}
        } finally {
            lock.writeLock().unlock();
        }
    }

    /**
     * Shuts down the persistent handle manager and its background tasks
     */
    public void shutdown() {
        shutdown = true;
        scheduler.shutdown();
    }

		task.opts = *source.opts
	} else {
		task.opts.ScanMode = madmin.HealNormalScan
	}

	h.countScanned(healType)

	if source.noWait {
		select {
		case globalBackgroundHealRoutine.tasks <- task:
			if serverDebugLog {
				fmt.Printf("Task in the queue: %#v\n", task)
			}
		default:
			// task queue is full, no more workers, we shall move on and heal later.
			return nil
		}

# /---------------------------------------------------------------------------
# basicInfoMap: (Required)
#
# The basic information for the tasks of DBFlute.
# You should specify before your first generating.
#
# Core Properties:
# o database: (Required)
# o targetLanguage: (Required)
# o targetContainer: (Required)
# o packageBase: (Required)
#
# Adjustment Properties:

 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing
 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a

              }
            },
            directExecutor()));
    thingToCancel[0] = serializer.submit(Callables.returning(null), directExecutor());
    results.add(thingToCancel[0]);
    // Enqueue more than enough tasks to force reentrancy.
    for (int i = 0; i < 5; i++) {
      results.add(serializer.submit(Callables.returning(null), directExecutor()));
    }

    manualExecutorTask[0].run();

There's a lot of work to do, and for most of it, **YOU** can do it.

The main tasks that you can do right now are:

* [Help others with questions in GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).

Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.

	}

	expiryWorker := func(wg *sync.WaitGroup, readyCh chan<- struct{}, taskCh <-chan expiryOp, gotExpired *[]ObjectToDelete) {
		defer wg.Done()
		// signal the calling goroutine that the worker is ready tor receive tasks
		close(readyCh)
		var expired []ObjectToDelete
		for t := range taskCh {
			switch v := t.(type) {
			case noncurrentVersionsTask:
				expired = append(expired, v.versions...)
			case expiryTask:

* Le support des **WebSockets**.
* Le support de **GraphQL**.
* Les <abbr title="En anglais: In-process background tasks">tâches d'arrière-plan.</abbr>
* Des évènements de démarrages et d'arrêt.
* Un client de test basé sur `request`
* **CORS**, GZip, Static Files, Streaming responses.
* Le support des **Sessions et Cookies**.

            SECONDS,
            new ArrayBlockingQueue<Runnable>(1000));
    executorService.prestartAllCoreThreads();
    AtomicInteger integer = new AtomicInteger();
    // Execute a bunch of tasks to ensure that our threads are allocated and hot
    for (int i = 0; i < NUM_THREADS * 10; i++) {
      @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored

        writeElastisearchJsonApi(zos, id, "nodes", "_all");
        writeElastisearchJsonApi(zos, id, "nodes", "usage");
        writeElastisearchJsonApi(zos, id, "remote", "info");
        writeElastisearchJsonApi(zos, id, "tasks", "");
        writeElastisearchJsonApi(zos, id, "nodes", "hot_threads");
    }

    /**
     * Writes a specific OpenSearch API response to the ZIP output stream.
     *