}
			ls := hm.CPU.LoadStat
			if ls != nil {
				updateResourceMetrics(cpuSubsystem, cpuLoad1, ls.Load1, labels, false)
				updateResourceMetrics(cpuSubsystem, cpuLoad5, ls.Load5, labels, false)
				updateResourceMetrics(cpuSubsystem, cpuLoad15, ls.Load15, labels, false)
				if hm.CPU.CPUCount > 0 {
					perc := math.Round(ls.Load1*100*100/float64(hm.CPU.CPUCount)) / 100
					updateResourceMetrics(cpuSubsystem, cpuLoad1Perc, perc, labels, false)

   *
   * If the library is loaded in an application class loader, we try to break the cycle by loading
   * Finalizer in its own independent class loader:
   *
   * System class loader -> Application class loader -> ReferenceMap -> FinalizableReferenceQueue ->
   * etc. -> Decoupled class loader -> Finalizer
   *

   *
   * When we reference FinalizableReferenceQueue in this test, we are referencing a class that is
   * loaded by this test and that will obviously remain loaded for as long as the test is running.
   * So in order to check ClassLoader garbage collection we need to create a new ClassLoader and
   * make it load its own version of FinalizableReferenceQueue. Then we need to interact with that

   * #loadSuccessCount}). Multiple concurrent misses for the same key will result in a single load
   * operation. This may be incremented not in conjunction with {@code missCount} if the load occurs
   * as a result of a refresh or if the cache loader returned more items than was requested. {@code
   * missCount} may also be incremented not in conjunction with this (nor {@link #loadSuccessCount})

   * #loadSuccessCount}). Multiple concurrent misses for the same key will result in a single load
   * operation. This may be incremented not in conjunction with {@code missCount} if the load occurs
   * as a result of a refresh or if the cache loader returned more items than was requested. {@code
   * missCount} may also be incremented not in conjunction with this (nor {@link #loadSuccessCount})

// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//
// The `loader` function loads metrics from the cache and the system.
func NewMetricsGroup(path collectorPath, descriptors []MetricDescriptor,
	loader MetricsLoaderFn,
) *MetricsGroup {
	mg := &MetricsGroup{
		CollectorPath: path,
		Descriptors:   descriptors,
		loader:        loader,
	}
	mg.validate()
	return mg
}

  /**
   * Load 8 bytes into long in a little endian manner, from the substring between position and
   * position + 8. The array must have at least 8 bytes from offset (inclusive).
   *
   * @param input the input bytes
   * @param offset the offset into the array at which to start
   * @return a long of a concatenated 8 bytes
   */
  static long load64(byte[] input, int offset) {

    CountingLoader loader = new CountingLoader();
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());
    assertEquals(0, loader.getCount());

    Object key = new Object();
    Object value = map.get(key, loader);
    assertEquals(1, loader.getCount());
    assertEquals(value, map.get(key, loader));
    assertEquals(1, loader.getCount());
  }

    CountingLoader loader = new CountingLoader();
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());
    assertEquals(0, loader.getCount());

    Object key = new Object();
    Object value = map.get(key, loader);
    assertEquals(1, loader.getCount());
    assertEquals(value, map.get(key, loader));
    assertEquals(1, loader.getCount());
  }

	if cpuMetrics.LoadStat != nil {
		m.Set(sysCPULoad, cpuMetrics.LoadStat.Load1)
		perc := cpuMetrics.LoadStat.Load1 * 100 / float64(cpuMetrics.CPUCount)
		m.Set(sysCPULoadPerc, math.Round(perc*100)/100)
	}

	ts := cpuMetrics.TimesStat
	if ts != nil {
		tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
		cpuUserVal := math.Round(ts.User/tot*100*100) / 100
		m.Set(sysCPUUser, cpuUserVal)