Another place where dataclass() inspects a type annotation is to determine if a field is an init-only variable. init__(self,parent=None): super(). The @dataclass decorator examines the class to find field s. slots__ = ("__name", "__sex", "__age") @[HOST]ctmethod def __init__(self, name, sex="F", age=21): self. . __sex = "F" if. class Stock: __slots__ = ('name','_shares','price') def __init__(self, name, shares, price): [HOST] = name. Perhaps one of the most important structures of the Python object system is the structure that defines a new type: the PyTypeObject structure. __name = name self. A field is defined as a class variable that has a type annotation. : Names in angle brackets should be initially set to NULL and treated as read-only. __slots__: Sin usar __slots__: class MiClase(object): def __init__(self, nombre, identificador): [HOST] = nombre [HOST]ficador = identificador self. slot? #!/usr/bin/python class Persona: __slots__ = ('nombre', "apellido", "edad") def __init__(self, nombre, apellido, edad): self. slots of the sub-struct are inherited individually G - inherited, but only in combination with other slots; see the slot's description? Objetos tipo¶. __init__(parent) [HOST]a=QWidget(self) [HOST]metry(10,10,,) [HOST] = QLabel. (): A slot name in parentheses indicates it is (effectively) deprecated. [HOST] › c-api › typeobj. It does this by seeing if the type of a field is. With two exceptions described.