if hm.CPU.CPUCount > 0 {
					perc := math.Round(ls.Load1*100*100/float64(hm.CPU.CPUCount)) / 100
					updateResourceMetrics(cpuSubsystem, cpuLoad1Perc, perc, labels, false)
					perc = math.Round(ls.Load5*100*100/float64(hm.CPU.CPUCount)) / 100
					updateResourceMetrics(cpuSubsystem, cpuLoad5Perc, perc, labels, false)
					perc = math.Round(ls.Load15*100*100/float64(hm.CPU.CPUCount)) / 100

	cpuMetrics, _ := c.cpuMetrics.Get()

	if cpuMetrics.LoadStat != nil {
		m.Set(sysCPULoad, cpuMetrics.LoadStat.Load1)
		perc := cpuMetrics.LoadStat.Load1 * 100 / float64(cpuMetrics.CPUCount)
		m.Set(sysCPULoadPerc, math.Round(perc*100)/100)
	}

	ts := cpuMetrics.TimesStat
	if ts != nil {
		tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal

		Downloads:     totalBytesRead,
		UploadTimes:   uploadTimes,
		DownloadTimes: downloadTimes,
		DownloadTTFB:  downloadTTFB,
		Error:         retError,
	}, nil
}

// To collect RX stats during "mc support perf net"
// RXSample holds the RX bytes for the duration between
// the last peer to connect and the first peer to disconnect.
// This is to improve the RX throughput accuracy.
type netPerfRX struct {

szombaton".split(" ");function Tn(e,a,t,s){var n=e;switch(t){case"s":return s||a?"n\xe9h\xe1ny m\xe1sodperc":"n\xe9h\xe1ny m\xe1sodperce";case"ss":return n+(s||a)?" m\xe1sodperc":" m\xe1sodperce";case"m":return"egy"+(s||a?" perc":" perce");case"mm":return n+(s||a?" perc":" perce");case"h":return"egy"+(s||a?" \xf3ra":" \xf3r\xe1ja");case"hh":return n+(s||a?" \xf3ra":" \xf3r\xe1ja");case"d":return"egy"+(s||a?" nap":" napja");case"dd":return n+(s||a?" nap":" napja");case"M":return"egy"+(s||a?" h\xf3nap":"...

**FastAPI** provee `starlette.responses` como `fastapi.responses`, simplemente como una conveniencia para ti, el desarrollador. Pero la mayoría de las respuestas disponibles vienen directamente de Starlette.

///

## Devolviendo una `Response` personalizada

							<mapper>
								<type>perm</type>
								<user>${packaging.fess.user}</user>
								<group>${packaging.fess.group}</group>
							</mapper>
						</data>
						<data>
							<type>directory</type>
							<src>${project.build.directory}/fess/WEB-INF/classes/org/codelibs/fess/tomcat</src>
							<mapper>
								<type>perm</type>

			if globalEndpoints.NEndpoints() < concurrency {
				concurrency = globalEndpoints.NEndpoints()
			}

			// Check if we have local disks per pool less than
			// the concurrency make sure we choose only the "start"
			// concurrency to be equal to the lowest number of
			// local disks per server.
			for _, localDiskCount := range globalEndpoints.NLocalDisksPathsPerPool() {
				if localDiskCount < concurrency {

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   * <pre>{@code
   * for (List<String> perm : orderedPermutations(asList("b", "c", "a"))) {
   *   println(perm);
   * }
   * // -> ["a", "b", "c"]
   * // -> ["a", "c", "b"]
   * // -> ["b", "a", "c"]
   * // -> ["b", "c", "a"]
   * // -> ["c", "a", "b"]
   * // -> ["c", "b", "a"]
   *
   * for (List<Integer> perm : orderedPermutations(asList(1, 2, 2, 1))) {
   *   println(perm);
   * }
   * // -> [1, 1, 2, 2]

	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	permutes := r.Perm(len(buckets))
	// Add new buckets first
	for _, idx := range permutes {
		b := buckets[idx]