+ (-2.2 - MANY_VALUES_MEAN) * (-2.2 - MANY_VALUES_MEAN);
  static final double MANY_VALUES_MAX = 555.555;
  static final double MANY_VALUES_MIN = -44.44;

  // Doubles which will overflow if summed:
  static final double[] LARGE_VALUES = {Double.MAX_VALUE, Double.MAX_VALUE / 2.0};
  static final double LARGE_VALUES_MEAN = 0.75 * Double.MAX_VALUE;

  static final ImmutableList<Double> OTHER_MANY_VALUES =

          + (-2.2 - MANY_VALUES_MEAN) * (-2.2 - MANY_VALUES_MEAN);
  static final double MANY_VALUES_MAX = 555.555;
  static final double MANY_VALUES_MIN = -44.44;

  // Doubles which will overflow if summed:
  static final double[] LARGE_VALUES = {Double.MAX_VALUE, Double.MAX_VALUE / 2.0};
  static final double LARGE_VALUES_MEAN = 0.75 * Double.MAX_VALUE;

  static final ImmutableList<Double> OTHER_MANY_VALUES =

     * <li>Fields, tags, languages, and roles are merged, maintaining uniqueness</li>
     * <li>Kinds are merged, maintaining uniqueness</li>
     * <li>Frequencies (queryFreq, docFreq) are summed</li>
     * <li>Timestamp and userBoost are taken from item2 (newer values)</li>
     * </ul>
     *
     * @param item1 The first SuggestItem (base item)
     * @param item2 The second SuggestItem (item to merge in)

        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives

    this.range = GeneralRange.all(comparator);
    this.header = new AvlNode<>();
    successor(header, header);
    this.rootReference = new Reference<>();
  }

  /** A function which can be summed across a subtree. */
  private enum Aggregate {
    SIZE {
      @Override
      int nodeAggregate(AvlNode<?> node) {
        return node.elemCount;
      }

      @Override

   * Elements are added in encounter order.
   *
   * <p>If the mapped elements contain duplicates (according to {@link Object#equals}), the element
   * will be added more than once, with the count summed over all appearances of the element.
   *
   * <p>Note that {@code stream.collect(toMultiset(function, e -> 1, supplier))} is equivalent to
   * {@code stream.map(function).collect(Collectors.toCollection(supplier))}.
   *

   * Elements are added in encounter order.
   *
   * <p>If the mapped elements contain duplicates (according to {@link Object#equals}), the element
   * will be added more than once, with the count summed over all appearances of the element.
   *
   * <p>Note that {@code stream.collect(toMultiset(function, e -> 1, supplier))} is equivalent to
   * {@code stream.map(function).collect(Collectors.toCollection(supplier))}.
   *

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            .add("in", "the", "quick", "jumped", "over", "a")
            .build();
    assertThat(set).containsExactly("a", "in", "the", "over", "quick", "jumped").inOrder();
  }

  public void testExplicit_ordering_dupes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "brown", "fox", "jumped", "over", "a", "lazy", "dog")
            .build();

				{Name: "Asia-maps.png"},
				{Name: "Asia/India/India-summer-photos-1"},
				{Name: "Asia/India/Karnataka/Bangalore/Koramangala/pics"},
				{Name: "newPrefix0"},
				{Name: "newPrefix1"},
			},
		},
		// ListObjectsResult-2.
		// (TestCase 24).
		2: {
			IsTruncated: true,
			Objects: []ObjectInfo{
				{Name: "Asia-maps.png"},
				{Name: "Asia/India/India-summer-photos-1"},