// Reduce default interval to minimize test execution time
        dataIndexHelper.setCrawlingExecutionInterval(1L); // 1ms instead of 5000ms
    }

    private void setupMockComponents() {
        // Lightweight mock CrawlingConfigHelper
        ComponentUtil.register(new CrawlingConfigHelper() {
            @Override
            public List<DataConfig> getAllDataConfigList() {

   * logged.
   *
   * @param listener the listener to run when the service changes state is complete
   * @param executor the executor in which the listeners callback methods will be run. For fast,
   *     lightweight listeners that would be safe to execute in any thread, consider {@link
   *     MoreExecutors#directExecutor}.
   * @since 13.0
   */
  void addListener(Listener listener, Executor executor);

  /**

 *
 * @author Colin Decker
 */
final class SubscriberRegistry {

  /**
   * All registered subscribers, indexed by event type.
   *
   * <p>The {@link CopyOnWriteArraySet} values make it easy and relatively lightweight to get an
   * immutable snapshot of all current subscribers to an event without any locking.
   */
  private final ConcurrentMap<Class<?>, CopyOnWriteArraySet<Subscriber>> subscribers =
      Maps.newConcurrentMap();

        assertFalse(emptyIterator.hasNext(), "Final hasNext check");
        assertNull(emptyIterator.next(), "Final next call");
    }

    @Test
    @DisplayName("EmptyIterator should be lightweight and efficient")
    void testPerformanceCharacteristics() {
        // When - create many instances quickly
        long startTime = System.currentTimeMillis();

        for (int i = 0; i < 10000; i++) {

Containers (mainly Linux containers) are a very **lightweight** way to package applications including all their dependencies and necessary files while keeping them isolated from other containers (other applications or components) in the same system.

**FastAPI** then takes that JSON Schema data and puts it in OpenAPI, apart from all the other things it does.

///

### [Starlette](https://www.starlette.dev/) { #starlette }

Starlette is a lightweight <dfn title="The new standard for building asynchronous Python web applications">ASGI</dfn> framework/toolkit, which is ideal for building high-performance asyncio services.

  /**
   * Returns an {@link Executor} that runs each task in the thread that invokes {@link
   * Executor#execute execute}, as in {@link CallerRunsPolicy}.
   *
   * <p>This executor is appropriate for tasks that are lightweight and not deeply chained.
   * Inappropriate {@code directExecutor} usage can cause problems, and these problems can be
   * difficult to reproduce because they depend on timing. For example:
   *
   * <ul>

   * <p>If {@link #interruptTask} is also run during completion, {@link #afterDone} runs after it.
   *
   * <p>The default implementation of this method in {@code AbstractFuture} does nothing. This is
   * intended for very lightweight cleanup work, for example, timing statistics or clearing fields.
   * If your task does anything heavier consider, just using a listener with an executor.
   *
   * @since 20.0
   */
  @ForOverride