lifespan: Annotated[
            Optional[Lifespan[Any]],
            Doc(
                """
                A `Lifespan` context manager handler. This replaces `startup` and
                `shutdown` functions with a single context manager.

                Read more in the
                [FastAPI docs for `lifespan`](https://fastapi.tiangolo.com/advanced/events/).
                """
            ),

* «the form body»: «der Formularbody»
* «the header»: «der Header»
* «the headers» (plural): «die Header»
* «in headers» (plural): «in Headern»
* «the forwarded header»: «der Forwarded-Header»
* «the lifespan event»: «das Lifespan-Event»
* «the lock»: «der Lock»
* «the locking»: «das Locking»
* «the mobile application»: «die Mobile-Anwendung»
* «the model object»: «das Modellobjekt»
* «the mounting»: «das Mounten»

        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()

        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()

ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):