m.Set(erasureSetReadQuorum, float64(h.ReadQuorum), labels...)
		m.Set(erasureSetWriteQuorum, float64(h.WriteQuorum), labels...)
		m.Set(erasureSetOnlineDrivesCount, float64(h.HealthyDrives), labels...)
		m.Set(erasureSetHealingDrivesCount, float64(h.HealingDrives), labels...)
		m.Set(erasureSetHealth, b2f(h.Healthy), labels...)

		readHealthy := true
		readTolerance := float64(h.HealthyDrives - h.ReadQuorum)

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

## Validations numériques : flottants, supérieur et inférieur { #number-validations-floats-greater-than-and-less-than }

Les validations numériques fonctionnent également pour les valeurs `float`.

			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"},
	)

	rpcStats := rest.GetRPCStats()
	if globalIsDistErasure {
		m.Set(internodeErrorsTotal, float64(rpcStats.Errs))
		m.Set(internodeDialErrorsTotal, float64(rpcStats.DialErrs))
		m.Set(internodeDialAvgTimeNanos, float64(rpcStats.DialAvgDuration))
		m.Set(internodeSentBytesTotal, float64(connStats.internodeOutputBytes))
		m.Set(internodeRecvBytesTotal, float64(connStats.internodeInputBytes))
	}
	return nil

		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))

		// i.e. x = c_i*pfc -f_i
		totalBytesToRebal := float64(ps.InitCapacity)*meta.PercentFreeGoal - float64(ps.InitFreeSpace)
		elapsed := time.Since(ps.Info.StartTime)
		eta := time.Duration(totalBytesToRebal * float64(elapsed) / float64(ps.Bytes))
		if !ps.Info.EndTime.IsZero() {
			stopTime = ps.Info.EndTime
		}

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

## Валидация числовых данных: числа с плавающей точкой, больше и меньше { #number-validations-floats-greater-than-and-less-than }

Валидация также применима к значениям типа `float`.

					m.Set(bucketReplProxiedHeadRequestsTotal, float64(s.ProxyStats.HeadTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsFailures, float64(s.ProxyStats.PutTagFailedTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsTotal, float64(s.ProxyStats.PutTagTotal), labels...)
					m.Set(bucketReplSentCount, float64(stat.ReplicatedCount), labels...)

* `gt`：大於（`g`reater `t`han）
* `le`：小於或等於（`l`ess than or `e`qual）

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

## 數值驗證：浮點數、大於與小於 { #number-validations-floats-greater-than-and-less-than }

數值驗證也適用於 `float`。

這時就能看出能宣告 <abbr title="greater than - 大於"><code>gt</code></abbr>（不只是 <abbr title="greater than or equal - 大於或等於"><code>ge</code></abbr>）的重要性。因為你可以要求數值必須大於 `0`，即便它小於 `1`。

	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() {