:- prompt(_, '').
:- use_module(library(readutil)).
kind
(KC
,var(Z
),K1
) :- first
(Z
:K
,KC
), instantiate
(K
,K1
).kind(KC,F $ G, K2) :- kind(KC,F,K1 -> K2), kind(KC,G,K1).
kind(KC,A -> B,o) :- kind(KC,A,o), kind(KC,B,o).
kind(KC,mu(F), K) :- kind(KC,F,K->K).
type
(KC
,C
,var(X
), T1
) --> { first
(X
:T
,C
) }, inst_type
(KC
,T
,T1
).type(KC,C,lam(X,E), A->B) --> type(KC,[X:mono(A)|C],E,B), [kind(KC,A->B,o)].
type(KC,C,X $ Y, B) --> type(KC,C,X,A->B), type(KC,C,Y,A).
type(KC,C,let(X=E0,E1),T) --> type(KC,C,E0,A), type(KC,[X:poly(C,A)|C],E1,T).
type(KC,C,in(N,E), T) --> type(KC,C,E,T0),
{ unfold_N_ap
(1+N
,T0
,F
,[mu
(F
)|Is]), %%%%% Alts is a pattern lambda. (Alts $ E) is "case E of Alts" in Haskell
type(KC,C, Alts,A->T) --> type_alts(KC,C,Alts,A->T), [kind(KC,A->T,o)].
type(KC,C,mit(X,Alts),mu(F)->T) -->
{ is_list(Alts), gensym(r,R),
KC1
= [R
:mono
(o
)|KC
], C1
= [X
:poly
(C
,var(R
)->T
)|C
] }, type_alts(KC1,C1,Alts,F$var(R)->T).
type(KC,C,mit(X,Is-->T0,Alts),A->T) -->
{ is_list(Alts), gensym(r,R),
foldl_ap
(mu
(F
),Is,A
), foldl_ap
(var(R
),Is,RIs
), KC1 = [R:mono(K)|KC], C1 = [X:poly(C,RIs->T0)|C] },
[kind(KC,F,K->K), kind(KC,A->T,o)], % delayed goals
{ foldl_ap
(F
,[var(R
)|Is],FRIs
) }, type_alts(KC1,C1,Alts,FRIs->T).
type_alts(KC,C,[Alt], A->T) --> type_alt(KC,C,Alt,A->T).
type_alts(KC,C,[Alt,Alt2|Alts],A->T) --> type_alt(KC,C,Alt,A->T),
type_alts(KC,C,[Alt2|Alts],A->T).
type_alt(KC,C,P->E,A->T) --> % assume single depth pattern (C x0 .. xn)
{ P =.. [Ctor|Xs], upper_atom(Ctor),
foldl_ap
(var(Ctor
),Vs
,PE
),% PE=var('Cons')$var(x)$var(xs) when E='Cons'(x,xs) findall(X
:mono
(_
),member
(X
,Xs
),C1
,C
) }, % C1 extends C with bindings for Xs type(KC,C1,PE,A), type(KC,C1,E,T).
% assume upper atoms are tycon or con names and lower ones are var names
unfold_N_ap(0,E, E,[]).
unfold_N_ap(N,E0$E1,E,Es) :-
N
>0, M
is N
-1, unfold_N_ap
(M
,E0
,E
,Es0
), append
(Es0
,[E1
],Es
).
foldl_ap(E, [] , E).
foldl_ap(E0,[E1|Es], E) :- foldl_ap(E0$E1, Es, E).
first(X:T,[X1:T1|_]) :- X = X1, T = T1.
first(X:T,[X1:_|Zs]) :- X\==X1, first(X:T, Zs).
instantiate(mono(T),T).
instantiate
(poly
(C
,T
),T1
) :- copy_term(t
(C
,T
),t
(C
,T1
)).
inst_type(KC,poly(C,T),T2) -->
free_variables(T,Xs), free_variables(T1,Xs1) }, % Xs and Xs1 are same length
samekinds(KC,Xs,Xs1), { T1=T2 }. %% unify T1 T2 later (T2 might not be var)
inst_type(_ ,mono(T),T) --> [].
samekinds(KC,[X|Xs],[Y|Ys]) --> { X\==Y }, [kind(KC,X,K),kind(KC,Y,K)],
samekinds(KC,Xs,Ys).
samekinds(KC,[X|Xs],[X|Ys]) --> [], samekinds(KC,Xs,Ys).
samekinds(_ ,[],[]) --> [].
variablize
(var(X
)) :- gensym
(t
,X
).
main:-
process,
type_and_print(KC,C,E,T) :-
phrase(type(KC,C,E,T),Gs),
(bagof(Ty
, X^Y^member
(kind
(X
,Ty
,Y
),Gs
), Tys
); Tys
=[]), free_variables
(Tys
,Xs
), maplist
(variablize
,Xs
), maplist
(call,Gs
), write("kind ctx instantiated as
: "
), print
(KC
), nl, print
(E
: T
), nl.
process:-
/* your code goes here */
type_and_print
(_
,[],lam
(x
,var(x
)),_
), nl, type_and_print
(_
,[],lam
(x
,lam
(y
,var(y
)$var
(x
))),_
), nl, type_and_print
(_
,[],let
(id
=lam
(x
,var(x
)),var(id
)$var
(id
)),_
), nl, KC0 =
[ 'N':mono(o->o)
, 'L':mono(o->o->o)
, 'B':mono((o->o)->(o->o))
],
C0 =
[ 'Z':poly([] , N$R1)
, 'S':poly([] , R1 -> N$R1)
, 'N':poly([] , L$A2$R2)
, 'C':poly([] , A2->(R2->(L$A2$R2)))
, 'BN':poly([] , B$R3$A3)
, 'BC':poly([] , A3 -> R3$(R3$A3) -> B$R3$A3)
, 'plus':poly([], mu(N) -> mu(N) -> mu(N))
%% , 'undefined':poly([], X1231245424)
],
% data B r a = BN | BC a (r(r a))
% B : (* -> *) -> (* -> *)
% BN: B r a
% BC: a -> r(r a) -> B r a
Zero=in(0,Z), Succ=lam(x,in(0,S$X)),
Nil=in(0,N), Cons=lam(x,lam(xs,in(0,C$X$var(xs)))),
BN
= var('BN'), BC
= var('BC'), BNil=in(1,BN), BCons=lam(x,lam(xs,in(1,BC$X$var(xs)))),
TM_id = lam(x,X),
TM_S = lam(x,lam(y,lam(w,(X$W)$(Y$W)))),
TM_bad = lam(x,X$X),
TM_e1
= let
(id
=TM_id
,var(id
)$var
(id
)), TM_e2 = lam(y,let(x=lam(w,Y),X$X)),
TM_e3a = (C$Zero$Nil),
TM_e3f = ['N'->Zero,'C'(x,xs)->X], %% $ (C$Zero$Nil),
TM_e3 = ['N'->Zero,'C'(x,xs)->X] $ (C$Zero$Nil),
TM_lendumb0 = mit(len,['N'->Zero]),
TM_lendumb = mit(len,['N'->Zero,'C'(x,xs)->Zero]),
TM_len
= mit
(len
,['N'->Zero
,'C'(x
,xs
)->Succ$
(var(len
)$var
(xs
))]), %% length of list example
TM_e4
= let
(length
=TM_len
, Cons$
(var(length
)$
(Cons$Zero$Nil
)) $
(Cons$
(var(length
)$
(Cons$Nil$Nil
)) $ Nil
) ), %% sum of bush example
TM_e5 = mit(bsum, [I]-->((I->mu(N))->mu(N)),
[ 'BN' -> lam(f,Zero)
, 'BC'(x,xs) -> lam(f,
$ lam
(ys
,var(bsum
)$var
(ys
)$var
(f
)) ) )
]),
type_and_print
(KC1
,C1
,lam
(x
,lam
(n
,X$Succ$var
(n
))),_
), nl, !, type_and_print
(KC2
,C2
,TM_e3
,_
), nl, !, type_and_print
(KC3
,C3
,TM_len
,_
), nl, !, type_and_print
(KC4
,C4
,TM_e4
,_
), nl, !, type_and_print
(KC5
,C5
,TM_e5
,_
), nl, !,
%% haven't really shown examples of type constructor polymorphsim or
%% kind polymorphism here but you get the idea what strucutural extensions
%% to HM are needed to support type constructor and kind polymoprhisms.
%% At this level, the examples are complex enough. So downloading it and
%% running it on your local SWI-Prolog may be more pleasant to experiment.
%% You may also want a parser and pretty printer for micronax language.
:- main.
:- set_prolog_flag(verbose,silent).
:- prompt(_, '').
:- use_module(library(readutil)).

:- set_prolog_flag(occurs_check,true).
:- op(500,yfx,$).

kind(KC,var(Z),K1) :- first(Z:K,KC), instantiate(K,K1).
kind(KC,F $ G, K2) :- kind(KC,F,K1 -> K2), kind(KC,G,K1).
kind(KC,A -> B,o)  :- kind(KC,A,o), kind(KC,B,o).
kind(KC,mu(F), K)  :- kind(KC,F,K->K).

type(KC,C,var(X),     T1) --> { first(X:T,C) }, inst_type(KC,T,T1).
type(KC,C,lam(X,E), A->B) --> type(KC,[X:mono(A)|C],E,B), [kind(KC,A->B,o)].
type(KC,C,X $ Y,       B) --> type(KC,C,X,A->B), type(KC,C,Y,A).
type(KC,C,let(X=E0,E1),T) --> type(KC,C,E0,A), type(KC,[X:poly(C,A)|C],E1,T).
type(KC,C,in(N,E),     T) --> type(KC,C,E,T0),
                              { unfold_N_ap(1+N,T0,F,[mu(F)|Is]),
                                foldl_ap(mu(F),Is,T) }.
%%%%% Alts is a pattern lambda. (Alts $ E) is "case E of Alts" in Haskell
type(KC,C,     Alts,A->T) --> type_alts(KC,C,Alts,A->T), [kind(KC,A->T,o)].

type(KC,C,mit(X,Alts),mu(F)->T) -->
  { is_list(Alts), gensym(r,R),
    KC1 = [R:mono(o)|KC], C1 = [X:poly(C,var(R)->T)|C] },
  type_alts(KC1,C1,Alts,F$var(R)->T).

type(KC,C,mit(X,Is-->T0,Alts),A->T) -->
  { is_list(Alts), gensym(r,R),
    foldl_ap(mu(F),Is,A), foldl_ap(var(R),Is,RIs),
    KC1 = [R:mono(K)|KC], C1 = [X:poly(C,RIs->T0)|C] },
  [kind(KC,F,K->K), kind(KC,A->T,o)], % delayed goals
  { foldl_ap(F,[var(R)|Is],FRIs) },
  type_alts(KC1,C1,Alts,FRIs->T).


type_alts(KC,C,[Alt],          A->T) --> type_alt(KC,C,Alt,A->T).
type_alts(KC,C,[Alt,Alt2|Alts],A->T) --> type_alt(KC,C,Alt,A->T),
                                         type_alts(KC,C,[Alt2|Alts],A->T).

type_alt(KC,C,P->E,A->T) --> % assume single depth pattern (C x0 .. xn)
  { P =.. [Ctor|Xs], upper_atom(Ctor),
    findall(var(X),member(X,Xs),Vs),
    foldl_ap(var(Ctor),Vs,PE),% PE=var('Cons')$var(x)$var(xs) when E='Cons'(x,xs)
    findall(X:mono(_),member(X,Xs),C1,C) }, % C1 extends C with bindings for Xs
  type(KC,C1,PE,A), type(KC,C1,E,T).

% assume upper atoms are tycon or con names and lower ones are var names
upper_atom(A) :- atom(A), atom_chars(A,[C|_]), char_type(C,upper).
lower_atom(A) :- atom(A), atom_chars(A,[C|_]), char_type(C,lower).

unfold_N_ap(0,E,    E,[]).
unfold_N_ap(N,E0$E1,E,Es) :-
  N>0, M is N-1, unfold_N_ap(M,E0,E,Es0), append(Es0,[E1],Es).

foldl_ap(E, []     , E).
foldl_ap(E0,[E1|Es], E) :- foldl_ap(E0$E1, Es, E).



first(X:T,[X1:T1|_]) :- X = X1, T = T1.
first(X:T,[X1:_|Zs]) :- X\==X1, first(X:T, Zs).

instantiate(mono(T),T).
instantiate(poly(C,T),T1) :- copy_term(t(C,T),t(C,T1)).

inst_type(KC,poly(C,T),T2) -->
  { copy_term(t(C,T),t(C,T1)), 
    free_variables(T,Xs), free_variables(T1,Xs1) }, % Xs and Xs1 are same length
  samekinds(KC,Xs,Xs1), { T1=T2 }. %% unify T1 T2 later (T2 might not be var)
inst_type(_ ,mono(T),T) --> [].

samekinds(KC,[X|Xs],[Y|Ys]) --> { X\==Y }, [kind(KC,X,K),kind(KC,Y,K)],
                                samekinds(KC,Xs,Ys).
samekinds(KC,[X|Xs],[X|Ys]) --> [], samekinds(KC,Xs,Ys).
samekinds(_ ,[],[]) --> [].

variablize(var(X)) :- gensym(t,X).

main:-
	process,
	halt.

