code: def maybe_save_preprocessors(
      src_name_or_path: Union[str, Path],
      dest_dir: Union[str, Path],
      src_subfolder: str = "",
      trust_remote_code: bool = False,
  ):
      """
      Saves the tokenizer, the processor and the feature extractor when found in `src_dir` in `dest_dir`.
  
      Args:
          src_dir (`Union[str, Path]`):
              The source directory from which to copy the files.
          dest_dir (`Union[str, Path]`):
              The destination directory to copy the files to.
          src_subfolder (`str`, defaults to `""`):
              In case the preprocessor files are located inside a subfolder of the model directory / repo on the Hugging
              Face Hub, you can specify the subfolder name here.
          trust_remote_code (`bool`, defaults to `False`):
              Whether to allow to save preprocessors that is allowed to run arbitrary code. Use this option at your own risk.
      """
      if not isinstance(dest_dir, Path):
          dest_dir = Path(dest_dir)
  
      dest_dir.mkdir(exist_ok=True)
      for preprocessor in maybe_load_preprocessors(
          src_name_or_path,
          subfolder=src_subfolder,
          trust_remote_code=trust_remote_code,
      ):
          preprocessor.save_pretrained(dest_dir)
  
imports: import logging
  from pathlib import Path
  from typing import List, Union
  from transformers import AutoFeatureExtractor, AutoProcessor, AutoTokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: maybe_save_preprocessors(src_name_or_path, dest_dir, src_subfolder, trust_remote_code) without return types