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Thun/thun/thun.pl

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/*
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╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝
Copyright © 2018, 2019, 2020 Simon Forman
This file is part of Thun
Thun is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Thun is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Thun. If not see <http://www.gnu.org/licenses/>.
(Big fonts are from Figlet "ANSI Shadow" http://www.patorjk.com/software/taag/#p=display&f=ANSI%20Shadow&t=formatter
and "Small".)
Table of Contents
Parser & Grammar
Semantics
Functions
Combinators
Definitions
Compiler
to Prolog
to Machine Code
Meta-Programming
Expand/Contract Definitions
Formatter
Partial Reducer
*/
:- use_module(library(clpfd)).
:- use_module(library(dcg/basics)).
:- dynamic func/3.
:- dynamic def/2.
/*
An entry point.
*/
joy(InputString, StackIn, StackOut) :-
phrase(joy_parse(Expression), InputString), !,
thun(Expression, StackIn, StackOut).
/*
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╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝╚══════╝╚═╝ ╚═╝ ╚═════╝
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╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝
The grammar of Joy is very simple. A Joy expression is zero or more Joy
terms separated by blanks, and terms can be either integers, Booleans,
quoted Joy expressions, or symbols (names of functions.)
joy ::= ( blanks term blanks )*
term ::= integer | bool | '[' joy ']' | symbol
integer ::= [ '-' | '+' ] ('0'...'9')+
bool ::= 'true' | 'false'
symbol ::= char+
char ::= <Any non-space other than '[' and ']'.>
blanks ::= <Zero or more whitespace characters.>
For integer//1 and blanks//0 I delegate to SWI's dcg/basics library. The
blank//0 matches and discards space and newline characters and integer//1
"processes an optional sign followed by a non-empty sequence of digits
into an integer." (https://www.swi-prolog.org/pldoc/man?section=basics)
Symbols can be made of any non-blank characters except '['and ']' which
are fully reserved for list literals (aka "quotes"). 'true' and 'false'
would be valid symbols but they are reserved for Boolean literals.
For now strings are neglected in favor of lists of numbers. (But there's
no support for parsing string notation and converting to lists of ints.)
One wrinkle of the grammar is that numbers do not need to be followed by
blanks before the next match, which is nice when the next match is a
square bracket but a little weird when it's a symbol term. E.g. "2[3]"
parses as [2, [3]] but "23x" parses as [23, x]. It's a minor thing not
worth disfiguring the grammar to change IMO.
Integers are converted to Prolog integers, symbols and bools to Prolog
atoms, and list literals to Prolog lists.
*/
joy_parse([J|Js]) --> blanks, joy_term(J), blanks, joy_parse(Js).
joy_parse([]) --> [].
joy_term(int(I)) --> integer(I), !.
joy_term(list(J)) --> "[", !, joy_parse(J), "]".
joy_term(bool(true)) --> "true", !.
joy_term(bool(false)) --> "false", !.
joy_term(symbol(S)) --> symbol(S).
symbol(C) --> chars(Chars), !, {atom_string(C, Chars)}.
chars([Ch|Rest]) --> char(Ch), chars(Rest).
chars([Ch]) --> char(Ch).
char(Ch) --> [Ch], {Ch \== 91, Ch \== 93, code_type(Ch, graph)}.
/* Here is an example of Joy code:
[ [[abs] ii <=]
[
[<>] [pop !-] ||
] &&
]
[[ !-] [[++]] [[--]] ifte dip]
[[pop !-] [--] [++] ifte ]
ifte
It probably seems unreadable but with a little familiarity it becomes
just as legible as any other notation. This function accepts two
integers on the stack and increments or decrements one of them such that
the new pair of numbers is the next coordinate pair in a square spiral
(like that used to construct an Ulam Spiral). It is adapted from the
code in the answer here:
https://stackoverflow.com/questions/398299/looping-in-a-spiral/31864777#31864777
It can be used with the x combinator to make a kind of generator for
spiral square coordinates.
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The fundamental Joy relation involves an expression and two stacks. One
stack serves as input and the other as output.
thun(Expression, InputStack, OutputStack)
The null expression (denoted by an empty Prolog list) is effectively an
identity function and serves as the end-of-processing marker. As a
matter of efficiency (of Prolog) the thun/3 predicate picks off the first
term of the expression (if any) and passes it to thun/4 which can then
take advantage of Prolog indexing on the first term of a predicate. */
thun([], S, S).
thun([Term|E], Si, So) :- thun(Term, E, Si, So).
/* The thun/4 predicate was originally written in terms of the thun/3
predicate, which was very elegant, but prevented (I assume but have not
checked) tail-call recursion. In order to alleviate this, partial
reduction is used to generate the actual thun/4 rules, see below.
Original thun/4 code:
thun(int(I), E, Si, So) :- thun(E, [ int(I)|Si], So).
thun(bool(B), E, Si, So) :- thun(E, [bool(B)|Si], So).
thun(list(L), E, Si, So) :- thun(E, [list(L)|Si], So).
thun(symbol(Def), E, Si, So) :- def(Def, Body), append(Body, E, Eo), thun(Eo, Si, So).
thun(symbol(Func), E, Si, So) :- func(Func, Si, S), thun(E, S, So).
thun(symbol(Combo), E, Si, So) :- combo(Combo, Si, S, E, Eo), thun(Eo, S, So).
