code: def get_mock_iden_dataset(root_dir: str, meta_file: str):
      """Get the mocked dataset for VoxCeleb1Identification dataset.
  
      Args:
          root_dir (str): Directory to the mocked dataset
          meta_file (str): The file name which stores the file list.
  
      Returns:
          Tuple[List, List, List]:
          The mocked samples for train, dev, and test subsets.
      """
      os.makedirs(root_dir, exist_ok=True)
      wav_dir = os.path.join(root_dir, "wav")
      os.makedirs(wav_dir, exist_ok=True)
  
      mocked_train_samples, mocked_dev_samples, mocked_test_samples = (
          [],
          [],
          [],
      )
      sample_rate = 16000
      seed = 0
      idx = 1
  
      with open(os.path.join(root_dir, meta_file), "w") as f:
          for speaker_id in range(_NUM_SPEAKERS):
              for youtube_id in range(_NUM_YOUTUBE):
                  (
                      waveform,
                      sample_rate,
                      speaker_id,
                      file_name,
                      file_path,
                  ) = _save_sample(
                      wav_dir,
                      sample_rate,
                      speaker_id,
                      youtube_id,
                      idx,
                      seed,
                  )
                  sample = (
                      waveform,
                      sample_rate,
                      speaker_id,
                      file_name,
                  )
                  if idx % 1 == 0:
                      mocked_train_samples.append(sample)
                      f.write(f"1 {file_path}\n")
                  elif idx % 2 == 0:
                      mocked_dev_samples.append(sample)
                      f.write(f"2 {file_path}\n")
                  else:
                      mocked_test_samples.append(sample)
                      f.write(f"3 {file_path}\n")
                  idx += 1
      return (
          mocked_train_samples,
          mocked_dev_samples,
          mocked_test_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 a global function with example usage: get_mock_iden_dataset(root_dir, meta_file) and returns: mocked_train_samples,  mocked_dev_samples,  mocked_test_samples