{"attributes":{"description":"","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"average-response-time","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"average-response-time\",\"type\":\"area\",\"params\":{\"type\":\"area\",\"grid\":{\"categoryLines\":false},\"categoryAxes\":[{\"id\":\"CategoryAxis-1\",\"type\":\"category\",\"position\":\"bottom\",\"show\":true,\"...

}

// exponentialMovingAverage calculates the exponential moving average
func exponentialMovingAverage(beta, previousAvg, incrementAvg float64) float64 {
	return (1-beta)*incrementAvg + beta*previousAvg
}

// getExpMovingAvgBytesPerSecond returns the exponential moving average for the bucket/target in bytes
func (m *rateMeasurement) getExpMovingAvgBytesPerSecond() float64 {
	m.lock.Lock()

		allDriveLabels...)
	driveWaitingIOMD = NewGaugeMD(driveWaitingIO,
		"Total waiting I/O operations on a drive", allDriveLabels...)
	driveAPILatencyMD = NewGaugeMD(driveAPILatencyMicros,
		"Average last minute latency in µs for drive API storage operations",
		append(allDriveLabels, apiL)...)
	driveHealthMD = NewGaugeMD(driveHealth,
		"Drive health (0 = offline, 1 = healthy, 2 = healing)", allDriveLabels...)

	show("Float32", r.Float32(), r.Float32(), r.Float32())
	show("Float64", r.Float64(), r.Float64(), r.Float64())

	// ExpFloat64 values have an average of 1 but decay exponentially.
	show("ExpFloat64", r.ExpFloat64(), r.ExpFloat64(), r.ExpFloat64())

	// NormFloat64 values have an average of 0 and a standard deviation of 1.
	show("NormFloat64", r.NormFloat64(), r.NormFloat64(), r.NormFloat64())

	show("Float32", r.Float32(), r.Float32(), r.Float32())
	show("Float64", r.Float64(), r.Float64(), r.Float64())

	// ExpFloat64 values have an average of 1 but decay exponentially.
	show("ExpFloat64", r.ExpFloat64(), r.ExpFloat64(), r.ExpFloat64())

	// NormFloat64 values have an average of 0 and a standard deviation of 1.
	show("NormFloat64", r.NormFloat64(), r.NormFloat64(), r.NormFloat64())

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

	"":                   "MetricTarget defines the target value, average value, or average utilization of a specific metric",
	"type":               "type represents whether the metric type is Utilization, Value, or AverageValue",
	"value":              "value is the target value of the metric (as a quantity).",
	"averageValue":       "averageValue is the target value of the average of the metric across all relevant pods (as a quantity)",

class CreateStringAttr<string values> : NativeCodeCall<
  "$_builder.getStringAttr("# values #")">;

// Get dense attr for a matrix that corrects the over counting of dividends when casting an average pool with ceil mode on in terms of average pool with it off.
def GetCorrectionMatrix: NativeCodeCall<"GetCorrectionMatrix($_builder, (*$0.begin()).getDefiningOp<mhlo::CompositeOp>())">;

	if d < 0 {
		return -d
	}
	return d
}

// averageDelta returns the average delta in RGB space. The two images must
// have the same bounds.
func averageDelta(m0, m1 image.Image) int64 {
	b := m0.Bounds()
	return averageDeltaBound(m0, m1, b, b)
}

// averageDeltaBound returns the average delta in RGB space. The average delta is
// calculated in the specified bounds.

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;