Integers, Boolean values, and lists are put onto the stack, symbols are
dispatched to one of three kinds of processing: functions, combinators
and definitions (see "defs.txt".) */
% Literals turn out okay.
thun(int(A), [], B, [int(A)|B]).
thun(int(C), [A|B], D, E) :- thun(A, B, [int(C)|D], E).
thun(bool(A), [], B, [bool(A)|B]).
thun(bool(C), [A|B], D, E) :- thun(A, B, [bool(C)|D], E).
thun(list(A), [], B, [list(A)|B]).
thun(list(C), [A|B], D, E) :- thun(A, B, [list(C)|D], E).
% Partial reduction works for func/3 cases.
thun(symbol(A), [], B, C) :- func(A, B, C).
thun(symbol(A), [C|D], B, F) :- func(A, B, E), thun(C, D, E, F).
% Combinators look ok too.
% thun(symbol(A), D, B, C) :- combo(A, B, C, D, []).
% thun(symbol(A), C, B, G) :- combo(A, B, F, C, [D|E]), thun(D, E, F, G).
% However, in this case, I think the original version will be more
% efficient.
thun(symbol(Combo), E, Si, So) :- combo(Combo, Si, S, E, Eo), thun(Eo, S, So).
% In the reduced rules Prolog will redo all the work of the combo/5
% predicate on backtracking through the second rule. It will try combo/5,
% which usually won't end in Eo=[] so the first rule fails, then it will
% try combo/5 again in the second rule. In this form, after combo/5 has
% completed Prolog has computed Eo and can index on it for thun/3.
%
% Neither functions nor definitions can affect the expression so this
% consideration doesn't apply to those rules. The unification of the head
% clauses will distinguish the cases for them.
% Definitions don't work though (See "Partial Reducer" section below.)
% I hand-wrote the def/3 cases here.
thun(symbol(D), [], Si, So) :- def(D, [DH| E]), thun(DH, E, Si, So).
thun(symbol(D), [H|E0], Si, So) :- def(D, [DH|DE]),
append(DE, [H|E0], E), /* ................. */ thun(DH, E, Si, So).
% Partial reduction has been the subject of a great deal of research and
% I'm sure there's a way to make definitions work, but it's beyond the
% scope of the project at the moment. It works well enough as-is that I'm
% happy to manually write out two rules by hand.
% Some error handling.
thun(symbol(Unknown), _, _, _) :-
\+ def(Unknown, _),
\+ func(Unknown, _, _),
\+ combo(Unknown, _, _, _, _),
write("Unknown: "),
writeln(Unknown),
fail.
/*
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*/
func(words, S, [Words|S]) :- words(Words).
func(swap, [A, B|S], [B, A|S]).
func(dup, [A|S], [A, A|S]).
func(pop, [_|S], S ).
func(cons, [list(A), B |S], [list([B|A])|S]).
func(concat, [list(A), list(B)|S], [list(C)|S]) :- append(B, A, C).
func(flatten, [list(A)|S], [list(B)|S]) :- flatten(A, B).
func(swaack, [list(R)|S], [list(S)|R]).
func(stack, S , [list(S)|S]).
func(clear, _ , []).
func(first, [list([X|_])|S], [ X |S]).
func(rest, [list([_|X])|S], [list(X)|S]).
func(unit, [X|S], [list([X])|S]).
func(rolldown, [A, B, C|S], [B, C, A|S]).
func(dupd, [A, B|S], [A, B, B|S]).
func(over, [A, B|S], [B, A, B|S]).
func(tuck, [A, B|S], [A, B, A|S]).
func(shift, [list([B|A]), list(C)|D], [list(A), list([B|C])|D]).
func(rollup, Si, So) :- func(rolldown, So, Si).
func(uncons, Si, So) :- func(cons, So, Si).
func(bool, [ int(0)|S], [bool(false)|S]).
func(bool, [ list([])|S], [bool(false)|S]).
func(bool, [bool(false)|S], [bool(false)|S]).
func(bool, [ int(N)|S], [bool(true)|S]) :- N #\= 0.
func(bool, [list([_|_])|S], [bool(true)|S]).
func(bool, [ bool(true)|S], [bool(true)|S]).
% func(bool, [A|S], [bool(true)|S]) :- \+ func(bool, [A], [bool(false)]).
func('empty?', [ list([])|S], [ bool(true)|S]).
func('empty?', [ list([_|_])|S], [bool(false)|S]).
func('list?', [ list(_)|S], [ bool(true)|S]).
func('list?', [ bool(_)|S], [bool(false)|S]).
func('list?', [ int(_)|S], [bool(false)|S]).
func('list?', [symbol(_)|S], [bool(false)|S]).
func('one-or-more?', [list([_|_])|S], [ bool(true)|S]).
func('one-or-more?', [ list([])|S], [bool(false)|S]).
func(and, [bool(true), bool(true)|S], [ bool(true)|S]).
func(and, [bool(true), bool(false)|S], [bool(false)|S]).
func(and, [bool(false), bool(true)|S], [bool(false)|S]).
func(and, [bool(false), bool(false)|S], [bool(false)|S]).
func(or, [bool(true), bool(true)|S], [ bool(true)|S]).
func(or, [bool(true), bool(false)|S], [ bool(true)|S]).
func(or, [bool(false), bool(true)|S], [ bool(true)|S]).
func(or, [bool(false), bool(false)|S], [bool(false)|S]).
func( + , [int(A), int(B)|S], [int(C)|S]) :- C #= A + B.
func( - , [int(A), int(B)|S], [int(C)|S]) :- C #= B - A.
func( * , [int(A), int(B)|S], [int(C)|S]) :- C #= A * B.
