code: def _distance_between_words(preds_word: str, target_word: str) -> int:
      """Distance measure used for substitutions/identity operation.
  
      Code adapted from https://github.com/rwth-i6/ExtendedEditDistance/blob/master/EED.py.
  
      Args:
          preds_word: hypothesis word string
          target_word: reference word string
  
      Return:
          0 for match, 1 for no match
  
      """
      return int(preds_word != target_word)
  
file_path: torchmetrics/src/torchmetrics/functional/text/eed.py
imports: import re
  import unicodedata
  from math import inf
  from typing import List, Optional, Sequence, Tuple, Union
  from torch import Tensor, stack, tensor
  from typing_extensions import Literal
  from torchmetrics.functional.text.helper import _validate_inputs
label_desc: Use image node_id 1 for calling a global function with example usage: _distance_between_words(preds_word, target_word) and returns: int