Cache any python object to file using improved pickling

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for c0fec0de from gravatar.com c0fec0de

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Daniel Jakschik
  • Tags cache, caching, cache file, pickle, dill
  • Requires: Python <4.0, >=3.9.0
Classifiers
Report project as malware

Project description

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.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page