func( / , [int(A), int(B)|S], [int(C)|S]) :- C #= B div A.
func('%', [int(A), int(B)|S], [int(C)|S]) :- C #= B mod A.
func('/%', [int(A), int(B)|S], [int(C), int(D)|S]) :- C #= B div A, D #= B mod A.
func( pm , [int(A), int(B)|S], [int(C), int(D)|S]) :- C #= A + B, D #= B - A.
func(>, [int(A), int(B)|S], [T|S]) :- B #> A #<==> R, r_truth(R, T).
func(<, [int(A), int(B)|S], [T|S]) :- B #< A #<==> R, r_truth(R, T).
func(=, [int(A), int(B)|S], [T|S]) :- B #= A #<==> R, r_truth(R, T).
func(>=, [int(A), int(B)|S], [T|S]) :- B #>= A #<==> R, r_truth(R, T).
func(<=, [int(A), int(B)|S], [T|S]) :- B #=< A #<==> R, r_truth(R, T).
func(<>, [int(A), int(B)|S], [T|S]) :- B #\= A #<==> R, r_truth(R, T).
r_truth(0, bool(false)).
r_truth(1, bool(true)).
/*
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╚═════╝ ╚═════╝ ╚═╝ ╚═╝╚═════╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝
*/
combo(i, [list(P)|S], S, Ei, Eo) :- append(P, Ei, Eo).
combo(dip, [list(P), X|S], S, Ei, Eo) :- append(P, [X|Ei], Eo).
combo(dipd, [list(P), X, Y|S], S, Ei, Eo) :- append(P, [Y, X|Ei], Eo).
combo(dupdip, [list(P), X|S], [X|S], Ei, Eo) :- append(P, [X|Ei], Eo).
combo(branch, [list(T), list(_), bool(true)|S], S, Ei, Eo) :- append(T, Ei, Eo).
combo(branch, [list(_), list(F), bool(false)|S], S, Ei, Eo) :- append(F, Ei, Eo).
combo(loop, [list(_), bool(false)|S], S, E, E ).
combo(loop, [list(B), bool(true)|S], S, Ei, Eo) :- append(B, [list(B), symbol(loop)|Ei], Eo).
combo(step, [list(_), list([])|S], S, E, E ).
combo(step, [list(P), list([X|Z])|S], [X|S], Ei, Eo) :- append(P, [list(Z), list(P), symbol(step)|Ei], Eo).
combo(times, [list(_), int(0)|S], S, E, E ).
combo(times, [list(P), int(1)|S], S, Ei, Eo) :- append(P, Ei, Eo).
combo(times, [list(P), int(N)|S], S, Ei, Eo) :- N #>= 2, M #= N - 1, append(P, [int(M), list(P), symbol(times)|Ei], Eo).
combo(times, [list(_), int(N)|S], S, _, _ ) :- N #< 0, fail.
combo(genrec, [R1, R0, Then, If|S],
[ Else, Then, If|S], E, [ifte|E]) :-
append(R0, [[If, Then, R0, R1, symbol(genrec)]|R1], Else).
combo(primrec, [list(_), list(B), int(N)|S], S, E, Eo) :-
N #=< 0,
append(B, E, Eo).
combo(primrec, [list(R), list(B), int(N) |S],
[list(R), list(B), int(M), int(N)|S], E, Eo) :-
N #> 0,
M #= N - 1,
append([symbol(primrec)|R], E, Eo).
/*
This is a crude but servicable implementation of the map combinator.
Obviously it would be nice to take advantage of the implied parallelism.
Instead the quoted program, stack, and terms in the input list are
transformed to simple Joy expressions that run the quoted program on
prepared copies of the stack that each have one of the input terms on
top. These expressions are collected in a list and the whole thing is
evaluated (with infra) on an empty list, which becomes the output list.
The chief advantage of doing it this way (as opposed to using Prolog's
map) is that the whole state remains in the pending expression, so
there's nothing stashed in Prolog's call stack. This preserves the nice
property that you can interrupt the Joy evaluation and save or transmit
the stack+expression knowing that you have all the state.
*/
combo(map, [list(_), list([])|S], [list([])|S], E, E ) :- !.
combo(map, [list(P), list(List)|S], [list(Mapped), list([])|S], E, [symbol(infra)|E]) :-
prepare_mapping(list(P), S, List, Mapped).
% Set up a program for each term in ListIn
%
% [term S] [P] infrst
%
% prepare_mapping(P, S, ListIn, ListOut).
prepare_mapping(Pl, S, In, Out) :- prepare_mapping(Pl, S, In, [], Out).
prepare_mapping( _, _, [], Out, Out) :- !.
prepare_mapping( Pl, S, [T|In], Acc, Out) :-
prepare_mapping(Pl, S, In, [list([T|S]), Pl, symbol(infrst)|Acc], Out).
/*
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╚═════╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝╚══════╝
*/
joy_def --> joy_parse([symbol(Name)|Body]), { assert_def(Name, Body) }.
assert_defs(DefsFile) :-
read_file_to_codes(DefsFile, Codes, []),
lines(Codes, Lines),
maplist(phrase(joy_def), Lines).
assert_def(Symbol, Body) :-
( % Don't let this "shadow" functions or combinators.
\+ func(Symbol, _, _),
\+ combo(Symbol, _, _, _, _)
) -> ( % Replace any existing defs of this name.
retractall(def(Symbol, _)),
assertz(def(Symbol, Body))
) ; true.
