openIdConnectUrl=openIdConnectUrl, description=description
        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")
        if not authorization:
            if self.auto_error:
                raise HTTPException(

            flows=cast(OAuthFlowsModel, flows), description=description
        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")
        if not authorization:
            if self.auto_error:
                raise HTTPException(

                        "code": 999,
                        "message": "File limit exceeded",
                    },
                )
            return message

        return inner

    async def __call__(self, scope, receive, send):
        if scope["type"] != "http" or self.max_content_size is None:
            await self.app(scope, receive, send)
            return

        wrapper = self.receive_wrapper(receive)

    if inspect.isclass(call):
        return False
    dunder_call = getattr(call, "__call__", None)  # noqa: B004
    return inspect.iscoroutinefunction(dunder_call)


def is_async_gen_callable(call: Callable[..., Any]) -> bool:
    if inspect.isasyncgenfunction(call):
        return True
    dunder_call = getattr(call, "__call__", None)  # noqa: B004
    return inspect.isasyncgenfunction(dunder_call)

                )

            self.add_route(self.redoc_url, redoc_html, include_in_schema=False)

    async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:
        if self.root_path:
            scope["root_path"] = self.root_path
        await super().__call__(scope, receive, send)

    def add_api_route(
        self,
        path: str,

    Note that this feature is only available with Python 3.7 or higher.

    *   Improve the informativeness of error messages raised by Keras
        `Layer.__call__()`, by adding the full list of argument values passed to
        the layer in every exception.

*   Introduce the `tf.compat.v1.keras.utils.track_tf1_style_variables`