// since the watch-list is provided by the watch cache instruct
	// the reflector to issue a regular LIST against the store
	reflector.UseWatchList = ptr.To(false)

	cacher.watchCache = watchCache
	cacher.reflector = reflector

	go cacher.dispatchEvents()
	go progressRequester.Run(stopCh)

	cacher.stopWg.Add(1)
	go func() {
		defer cacher.stopWg.Done()
		defer cacher.terminateAllWatchers()
		wait.Until(

			t.Fatalf("Unexpected error: %v", err)
		}
	}

	cacher, _, err := newTestCacher(etcdStorage)
	if err != nil {
		t.Fatalf("Couldn't create cacher: %v", err)
	}
	defer cacher.Stop()

	// Given that cacher is always initialized from the "current" version of etcd,
	// we now have a cacher with an empty cache of watch events and a resourceVersion of rv.

        configurationCache.assertStateStoreFailed()
        outputContains("Configuration cache entry discarded due to serialization error.")
        failure.assertHasFailures(1)
        failure.assertHasFileName("Build file '${buildFile.absolutePath}'")
        failure.assertHasLineNumber(4)

# Cache pushes are limited to TF's CI system.
build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
# Public cache for macOS builds
build:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false

	// Added as a member to the struct to allow injection for testing.
	podStoreSynced cache.InformerSynced
	// jobStoreSynced returns true if the job store has been synced at least once.
	// Added as a member to the struct to allow injection for testing.
	jobStoreSynced cache.InformerSynced

	// A TTLCache of pod creates/deletes each rc expects to see
	expectations controller.ControllerExpectationsInterface

// by the checking result.
type PreEnqueueCheck func(pod *v1.Pod) bool

// SchedulingQueue is an interface for a queue to store pods waiting to be scheduled.
// The interface follows a pattern similar to cache.FIFO and cache.Heap and
// makes it easy to use those data structures as a SchedulingQueue.
type SchedulingQueue interface {
	framework.PodNominator
	Add(logger klog.Logger, pod *v1.Pod) error

	// A src.Int63() generates 63 random bits, enough for letterIdxMax characters!
	for i, cache, remain := n-1, src.Int63(), letterIdxMax; i >= 0; {
		if remain == 0 {
			cache, remain = src.Int63(), letterIdxMax
		}
		if idx := int(cache & letterIdxMask); idx < len(letterBytes) {
			b[i] = letterBytes[idx]
			i--
		}
		cache >>= letterIdxBits
		remain--
	}

	return *(*string)(unsafe.Pointer(&b))
}

	plugintesting "k8s.io/kubernetes/pkg/scheduler/framework/plugins/testing"
	"k8s.io/kubernetes/pkg/scheduler/framework/runtime"
	"k8s.io/kubernetes/pkg/scheduler/internal/cache"
	st "k8s.io/kubernetes/pkg/scheduler/testing"
	tf "k8s.io/kubernetes/pkg/scheduler/testing/framework"
)

var (
	extendedResourceA     = v1.ResourceName("example.com/aaa")

	proxier.OnServiceUpdate(service, nil)

}

// OnServiceSynced is called once all the initial event handlers were
// called and the state is fully propagated to local cache.
func (proxier *Proxier) OnServiceSynced() {
	proxier.mu.Lock()
	proxier.servicesSynced = true
	proxier.setInitialized(proxier.endpointSlicesSynced)
	proxier.mu.Unlock()

			if err == nil {
				cache.Info.replication = replicationConfig{
					Config:  rcfg,
					remotes: tgts,
				}
			}
		}
	}

	vcfg, _ := globalBucketVersioningSys.Get(cache.Info.Name)

	// return initialized object layer
	objAPI := newObjectLayerFn()
	// object layer not initialized, return.
	if objAPI == nil {
		return cache, errServerNotInitialized
	}