code: def add_suggestion(
      msg: str,
      *,
      word: str,
      possibilities: Collection[str],
      close_match_hint: Callable[
          [str], str
      ] = lambda close_match: f"Did you mean '{close_match}'?",
      alternative_hint: Callable[
          [Sequence[str]], str
      ] = lambda possibilities: f"Can be {sequence_to_str(possibilities, separate_last='or ')}.",
  ) -> str:
      if not isinstance(possibilities, collections.abc.Sequence):
          possibilities = sorted(possibilities)
      suggestions = difflib.get_close_matches(word, possibilities, 1)
      hint = (
          close_match_hint(suggestions[0])
          if suggestions
          else alternative_hint(possibilities)
      )
      if not hint:
          return msg
  
      return f"{msg.strip()} {hint}"
  
file_path: vision/torchvision/prototype/utils/_internal.py
imports: import collections.abc
  import difflib
  import io
  import mmap
  import platform
  from typing import BinaryIO, Callable, Collection, Sequence, TypeVar, Union
  import numpy
  import torch
  from torchvision._utils import sequence_to_str
label_desc: Use image node_id 1 for calling a global function with example usage: add_suggestion(msg) and returns: msg, str, hint, msg