* and the counter returned by {@link #totalProblemsReported()} are not equal (latter is bigger than former).
     *
     * @return true if the problem collector has overflowed and some problems were not preserved
     */
    boolean problemsOverflow();

    /**
     * Reports a problem: always maintains the counters, but whether problem is preserved in memory, depends on

        long currentWindow = System.currentTimeMillis() / rateLimitWindow;
        String windowKey = key + "_" + currentWindow;

        AtomicLong counter = rateLimitCounters.computeIfAbsent(windowKey, k -> new AtomicLong(0));
        long currentCount = counter.incrementAndGet();

        // Clean up old windows periodically
        if (currentCount == 1) {
            cleanupOldRateLimitCounters(currentWindow);
        }

   * exception is thrown, this exception is used as the result of the output {@code Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }
   *

    for (int i = 0; i < SIZE; i++) {
      aa.set(i, (double) COUNTDOWN);
    }
    Counter c1 = new Counter(aa);
    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */

    private CrawlerPooledObjectFactory<TestComponent> factory;
    private StandardCrawlerContainer container;

    @Override
    protected void setUp() throws Exception {
        super.setUp();

        // Reset counters before each test
        TestComponent.resetCounter();
        SingletonTestComponent.resetInstanceCount();

        // Initialize container with test components

        stats.recordRdmaSend(512, 500000); // 512B in 0.5ms
        stats.recordRdmaReceive(1536, 1500000); // 1.5KB in 1.5ms
        stats.recordError();

        // Verify counters
        assertEquals(1, stats.getRdmaReads(), "Should have 1 read operation");
        assertEquals(1, stats.getRdmaWrites(), "Should have 1 write operation");

// Update replication upload latency with a new value
func (rl *ReplicationLatency) update(size int64, duration time.Duration) {
	rl.UploadHistogram.Add(size, duration)
}

// ReplicationLastMinute has last minute replication counters
type ReplicationLastMinute struct {
	LastMinute lastMinuteLatency
}

func (rl ReplicationLastMinute) merge(other ReplicationLastMinute) (nl ReplicationLastMinute) {

        long now = System.currentTimeMillis();
        lastFailureTimes.entrySet().removeIf(entry -> now - entry.getValue() > FAILURE_RECOVERY_TIME * 2);

        // Clean up old consecutive failure counters
        consecutiveFailures.entrySet().removeIf(entry -> {
            String key = entry.getKey();
            Long lastFailure = lastFailureTimes.get(key);

                openStateStartTime.set(0);
            }

            if (newState == State.OPEN) {
                openStateStartTime.set(System.currentTimeMillis());
            }

            // Reset counters based on transition
            switch (newState) {
            case CLOSED:
                failureCount.set(0);
                successCount.set(0);
                halfOpenAttempts.set(0);
                break;

           * modified concurrently), or it might have been only an estimate to begin with (for a
           * collection like ConcurrentHashMap, which sums up several counters that may not be in
           * sync with one another). We accommodate that by resizing as necessary.
           */
          toJoin = Arrays.copyOf(toJoin, expandedCapacity(toJoin.length, toJoin.length + 1));
        }