Class Decorator

mypy/nodes.py:1309–1392

A decorated function. A single Decorator object can include any number of function decorators.

class Decorator(SymbolNode, Statement):
    """A decorated function.

    A single Decorator object can include any number of function decorators.
    """

    __slots__ = ("func", "decorators", "original_decorators", "var", "is_overload")

    __match_args__ = ("decorators", "var", "func")

    func: FuncDef  # Decorated function
    decorators: list[Expression]  # Decorators (may be empty)
    # Some decorators are removed by semanal, keep the original here.
    original_decorators: list[Expression]
    # TODO: This is mostly used for the type; consider replacing with a 'type' attribute
    var: Var  # Represents the decorated function obj
    is_overload: bool

    def __init__(self, func: FuncDef, decorators: list[Expression], var: Var) -> None:
        super().__init__()
        self.func = func
        self.decorators = decorators
        self.original_decorators = decorators.copy()
        self.var = var
        self.is_overload = False

    @property
    def name(self) -> str:
        return self.func.name

    @property
    def fullname(self) -> str:
        return self.func.fullname

    @property
    def is_final(self) -> bool:
        return self.func.is_final

    @property
    def info(self) -> TypeInfo:
        return self.func.info

    @property
    def type(self) -> mypy.types.Type | None:
        return self.var.type

    def accept(self, visitor: StatementVisitor[T]) -> T:
        return visitor.visit_decorator(self)

    def serialize(self) -> JsonDict:
        return {
            ".class": "Decorator",
            "func": self.func.serialize(),
            "var": self.var.serialize(),
            "is_overload": self.is_overload,
        }

    @classmethod