from fastapi import FastAPI


def fake_answer_to_everything_ml_model(x: float):
    return x * 42


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)

from docs_src.events.tutorial003 import (
    app,
    fake_answer_to_everything_ml_model,
    ml_models,
)


def test_events():
    assert not ml_models, "ml_models should be empty"
    with TestClient(app) as client:
        assert ml_models["answer_to_everything"] == fake_answer_to_everything_ml_model
        response = client.get("/predict", params={"x": 2})

lb: Lëtzebuergesch
lg: Luganda
li: Limburgs
ln: Lingála
lo: ພາສາ
lt: lietuvių kalba
lu: Tshiluba
lv: latviešu valoda
mg: fiteny malagasy
mh: Kajin M̧ajeļ
mi: te reo Māori
mk: македонски јазик
ml: മലയാളം
mn: Монгол хэл
mr: मराठी
ms: Bahasa Malaysia
mt: Malti
my: ဗမာစာ
na: Ekakairũ Naoero
nb: Norsk bokmål
nd: isiNdebele
ne: नेपाली
ng: Owambo
nl: Nederlands
nn: Norsk nynorsk