type_and_print(KC,C,E,T) :-
  phrase(type(KC,C,E,T),Gs),
  (bagof(Ty, X^Y^member(kind(X,Ty,Y),Gs), Tys); Tys=[]),
  free_variables(Tys,Xs), maplist(variablize,Xs), maplist(call,Gs),
  write("kind ctx instantiated as: "), print(KC), nl, print(E : T), nl.

process:-
	/* your code goes here */
	type_and_print(_,[],lam(x,var(x)),_), nl,
	type_and_print(_,[],lam(x,lam(y,var(y)$var(x))),_), nl,
	type_and_print(_,[],let(id=lam(x,var(x)),var(id)$var(id)),_), nl,
	KC0 =
	 [ 'N':mono(o->o)
     , 'L':mono(o->o->o)
     , 'B':mono((o->o)->(o->o))
     ],
    C0 =
     [ 'Z':poly([] , N$R1)
     , 'S':poly([] , R1 -> N$R1)
     , 'N':poly([] , L$A2$R2)
     , 'C':poly([] , A2->(R2->(L$A2$R2)))
     , 'BN':poly([] , B$R3$A3)
     , 'BC':poly([] , A3 -> R3$(R3$A3) -> B$R3$A3)
     , 'plus':poly([], mu(N) -> mu(N) -> mu(N))
     %% , 'undefined':poly([], X1231245424)
     ],
    N = var('N'), L = var('L'), B = var('B'),
% data B r a = BN | BC a (r(r a))
% B : (* -> *) -> (* -> *)
% BN: B r a
% BC: a -> r(r a) -> B r a
    X = var(x), Y = var(y), W = var(w),
    Z = var('Z'), S = var('S'),
    Zero=in(0,Z), Succ=lam(x,in(0,S$X)),
    N = var('N'), C = var('C'),
    Nil=in(0,N), Cons=lam(x,lam(xs,in(0,C$X$var(xs)))),
    BN = var('BN'), BC = var('BC'),
    BNil=in(1,BN), BCons=lam(x,lam(xs,in(1,BC$X$var(xs)))),
    TM_id = lam(x,X),
    TM_S = lam(x,lam(y,lam(w,(X$W)$(Y$W)))),
    TM_bad = lam(x,X$X),
    TM_e1 = let(id=TM_id,var(id)$var(id)),
    TM_e2 = lam(y,let(x=lam(w,Y),X$X)),
    TM_e3a = (C$Zero$Nil),
    TM_e3f = ['N'->Zero,'C'(x,xs)->X], %% $ (C$Zero$Nil),
    TM_e3 = ['N'->Zero,'C'(x,xs)->X] $ (C$Zero$Nil),
    TM_lendumb0 = mit(len,['N'->Zero]),
    TM_lendumb = mit(len,['N'->Zero,'C'(x,xs)->Zero]),
    TM_len = mit(len,['N'->Zero,'C'(x,xs)->Succ$(var(len)$var(xs))]),
    %% length of list example
    TM_e4 = let(length=TM_len, Cons$ (var(length)$(Cons$Zero$Nil))
                                   $ (Cons$ (var(length)$(Cons$Nil$Nil)) $ Nil) ),
    %% sum of bush example
    TM_e5 = mit(bsum, [I]-->((I->mu(N))->mu(N)),
               [ 'BN'       -> lam(f,Zero)
               , 'BC'(x,xs) -> lam(f,
                     var(plus) $ (var(f)$X)
                               $ (var(bsum) $ var(xs)
                                            $ lam(ys,var(bsum)$var(ys)$var(f)) )
                                  )
               ]),
    append(KC0,_,KC1), copy_term(C0,C1),
    type_and_print(KC1,C1,lam(x,lam(n,X$Succ$var(n))),_), nl, !,
    append(KC0,_,KC2), copy_term(C0,C2),
    type_and_print(KC2,C2,TM_e3,_), nl, !,
    append(KC0,_,KC3), copy_term(C0,C3),
    type_and_print(KC3,C3,TM_len,_), nl, !,
    append(KC0,_,KC4), copy_term(C0,C4),
    type_and_print(KC4,C4,TM_e4,_), nl, !,
    append(KC0,_,KC5), copy_term(C0,C5),
    type_and_print(KC5,C5,TM_e5,_), nl, !,
    true.

%% haven't really shown examples of type constructor polymorphsim or
%% kind polymorphism here but you get the idea what strucutural extensions
%% to HM are needed to support type constructor and kind polymoprhisms.

%% At this level, the examples are complex enough. So downloading it and
%% running it on your local SWI-Prolog may be more pleasant to experiment.
%% You may also want a parser and pretty printer for micronax language.

:- main.