return true
	})
	return i
}

// lifetime returns the lifetime count of the specified metric.
func (p *scannerMetrics) lifetime(m scannerMetric) uint64 {
	if m >= scannerMetricLast {
		return 0
	}
	val := atomic.LoadUint64(&p.operations[m])
	return val
}

// lastMinute returns the last minute statistics of a metric.
// m should be < scannerMetricLastRealtime

	go.opentelemetry.io/auto/sdk v1.1.0 // indirect
	go.opentelemetry.io/contrib/detectors/gcp v1.35.0 // indirect
	go.opentelemetry.io/contrib/instrumentation/google.golang.org/grpc/otelgrpc v0.60.0 // indirect
	go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.60.0 // indirect
	go.opentelemetry.io/otel v1.35.0 // indirect
	go.opentelemetry.io/otel/metric v1.35.0 // indirect
	go.opentelemetry.io/otel/sdk v1.35.0 // indirect

Nesse cenário, cada um dos faxineiros (incluindo você) poderia ser um processador, fazendo a sua parte do trabalho.

E a maior parte do tempo de execução é tomada por trabalho real (ao invés de ficar esperando), e o trabalho em um computador é feito pela <abbr title="Central Processing Unit – Unidade Central de Processamento">CPU</abbr>. Eles chamam esses problemas de "limitados por CPU".

      </dependency>
    </dependencies>
  </dependencyManagement>

  <build>
    <plugins>
      <plugin>
        <groupId>org.sonatype.central</groupId>
        <artifactId>central-publishing-maven-plugin</artifactId>
        <version>${central-publishing-maven-plugin.version}</version>
        <extensions>true</extensions>
      </plugin>
    </plugins>
  </build>

  <profiles>
    <profile>

- [master](https://github.com/apache/maven) = 4.1.x: [![Maven Central](https://img.shields.io/maven-central/v/org.apache.maven/apache-maven.svg?label=Maven%20Central)](https://central.sonatype.com/artifact/org.apache.maven/apache-maven)

		})
		return metrics
	})
	return mg
}

func collectMetric(metric MetricV2, labels []string, values []string, metricName string, out chan<- prometheus.Metric) {
	if metric.Description.Type == histogramMetric {
		if metric.Histogram == nil {
			return
		}
		for k, v := range metric.Histogram {
			pmetric, err := prometheus.NewConstMetric(
				prometheus.NewDesc(

      </dependency>
    </dependencies>
  </dependencyManagement>

  <build>
    <plugins>
      <plugin>
        <groupId>org.sonatype.central</groupId>
        <artifactId>central-publishing-maven-plugin</artifactId>
        <version>${central-publishing-maven-plugin.version}</version>
        <extensions>true</extensions>
      </plugin>
    </plugins>
  </build>

  <profiles>
    <profile>

	}

	key := getResourceKey(name, labels)
	metric, found := subsysMetrics[key]
	if !found {
		metric = ResourceMetric{
			Name:   name,
			Labels: labels,
		}
	}

	if isCumulative {
		metric.Current = val - metric.Cumulative
		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current

						</goals>
					</execution>
				</executions>
			</plugin>
			<plugin>
				<groupId>org.sonatype.central</groupId>
				<artifactId>central-publishing-maven-plugin</artifactId>
				<version>0.7.0</version>
				<extensions>true</extensions>
				<configuration>
					<publishingServerId>central</publishingServerId>
				</configuration>
			</plugin>
		</plugins>
	</build>
	<dependencies>
		<dependency>

			for _, d := range mg.Descriptors {
				labels := slices.Clone(d.VariableLabels)
				labels = append(labels, commonLabels...)
				metric := metricDisplay{
					Name:   mg.MetricFQN(d.Name),
					Help:   d.Help,
					Type:   d.Type.String(),
					Labels: labels,
				}
				metrics = append(metrics, metric)
			}
		}
	}

	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {