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Metadata-Version: 2.4
Name: propcache
Version: 0.4.1
Summary: Accelerated property cache
Home-page: https://github.com/aio-libs/propcache
Author: Andrew Svetlov
Author-email: andrew.svetlov@gmail.com
Maintainer: aiohttp team <team@aiohttp.org>
Maintainer-email: team@aiohttp.org
License: Apache-2.0
Project-URL: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org
Project-URL: Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org
Project-URL: CI: GitHub Workflows, https://github.com/aio-libs/propcache/actions?query=branch:master
Project-URL: Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md
Project-URL: Coverage: codecov, https://codecov.io/github/aio-libs/propcache
Project-URL: Docs: Changelog, https://propcache.readthedocs.io/en/latest/changes/
Project-URL: Docs: RTD, https://propcache.readthedocs.io
Project-URL: GitHub: issues, https://github.com/aio-libs/propcache/issues
Project-URL: GitHub: repo, https://github.com/aio-libs/propcache
Keywords: cython,cext,propcache
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: NOTICE
Dynamic: license-file
propcache
=========
The module provides a fast implementation of cached properties for Python 3.9+.
.. image:: https://github.com/aio-libs/propcache/actions/workflows/ci-cd.yml/badge.svg
:target: https://github.com/aio-libs/propcache/actions?query=workflow%3ACI
:align: right
.. image:: https://codecov.io/gh/aio-libs/propcache/branch/master/graph/badge.svg
:target: https://codecov.io/gh/aio-libs/propcache
.. image:: https://badge.fury.io/py/propcache.svg
:target: https://badge.fury.io/py/propcache
.. image:: https://readthedocs.org/projects/propcache/badge/?version=latest
:target: https://propcache.readthedocs.io
.. image:: https://img.shields.io/pypi/pyversions/propcache.svg
:target: https://pypi.python.org/pypi/propcache
.. image:: https://img.shields.io/matrix/aio-libs:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat
:target: https://matrix.to/#/%23aio-libs:matrix.org
:alt: Matrix Room — #aio-libs:matrix.org
.. image:: https://img.shields.io/matrix/aio-libs-space:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs-space%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat
:target: https://matrix.to/#/%23aio-libs-space:matrix.org
:alt: Matrix Space — #aio-libs-space:matrix.org
Introduction
------------
The API is designed to be nearly identical to the built-in ``functools.cached_property`` class,
except for the additional ``under_cached_property`` class which uses ``self._cache``
instead of ``self.__dict__`` to store the cached values and prevents ``__set__`` from being called.
For full documentation please read https://propcache.readthedocs.io.
Installation
------------
::
$ pip install propcache
The library is Python 3 only!
PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install
``propcache`` on another operating system where wheels are not provided,
the the tarball will be used to compile the library from
the source code. It requires a C compiler and and Python headers installed.
To skip the compilation you must explicitly opt-in by using a PEP 517
configuration setting ``pure-python``, or setting the ``PROPCACHE_NO_EXTENSIONS``
environment variable to a non-empty value, e.g.:
.. code-block:: console
$ pip install propcache --config-settings=pure-python=false
Please note that the pure-Python (uncompiled) version is much slower. However,
PyPy always uses a pure-Python implementation, and, as such, it is unaffected
by this variable.
API documentation
------------------
The documentation is located at https://propcache.readthedocs.io.
Source code
-----------
The project is hosted on GitHub_
Please file an issue on the `bug tracker
<https://github.com/aio-libs/propcache/issues>`_ if you have found a bug
or have some suggestion in order to improve the library.
Discussion list
---------------
*aio-libs* google group: https://groups.google.com/forum/#!forum/aio-libs
Feel free to post your questions and ideas here.
Authors and License
-------------------
The ``propcache`` package is derived from ``yarl`` which is written by Andrew Svetlov.
It's *Apache 2* licensed and freely available.
.. _GitHub: https://github.com/aio-libs/propcache
=========
Changelog
=========
..
You should *NOT* be adding new change log entries to this file, this
file is managed by towncrier. You *may* edit previous change logs to
fix problems like typo corrections or such.
To add a new change log entry, please see
https://pip.pypa.io/en/latest/development/#adding-a-news-entry
we named the news folder "changes".
WARNING: Don't drop the next directive!
