code: def _testVoxCeleb1Identification(self, dataset, data_samples):
      num_samples = 0
      for i, (waveform, sample_rate, speaker_id, file_id) in enumerate(
          dataset
      ):
          self.assertEqual(waveform, data_samples[i][0])
          assert sample_rate == data_samples[i][1]
          assert speaker_id == data_samples[i][2]
          assert file_id == data_samples[i][3]
          num_samples += 1
  
      assert num_samples == len(data_samples)
  
file_path: audio/test/torchaudio_unittest/datasets/voxceleb1_test.py
imports: import os
  from torchaudio.datasets import voxceleb1
  from torchaudio_unittest.common_utils import get_whitenoise, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling the TestVoxCeleb1Identification obj's underlying member method code with example usage: obj._testVoxCeleb1Identification(dataset, data_samples) without return types