* FutureTask}, {@code ListenableFutureTask} does not provide an overrideable {@link
 * FutureTask#done() done()} method. For similar functionality, call {@link #addListener}.
 *
 * <p>Few users should use this class. It is intended primarily for those who are implementing an
 * {@code ExecutorService}. Most users should call {@link ListeningExecutorService#submit(Callable)
 * ListeningExecutorService.submit} on a service obtained from {@link

    def __call__(self, request: Request):
        return "test"


@needs_py310
def test_stringified_annotations():
    app = FastAPI()

    client = TestClient(app)

    @app.get("/test/")
    def call(test: Annotated[str, Depends(Dep())]):
        return {"test": test}

    response = client.get("/test")

internal class DerWriter(
  sink: BufferedSink,
) {
  /** A stack of buffers that will be concatenated once we know the length of each. */
  private val stack = mutableListOf(sink)

  /** Type hints scoped to the call stack, manipulated with [pushTypeHint] and [popTypeHint]. */
  private val typeHintStack = mutableListOf<Any?>()

  /**
   * The type hint for the current object. Used to pick adapters based on other fields, such as

    ListeningScheduledExecutorService executor = TestingExecutors.noOpScheduledExecutor();
    taskDone = false;
    Callable<Boolean> task =
        new Callable<Boolean>() {
          @Override
          public Boolean call() {
            taskDone = true;
            return taskDone;
          }
        };
    List<Future<Boolean>> futureList = executor.invokeAll(ImmutableList.of(task), 10, MILLISECONDS);

    ListeningScheduledExecutorService executor = TestingExecutors.noOpScheduledExecutor();
    taskDone = false;
    Callable<Boolean> task =
        new Callable<Boolean>() {
          @Override
          public Boolean call() {
            taskDone = true;
            return taskDone;
          }
        };
    List<Future<Boolean>> futureList = executor.invokeAll(ImmutableList.of(task), 10, MILLISECONDS);

        when(delegate.hasNext()).thenReturn(true, true, false);
        when(delegate.next()).thenReturn(skip, take);

        // First call: reject, Second call: accept
        when(filter.accept(any(SmbResource.class))).thenReturn(false, true);

        NetServerFileEntryAdapterIterator itr = new NetServerFileEntryAdapterIterator(parent, delegate, filter);

  tensorflow::mutex mu TF_ACQUIRED_AFTER(TF_Graph::mu);
  int last_num_graph_nodes;

  // If true, TF_SessionRun and similar methods will call
  // ExtendSessionGraphHelper before running the graph (this is the default
  // public behavior). Can be set to false if the caller needs to call
  // ExtendSessionGraphHelper manually.
  std::atomic<bool> extend_before_run;
};

struct TF_ImportGraphDefOptions {

        long secondCall = response.getOffset();
        long thirdCall = response.getOffset();

        assertEquals(66L, firstCall, "First call should return 66");
        assertEquals(66L, secondCall, "Second call should return 66");
        assertEquals(66L, thirdCall, "Third call should return 66");
    }

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

Ce chapitre n'est qu'un **tutoriel rapide / rappel** sur les annotations de type Python.

    ```
    """

    def add_task(
        self,
        func: Annotated[
            Callable[P, Any],
            Doc(
                """
                The function to call after the response is sent.

                It can be a regular `def` function or an `async def` function.
                """
            ),
        ],
        *args: P.args,
        **kwargs: P.kwargs,