if (matchResult == null) {
                null
            } else {
                (matchResult.groupValues[1].toInt() - 4).apply {
                    require(this in 2..23)
                }
            }
        }
    }
}

fun ScheduleTrigger.scheduledTrigger(
    branch: VersionedSettingsBranch,
    policy: SchedulingPolicy,
    pendingChangesOnly: Boolean,

functions with `Annotated` would **not be affected** at all.

If you call those functions in **other places in your code**, the actual **default values** will be kept, your editor will help you notice missing **required arguments**, Python will require you to pass required arguments at **runtime**, you will be able to **use the same functions** for different things and with different libraries (e.g. **Typer** will soon support `Annotated` too, then you could use the same function for an API...

    BodyModel = create_body_model(
        fields=flat_dependant.body_params, model_name=model_name
    )
    required = any(True for f in flat_dependant.body_params if f.required)
    BodyFieldInfo_kwargs: dict[str, Any] = {
        "annotation": BodyModel,
        "alias": "body",
    }
    if not required:
        BodyFieldInfo_kwargs["default"] = None

    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_schema(path: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == [
        {
            "required": True,
            "schema": {"title": "P", "type": "string"},
            "name": "p",
            "in": "cookie",
        }
    ]


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)

                "loc": ["body", "p"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    [
        "/required-bytes",
        "/required-uploadfile",
    ],
)
def test_required(path: str):
    client = TestClient(app)
    response = client.post(path, files=[("p", b"hello")])

                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str_missing(path: str):
    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 422

                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str_missing(path: str, json: Union[dict, None]):
    client = TestClient(app)

            {
                "type": "missing",
                "loc": ["body", "file"],
                "msg": "Field required",
                "input": None,
            },
            {
                "type": "missing",
                "loc": ["body", "fileb"],
                "msg": "Field required",
                "input": None,
            },
            {
                "type": "missing",

                    "item",
                ],
                "msg": "Field required",
                "type": "missing",
            },
            {
                "input": None,
                "loc": [
                    "body",
                    "user",
                ],
                "msg": "Field required",
                "type": "missing",
            },
            {

                    "summary": "Get Items",
                    "operationId": "get_items_items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",
                            "in": "path",
                        }