propcache

The module provides a fast implementation of cached properties for Python 3.9+.

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.:

$ 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 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.