How to use the nnmnkwii.datasets.cmu_arctic.WavFileDataSource function in nnmnkwii

    @raises(ValueError)
    def __test_invalid_speaker():
        data_source = cmu_arctic.WavFileDataSource("dummy", speakers=["test"])

@attr("require_local_data")
@attr("require_cmu_arctic")
def test_cmu_arctic():
    DATA_DIR = join(expanduser("~"), "data", "cmu_arctic")
    if not exists(DATA_DIR):
        warn("Data doesn't exist at {}".format(DATA_DIR))
        return

    class MyFileDataSource(cmu_arctic.WavFileDataSource):
        def __init__(self, data_root, speakers, labelmap=None, max_files=2):
            super(MyFileDataSource, self).__init__(
                data_root, speakers, labelmap=labelmap, max_files=max_files)
            self.alpha = pysptk.util.mcepalpha(16000)

        def collect_features(self, path):
            fs, x = wavfile.read(path)
            x = x.astype(np.float64)
            f0, timeaxis = pyworld.dio(x, fs, frame_period=5)
            f0 = pyworld.stonemask(x, f0, timeaxis, fs)
            spectrogram = pyworld.cheaptrick(x, f0, timeaxis, fs)
            spectrogram = trim_zeros_frames(spectrogram)
            mc = pysptk.sp2mc(spectrogram, order=24, alpha=self.alpha)
            return mc.astype(np.float32)

    max_files = 10

def test_cmu_arctic_dummy():
    data_source = cmu_arctic.WavFileDataSource("dummy", speakers=["clb"])

    @raises(ValueError)
    def __test_invalid_speaker():
        data_source = cmu_arctic.WavFileDataSource("dummy", speakers=["test"])

    @raises(RuntimeError)
    def __test_nodir(data_source):
        data_source.collect_files()

    __test_invalid_speaker()
    __test_nodir(data_source)

def build_from_path(in_dir, out_dir, num_workers=1, tqdm=lambda x: x):
    executor = ProcessPoolExecutor(max_workers=num_workers)
    futures = []

    speakers = cmu_arctic.available_speakers

    wd = cmu_arctic.WavFileDataSource(in_dir, speakers=speakers)
    wav_paths = wd.collect_files()
    speaker_ids = wd.labels

    for index, (speaker_id, wav_path) in enumerate(
            zip(speaker_ids, wav_paths)):
        futures.append(executor.submit(
            partial(_process_utterance, out_dir, index + 1, speaker_id, wav_path, "N/A")))
    return [future.result() for future in tqdm(futures)]

def build_from_path(in_dir, out_dir, silence_threshold, fft_size, num_workers=1, tqdm=lambda x: x):
    executor = ProcessPoolExecutor(max_workers=num_workers)
    futures = []

    speakers = cmu_arctic.available_speakers

    wd = cmu_arctic.WavFileDataSource(in_dir, speakers=speakers)
    wav_paths = wd.collect_files()
    speaker_ids = wd.labels

    for index, (speaker_id, wav_path) in enumerate(
            zip(speaker_ids, wav_paths)):
        futures.append(executor.submit(
            partial(_process_utterance, out_dir, index + 1, speaker_id, wav_path, "N/A", silence_threshold, fft_size)))
    return [future.result() for future in tqdm(futures)]

def build_from_path(in_dir, out_dir, num_workers=1, tqdm=lambda x: x):
    executor = ProcessPoolExecutor(max_workers=num_workers)
    futures = []

    speakers = cmu_arctic.available_speakers

    wd = cmu_arctic.WavFileDataSource(in_dir, speakers=speakers)
    wav_paths = wd.collect_files()
    speaker_ids = wd.labels

    for index, (speaker_id, wav_path) in enumerate(
            zip(speaker_ids, wav_paths)):
        futures.append(executor.submit(
            partial(_process_utterance, out_dir, index + 1, speaker_id, wav_path, "N/A")))
    return [future.result() for future in tqdm(futures)]

def build_from_path(hparams, in_dir, out_dir, num_workers=1, tqdm=lambda x: x):
    executor = ProcessPoolExecutor(max_workers=num_workers)
    futures = []

    speakers = cmu_arctic.available_speakers

    wd = cmu_arctic.WavFileDataSource(in_dir, speakers=speakers)
    wav_paths = wd.collect_files()
    speaker_ids = wd.labels

    for index, (speaker_id, wav_path) in enumerate(
            zip(speaker_ids, wav_paths)):
        futures.append(executor.submit(
            partial(_process_utterance, out_dir, index + 1, speaker_id, wav_path, "N/A", hparams)))
    return [future.result() for future in tqdm(futures)]