def METHOD_NAME():
    scale_and_zp = {
        "lhs_scale": 0.0156863,
        "lhs_zp": 127,
        "rhs_scale": 0.0117647,
        "rhs_zp": 85,
        "output_scale": 0.0235294,
        "output_zp": 128,
    }
    x_datas = [
        np.array((76, 140, 153, 172)).reshape((1, 4)),
        np.array((133, 140, 146, 153)).reshape((1, 4)),
        np.array((76, 140, 172, 146)).reshape((1, 4)),
    ]
    y_datas = [
        np.array((136, 119, 128, 17)).reshape((1, 4)),
        np.array((136, 119, 111, 94)).reshape((1, 4)),
        np.array((136, 119, 17, 128)).reshape((1, 4)),
    ]
    golden_outputs = [
        np.array((68, 120, 123, 192)).reshape((1, 4)),
        np.array((106, 120, 128, 140)).reshape((1, 4)),
        np.array((68, 120, 192, 119)).reshape((1, 4)),
    ]
    qnn_subtract_driver(x_datas, y_datas, golden_outputs, scale_and_zp)