instructions[s] = obj.As(i)
	}
	for i, s := range ppc64.Anames {
		if obj.As(i) >= obj.A_ARCHSPECIFIC {
			instructions[s] = obj.As(i) + obj.ABasePPC64
		}
	}
	// The opcodes generated by x/arch's ppc64map are listed in
	// a separate slice, add them too.
	for i, s := range ppc64.GenAnames {
		instructions[s] = obj.As(i) + ppc64.AFIRSTGEN
	}
	// Annoying aliases.
	instructions["BR"] = ppc64.ABR

	// Keep destination...
	// Write results to disk.
	bw := newMetacacheBlockWriter(entries, func(b *metacacheBlock) error {
		// if the block is 0 bytes and its a first block skip it.
		// skip only this for Transient caches.
		if len(b.data) == 0 && b.n == 0 && o.Transient {
			return nil
		}
		o.debugln(color.Green("saveMetaCacheStream:")+" saving block", b.n, "to", o.objectPath(b.n))

// is initialized (either locally or remotely). The context_id can change during
// the process lifetime although this should cause the worker to be
// reinitialized (e.g. cleared caches) as well.
TF_CAPI_EXPORT extern uint64_t TFE_GetContextId(TFE_Context* ctx);

// -----------------------------------------------------------------------------
// Cancellation APIs.

Il offre :

- Des performances vraiment impressionnantes.
- Le support des WebSockets.
- Le support de GraphQL.
- Les tâches d'arrière-plan.
- Les événements de démarrage et d'arrêt.
- Un client de test basé sur request.
- CORS, GZip, fichiers statiques, streaming des réponses.
- Le support des sessions et des cookies.

				return err != nil, nil
			case InsufficientReadQuorum, StorageErr:
				return true, nil
			}
			return false, err
		}
		err = d.deserialize(r)
		r.Close()
		return err != nil, nil
	}

	// Caches are read+written without locks,
	retries := 0
	for retries < 5 {
		retry, err := load(name, time.Minute)
		if err != nil {
			return toObjectErr(err, dataUsageBucket, name)
		}
		if !retry {
			break

    Da der vorherige Schritt des Kopierens der Datei vom **Docker-Cache** erkannt werden konnte, wird dieser Schritt auch **den Docker-Cache verwenden**, sofern verfügbar.

    Durch die Verwendung des Caches in diesem Schritt **sparen** Sie viel **Zeit**, wenn Sie das Image während der Entwicklung immer wieder erstellen, anstatt **jedes Mal** alle Abhängigkeiten **herunterzuladen und zu installieren**.

* Update Cluster Autoscaler to 1.12.1 ([#70705](https://github.com/kubernetes/kubernetes/pull/70705), [@losipiuk](https://github.com/losipiuk))
* Improve Azure instance metadata handling by adding caches. ([#70353](https://github.com/kubernetes/kubernetes/pull/70353), [@feiskyer](https://github.com/feiskyer))

- The EndpointSlice controller now waits for EndpointSlice and Node caches to be synced before starting. ([#94086](https://github.com/kubernetes/kubernetes/pull/94086), [@robscott](https://github.com/robscott)) [SIG Apps and Network]

- Improved Azure instance metadata handling by adding caches. ([#70353](https://github.com/kubernetes/kubernetes/pull/70353), [@feiskyer](https://github.com/feiskyer))

- Added automatic download of the CNI binary in `local-up-cluster.sh`, facilitating local debugging. ([#120312](https://github.com/kubernetes/kubernetes/pull/120312), [@HirazawaUi](https://github.com/HirazawaUi))
- Added context to `caches populated` log messages. ([#119796](https://github.com/kubernetes/kubernetes/pull/119796), [@sttts](https://github.com/sttts))