if err != nil {
		return false, err
	}

	return target.client.ping(ctx, target.args)
}

// Save - saves the events to the store if queuestore is configured, which will be replayed when the elasticsearch connection is active.
func (target *ElasticsearchTarget) Save(eventData event.Event) error {
	if target.store != nil {
		_, err := target.store.Put(eventData)
		return err
	}

    assertThat(keySet).containsExactly(1, 3, 6, 8);

    // get fails to save 1, put saves 3
    cache.asMap().put(3, -3);
    getAll(cache, asList(1));
    CacheTesting.drainRecencyQueues(cache);
    ticker.advance(1, MILLISECONDS);
    assertThat(keySet).containsExactly(6, 8, 3);

    // get(K, Callable) fails to save 8, replace saves 6
    cache.asMap().replace(6, -6);

Downloading and installing the package dependencies **could take minutes**, but using the **cache** would **take seconds** at most.

And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.

---

FastAPI es un framework web moderno, rápido (de alto rendimiento), para construir APIs con Python basado en las anotaciones de tipos estándar de Python.

Las funcionalidades clave son:

* **Rápido**: Muy alto rendimiento, a la par con **NodeJS** y **Go** (gracias a Starlette y Pydantic). [Uno de los frameworks Python más rápidos disponibles](#performance).

        problems.setSource("");

        userSettings = interpolate(userSettings, request, problems);

        // for the special case of a drive-relative Windows path, make sure it's absolute to save plugins from trouble
        String localRepository = userSettings.getLocalRepository();
        if (localRepository != null && !localRepository.isEmpty()) {
            File file = new File(localRepository);

    private PrintStream originalErr;
    private ByteArrayOutputStream testOutput;
    private PrintStream testStream;
    private int originalLevel;

    @BeforeEach
    void setUp() throws Exception {
        // Save original state
        originalErr = System.err;
        originalLevel = LogStream.level;

        // Create test stream
        testOutput = new ByteArrayOutputStream();
        testStream = new PrintStream(testOutput);

 * A set of tasks that are executed in sequential order.
 *
 * Work within queues is not concurrent. This is equivalent to each queue having a dedicated thread
 * for its work; in practice a set of queues may share a set of threads to save resources.
 */
class TaskQueue internal constructor(
  internal val taskRunner: TaskRunner,
  internal val name: String,
) {
  internal var shutdown = false

        blocker = (Blocker) state;
      }
      spinCount++;
      if (spinCount > MAX_BUSY_WAIT_SPINS) {
        /*
         * If we have spun a lot, just park ourselves. This will save CPU while we wait for a slow
         * interrupting thread. In theory, interruptTask() should be very fast, but due to
         * InterruptibleChannel and JavaLangAccess.blockedOn(Thread, Interruptible), it isn't

/**
 * Tests for NtlmPasswordAuthentication class.
 */
class NtlmPasswordAuthenticationTest {

    private static String originalLmCompatibility;

    @BeforeAll
    static void setUpClass() {
        // Save original property
        originalLmCompatibility = System.getProperty("jcifs.smb1.smb.lmCompatibility");
        // Set default for tests
        jcifs.smb1.Config.setProperty("jcifs.smb1.smb.lmCompatibility", "3");
    }

	m.wg.Add(1)
	defer m.wg.Done()

	if atomic.LoadInt32(&m.closing) == 1 {
		return
	}

	select {
	case m.opCh <- op:
	default:
	}
}

// Do not accept new MRF operations anymore and start to save
// the current heal status in one available disk
func (m *mrfState) shutdown() {
	atomic.StoreInt32(&m.closing, 1)
	m.wg.Wait()
	close(m.opCh)
	atomic.StoreInt32(&m.closed, 1)

	if len(m.opCh) > 0 {