Memoize from ActiveState Code by Daniel Miller

memoize

from functools import partial

class memoize(object):
    """cache the return value of a method
    
    This class is meant to be used as a decorator of methods. The return value
    from a given method invocation will be cached on the instance whose method
    was invoked. All arguments passed to a method decorated with memoize must
    be hashable.
    
    If a memoized method is invoked directly on its class the result will not
    be cached. Instead the method will be invoked like a static method:
    class Obj(object):
        @memoize
        def add_to(self, arg):
            return self + arg
    Obj.add_to(1) # not enough arguments
    Obj.add_to(1, 2) # returns 3, result is not cached
    """
    def __init__(self, func):
        self.func = func
    def __get__(self, obj, objtype=None):
        if obj is None:
            return self.func
        return partial(self, obj)
    def __call__(self, *args, **kw):
        obj = args[0]
        try:
            cache = obj.__cache
        except AttributeError:
            cache = obj.__cache = {}
        key = (self.func, args[1:], frozenset(kw.items()))
        try:
            res = cache[key]
        except KeyError:
            res = cache[key] = self.func(*args, **kw)
        return res


if __name__ == "__main__":
    # example usage
    class Test(object):
        v = 0
        @memoize
        def inc_add(self, arg):
            self.v += 1
            return self.v + arg

    t = Test()
    assert t.inc_add(2) == t.inc_add(2)
    assert Test.inc_add(t, 2) != Test.inc_add(t, 2)