] = None,
    *,
    use_cache: Annotated[
        bool,
        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be
            re-used for the rest of the request.

class HTTPAuthorizationCredentials(BaseModel):
    """
    The HTTP authorization credentials in the result of using `HTTPBearer` or
    `HTTPDigest` in a dependency.

    The HTTP authorization header value is split by the first space.

    The first part is the `scheme`, the second part is the `credentials`.

    For example, in an HTTP Bearer token scheme, the client will send a header
    like:

    ```

) -> ModelField:
    if PYDANTIC_V2:
        return field
    # cloned_types caches already cloned types to support recursive models and improve
    # performance by avoiding unnecessary cloning
    if cloned_types is None:
        cloned_types = _CLONED_TYPES_CACHE

    original_type = field.type_
    if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):

                """
            ),
        ] = None,
        auto_error: Annotated[
            bool,
            Doc(
                """
                By default, if the query parameter is not provided, `APIKeyQuery` will
                automatically cancel the request and send the client an error.

                If `auto_error` is set to `False`, when the query parameter is not

    operation_security = []
    for security_requirement in flat_dependant.security_requirements:
        security_definition = jsonable_encoder(
            security_requirement.security_scheme.model,
            by_alias=True,
            exclude_none=True,
        )
        security_name = security_requirement.security_scheme.scheme_name
        security_definitions[security_name] = security_definition

}


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_,)
    return encoders_by_class_tuples

            return self._type_adapter.dump_python(
                value,
                mode=mode,
                include=include,
                exclude=exclude,
                by_alias=by_alias,
                exclude_unset=exclude_unset,
                exclude_defaults=exclude_defaults,
                exclude_none=exclude_none,
            )

        def __hash__(self) -> int: