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While you can dynamically add attributes to “things” in Python, slots restrict this functionality. When you add a __slots__ attribute to a class, you pre-define which member attributes you allow.
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class MyClass( object ) : m = None # my attribute __slots__ = ( "m" ) # ensure that object has no _m etc a = MyClass() # create one a.m = ".
Understand __slots__ in Python
Variables or attributes not present in .__slots__ may not be defined. Furthermore, a slots class may not have default values.
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The Data Class decorator is called after the class is created, so in order to add __slots__ the decorator would have to create a new class, set __slots__, and return it.
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dataclasses.dataclass(slots=True) # py310+ class SlottedColor: #__slots__ = ["r", "b", "g"] # alternative r : int g : int b : int.
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I'm writing a module that needs to run under both Python 3.8 and Python 3.10. I want to have dataclasses that have slots (@dataclasses.dataclass(slots=True)) in Python 3.10 for the purposes of type
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It also prevents the creation of any variables that aren't declared in __slots__ ... The point to remember is that default values for variables declared in __slots__ cannot be set using class attributes.
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from dataclasses import dataclass @dataclass class SimplePosition: name: str lon: float lat: float @dataclass class SlotPosition: __slots__ = ['name', 'lon', 'lat'] name: str lon: float lat: float.
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What are slots in python. ... Python utilises a considerably more compact internal representation for instances when you define _slots_.
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