}
    return create(array);
  }

  protected abstract Multiset<AnEnum> create(AnEnum[] elements);

  @Override
  public AnEnum[] createArray(int length) {
    return new AnEnum[length];
  }

  /** Sorts the enums according to their natural ordering. */
  @Override
  public List<AnEnum> order(List<AnEnum> insertionOrder) {
    sort(insertionOrder);
    return insertionOrder;
  }

    }
    return create(array);
  }

  protected abstract Set<AnEnum> create(AnEnum[] elements);

  @Override
  public AnEnum[] createArray(int length) {
    return new AnEnum[length];
  }

  /** Sorts the enums according to their natural ordering. */
  @Override
  public List<AnEnum> order(List<AnEnum> insertionOrder) {
    sort(insertionOrder);
    return insertionOrder;
  }

    private
    fun File.readAcceptedChanges(): AcceptedApiChanges {
        val jsonString = this.readText()
        return Gson().fromJson(jsonString, AcceptedApiChanges::class.java)
    }

    /**
     * Sorts the given list of [AcceptedApiChange]s by type and member.
     * <p>
     * This sort ought to remain consistent with the sort used by the [EnrichedReportRenderer].
     */
    @Suppress("KDocUnresolvedReference")

      return "SignedBytes.lexicographicalComparator()";
    }
  }

  /**
   * Sorts the elements of {@code array} in descending order.
   *
   * @since 23.1
   */
  public static void sortDescending(byte[] array) {
    checkNotNull(array);
    sortDescending(array, 0, array.length);
  }

  /**
   * Sorts the elements of {@code array} between {@code fromIndex} inclusive and {@code toIndex}

Ce "attendre quelque chose d'autre" fait généralement référence à des opérations <abbr title="Input/Output ou Entrées et Sorties ">I/O</abbr> qui sont relativement "lentes" (comparées à la vitesse du processeur et de la mémoire RAM) telles qu'attendre que :

* de la donnée soit envoyée par le client à travers le réseau

      for (int j = 0; j < datasetSize; j++) {
        datasets[i][j] = rng.nextDouble();
      }
    }
  }

  private double[] dataset(int i) {
    // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a
    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;

      for (int j = 0; j < datasetSize; j++) {
        datasets[i][j] = rng.nextDouble();
      }
    }
  }

  private double[] dataset(int i) {
    // We must test on a fresh clone of the dataset each time. Doing sorts and quickselects on a
    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;

            QueryContext context) {
        assertEquals(query, context.getQueryBuilder().toString().replaceAll("\\s", ""));
        assertFieldLogs(fieldLogMap);
        assertHighlightedQueries(highlightedQuerySet);
        if (sorts != null) {

 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {

      int bVal = b ? trueValue : 0;
      return bVal - aVal;
    }

    @Override
    public String toString() {
      return toString;
    }
  }

  /**
   * Returns a {@code Comparator<Boolean>} that sorts {@code true} before {@code false}.
   *
   * <p>This is particularly useful in Java 8+ in combination with {@code Comparator.comparing},
   * e.g. {@code Comparator.comparing(Foo::hasBar, trueFirst())}.
   *
   * @since 21.0