return loadSync(key, hash, loadingValueReference, loader);
          }
        } finally {
          statsCounter.recordMisses(1);
        }
      } else {
        // The entry already exists. Wait for loading.
        return waitForLoadingValue(e, key, valueReference);
      }
    }

    V waitForLoadingValue(ReferenceEntry<K, V> e, K key, ValueReference<K, V> valueReference)

      }
      barrier.await(); // release the threads!
      barrier.await(); // wait for them all to complete
      assertEquals(1, task.get().intValue());
      assertEquals(1, counter.get());
    }
    executor.shutdown();
  }

  @J2ktIncompatible
  @GwtIncompatible // blocking wait
  public void testToString() throws Exception {
    final CountDownLatch enterLatch = new CountDownLatch(1);

   * is complete. It does so by using daemon threads and adding a shutdown hook to wait for their
   * completion.
   *
   * <p>This is mainly for fixed thread pools. See {@link Executors#newFixedThreadPool(int)}.
   *
   * @param executor the executor to modify to make sure it exits when the application is finished
   * @param terminationTimeout how long to wait for the executor to finish before terminating the
   *     JVM

    // Once the backing futures are done there's a (brief) moment where we know nothing
    assertThat(futureResult.toString()).matches("CombinedFuture@\\w+\\[status=PENDING]");
    callableBlocking.countDown();
    // Need to wait for resultFuture to be returned.
    assertTrue(executor.awaitTermination(10, SECONDS));
    // But once the async function has returned a future we can include that in the toString
    assertThat(futureResult.toString())

   * numElements} elements are not available, it will wait for them up to the specified timeout.
   *
   * @param q the blocking queue to be drained
   * @param buffer where to add the transferred elements
   * @param numElements the number of elements to be waited for
   * @param timeout how long to wait before giving up, in units of {@code unit}

 *       next task will wait for any running callable (or pending {@code Future} returned by an
 *       {@code AsyncCallable}) to complete, without interrupting it (and without calling {@code
 *       cancel} on the {@code Future}). So beware: <i>Even if you cancel every preceding {@code
 *       Future} returned by this class, the next task may still have to wait.</i>.

          }
        } else {
          // In the case of a concurrent remove, we might observe a zero value, which means another
          // thread is about to remove (element, existingCounter) from the map. Rather than wait,
          // we can just do that work here.
          AtomicInteger newCounter = new AtomicInteger(occurrences);
          if ((countMap.putIfAbsent(element, newCounter) == null)

 * {@link #runOneIteration} that will be executed periodically as specified by its {@link
 * Scheduler}. When this service is asked to stop via {@link #stopAsync} it will cancel the periodic
 * task (but not interrupt it) and wait for it to stop before running the {@link #shutDown} method.
 *
 * <p>Subclasses are guaranteed that the life cycle methods ({@link #runOneIteration}, {@link

   * than the given time. The manager will become healthy after all the component services have
   * reached the {@linkplain State#RUNNING running} state.
   *
   * @param timeout the maximum time to wait
   * @param unit the time unit of the timeout argument
   * @throws TimeoutException if not all of the services have finished starting within the deadline

          }
        };
    assertThat(testFuture.toString())
        .matches("[^\\[]+\\[status=SUCCESS, result=\\[java.lang.Boolean@\\w+\\]\\]");
  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.