def get_preprocess_args():
    parser = argparse.ArgumentParser(description='preprocess arguments for any dataset.')
    parser.add_argument('-i', '--input_path', default='/livingrooms/public/LibriLight/', type=str, help='Path to your LibriSpeech directory', required=False)
    parser.add_argument('-o', '--output_path', default='/livingrooms/public/LibriLight/', type=str, help='Path to store output', required=False)
    parser.add_argument('-s', '--split_size', default=60, type=int, help='Split size in seconds', required=False)
    parser.add_argument('-a', '--audio_extension', default='.flac', type=str, help='audio file type (.wav / .flac / .mp3 / etc)', required=False)
    parser.add_argument('-n', '--name', default='-splitted', type=str, help='Name to append on the original directory', required=False)
    parser.add_argument('--n_jobs', default=(- 1), type=int, help='Number of jobs used for computation', required=False)
    args = parser.parse_args()
    return args
def get_preprocess_args():
    parser = argparse.ArgumentParser(description='preprocess arguments for any dataset.')
    parser.add_argument('-i', '--input_path', default='/livingrooms/public/LibriLight/', type=str, help='Path to your LibriSpeech directory', required=False)
    parser.add_argument('-o', '--output_path', default='/livingrooms/public/LibriLight/', type=str, help='Path to store output', required=False)
    parser.add_argument('-s', '--split_size', default=60, type=int, help='Split size in seconds', required=False)
    parser.add_argument('-a', '--audio_extension', default='.flac', type=str, help='audio file type (.wav / .flac / .mp3 / etc)', required=False)
    parser.add_argument('-n', '--name', default='-splitted', type=str, help='Name to append on the original directory', required=False)
    parser.add_argument('--n_jobs', default=(- 1), type=int, help='Number of jobs used for computation', required=False)
    args = parser.parse_args()
    return args