field_info = FieldInfo(annotation=Union[list[str], None])
    field = v2.ModelField(name="items", field_info=field_info)
    result = v2.serialize_sequence_value(field=field, value=["a", "b", "c"])
    assert result == ["a", "b", "c"]
    assert isinstance(result, list)


@needs_py310
def test_serialize_sequence_value_with_optional_list_pipe_union():

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### Tab blocks

        if isinstance(route, routing.APIRoute):
            result = get_openapi_path(
                route=route,
                operation_ids=operation_ids,
                model_name_map=model_name_map,
                field_mapping=field_mapping,
                separate_input_output_schemas=separate_input_output_schemas,
            )
            if result:
                path, security_schemes, path_definitions = result

     * @param v1 sources producer for V1, receiver is the `src/main` directory
     * @param v2 sources producer for V2, receiver is the `src/main` directory
     * @param block convenience block invoked on the result
     * @return the check result
     */
    private
    fun runBinaryCompatibilityCheck(v1: File.() -> Unit, v2: File.() -> Unit, block: CheckResult.() -> Unit = {}): CheckResult {
        rootDir.withFile("version.txt", "1.0")

            the output should use the alias names (when provided) or the Python
            attribute names. In an API, if you set an alias, it's probably because you
            want to use it in the result, so you probably want to leave this set to
            `True`.
            """
        ),
    ] = True,
    exclude_unset: Annotated[
        bool,
        Doc(
            """

        ):
            # 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:

    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.