queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();

    queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();

#ifdef __cplusplus
extern "C" {
#endif

// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:

projects: ["golang/29"]
body:
- type: textarea
  attributes:
    label: Summary
    description: >
      What change are you proposing to the upload configuration, and why?
      For new upload configuration, which new counters will be collected, what
      do they measure, and why is it important to collect them?
      Note that uploaded data must not carry sensitive user information.

	// 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
	}
	for i := bucket; i < len(k.latency); i++ {
		k.latency[i].Add(1)
	}

	// Next, update the request counters
	if err == nil {
		k.reqOK.Add(1)
		return
	}

   *
   * <p>Usage example:
   *
   * <pre>{@code
   * // 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());
   * }</pre>
   *

  // +optional
  optional string completedIndexes = 7;

  // uncountedTerminatedPods holds the UIDs of Pods that have terminated but
  // the job controller hasn't yet accounted for in the status counters.
  //
  // The job controller creates pods with a finalizer. When a pod terminates
  // (succeeded or failed), the controller does three steps to account for it
  // in the job status:
  //

// 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) {

              ++counts;
            }
          }
        }
        if (done) {
          break;
        }
      }
    }
  }

  /**
   * Multiple threads using same array of counters successfully update a number of times equal to
   * total count
   */
  public void testCountingInMultipleThreads() throws InterruptedException {
    final AtomicDoubleArray aa = new AtomicDoubleArray(SIZE);

	SRAW	$1, X6					// 1b531340

	// 4.3: Load and Store Instructions (RV64I)
	LD	(X5), X6				// 03b30200
	LD	4(X5), X6				// 03b34200
	SD	X5, (X6)				// 23305300
	SD	X5, 4(X6)				// 23325300

	// 8.1: Base Counters and Timers (Zicntr)
	RDCYCLE		X5				// f32200c0
	RDTIME		X5				// f32210c0
	RDINSTRET	X5				// f32220c0

	// 13.1: Multiplication Operations
	MUL	X5, X6, X7				// b3035302
	MULH	X5, X6, X7				// b3135302