assertEquals(1, Iterables.size(partitions));
    assertEquals(singletonList(1), partitions.iterator().next());
  }

  public void testPartition_view() {
    List<Integer> list = asList(1, 2);
    Iterable<List<Integer>> partitions = Iterables.partition(list, 2);

    // Changes before the partition is retrieved are reflected
    list.set(0, 3);

    Iterator<List<Integer>> partitions = Iterators.partition(source, 1);
    assertTrue(partitions.hasNext());
    assertTrue(partitions.hasNext());
    assertEquals(ImmutableList.of(1), partitions.next());
    assertFalse(partitions.hasNext());
  }

  public void testPartition_singleton2() {
    Iterator<Integer> source = singletonIterator(1);
    Iterator<List<Integer>> partitions = Iterators.partition(source, 2);

   * <p><b>Note:</b> if {@code iterable} is a {@link List}, use {@link Lists#partition(List, int)}
   * instead.
   *
   * @param iterable the iterable to return a partitioned view of
   * @param size the desired size of each partition (the last may be smaller)
   * @return an iterable of unmodifiable lists containing the elements of {@code iterable} divided
   *     into partitions
   * @throws IllegalArgumentException if {@code size} is nonpositive

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

labels.searchlog_usersessionid=ID utilisateur
labels.searchlog_requestedtime=Heure
labels.searchlog_accesstype=Type d'accès
labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=Nombre de partitions
labels.auto_expand_replicas_for_doc=Développer automatiquement les répliques
labels.clear_crawler_index=Index du robot d'exploration
labels.clear_crawler_index_button=Supprimer l'index du robot d'exploration

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly