},
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

  - containerResource:
      container: containerValue
      name: nameValue
      target:
        averageUtilization: 4
        averageValue: "0"
        type: typeValue
        value: "0"
    external:
      metric:
        name: nameValue
        selector:
          matchExpressions:
          - key: keyValue
            operator: operatorValue
            values:
            - valuesValue
          matchLabels:

  - containerResource:
      container: containerValue
      name: nameValue
      target:
        averageUtilization: 4
        averageValue: "0"
        type: typeValue
        value: "0"
    external:
      metric:
        name: nameValue
        selector:
          matchExpressions:
          - key: keyValue
            operator: operatorValue
            values:
            - valuesValue
          matchLabels:

						Metric: tpb.MetricSelector_ALL_METRICS,
					},
					Mode: tpb.WorkloadMode_SERVER,
				},
				Disabled: &wrappers.BoolValue{Value: true},
			},
			{
				Match: &tpb.MetricSelector{
					MetricMatch: &tpb.MetricSelector_Metric{
						Metric: tpb.MetricSelector_REQUEST_COUNT,
					},
					Mode: tpb.WorkloadMode_CLIENT,
				},
				TagOverrides: map[string]*tpb.MetricsOverrides_TagOverride{

			for _, metric := range metrics {
				t.NewSubTestf(metric).Run(func(t framework.TestContext) {
					t.Cleanup(func() {
						if t.Failed() {
							util.PromDump(t.Clusters().Default(), promInst, prometheus.Query{Metric: metric})
						}
						grpcSourceQuery := buildGRPCQuery(metric)
						cluster := t.Clusters().Default()

	_ "runtime" // depends on the runtime via a linkname'd function
	"unsafe"
)

// Sample captures a single metric sample.
type Sample struct {
	// Name is the name of the metric sampled.
	//
	// It must correspond to a name in one of the metric descriptions
	// returned by All.
	Name string

	// Value is the value of the metric sample.
	Value Value
}

// Implemented in the runtime.

	// If a metric really requires `metric{} 0`, they can explicitly call .Record(0).
	if f.currentGaugeSet == nil {
		f.currentGaugeSet = &gaugeValues{}
		f.attributeSets[attribute.NewSet()] = f.currentGaugeSet
	}
	f.currentGaugeSet.val = value
	f.attributeSetsMutex.Unlock()
}

func (f *gauge) With(labelValues ...LabelValue) Metric {
	attrs, set := rebuildAttributes(f.baseMetric, labelValues)

// Returns "/tensorflow/core/saved_model/write/count" cell. This metric
// has 1 field "write_version", which is equal to the
// `tensorflow::libexport::GetWriteVersion` of the protobuf and should be
// incremented when a SavedModel has been successfully written.
monitoring::CounterCell& SavedModelWriteCount(absl::string_view write_version);

// Returns "/tensorflow/core/saved_model/read/count" cell. This metric
// has 1 field "write_version", which is equal to the

Each metric key also has a "kind" (see [ValueKind]) that describes the format of the
metric's value.
In the interest of not breaking users of this package, the "kind" for a given metric
is guaranteed not to change. If it must change, then a new metric will be introduced
with a new key and a new "kind."

# Metric key format

As mentioned earlier, metric keys are strings. Their format is simple and well-defined,

					// Ignore sample if pod is unready or one window of metric wasn't collected since last state transition.
					unready = condition.Status == v1.ConditionFalse || metric.Timestamp.Before(condition.LastTransitionTime.Time.Add(metric.Window))
				} else {
					// Ignore metric if pod is unready and it has never been ready.