"k8s.io/klog/v2"
	utilsclock "k8s.io/utils/clock"
)

// PriorityAndFairnessClassification identifies the results of
// classification for API Priority and Fairness
type PriorityAndFairnessClassification struct {
	FlowSchemaName    string
	FlowSchemaUID     apitypes.UID
	PriorityLevelName string
	PriorityLevelUID  apitypes.UID
}

// to priority and fairness dispatcher.
func initializationSignalFrom(ctx context.Context) (InitializationSignal, bool) {
	signal, ok := ctx.Value(priorityAndFairnessInitializationSignalKey).(InitializationSignal)
	return signal, ok && signal != nil
}

// WatchInitialized sends a signal to priority and fairness dispatcher
// that a given watch request has already been initialized.

		&compbasemetrics.CounterOpts{
			Namespace:      namespace,
			Subsystem:      subsystem,
			Name:           "rejected_requests_total",
			Help:           "Number of requests rejected by API Priority and Fairness subsystem",
			StabilityLevel: compbasemetrics.BETA,
		},
		[]string{priorityLevel, flowSchema, "reason"},
	)
	apiserverDispatchedRequestsTotal = compbasemetrics.NewCounterVec(
		&compbasemetrics.CounterOpts{

	klog.Info("Starting API Priority and Fairness config controller")
	if ok := cache.WaitForCacheSync(stopCh, cfgCtlr.plInformerSynced, cfgCtlr.fsInformerSynced); !ok {
		return fmt.Errorf("Never achieved initial sync")
	}

	klog.Info("Running API Priority and Fairness config worker")
	go wait.Until(cfgCtlr.runWorker, time.Second, stopCh)

	klog.Info("Running API Priority and Fairness periodic rebalancing process")

		"Use an unprotected (no authn/authz) unix-domain socket for profiling with the given path")
	fs.BoolVar(&o.EnablePriorityAndFairness, "enable-priority-and-fairness", o.EnablePriorityAndFairness, ""+
		"If true, replace the max-in-flight handler with an enhanced one that queues and dispatches with priority and fairness")
}

func (o *FeatureOptions) ApplyTo(c *server.Config, clientset kubernetes.Interface, informers informers.SharedInformerFactory) error {

)

// ConfigConsumerAsFieldManager is how the config consuminng
// controller appears in an ObjectMeta ManagedFieldsEntry.Manager
const ConfigConsumerAsFieldManager = "api-priority-and-fairness-config-consumer-v1"

// Interface defines how the API Priority and Fairness filter interacts with the underlying system.
type Interface interface {
	// Handle takes care of queuing and dispatching a request

// NewAPFScheme constructs and returns a Scheme configured to handle
// the API object types that are used to configure API Priority and
// Fairness
func NewAPFScheme() *runtime.Scheme {
	scheme := runtime.NewScheme()
	install.Install(scheme)
	return scheme
}

func internalizeFSes(exts []*flowcontrolv1.FlowSchema) map[string]*flowcontrol.FlowSchema {

			t.Errorf("expected validate duration: %q, but got: %q", tc.MaxDuration, wd.ValidatingWebhookTracker.GetLatency())
		}

		if wd.APFQueueWaitTracker.GetLatency() != tc.MaxDuration {
			t.Errorf("expected priority & fairness duration: %q, but got: %q", tc.MaxDuration, wd.APFQueueWaitTracker.GetLatency())
		}
	})

import org.gradle.test.fixtures.file.TestFile
import org.gradle.util.internal.GFileUtils

/**
 * Gradle's performance slightly depends on the length of the Gradle home path. This
 * class ensures fairness between the version under development and the baseline versions,
 * which live at different depth inside the Gradle repository.
 */
@CompileStatic
class PerformanceTestGradleDistribution implements GradleDistribution {

	NewForLabelValuesSafe(initialNumerator, initialDenominator float64, labelValues []string) RatioedGauge
}

//////////////////////////////// Pairs ////////////////////////////////
//
// API Priority and Fairness tends to use RatioedGaugeVec members in pairs,
// one for requests waiting in a queue and one for requests being executed.
// The following definitions are a convenience layer that adds support for that