def METHOD_NAME(**kwargs):
    defaults = dict(
        in_channels=80,
        out_channels=1,
        kernel_size=7,
        channels=32,
        bias=True,
        upsample_scales=[4, 4],
        stack_kernel_size=3,
        stacks=2,
        nonlinear_activation="LeakyReLU",
        nonlinear_activation_params={"negative_slope": 0.2},
        pad="ReflectionPad1d",
        pad_params={},
        use_final_nonlinear_activation=True,
        use_weight_norm=True,
    )
    defaults.update(kwargs)
    return defaults