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import argparse


def parse_waveglow_args(parent, add_help=False):
    """
    Parse commandline arguments.
    """
    parser = argparse.ArgumentParser(parents=[parent], add_help=add_help, allow_abbrev=False)

    # misc parameters
    parser.add_argument("--n-mel-channels", default=80, type=int, help="Number of bins in mel-spectrograms")

    # glow parameters
    parser.add_argument("--flows", default=12, type=int, help="Number of steps of flow")
    parser.add_argument(
        "--groups", default=8, type=int, help="Number of samples in a group processed by the steps of flow"
    )
    parser.add_argument(
        "--early-every",
        default=4,
        type=int,
        help="Determines how often (i.e., after how many coupling layers) \
                        a number of channels (defined by --early-size parameter) are output\
                        to the loss function",
    )
    parser.add_argument("--early-size", default=2, type=int, help="Number of channels output to the loss function")
    parser.add_argument("--sigma", default=1.0, type=float, help="Standard deviation used for sampling from Gaussian")
    parser.add_argument(
        "--segment-length", default=4000, type=int, help="Segment length (audio samples) processed per iteration"
    )

    # wavenet parameters
    wavenet = parser.add_argument_group("WaveNet parameters")
    wavenet.add_argument(
        "--wn-kernel-size",
        default=3,
        type=int,
        help="Kernel size for dialted convolution in the affine coupling layer (WN)",
    )
    wavenet.add_argument("--wn-channels", default=512, type=int, help="Number of channels in WN")
    wavenet.add_argument("--wn-layers", default=8, type=int, help="Number of layers in WN")
    return parser