code: def _test_librispeech(self, dataset):
      num_samples = 0
      for i, (
          data,
          sample_rate,
          transcript,
          speaker_id,
          chapter_id,
          utterance_id,
      ) in enumerate(dataset):
          self.assertEqual(
              data, self.samples[i][0], atol=5e-5, rtol=1e-8
          )
          assert sample_rate == self.samples[i][1]
          assert transcript == self.samples[i][2]
          assert speaker_id == self.samples[i][3]
          assert chapter_id == self.samples[i][4]
          assert utterance_id == self.samples[i][5]
          num_samples += 1
  
      assert num_samples == len(self.samples)
      self.librispeech_cls._ext_audio = ".flac"
  
file_path: audio/test/torchaudio_unittest/datasets/librispeech_test_impl.py
imports: import os
  from pathlib import Path
  from torchaudio.datasets import librispeech
  from torchaudio_unittest.common_utils import get_whitenoise, normalize_wav, save_wav, TempDirMixin
label_desc: Use image node_id 3 for calling the LibriSpeechTestMixin obj's underlying member method code with example usage: obj._test_librispeech(dataset) without return types