A memoize wrapper for use as a decorator

memoize.py

# Author : John Carrell
#
# A memoize function to use as a decorator
#
# Memoization is caching the arguments to and result of a function.
# Then, the next time that function is called with the same arguments the result is taken from the cache rather invoking the function.
# Memoization is effective when executing the logic of a particularly function is expensive.
# For instance, expensive calculations, network I/O or file access would be effective things to avoid if the yielded value won't or doesn't need to change.
#
# A detministic function is one where for a given input the same output is always produced.
def memoize(func):
    cache = {}

    def call_func(*args, **kwargs):
        if (args, repr(kwargs)) in cache:
            return cache[(args, repr(kwargs))]
        else:
            result = func(*args, **kwargs)
            cache[(args, repr(kwargs))] = result
            return result

    return call_func