.. towncrier release notes start
0.4.1
=====
*(2025-10-08)*
Bug fixes
---------
- Fixed reference leak caused by ``Py_INCREF`` because Cython has its own reference counter systems -- by `@Vizonex <https://github.com/sponsors/Vizonex>`__.
*Related issues and pull requests on GitHub:*
`#162 <https://github.com/aio-libs/propcache/issues/162>`__.
Contributor-facing changes
--------------------------
- Fixes the default value for the ``os``
parameter in ``reusable-build-wheel.yml``
to be ``ubuntu-latest`` instead of
``ubuntu``.
*Related issues and pull requests on GitHub:*
`#155 <https://github.com/aio-libs/propcache/issues/155>`__.
----
0.4.0
=====
*(2025-10-04)*
Features
--------
- Optimized propcache by replacing sentinel ``object`` for checking if
the ``object`` is ``NULL`` and changed ``dict`` API for
Python C-API -- by `@Vizonex <https://github.com/sponsors/Vizonex>`__.
*Related issues and pull requests on GitHub:*
`#121 <https://github.com/aio-libs/propcache/issues/121>`__.
Contributor-facing changes
--------------------------
- Builds have been added for arm64 Windows
wheels and the ``reusable-build-wheel.yml``
workflow has been modified to allow for
an OS value (``windows-11-arm``) which
does not include the ``-latest`` postfix
-- by `@finnagin <https://github.com/sponsors/finnagin>`__.
*Related issues and pull requests on GitHub:*
`#133 <https://github.com/aio-libs/propcache/issues/133>`__.
- Added CI for CPython 3.14 -- by `@kumaraditya303 <https://github.com/sponsors/kumaraditya303>`__.
*Related issues and pull requests on GitHub:*
`#140 <https://github.com/aio-libs/propcache/issues/140>`__.
----
0.3.2
=====
*(2025-06-09)*
Improved documentation
----------------------
- Fixed incorrect decorator usage in the ``~propcache.api.under_cached_property`` example code -- by `@meanmail <https://github.com/sponsors/meanmail>`__.
*Related issues and pull requests on GitHub:*
`#109 <https://github.com/aio-libs/propcache/issues/109>`__.
Packaging updates and notes for downstreams
-------------------------------------------
- Updated to use Cython 3.1 universally across the build path -- by `@lysnikolaou <https://github.com/sponsors/lysnikolaou>`__.
*Related issues and pull requests on GitHub:*
`#117 <https://github.com/aio-libs/propcache/issues/117>`__.
- Made Cython line tracing opt-in via the ``with-cython-tracing`` build config setting -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
Previously, line tracing was enabled by default in ``pyproject.toml``, which caused build issues for some users and made wheels nearly twice as slow.
Now line tracing is only enabled when explicitly requested via ``pip install . --config-setting=with-cython-tracing=true`` or by setting the ``PROPCACHE_CYTHON_TRACING`` environment variable.
*Related issues and pull requests on GitHub:*
`#118 <https://github.com/aio-libs/propcache/issues/118>`__.
----
0.3.1
=====
*(2025-03-25)*
Bug fixes
---------
- Improved typing annotations, fixing some type errors under correct usage
and improving typing robustness generally -- by `@Dreamsorcerer <https://github.com/sponsors/Dreamsorcerer>`__.
*Related issues and pull requests on GitHub:*
`#103 <https://github.com/aio-libs/propcache/issues/103>`__.
----
0.3.0
=====
*(2025-02-20)*
Features
--------
- Implemented support for the free-threaded build of CPython 3.13 -- by `@lysnikolaou <https://github.com/sponsors/lysnikolaou>`__.
*Related issues and pull requests on GitHub:*
`#84 <https://github.com/aio-libs/propcache/issues/84>`__.
Packaging updates and notes for downstreams
-------------------------------------------
- Started building wheels for the free-threaded build of CPython 3.13 -- by `@lysnikolaou <https://github.com/sponsors/lysnikolaou>`__.
*Related issues and pull requests on GitHub:*
`#84 <https://github.com/aio-libs/propcache/issues/84>`__.
