):
            # For types
            assert isinstance(value, sequence_types)
            results: list[Union[bytes, str]] = []

            async def process_fn(
                fn: Callable[[], Coroutine[Any, Any, Any]],
            ) -> None:
                result = await fn()
                results.append(result)  # noqa: B023

            async with anyio.create_task_group() as tg:

    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    >>> decimal_encoder(Decimal("1.0"))
    1.0

    >>> decimal_encoder(Decimal("1"))
    1

    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

**Note**: This is the recommended way going forward, instead of using `startup` and `shutdown` events.