memlimit = ctx.GlobalString("memlimit")
		}
		mlimit, err := humanize.ParseBytes(memlimit)
		if err != nil {
			return err
		}
		if mlimit > memAvailable {
			logger.Info("WARNING: maximum memory available (%s) smaller than specified --memlimit=%s, ignoring --memlimit value",
				humanize.IBytes(memAvailable), memlimit)
		}
		ctxt.MemLimit = mlimit
	} else {
		ctxt.MemLimit = memAvailable
	}

  public abstract HashCode hashBytes(byte[] input, int off, int len);

  @Override
  public HashCode hashBytes(ByteBuffer input) {
    return newHasher(input.remaining()).putBytes(input).hash();
  }

  /** In-memory stream-based implementation of Hasher. */
  private final class BufferingHasher extends AbstractHasher {
    final ExposedByteArrayOutputStream stream;

    BufferingHasher(int expectedInputSize) {

aient lieu dans le même process (par exemple, pas besoin de partager la mémoire, les variables, etc.), il peut s'avérer profitable d'utiliser des outils plus importants tels que <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan dans différents process, et potentiellement,...

#         }
#     }
# }
#
# *The line that starts with '#' means comment-out.
#
map:{
    # example for implicit classification
    #; Flg = list:{
    #    ; map:{topComment=general boolean classification for every flg-column; codeType=Number}
    #    ; map:{code=1; name=True ; alias=Checked  ; comment=means yes; sisterCode=true}
    #    ; map:{code=0; name=False; alias=Unchecked; comment=means no ; sisterCode=false}
    #}

unbedingt vom selben Prozess ausgeführt werden müssen (z. B. müssen Sie Speicher, Variablen, usw. nicht gemeinsam nutzen), könnte die Verwendung anderer größerer Tools wie z. B. <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a> von Vorteil sein.

Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere...

 * <p>
 * Unlike a cache, this session data is not subject to purging. For this same reason, session data should also not be
 * abused as a cache (i.e. for storing values that can be re-calculated) to avoid memory exhaustion.
 * <p>
 * <strong>Note:</strong> Actual implementations must be thread-safe.
 *
 * @see Session#getData()
 * @since 4.0.0
 */
@Experimental
@ThreadSafe
@Provider
public interface SessionData {

 * }
 * public void testFooLeak() {
 *   GcFinalization.awaitClear(fooWeakRef());
 * }
 * }
 *
 * <p>This class cannot currently be used to test soft references, since this class does not try to
 * create the memory pressure required to cause soft references to be cleared.
 *
 * <p>This class only provides testing utilities. It is not designed for direct use in production or
 * for benchmarking.
 *
 * @author mike nonemacher

      description: If compiling from source
  - type: input
    id: Cuda
    attributes:
      label: CUDA/cuDNN version
  - type: input
    id: Gpu
    attributes:
      label: GPU model and memory
      description: If compiling from source
  - type: textarea
    id: what-happened
    attributes:
      label: Current behavior?
      description: Also tell us, what did you expect to happen?

       * If we make some other optimizations, this one will no longer be necessary. The optimization
       * could actually hurt in some cases, as it forces us to keep all inputs in memory until the
       * final input completes.
       */
      @RetainedLocalRef
      ImmutableCollection<? extends ListenableFuture<? extends InputT>> localFutures = futures;

This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests.

You probably want to test the external provider once, but not necessarily call it for every test that runs.

In this case, you can override the dependency that calls that provider, and use a custom dependency that returns a mock user, only for your tests.