field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], dict[str, Any]
    ],
    separate_input_output_schemas: bool = True,
) -> tuple[dict[str, Any], dict[str, Any], dict[str, Any]]:
    path = {}
    security_schemes: dict[str, Any] = {}
    definitions: dict[str, Any] = {}
    assert route.methods is not None, "Methods must be a list"

    set: list,
    UUID: str,
    Url: str,
    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: dict[Any, Callable[[Any], Any]],
) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
    encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():
        encoders_by_class_tuples[encoder] += (type_,)

        when(mockSearchBuilder.setScroll(any(Scroll.class))).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.setSize(10)).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.setQuery(any())).thenReturn(mockSearchBuilder);
        when(mockSearchBuilder.execute()).thenReturn(mockSearchFuture);
        when(mockSearchFuture.actionGet(anyLong(), any(TimeUnit.class))).thenReturn(mockSearchResponse);

        self,
        errors: Sequence[Any],
        *,
        body: Any = None,
        endpoint_ctx: EndpointContext | None = None,
    ) -> None:
        super().__init__(errors, endpoint_ctx=endpoint_ctx)
        self.body = body


class WebSocketRequestValidationError(ValidationException):
    def __init__(
        self,
        errors: Sequence[Any],
        *,

* don't have a `Content-Type` header (e.g. using `fetch()` with a `Blob` body)
* and don't send any authentication credentials.

This type of attack is mainly relevant when:

* the application is running locally (e.g. on `localhost`) or in an internal network

You can return a `Response` or any sub-class of it.

/// info

`JSONResponse` itself is a sub-class of `Response`.

///

And when you return a `Response`, **FastAPI** will pass it directly.

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of **flexibility**. You can return any data type, override any data declaration or validation, etc.

You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.

Just use any kind of model, any kind of class, any kind of database that you need for your application. **FastAPI** has you covered with the dependency injection system.

## Code size { #code-size }

// Type is here for the purposes of documentation only. It is a stand-in
// for any Go type, but represents the same type for any given function
// invocation.
type Type int

// Type1 is here for the purposes of documentation only. It is a stand-in
// for any Go type, but represents the same type for any given function
// invocation.
type Type1 int

   * <p>Providing a graph to be traversed for which there is more than one path from the start
   * node(s) to any node may lead to:
   *
   * <ul>
   *   <li>Traversal not terminating (if the graph has cycles)
   *   <li>Nodes being visited multiple times (if multiple paths exist from any start node to any
   *       node reachable from any start node)
   * </ul>
   *
   * <p><b>Performance notes</b>
   *
   * <ul>

  private val forbiddenLocks = mutableSetOf<Any>()

  /** The timestamp of the last taken event, used to measure elapsed time between events. */
  private var lastTimestampNs: Long? = null

  /** Confirm that the thread does not hold a lock on `lock` during the callback. */
  fun forbidLock(lock: Any) {
    forbiddenLocks.add(lock)
  }

  /**