tutti
a
c
e
i
l
o
ho
hai
ha
abbiamo
avete
hanno
abbia
abbiate
abbiano
avrò
avrai
avrà
avremo
avrete
avranno
avrei
avresti
avrebbe
avremmo
avreste
avrebbero
avevo
avevi
aveva
avevamo
avevate
avevano
ebbi
avesti
ebbe
avemmo
aveste
ebbero
avessi
avesse
avessimo
avessero
avendo

        expect:
        series.size() == 3
        series.average == v2
        series.average == v2
        series.min == v1
        series.max == v3
    }

    def "can be empty"() {
        def series = new DataSeries([null, null])

        expect:
        series.empty
        series.average == null
        series.median == null
        series.min == null
        series.max == null

	return x == y || x != nil && y != nil && x.Duration == y.Duration && x.Min == y.Min && x.Max == y.Max && (x.Average == y.Average || math.IsNaN(x.Average) && math.IsNaN(y.Average)) && (x.Deviation == y.Deviation || math.IsNaN(x.Deviation) && math.IsNaN(y.Deviation))
}

type integrator struct {
	name  string
	clock clock.PassiveClock
	sync.Mutex
	lastTime time.Time
	x        float64
	moments  Moments

        median = medianLeft.plus(medianRight).div(2);
        average = total.div(size());
        this.min = min;
        this.max = max;

        BigDecimal sumSquares = BigDecimal.ZERO;
        Units<Q> baseUnits = average.getUnits().getBaseUnits();
        BigDecimal averageValue = average.toUnits(baseUnits).getValue();
        for (Amount<Q> amount : this) {

	rToo := igr.Reset()
	if e := (IntegratorResults{Duration: time.Second.Seconds(), Average: 3, Deviation: 0, Min: 0, Max: 3}); !e.Equal(&results) {
		t.Errorf("expected %#+v, got %#+v", e, results)
	}
	if !results.Equal(&rToo) {
		t.Errorf("expected %#+v, got %#+v", results, rToo)
	}
	igr.Set(2)
	results = igr.GetResults()
	if e := (IntegratorResults{Duration: 0, Average: math.NaN(), Deviation: math.NaN(), Min: 2, Max: 3}); !e.Equal(&results) {

			}
			if results0.Average < 15.5 || results0.Average > 16.1 {
				t.Errorf("Flow 0 got average concurrency of %v but expected about 16", results0.Average)
			} else {
				t.Logf("Flow 0 got average concurrency of %v and expected about 16", results0.Average)
			}
			if results1.Average < 5.5 || results1.Average > 6.1 {
				t.Errorf("Flow 1 got average concurrency of %v but expected about 6", results1.Average)

class CrossVersionPerformanceTestExecutionTest extends ResultSpecification {
    def result = new CrossVersionPerformanceResults(testProject: "some-project", tasks: [], cleanTasks: [])

    def "passes when average execution time for current release is smaller than average execution time for previous releases"() {
        given:
        result.baseline("1.0").results.add(operation(totalTime: 110))
        result.baseline("1.0").results.add(operation(totalTime: 100))

}

// 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 in bytes
func (m *bucketMeasurement) getExpMovingAvgBytesPerSecond() float64 {
	m.lock.Lock()

package testing

import (
	"runtime"
)

// AllocsPerRun returns the average number of allocations during calls to f.
// Although the return value has type float64, it will always be an integral value.
//
// To compute the number of allocations, the function will first be run once as
// a warm-up. The average number of allocations over the specified number of
// runs will then be measured and returned.
//

	sysCPUUser      = "user"
)

var (
	sysCPUAvgIdleMD   = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time")
	sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time")
	sysCPULoadMD      = NewGaugeMD(sysCPULoad, "CPU load average 1min")
	sysCPULoadPercMD  = NewGaugeMD(sysCPULoadPerc, "CPU load average 1min (percentage)")
	sysCPUNiceMD      = NewGaugeMD(sysCPUNice, "CPU nice time")