# cachez **Repository Path**: mirrors_jealous/cachez ## Basic Information - **Project Name**: cachez - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-09 - **Last Updated**: 2026-04-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Cache Decorator =============== .. image:: https://travis-ci.org/jealous/cachez.svg :target: https://travis-ci.org/jealous/cachez .. image:: https://coveralls.io/repos/jealous/cachez/badge.svg :target: https://coveralls.io/github/jealous/cachez .. image:: https://img.shields.io/pypi/v/cachez.svg :target: https://pypi.python.org/pypi/cachez VERSION: 0.1.2 Introduction ------------ Function decorator that helps to cache/memoize the result of a function/method. This package contains following decorators. - cache: cache the result of the function globally. - instance_cache: cache the result of a method in the instance (``self``) - clear_instance_cache: clear the method results cached on the instance. And one function. - clear_cache: clear the global function cache. Tested on python 2.7 and python 3.4. For quick start, check the tutorial section of this page. Check `cachez_test.py`_ for detail examples. Installation ------------ ``pip install cachez`` License ------- `Apache License version 2`_ Tutorial -------- - To cache the result of the a function globally, decorate the function with ``cache``. .. code-block:: python @cache def foo(x, y): ... - To clear the global cache, call ``clear_cache()``. .. code-block:: python clear_cache() - To cache the result of the method in the instance, decorate the method with ``instance_cache``. To clear the method cache on the instance, decorate your clear method with ``clear_instance_cache``. .. code-block:: python class Foo(object): @instance_cache def bar(a, b): ... @clear_instance_cache def clear(): ... - To persist the function return value, use ``persisted`` decorator. This decorator takes input parameter which specify when the cache will expire. The default value for cache expiration is set to 1 day. .. code-block:: python class Foo(object): @persisted() def default_persist_for_1_day(x): ... @persisted(seconds=5) def persist_return_value_for_5_seconds(y): ... - The default persist folder is set to ``~/.cachez``. You could customize it by calling ``set_persist_folder``. To file issue, please visit: https://github.com/jealous/cachez Contact author: - Cedric Zhuang Contributors: - Ryan Liang .. _Apache License version 2: LICENSE.txt .. _cachez_test.py: cachez_test.py