{* ../../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`.

* `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`。

	}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{
			Avg:  savg / float64(count),
			Curr: scurr / float64(count),
			Peak: speak,
		}
		qs.XferStats[Large] = lrg
		qs.XferStats[Small] = sml
		qs.XferStats[Total] = XferStats{
			Avg:  (savg + lavg) / float64(count),
			Curr: (lcurr + scurr) / float64(count),

    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Bytes.toArray(bytes)).isEqualTo(array);
    assertThat(Bytes.toArray(shorts)).isEqualTo(array);
    assertThat(Bytes.toArray(ints)).isEqualTo(array);
    assertThat(Bytes.toArray(floats)).isEqualTo(array);

		return nil
	}

	nstats := globalEventNotifier.targetList.Stats()
	m.Set(notificationCurrentSendInProgress, float64(nstats.CurrentSendCalls))
	m.Set(notificationEventsErrorsTotal, float64(nstats.EventsErrorsTotal))
	m.Set(notificationEventsSentTotal, float64(nstats.TotalEvents))
	m.Set(notificationEventsSkippedTotal, float64(nstats.EventsSkipped))

	return nil

		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(betaBucket, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average
func exponentialMovingAverage(beta, previousAvg, incrementAvg float64) float64 {

		wg.Add(1)
		rng := rand.New(rand.NewSource(int64(i)))
		go func() {
			defer wg.Done()
			for range 100 {
				for range 100 {
					timeout.LogSuccess(time.Duration(float64(time.Second) * rng.Float64()))
				}
				to := timeout.Timeout()
				if to < time.Millisecond || to > time.Second {
					panic(to)
				}
			}
		}()
	}
	wg.Wait()
}

		if rows == -1 {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, rows, sql)
		}
	case l.LogLevel == Info:
		sql, rows := fc()
		if rows == -1 {
			l.Printf(l.traceStr, utils.FileWithLineNum(), float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {

	audit := logger.CurrentStats()
	for id, st := range audit {
		labels := []string{targetID, id}
		m.Set(auditFailedMessages, float64(st.FailedMessages), labels...)
		m.Set(auditTargetQueueLength, float64(st.QueueLength), labels...)
		m.Set(auditTotalMessages, float64(st.TotalMessages), labels...)
	}

	return nil

		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",