Cache any python object to file using improved pickling
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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, 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 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.
Installation
To install the anycache module run:
pip install anycache
If you do not have write-permissions to the python installation, try:
pip install anycache --user
