@SuppressWarnings("serial") // uses writeReplace, not default serialization
@GwtIncompatible
@ElementTypesAreNonnullByDefault
final class RegularImmutableSortedMultiset<E> extends ImmutableSortedMultiset<E> {
  private static final long[] ZERO_CUMULATIVE_COUNTS = {0};

  static final ImmutableSortedMultiset<?> NATURAL_EMPTY_MULTISET =
      new RegularImmutableSortedMultiset<>(Ordering.natural());

	Name   MetricName
	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values
	// helps in calculating the current value by comparing the new
	// cumulative value with previous one
	Cumulative float64

	Max   float64
	Avg   float64
	Sum   float64
	Count uint64
}

func init() {

  /** Discards all entries in the cache. */
  void invalidateAll();

  /** Returns the approximate number of entries in this cache. */
  long size();

  /**
   * Returns a current snapshot of this cache's cumulative statistics, or a set of default values if
   * the cache is not recording statistics. All statistics begin at zero and never decrease over the
   * lifetime of the cache.
   *

  /** Discards all entries in the cache. */
  void invalidateAll();

  /** Returns the approximate number of entries in this cache. */
  long size();

  /**
   * Returns a current snapshot of this cache's cumulative statistics, or a set of default values if
   * the cache is not recording statistics. All statistics begin at zero and never decrease over the
   * lifetime of the cache.
   *

}

// SMA struct for calculating simple moving average
type SMA struct {
	buf       []float64
	window    int     // len of buf
	idx       int     // current index in buf
	CAvg      float64 // cumulative average
	prevSMA   float64
	filledBuf bool
}

func newSMA(ln int) *SMA {
	if ln <= 0 {
		ln = defaultWindowSize
	}
	return &SMA{
		buf:    make([]float64, ln),
		window: ln,

  //     then total_size is the cumulative byte size
  //     of all the strings in the list.
  // (3) If type == TF_ATTR_SHAPE and is_list == 0
  //     then total_size is the number of dimensions
  //     of the shape valued attribute, or -1
  //     if its rank is unknown.
  // (4) If type == TF_ATTR_SHAPE and is_list == 1
  //     then total_size is the cumulative number
  //     of dimensions of all shapes in the list.

				"x-minio-versions": strconv.Itoa(len(objInfos)),
			},
		})
	}

	cumulativeSize := int64(0)
	for _, objInfo := range objInfos {
		cumulativeSize += objInfo.Size
	}
	// Check if the cumulative size of all versions of this object is high.
	if cumulativeSize >= scannerExcessObjectVersionsTotalSize.Load() {
		// Notify object accessed via a GET request.
		sendEvent(eventArgs{

- The `priority_level_request_utilization` metric histogram is adjusted so that for the cases where `phase=waiting` the denominator is the cumulative capacity of all of the priority level's queues.

*   GPU
    *   GPU acceleration now supports quantized models by default
*   `DynamicBuffer::AddJoinedString()` will now add a separator if the first
    string to be joined is empty.
*   Adds support for cumulative sum (cumsum), both as builtin op and MLIR
    conversion.

### `TensorRT`

*   Issues a warning when the `session_config` parameter for the TF1 converter

pkg runtime/metrics, method (Value) Kind() ValueKind
pkg runtime/metrics, method (Value) Uint64() uint64
pkg runtime/metrics, type Description struct
pkg runtime/metrics, type Description struct, Cumulative bool
pkg runtime/metrics, type Description struct, Description string
pkg runtime/metrics, type Description struct, Kind ValueKind
pkg runtime/metrics, type Description struct, Name string