queue.enqueue(incrementingEvent(counters, listener, 4));
      queue.enqueue(countDownEvent(latch));
      assertEquals(0, counters.size());
      queue.dispatch();
      latch.await();
      assertEquals(multiset(listener, 4), counters);
    } finally {
      service.shutdown();
    }
  }

  public void testEnqueueAndDispatch_multithreaded_withThrowingRunnable()

 * only meant as a utility for developers that want to employ the model builder outside of the Maven build system, Maven
 * plugins should always acquire model builder instances via dependency injection. Developers might want to subclass
 * this factory to provide custom implementations for some of the components used by the model builder.
 *

**FastAPI** напрямую предоставляет тот же самый `WebSocket` просто для удобства. На самом деле это `WebSocket` из Starlette.

///

## Ожидание и отправка сообщений { #await-for-messages-and-send-messages }

Через эндпоинт веб-сокета вы можете получать и отправлять сообщения.

{* ../../docs_src/websockets/tutorial001_py39.py hl[48:52] *}

    * Flatbuffer version update:
        * `GetTemporaryPointer()` bug fixed.

* `tf.data`
    * Add `wait` to `tf.data.Dataset.load`. If `True`, for snapshots written with `distributed_save`, it reads the snapshot while it is being written. For snapshots written with regular `save`, it waits for the snapshot until it's finished. The default is `False` for backward compatibility. Users of `distributed_save` are recommended to set it to `True`.

  @Override
  public int hashCode() {
    return delegate.hashCode();
  }

  private void validate() {
    // Don't use checkState(), because we don't want the overhead of generating the error message
    // unless it's actually going to be used; validate() is called for all set method calls, so it
    // needs to be fast.

			t.Fatalf("Test %d failed to decode expected part-key: %v", i, err)
		}
		partKey := key.DerivePartKey(test.PartID)
		if !bytes.Equal(partKey[:], expectedPartKey) {
			t.Errorf("Test %d derives wrong part-key: got '%s' want: '%s'", i, hex.EncodeToString(partKey[:]), test.PartKey)
		}
	}
}

var sealUnsealETagTests = []string{
	"",
	"90682b8e8cc7609c",
	"90682b8e8cc7609c4671e1d64c73fc30",

     * - A return type is changed for a getter `getX` of an upgraded property
     *
     * We don't automatically accept changes when the @since annotation is missing, because we want to keep this information on the API.
     */
    public static boolean shouldAcceptForUpgradedProperty(JApiMethod jApiMethod, Violation violation, ViolationCheckContext context) {

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

<img src="/img/tutorial/additional-responses/image01.png">

## Combine predefined responses and custom ones { #combine-predefined-responses-and-custom-ones }

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python

            the output should use the alias names (when provided) or the Python
            attribute names. In an API, if you set an alias, it's probably because you
            want to use it in the result, so you probably want to leave this set to
            `True`.
            """
        ),
    ] = True,
    exclude_unset: Annotated[
        bool,
        Doc(
            """