def _mergeDelayData()

in benchmarking/driver/benchmark_driver.py [0:0]

• 37 lines of code
• 11 McCabe index (conditional complexity)

def _mergeDelayData(treatment_data, control_data, bname):
    data = copy.deepcopy(treatment_data)
    # meta is not a metric, so handle is seperatly
    data["meta"] = _mergeDelayMeta(treatment_data["meta"], control_data["meta"], bname)
    for k in treatment_data:
        # meta was already merged, so don't try to merge it again
        if k == "meta":
            continue
        if k not in control_data:
            getLogger().error(
                f"Value {k} existed in treatment but not control for benchmark {bname}.",
            )
            continue
        control_value = control_data[k]
        treatment_value = treatment_data[k]
        if "info_string" in treatment_value:
            assert (
                "info_string" in control_value
            ), "Control value missing info_string field"
            # If the treatment and control are not the same,
            # treatment value is used, the control value is lost.
            treatment_string = treatment_value["info_string"]
            control_string = control_value["info_string"]
            if treatment_string != control_string:
                getLogger().warning(
                    "Treatment value is used, and the control value is lost. "
                    + "The field info_string in control "
                    + "({})".format(control_string)
                    + "is different from the info_string in treatment "
                    + "({})".format(treatment_string)
                )

        if "values" in control_value:
            data[k]["control_values"] = control_value["values"]

        if "summary" in control_value:
            data[k]["control_summary"] = control_value["summary"]
            assert "summary" in treatment_value, "Summary is missing in treatment"
        # create diff of delay
        if "summary" in control_value and "summary" in treatment_value:
            data[k]["diff_summary"] = _createDiffOfDelay(
                control_value["summary"], treatment_value["summary"]
            )

    return data