List<List<Integer>> partitions = partition(source, 1);
    assertEquals(1, partitions.size());
    assertEquals(singletonList(1), partitions.get(0));
  }

  public void testPartition_1_2() {
    List<Integer> source = singletonList(1);
    List<List<Integer>> partitions = partition(source, 2);
    assertEquals(1, partitions.size());
    assertEquals(singletonList(1), partitions.get(0));
  }

  public void testPartition_2_1() {

    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);

    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);

   * <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

      }
    }
  }

  /**
   * Partitions the contents of buffer in the range [left, right] around the pivot element
   * previously stored in buffer[pivotValue]. Returns the new index of the pivot element,
   * pivotNewIndex, so that everything in [left, pivotNewIndex] is ≤ pivotValue and everything in
   * (pivotNewIndex, right] is greater than pivotValue.
   */
  private int partition(int left, int right, int pivotIndex) {

  }

  /**
   * Guides the allowed concurrency among update operations. Used as a hint for internal sizing. The
   * 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

   * <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

        }
      }
    ```

### Timeouts ([.kt][ConfigureTimeoutsKotlin], [.java][ConfigureTimeoutsJava])

Use timeouts to fail a call when its peer is unreachable. Network partitions can be due to client connectivity problems, server availability problems, or anything between. OkHttp supports connect, write, read, and full call timeouts.

=== ":material-language-kotlin: Kotlin"
    ```kotlin

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

        swap(array, min, from);
      }
      return;
    }

    // Let's play quickselect! We'll repeatedly partition the range [from, to] containing the
    // required element, as long as it has more than one element.
    while (to > from) {
      int partitionPoint = partition(array, from, to);
      if (partitionPoint >= required) {
        to = partitionPoint - 1;
      }