Skip to content

PyPI Version Python Build Documentation Coverage Status python-versions

Cache any python object to file using improved pickling

Installation

Installing it is pretty easy:

pip install anycache

Getting Started

>>> from anycache import anycache
>>> @anycache()
... def myfunc(posarg, kwarg=3):
...     print("  Calcing %r + %r = %r" % (posarg, kwarg, posarg + kwarg))
...     return posarg + kwarg
>>> myfunc(8, 5)
  Calcing 8 + 5 = 13
13
>>> myfunc(8, 5)
13

anycache caches nearly any python object. Also lambda statements. It uses dill as backend. An improved version of pythons built-in pickle.

To preserve the result between multiple python runs, set a persistent cache directory.

>>> from anycache import anycache
>>> @anycache(cachedir='/tmp/anycache.my')
... def myfunc(posarg, kwarg=3):
...     return posarg + kwarg

The AnyCache object serves additional functions for cache clearing and size handling.