code: def model_type_to_module_name(key):
      """Converts a config key to the corresponding module."""
      # Special treatment
      if key in SPECIAL_MODEL_TYPE_TO_MODULE_NAME:
          return SPECIAL_MODEL_TYPE_TO_MODULE_NAME[key]
  
      return key.replace("-", "_")
  
imports: import importlib
  import re
  from collections import OrderedDict
  from typing import List, Union
  from fastNLP.transformers.torch.configuration_utils import PretrainedConfig
  from fastNLP.transformers.torch.file_utils import CONFIG_NAME
  from fastNLP.core.log import logger
label_desc: Use image node_id 1 for calling a global function with example usage: model_type_to_module_name(key) and returns: key, SPECIAL_MODEL_TYPE_TO_MODULE_NAME