code: def wrap_config(config: PretrainedConfig):
      """
      Makes required changes to a model config class to allow usage with adapters.
  
      Args:
          config (PretrainedConfig): The config to be wrapped.
  
      Returns:
          PretrainedConfig: The same config object, with modifications applied.
      """
  
      # Make sure each class has its own attribute_map
      type(config).attribute_map = copy.deepcopy(
          type(config).attribute_map
      )
      # Ensure missing keys are in class
      if config.model_type in CONFIG_CLASS_KEYS_MAPPING:
          for key, value in CONFIG_CLASS_KEYS_MAPPING[
              config.model_type
          ].items():
              if key not in config.attribute_map:
                  config.attribute_map[key] = value
  
imports: import copy
  from typing import Optional
  from transformers import PreTrainedModel
  from transformers.configuration_utils import PretrainedConfig
  from ..configuration import ModelAdaptersConfig
label_desc: Use image node_id 2 for calling a global function with example usage: wrap_config(config) without return types