Cache Any Python Object

Cache any python object to file using improved pickling

• Installation
• API

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.

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

>>> 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.