Improve `object.__reduce_ex__` performance up to 20%

Feature or enhancement

Context

Currently, when object.__reduce_ex__ is called, it might forward the call to __reduce__.

For this to happen the following must be true:

1. __reduce__ must be defined as class attribute and must not be object.__reduce__
2. __reduce__ must be defined as instance attribute

Roughly the following logic is ran:

class object:
    def __reduce_ex__(self, protocol: int) -> tuple:
        reduce = getattr(self, "__reduce__", None)  # <-- might not be necessary
        if reduce is not None:
            if getattr(type(self), "__reduce__", None) is not object.__reduce__:  # <-- real descriminator
                return reduce()
            # `reduce` above is thrown away, but we paid upfront cost to look it up
        return self._common_reduce(protocol)

Looking at this it's evident, that we always need to check the first condition, but might not need to check the second one.

Proposal

1. Lookup instance attribute only after class-level override is confirmed
2. Replace PyObject_GetAttr to _Py_LookupRef — just a little speedup

def _PyType_Lookup(cls, name):
    for base in cls.__mro__:
        if name in base.__dict__:
            return base.__dict__[name]
    return None

class object:
    def __reduce_ex__(self, protocol: int) -> tuple:
        if _PyType_Lookup(type(self), "__reduce__") is not object.__reduce__:
            reduce = getattr(self, "__reduce__", None)
            if reduce is not None:
                return reduce()
        return self._common_reduce(protocol)

Why not

Proposed change would make the following code behave differently (this is the only case when behavior differs I've been able to come up with):

class X:
    def __getattribute__(self, name):
        if name == "__reduce__":
            raise RuntimeError("Boom!")
        return object.__getattribute__(self, name)

x = X()
x.__reduce_ex__(5)  # current implementation will raise, proposed will not

Descriptors behavior is not affected by the change since they will always be defined as class attributes.

Potential speedup

"""
pyperf benchmarks for object.__reduce_ex__ behavior relevant to a CPython patch
that changes the lookup order from:

    1. self.__reduce__
    2. type(self).__reduce__

to:

    1. type(self).__reduce__
    2. self.__reduce__ only if the class actually overrides it

Usage:
    ./python bench_reduce_ex.py
    ./python bench_reduce_ex.py -o patched.json

Compare:
    python -m pyperf compare_to baseline.json patched.json
"""

import pickle
from dataclasses import dataclass
from functools import partial

import pyperf


class Default:
    pass


default_obj = Default()


class SlotsDefault:
    __slots__ = ()


slots_default_obj = SlotsDefault()


class DefaultWithInstanceReduce:
    pass


instance_shadow_obj = DefaultWithInstanceReduce()
instance_shadow_obj.__reduce__ = lambda: (DefaultWithInstanceReduce, ())


class ClassOverride:
    def __reduce__(self):
        return ClassOverride, ()


class_override_obj = ClassOverride()


class ClassOverrideWithGetattribute:
    def __getattribute__(self, name):
        return object.__getattribute__(self, name)

    def __reduce__(self):
        return ClassOverrideWithGetattribute, ()


class_override_getattribute_obj = ClassOverrideWithGetattribute()


@dataclass
class Data:
    x: int
    y: str


small_dataclass = Data(42, "foo")


def main():
    runner = pyperf.Runner()

    runner.bench_func(
        "default_reduce_ex",
        partial(default_obj.__reduce_ex__, 4),
    )
    runner.bench_func(
        "slots_default_reduce_ex",
        partial(slots_default_obj.__reduce_ex__, 4),
    )
    runner.bench_func(
        "instance_shadow_reduce_ex",
        partial(instance_shadow_obj.__reduce_ex__, 4),
    )
    runner.bench_func(
        "small_dataclass_reduce_ex",
        partial(small_dataclass.__reduce_ex__, 4),
    )
    runner.bench_func(
        "class_override_reduce_ex",
        partial(class_override_obj.__reduce_ex__, 4),
    )
    runner.bench_func(
        "class_override_getattribute_reduce_ex",
        partial(class_override_getattribute_obj.__reduce_ex__, 4),
    )

    runner.bench_func(
        "pickle_dumps_default",
        partial(pickle.dumps, default_obj),
    )
    runner.bench_func(
        "pickle_dumps_slots_default",
        partial(pickle.dumps, slots_default_obj),
    )
    runner.bench_func(
        "pickle_dumps_class_override",
        partial(pickle.dumps, class_override_obj),
    )
    runner.bench_func(
        "pickle_small_dataclass",
        partial(pickle.dumps, small_dataclass),
    )


if __name__ == "__main__":
    main()

Has this already been discussed elsewhere?

This is a minor feature, which does not need previous discussion elsewhere

Links to previous discussion of this feature:

No response

Linked PRs

• gh-148281

Comienza con Objects/typeobject.c en las líneas enlazadas alrededor de object.reduce_ex, y después revisa el cambio propuesto en el orden de búsqueda y su ejemplo de comportamiento. Usa el benchmark de pyperf incluido, bench_reduce_ex.py, para comparar los casos de reduce_ex y pickle enumerados; se considera terminado cuando la optimización conserva el comportamiento indicado y mejora el rendimiento reportado.