import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.ArrayDeque;
import java.util.Collection;
import java.util.Deque;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Objects;
import java.util.Queue;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.ArrayDeque;
import java.util.Collection;
import java.util.Deque;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import java.util.Queue;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**

    }

    /**
     * Creates and returns a new instance of {@link ArrayBlockingQueue}.
     *
     * @param <E> the element type of {@link ArrayBlockingQueue}
     * @param capacity the queue capacity
     * @param fair whether the queue is fair
     * @return a new instance of {@link ArrayBlockingQueue}
     * @see ArrayBlockingQueue#ArrayBlockingQueue(int, boolean)
     */

///

---

Imaginez que vous êtes l'ordinateur / le programme 🤖 dans cette histoire.

Pendant que vous faites la queue, vous être simplement inactif 😴, attendant votre tour, ne faisant rien de "productif". Mais la queue est rapide car le serveur 💁 prend seulement les commandes (et ne les prépare pas), donc tout va bien.

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.util;

import java.util.Deque;
import java.util.List;
import java.util.concurrent.ConcurrentLinkedDeque;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;

      private val client = OkHttpClient()

      fun run() {
        val request = Request.Builder()
            .url("http://publicobject.com/helloworld.txt")
            .build()

        client.newCall(request).enqueue(object : Callback {
          override fun onFailure(call: Call, e: IOException) {
            e.printStackTrace()
          }

          override fun onResponse(call: Call, response: Response) {

HSPLandroidx/lifecycle/DispatchQueue;-><init>()V
HSPLandroidx/lifecycle/DispatchQueue;->canRun()Z
HSPLandroidx/lifecycle/DispatchQueue;->drainQueue()V
HSPLandroidx/lifecycle/DispatchQueue;->enqueue(Ljava/lang/Runnable;)V
HSPLandroidx/lifecycle/Lifecycle$1;-><clinit>()V
HSPLandroidx/lifecycle/Lifecycle$Event;-><clinit>()V
HSPLandroidx/lifecycle/Lifecycle$Event;-><init>(Ljava/lang/String;I)V

	return MetricDescription{
		Namespace: s3MetricNamespace,
		Subsystem: requestsSubsystem,
		Name:      waitingTotal,
		Help:      "Total number of S3 requests in the waiting queue",
		Type:      gaugeMetric,
	}
}

func getIncomingS3RequestsMD() MetricDescription {
	return MetricDescription{
		Namespace: s3MetricNamespace,
		Subsystem: requestsSubsystem,

      queue = new PriorityQueue<>(2, heapComparator);

      for (Iterator<? extends T> iterator : iterators) {
        if (iterator.hasNext()) {
          queue.add(Iterators.peekingIterator(iterator));
        }
      }
    }

    @Override
    public boolean hasNext() {
      return !queue.isEmpty();
    }

    @Override

		EventName:  eventName,
		BucketName: bucket,
		Object:     objInfo,
		UserAgent:  "Internal: [Replication]",
		Host:       globalLocalNodeName,
	})

	// re-queue failures once more - keep a retry count to avoid flooding the queue if
	// the target site is down. Leave it to scanner to catch up instead.
	if rinfos.ReplicationStatus() != replication.Completed {
		ri.OpType = replication.HealReplicationType