more str paths to "
              "pytorch lightning checkpoints"
          )
  
      save_ckpt_only = False
  
      with open_dict(cfg):
          name_prefix = cfg.name
          checkpoint_paths = cfg.pop("checkpoint_paths")
  
          if "checkpoint_dir" in cfg:
              checkpoint_dir = cfg.pop("checkpoint_dir")
          else:
              checkpoint_dir = None
  
          if "save_ckpt_only" in cfg:
              save_ckpt_only = cfg.pop("save_ckpt_only")
  
      if type(checkpoint_paths) not in (list, tuple):
          checkpoint_paths = (
              str(checkpoint_paths).replace("[", "").replace("]", "")
          )
          checkpoint_paths = checkpoint_paths.split(",")
          checkpoint_paths = [
              ckpt_path.strip() for ckpt_path in checkpoint_paths
          ]
  
      if checkpoint_dir is not None:
          checkpoint_paths = [
              os.path.join(checkpoint_dir, path)
              for path in checkpoint_paths
          ]
  
      return name_prefix, checkpoint_paths, save_ckpt_only
  
file_path: NeMo/scripts/checkpoint_averaging/average_model_checkpoints.py
imports: import os
  import pytorch_lightning
  import torch
  from omegaconf import OmegaConf, open_dict
  from nemo.collections.asr.models import EncDecCTCModelBPE
  from nemo.core.config import hydra_runner
  from nemo.utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: process_config(cfg) and returns: name_prefix,  checkpoint_paths,  save_ckpt_only