/**
 * A mutable object which accumulates double values and tracks some basic statistics over all the
 * values added so far. The values may be added singly or in groups. This class is not thread safe.
 *
 * @author Pete Gillin
 * @author Kevin Bourrillion
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class StatsAccumulator {
  /** Creates a new accumulator. */
  public StatsAccumulator() {}

Par exemple :

* Traitements d'**audio** et d'**images**.
* La **vision par ordinateur** : une image est composée de millions de pixels, chaque pixel ayant 3 valeurs / couleurs, les traiter tous va nécessiter d'effectuer des traitements sur chaque pixel, et de préférence tous en même temps.

   * records).
   *
   * @since NEXT
   */
  public long serializedSize() {
    // We return a long (and not an int) because the max serialized size is approximately
    // 17 billion bytes (2^31 * 8 bytes).

    // The serialization header is 6 bytes:
    //   1 byte for the strategy
    //   1 byte for the number of hash functions
    //   4 bytes for the array length

        @Override
        public void start() {
            // Mock implementation
        }

        // Custom join method to avoid overriding final Thread.join()
        public void waitForCompletion(long millis) {
            // Mock implementation
        }

        @Override
        public String getOutput() {
            return output;
        }
    }

    // Mock Process implementation

    ImmutableMap<Service, Long> startupTimes = serviceManager.startupTimes();
    assertThat(startupTimes).hasSize(2);
    assertThat(startupTimes.get(a)).isAtLeast(150);
    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either

 * StatsAccumulator#add} and {@link StatsAccumulator#addAll} methods. For tests of the {@link
 * StatsAccumulator#snapshot} method which returns {@link Stats} instances, see {@link StatsTest}.
 *
 * @author Pete Gillin
 */
@NullUnmarked
@J2ktIncompatible
@GwtIncompatible
public class StatsAccumulatorTest extends TestCase {

  private StatsAccumulator emptyAccumulator;

 * StatsAccumulator#add} and {@link StatsAccumulator#addAll} methods. For tests of the {@link
 * StatsAccumulator#snapshot} method which returns {@link Stats} instances, see {@link StatsTest}.
 *
 * @author Pete Gillin
 */
@NullUnmarked
@J2ktIncompatible
@GwtIncompatible
public class StatsAccumulatorTest extends TestCase {

  private StatsAccumulator emptyAccumulator;

  }

  /**
   * Returns the service load times. This value will only return startup times for services that
   * have finished starting.
   *
   * @return Map of services and their corresponding startup time in millis, the map entries will be
   *     ordered by startup time.
   */
  public ImmutableMap<Service, Long> startupTimes() {
    return state.startupTimes();
  }

  /**

 * either form}), only the overhead is required. The number of object allocations is independent of
 * N in both cases.
 *
 * @author Pete Gillin
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Quantiles {
  /**
   * Constructor for a type that is not meant to be instantiated.
   *

---

Typische Beispiele für CPU-lastige Vorgänge sind Dinge, die komplexe mathematische Berechnungen erfordern.

Zum Beispiel:

* **Audio-** oder **Bildbearbeitung**.
* **Computer Vision**: Ein Bild besteht aus Millionen von Pixeln, jedes Pixel hat 3 Werte / Farben, die Verarbeitung erfordert normalerweise, Berechnungen mit diesen Pixeln durchzuführen, alles zur gleichen Zeit.