///

---

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.

 * `dnsStart(call, domainName)` → `dnsEnd(call, domainName, inetAddressList)`.
 *
 * Events are typically nested with this structure:
 *
 *  * call ([callStart], [callEnd], [callFailed])
 *    * dispatcher queue ([dispatcherQueueStart], [dispatcherQueueEnd])
 *    * proxy selection ([proxySelectStart], [proxySelectEnd])
 *    * dns ([dnsStart], [dnsEnd])
 *    * connect ([connectStart], [connectEnd], [connectFailed])

#### 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.

                return true;
            }
        }
        return false;
    }

    /**
     * Processes the result data and stores it along with child URLs.
     *
     * @param urlQueue the URL queue entry
     * @param responseData the response data
     * @param resultData the result data
     */
    protected void processResult(final UrlQueue<?> urlQueue, final ResponseData responseData, final ResultData resultData) {

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

  /** 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);

          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)

    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"

		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 MySQL `%s`: %w", id, err)
		}
	}

	if args.DSN == "" {
		config := mysql.Config{
			User:                 args.User,
			Passwd:               args.Password,
			Net:                  "tcp",

		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

     *
     * <ol>
     *   <li>Update the {@link #servicesByState()}
     *   <li>Update the {@link #startupTimers}
     *   <li>Based on the new state queue listeners to run
     *   <li>Run the listeners (outside of the lock)
     * </ol>
     */
    void transitionService(Service service, State from, State to) {
      checkNotNull(service);