Ejemplo n.º 1
0
        def make_measurement(c, ms: Sequence[Measurement]):
            if len(ms) == 1:
                measurement = copy.copy(ms[0])
                measurement.coordinate = Coordinate(c)
                return measurement

            measurement = Measurement(Coordinate(c), ms[0].callpath, ms[0].metric, None)

            if self.use_median:
                value = np.mean([m.median for m in ms])
            else:
                value = np.mean([m.mean for m in ms])

            measurement.mean = value
            measurement.median = value
            if measurement.mean == 0:
                measurement.maximum = np.mean([m.maximum for m in ms])
                measurement.minimum = np.mean([m.minimum for m in ms])
                measurement.std = np.mean([m.std for m in ms])
            else:
                measurement.maximum = np.nanmean([m.maximum / m.mean for m in ms]) * measurement.mean
                measurement.minimum = np.nanmean([m.minimum / m.mean for m in ms]) * measurement.mean
                measurement.std = np.nanmean([m.std / m.mean for m in ms]) * measurement.mean

            return measurement
Ejemplo n.º 2
0
def deserialize_ExperimentPoint(experiment, id_mappings, ioHelper):
    # coordinate_id = ioHelper.readId()
    # sampleCount = ioHelper.readInt()
    # mean = ioHelper.readValue()
    # meanCI_start = ioHelper.readValue()
    # meanCI_end = ioHelper.readValue()
    # standardDeviation = ioHelper.readValue()
    # median = ioHelper.readValue()
    # medianCI_start = ioHelper.readValue()
    # medianCI_end = ioHelper.readValue()
    # minimum = ioHelper.readValue()
    # maximum = ioHelper.readValue()
    # metricId = ioHelper.readId()
    # callpathId = ioHelper.readId()
    coordinate_id, sampleCount, \
    mean, meanCI_start, meanCI_end, \
    standardDeviation, \
    median, medianCI_start, medianCI_end, \
    minimum, maximum, metricId, callpathId = ioHelper.read_pattern('qqdddddddddqq')

    coordinate = id_mappings.coordinate_mapping[coordinate_id]
    metric = experiment.metrics[metricId]
    callpath = id_mappings.callpath_mapping[callpathId]

    point = Measurement(coordinate, callpath, metric, None)
    point.minimum = minimum
    point.maximum = maximum
    point.mean = mean
    point.median = median
    point.std = standardDeviation
    return point