Help:      "Number of pending ILM transition tasks in the queue",
		Type:      gaugeMetric,
	}
}

func getTransitionActiveTasksMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: ilmSubsystem,
		Name:      transitionActiveTasks,
		Help:      "Number of active ILM transition tasks",
		Type:      gaugeMetric,
	}
}

     *
     * Since we can't ACK settings on the current reader thread (the reader thread can't write) we
     * execute all peer settings logic on the writer thread. This relies on the fact that the
     * writer task queue won't reorder tasks; otherwise settings could be applied in the opposite
     * order than received.
     */
    fun applyAndAckSettings(
      clearPrevious: Boolean,
      settings: Settings,
    ) {

It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.

/**
 * Helper class for system-level operations and utilities.
 * This class provides methods for managing system properties, handling JSP files,
 * normalizing configurations, and other system-related tasks.
 */
public class SystemHelper {

    /**
     * Constructs a new system helper.
     */
    public SystemHelper() {
        // do nothing
    }

from rich import print

non_translated_sections = (
    f"reference{pathsep}",
    "release-notes.md",
    "fastapi-people.md",
    "external-links.md",
    "newsletter.md",
    "management-tasks.md",
    "management.md",
    "contributing.md",
)


general_prompt = """
### About literal text in this prompt

        this.listeners = new ConcurrentHashMap<>();
        this.scheduler = Executors.newScheduledThreadPool(2);
        this.rpcClient = new WitnessRpcClient(witnessServer, context);
        
        // Schedule periodic tasks
        schedulePeriodicTasks();
    }
    
    private void schedulePeriodicTasks() {
        // Heartbeat monitoring
        scheduler.scheduleAtFixedRate(this::checkHeartbeats, 30, 30, TimeUnit.SECONDS);

It is very simple and intuitive. It's designed to be easily extensible, and have modular components.

It has:

* Seriously impressive performance.
* WebSocket support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.

  - [beta] In order to preserve safety guarantees the cluster no longer force deletes pods on un-responsive nodes and users are now warned if they try to force delete pods via the CLI. ([docs](http://kubernetes.io/docs/tasks/manage-stateful-set/scale-stateful-set/)) ([kubernetes/features#119](https://github.com/kubernetes/enhancements/issues/119))
- **Auth**

   *
   * @throws RejectedExecutionException if the task cannot be scheduled for execution
   * @since 28.2
   */
  public static <O extends @Nullable Object> ListenableFuture<O> submit(
      Callable<O> callable, Executor executor) {
    TrustedListenableFutureTask<O> task = TrustedListenableFutureTask.create(callable);
    executor.execute(task);
    return task;
  }

  /**

 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *
 * <p>Certain cache configurations will result in the accrual of periodic maintenance tasks which
 * will be performed during write operations, or during occasional read operations in the absence of
 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but