// metric identifies the target metric by name and selector
	Metric MetricIdentifier `json:"metric" protobuf:"bytes,1,name=metric"`

	// current contains the current value for the given metric
	Current MetricValueStatus `json:"current" protobuf:"bytes,2,name=current"`
}

// MetricValueStatus holds the current value for a metric
type MetricValueStatus struct {
	// value is the current value of the metric (as a quantity).

	r := &dto.MetricFamily{}
	r.Name = mf.Name
	r.Help = mf.Help
	r.Type = mf.Type
	r.Metric = make([]*dto.Metric, len(mf.Metric))
	for i, m := range mf.Metric {
		r.Metric[i] = deepCopyMetric(m)
	}
	return r
}

func deepCopyMetric(m *dto.Metric) *dto.Metric {
	r := &dto.Metric{}
	r.Label = make([]*dto.LabelPair, len(m.Label))
	for i, lp := range m.Label {
		r.Label[i] = deepCopyLabelPair(lp)

	// increased, and vice-versa.  See the individual metric source types for
	// more information about how each type of metric must respond.
	// +optional
	// +listType=atomic
	Metrics []MetricSpec `json:"metrics,omitempty" protobuf:"bytes,4,rep,name=metrics"`
}

// MetricSourceType indicates the type of metric.
type MetricSourceType string

const (
	// ObjectMetricSourceType is a metric describing a kubernetes object

}

// ExternalMetricStatus indicates the current value of a global metric
// not associated with any Kubernetes object.
message ExternalMetricStatus {
  // metricName is the name of a metric used for autoscaling in
  // metric system.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional

	// metric identifies the target metric by name and selector
	Metric MetricIdentifier `json:"metric" protobuf:"bytes,1,name=metric"`

	// current contains the current value for the given metric
	Current MetricValueStatus `json:"current" protobuf:"bytes,2,name=current"`
}

// MetricValueStatus holds the current value for a metric
type MetricValueStatus struct {
	// value is the current value of the metric (as a quantity).

		arg += "/"
	}
	return strings.HasPrefix(descendant, arg)
}

// MetricType - represents the type of a metric.
type MetricType int

const (
	// CounterMT - represents a counter metric.
	CounterMT MetricType = iota
	// GaugeMT - represents a gauge metric.
	GaugeMT
	// HistogramMT - represents a histogram metric.
	HistogramMT
	// rangeL - represents a range label.
	rangeL = "range"
)

	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.

 *
 * Promoting the stability level of the metric is a responsibility of the component owner, since it
 * involves explicitly acknowledging support for the metric across multiple releases, in accordance with
 * the metric stability policy.
 */
var (
	etcdRequestLatency = compbasemetrics.NewHistogramVec(
		&compbasemetrics.HistogramOpts{

)

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)
}