*********************** Cache Any Python Object *********************** .. image:: https://badge.fury.io/py/anycache.svg :target: https://badge.fury.io/py/anycache .. image:: https://travis-ci.org/c0fec0de/anycache.svg?branch=master :target: https://travis-ci.org/c0fec0de/anycache .. image:: https://coveralls.io/repos/github/c0fec0de/anycache/badge.svg :target: https://coveralls.io/github/c0fec0de/anycache .. image:: https://readthedocs.org/projects/anycache/badge/?version=2.0.3 :target: http://anycache.readthedocs.io/en/2.0.3/?badge=2.0.3 .. image:: https://codeclimate.com/github/c0fec0de/anycache.png :target: https://codeclimate.com/github/c0fec0de/anycache .. image:: https://img.shields.io/pypi/pyversions/anycache.svg :target: https://pypi.python.org/pypi/anycache .. image:: https://landscape.io/github/c0fec0de/anycache/master/landscape.svg?style=flat :target: https://landscape.io/github/c0fec0de/anycache/master .. image:: https://img.shields.io/badge/code%20style-pep8-brightgreen.svg :target: https://www.python.org/dev/peps/pep-0008/ .. image:: https://img.shields.io/badge/code%20style-pep257-brightgreen.svg :target: https://www.python.org/dev/peps/pep-0257/ Cache any python object to file using improved pickling .. toctree:: :maxdepth: 2 installation api Getting started =============== .. _getting_started: To cache the result of a function, use the global unlimited anycache: >>> from anycache import anycache >>> @anycache() ... def myfunc(posarg, kwarg=3): ... print(" Calcing %r + %r = %r" % (posarg, kwarg, posarg + kwarg)) ... return posarg + kwarg >>> myfunc(8, 10) Calcing 8 + 10 = 18 18 >>> myfunc(8, 10) 18 `anycache` caches nearly any python object. Also `lambda` statements. It uses Dill_ as backend, an improved version of pythons build-in `pickle`. Set a persistent cache directory to preserve the result between multiple python runs: >>> from anycache import anycache >>> @anycache(cachedir='/tmp/anycache.my') ... def myfunc(posarg, kwarg=3): ... return posarg + kwarg The :any:`AnyCache` object serves additional functions for cache clearing and size handling. .. _Dill: https://pypi.python.org/pypi/dill