return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()
	for _, s := range sr.M {
		s.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())
		s.XferRateSml.measure.updateExponentialMovingAverage(time.Now())
	}
}

// SRMetric captures replication metrics for a deployment
type SRMetric struct {

  private val eventsForMatching = ConcurrentLinkedDeque<CallEvent>()

  private val forbiddenLocks = mutableListOf<Any>()

  /** The timestamp of the last taken event, used to measure elapsed time between events. */
  private var lastTimestampNs: Long? = null

  /** Confirm that the thread does not hold a lock on `lock` during the callback. */
  fun forbidLock(lock: Any) {
    forbiddenLocks.add(lock)

      label: "Orthogonality: How does this change interact or overlap with existing features?"
      description: "Is the goal of this change a performance improvement? If so, what quantifiable improvement should we expect? How would we measure it?"
    validations:
      required: false

  - type: textarea
    id: learning-curve
    attributes:
      label: "Would this change make Go easier or harder to learn, and why?"

  - type: textarea

			return
		}
	}
}

func (r *ReplicationStats) updateMovingAvg() {
	r.RLock()
	for _, s := range r.Cache {
		for _, st := range s.Stats {
			st.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())
			st.XferRateSml.measure.updateExponentialMovingAverage(time.Now())
		}
	}
	r.RUnlock()
}

// ActiveWorkers returns worker stats
func (r *ReplicationStats) ActiveWorkers() ActiveWorkerStat {

) : ConnectionListener() {
  val eventSequence: Deque<ConnectionEvent> = ConcurrentLinkedDeque()

  private val forbiddenLocks = mutableSetOf<Any>()

  /** The timestamp of the last taken event, used to measure elapsed time between events. */
  private var lastTimestampNs: Long? = null

  /** Confirm that the thread does not hold a lock on `lock` during the callback. */
  fun forbidLock(lock: Any) {
    forbiddenLocks.add(lock)

  private void weaklyReferenceQueue() {
    frq = new FinalizableReferenceQueue();
    queueReference = new WeakReference<>(frq.queue);

    /*
     * Queue and clear a reference for good measure. We test later on that
     * the finalizer thread stopped, but we should test that it actually
     * started first.
     */
    reference =
        new FinalizableWeakReference<Object>(new Object(), frq) {

      if (contentType != null) {
        sink
          .writeUtf8("Content-Type: ")
          .writeUtf8(contentType.toString())
          .write(CRLF)
      }

      // We can't measure the body's size without the sizes of its components.
      val contentLength = body.contentLength()
      if (contentLength == -1L && countBytes) {
        byteCountBuffer!!.clear()
        return -1L
      }

        String testField = "field999";

        // Warm up
        for (int i = 0; i < 100; i++) {
            queryCommand.isSearchField(testField);
        }

        // Measure Set-based lookup
        long startTime = System.nanoTime();
        for (int i = 0; i < 10000; i++) {
            queryCommand.isSearchField(testField);
        }
        long duration = System.nanoTime() - startTime;

    @Test
    public void test_integrationScenarios() {
        // Test realistic scenarios combining multiple methods
        String memoryLog1 = MemoryUtil.getMemoryUsageLog();

        // Create some objects and measure their sizes
        List<String> testData = new ArrayList<>();
        for (int i = 0; i < 100; i++) {
            testData.add("test data " + i);
        }

        long listSize = MemoryUtil.sizeOf(testData);

   * @param offset the offset into the array at which to start
   * @return the value found in the array in the form of a long
   */
  static int load32(byte[] source, int offset) {
    // TODO(user): Measure the benefit of delegating this to LittleEndianBytes also.
    return (source[offset] & 0xFF)
        | ((source[offset + 1] & 0xFF) << 8)
        | ((source[offset + 2] & 0xFF) << 16)