}

func (rt *RTimedMetrics) String() string {
	s := rt.toMetric()
	return fmt.Sprintf("Errors in LastMinute: %v, LastHour: %v, SinceUptime: %v", s.LastMinute.Count, s.LastHour.Count, s.Totals.Count)
}

func (rt *RTimedMetrics) toMetric() madmin.TimedErrStats {
	if rt == nil {
		return madmin.TimedErrStats{}
	}
	errCounts := make(map[string]int)
	for k, v := range rt.ErrCounts {
		errCounts[k] = v

					removeAll(pathJoin(drivePath, minioMetaTmpDeletedBucket, ddir))
					wait()
					return nil
				})
			})
		}(disk)
	}
	wg.Wait()
}

// nsScanner will start scanning buckets and send updated totals as they are traversed.
// Updates are sent on a regular basis and the caller *must* consume them.

            SimpleXmlWriter writer = new SimpleXmlWriter(output, "  ");
            writer.startElement("testsuite")
                .attribute("name", result.getXmlTestSuiteName())

                // NOTE: these totals are unaffected by “merge reruns” with Surefire, so we do the same
                .attribute("tests", String.valueOf(result.getTestsCount()))
                .attribute("skipped", String.valueOf(result.getSkippedCount()))

	ctx, cancel := context.WithCancel(ctx)
	defer cancel()
	q := NewTestQueue(ctx, newDefaultQueueSort(), WithClock(testingclock.NewFakeClock(time.Now())))
	totalNum := 10
	expectedPods := make([]v1.Pod, 0, totalNum)
	for i := 0; i < totalNum; i++ {
		priority := int32(i)
		p := st.MakePod().Name(fmt.Sprintf("pod%d", i)).Namespace(fmt.Sprintf("ns%d", i)).UID(fmt.Sprintf("upns%d", i)).Priority(priority).Obj()

		if a != b {
			return a
		}
		return buckets[i].Created.After(buckets[j].Created)
	})

	// Load bucket totals
	cache := dataUsageCache{}
	if err := cache.load(ctx, z.serverPools[poolIdx].sets[setIdx], dataUsageCacheName); err == nil {
		dataUsageInfo := cache.dui(dataUsageRoot, nil)

		coreMap := make(map[string]struct{}, len(cpus))
		for i := range cpus {
			cpuMap[cpus[i].PhysicalID] = struct{}{}
			coreMap[cpus[i].CoreID] = struct{}{}
		}
		cpu := cpus[0]
		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

//
// The leaves are "compacted" based on a number of properties.
// A compacted leaf contains the totals of all files beneath it.
//
// A leaf is only scanned once every dataUsageUpdateDirCycles,
// rarer if the bloom filter for the path is clean and no lifecycles are applied.
// Skipped leaves have their totals transferred from the previous cycle.
//

					Description:    getRepFailedBytesTotalMD(clusterMetricNamespace),
					Value:          float64(stat.Failed.Totals.Bytes),
					VariableLabels: map[string]string{"endpoint": stat.Endpoint},
				})
				ml = append(ml, MetricV2{
					Description:    getRepFailedOperationsTotalMD(clusterMetricNamespace),
					Value:          stat.Failed.Totals.Count,
					VariableLabels: map[string]string{"endpoint": stat.Endpoint},
				})

setProcessMemoryDumpVmRegions_(pmd,processInfo){if(processInfo.mmaps===undefined){return;}

	diskMetric.TotalErrorsTimeout = p.totalErrsTimeout.Load()
	diskMetric.TotalErrorsAvailability = p.totalErrsAvailability.Load()

	return diskMetric
}

// lockedLastMinuteLatency accumulates totals lockless for each second.
type lockedLastMinuteLatency struct {
	cachedSec int64
	cached    atomic.Pointer[AccElem]
	mu        sync.Mutex
	init      sync.Once
	lastMinuteLatency
}