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Re: implementation idea for infinite cons lists aka scon(e)s lists.


From: Stefan Israelsson Tampe
Subject: Re: implementation idea for infinite cons lists aka scon(e)s lists.
Date: Sat, 13 Sep 2014 13:13:09 +0200

Hi,

The idea is to mod the gc and take advantage of that to trace if the datastructure ( a cons cell) so that one can now that
it is saved from gc by havinga special reference and that we also can see if the cons cell have been referenced outside of theĀ 
special references. Then in the sweep phase one can decide to modify the cons list to set the cdr to null in say 1000 cons from the
head. But this modding is only done if there is now referncing of it outside the special references. This means that the rest of the tail
will gc normally and be reclaimed. If however a function wants to analyze a part of the list it just references the head and by that the gc
will not mod any part of the rest of the list and the algorithm can safely do it's work. It's in the gc's sweep phase that the list is cut with a setcdr!

/Stefan

On Fri, Sep 12, 2014 at 10:08 PM, Ian Grant <address@hidden> wrote:
> #|
> Basically a stream is
> [x,y,z,...]

> But we want to gc the tail of the stream if not reachable. How to do this?

I don't understand. The tail is infinitely long. When do you want to GC it? When your infinite memory is 50% full, or 75% full :-)

I think you probably have a good idea, but it's just not at all clear from these two messages.

Do you know about co-induction and co-data? An ordinary (proper) list is an example of an inductive structure: you have two constructors, a nullary one '() which is like a constant or a constant function, it takes no arguments and makes a list out of nothing. And you have a binary constructor, cons, which takes a head a tail as arguments and makes a new list. And then you can use these a bit like an induction proof in mathematics: '() is the base case, and cons is the induction step which takes you from a list, to a new longer list. This is a concrete datatype: the elements it is made of are all represented in memory.

The dual of this idea is a co-datatype like a stream, where you don't have the concrete data structures anymore, you have what is called an _abstract datatype_ which is a datatype that has no actual representation in the machine: so you don't have the constructors '() and cons anymore, you just have a single deconstructor, snoc, which, when it is applied to a stream, maybe returns an element and a new stream, which is the tail, otherwise it just returns something like #f which says "it ended!" In languages like scheme and standard ML which do eager evaluation, streams are modelled using either references (i.e. mutable cons cells) or eta-expansions (thunks, (lambda () ...) with a 'unit' argument to delay evaluation), but in lazy languages likeĀ  haskell (and untyped lambda calculus under normal order evaluation) you don't need any tricks, you can just write the co-data types as ordinary lambda expressions, and the 'call by name' semantics mean that these 'infinite tails' only get expanded (i.e. represented in the memory) when they are 'observed' by applying the deconstructor. So like in real life, the only garbage you have to deal with is the stuff that results from what you make: the whole infinite substructure is all 'enfolded' underneath and takes no space at all. It's just your observing it that makes it concrete.

There is a huge body of theory and an awful lot of scribbling been done about this. There are mathematical texts where it's called 'category theory' or 'non well-founded set theory' And it comes up in order theory as 'fixedpoint calculus' and the theory of Galois connections. And in other areas of computer science it's called bisimulation. To me it all seems to be the same thing: "consing up one list while cdr'ing down another", but there's probably no research mileage in saying things like that.

Ian



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