ReferenceEntry<Object, Object> entry = segment.getEntry(keyOne, hashOne);

        @SuppressWarnings("unchecked")
        Reference<Object> reference = (Reference<Object>) entry;
        reference.enqueue();

        map.put(keyTwo, valueTwo);
        assertThat(map.containsKey(keyOne)).isFalse();
        assertThat(map.containsValue(valueOne)).isFalse();
        assertThat(map.get(keyOne)).isNull();

        ReferenceEntry<Object, Object> entry = segment.getEntry(keyOne, hashOne);

        @SuppressWarnings("unchecked")
        Reference<Object> reference = (Reference<Object>) entry;
        reference.enqueue();

        map.put(keyTwo, valueTwo);
        assertThat(map.containsKey(keyOne)).isFalse();
        assertThat(map.containsValue(valueOne)).isFalse();
        assertThat(map.get(keyOne)).isNull();

	// or when files are being rotated.
	f *os.File

	pw *xioutil.PipeWriter
	pr *xioutil.PipeReader
}

// Write writes p into the current file, rotating if necessary.
// Write is non-blocking, if the writer's queue is not full.
// Write is blocking otherwise.
func (w *Writer) Write(p []byte) (n int, err error) {
	return w.pw.Write(p)
}

// Close closes the writer.

    </dependency>
    ```

 *  **Fix: improve parallelism of async requests.** OkHttp's Dispatcher had a
    misconfigured `ExecutorService` that limited the number of worker threads.
    If you're using `Call.enqueue()` this update should significantly improve
    request concurrency.

 *  **Fix: Lazily initialize the response cache.** This avoids strict mode
    warnings when initializing OkHttp on Android‘s main thread.

		// these could be stale buckets lying around, queue a heal
		// of such a bucket. This is needed here as we identify such
		// buckets here while listing buckets. As part of regular
		// globalBucketMetadataSys.Init() call would get a valid
		// buckets only and not the quourum lost ones like this, so
		// explicit call
		for bktName, count := range bucketsMap {
			if count < quorum {
				// Queue a bucket heal task

  timeUnit: TimeUnit,
  internal val connectionListener: ConnectionListener,
) {
  internal val keepAliveDurationNs: Long = timeUnit.toNanos(keepAliveDuration)

  private val cleanupQueue: TaskQueue = taskRunner.newQueue()
  private val cleanupTask =
    object : Task("$okHttpName ConnectionPool connection closer") {
      override fun runOnce(): Long = closeConnections(System.nanoTime())
    }

  /**

Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere auf mehreren Servern.

* **fonction** : la fonction sous le "décorateur" (sous `@app.get("/")`).

{* ../../docs_src/first_steps/tutorial001.py hl[7] *}

C'est une fonction Python.

Elle sera appelée par **FastAPI** quand une requête sur l'URL `/` sera reçue via une opération `GET`.

Ici, c'est une fonction asynchrone (définie avec `async def`).

---

Vous pourriez aussi la définir comme une fonction classique plutôt qu'avec `async def` :

 * try (Response response = call.execute()) {
 * ... // Use the response.
 * }
 * ```
 *
 * You can use a similar block for asynchronous calls:
 *
 * ```java
 * Call call = client.newCall(request);
 * call.enqueue(new Callback() {
 *   public void onResponse(Call call, Response response) throws IOException {
 *     try (ResponseBody responseBody = response.body()) {
 *     ... // Use the response.
 *     }
 *   }
 *

		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) {