Contributor-facing changes
--------------------------
- GitHub Actions CI/CD is now configured to manage caching pip-ecosystem
dependencies using `re-actors/cache-python-deps`_ -- an action by
`@webknjaz <https://github.com/sponsors/webknjaz>`__ that takes into account ABI stability and the exact
version of Python runtime.
.. _`re-actors/cache-python-deps`:
https://github.com/marketplace/actions/cache-python-deps
*Related issues and pull requests on GitHub:*
`#93 <https://github.com/aio-libs/propcache/issues/93>`__.
----
0.2.1
=====
*(2024-12-01)*
Bug fixes
---------
- Stopped implicitly allowing the use of Cython pre-release versions when
building the distribution package -- by `@ajsanchezsanz <https://github.com/sponsors/ajsanchezsanz>`__ and
`@markgreene74 <https://github.com/sponsors/markgreene74>`__.
*Related commits on GitHub:*
`64df0a6 <https://github.com/aio-libs/propcache/commit/64df0a6>`__.
- Fixed ``wrapped`` and ``func`` not being accessible in the Cython versions of ``propcache.api.cached_property`` and ``propcache.api.under_cached_property`` decorators -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#72 <https://github.com/aio-libs/propcache/issues/72>`__.
Removals and backward incompatible breaking changes
---------------------------------------------------
- Removed support for Python 3.8 as it has reached end of life -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#57 <https://github.com/aio-libs/propcache/issues/57>`__.
Packaging updates and notes for downstreams
-------------------------------------------
- Stopped implicitly allowing the use of Cython pre-release versions when
building the distribution package -- by `@ajsanchezsanz <https://github.com/sponsors/ajsanchezsanz>`__ and
`@markgreene74 <https://github.com/sponsors/markgreene74>`__.
*Related commits on GitHub:*
`64df0a6 <https://github.com/aio-libs/propcache/commit/64df0a6>`__.
----
0.2.0
=====
*(2024-10-07)*
Bug fixes
---------
- Fixed loading the C-extensions on Python 3.8 -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#26 <https://github.com/aio-libs/propcache/issues/26>`__.
Features
--------
- Improved typing for the ``propcache.api.under_cached_property`` decorator -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#38 <https://github.com/aio-libs/propcache/issues/38>`__.
Improved documentation
----------------------
- Added API documentation for the ``propcache.api.cached_property`` and ``propcache.api.under_cached_property`` decorators -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#16 <https://github.com/aio-libs/propcache/issues/16>`__.
Packaging updates and notes for downstreams
-------------------------------------------
- Moved ``propcache.api.under_cached_property`` and ``propcache.api.cached_property`` to `propcache.api` -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
Both decorators remain importable from the top-level package, however importing from `propcache.api` is now the recommended way to use them.
*Related issues and pull requests on GitHub:*
`#19 <https://github.com/aio-libs/propcache/issues/19>`__, `#24 <https://github.com/aio-libs/propcache/issues/24>`__, `#32 <https://github.com/aio-libs/propcache/issues/32>`__.
- Converted project to use a src layout -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#22 <https://github.com/aio-libs/propcache/issues/22>`__, `#29 <https://github.com/aio-libs/propcache/issues/29>`__, `#37 <https://github.com/aio-libs/propcache/issues/37>`__.
----
0.1.0
=====
*(2024-10-03)*
Features
--------
- Added ``armv7l`` wheels -- by `@bdraco <https://github.com/sponsors/bdraco>`__.
*Related issues and pull requests on GitHub:*
`#5 <https://github.com/aio-libs/propcache/issues/5>`__.
----
0.0.0
=====
*(2024-10-02)*
- Initial release.

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Metadata-Version: 2.4
Name: attrs
Version: 25.4.0
Summary: Classes Without Boilerplate
Project-URL: Documentation, https://www.attrs.org/
Project-URL: Changelog, https://www.attrs.org/en/stable/changelog.html
Project-URL: GitHub, https://github.com/python-attrs/attrs
Project-URL: Funding, https://github.com/sponsors/hynek
Project-URL: Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi
Author-email: Hynek Schlawack <hs@ox.cx>
License-Expression: MIT
License-File: LICENSE
Keywords: attribute,boilerplate,class
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Typing :: Typed
Requires-Python: >=3.9
Description-Content-Type: text/markdown
<p align="center">
<a href="https://www.attrs.org/">
<img src="https://raw.githubusercontent.com/python-attrs/attrs/main/docs/_static/attrs_logo.svg" width="35%" alt="attrs" />
</a>
</p>
*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)).
