}
			t.Log("Client Context canceled. err state:", err)
			clientCanceled <- time.Now()
		}(t)
		start := time.Now()
		if st.Requests != nil {
			defer close(st.Requests)
		}
		// Fill up queue.
		for sendReq {
			select {
			case st.Requests <- []byte("Hello"):
				time.Sleep(10 * time.Millisecond)
			default:
				sendReq = false
			}
		}
		cancel()
		<-serverCanceled

 *  **TunnelRequest is gone.** It specified how to connect to an HTTP proxy.
    OkHttp 2 uses the new `Request` class for this.

 *  **Dispatcher** is a new class that manages the queue of asynchronous calls. It
    implements limits on total in-flight calls and in-flight calls per host.

#### Implementation changes

 * Support Android `TrafficStats` socket tagging.

Há muitos casos em que você deseja executar algumas etapas **antes de iniciar** sua aplicação.

Por exemplo, você pode querer executar **migrações de banco de dados**.

Mas na maioria dos casos, você precisará executar essas etapas apenas **uma vez**.

Portanto, você vai querer ter um **processo único** para executar essas **etapas anteriores** antes de iniciar o aplicativo.

     * Most Multimap implementations use a List or Set (or even Multiset) for their values, in which
     * case Multimap equality works as expected. Users who use a Collection type that does not
     * implement equals(), such as most Queue implementations, will get the same behavior from our
     * value-collection wrappers (and from Multimap.equals) as from the underlying Collection.
     */
    @SuppressWarnings("UndefinedEquals")

Mas você também pode explorar os benefícios do paralelismo e multiprocessamento (tendo múltiplos processadores rodando em paralelo) para trabalhos **limitados por CPU** como aqueles em sistemas de Aprendizado de Máquina.

	Name   string
	Prefix string
}

func (db decomBucketInfo) String() string {
	return pathJoin(db.Name, db.Prefix)
}

func (p *poolMeta) QueueBuckets(idx int, buckets []decomBucketInfo) {
	// add new queued buckets
	for _, bucket := range buckets {
		p.Pools[idx].Decommission.bucketPush(bucket)
	}
}

var (
	errDecommissionAlreadyRunning = errors.New("decommission is already in progress")

github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3/go.mod h1:YvSRo5mw33fLEx1+DlK6L2VV43tJt5Eyel9n9XBcR+0=
github.com/eapache/queue v1.1.0 h1:YOEu7KNc61ntiQlcEeUIoDTJ2o8mQznoNvUhiigpIqc=
github.com/eapache/queue v1.1.0/go.mod h1:6eCeP0CKFpHLu8blIFXhExK/dRa7WDZfr6jVFPTqq+I=
github.com/eclipse/paho.mqtt.golang v1.5.0 h1:EH+bUVJNgttidWFkLLVKaQPGmkTUfQQqjOsyvMGvD6o=

 *  Fix: Handle multiple 1xx responses.

 *  Fix: Address a performance bug in our internal task runner. We had a race condition that could
    result in it OkHttp starting a thread for each queued task, even when a single thread could run
    all of them.

 *  Fix: Address a performance bug in `MultipartReader`. We were scanning the entire input stream

- Sometimes, the scheduler incorrectly placed a pod in the "unschedulable" queue instead of the "backoff" queue. This happened when some plugin previously declared the pod as "unschedulable" and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the "active" queue. ([#120334](https://github.com/kubernetes/kubernetes/pull/120334), [@pohly](https://github.com/pohly))...

	}

	if !opts.Speedtest && len(versions) > 0 {
		globalMRFState.addPartialOp(PartialOperation{
			Bucket:    bucket,
			Object:    object,
			Queued:    time.Now(),
			Versions:  versions,
			SetIndex:  er.setIndex,
			PoolIndex: er.poolIndex,
		})
	}

	if !opts.Speedtest && len(versions) == 0 {