def METHOD_NAME(self, test_data_dir):
    manifest_path = os.path.abspath(
        os.path.join(test_data_dir, 'asr/tarred_an4/tarred_duplicate_audio_manifest.json')
    )
    # Test braceexpand loading
    tarpath = os.path.abspath(os.path.join(test_data_dir, 'asr/tarred_an4/audio_{0..1}.tar'))
    featurizer = WaveformFeaturizer(sample_rate=16000, int_values=False, augmentor=None)
    ds_braceexpand = TarredAudioToClassificationLabelDataset(
        audio_tar_filepaths=tarpath, manifest_filepath=manifest_path, labels=self.labels, featurizer=featurizer
    )
    assert len(ds_braceexpand) == 6
    count = 0
    for _ in ds_braceexpand:
        count += 1
    assert count == 6
    # Test loading via list
    tarpath = [os.path.abspath(os.path.join(test_data_dir, f'asr/tarred_an4/audio_{i}.tar')) for i in range(2)]
    ds_list_load = TarredAudioToClassificationLabelDataset(
        audio_tar_filepaths=tarpath, manifest_filepath=manifest_path, labels=self.labels, featurizer=featurizer
    )
    count = 0
    for _ in ds_list_load:
        count += 1
    assert count == 6