this.client = client;
    }

    /**
     * Returns the maximum retry count.
     * @return The maximum retry count.
     */
    public int getMaxRetryCount() {
        return maxRetryCount;
    }

    /**
     * Sets the maximum retry count.
     * @param maxRetryCount The maximum retry count.
     */
    public void setMaxRetryCount(final int maxRetryCount) {

                    return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);

        raf.writeShort(1);
        raf.writeChar('A');
        raf.writeInt(1);
        raf.writeLong(1L);
        raf.writeFloat(1.0f);
        raf.writeDouble(1.0);

        // Verify length counts - using times() to check exact counts
        verify(raf, times(2)).write(any(byte[].class), anyInt(), eq(2)); // short and char
        verify(raf, times(2)).write(any(byte[].class), anyInt(), eq(4)); // int and float

            byte[] buf = BufferCache.getBuffer();
            BufferCache.releaseBuffer(buf);
        }

        // 3. Atomic Operations Test
        AtomicLong counter = new AtomicLong(0);
        for (int i = 0; i < 1000; i++) {
            counter.addAndGet(1024);
        }

        long end = System.nanoTime();
        double totalTimeMs = (end - start) / 1_000_000.0;

	}

	maxima = 0 // Counter for remembering max occurrence of elements.
	latest := int64(0)

	// Find the common cardinality from previously collected
	// occurrences of elements.
	for nano, count := range timeOccurrenceMap {
		if count < maxima {
			continue
		}

		// We are at or above maxima
		if count > maxima || nano > latest {
			maxima = count
			latest = nano
		}
	}

    private static final java.util.concurrent.ConcurrentLinkedQueue<byte[]> bufferQueue =
            new java.util.concurrent.ConcurrentLinkedQueue<>();

    // Track queue size with atomic counter for efficiency
    private static final java.util.concurrent.atomic.AtomicInteger queueSize = new java.util.concurrent.atomic.AtomicInteger(0);

    /**

        // Then - Session should be in consistent state
        // The double-check pattern should prevent inconsistent cleanup
        assertTrue(releaseCount.get() > 0 || acquireCount.get() > 0, "Release and acquire counts should be processed");
    }

    /**
     * Test that trees collection is properly cleared during cleanup.
     */
    @Test
    public void testTreesCollectionCleanup() {
        // Given

    /**
     * Gets the total number of records across all pages.
     *
     * @return the total record count
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records across all pages.
     *
     * @param allRecordCount the total record count to set
     */
    public void setAllRecordCount(final int allRecordCount) {

  private static boolean isPermutation(List<?> first, List<?> second) {
    if (first.size() != second.size()) {
      return false;
    }
    ObjectCountHashMap<?> firstCounts = counts(first);
    ObjectCountHashMap<?> secondCounts = counts(second);
    if (first.size() != second.size()) {
      return false;
    }
    for (int i = 0; i < first.size(); i++) {

			if len(cm) == 1 {
				m.Aggregated.CPU.TimesStat = &cm[0]
			} else {
				m.Errors = append(m.Errors, fmt.Sprintf("%s: Expected one CPU stat, got %d", byHostName, len(cm)))
			}
		}
		cpuCount, err := c.Counts(true)
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (cpuCount)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.CPUCount = cpuCount
		}

		loadStat, err := load.Avg()