res[i] = Name(i + 1)
		}
		return res
	default:
		return []Name{name}
	}
}

// Mask returns the type as mask.
// Compound "All" types are expanded.
func (name Name) Mask() uint64 {
	if name < objectSingleTypesEnd {
		return 1 << (name - 1)
	}
	var mask uint64
	for _, n := range name.Expand() {
		mask |= 1 << (n - 1)
	}
	return mask
}

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}


@app.put("/items/{item_id}")

    dependant = Dependant(
        call=call,
        name=name,
        path=path,
        security_scopes=security_scopes,
        use_cache=use_cache,
    )
    for param_name, param in signature_params.items():
        is_path_param = param_name in path_param_names
        type_annotation, depends, param_field = analyze_param(
            param_name=param_name,
            annotation=param.annotation,

    summary: Optional[str] = None,
    description: Optional[str] = None,
    routes: Sequence[BaseRoute],
    webhooks: Optional[Sequence[BaseRoute]] = None,
    tags: Optional[List[Dict[str, Any]]] = None,
    servers: Optional[List[Dict[str, Union[str, Any]]]] = None,
    terms_of_service: Optional[str] = None,
    contact: Optional[Dict[str, Union[str, Any]]] = None,

def lang_callback(lang: Optional[str]) -> Union[str, None]:
    if lang is None:
        return None
    lang = lang.lower()
    return lang


def complete_existing_lang(incomplete: str):
    lang_path: Path
    for lang_path in get_lang_paths():
        if lang_path.is_dir() and lang_path.name.startswith(incomplete):
            yield lang_path.name


@app.callback()
def callback() -> None:
    if is_mkdocs_insiders():

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

    async def __call__(
        self, request: Request

                """
            ),
        ] = None,
        scheme_name: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme name.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        scopes: Annotated[
            Optional[Dict[str, str]],

    ref: Optional[str] = Field(default=None, alias="$ref")
    summary: Optional[str] = None
    description: Optional[str] = None
    get: Optional[Operation] = None
    put: Optional[Operation] = None
    post: Optional[Operation] = None
    delete: Optional[Operation] = None
    options: Optional[Operation] = None
    head: Optional[Operation] = None
    patch: Optional[Operation] = None
    trace: Optional[Operation] = None

    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


@needs_py310
def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})

    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})
    assert response.status_code == 200