% Split on newline chars a list of codes into a list of lists of codes
% one per line. Helper function.
lines([], []) :- !.
lines(Codes, [Line|Lines]) :- append(Line, [0'\n|Rest], Codes), !, lines(Rest, Lines).
lines(Codes, [Codes]).
:- assert_defs("defs.txt").
% A meta function that finds the names of all available functions.
words(Words) :-
findall(Name, clause(func(Name, _, _), _), Funcs),
findall(Name, clause(combo(Name, _, _, _, _), _), Combos, Funcs),
findall(Name, clause(def(Name, _), _), Words0, Combos),
list_to_set(Words0, Words1),
sort(Words1, Words).
/*
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╚═════╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝╚══════╝╚═╝ ╚═╝
_ ___ _
| |_ ___ | _ \_ _ ___| |___ __ _
| _/ _ \ | _/ '_/ _ \ | _ \/ _` |
\__\___/ |_| |_| \___/_|___/\__, |
|___/
This is an experimental compiler from Joy expressions to Prolog code.
As you will see it's also doing type inference and type checking.
For many Joy expressions the existing code is enough to "compile" them to
Prolog code. E.g. the definition of 'third' is 'rest rest first' and
that's enough for the code to generate the "type" of the expression:
?- joy(`third`, Si, So).
Si = [list([_32906, _32942, _32958|_32960])|_32898],
So = [_32958|_32898] .
Because 'third' is just manipulating lists (the stack is a list too) the
type signature is the whole of the (Prolog) implementation of the
function:
?- sjc(third, `third`).
func(third, [list([_, _, A|_])|B], [A|B]).
So that's nice.
Functions that involve just math require capturing the constraints
recorded by the CLP(FD) subsystem. SWI Prolog provide a predicate
call_residue_vars/2 to do just that. Together with copy_term/3 it's
possible to collect all the information needed to capture functions
made out of math and stack/list manipulation. (I do not understand the
details of how they work. Markus Triska said they would do the trick and
they did.)
https://www.swi-prolog.org/pldoc/doc_for?object=call_residue_vars/2
https://www.swi-prolog.org/pldoc/doc_for?object=copy_term/3
I think this is sort of like "gradual" or "dependent" types. But the
formal theory there is beyond me. In any event, it captures the integer
constraints established by the expressions as well as the "types" of
inputs and outputs.
?- sjc(fn, `* + * -`).
func(fn, [int(H), int(I), int(F), int(D), int(C)|A], [int(B)|A]) :-
maplist(call,
[ clpfd:(B+E#=C),
clpfd:(G*D#=E),
clpfd:(J+F#=G),
clpfd:(H*I#=J)
]).
For functions involving 'branch', compilation results in one rule for each
(reachable) path of the branch:
?- sjc(fn, `[+] [-] branch`).
func(fn, [bool(true), int(C), int(D)|A], [int(B)|A]) :-
maplist(call, [clpfd:(B+C#=D)]).
func(fn, [bool(false), int(B), int(C)|A], [int(D)|A]) :-
maplist(call, [clpfd:(B+C#=D)]).
(Note that in the subtraction case (bool(true)) the CLP(FD) constraints
are coded as addition but the meaning is the same (subtaction) because of
how the logic variables are named: B + C #= D <==> B #= D - C.)
?- sjc(fn, `[[+] [-] branch] [pop *] branch`).
func(fn, [bool(true), _, int(B), int(C)|A], [int(D)|A]) :-
maplist(call, [clpfd:(B*C#=D)]).
func(fn, [bool(false), bool(true), int(C), int(D)|A], [int(B)|A]) :-
maplist(call, [clpfd:(B+C#=D)]).
func(fn, [bool(false), bool(false), int(B), int(C)|A], [int(D)|A]) :-
maplist(call, [clpfd:(B+C#=D)]).
Three paths, three rules. Neat, eh?
That leaves loop, genrec, and x combinators...
*/
joy_compile(Name, Expression) :- jcmpl(Name, Expression, Rule), asserta(Rule).
show_joy_compile(Name, Expression) :- jcmpl(Name, Expression, Rule), portray_clause(Rule).
jcmpl(Name, Expression, Rule) :-
call_residue_vars(thun(Expression, Si, So), Term),
copy_term(Term, Term, Gs),
Head =.. [func, Name, Si, So],
rule(Head, Gs, Rule).
rule(Head, [], Head).
rule(Head, [A|B], Head :- maplist(call, [A|B])).
sjc(Name, InputString) :- phrase(joy_parse(E), InputString), show_joy_compile(Name, E).
/*
Experiments with compilation.
?- sjc(fn, `[+ dup bool] loop`).
func(fn, [bool(false)|A], A).
func(fn, [bool(true), int(B), int(C)|A], [int(0)|A]) :-
maplist(call, [clpfd:(B+C#=0)]).
func(fn, [bool(true), int(D), int(E), int(B)|A], [int(0)|A]) :-
maplist(call,
[ clpfd:(B in inf.. -1\/1..sup),
clpfd:(C+B#=0),
clpfd:(C in inf.. -1\/1..sup),
clpfd:(D+E#=C)
]).
func(fn, [bool(true), int(F), int(G), int(D), int(B)|A], [int(0)|A]) :-
maplist(call,
[ clpfd:(B in inf.. -1\/1..sup),
clpfd:(C+B#=0),
clpfd:(C in inf.. -1\/1..sup),
clpfd:(E+D#=C),
clpfd:(E in inf.. -1\/1..sup),
clpfd:(F+G#=E)
]).
