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Cache any python object to file using improved pickling .

Project description

Cache any python object to file using improved pickling

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, 5)
  Calcing 8 + 5 = 13
>>> myfunc(8, 5)

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/')
... def myfunc(posarg, kwarg=3):
...     return posarg + kwarg

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


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

Project details

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Files for anycache, version 2.0.7
Filename, size File type Python version Upload date Hashes
Filename, size anycache-2.0.7-py2.py3-none-any.whl (10.3 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size anycache-2.0.7.tar.gz (6.5 kB) File type Source Python version None Upload date Hashes View

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