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

// ExternalMetricSource indicates how to scale on a metric not associated with
// any Kubernetes object (for example length of queue in cloud
// messaging service, or QPS from loadbalancer running outside of cluster).
message ExternalMetricSource {
  // metric identifies the target metric by name and selector
  optional MetricIdentifier metric = 1;

  // target specifies the target value for the given metric
  optional MetricTarget target = 2;
}

}

// 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

  optional MetricIdentifier metric = 3;
}

// ObjectMetricStatus indicates the current value of a metric describing a
// kubernetes object (for example, hits-per-second on an Ingress object).
message ObjectMetricStatus {
  // metric identifies the target metric by name and selector
  optional MetricIdentifier metric = 1;

  // current contains the current value for the given metric

}

// 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.Current = val - metric.Cumulative
		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current
	metric.Count++

	metric.Avg = metric.Sum / float64(metric.Count)
	subsysMetrics[key] = metric

	resourceMetricsMap[subSys] = subsysMetrics
}

	if metric.Description.Type == histogramMetric {
		if metric.Histogram == nil {
			return
		}
		for k, v := range metric.Histogram {
			pmetric, err := prometheus.NewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(string(metric.Description.Namespace),
						string(metric.Description.Subsystem),

			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

		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
)

func (mt MetricType) String() string {
	switch mt {
	case CounterMT:

			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) {