checkArgument((value >> Integer.SIZE) == 0, "out of range: %s", value);
    return (int) value;
  }

  /**
   * Returns the {@code int} value that, when treated as unsigned, is nearest in value to {@code
   * value}.
   *
   * @param value any {@code long} value
   * @return {@code 2^32 - 1} if {@code value >= 2^32}, {@code 0} if {@code value <= 0}, and {@code

                .stream()
                .filter(c -> !c.isPrimary()) // Never remove primary channel
                .sorted(Comparator.comparingInt(ChannelInfo::getScore)) // Remove lowest scoring first
                .limit(excessCount)
                .collect(ArrayList::new, (list, item) -> list.add(item), (list1, list2) -> list1.addAll(list2));

        for (ChannelInfo channel : channelsToRemove) {

// to define Metric and  help string
func newMinioResourceCollector(metricsGroups []*MetricsGroupV2) *minioResourceCollector {
	return &minioResourceCollector{
		metricsGroups: metricsGroups,
		desc:          prometheus.NewDesc("minio_resource_stats", "Resource statistics exposed by MinIO server", nil, nil),
	}
}

func prepareResourceMetrics(rm ResourceMetric, subSys MetricSubsystem, requireAvgMax bool) []MetricV2 {

Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).

Et pourtant l'expérience finale n'est pas meilleure 😞.

---

C'est donc l'histoire équivalente parallèle pour les burgers 🍔.

Pour un exemple plus courant dans la "vie réelle", imaginez une banque.

* Wsparcie edytorów kodu, wliczając:
    * Auto-uzupełnianie.
    * Sprawdzanie typów.
* Walidacja danych:
    * Automatyczne i przejrzyste błędy gdy dane są niepoprawne.
    * Walidacja nawet dla głęboko zagnieżdżonych obiektów JSON.
* <abbr title="znane również jako: serializacja, przetwarzanie, marshalling">Konwersja</abbr> danych wejściowych: przychodzących z sieci na Pythonowe typy. Pozwala na przetwarzanie danych:

}

// ListDir - lists a directory.
func (client *storageRESTClient) ListDir(ctx context.Context, origvolume, volume, dirPath string, count int) (entries []string, err error) {
	values := grid.NewMSS()
	values.Set(storageRESTVolume, volume)
	values.Set(storageRESTDirPath, dirPath)
	values.Set(storageRESTCount, strconv.Itoa(count))
	values.Set(storageRESTOrigVolume, origvolume)

    assertSame(testEquivalence, map.valueEquivalence);
    assertSame(map.keyStrength.defaultEquivalence(), map.keyEquivalence);
  }

  public void testSetConcurrencyLevel() {
    // round up to the nearest power of two

    checkConcurrencyLevel(1, 1);
    checkConcurrencyLevel(2, 2);
    checkConcurrencyLevel(3, 4);
    checkConcurrencyLevel(4, 4);
    checkConcurrencyLevel(5, 8);

    // Do a binary search until we're down to the range of two which encloses centerFloor (unless
    // all values are lower or higher than centerFloor, in which case we find the two highest or
    // lowest respectively). If centerFloor is in allRequired, we will definitely find it. If not,
    // but centerFloor + 1 is, we'll definitely find that. The closest value to the true (unrounded)
    // center will be at either low or high.

     * defined precedence onto each other to achieve proper precedence. Precedence is defined as:
     * <ul>
     *     <li>System properties (lowest precedence)</li>
     *     <li>Project properties (optional)</li>
     *     <li>User properties (highest precedence)</li>
     * </ul>

  /**
   * Returns the index in {@code iterable} of the first element that satisfies the provided {@code
   * predicate}, or {@code -1} if the Iterable has no such elements.
   *
   * <p>More formally, returns the lowest index {@code i} such that {@code
   * predicate.apply(Iterables.get(iterable, i))} returns {@code true}, or {@code -1} if there is no
   * such index.
   *
   * @since 2.0
   */