if testing.Short() {
		t.Skip("skipping due to -short")
	}
	// Note the HasCGO() test below; this is to prevent the test
	// running if CGO_ENABLED=0 is in effect.
	haverace := platform.RaceDetectorSupported(runtime.GOOS, runtime.GOARCH)
	if haverace && testenv.HasCGO() {
		bmodes = append(bmodes, "-race")
	}
	for _, bmode := range bmodes {
		scenarios := []struct {
			mode     string
			expected string
			musthave []string

        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)

| `minio_node_cpu_avg_load5`           | CPU load average 5min.                     |
| `minio_node_cpu_avg_load5_avg`       | CPU load average 5min (avg).               |
| `minio_node_cpu_avg_load5_max`       | CPU load average 5min (max).               |
| `minio_node_cpu_avg_load5_perc`      | CPU load average 5min (percentage).        |

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.
//