code: def interpret_dc_type(field_type):
      if isinstance(field_type, str):
          raise RuntimeError("field should be a type")
  
      if field_type == Any:
          return str
  
      typestring = str(field_type)
      if re.match(
          r"(typing.|^)Union\[(.*), NoneType\]$", typestring
      ) or typestring.startswith("typing.Optional"):
          return field_type.__args__[0]
      return field_type
  
imports: import ast
  import inspect
  import logging
  import os
  import re
  from argparse import ArgumentError, ArgumentParser, Namespace
  from dataclasses import _MISSING_TYPE, MISSING, is_dataclass
  from enum import Enum
  from typing import Any, Dict, List, Optional, Tuple, Type
  from fairseq.dataclass import FairseqDataclass
  from fairseq.dataclass.configs import FairseqConfig
  from hydra.core.global_hydra import GlobalHydra
  from hydra.experimental import compose, initialize
  from omegaconf import DictConfig, OmegaConf, open_dict, _utils
label_desc: Use image node_id 2 for calling a global function with example usage: interpret_dc_type(field_type) and returns: field_type, str, field_type