// Schedule periodic health checks
        scheduler.scheduleAtFixedRate(this::performHealthCheck, 10, 10, TimeUnit.SECONDS);

        // Schedule interface discovery
        scheduler.scheduleAtFixedRate(this::discoverInterfaces, 0, 30, TimeUnit.SECONDS);
    }

    /**
     * Initialize multi-channel support
     *
     * @throws IOException if initialization fails
     */

    private static final int DEFAULT_HEALTH_CHECK_INTERVAL = 60000; // 1 minute in ms
    private static final int DEFAULT_PROACTIVE_CHECK_INTERVAL = 30000; // 30 seconds in ms
    private int maxPoolSize = DEFAULT_MAX_POOL_SIZE;
    private int maxIdleTime = DEFAULT_MAX_IDLE_TIME;
    private int healthCheckInterval = DEFAULT_HEALTH_CHECK_INTERVAL;

  }

  @Override
  public final int size() {
    return Ints.saturatedCast(size);
  }

  /**
   * @serialData the number of distinct elements, the first element, its count, the second element,
   *     its count, and so on
   */
  @GwtIncompatible
  @J2ktIncompatible
    private void writeObject(ObjectOutputStream stream) throws IOException {
    stream.defaultWriteObject();

* `datetime.timedelta` :
    * Un `datetime.timedelta` Python.
    * Dans les requêtes et les réponses, il sera représenté sous forme de `float` de secondes totales.

    val executor =
      ThreadPoolExecutor(
        // corePoolSize:
        0,
        // maximumPoolSize:
        Int.MAX_VALUE,
        // keepAliveTime:
        60L,
        TimeUnit.SECONDS,
        SynchronousQueue(),
        threadFactory,
      )

    override fun nanoTime() = System.nanoTime()

    override fun coordinatorNotify(taskRunner: TaskRunner) {
      taskRunner.notify()

### Performance
- Use batch operations for indexing (100-500 items)
- Don't call `refresh()` too frequently
- Limit `maxReadingNum` to prevent memory issues
- OpenSearch auto-refreshes every 1 second by default

### Compatibility
- Designed for OpenSearch 2.x+
- All text processing uses UTF-8

      sneakyThrow(exception);
    }
  }

  /**
   * Returns a {@link Stream} containing the elements of the first stream, followed by the elements
   * of the second stream, and so on.
   *
   * <p>This is equivalent to {@code Stream.of(streams).flatMap(stream -> stream)}, but the returned
   * stream may perform better.
   *
   * @see Stream#concat(Stream, Stream)
   */

        Map<String, Object> dataMap = new HashMap<>();

        // First addition
        transformer.putResultDataBody(dataMap, "tags", "tag1");

        // Second addition with array
        String[] tags2 = new String[] { "tag2", "tag3" };
        transformer.putResultDataBody(dataMap, "tags", tags2);

        // Third addition with another array

    Serialization.writeMultiset(this, stream);
  }

  /**
   * @serialData the {@code Class<E>} for the enum type, the number of distinct elements, the first
   *     element, its count, the second element, its count, and so on
   */
  @GwtIncompatible // java.io.ObjectInputStream
  private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();

                    }
                });
            }

            executor.shutdown();
            assertTrue(executor.awaitTermination(30, TimeUnit.SECONDS), "All threads should complete within timeout");

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {