- dict classes
A regular class whose attributes are stored in the
__dict__attribute of every single instance. This is quite wasteful especially for objects with very few data attributes and the space consumption can become significant when creating large numbers of instances.
This is the type of class you get by default both with and without
- slotted classes
A class that has no
__dict__attribute and defines its attributes in a
__slots__attribute instead. In
attrs, they are created by passing
Their main advantage is that they use less memory on CPython 1.
However they also come with several possibly surprising gotchas:
Slotted classes don’t allow for any other attribute to be set except for those defined in one of the class’ hierarchies
>>> import attr >>> @attr.s(slots=True) ... class Coordinates(object): ... x = attr.ib() ... y = attr.ib() ... >>> c = Coordinates(x=1, y=2) >>> c.z = 3 Traceback (most recent call last): ... AttributeError: 'Coordinates' object has no attribute 'z'
Slotted classes can inherit from other classes just like non-slotted classes, but some of the benefits of slotted classes are lost if you do that. If you must inherit from other classes, try to inherit only from other slotted classes.
Slotted classes must implement
__setstate__to be serializable with
pickleprotocol 0 and 1. Therefore,
attrscreates these methods automatically for
slots=Trueclasses (Python 2 uses protocol 0 by default).
This can be avoided by setting
@attr.s(getstate_setstate=False)or by setting
Slotted classes are weak-referenceable by default. This can be disabled in CPython by passing
Since it’s currently impossible to make a class slotted after it’s been created,
attrshas to replace your class with a new one. While it tries to do that as graciously as possible, certain metaclass features like
__init_subclass__do not work with slotted classes.