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"},
	)

		totalFree += disk.AvailableSpace

		diskStats[disk.PoolIndex].AvailableSpace += disk.AvailableSpace
		diskStats[disk.PoolIndex].TotalSpace += disk.TotalSpace
	}
	r.PercentFreeGoal = float64(totalFree) / float64(totalCap)

	now := time.Now()
	for idx := range z.serverPools {
		r.PoolStats[idx] = &rebalanceStats{
			Buckets:           make([]string, len(buckets)),

	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values
	// helps in calculating the current value by comparing the new
	// cumulative value with previous one
	Cumulative float64

	Max   float64
	Avg   float64
	Sum   float64
	Count uint64
}

func init() {

					// 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 {

		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
}

			attempt = 16
		}
		// sleep = random_between(unit, min(cap, base * 2 ** attempt))
		sleep := unit * time.Duration(1<<attempt)
		if sleep > cap {
			sleep = cap
		}
		sleep -= time.Duration(r.Float64() * float64(sleep-unit))
		return sleep
	}
}

func (c *Client) runHealthCheck() bool {
	// Start goroutine that will attempt to reconnect.
	// If server is already trying to reconnect this will have no effect.

				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))
				if success {
					break
				}
				if delay > 0 {
					time.Sleep(delay + time.Duration(rnd.Float64()*float64(delay)))
				}
			}

			if wait := globalBatchConfig.KeyRotationWait(); wait > 0 {
				time.Sleep(wait)
			}
		}()
	}
	wk.Wait()

	ri.Complete = ri.ObjectsFailed == 0

						return
					}
					if configRetriableErrors(err) {
						decomLogIf(ctx, fmt.Errorf("Unable to resume decommission of pools %v: %w: retrying..", pools, err))
						time.Sleep(time.Second + time.Duration(r.Float64()*float64(5*time.Second)))
						continue
					}
					decomLogIf(ctx, fmt.Errorf("Unable to resume decommission of pool %v: %w", pools, err))
					return
				}
			}
		}()
	}

	return nil
}

			}
		})
	}
}

func TestValue_bytesToFloat(t *testing.T) {
	type fields struct {
		value interface{}
	}
	tests := []struct {
		name   string
		fields fields
		want   float64
		wantOK bool
	}{
		// Copied from TestValue_bytesToInt.
		{
			name: "zero",
			fields: fields{
				value: []byte("0"),
			},
			want:   0,
			wantOK: true,
		},
		{