* to {@code statusFuture} <i>in addition to</i> the call you make to {@link #finishToFuture()} or
   * a derivation method <i>on the same instance</i>. This is important because calling {@code
   * statusFuture} alone does not provide a way to close the pipeline.
   */
  public ListenableFuture<?> statusFuture() {
    try {
      return nonCancellationPropagating(state.future.transform(constant(null), directExecutor()));

        app = FastAPI()

        @app.head("/items/", status_code=204)
        def get_items_headers(response: Response):
            response.headers["X-Cat-Dog"] = "Alone in the world"
        ```
        """
        return self.router.head(
            path,
            response_model=response_model,
            status_code=status_code,
            tags=tags,

        packages that cannot be found unless the user installs them beforehand
        or provides additional installation flags.
    *   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.
    *   Depending on the installation method, TensorFlow 2.14 would be installed