background_tasks: StarletteBackgroundTasks | None
    response: Response
    dependency_cache: dict[DependencyCacheKey, Any]


async def solve_dependencies(
    *,
    request: Request | WebSocket,
    dependant: Dependant,
    body: dict[str, Any] | FormData | bytes | None = None,
    background_tasks: StarletteBackgroundTasks | None = None,
    response: Response | None = None,

    websocket: WebSocket,
    session: str | None = Cookie(default=None),
    token: str | None = Query(default=None),
):
    if session is None and token is None:
        raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
    return session or token


@app.websocket("/items/{item_id}/ws")
async def websocket_endpoint(
    websocket: WebSocket,
    item_id: str,
    q: int | None = None,

class ReviewNode(BaseModel):
    author: Author | None = None
    state: str


class Reviews(BaseModel):
    nodes: list[ReviewNode]


class PullRequestNode(BaseModel):
    number: int
    labels: Labels
    author: Author | None = None
    title: str
    createdAt: datetime
    lastEditedAt: datetime | None = None
    updatedAt: datetime | None = None
    state: str
    reviews: Reviews

def test_raises_pydantic_v1_model_in_endpoint_param() -> None:
    class ParamModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/param")
        def endpoint(data: ParamModelV1):  # pragma: no cover
            return data


def test_raises_pydantic_v1_model_in_return_type() -> None:
    class ReturnModelV1(BaseModel):
        name: str

@app.get("/")
async def get():
    return HTMLResponse(html)


async def get_cookie_or_token(
    websocket: WebSocket,
    session: Annotated[str | None, Cookie()] = None,
    token: Annotated[str | None, Query()] = None,
):
    if session is None and token is None:
        raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
    return session or token


@app.websocket("/items/{item_id}/ws")

# Without aliases


@app.post("/optional-str", operation_id="optional_str")
async def read_optional_str(p: Annotated[str | None, Body(embed=True)] = None):
    return {"p": p}


class BodyModelOptionalStr(BaseModel):
    p: str | None = None


@app.post("/model-optional-str", operation_id="model_optional_str")
async def read_model_optional_str(p: BodyModelOptionalStr):
    return {"p": p.p}

        summary: str | None = None,
        description: str | None = None,
        response_description: str = "Successful Response",
        responses: dict[int | str, dict[str, Any]] | None = None,
        deprecated: bool | None = None,
        methods: list[str] | None = None,
        operation_id: str | None = None,
        response_model_include: IncEx | None = None,

        ),
    ]


class HTTPBase(SecurityBase):
    model: HTTPBaseModel

    def __init__(
        self,
        *,
        scheme: str,
        scheme_name: str | None = None,
        description: str | None = None,
        auto_error: bool = True,
    ):
        self.model = HTTPBaseModel(scheme=scheme, description=description)
        self.scheme_name = scheme_name or self.__class__.__name__

        *,
        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],
        *,
        endpoint_ctx: EndpointContext | None = None,
    ) -> None:

    print("LLM translatable languages:", translatable_langs)
    return translatable_langs


@app.command()
def llm_translatable_json(
    language: Annotated[str | None, typer.Option(envvar="LANGUAGE")] = None,
) -> None:
    translatable_langs = get_llm_translatable()
    if language:
        if language in translatable_langs:
            print(json.dumps([language]))
            return
        else: