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

        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) {

			}
			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))

	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")

namespace tensorflow {
namespace calibrator {

using ::stablehlo::quantization::CalibrationOptions;

// AverageMinMax calibration calculates the average of min and max values.
// average of min = sum of min values / number of samples
// average of max = sum of max values / number of samples
class CalibrationStatisticsCollectorAverageMinMax
    : public CalibrationStatisticsCollectorBase {
 public:

var (
	replicationAverageActiveWorkersMD = NewGaugeMD(replicationAverageActiveWorkers,
		"Average number of active replication workers")
	replicationAverageQueuedBytesMD = NewGaugeMD(replicationAverageQueuedBytes,
		"Average number of bytes queued for replication since server start")
	replicationAverageQueuedCountMD = NewGaugeMD(replicationAverageQueuedCount,
		"Average number of objects queued for replication since server start")

	Stop()
	size := buf.Len()
	if size == 0 {
		t.Fatalf("trace is empty")
	}
	time.Sleep(100 * time.Millisecond)
	if size != buf.Len() {
		t.Fatalf("trace writes after stop: %v -> %v", size, buf.Len())
	}
	saveTrace(t, buf, "TestTraceStartStop")
}

func TestTraceDoubleStart(t *testing.T) {
	if IsEnabled() {
		t.Skip("skipping because -test.trace is set")
	}
	Stop()
	buf := new(bytes.Buffer)