t = &m
		}

		mx[Total] = *t
		metric := SRMetric{
			ReplicatedSize:  v.ReplicatedSize,
			ReplicatedCount: v.ReplicatedCount,
			DeploymentID:    dID,
			Failed:          v.Failed.toMetric(),
			XferStats:       mx,
		}
		epHealth, ok := epMap[v.Endpoint]
		if ok {
			metric.Endpoint = epHealth.Endpoint
			metric.TotalDowntime = epHealth.offlineDuration
			metric.LastOnline = epHealth.lastOnline

			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) {

}

// MetricsGroup - represents a group of metrics. It includes a `MetricsLoaderFn`
// function that provides a way to load the metrics from the system. The metrics
// are cached and refreshed after a given timeout.
//
// For metrics with a `bucket` dimension, a list of buckets argument is required
// to collect the metrics.
//
// It implements the prometheus.Collector interface for metric groups without a

    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

    branches: [master]
  schedule:
    - cron: '0 11 * * 4'

jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list
        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']
        language: ['java']
        # Learn more...

		cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100
		m.Set(sysCPUNice, cpuNiceVal)
		cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {

func (m *MetricValues) setDriveAPIMetrics(disk madmin.Disk, labels []string) {
	if disk.Metrics == nil {
		return
	}

	m.Set(driveTimeoutErrorsTotal, float64(disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveIOErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability-disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveAvailabilityErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability), labels...)

	internodeRecvBytesTotalMD = NewCounterMD(internodeRecvBytesTotal,
		"Total number of bytes received from other peer nodes")
)

// loadNetworkInternodeMetrics - reads internode network metrics.
//
// This is a `MetricsLoaderFn`.
func loadNetworkInternodeMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	connStats := globalConnStats.toServerConnStats()
	rpcStats := rest.GetRPCStats()

- In the kubelet resource metrics endpoint at /metrics/resource, change the names of the following metrics:
  - node_cpu_usage_seconds --> node_cpu_usage_seconds_total

import java.util.concurrent.ThreadFactory;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for ThreadFactoryBuilder.
 *
 * @author Kurt Alfred Kluever
 * @author Martin Buchholz
 */
@NullUnmarked
public class ThreadFactoryBuilderTest extends TestCase {
  private final Runnable monitoredRunnable =
      new Runnable() {
        @Override
        public void run() {