?- sjc(fn, `[] loop`).
func(fn, [bool(false)|A], A).
func(fn, [bool(true), bool(false)|A], A).
func(fn, [bool(true), bool(true), bool(false)|A], A).
func(fn, [bool(true), bool(true), bool(true), bool(false)|A], A).
So...
`[] loop` ::= true* false
sorta...
The quine '[[dup cons] dup cons]' works fine:
?- sjc(fn, `dup cons`).
func(fn, [list(A)|B], [list([list(A)|A])|B]).
?- sjc(fn, `[dup cons] dup cons`).
func(fn, A, [list([list([symbol(dup), symbol(cons)]), symbol(dup), symbol(cons)])|A]).
?- sjc(fn, `[dup cons] dup cons i`).
func(fn, A, [list([list([symbol(dup), symbol(cons)]), symbol(dup), symbol(cons)])|A]).
?- sjc(fn, `[dup cons] dup cons i i i i`).
func(fn, A, [list([list([symbol(dup), symbol(cons)]), symbol(dup), symbol(cons)])|A]).
In the right context the system will "hallucinate" programs:
?- sjc(fn, `x`).
func(fn, [list([])|A], [list([])|A]).
func(fn, [list([int(A)])|B], [int(A), list([int(A)])|B]).
func(fn, [list([bool(A)])|B], [bool(A), list([bool(A)])|B]).
func(fn, [list([list(A)])|B], [list(A), list([list(A)])|B]).
func(fn, [list([symbol(?)])|A], [bool(true), list([symbol(?)])|A]).
func(fn, [list([symbol(app1)]), list([]), A|B], [A, A|B]).
func(fn, [list([symbol(app1)]), list([int(A)]), B|C], [int(A), B|C]).
func(fn, [list([symbol(app1)]), list([bool(A)]), B|C], [bool(A), B|C]).
With iterative deepening this might be very interesting...
Infinite loops are infinite:
?- sjc(fn, `[x] x`).
ERROR: Out of global-stack.
?- sjc(fn, `sum`).
func(fn, [list([])|A], [int(0)|A]).
func(fn, [list([int(A)])|B], [int(A)|B]) :-
maplist(call, [clpfd:(A in inf..sup)]).
func(fn, [list([int(C), int(B)])|A], [int(D)|A]) :-
maplist(call, [clpfd:(B+C#=D)]).
func(fn, [list([int(E), int(D), int(B)])|A], [int(C)|A]) :-
maplist(call,
[ clpfd:(B+F#=C),
clpfd:(D+E#=F)
]).
func(fn, [list([int(G), int(F), int(D), int(B)])|A], [int(C)|A]) :-
maplist(call,
[ clpfd:(B+E#=C),
clpfd:(D+H#=E),
clpfd:(F+G#=H)
]).
TODO: genrec, fix points.
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_ __ __ _ _ ___ _
| |_ ___ | \/ |__ _ __| |_ (_)_ _ ___ / __|___ __| |___
| _/ _ \ | |\/| / _` / _| ' \| | ' \/ -_) | (__/ _ \/ _` / -_)
\__\___/ |_| |_\__,_\__|_||_|_|_||_\___| \___\___/\__,_\___|
Options for getting machine code out of Joy (in Prolog) code?
1) Translate Joy to Factor and delegate to Factor's native code
generation.
2) Use e.g. GNU Prolog to compile the Prolog code of Joy.
3) Translate to:
3a) LLVM IR.
3b) Some subset of C.
3c) Python for Cython.
3d) WASM? Something else...?
But those all rely on a big pile of OPC (Other Ppl's Code). WHich brings
me to...
4) Oberon RISC CPU machine code. The one I really want to do. I have an
assembler for it, there are emulators and FPGA incarnations, and it's
small and clean.
4a) Prolog machine description of the RISC chip.
4b) How to actually compile Joy to asm? There is a wealth of
available information and research to draw on, but most of it is in
the context of cenventional languages. Static Joy code presents few
problems but the dynamic nature of most Joy programs does, I think.
(I.e. a lot of Joy code starts by constructing some other Joy code
and running it. It remains to be seen how much of a challenge that
will be. In the limit, you need Prolog at runtime to JIT compile.)
4c) Self-hosting requires Prolog-in-Joy.
___ ___ ___ ___ __ __ _ _ ___ _
| _ |_ _/ __|/ __| | \/ |__ _ __| |_ (_)_ _ ___ / __|___ __| |___
| /| |\__ | (__ | |\/| / _` / _| ' \| | ' \/ -_) | (__/ _ / _` / -_)
|_|_|___|___/\___| |_| |_\__,_\__|_||_|_|_||_\___| \___\___\__,_\___|
This is an experimental compiler from Joy expressions to machine code.
One interesting twist is that Joy doesn't mention variables, just the
operators, so they have to be inferred from the ops.
So let's take e.g. '+'?
It seems we want to maintain a mapping from stack locations to registers,
and maybe from locations in lists on the stack, and to memory locations as
well as registers?
But consider 'pop', the register pointed to by stack_0 is put back in an
available register pool, but then all the stack_N mappings have to point
to stack_N+1 (i.e. stack_0 must now point to what stack_1 pointed to and
stack_1 must point to stack_2, and so on...)
What if we keep a stack of register/RAM locations in the same order as
the Joy stack?
Reference counting for registers? Can it be avoided? When you "free" a
register you can just check the stack to see if it's still in there and,
if not, release it back to the free pool. You can amortize that w/o
keeping a counter by keeping a linear list of registers alongside the
stack and pushing and popping registers from it as they are used/free'd
and then checking if a register is ready for reclaimation is just
member/3. Or you can just keep a reference count for each register...
