72 lines
1.7 KiB
Prolog
72 lines
1.7 KiB
Prolog
:- module(clpbn_display, [
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clpbn_bind_vals/3]).
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:- use_module(library(lists),
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[
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member/2
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]).
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:- use_module(dists, [get_dist_domain/2]).
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:- attribute posterior/4.
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%
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% what is actually output
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%
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attribute_goal(V, G) :-
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clpbn:suppress_attribute_display(false),
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get_atts(V, [posterior(Vs,Vals,Ps,AllDiffs)]),
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massage_out(Vs, Vals, Ps, G, AllDiffs, V).
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massage_out([], Ev, _, V=Ev, _, V) :- !.
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massage_out(Vs, [D], [P], p(CEqs)=P, AllDiffs, _) :- !,
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gen_eqs(Vs,D,Eqs),
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add_alldiffs(AllDiffs,Eqs,CEqs).
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massage_out(Vs, [D|Ds], [P|Ps], (p(CEqs)=P,G) , AllDiffs, V) :-
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gen_eqs(Vs,D,Eqs),
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add_alldiffs(AllDiffs,Eqs,CEqs),
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massage_out(Vs, Ds, Ps, G, AllDiffs, V).
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gen_eqs([V], [D], (V=D)) :- !.
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gen_eqs([V], D, (V=D)) :- !.
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gen_eqs([V|Vs], [D|Ds], ((V=D),Eqs)) :-
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gen_eqs(Vs,Ds,Eqs).
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add_alldiffs([],Eqs,Eqs).
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add_alldiffs(AllDiffs,Eqs,(Eqs/alldiff(AllDiffs))).
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clpbn_bind_vals([],[],_).
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clpbn_bind_vals([Vs|MoreVs],[Ps|MorePs],AllDiffs) :-
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clpbn_bind_vals2(Vs, Ps, AllDiffs),
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clpbn_bind_vals(MoreVs,MorePs,AllDiffs).
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clpbn_bind_vals2([],_,_) :- !.
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% simple case, we want a distribution on a single variable.
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%bind_vals([V],Ps) :- !,
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% clpbn:get_atts(V, [dist(Vals,_,_)]),
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% put_atts(V, posterior([V], Vals, Ps)).
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% complex case, we want a joint distribution, do it on a leader.
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% should split on cliques ?
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clpbn_bind_vals2(Vs,Ps,AllDiffs) :-
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get_all_combs(Vs, Vals),
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Vs = [V|_],
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put_atts(V, posterior(Vs, Vals, Ps, AllDiffs)).
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get_all_combs(Vs, Vals) :-
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get_all_doms(Vs,Ds),
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findall(L,ms(Ds,L),Vals).
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get_all_doms([], []).
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get_all_doms([V|Vs], [D|Ds]) :-
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clpbn:get_atts(V, [dist(Id,_)]),
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get_dist_domain(Id,D),
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get_all_doms(Vs, Ds).
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ms([], []).
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ms([H|L], [El|Els]) :-
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member(El,H),
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ms(L, Els).
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