private_attribute_cpp

PyPI License: MIT

True C++-style private attributes for Python, enforced at the C level.

A C++ extension module (private_attribute) that lets you declare attributes that are only accessible from inside the class that owns them — genuinely hidden from the outside world, from subclasses, and from hasattr(), dir(), and obj.__dict__. Unlike Python's name-mangling (_Class__name) and the leading-underscore convention, these attributes cannot be reached at all from outside the declaring class's own code.

Note: CPython only. Requires Python ≥ 3.10.

Table of contents

Why?

Python gives you a convention (_private) and a name-mangling trick (__name → _ClassName__name), but neither is an actual access barrier. Any code that knows (or can guess) the mangled name can still read and mutate your "private" state.

private_attribute implements the real thing in C++:

  • Private attributes are not stored in __dict__.
  • They are unreachable from outside the class that declares them — including from subclasses and from getattr/hasattr/dir.
  • Inside the declaring class, they look and behave like ordinary attributes.

It does this by rewriting attribute access in tp_getattro / tp_setattro and storing private values under generated, collision-resistant names (a tuple of two SHA-256 hashes).

Installation

pip install private-attribute-cpp

Prebuilt wheels are published for CPython 3.10–3.15 (including free-threaded t builds) across Linux, macOS, and Windows.

Quick start

from private_attribute import PrivateAttrBase

class BankAccount(PrivateAttrBase):
    __private_attrs__ = ["_balance"]

    def __init__(self, balance):
        self._balance = balance

    def deposit(self, amount):
        self._balance += amount      # ✅ accessible inside the class

    @property
    def balance(self):
        return self._balance

acct = BankAccount(100)
print(acct.balance)     # 100
acct.deposit(50)
print(acct.balance)     # 150

print(hasattr(acct, "_balance"))   # False — truly hidden
print(acct._balance)               # AttributeError: private attribute

Core concepts

Declaring private attributes

List the private names in the __private_attrs__ class attribute:

from private_attribute import PrivateAttrBase

class MyClass(PrivateAttrBase):
    __private_attrs__ = ["a", "b", "c"]   # string, or a sequence of strings

    def __init__(self):
        self.a = 1
        self.b = 2
        self.c = 3

    def show(self):
        print(self.a, self.b, self.c)     # (1, 2, 3) — visible inside

obj = MyClass()
obj.show()                                # 1 2 3
print(hasattr(obj, "a"))                  # False
print(hasattr(obj, "b"))                  # False
print(hasattr(obj, "c"))                  # False
  • Private attributes may be set on instances or on the class itself (class-level private state, e.g. for @classmethod).
  • They also cover private methods: declare a method name in __private_attrs__ and it becomes callable only from the class's own code.
  • They work alongside __slots__ (see notes below).

Custom name generation (private_func)

By default private values are stored under generated hash names. You can control how the storage name is derived with a private_func callable, which receives the object id and the attribute name:

from private_attribute import PrivateAttrBase

def my_generate_func(obj_id, attr_name):
    return f"_hidden_{obj_id}_{attr_name}"

class MyClass(PrivateAttrBase, private_func=my_generate_func):
    __private_attrs__ = ["secret"]

    def __init__(self):
        self.secret = 42

    def read(self):
        return self.secret

private_func may be passed either as a keyword in the class definition (shown above) or on PrivateAttrBase itself. It is optional; the default generates a tuple of two SHA-256 hashes.

Decorated methods (PrivateWrapProxy)

Decorators that return a plain wrapper object (anything other than property / classmethod / staticmethod) would normally break private attribute access, because the wrapper's bytecode is not recognized as belonging to the class. PrivateWrapProxy makes arbitrary decorators compatible:

from private_attribute import PrivateAttrBase, PrivateWrapProxy

def deco(func):
    def wrapper(*args, **kwargs):
        return func(*args, **kwargs)
    return wrapper

class MyClass(PrivateAttrBase):
    __private_attrs__ = ["a", "b"]

    @PrivateWrapProxy(deco)
    def method1(self):
        return self.a

    @PrivateWrapProxy(deco)
    @PrivateWrapProxy(deco)
    def method2(self):
        return self.b

PrivateWrapProxy(decorator) returns a _PrivateWrap object that wraps the decorator application. It exposes two public attributes:

  • .result — the final decorated result.
  • .funcs — a read-only list proxy (_listproxy) of the original (pre-decoration) functions.