Would it be useful to put CLP(FD) constraints on the ref counts?
reggy(FreePool, References, ValueMap)
*/
encode_list(List, FP, FP, Addr) --> [],
{addr(list(List))=Addr}.
get_reggy([], _, _) :- writeln('Out of Registers'), fail.
get_reggy([Reg|FreePool], Reg, FreePool).
get_reg(Reg, reggy(FreePool0, References, V), reggy(FreePool, [Reg|References], V)) --> [],
{get_reggy(FreePool0, Reg, FreePool)}.
free_reg(Reg, reggy(FreePool0, References0, V0), reggy(FreePool, References, V)) --> [],
{ select(Reg, References0, References),
( member(Reg, References) % If reg is still in use
-> FreePool= FreePool0, V0=V % we can't free it yet
; FreePool=[Reg|FreePool0], % otherwise we put it back in the pool.
del_assoc(Reg, V0, _, V)
)}.
add_ref(Reg, reggy(FreePool, References, V), reggy(FreePool, [Reg|References], V)) --> [].
assoc_reg(Reg, Value, reggy(FreePool, References, V0), reggy(FreePool, References, V)) --> [],
{put_assoc(Reg, V0, Value, V)}.
thun_compile(E, Si, So, FP) -->
{empty_assoc(V),
FP0=reggy([r0, r1, r2, r3,
r4, r5, r6, r7,
r8, r9, rA, rB,
rC, rD, rE, rF], [], V)},
thun_compile(E, Si, So, FP0, FP).
thun_compile([], S, S, FP, FP) --> [].
thun_compile([Term|Rest], Si, So, FP0, FP1) --> thun_compile(Term, Rest, Si, So, FP0, FP1).
thun_compile(int(I), E, Si, So, FP0, FP) -->
[mov_imm(R, int(I))],
get_reg(R, FP0, FP1), assoc_reg(R, int(I), FP1, FP2),
thun_compile(E, [R|Si], So, FP2, FP).
thun_compile(bool(B), E, Si, So, FP0, FP) -->
get_reg(R, FP0, FP1), assoc_reg(R, bool(B), FP1, FP2),
thun_compile(E, [R|Si], So, FP2, FP).
thun_compile(list(L), E, Si, So, FP0, FP) -->
encode_list(L, FP0, FP1, Addr),
get_reg(R, FP1, FP2),
[load_imm(R, Addr)],
assoc_reg(R, Addr, FP2, FP3),
thun_compile(E, [R|Si], So, FP3, FP).
thun_compile(symbol(Name), E, Si, So, FP0, FP) --> {def(Name, _)}, !, def_compile(Name, E, Si, So, FP0, FP).
thun_compile(symbol(Name), E, Si, So, FP0, FP) --> {func(Name, _, _)}, !, func_compile(Name, E, Si, So, FP0, FP).
thun_compile(symbol(Name), E, Si, So, FP0, FP) --> {combo(Name, _, _, _, _)}, combo_compile(Name, E, Si, So, FP0, FP).
% I'm going to assume that any defs that can be compiled to funcs already
% have been. Defs that can't be pre-compiled shove their body expression
% onto the pending expression (continuation) to be compiled "inline".
def_compile(Def, E, Si, So, FP0, FP) -->
{def(Def, Body),
append(Body, E, Eo)},
thun_compile(Eo, Si, So, FP0, FP).
% swap (et. al.) doesn't change register refs nor introspect values
% so we can delegate its effect to the semantic relation.
non_alloc(swap).
non_alloc(rollup).
non_alloc(rolldown).
% Functions delegate to a per-function compilation relation.
func_compile(+, E, [A, B|S], So, FP0, FP) --> !,
free_reg(A, FP0, FP1),
free_reg(B, FP1, FP2),
get_reg(R, FP2, FP3),
assoc_reg(R, int(_), FP3, FP4),
[add(R, A, B)],
% Update value in the context?
thun_compile(E, [R|S], So, FP4, FP).
func_compile(dup, E, [A|S], So, FP0, FP) --> !,
add_ref(A, FP0, FP1),
thun_compile(E, [A, A|S], So, FP1, FP).
func_compile(pop, E, [A|S], So, FP0, FP) --> !,
free_reg(A, FP0, FP1),
thun_compile(E, S, So, FP1, FP).
func_compile(cons, E, [List, Item|S], So, FP0, FP) --> !,
% allocate a cons cell
% https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-33.html#%_sec_5.3
thun_compile(E, S, So, FP0, FP).
func_compile(Func, E, Si, So, FP0, FP) --> { non_alloc(Func), !,
func(Func, Si, S) },
thun_compile(E, S, So, FP0, FP).
func_compile(_Func, E, Si, So, FP0, FP) -->
% look up function, compile it...
{Si = S},
thun_compile(E, S, So, FP0, FP).
combo_compile(_Combo, E, Si, So, FP0, FP) -->
% look up combinator, compile it...
{Si = S, E = Eo},
thun_compile(Eo, S, So, FP0, FP).
compiler(InputString, MachineCode, StackIn, StackOut) :-
phrase(joy_parse(Expression), InputString), !,
phrase(thun_compile(Expression, StackIn, StackOut, _), MachineCode, []).
show_compiler(InputString, StackIn, StackOut) :-
phrase(joy_parse(Expression), InputString), !,
phrase(thun_compile(Expression, StackIn, StackOut, reggy(_, _, V)), MachineCode, []),
maplist(portray_clause, MachineCode),
assoc_to_list(V, VP),
portray_clause(VP).
