}

	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

type monitoringMetrics struct {
	CSR               monitoring.Metric
	AuthnError        monitoring.Metric
	Success           monitoring.Metric
	CSRError          monitoring.Metric
	IDExtractionError monitoring.Metric
	certSignErrors    monitoring.Metric
}

// newMonitoringMetrics creates a new monitoringMetrics.
func newMonitoringMetrics() monitoringMetrics {

	allErrs = append(allErrs, validateMetricIdentifier(src.Metric, fldPath.Child("metric"))...)
	allErrs = append(allErrs, validateMetricTarget(src.Target, fldPath.Child("target"))...)

	if src.Target.Value == nil && src.Target.AverageValue == nil {
		allErrs = append(allErrs, field.Required(fldPath.Child("target").Child("averageValue"), "must set either a target value for metric or a per-pod target"))
	}

		}
		*status = autoscalingv2.MetricStatus{
			Type: autoscalingv2.ObjectMetricSourceType,
			Object: &autoscalingv2.ObjectMetricStatus{
				Metric: autoscalingv2.MetricIdentifier{
					Name:     metricSpec.Object.Metric.Name,
					Selector: metricSpec.Object.Metric.Selector,
				},
				Current: autoscalingv2.MetricValueStatus{

					Pods: &autoscaling.PodsMetricSource{
						Metric: autoscaling.MetricIdentifier{},
						Target: autoscaling.MetricTarget{
							Type:         autoscaling.ValueMetricType,
							AverageValue: resource.NewMilliQuantity(100, resource.DecimalSI),
						},
					},
				}},
			},
		},
		msg: "must specify a metric name",
	}, {

  - containerResource:
      container: containerValue
      name: nameValue
      target:
        averageUtilization: 4
        averageValue: "0"
        type: typeValue
        value: "0"
    external:
      metric:
        name: nameValue
        selector:
          matchExpressions:
          - key: keyValue
            operator: operatorValue
            values:
            - valuesValue
          matchLabels:

			for _, metric := range metrics {
				t.NewSubTestf(metric).Run(func(t framework.TestContext) {
					t.Cleanup(func() {
						if t.Failed() {
							util.PromDump(t.Clusters().Default(), promInst, prometheus.Query{Metric: metric})
						}
						grpcSourceQuery := buildGRPCQuery(metric)
						cluster := t.Clusters().Default()

Each metric key also has a "kind" (see [ValueKind]) that describes the format of the
metric's value.
In the interest of not breaking users of this package, the "kind" for a given metric
is guaranteed not to change. If it must change, then a new metric will be introduced
with a new key and a new "kind."

# Metric key format

As mentioned earlier, metric keys are strings. Their format is simple and well-defined,

		err          error
		netlinkCalls int
	}{
		{
			name:        "valid",
			counterName: "metric-1",
			handler:     &fakeHandler{},
			// expected calls: NFNL_MSG_ACCT_NEW
			netlinkCalls: 1,
		},
		{
			name:        "add duplicate counter",
			counterName: "metric-2",
			handler: &fakeHandler{
				errs: []error{syscall.EBUSY},
			},
			err: ErrObjectAlreadyExists,

		})
		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(