return null;
          }
        });

    assertEquals(incrementByNanos * numberOfThreads, ticker.read());
  }

  /** Runs {@code callable} concurrently {@code numberOfThreads} times. */
  @GwtIncompatible // concurrency
  private void runConcurrentTest(int numberOfThreads, Callable<@Nullable Void> callable)
      throws Exception {
    ExecutorService executorService = newFixedThreadPool(numberOfThreads);

   * @throws CancellationException if the computation was cancelled
   * @throws TimeoutException if the wait timed out
   * @since 33.4.0 (but since 28.0 in the JRE flavor)
   */
  @CanIgnoreReturnValue
  @J2ktIncompatible
  @GwtIncompatible // java.time.Duration
  @ParametricNullness
  @IgnoreJRERequirement // Users will use this only if they're already using Duration.

        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives


        There is always *some* alternative to adding a new feature to Guava, even if it's just

Ele foi escolhido sobre outras alternativas anteriores por se adequar melhor em muitos casos.

Muitos desenvolvedores e times já dependem do **FastAPI** para seus projetos (incluindo eu e meu time).

Mas ainda há muitas melhorias e funcionalidades a vir.

**FastAPI** tem um grande futuro à frente.

		// Keep the default key in the KES cache to prevent availability issues
		// when MinIO restarts
		go func() {
			timer := time.NewTicker(10 * time.Second)
			defer timer.Stop()
			defaultKey := env.Get(EnvKESDefaultKey, "")
			for {
				select {
				case <-ctx.Done():
					return
				case <-timer.C:
					client.DescribeKey(ctx, defaultKey)
				}
			}
		}()

		return &KMS{
			Type:       MinKES,

In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

	statsTime           time.Time
	rttMsSum, maxRttMs  float64
	successRequestCount int64
	failedRequestCount  int64
}

type metrics struct {
	sync.Mutex
	LastCheckSuccess time.Time
	LastCheckFailure time.Time
	lastFullMinute   serviceRTTMinuteStats
	currentMinute    serviceRTTMinuteStats
}

func (h *metrics) setConnSuccess(reqStartTime time.Time) {
	h.Lock()
	defer h.Unlock()

            return null;
          }
        });

    assertEquals(incrementByNanos * numberOfThreads, ticker.read());
  }

  /** Runs {@code callable} concurrently {@code numberOfThreads} times. */
  @GwtIncompatible // concurrency
  private void runConcurrentTest(int numberOfThreads, Callable<@Nullable Void> callable)
      throws Exception {
    ExecutorService executorService = newFixedThreadPool(numberOfThreads);

      // timed out. e.g. if we weren't event able to grab the lock within the timeout we would never
      // even check the guard. I don't think we care too much about this use case but it could lead
      // to a confusing error message.
      throw new TimeoutException("Timed out waiting for " + this + " to reach the RUNNING state.");
    }
  }

  @Override

    val elapsedUntilPong3 = System.nanoTime() - startNanos
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedUntilPong3).toDouble())
      .isCloseTo(1500.0, 250.0)

    // The client pinged the server 3 times, and it has ponged back 3 times.
    assertThat(webSocket.sentPingCount()).isEqualTo(3)
    assertThat(server.receivedPingCount()).isEqualTo(3)
    assertThat(webSocket.receivedPongCount()).isEqualTo(3)