code: def audio_files_with_metadata_that_misses_one_audio(
      tmp_path, audio_file
  ):
      audio_filename = tmp_path / "audio_file.wav"
      shutil.copyfile(audio_file, audio_filename)
      audio_filename2 = tmp_path / "audio_file2.wav"
      shutil.copyfile(audio_file, audio_filename2)
      audio_metadata_filename = tmp_path / "metadata.jsonl"
      audio_metadata = textwrap.dedent(
          """\
          {"file_name": "audio_file.wav", "text": "Audio transcription"}
          """
      )
      with open(audio_metadata_filename, "w", encoding="utf-8") as f:
          f.write(audio_metadata)
      return (
          str(audio_filename),
          str(audio_filename2),
          str(audio_metadata_filename),
      )
  
imports: import shutil
  import textwrap
  import librosa
  import numpy
  import pytest
  import soundfile
  from datasets import Audio, ClassLabel, Features, Value
  from datasets.data_files import DataFilesDict, get_data_patterns
  from datasets.download.streaming_download_manager import StreamingDownloadManager
  from datasets.packaged_modules.audiofolder.audiofolder import AudioFolder
  from ..utils import require_sndfile
label_desc: Use image node_id 5 for calling a global function with example usage: audio_files_with_metadata_that_misses_one_audio(tmp_path, audio_file) and returns: str,  str,  str