* 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

    }

    private void checkFile(String name, String jarName, Map<String, Boolean> counters, String type) {
        String fileName = getFileName(name, counters, type);

        if (counters.containsKey(fileName) == false) {
            throw new GradleException("Missing " + type + " for " + jarName + ", expected in " + fileName);
        }

        counters.put(fileName, true);
    }

}

func (k *KMS) updateMetrics(err error, latency time.Duration) {
	// First, update the latency histogram
	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}

   * 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());
   * }
   *

        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);
        }

        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");

    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 */

// 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) {

    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 */

           * 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));
        }