internodeDialedErrorsTotalMD = NewCounterMD(internodeDialErrorsTotal,
		"Total number of internode TCP dial timeouts and errors")
	internodeDialAvgTimeNanosMD = NewGaugeMD(internodeDialAvgTimeNanos,
		"Average dial time of internode TCP calls in nanoseconds")
	internodeSentBytesTotalMD = NewCounterMD(internodeSentBytesTotal,
		"Total number of bytes sent to other peer nodes")

)

// mostResourceScorer favors nodes with most requested resources.
// It calculates the percentage of memory and CPU requested by pods scheduled on the node, and prioritizes
// based on the maximum of the average of the fraction of requested to capacity.
//
// Details:
// (cpu(MaxNodeScore * requested * cpuWeight / capacity) + memory(MaxNodeScore * requested * memoryWeight / capacity) + ...) / weightSum

    @Execute
    public StreamResponse get$download(final DownloadBody body) {
        validateApi(body, messages -> {});
        return asStream("elevate.csv").contentTypeOctetStream().stream(out -> {
            final Path tempFile = ComponentUtil.getSystemHelper().createTempFile("fess-elevate-", ".csv").toPath();
            try {

	// +optional
	Selector *metav1.LabelSelector `json:"selector,omitempty" protobuf:"bytes,2,name=selector"`
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
type MetricTarget struct {
	// type represents whether the metric type is Utilization, Value, or AverageValue
	Type MetricTargetType `json:"type" protobuf:"bytes,1,name=type"`

errors.failed_to_upload_kuromoji_file=Upload der Kuromoji-Datei fehlgeschlagen.
errors.failed_to_download_elevate_file=Download der Elevate-Datei fehlgeschlagen.
errors.failed_to_upload_elevate_file=Upload der Elevate-Datei fehlgeschlagen.
errors.failed_to_download_badword_file=Download der Badword-Datei fehlgeschlagen.
errors.failed_to_upload_badword_file=Upload der Badword-Datei fehlgeschlagen.

	// +optional
	Selector *metav1.LabelSelector `json:"selector,omitempty" protobuf:"bytes,2,name=selector"`
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
type MetricTarget struct {
	// type represents whether the metric type is Utilization, Value, or AverageValue
	Type MetricTargetType `json:"type" protobuf:"bytes,1,name=type"`

		}

		if gotFair != expectFair {
			uss.t.Errorf("%s client %d last=%v expectFair=%v margin=%v got an Average of %v but the expected average was %v", uss.name, i, last, expectFair, margin, averages[i], expectedAverage)
		} else {
			uss.t.Logf("%s client %d last=%v expectFair=%v margin=%v got an Average of %v and the expected average was %v", uss.name, i, last, expectFair, margin, averages[i], expectedAverage)
		}
	}

					0: {10, 10, 10, 10},
					1: {10, 10, 10, 10},
					2: {10, 10, 10, 10},
					3: {10, 10, 10, 10},
				},
			},
		},
		{
			description: "current and candidate length is the same, candidate average distance is smaller",
			current:     NewTestBitMask(0, 3),
			candidate:   NewTestBitMask(0, 1),
			expected:    "candidate",
			numaInfo: &NUMAInfo{
				NUMADistances: NUMADistances{
					0: {10, 11, 12, 12},

// each collected sample by its probability of appearing in the
// profile. heap profiles rely on a poisson process to determine
// which samples to collect, based on the desired average collection
// rate R. The probability of a sample of size S to appear in that
// profile is 1-exp(-S/R).
func scaleHeapSample(count, size, rate int64) (int64, int64) {
	if count == 0 || size == 0 {
		return 0, 0
	}

 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()
 *         <li>5 levels: average of 103ns per lock()/unlock()
 *         <li>10 levels: average of 184ns per lock()/unlock()
 *         <li>20 levels: average of 393ns per lock()/unlock()
 *       </ul>
 * </ul>
 *