code: def _save_sample(
      file_path, speaker_id, chapter_id, utterance_id, sample_rate, seed
  ):
      filename = f"{speaker_id}-{chapter_id}-{utterance_id:04d}.flac"
      path = os.path.join(file_path, filename)
      data = get_whitenoise(
          sample_rate=sample_rate,
          duration=0.01,
          n_channels=1,
          dtype="float32",
          seed=seed,
      )
      transcript = " ".join(
          [_NUMBERS[x] for x in [speaker_id, chapter_id, utterance_id]]
      )
      save_wav(path, data, sample_rate)
      sample = (
          data,
          sample_rate,
          transcript,
          speaker_id,
          chapter_id,
          utterance_id,
      )
      return sample
  
file_path: audio/test/torchaudio_unittest/datasets/librilightlimited_test.py
imports: import os
  from torchaudio.datasets import librilight_limited
  from torchaudio_unittest.common_utils import get_whitenoise, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 1 for calling a global function with example usage: _save_sample(file_path, speaker_id, chapter_id, utterance_id, sample_rate, seed) and returns: sample