Trusted by NASA for [Mars missions since 2020](https://github.com/readme/featured/nasa-ingenuity-helicopter)!
Its main goal is to help you to write **concise** and **correct** software without slowing down your code.
## Sponsors
*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek).
Especially those generously supporting us at the *The Organization* tier and higher:
<!-- sponsor-break-begin -->
<p align="center">
<!-- [[[cog
import pathlib, tomllib
for sponsor in tomllib.loads(pathlib.Path("pyproject.toml").read_text())["tool"]["sponcon"]["sponsors"]:
print(f'<a href="{sponsor["url"]}"><img title="{sponsor["title"]}" src="https://www.attrs.org/en/25.4.0/_static/sponsors/{sponsor["img"]}" width="190" /></a>')
]]] -->
<a href="https://www.variomedia.de/"><img title="Variomedia AG" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Variomedia.svg" width="190" /></a>
<a href="https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek"><img title="Tidelift" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Tidelift.svg" width="190" /></a>
<a href="https://privacy-solutions.org/"><img title="Privacy Solutions" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Privacy-Solutions.svg" width="190" /></a>
<a href="https://filepreviews.io/"><img title="FilePreviews" src="https://www.attrs.org/en/25.4.0/_static/sponsors/FilePreviews.svg" width="190" /></a>
<a href="https://polar.sh/"><img title="Polar" src="https://www.attrs.org/en/25.4.0/_static/sponsors/Polar.svg" width="190" /></a>
<!-- [[[end]]] -->
</p>
<!-- sponsor-break-end -->
<p align="center">
<strong>Please consider <a href="https://github.com/sponsors/hynek">joining them</a> to help make <em>attrs</em>s maintenance more sustainable!</strong>
</p>
<!-- teaser-end -->
## Example
*attrs* gives you a class decorator and a way to declaratively define the attributes on that class:
<!-- code-begin -->
```pycon
>>> from attrs import asdict, define, make_class, Factory
>>> @define
... class SomeClass:
... a_number: int = 42
... list_of_numbers: list[int] = Factory(list)
...
... def hard_math(self, another_number):
... return self.a_number + sum(self.list_of_numbers) * another_number
>>> sc = SomeClass(1, [1, 2, 3])
>>> sc
SomeClass(a_number=1, list_of_numbers=[1, 2, 3])
>>> sc.hard_math(3)
19
>>> sc == SomeClass(1, [1, 2, 3])
True
>>> sc != SomeClass(2, [3, 2, 1])
True
>>> asdict(sc)
{'a_number': 1, 'list_of_numbers': [1, 2, 3]}
>>> SomeClass()
SomeClass(a_number=42, list_of_numbers=[])
>>> C = make_class("C", ["a", "b"])
>>> C("foo", "bar")
C(a='foo', b='bar')
```
After *declaring* your attributes, *attrs* gives you:
- a concise and explicit overview of the class's attributes,
- a nice human-readable `__repr__`,
- equality-checking methods,
- an initializer,
- and much more,
*without* writing dull boilerplate code again and again and *without* runtime performance penalties.
---
This example uses *attrs*'s modern APIs that have been introduced in version 20.1.0, and the *attrs* package import name that has been added in version 21.3.0.
The classic APIs (`@attr.s`, `attr.ib`, plus their serious-business aliases) and the `attr` package import name will remain **indefinitely**.
Check out [*On The Core API Names*](https://www.attrs.org/en/latest/names.html) for an in-depth explanation!
### Hate Type Annotations!?
No problem!
Types are entirely **optional** with *attrs*.
Simply assign `attrs.field()` to the attributes instead of annotating them with types:
```python
from attrs import define, field
@define
class SomeClass:
a_number = field(default=42)
list_of_numbers = field(factory=list)
```
## Data Classes
On the tin, *attrs* might remind you of `dataclasses` (and indeed, `dataclasses` [are a descendant](https://hynek.me/articles/import-attrs/) of *attrs*).
In practice it does a lot more and is more flexible.
