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python-descriptors-mro

Skill0 starsChanged 39 days agoMITView on GitHub

Use when designing Python attribute protocols, multiple inheritance, or metaclasses — descriptor precedence, __set_name__, __slots__ interaction, C3 linearization rules, super() order, "MRO conflict" TypeError; applies when building validators, ORM fields, property-like wrappers, or debugging surprising attribute lookups

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SKILL.md

Python Descriptors & MRO

Attribute access walks type(obj).__mro__ via __getattribute__. Data descriptors win over instance __dict__; non-data descriptors lose to it. super() follows the MRO of type(self), not the syntactic parent.

Attribute lookup order

#SourceCondition
1Data descriptor from MROdefines __set__ or __delete__
2obj.__dict__[name]instance variable
3Non-data descriptor / class vardefines only __get__
4__getattr__steps 1–3 all miss

vars(cls)[name] returns the descriptor object itself — bypasses the protocol.

Descriptor protocol

class D:
    def __set_name__(self, owner, name):  # fires once at class creation
        self.private = f'_{name}'
    def __get__(self, obj, objtype=None):
        if obj is None: return self        # access via class
        return getattr(obj, self.private)
    def __set__(self, obj, value):         # presence → DATA descriptor
        setattr(obj, self.private, value)

Descriptors must live on the class. Assigning after definition (setattr(cls, 'x', D())) skips __set_name__ — call it manually.

Functions as descriptors

Wrapper__get__ returns
plain functionMethodType(f, obj)
@classmethodMethodType(f, cls)
@staticmethodthe raw function
@propertyresult of fget(obj)

__slots__

Each slot is a data descriptor into a fixed C array. ~35% faster attribute access, ~3× less memory. Incompatible with functools.cached_property. A subclass without __slots__ re-adds __dict__, erasing the saving.

C3 linearization

L[C(B1..Bn)] = C + merge(L[B1], …, L[Bn], [B1, …, Bn])

Merge rule: take the head of the first list whose head does not appear in the tail of any other list; remove from all; repeat. If none qualifies, raise TypeError: MRO conflict.

class A(X, Y): ...   # L[A] forces X before Y
class B(Y, X): ...   # L[B] forces Y before X
class C(A, B): ...   # TypeError — irreconcilable

Pitfalls

  • Non-data descriptor shadowed by instance attr: obj.m = 5 silently overrides a method-like descriptor. Define __set__ (raise, or accept) to stop it.
  • __set_name__ never fires for post-hoc assignment: setattr(cls, 'x', D()) — call D().__set_name__(cls, 'x') yourself.
  • vars() / obj.__dict__ bypasses descriptors: useful for introspection, dangerous for writes.
  • super() bare form requires a class cell: fails in nested functions or when copied to a class without __class__ closure.
  • "Diamond" inheritance order matters: list the more specific parent first; class G(F, E) fails if E extends F.
  • Redundant bases break C3: class B(A, O) when A already inherits from O — raises TypeError.

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