To stack decorators, resolve name conflicts, or fix decorator ordering, chain .result.<attr> onto the wrapped method and pass the method itself as the second argument (which saves the previous functions):

class MyClass(PrivateAttrBase):
    __private_attrs__ = ["a", "b", "c"]

    @PrivateWrapProxy(deco1)
    def method1(self):
        return self.a

    @PrivateWrapProxy(method1.result.name1, method1)
    @PrivateWrapProxy(method1.result.name2, method1)
    def method1(self):        # final implementation; earlier ones are kept
        return self.b

    @PrivateWrapProxy(deco2)
    def method2(self):
        return self.c

The _PrivateWrap object is transparent in normal use: it forwards __getattr__, __call__, and descriptor __get__ to its .result, so callers interact with the wrapped method as usual.

Inheritance and use_parents

Since v2.1.0, a subclass's code cannot access its parent's private attributes — a parent's private attribute is reachable only from the parent's own code, or from a class that re-declares the same name in its own __private_attrs__. When a subclass re-declares the same name, the two are stored separately (instance attributes per declaring class, class-level attributes per class).

Since v2.2.0, you can opt in to inheriting all ancestors' private names with use_parents=True:

class Parent(PrivateAttrBase):
    __private_attrs__ = ["_secret"]
    def __init__(self):
        self._secret = 1
    def get_secret(self):
        return self._secret

class Child(Parent, use_parents=True):
    __private_attrs__ = []
    def __init__(self):
        super().__init__()
        self._secret = 99        # stored in Child's own storage
    def read_own(self):
        return self._secret

obj = Child()
obj.get_secret()   # 1  — parent code sees the parent's value
obj.read_own()     # 99 — child code sees its own value

The merged names live in the subclass's own storage — they never overwrite the parent's values. The Python-level __private_attrs__ tuple is left unchanged; only the internal name set is merged. Default is False.

API reference

Name Kind Purpose
PrivateAttrBase class (metaclass PrivateAttrType) Inherit from this to make a class with private attributes.
PrivateAttrType metaclass The metaclass that implements the private-attribute machinery.
PrivateWrapProxy(decorator, orig=None) decorator Wrap an arbitrary decorator so it stays private-attribute-aware.
_PrivateWrap class Returned by PrivateWrapProxy; exposes .result and .funcs.
prepare(name, bases, attrs, **kwds) function Context manager for building private-attribute classes in a custom metaclass.
postprocess(typ, temp) function Finalize a class created via prepare.
register_metaclass(metaclass) function Register a custom metaclass so it can produce private-attribute classes.
ensure_type(typ) function Reset tp_getattro/tp_setattro/tp_finalizer slots on a type.
ensure_metaclass(metaclass) function Reset the corresponding slots on a metaclass.

Class-definition options:

Option Type Default Meaning
__private_attrs__ str | Sequence[str] () The private attribute names.
private_func (obj_id: int, attr_name: str) -> str None Custom hidden-name generator.
use_parents bool False Merge ancestors' private names into this class's own set.

Custom metaclasses

To combine private attributes with another metaclass (e.g. ABCMeta), use the prepare / postprocess pair and register the metaclass:

from abc import ABCMeta, abstractmethod
import private_attribute

class PrivateAbcMeta(ABCMeta):
    def __new__(cls, name, bases, attrs, **kwargs):
        with private_attribute.prepare(name, bases, attrs, **kwargs) as temp:
            typ = super().__new__(cls, temp.name, temp.bases, temp.attrs, **temp.kwds)
            private_attribute.postprocess(typ, temp)   # or temp.postprocess(typ)
            return typ

private_attribute.register_metaclass(PrivateAbcMeta)

class MyClass(metaclass=PrivateAbcMeta):
    __private_attrs__ = ("_a",)
    __slots__ = ()

    @abstractmethod
    def my_function(self): ...

class MyImplement(MyClass):
    __private_attrs__ = ("_a",)
    def __init__(self, value=1):
        self._a = value
    def my_function(self):
        return self._a

a = MyImplement(1)
a.my_function()          # 1
a._a                     # AttributeError: private attribute
MyClass()                # TypeError: Can't instantiate abstract class ...

prepare(...) returns a temporary object exposing .name, .bases, .attrs, and .kwds (and, since v2.1.17, a .postprocess(typ) shortcut). Since v2.2.3 it is a context manager (with), which guarantees the internal creation lock is released even if construction fails.