/*
?- compiler(`1 2 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(_18272, int(1)), mov_imm(_18298, int(2))],
StackOut = [_18298, _18272|StackIn].
- - - -
?- compiler(`1 2 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r1, int(1)), mov_imm(r2, int(2)), add(r1, r2, r1)],
StackOut = [r1|StackIn].
?- compiler(`1 2 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r1, int(1)), mov_imm(r2, int(2)), add(r1, r2, r1)],
StackOut = [r1|StackIn].
?- compiler(`1 2 + 3 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r1, int(1)), mov_imm(r2, int(2)), add(r1, r2, r1), mov_imm(r3, int(3)), add(r1, r3, r1)],
StackOut = [r1|StackIn].
?- compiler(`1 2 + +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r1, int(1)), mov_imm(r2, int(2)), add(r1, r2, r1), add(_37848, r1, _37848)],
StackIn = StackOut, StackOut = [_37848|_37850].
?- compiler(`+ +`, MachineCode, StackIn, StackOut).
MachineCode = [add(_37270, _37264, _37270), add(_37688, _37270, _37688)],
StackIn = [_37264, _37270, _37688|_37690],
StackOut = [_37688|_37690].
?- compiler(`+ +`, MachineCode, [r1, r2, r3], StackOut).
MachineCode = [add(r2, r1, r2), add(r3, r2, r3)],
StackOut = [r3].
?- compiler(`+ +`, MachineCode, [r1, r2, r3, r4, r5, r6, r7], StackOut).
MachineCode = [add(r2, r1, r2), add(r3, r2, r3)],
StackOut = [r3, r4, r5, r6, r7].
- - - - -
?- compiler(`1 2 3 + +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r0, int(1)), mov_imm(r1, int(2)), mov_imm(r2, int(3)), add(r1, r2, r1), add(r0, r1, r0)],
StackOut = [r0|StackIn].
register free seems to work...
?- compiler(`1 2 + 3 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r0, int(1)), mov_imm(r1, int(2)), add(r0, r1, r0), mov_imm(r1, int(3)), add(r0, r1, r0)],
StackOut = [r0|StackIn] ;
false.
- - - -
?- compiler(`1 2 dup + 3 +`, MachineCode, StackIn, StackOut).
MachineCode = [mov_imm(r0, int(1)), mov_imm(r1, int(2)), add(r1, r1, r1), mov_imm(r2, int(3)), add(r1, r2, r1)],
StackOut = [r1, r0|StackIn] .
?- compiler(`dup +`, MachineCode, StackIn, StackOut).
MachineCode = [add(_37000, _37000, _37000)],
StackIn = StackOut, StackOut = [_37000|_37002].
?- compiler(`dup +`, MachineCode, [r0], StackOut).
MachineCode = [add(r0, r0, r0)],
StackOut = [r0].
?- compiler(`dup +`, MachineCode, [r0], [r0]).
MachineCode = [add(r0, r0, r0)].
- - - -
?- compiler(`1 2 3 4 5 + + + 6 7 + 8 + +`, MachineCode, StackIn, StackOut), maplist(portray_clause, MachineCode).
mov_imm(r0, int(1)).
mov_imm(r1, int(2)).
mov_imm(r2, int(3)).
mov_imm(r3, int(4)).
mov_imm(r4, int(5)).
add(r3, r4, r3).
add(r2, r3, r2).
add(r1, r2, r1).
mov_imm(r2, int(6)).
mov_imm(r3, int(7)).
add(r2, r3, r2).
mov_imm(r3, int(8)).
add(r2, r3, r2).
add(r1, r2, r1).
Fun!
- - - -
Test that returning registers before asking for new ones
does reuse registers that are unused and preserve registers
that are still in use.
?- show_compiler(`1 dup 2 + swap 3 +`, StackIn, StackOut).
mov_imm(r0, int(1)).
mov_imm(r1, int(2)).
add(r1, r1, r0).
mov_imm(r2, int(3)).
add(r0, r2, r0).
[r0-int(_), r1-int(_)].
StackOut = [r0, r1|StackIn] .
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╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝╚═╝ ╚═══╝╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═╝ ╚═══╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝ ╚═╝
*/
% Simple DCGs to expand/contract definitions.
expando, Body --> [Def], {def(Def, Body)}.
contracto, [Def] --> {def(Def, Body)}, Body.
% Apply expando/contracto more than once, and descend into sub-lists.
% The K term is one of expando or contracto, and the J term is used
% on sub-lists, i.e. expando/grow and contracto/shrink.
% BTW, "rebo" is a meaningless name, don't break your brain
% trying to figure it out.
rebo(K, J) --> K , rebo(K, J).
rebo(K, J), [E] --> [[H|T]], !, {call(J, [H|T], E)}, rebo(K, J).
rebo(K, J), [A] --> [ A ], !, rebo(K, J).
rebo(_, _) --> [].
to_fixed_point(DCG, Ei, Eo) :-
phrase(DCG, Ei, E), % Apply DCG...
(Ei=E -> Eo=E ; to_fixed_point(DCG, E, Eo)). % ...until a fixed-point is reached.
grow --> to_fixed_point(rebo(expando, grow )).
shrink --> to_fixed_point(rebo(contracto, shrink)).
% ?- phrase(grow, [third], Out).
% Out = [rest, rest, first] ;
% Out = [rest, rest, first] ;
% Out = [rest, second] ;
% Out = [third].
