} catch (UnsupportedOperationException expected) {
    }
  }

  /**
   * Verifies that an Iterator is unmodifiable.
   *
   * <p>This test only works with iterators that iterate over a finite set.
   */
  public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) {
    while (iterator.hasNext()) {
      iterator.next();
      try {
        iterator.remove();

    } catch (UnsupportedOperationException expected) {
    }
  }

  /**
   * Verifies that an Iterator is unmodifiable.
   *
   * <p>This test only works with iterators that iterate over a finite set.
   */
  public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) {
    while (iterator.hasNext()) {
      iterator.next();
      try {
        iterator.remove();

            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.FINITE_BOUNDS_VIOLATION) { firDiagnostic ->
        FiniteBoundsViolationImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.FINITE_BOUNDS_VIOLATION_IN_JAVA) { firDiagnostic ->
        FiniteBoundsViolationInJavaImpl(

Cela prendrait autant de temps pour finir avec ou sans sections (concurrence) et vous auriez effectué la même quantité de travail.

Mais dans ce cas, si pouviez amener 8 ex-serveurs/cuisiniers/devenus-nettoyeurs 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳, et que chacun d'eux (plus vous) pouvait prendre une zone de la maison pour la nettoyer, vous pourriez faire tout le travail en parallèle, et finir plus tôt.

        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.

	healUnconsumedTimeout = 24 * time.Hour

	// time-duration to keep heal sequence state after it
	// completes.
	keepHealSeqStateDuration = time.Minute * 10

	// nopHeal is a no operating healing action to
	// wait for the current healing operation to finish
	nopHeal = ""
)

var (
	errHealIdleTimeout   = fmt.Errorf("healing results were not consumed for too long")

	// to avoid missing events when the target is down.
	store          store.Store[interface{}]
	storeCtxCancel context.CancelFunc

	initKafkaOnce      once.Init
	initQueueStoreOnce once.Init

	client   sarama.Client
	producer sarama.SyncProducer
	kconfig  Config
	config   *sarama.Config
}

func (h *Target) validate() error {
	if len(h.kconfig.Brokers) == 0 {

In den nächsten Kapiteln zeige ich Ihnen einige konkrete Beispiele.

---

	loadNodesUpDown := func() (v nodesOnline, err error) {
		v.Online, v.Offline = globalNotificationSys.GetPeerOnlineCount()
		return
	}
	return cachevalue.NewFromFunc(1*time.Minute,
		cachevalue.Opts{ReturnLastGood: true},
		loadNodesUpDown)
}

type driveIOStatMetrics struct {
	readsPerSec    float64
	readsKBPerSec  float64
	readsAwait     float64
	writesPerSec   float64

import java.time.ZoneOffset
import java.time.format.DateTimeFormatterBuilder
import java.time.temporal.ChronoField.HOUR_OF_DAY
import java.time.temporal.ChronoField.MINUTE_OF_HOUR
import java.time.temporal.ChronoField.NANO_OF_SECOND
import java.time.temporal.ChronoField.SECOND_OF_MINUTE
import java.util.logging.Formatter
import java.util.logging.LogRecord

/**