// Test various command batch limits
        int readAndXClose = config.getBatchLimit("ReadAndX.Close");
        assertTrue(readAndXClose >= 0, "ReadAndX.Close batch limit should be non-negative");

        int treeConnectCheck = config.getBatchLimit("TreeConnectAndX.CheckDirectory");
        assertTrue(treeConnectCheck >= 0, "TreeConnectAndX.CheckDirectory batch limit should be non-negative");

public abstract class AbstractListenableFutureTest extends TestCase {

  protected CountDownLatch latch;
  protected ListenableFuture<Boolean> future;

  @Override
  protected void setUp() throws Exception {

    // Create a latch and a future that waits on the latch.
    latch = new CountDownLatch(1);
    future = createListenableFuture(Boolean.TRUE, null, latch);
  }

  @Override
  protected void tearDown() throws Exception {

 *
 * <p>Here's an example that tests a {@code finalize} method:
 *
 * {@snippet :
 * final CountDownLatch latch = new CountDownLatch(1);
 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null;  // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }
 *
 * <p>Here's an example that uses a user-defined finalization predicate:
 *
 * {@snippet :

## Validierung von Zahlen: Größer oder gleich { #number-validations-greater-than-or-equal }

Mit `Query` und `Path` (und anderen, die Sie später sehen werden) können Sie Zahlenbeschränkungen deklarieren.

Hier, mit `ge=1`, muss `item_id` eine ganze Zahl sein, die „`g`reater than or `e`qual to“ (größer oder gleich) `1` ist.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

  private final CountDownLatch latch;

  public ListenableFutureTester(ListenableFuture<?> future) {
    this.exec = newCachedThreadPool();
    this.future = checkNotNull(future);
    this.latch = new CountDownLatch(1);
  }

  public void setUp() {
    future.addListener(
        new Runnable() {
          @Override
          public void run() {
            latch.countDown();
          }
        },

    /**
     * Executes and optionally caches a batch of requests using the provided supplier function.
     * This method allows for efficient batch processing of multiple requests.
     * <p>
     * The implementation may optimize the execution by:
     * <ul>
     *   <li>Returning cached results for previously executed requests</li>
     *   <li>Grouping similar requests for batch processing</li>

    CountDownLatch latch = new CountDownLatch(1);
    Object unused =
        new Object() {
          @SuppressWarnings({"removal", "Finalize"}) // b/260137033
          @Override
          protected void finalize() {
            latch.countDown();
          }
        };
    unused = null; // Hint to the JIT that unused is unreachable
    GcFinalization.await(latch);
    assertEquals(0, latch.getCount());
  }

    // thread because the task will block on the task latch after unblocking
    // the run latch.
    exec.execute(task);
    runLatch.await();
    assertEquals(1, listenerLatch.getCount());
    assertFalse(task.isDone());
    assertFalse(task.isCancelled());

    // Finish the task by unblocking the task latch.  Then wait for the
    // listener to be called by blocking on the listener latch.
    taskLatch.countDown();

      if (unsafeImpl.compare(ba3, ba4) == 0) {
        throw new Error(); // deoptimization
      }
    }
  }

  /*
  try {
    UnsignedBytesBenchmark bench = new UnsignedBytesBenchmark();
    bench.length = 1024;
    bench.setUp();
    bench.timeUnsafe(100000);
  } catch (Exception e) {
  }*/

      queue.enqueue(incrementingEvent(counters, listener, 4));
      queue.enqueue(countDownEvent(latch));
      assertEquals(0, counters.size());
      queue.dispatch();
      latch.await();
      assertEquals(multiset(listener, 4), counters);
    } finally {
      service.shutdown();
    }
  }

  public void testEnqueueAndDispatch_multithreaded_withThrowingRunnable()