Behavioral notes & limitations

  • __private_attrs__ must be a string or a sequence of strings.
  • Names declared in __slots__ cannot also be in __private_attrs__; however, private attributes may still be set in methods even when __slots__ is defined (they live in the private-attribute storage, not __dict__).
  • Instances of PrivateAttrBase (and subclasses) are not picklable by default.
  • Private names are ultimately rewritten to a tuple of two hashes (unless a custom private_func is supplied).
  • _PrivateWrap objects are transparently unwrapped back to the original object during class creation.
  • Do not pass PrivateWrapProxy a decorator that itself returns a _PrivateWrap — this raises TypeError.
  • A class nested inside another class cannot use the outer class's private attributes.
  • If a parent class defines an attribute that is not in its __private_attrs__ (nor a PrivateAttrType instance), a child class must not list that name in its own __private_attrs__.
  • v2.1.0 — subclass code can no longer read/write a parent's private attributes; re-declaring the name stores it separately.
  • v2.2.0 — a subclass must not define, in its own class body, a name that is private to a parent, unless it declares the name in its own __private_attrs__ or opts in with use_parents=True.
  • v2.2.1 — prepare locks private-attribute-type creation so only one type is being built (type.__new__) at a time; postprocess unlocks it. The lock is released automatically on failure.
  • v2.2.3 — prefer the with form of prepare/postprocess to guarantee the lock is released.
  • CPython may change tp_getattro / tp_setattro when you assign __getattribute__ / __setattr__. Use ensure_type (or ensure_metaclass) to reset those slots, and avoid setting those methods on private-attribute classes directly.
  • register_metaclass requires a metaclass that supports weak references.
  • Do not set __static_attributes__ on a private-attribute class; it is removed automatically.

Building from source

The module is built with scikit-build-core and CMake (C++17). It vendors the header-only PicoSHA2 library for SHA-256 hashing.

git clone https://github.com/Locked-chess-official/private_attribute_cpp.git
cd private_attribute_cpp
pip install .

To build a wheel instead:

pip install build
python -m build

Set PRIVATE_ATTR_KEEP_DEBUG=1 to retain debug symbols in a Linux build (otherwise -g0 is applied).

Running the tests

pip install pytest
python -m pytest tests/ -v

The test suite covers attribute hiding, private methods, class-level private state, decorator wrapping, inheritance semantics (use_parents), ABC/metaclass integration, __slots__, and GC/cycle-collection regressions.

License

MIT © 2026 Locked-chess-official.

PicoSHA2 is distributed under the MIT License (© 2017 okdshin).

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Author: HuangHaoHua

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Credits

Author: HuangHaoHua

GitHub Statistics

Data verified by PyPI on Oct 30, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

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Data verified by PyPI on Oct 30, 2026
Data provided by the project maintainers and verified by PyPI at the time of upload.

