"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) {

	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),
	}
}

					// Next, get all matches.
					// This is a bit funky because the matches are oneof of ENUM and customer metric. We normalize
					// these to strings, so we may end up with a list like [REQUEST_COUNT, my-customer-metric].
					// TODO: we always flatten ALL_METRICS into each metric mode. For some stats providers (prometheus),
					// we are able to apply overrides to all metrics directly rather than duplicating the config.

 *
 * 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 (
	listCacheCount = compbasemetrics.NewCounterVec(
		&compbasemetrics.CounterOpts{

func TestPanicEvent(t *testing.T) {
	// Use a sync event for this because it doesn't have any extra metadata.
	ev := syncEvent(nil, 0)

	mustPanic(t, func() {
		_ = ev.Range()
	})
	mustPanic(t, func() {
		_ = ev.Metric()
	})
	mustPanic(t, func() {
		_ = ev.Log()
	})
	mustPanic(t, func() {
		_ = ev.Task()
	})
	mustPanic(t, func() {
		_ = ev.Region()
	})
	mustPanic(t, func() {
		_ = ev.Label()
	})

	if n.client != nil {
		counter, err := n.client.Get(n.counter)
		if err != nil {
			klog.ErrorS(err, "failed to collect nfacct counter", "counter", n.counter)
		} else {
			metric, err := metrics.NewConstMetric(n.description, metrics.CounterValue, float64(counter.Packets))
			if err != nil {
				klog.ErrorS(err, "failed to create constant metric")
			} else {
				ch <- metric

	for _, forwarder := range c.forwarder {
		forwarder.Close()
	}
	return nil
}

type Query struct {
	Metric      string
	Aggregation string
	Labels      map[string]string
}

func (q Query) String() string {
	query := q.Metric + `{`

	keys := []string{}
	for k := range q.Labels {
		keys = append(keys, k)
	}
	sort.Strings(keys)
	for _, k := range keys {

// (such as "allocs/op"), ReportMetric will override that metric.
// Setting "ns/op" to 0 will suppress that built-in metric.
func (b *B) ReportMetric(n float64, unit string) {
	if unit == "" {
		panic("metric unit must not be empty")
	}
	if strings.IndexFunc(unit, unicode.IsSpace) >= 0 {
		panic("metric unit must not contain whitespace")
	}
	b.extra[unit] = n
}