code: def preprocess_file_and_save_result(
      output_directory: str,
      filepath: str,
      all_files: Iterable,
      header_include_dirs: Iterable,
      stats: Dict[str, List],
      hip_clang_launch: bool,
      is_pytorch_extension: bool,
      clean_ctx: GeneratedFileCleaner,
      show_progress: bool,
  ) -> None:
      fin_path = os.path.abspath(
          os.path.join(output_directory, filepath)
      )
      hipify_result = HipifyResult(
          current_state=CurrentState.INITIALIZED, hipified_path=fin_path
      )
      HIPIFY_FINAL_RESULT[fin_path] = hipify_result
      result = preprocessor(
          output_directory,
          filepath,
          all_files,
          header_include_dirs,
          stats,
          hip_clang_launch,
          is_pytorch_extension,
          clean_ctx,
          show_progress,
      )
  
      # Show what happened
      if show_progress and "ignored" not in result.status:
          print(
              fin_path,
              "->",
              result.hipified_path,
              result.status,
              flush=True,
          )
  
      HIPIFY_FINAL_RESULT[fin_path] = result
  
imports: import argparse
  import fnmatch
  import re
  import shutil
  import sys
  import os
  from .None import constants
  from .cuda_to_hip_mappings import CUDA_TO_HIP_MAPPINGS
  from .cuda_to_hip_mappings import MATH_TRANSPILATIONS
  from typing import Dict, List, Iterator, Optional
  from collections.abc import Mapping, Iterable
  from enum import Enum
label_desc: Use image node_id 5 for calling a global function with example usage: preprocess_file_and_save_result(output_directory, filepath, all_files, header_include_dirs, stats, hip_clang_launch, is_pytorch_extension, clean_ctx, show_progress) without return types