% ?- phrase(shrink, [rest, rest, first], Out).
% Out = [rrest, first] ;
% Out = [third] ;
% Out = [rest, second] ;
% Out = [rest, rest, first].
/*
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╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚══════╝╚═╝ ╚═╝
?- phrase(joy_parse(E), `22 18 true [false] [1[2[3]]]`), !, format_joy_terms(E, A, []), string_codes(S, A).
E = [int(22), int(18), bool(true), list([bool(false)]), list([int(1), list([...|...])])],
A = [50, 50, 32, 49, 56, 32, 116, 114, 117|...],
S = "22 18 true [false] [1 [2 [3]]]".
*/
format_joy_expression( int(I)) --> { number_codes(I, Codes) }, Codes.
format_joy_expression( bool(B)) --> { atom_codes(B, Codes) }, Codes.
format_joy_expression(symbol(S)) --> { atom_codes(S, Codes) }, Codes.
format_joy_expression( list(J)) --> "[", format_joy_terms(J), "]".
format_joy_terms( []) --> [].
format_joy_terms( [T]) --> format_joy_expression(T), !.
format_joy_terms([T|Ts]) --> format_joy_expression(T), " ", format_joy_terms(Ts).
joy_terms_to_string(Expr, String) :-
format_joy_terms(Expr, Codes, []),
string_codes(String, Codes).
/*
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╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝
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╚═╝ ╚═╝╚══════╝╚═════╝ ╚═════╝ ╚═════╝╚══════╝╚═╝ ╚═╝
Partial Reducer from "The Art of Prolog" by Sterling and Shapiro
Program 18.3, pg. 362 */
process(Program, ReducedProgram) :-
findall(PC1, (member(C1, Program), preduce(C1, PC1)), ReducedProgram).
preduce( (A :- B), (Pa :- Pb) ) :- !, preduce(B, Pb), preduce(A, Pa).
preduce( true, true ) :- !.
preduce( (A, B), Residue ) :- !, preduce(A, Pa), preduce(B, Pb), combine(Pa, Pb, Residue).
% preduce( A, B ) :- should_fold(A, B), !.
preduce( A, Residue ) :- should_unfold(A), !, clause(A, B), preduce(B, Residue).
preduce( A, A ).
% As {*,1} and {+,0} so we have {(,),true}. Whatsitsname? Monoid or something...
% {*,0} {+,Inf} {(,),fail}...
combine(true, B, B) :- !.
combine(A, true, A) :- !.
combine(A, B, (A, B)).
/*
Partial reduction of thun/3 in the thun/4 relation gives a new
version of thun/4 that is tail-recursive. You generate the new
relation rules like so:
?- thunder(C), process(C, R), maplist(portray_clause, R).
I just cut-n-paste from the SWI terminal and rearrange it.
*/
should_unfold(thun(_, _, _)).
% should_unfold(func(_, _, _)).
% should_unfold(def(_, _)).
thunder([ % Source code for thun/4.
(thun( int(I), E, Si, So) :- thun(E, [ int(I)|Si], So)),
(thun(bool(B), E, Si, So) :- thun(E, [bool(B)|Si], So)),
(thun(list(L), E, Si, So) :- thun(E, [list(L)|Si], So)),
% (thun(symbol(Def), E, Si, So) :- def(Def, [Head|Body]), append(Body, E, Eo), thun(Head, Eo, Si, So)),
(thun(symbol(Func), E, Si, So) :- func(Func, Si, S), thun(E, S, So))
% (thun(symbol(Combo), E, Si, So) :- combo(Combo, Si, S, E, Eo), thun(Eo, S, So))
]).
/*
N.B.: in 'thun(symbol(Def)...' the last clause has changed from thun/3 to thun/4.
The earlier version doesn't transform into correct code:
thun(symbol(B), D, A, A) :- def(B, C), append(C, D, []).
thun(symbol(A), C, F, G) :- def(A, B), append(B, C, [D|E]), thun(D, E, F, G).
With the change to thun/4 it doesn't transform under reduction w/ thun/3.
You can also unfold def/2 and func/3 (but you need to check for bugs!)
Functions become clauses like these:
thun(symbol(rolldown), [], [C, A, B|D], [A, B, C|D]).
thun(symbol(rolldown), [A|B], [E, C, D|F], G) :- thun(A, B, [C, D, E|F], G).
thun(symbol(dupd), [], [A, B|C], [A, B, B|C]).
thun(symbol(dupd), [A|B], [C, D|E], F) :- thun(A, B, [C, D, D|E], F).
thun(symbol(over), [], [B, A|C], [A, B, A|C]).
thun(symbol(over), [A|B], [D, C|E], F) :- thun(A, B, [C, D, C|E], F).
Definitions become
thun(symbol(of), A, D, E) :-
append([symbol(swap), symbol(at)], A, [B|C]),
thun(B, C, D, E).
thun(symbol(pam), A, D, E) :-
append([list([symbol(i)]), symbol(map)], A, [B|C]),
thun(B, C, D, E).
thun(symbol(popd), A, D, E) :-
append([list([symbol(pop)]), symbol(dip)], A, [B|C]),
thun(B, C, D, E).
These are tail-recursive and allow for better indexing so I would expect
them to be more efficient than the originals. Ii would be even nicer to
get them looking like this:
thun(symbol(of), A, D, E) :- thun(symbol(swap), [symbol(at)|A], D, E).
And then if 'swap' was a definition you could push it out even further,
you could pre-expand definitions and functions (and maybe even some
combinators!)
*/
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