code: def generate_checkpoint_path(config: PyTextConfig, identifier: str):
      dir_name = os.path.dirname(config.save_snapshot_path)
      return f"{dir_name}/checkpoint{DELIMITER}{identifier}"
  
imports: import io
  import logging
  import os
  from typing import Dict, Optional
  import torch
  from pytext.config import config_to_json, pytext_config_from_json, PyTextConfig
  from pytext.data import CommonMetadata
  from pytext.data.tensorizers import Tensorizer
  from pytext.models import Model
  from pytext.trainers.training_state import TrainingState
  from pytext.utils.file_io import PathManager
  from .pytext_checkpoint_management import get_checkpoint_manager
label_desc: Use image node_id 9 for calling a global function with example usage: generate_checkpoint_path(config, identifier) and returns: dir_name, str, DELIMITER, identifier