code: def duplicate_doc_file(
      doc_file: Union[str, os.PathLike],
      old_model_patterns: ModelPatterns,
      new_model_patterns: ModelPatterns,
      dest_file: Optional[Union[str, os.PathLike]] = None,
      frameworks: Optional[List[str]] = None,
  ):
      """
      Duplicate a documentation file and adapts it for a new model.
  
      Args:
          module_file (`str` or `os.PathLike`): Path to the doc file to duplicate.
          old_model_patterns (`ModelPatterns`): The patterns for the old model.
          new_model_patterns (`ModelPatterns`): The patterns for the new model.
          dest_file (`str` or `os.PathLike`, *optional*): Path to the new doc file.
              Will default to the a file named `{new_model_patterns.model_type}.md` in the same folder as `module_file`.
          frameworks (`List[str]`, *optional*):
              If passed, will only keep the model classes corresponding to this list of frameworks in the new doc file.
      """
      with open(doc_file, "r", encoding="utf-8") as f:
          content = f.read()
  
      content = re.sub(
          r"<!--\s*Copyright (\d+)\s",
          f"<!--Copyright {CURRENT_YEAR} ",
          content,
      )
      if frameworks is None:
          frameworks = get_default_frameworks()
      if dest_file is None:
          dest_file = (
              Path(doc_file).parent
              / f"{new_model_patterns.model_type}.md"
          )
  
      # Parse the doc file in blocks. One block per section/header
      lines = content.split("\n")
      blocks = []
      current_block = []
  
      for line in lines:
          if line.startswith("#"):
              blocks.append("\n".join(current_block))
              current_block = [line]
          else:
              current_block.append(line)
      blocks.append("\n".join(current_block))
  
      new_blocks = []
      in_classes = False
      for block in blocks:
          # Copyright
          if not block.startswith("#"):
              new_blocks.append(block)
          # Main title
          elif re.search(r"^#\s+\S+", block) is not None:
              new_blocks.append(f"# {new_model_patterns.model_name}\n")
          # The config starts the part of the doc with the classes.
          elif (
              not in_classes
              and old_model_patterns.config_class
              in block.split("\n")[0]
          ):
              in_classes = True
              new_blocks.append(
                  DOC_OVERVIEW_TEMPLATE.format(
                      model_name=new_model_patterns.model_name
                  )
              )
              new_block, _ = replace_model_patterns(
                  block, old_model_patterns, new_model_patterns
              )
              new_blocks.append(new_block)
          # In classes
          elif in_classes:
              in_classes = True
              block_title = block.split("\n")[0]
              block_class = re.search(
                  r"^#+\s+(\S.*)$", block_title
              ).groups()[0]
              new_block, _ = replace_model_patterns(
                  block, old_model_patterns, new_model_patterns
              )
  
              if "Tokenizer" in block_class:
                  # We only add the tokenizer if necessary
                  if (
                      old_model_patterns.tokenizer_class
                      != new_model_patterns.tokenizer_class
                  ):
                      new_blocks.append(new_block)
              elif "ImageProcessor" in block_class:
                  # We only add the image processor if necessary
                  if (
                      old_model_patterns.image_processor_class
                      != new_model_patterns.image_processor_class
                  ):
                      new_blocks.append(new_block)
              elif "FeatureExtractor" in block_class:
                  # We only add the feature extractor if necessary
                  if (
                      old_model_patterns.feature_extractor_class
                      != new_model_patterns.feature_extractor_class
                  ):
                      new_blocks.append(new_block)
              elif "Processor" in block_class:
                  # We only add the processor if necessary
                  if (
                      old_model_patterns.processor_class
                      != new_model_patterns.processor_class
                  ):
                      new_blocks.append(new_block)
              elif block_class.startswith("Flax"):
                  # We only add Flax models if in the selected frameworks
                  if "flax" in frameworks:
                      new_blocks.append(new_block)
              elif block_class.startswith("TF"):
                  # We only add TF models if in the selected frameworks
                  if "tf" in frameworks:
                      new_blocks.append(new_block)
              elif len(block_class.split(" ")) == 1:
                  # We only add PyTorch models if in the selected frameworks
                  if "pt" in frameworks:
                      new_blocks.append(new_block)
              else:
                  new_blocks.append(new_block)
  
      with open(dest_file, "w", encoding="utf-8") as f:
          f.write("\n".join(new_blocks))
  
imports: import difflib
  import json
  import os
  import re
  from argparse import ArgumentParser, Namespace
  from dataclasses import dataclass
  from datetime import date
  from itertools import chain
  from pathlib import Path
  from typing import Any, Callable, Dict, List, Optional, Pattern, Tuple, Union
  import yaml
  from ..models import auto
  from ..models.auto.configuration_auto import model_type_to_module_name
  from ..utils import is_flax_available, is_tf_available, is_torch_available, logging
  from .None import BaseTransformersCLICommand
label_desc: Use image node_id 22 for calling a global function with example usage: duplicate_doc_file(doc_file, old_model_patterns, new_model_patterns, dest_file, frameworks) without return types