Set<Object> actualValues = ImmutableSet.copyOf(map.values());
    assertEquals(expectedValues, actualValues);
  }

  /** Lookups on the map view shouldn't impact the recency queue. */
  public void testAsMapRecency() {
    CacheBuilder<Object, Object> builder =
        createCacheBuilder().concurrencyLevel(1).maximumSize(SMALL_MAX_SIZE);

		queueStore = store.NewQueueStore[event.Event](queueDir, args.QueueLimit, event.StoreExtension)
		if err := queueStore.Open(); err != nil {
			return nil, fmt.Errorf("unable to initialize the queue store of MQTT `%s`: %w", id, err)
		}
	}

	target := &MQTTTarget{
		id:         event.TargetID{ID: id, Name: "mqtt"},
		args:       args,
		store:      queueStore,
		quitCh:     make(chan struct{}),

		queueStore = store.NewQueueStore[event.Event](queueDir, args.QueueLimit, event.StoreExtension)
		if err := queueStore.Open(); err != nil {
			return nil, fmt.Errorf("unable to initialize the queue store of Redis `%s`: %w", id, err)
		}
	}

	pool := &redis.Pool{
		MaxIdle:     3,
		IdleTimeout: 2 * 60 * time.Second,
		Dial: func() (redis.Conn, error) {

///

---

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.

	apiRejectedInvalidTotalMD = NewCounterMD(apiRejectedInvalidTotal,
		"Total number of invalid requests", "type")

	apiRequestsWaitingTotalMD = NewGaugeMD(apiRequestsWaitingTotal,
		"Total number of requests in the waiting queue", "type")
	apiRequestsIncomingTotalMD = NewGaugeMD(apiRequestsIncomingTotal,
		"Total number of incoming requests", "type")

	apiRequestsInFlightTotalMD = NewGaugeMD(apiRequestsInFlightTotal,

        validate(form, messages -> {}, this::asIndexHtml);
        verifyToken(this::asIndexHtml);
        searchEngineClient.admin().indices().prepareDelete(//
                fessConfig.getIndexDocumentCrawlerIndex() + ".queue", //
                fessConfig.getIndexDocumentCrawlerIndex() + ".data", //
                fessConfig.getIndexDocumentCrawlerIndex() + ".filter")

		queueStore = store.NewQueueStore[event.Event](queueDir, args.QueueLimit, event.StoreExtension)
		if err := queueStore.Open(); err != nil {
			return nil, fmt.Errorf("unable to initialize the queue store of AMQP `%s`: %w", id, err)
		}
	}

	target := &AMQPTarget{
		id:         event.TargetID{ID: id, Name: "amqp"},
		args:       args,
		loggerOnce: loggerOnce,
		store:      queueStore,

    get-caller-file "^2.0.5"
    require-directory "^2.1.1"
    string-width "^4.2.0"
    y18n "^5.0.5"
    yargs-parser "^20.2.2"

yocto-queue@^0.1.0:
  version "0.1.0"
  resolved "https://registry.yarnpkg.com/yocto-queue/-/yocto-queue-0.1.0.tgz#0294eb3dee05028d31ee1a5fa2c556a6aaf10a1b"

#### Per-Connection Locks

Each connection has its own lock. The connections in the pool are all in a `ConcurrentLinkedQueue`. Due to data races, iterators of this queue may return removed connections. Callers must check the connection's `noNewExchanges` property before using connections from the pool.

The connection lock is never held while doing I/O (even closing a socket) to prevent contention.

          val newStream = Http2Stream(streamId, this@Http2Connection, false, inFinished, headers)
          lastGoodStreamId = streamId
          streams[streamId] = newStream

          // Use a different task queue for each stream because they should be handled in parallel.
          taskRunner.newQueue().execute("$connectionName[$streamId] onStream") {
            try {
              listener.onStream(newStream)