return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

 * <p>
 * This class provides precise time measurements using {@link System#nanoTime()}
 * while maintaining wall-clock time information in UTC. The wall-clock time
 * is computed from the monotonic duration since system start to ensure consistency
 * between time measurements.
 * <p>
 * This implementation is singleton-based and always uses UTC timezone. The clock

        Thread.sleep(10); // Small delay
        Instant third = MonotonicClock.now();

        assertTrue(first.isBefore(second), "Time should progress forward between measurements");
        assertTrue(second.isBefore(third), "Time should progress forward between measurements");
    }

    @Test
    @DisplayName("MonotonicClock elapsed time should increase")
    void testElapsedTime() throws InterruptedException {

    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

        }

        // Add to history for percentile calculation
        responseTimeHistory.addLast(responseTimeMs);
        if (responseTimeHistory.size() > 1000) { // Keep last 1000 measurements
            responseTimeHistory.removeFirst();
        }

        // Calculate moving average (simple approach)
        if (!responseTimeHistory.isEmpty()) {

        .matches("[^\\[]+\\[status=SUCCESS, result=\\[java.lang.Boolean@\\w+\\]\\]");
  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")

        .matches("[^\\[]+\\[status=SUCCESS, result=\\[java.lang.Boolean@\\w+\\]\\]");
  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")

'left'].indexOf(placement) !== -1;\n  const mainSide = isHoriz ? 'top' : 'left';\n  const secondarySide = isHoriz ? 'left' : 'top';\n  const measurement = isHoriz ? 'height' : 'width';\n  const secondaryMeasurement = !isHoriz ? 'height' : 'width';\n\n  popperOffsets[mainSide] =\n    referenceOffsets[mainSide] +\n    referenceOffsets[measurement] / 2 -\n    popperRect[measurement] / 2;\n  if (placement === secondarySide) {\n    popperOffsets[secondarySide] =\n      referenceOffsets[secondarySide] - popperRe...