package monitoring

import (
	"context"

	api "go.opentelemetry.io/otel/metric"

	"istio.io/istio/pkg/log"
)

type distribution struct {
	baseMetric
	d api.Float64Histogram
	// precomputedRecordOption is just a precomputation to avoid allocations on each record call
	precomputedRecordOption []api.RecordOption
}

var _ Metric = &distribution{}

func newDistribution(o options) *distribution {

					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.

        [Sufficient.LINE_METRIC_COVERED_RATIO]               | 'line metric with covered ratio'
        [Sufficient.CLASS_METRIC_MISSED_COUNT]               | 'class metric with missed count'
        [Sufficient.LINE_METRIC_COVERED_RATIO,
         Sufficient.CLASS_METRIC_MISSED_COUNT]               | 'line and class metric'
    }

    def "can define rule with insufficient coverage for #description"() {

    "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) {

package main

import (
	"os"

	"k8s.io/component-base/cli"
	_ "k8s.io/component-base/logs/json/register"
	_ "k8s.io/component-base/metrics/prometheus/clientgo" // for client metric registration
	_ "k8s.io/component-base/metrics/prometheus/version"  // for version metric registration
	"k8s.io/kubernetes/cmd/kube-proxy/app"
)

func main() {
	command := app.NewProxyCommand()
	code := cli.Run(command)
	os.Exit(code)

func (c *OperationStartTimeCache) Has(key string) bool {
	_, exists := c.cache.Load(key)
	return exists
}

// RecordMetric records either an error count metric or a latency metric if there
// exists a start timestamp entry in the cache. For a successful operation, i.e.,
// err == nil, the corresponding timestamp entry will be removed from cache

 *
 * 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.
 */
const (
	successLabel = "success"
	failureLabel = "failure"
	errorLabel   = "error"

	//    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"