How to use calculate_middle_average method in lisa

Best Python code snippet using lisa_python

performance.py

Source:performance.py

...239                )240            finally:241                server_kill = server.tools[Kill]242                server_kill.by_name("xdpdump")243        final_without_xdp = calculate_middle_average(latency_without_xdp)244        final_with_xdp = calculate_middle_average(latency_with_xdp)245        log.info(246            f"Latency with XDP: {final_with_xdp}us, "247            f"without XDP: {final_without_xdp}us. "248            f"Raw with XDP: {latency_with_xdp}, "249            f"without XDP: {latency_without_xdp}. "250        )251        assert_that(final_with_xdp / final_without_xdp).described_as(252            f"The XDP latency: {final_with_xdp}us shouldn't slower 40% than "253            f"the normal latency: {final_without_xdp}us."254        ).is_less_than_or_equal_to(_default_latency_threshold)255    def _send_packets_for_latency(256        self,257        server: Node,258        client: Node,...

common.py

Source:common.py

...418                    )419                )420    for iperf3_message in iperf3_messages_list:421        notifier.notify(iperf3_message)422def calculate_middle_average(values: List[Union[float, int]]) -> float:423    """424    This method is used to calculate an average indicator. It discard the max425    and min value, and then take the average.426    """427    total = sum(x for x in values) - min(values) - max(values)428    # calculate average...

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