I'm wondering if there is a way to implement a generic "memoize" functional (as in a function with a function as input and a function as output, as python's decorators) capable of handling also cps-style functions.
for a normal function (as in "the result value comes back by the return, the parameters are only for input!") a memoize function can be as simple as (in javascript)
function memoize(fun) {
var cache = {};
return function () {
var args = Array.prototype.slice.call(arguments);
if (args in cache)
return cache[args];
var ret = fun.apply(this, arguments);
cache[args] = ret;
return ret;
};
}
but a cps-style function cannot be memoized by my simple memoize
function, cause I need to evaluate "again" the arguments of type function, knowing also the parameter to pass to them.
For example, given the function
function cps(param, next) {
var ret = param + 1;
// setTimeout for simulate async behaviour
setTimeout(function () {
next(ret);
}, 0);
}
maybe I can find that next
is a function, but its signature (well... maybe, but it's tricky), and definitely not the parameters used in the function!
Can someone tell me I'm wrong? :D
I'm interested to be able to memoize an half dozen of cps-style functions and I don't want to mess with the logic inserting a "cache" in every one of them.
I'm new to CPS, but I think you'll have to construct your functions in a particular way.
Your CPS functions have the following structure (generalising from your example):
So, you could use your standard memoizer, and construct the CPS function as well. Keeping this separate for the sake of it, first the CPS-maker (assumes the last argument for the functions is always the function to pass to):
And then the memoizer can be used in conjunction with it:
The point is to separate the memoization of the transform from the CPS construction.
Thank you for introducing the idea of memoized CPS; even if this answer is rubbish, it has been an eye-opener for me!