Classes and metaclasses for easier ``__slots__`` handling.
Project description
autoslot
Automatic “__slots__”.
Demo
from autoslot import Slots
class Compact(Slots):
def __init__(self, a, b):
self.x = a
self.y = b
This produces exactly the same class as if you had done:
class Compact:
__slots__ = {'x', 'y'}
def __init__(self, a, b):
self.x = a
self.y = b
Simply: the code inside __init__() is scanned to find all assignments to attributes on self, and these are added as __slots__.
The benefit of using autoslot.Slots over a manual slots declaration is that you can modify the code inside the __init__() method to add more attributes, and those changes will automatically be reflected in the __slots__ definition.
You can also have the best of both worlds: slots for fields you expect, as well as a __dict__ for those you don’t:
from autoslot import SlotsPlusDict
class SemiCompact(SlotsPlusDict):
def __init__(self, a, b):
self.x = a
self.y = b
inst = SemiCompact(1, 2)
inst.z = 123 # <-- This won't fail!
Attributes x and y will be stored in slots, while all other dynamically-assigned attributes will go into the usual __dict__ instance inside the class. If most of your class’s attributes appear in the __init__() method (these will become slots), then the space bloat caused by dictionary hash-table expansion will be contained to only the dynamically-assigned attributes.
How does it work?
See for yourself! The code is tiny.
In words: the metaclass finds the __init__() method, if present, and accesses its bytecode. It looks for all assignments to attributes of self, and considers those to be desired __slots__ entries. Then the metaclass injects __slots__ into the namespace of the class definition and thereafter allows class creation to proceed as normal.
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