code: def _test_ljspeech(self, dataset):
      n_ite = 0
      for i, (
          waveform,
          sample_rate,
          transcript,
          normalized_transcript,
      ) in enumerate(dataset):
          expected_transcript = self._transcripts[i]
          expected_normalized_transcript = self._normalized_transcript[
              i
          ]
          expected_data = self.data[i]
          self.assertEqual(
              expected_data, waveform, atol=5e-5, rtol=1e-8
          )
          assert sample_rate == sample_rate
          assert transcript == expected_transcript
          assert normalized_transcript == expected_normalized_transcript
          n_ite += 1
      assert n_ite == len(self.data)
  
file_path: audio/test/torchaudio_unittest/datasets/ljspeech_test.py
imports: import csv
  import os
  from pathlib import Path
  from torchaudio.datasets import ljspeech
  from torchaudio_unittest.common_utils import get_whitenoise, normalize_wav, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling the TestLJSpeech obj's underlying member method code with example usage: obj._test_ljspeech(dataset) without return types