},
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

		globalTierMetrics.logFailure(tier)
	}
	metrics := globalTierMetrics.Report()
	var succ, fail float64
	for _, metric := range metrics {
		switch metric.Description.Name {
		case tierRequestsSuccess:
			succ += metric.Value
		case tierRequestsFailure:
			fail += metric.Value
		}
	}
	if int(succ) != expSuccess {
		t.Fatalf("Expected %d successes but got %f", expSuccess, succ)
	}

// Since new containers are frequently created and removed, using the Gauge would
// leak metric collectors for containers or pods that no longer exist.  Instead, implement
// custom collector in a way that only collects metrics for active containers.
func (rc *resourceMetricsCollector) CollectWithStability(ch chan<- metrics.Metric) {
	ctx := context.Background()
	var errorCount float64
	defer func() {

          },
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

	}

	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: