assertTrue(ArbitraryInstances.get(ConcurrentMap.class).isEmpty());
    assertTrue(ArbitraryInstances.get(ConcurrentNavigableMap.class).isEmpty());
    ArbitraryInstances.get(Executor.class).execute(ArbitraryInstances.get(Runnable.class));
    assertThat(ArbitraryInstances.get(ThreadFactory.class)).isNotNull();
    assertFreshInstanceReturned(
        BlockingQueue.class,
        BlockingDeque.class,

                    break;
                }

                if (activeCrawlerNum < multiprocessCrawlingCount) {
                    // start crawling
                    crawlerList.get(startedCrawlerNum).execute();
                    crawlerStatusList.set(startedCrawlerNum, Constants.RUNNING);
                    startedCrawlerNum++;
                    activeCrawlerNum++;

If the effect of an atomic operation <i>A</i> is observed by atomic operation <i>B</i>,
then <i>A</i> is synchronized before <i>B</i>.
All the atomic operations executed in a program behave as though executed
in some sequentially consistent order.
</p>

<p>
The preceding definition has the same semantics as C++’s sequentially consistent atomics
and Java’s <code>volatile</code> variables.
</p>

        try {
            final Query query = getQueryParser().parse(queryContext.getQueryString());
            final QueryBuilder queryBuilder = ComponentUtil.getQueryProcessor().execute(queryContext, query, 1.0f);
            if (queryBuilder != null) {
                queryContext.setQueryBuilder(queryBuilder);
            } else {
                queryContext.setQueryBuilder(QueryBuilders.matchAllQuery());

        return new Thread(r);
      }
    }

    @Keep
    public static final class DummyExecutor implements Executor, Serializable {
      @Override
      public void execute(Runnable command) {}
    }
  }

  private static final class NullByteSink extends ByteSink implements Serializable {
    private static final NullByteSink INSTANCE = new NullByteSink();

    @Override

 * <p>As an example, imagine that we have a list of tasks to execute, but we don't want to submit
 * more than 2 per second:
 *
 * {@snippet :
 * final RateLimiter rateLimiter = RateLimiter.create(2.0); // rate is "2 permits per second"
 * void submitTasks(List<Runnable> tasks, Executor executor) {
 *   for (Runnable task : tasks) {
 *     rateLimiter.acquire(); // may wait
 *     executor.execute(task);
 *   }
 * }
 * }
 *

            request.setOffset(8192L);
            request.setMinimumCount(512);
            request.setRemainingBytes(1024);

            byte[] buffer = new byte[256];

            // Execute
            int bytesWritten = request.writeBytesWireFormat(buffer, 0);

            // Verify structure
            assertEquals(49, SMBUtil.readInt2(buffer, 0)); // Structure size

HSPLokhttp3/internal/concurrent/TaskQueue$execute$1;-><init>(Ljava/lang/String;ZLkotlin/jvm/functions/Function0;)V
HSPLokhttp3/internal/concurrent/TaskQueue$execute$1;->runOnce()J
HSPLokhttp3/internal/concurrent/TaskQueue;-><init>(Lokhttp3/internal/concurrent/TaskRunner;Ljava/lang/String;)V
HSPLokhttp3/internal/concurrent/TaskQueue;->cancelAllAndDecide$okhttp()Z

Vous pouvez définir une logique (du code) qui doit être exécutée avant que l'application ne **démarre**. Cela signifie que ce code sera exécuté **une seule fois**, **avant** que l'application ne **commence à recevoir des requêtes**.

        return new Thread(r);
      }
    }

    @Keep
    public static final class DummyExecutor implements Executor, Serializable {
      @Override
      public void execute(Runnable command) {}
    }
  }

  private static final class NullByteSink extends ByteSink implements Serializable {
    private static final NullByteSink INSTANCE = new NullByteSink();

    @Override