storageInfo := clusterDriveMetrics.storageInfo

	m.Set(healthCapacityRawTotalBytes, float64(GetTotalCapacity(storageInfo.Disks)))
	m.Set(healthCapacityRawFreeBytes, float64(GetTotalCapacityFree(storageInfo.Disks)))
	m.Set(healthCapacityUsableTotalBytes, float64(GetTotalUsableCapacity(storageInfo.Disks, storageInfo)))
	m.Set(healthCapacityUsableFreeBytes, float64(GetTotalUsableCapacityFree(storageInfo.Disks, storageInfo)))

	return nil

					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")
					b.ReportMetric(latency/float64(ops), "ms/op")
				}
			})
		}
	})
	b.Run("rpc", func(b *testing.B) {
		for par := 1; par <= 32; par *= 2 {

		defaultKeyFunc,
		&MapClaims{
			MapClaims: jwt.MapClaims{
				"foo": "bar",
				"exp": float64(time.Now().Unix() - 100),
			},
		},
		false,
		-1,
	},
	{
		"basic nbf",
		"", // autogen
		defaultKeyFunc,
		&MapClaims{
			MapClaims: jwt.MapClaims{
				"foo": "bar",
				"nbf": float64(time.Now().Unix() + 100),
			},
		},
		false,
		-1,
	},
	{
		"expired and nbf",

		metrics = append(metrics, MetricV2{
			Description:    tierRequestsSuccessMD,
			Value:          float64(stat.success),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    tierRequestsFailureMD,
			Value:          float64(stat.failure),
			VariableLabels: map[string]string{"tier": tier},
		})
	}
	return metrics
}

	hourTotals := rt.LastHour.getTotal()
	return madmin.TimedErrStats{
		LastMinute: madmin.RStat{
			Count: float64(minuteTotals.N),
			Bytes: minuteTotals.Size,
		},
		LastHour: madmin.RStat{
			Count: float64(hourTotals.N),
			Bytes: hourTotals.Size,
		},
		Totals: madmin.RStat{
			Count: float64(rt.SinceUptime.Count),
			Bytes: rt.SinceUptime.Bytes,
		},
		ErrCounts: errCounts,
	}
}

			// return false anyways for both situations.
			return false
		default:
			if lm.lock(id, source, isWriteLock) {
				return true
			}
			time.Sleep(time.Duration(r.Float64() * float64(lockRetryInterval)))
		}
	}
}

// Unlock unlocks the write lock.
//
// It is a run-time error if lm is not locked on entry to Unlock.
func (lm *LRWMutex) Unlock() {
	isWriteLock := true

		if globalExpiryState != nil {
			expPendingTasks.Value = float64(globalExpiryState.PendingTasks())
			expMissedTasks.Value = float64(globalExpiryState.stats.MissedTasks())
			expMissedFreeVersions.Value = float64(globalExpiryState.stats.MissedFreeVersTasks())
			expMissedTierJournalTasks.Value = float64(globalExpiryState.stats.MissedTierJournalTasks())
			expNumWorkers.Value = float64(globalExpiryState.stats.NumWorkers())
		}

			if intA > result {
				result = intA
			}
		}
		v.setInt(result)
		return nil
	}

	floatV, _ := v.ToFloat()
	floatA, _ := a.ToFloat()
	var result float64
	if !isMax {
		result = math.Min(floatV, floatA)
	} else {
		result = math.Max(floatV, floatA)
	}
	v.setFloat(result)
	return nil
}

func inferTypeAsTimestamp(v *Value) error {
	if s, ok := v.ToString(); ok {

			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api", "bucket"},
	)

		return err
	}

	m.Set(memTotal, float64(memMetrics.Total))
	m.Set(memUsed, float64(memMetrics.Used))
	usedPerc := float64(memMetrics.Used) * 100 / float64(memMetrics.Total)
	m.Set(memUsedPerc, usedPerc)
	m.Set(memFree, float64(memMetrics.Free))
	m.Set(memBuffers, float64(memMetrics.Buffers))
	m.Set(memCache, float64(memMetrics.Cache))
	m.Set(memShared, float64(memMetrics.Shared))