MetricRotationInterval = env.Register("METRIC_ROTATION_INTERVAL", 0*time.Second,
		"Metric scope rotation interval, set to 0 to disable the metric scope rotation").Get()
	MetricGracefulDeletionInterval = env.Register("METRIC_GRACEFUL_DELETION_INTERVAL", 5*time.Minute,
		"Metric expiry graceful deletion interval. No-op if METRIC_ROTATION_INTERVAL is disabled.").Get()

					return cmp.Compare(a, b)
				})
			}
		})

		// NOTE: Report each metric once, after all of the parallel
		// calls have completed.

		// This metric is per-operation, so divide by b.N and
		// report it as a "/op" unit.
		b.ReportMetric(float64(compares.Load())/float64(b.N), "compares/op")
		// This metric is per-time, so divide by b.Elapsed and
		// report it as a "/ns" unit.

    "Track success/failure of MLIR graph optimization pass runs when fallback "
    "used",
    /* metric field */ "status");

auto* mlir_function_pass_graph_conversion_count = monitoring::Counter<1>::New(
    /* metric name */
    "/tensorflow/core/mlir_function_pass_graph_conversion_count",
    /* metric description */
    "Track success/failure of Graph to MLIR conversions in function "
    "optimization pass",

			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) {

	//    client -------> Hits listener 0.0.0.0_80 cluster
	//    Metric is istio_requests_total i.e. HTTP
	//
	// 2. https case:
	//    client ----> Hits no listener -> 0.0.0.0_150001 -> ALLOW_ANY/REGISTRY_ONLY
	//    Metric is istio_tcp_connections_closed_total i.e. TCP
	//
	// 3. https conflict case:
	//    client ----> Hits listener 0.0.0.0_9443
	//    Metric is istio_tcp_connections_closed_total i.e. TCP
	//
	// 4. http_egress

	if id == 0 {
		return NoStack
	}
	return Stack{table: e.table, id: id}
}

// Metric returns details about a Metric event.
//
// Panics if Kind != EventMetric.
func (e Event) Metric() Metric {
	if e.Kind() != EventMetric {
		panic("Metric called on non-Metric event")
	}
	var m Metric
	switch e.base.typ {
	case go122.EvProcsChange:
		m.Name = "/sched/gomaxprocs:threads"

	prometheus.MustRegister(minioVersionInfo)
}

// newMinioCollector describes the collector
// and returns reference of minioCollector
// It creates the Prometheus Description which is used
// to define metric and  help string
func newMinioCollector() *minioCollector {
	return &minioCollector{
		desc: prometheus.NewDesc("minio_stats", "Statistics exposed by MinIO server", nil, nil),
	}
}

			Help:           "Number of errors when kubelet cannot compute SELinux context for a container. Kubelet can't start such a Pod then and it will retry, therefore value of this metric may not represent the actual nr. of containers.",
			StabilityLevel: compbasemetrics.ALPHA,
		},
		[]string{"access_mode"},
	)
	seLinuxContainerContextWarnings = compbasemetrics.NewGaugeVec(
		&compbasemetrics.GaugeOpts{

      monitoring::testing::CellReader<int64_t>(
          /* metric name */
          "/tensorflow/core/mlir_function_pass_fallback_count");
  monitoring::testing::CellReader<int64_t>
      mlir_graph_optimization_pass_fallback_count_ =
          monitoring::testing::CellReader<int64_t>(
              /* metric name */
              "/tensorflow/core/mlir_graph_optimization_pass_fallback_count");

	xdsClientTracker[version] += delta
	xdsClients.With(versionTag.Value(version)).Record(xdsClientTracker[version])
}

// triggerMetric is a precomputed monitoring.Metric for each trigger type. This saves on a lot of allocations
var triggerMetric = map[model.TriggerReason]monitoring.Metric{
	model.EndpointUpdate:  pushTriggers.With(typeTag.Value(string(model.EndpointUpdate))),