* them until they are needed.  When there is no contention, all
   * updates are made to the base field.  Upon first contention (a
   * failed CAS on base update), the table is initialized to size 2.
   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the
   * number of CPUS. Table slots remain empty (null) until they are
   * needed.
   *

                "PlaneItem": {
                    "title": "PlaneItem",
                    "required": IsOneOf(
                        ["description", "type", "size"],
                        # TODO: remove when deprecating Pydantic v1
                        ["description", "size"],
                    ),
                    "type": "object",
                    "properties": {

    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();
    assertEquals(multiset(listener, 4), counters);
  }

  public void testEnqueueAndDispatch_multipleListeners() {
    Object listener1 = new Object();

    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();
    assertEquals(multiset(listener, 4), counters);
  }

  public void testEnqueueAndDispatch_multipleListeners() {
    Object listener1 = new Object();

  typedef void (*MemoryReleaser)(void* data, size_t len, void* arg);

  // Create a tensor instance from the given data buffer and description.
  // `memory_releaser` will be called on destruction, and it's responsible for
  // cleaning up the underlying buffer.
  virtual AbstractTensorInterface* CreateTensor(
      DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len,

    for (C col : columnSpace) {
      columns.put(col, new LinkedHashMap<R, V>());
    }
    int[] cellRowIndices = new int[cellList.size()];
    int[] cellColumnInRowIndices = new int[cellList.size()];
    for (int i = 0; i < cellList.size(); i++) {
      Cell<R, C, V> cell = cellList.get(i);
      R rowKey = cell.getRowKey();
      C columnKey = cell.getColumnKey();
      V value = cell.getValue();

   * size() as a hint only.
   *
   * @param delta the difference between the true size of the collection and the values returned by
   *     the size method
   */
  public static <T extends @Nullable Object> Collection<T> misleadingSizeCollection(int delta) {
    // It would be nice to be able to return a real concurrent
    // collection like ConcurrentLinkedQueue, so that e.g. concurrent

    assertNodeRemovedFromGraphErrorMessage(
        assertThrows(IllegalStateException.class, n1Successors::size));
    assertNodeRemovedFromGraphErrorMessage(
        assertThrows(IllegalStateException.class, n1IncidentEdges::size));
    assertNodeRemovedFromGraphErrorMessage(
        assertThrows(IllegalStateException.class, n1InEdges::size));
    assertNodeRemovedFromGraphErrorMessage(

        return true;
      }
      if (object instanceof CharArrayAsList) {
        CharArrayAsList that = (CharArrayAsList) object;
        int size = size();
        if (that.size() != size) {
          return false;
        }
        for (int i = 0; i < size; i++) {
          if (array[start + i] != that.array[that.start + i]) {
            return false;
          }
        }
        return true;
      }

    assertEquals(underlying.size(), map.size());

    underlying.put("d", 4);
    assertEquals(underlying.size(), map.size());
    assertEquals("4", map.get("d"));

    underlying.remove("c");
    assertEquals(underlying.size(), map.size());
    assertFalse(map.containsKey("c"));

    underlying.clear();
    assertEquals(underlying.size(), map.size());
  }