python-memo

python memoize decorators that cache the results of functions.

Description

memoize and keyed-memoize decorators.

• memo: The classical memoize decorator. It keeps a cache args -> result so you don't continue to perform the same computations.
• keymemo(key): This decorator factory act as memo but it permits to specify a key function that takes the args of the decorated function and computes a key value to use as key in the cache dictionary. This way you can for example use a single value of a dictionary as key of the cache, or apply a function before passing something to the cache.
• instancememo: The classical memoize decorator that can be applied to class functions. It keeps a cache args -> result so you don't continue to perform the same computations. The cache is kept in the class namespace.
• instancekeymemo(key): This decorator factory works like a combination of instancememo and keymemo, so it allows to specify a function that generate the cache key based on the function arguments and can be applied to class functions.

Usage

from memo import memo

@memo
def fibonacci(n):
    if n <= 2:
        return 1
    return fibonacci(n-1) + fibonacci(n-2)

from memo import keymemo

@keymemo(lambda tup: tup[0])
def function(tup):
    # build a cache based on the first value of a tuple
    ...

Installation

The package has been uploaded to PyPI, so you can install it with pip:

pip install python-memo