Full provenance

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Python >=3.10

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private_attribute_cpp-2.2.8.1-cp313-cp313t-win32.whl 274.1 kB With provenance CPython 3.13 CPython 3.13 free-threading Windows x86-32 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-win32.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-musllinux_1_2_x86_64.whl 1.1 MB With provenance CPython 3.13 CPython 3.13 free-threading Linux musl 1.2+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-musllinux_1_2_x86_64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-musllinux_1_2_aarch64.whl 1.1 MB With provenance CPython 3.13 CPython 3.13 free-threading Linux musl 1.2+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-musllinux_1_2_aarch64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 95.6 kB With provenance CPython 3.13 CPython 3.13 free-threading Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 89.5 kB With provenance CPython 3.13 CPython 3.13 free-threading Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-macosx_11_0_arm64.whl 77.8 kB With provenance CPython 3.13 CPython 3.13 free-threading macOS 11.0+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-macosx_11_0_arm64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313t-macosx_10_13_x86_64.whl 89.2 kB With provenance CPython 3.13 CPython 3.13 free-threading macOS 10.13+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313t-macosx_10_13_x86_64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-win_arm64.whl 500.7 kB With provenance CPython 3.13 CPython 3.13 Windows ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-win_arm64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-win_amd64.whl 290.4 kB With provenance CPython 3.13 CPython 3.13 Windows x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-win_amd64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-win32.whl 272.2 kB With provenance CPython 3.13 CPython 3.13 Windows x86-32 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-win32.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-musllinux_1_2_x86_64.whl 1.1 MB With provenance CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-musllinux_1_2_x86_64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-musllinux_1_2_aarch64.whl 1.1 MB With provenance CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-musllinux_1_2_aarch64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 96.4 kB With provenance CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 89.2 kB With provenance CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-macosx_11_0_arm64.whl 75.6 kB With provenance CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-macosx_11_0_arm64.whl
private_attribute_cpp-2.2.8.1-cp313-cp313-macosx_10_13_x86_64.whl 86.8 kB With provenance CPython 3.13 CPython 3.13 macOS 10.13+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp313-cp313-macosx_10_13_x86_64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-win_arm64.whl 500.8 kB With provenance CPython 3.12 CPython 3.12 Windows ARM64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-win_arm64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-win_amd64.whl 290.6 kB With provenance CPython 3.12 CPython 3.12 Windows x86-64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-win_amd64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-win32.whl 272.3 kB With provenance CPython 3.12 CPython 3.12 Windows x86-32 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-win32.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-musllinux_1_2_x86_64.whl 1.1 MB With provenance CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-musllinux_1_2_x86_64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-musllinux_1_2_aarch64.whl 1.1 MB With provenance CPython 3.12 CPython 3.12 Linux musl 1.2+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-musllinux_1_2_aarch64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 96.6 kB With provenance CPython 3.12 CPython 3.12 Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 89.3 kB With provenance CPython 3.12 CPython 3.12 Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-macosx_11_0_arm64.whl 75.8 kB With provenance CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-macosx_11_0_arm64.whl
private_attribute_cpp-2.2.8.1-cp312-cp312-macosx_10_13_x86_64.whl 87.0 kB With provenance CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp312-cp312-macosx_10_13_x86_64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-win_arm64.whl 501.0 kB With provenance CPython 3.11 CPython 3.11 Windows ARM64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-win_arm64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-win_amd64.whl 289.6 kB With provenance CPython 3.11 CPython 3.11 Windows x86-64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-win_amd64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-win32.whl 271.7 kB With provenance CPython 3.11 CPython 3.11 Windows x86-32 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-win32.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-musllinux_1_2_x86_64.whl 1.1 MB With provenance CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-musllinux_1_2_x86_64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-musllinux_1_2_aarch64.whl 1.1 MB With provenance CPython 3.11 CPython 3.11 Linux musl 1.2+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-musllinux_1_2_aarch64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 95.2 kB With provenance CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 89.0 kB With provenance CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-macosx_11_0_arm64.whl 75.3 kB With provenance CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-macosx_11_0_arm64.whl
private_attribute_cpp-2.2.8.1-cp311-cp311-macosx_10_9_x86_64.whl 86.4 kB With provenance CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp311-cp311-macosx_10_9_x86_64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-win_arm64.whl 500.9 kB With provenance CPython 3.10 CPython 3.10 Windows ARM64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-win_arm64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-win_amd64.whl 289.7 kB With provenance CPython 3.10 CPython 3.10 Windows x86-64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-win_amd64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-win32.whl 271.7 kB With provenance CPython 3.10 CPython 3.10 Windows x86-32 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-win32.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-musllinux_1_2_x86_64.whl 1.1 MB With provenance CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-musllinux_1_2_x86_64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-musllinux_1_2_aarch64.whl 1.1 MB With provenance CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-musllinux_1_2_aarch64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 95.2 kB With provenance CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 89.0 kB With provenance CPython 3.10 CPython 3.10 Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
private_attribute_cpp-2.2.8.1-cp310-cp310-macosx_11_0_arm64.whl 75.3 kB With provenance CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for private_attribute_cpp-2.2.8.1-cp310-cp310-macosx_11_0_arm64.whl
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3.0.2

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3.0.1

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3.0.0

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2.2.9

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2.2.8.1 This release

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