o := entries.entries()
	if !o.isSorted() {
		t.Fatal("Expected sorted objects")
	}

	// Swap first and last
	o[0], o[len(o)-1] = o[len(o)-1], o[0]
	if o.isSorted() {
		t.Fatal("Expected unsorted objects")
	}

	sorted := o.sort()
	if !o.isSorted() {
		t.Fatal("Expected sorted o objects")
	}
	if !sorted.entries().isSorted() {
		t.Fatal("Expected sorted wrapped objects")
	}

 * double myMedian = median().compute(myDataset);
 * }
 *
 * where {@link #median()} has been statically imported.
 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *
 * where {@link #percentiles()} has been statically imported.
 *
 * <p>To compute median and the 90th and 99th percentiles:
 *
 * {@snippet :

   * Returns an immutable sorted multiset containing the given elements sorted by their natural
   * ordering.
   *
   * @throws NullPointerException if any element is null
   */
  public static <E extends Comparable<? super E>> ImmutableSortedMultiset<E> of(
      E e1, E e2, E e3, E e4) {
    return copyOf(Ordering.natural(), Arrays.asList(e1, e2, e3, e4));
  }

  /**

  public static class Chars extends SampleElements<Character> {
    public Chars() {
      // elements aren't sorted, to better test SortedSet iteration ordering
      super('b', 'a', 'c', 'd', 'e');
    }
  }

  public static class Enums extends SampleElements<AnEnum> {
    public Enums() {
      // elements aren't sorted, to better test SortedSet iteration ordering
      super(AnEnum.B, AnEnum.A, AnEnum.C, AnEnum.D, AnEnum.E);
    }

        item.setNewInputs(newInputs);

        // Inputs should already be sorted from constructor
        assertEquals("a", item.getInputs()[0]);

        // NewInputs not sorted yet
        assertEquals("9", item.getNewInputs()[0]);

        // Call sort
        item.sort();

        // Both should be sorted
        assertEquals("a", item.getInputs()[0]);
        assertEquals("m", item.getInputs()[1]);

        stream(tags).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(roles).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(fields).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));

			if c.after == "*" && len(sorted) > 0 {
				if curIdx := getRIndex(sorted, c.name); curIdx == -1 {
					sorted = append(sorted, c.name)
				}
			} else if sortedIdx := getRIndex(sorted, c.after); sortedIdx != -1 {
				if curIdx := getRIndex(sorted, c.name); curIdx == -1 {
					// if after callback sorted, append current callback to last
					sorted = append(sorted, c.name)
				} else if curIdx < sortedIdx {

      Comparator<? super E> comparator, Collection<? extends E> elements) {
    return copyOf(comparator, (Iterable<? extends E>) elements);
  }

  /**
   * Returns an immutable sorted set containing the elements of a sorted set, sorted by the same
   * {@code Comparator}. That behavior differs from {@link #copyOf(Iterable)}, which always uses the
   * natural ordering of the elements.
   *

     * This method implements a time-based caching mechanism that refreshes the list
     * every 60 seconds to balance performance with up-to-date plugin discovery.
     *
     * @return array of data store names sorted alphabetically, never null
     */
    public String[] getDataStoreNames() {
        final long now = ComponentUtil.getSystemHelper().getCurrentTimeAsLong();
        if (now - lastLoadedTime > 60000L) {

      }
    }
  }

  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 i = 0; i < reps; i++) {