For instance, it allows you to define [special handling of NumPy arrays for equality checks](https://www.attrs.org/en/stable/comparison.html#customization), allows more ways to [plug into the initialization process](https://www.attrs.org/en/stable/init.html#hooking-yourself-into-initialization), has a replacement for `__init_subclass__`, and allows for stepping through the generated methods using a debugger.
For more details, please refer to our [comparison page](https://www.attrs.org/en/stable/why.html#data-classes), but generally speaking, we are more likely to commit crimes against nature to make things work that one would expect to work, but that are quite complicated in practice.
## Project Information
- [**Changelog**](https://www.attrs.org/en/stable/changelog.html)
- [**Documentation**](https://www.attrs.org/)
- [**PyPI**](https://pypi.org/project/attrs/)
- [**Source Code**](https://github.com/python-attrs/attrs)
- [**Contributing**](https://github.com/python-attrs/attrs/blob/main/.github/CONTRIBUTING.md)
- [**Third-party Extensions**](https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs)
- **Get Help**: use the `python-attrs` tag on [Stack Overflow](https://stackoverflow.com/questions/tagged/python-attrs)
### *attrs* for Enterprise
Available as part of the [Tidelift Subscription](https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek).
The maintainers of *attrs* and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications.
Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use.
## Release Information
### Backwards-incompatible Changes
- Class-level `kw_only=True` behavior is now consistent with `dataclasses`.
Previously, a class that sets `kw_only=True` makes all attributes keyword-only, including those from base classes.
If an attribute sets `kw_only=False`, that setting is ignored, and it is still made keyword-only.
Now, only the attributes defined in that class that doesn't explicitly set `kw_only=False` are made keyword-only.
This shouldn't be a problem for most users, unless you have a pattern like this:
```python
@attrs.define(kw_only=True)
class Base:
a: int
b: int = attrs.field(default=1, kw_only=False)
@attrs.define
class Subclass(Base):
c: int
```
Here, we have a `kw_only=True` *attrs* class (`Base`) with an attribute that sets `kw_only=False` and has a default (`Base.b`), and then create a subclass (`Subclass`) with required arguments (`Subclass.c`).
Previously this would work, since it would make `Base.b` keyword-only, but now this fails since `Base.b` is positional, and we have a required positional argument (`Subclass.c`) following another argument with defaults.
[#1457](https://github.com/python-attrs/attrs/issues/1457)
### Changes
- Values passed to the `__init__()` method of `attrs` classes are now correctly passed to `__attrs_pre_init__()` instead of their default values (in cases where *kw_only* was not specified).
[#1427](https://github.com/python-attrs/attrs/issues/1427)
- Added support for Python 3.14 and [PEP 749](https://peps.python.org/pep-0749/).
[#1446](https://github.com/python-attrs/attrs/issues/1446),
[#1451](https://github.com/python-attrs/attrs/issues/1451)
- `attrs.validators.deep_mapping()` now allows to leave out either *key_validator* xor *value_validator*.
[#1448](https://github.com/python-attrs/attrs/issues/1448)
- `attrs.validators.deep_iterator()` and `attrs.validators.deep_mapping()` now accept lists and tuples for all validators and wrap them into a `attrs.validators.and_()`.
[#1449](https://github.com/python-attrs/attrs/issues/1449)
- Added a new **experimental** way to inspect classes:
`attrs.inspect(cls)` returns the _effective_ class-wide parameters that were used by *attrs* to construct the class.
The returned class is the same data structure that *attrs* uses internally to decide how to construct the final class.
[#1454](https://github.com/python-attrs/attrs/issues/1454)
- Fixed annotations for `attrs.field(converter=...)`.
Previously, a `tuple` of converters was only accepted if it had exactly one element.
[#1461](https://github.com/python-attrs/attrs/issues/1461)
- The performance of `attrs.asdict()` has been improved by 45260%.
[#1463](https://github.com/python-attrs/attrs/issues/1463)
- The performance of `attrs.astuple()` has been improved by 49270%.
[#1469](https://github.com/python-attrs/attrs/issues/1469)
- The type annotation for `attrs.validators.or_()` now allows for different types of validators.
This was only an issue on Pyright.
[#1474](https://github.com/python-attrs/attrs/issues/1474)
---
[Full changelog →](https://www.attrs.org/en/stable/changelog.html)