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 {

			testResults = append(testResults, result{dir, entries})
			t.Fatalf("Unable to create file, %s", err)
		}
		entries = append(entries, name)
	}

	// Keep entries sorted for easier comparison.
	sort.Strings(entries)

	// Add entries slice for this test directory.
	testResults = append(testResults, result{dir, entries})
	return testResults
}

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

    if (k == 0 || !iterator.hasNext()) {
      return Collections.emptyList();
    } else if (k >= Integer.MAX_VALUE / 2) {
      // k is really large; just do a straightforward sorted-copy-and-sublist
      ArrayList<E> list = Lists.newArrayList(iterator);
      Collections.sort(list, this);
      if (list.size() > k) {
        list.subList(k, list.size()).clear();
      }
      list.trimToSize();

func (m metaCacheEntries) less(i, j int) bool {
	return m[i].name < m[j].name
}

// sort entries by name.
// m is sorted and a sorted metadata object is returned.
// Changes to m will also be reflected in the returned object.
func (m metaCacheEntries) sort() metaCacheEntriesSorted {
	if m.isSorted() {
		return metaCacheEntriesSorted{o: m}
	}
	sort.Slice(m, m.less)
	return metaCacheEntriesSorted{o: m}
}

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

  /**
   * Returns a builder that creates immutable sorted maps whose keys are ordered by their natural
   * ordering. The sorted maps use {@link Ordering#natural()} as the comparator.
   */
  public static <K extends Comparable<?>, V> Builder<K, V> naturalOrder() {
    return new Builder<>(Ordering.natural());
  }

  /**
   * Returns a builder that creates immutable sorted maps with an explicit comparator. If the

   * 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));
  }

  /**

 * Double#NaN NaN}. (This is the one occasion when the behaviour is not the same as you'd get from
 * sorting with {@link java.util.Arrays#sort(double[]) Arrays.sort(double[])} or {@link
 * java.util.Collections#sort(java.util.List) Collections.sort(List<Double>)} and selecting
 * the required value(s). Those methods would sort {@link Double#NaN NaN} as if it is greater than
 * any other value and place them at the end of the dataset, even after {@link

      return "UnsignedLongs.lexicographicalComparator()";
    }
  }

  /**
   * Sorts the array, treating its elements as unsigned 64-bit integers.
   *
   * @since 23.1
   */
  public static void sort(long[] array) {
    checkNotNull(array);
    sort(array, 0, array.length);
  }

  /**
   * Sorts the array between {@code fromIndex} inclusive and {@code toIndex} exclusive, treating its