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

func (m *MetricsTest) Metrics() []Metric {
	m.t.Helper()
	res, err := m.reg.Gather()
	if err != nil {
		m.t.Fatal(err)
	}
	metrics := []Metric{}
	for _, metric := range res {
		if len(metric.Metric) == 0 {
			m.t.Logf("%v: no rows", *metric.Name)
		}
		for _, row := range metric.Metric {
			m := Metric{Name: *metric.Name, Labels: map[string]string{}, Value: display(row)}

	for name, def := range d.known {
		if def.Bounds == nil {
			continue
		}
		// for each histogram metric (i.e. those with bounds), set up a view explicitly defining those buckets.
		v := metric.WithView(metric.NewView(
			metric.Instrument{Name: name},
			metric.Stream{Aggregation: metric.AggregationExplicitBucketHistogram{
				Boundaries: def.Bounds,
			}},
		))
		opts = append(opts, v)
	}
	return opts

	return v.kind
}

// Uint64 returns the internal uint64 value for the metric.
//
// If v.Kind() != KindUint64, this method panics.
func (v Value) Uint64() uint64 {
	if v.kind != KindUint64 {
		panic("called Uint64 on non-uint64 metric value")
	}
	return v.scalar
}

// Float64 returns the internal float64 value for the metric.
//
// If v.Kind() != KindFloat64, this method panics.

)

type instrumentedFilterPlugin struct {
	framework.FilterPlugin

	metric compbasemetrics.CounterMetric
}

var _ framework.FilterPlugin = &instrumentedFilterPlugin{}

func (p *instrumentedFilterPlugin) Filter(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeInfo *framework.NodeInfo) *framework.Status {
	p.metric.Inc()
	return p.FilterPlugin.Filter(ctx, state, pod, nodeInfo)
}

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

  - 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:

	return vMetrics
}

func expectedFSStats() kubestats.FsStats {
	metric := expectedMetrics()
	available := uint64(metric.Available.Value())
	capacity := uint64(metric.Capacity.Value())
	used := uint64(metric.Used.Value())
	inodes := uint64(metric.Inodes.Value())
	inodesFree := uint64(metric.InodesFree.Value())
	inodesUsed := uint64(metric.InodesUsed.Value())
	return kubestats.FsStats{
		AvailableBytes: &available,

		ObjectMeta: metav1.ObjectMeta{
			Name:      "metric-test-pod",
			UID:       "metric-test-pod-uid",
			Namespace: "metric-test",
		},
		Spec: v1.PodSpec{
			NodeName: "metric-test-host",
			Volumes: []v1.Volume{
				{
					Name: "metric-test-volume-name",
					VolumeSource: v1.VolumeSource{
						PersistentVolumeClaim: &v1.PersistentVolumeClaimVolumeSource{
							ClaimName: "metric-test-pvc",
						},
					},
				},
			},

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