def METHOD_NAME():
    scale_and_zp = {
        "lhs_scale": 0.00784314,
        "lhs_zp": 127,
        "rhs_scale": 0.00784314,
        "rhs_zp": 127,
        "output_scale": 0.00784314,
        "output_zp": 127,
    }
    x_datas = [
        np.array((140, 153, 165, 178)).reshape((1, 4)),
        np.array((25, 153, 178, 216)).reshape((1, 4)),
        np.array((25, 153, 216, 165)).reshape((1, 4)),
    ]
    y_datas = [
        np.array((204, 178, 165, 140)).reshape((1, 4)),
        np.array((204, 178, 191, 25)).reshape((1, 4)),
        np.array((204, 178, 25, 191)).reshape((1, 4)),
    ]
    golden_outputs = [
        np.array((63, 102, 127, 165)).reshape((1, 4)),
        np.array((0, 102, 114, 255)).reshape((1, 4)),
        np.array((0, 102, 255, 101)).reshape((1, 4)),
    ]
    qnn_subtract_driver(x_datas, y_datas, golden_outputs, scale_and_zp)