syntax errors

packages/ProbLog/problog/print_learning.yap

@@ -242,7 +242,8 @@ format_learning(_,_,_) :-
 format_learning_rule(D,'$atom'(A)):-
 	format_learning(D,'~q',[A]).
 format_learning_rule(D,\+A):-
-	format_learning(D,'\+',[]),
+        functor( \+A, Name, _),
+	format_learning(D, Name , []),
 	format_learning_rule(D,A).
 
 format_learning_rule(D,'true'):-

packages/ProbLog/problog_examples/learn_graph_lbdd.pl

@@ -1,4 +1,4 @@
-%%% -*- Mode: Prolog; -*-
+%%% -*- mode: Prolog; -*-
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % ProbLog program describing a probabilistic graph
@@ -14,7 +14,7 @@
 % will run 20 iterations of learning with default settings
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
-%:- use_module(library(problog)).
+:- use_module(library(problog)).
 :- use_module(library(problog_learning_lbdd)).
 
 %%%%

packages/gecode/clpfd.yap

@@ -1,4 +1,4 @@
-:- module(clpfd, [
+:- module(gecode_clpfd, [
 		  op(100, yf, []),            
                   op(760, yfx, #<==>),
                   op(750, xfy, #==>),
@@ -89,11 +89,16 @@
 
 :- use_module(library(gecode)).
 :- use_module(library(maplist)).
-:- reexport(library(matrix), [(<==)/2, foreach/2, foreach/4, of/2]).
+:- reexport(library(matrix), [(<==)/2, op(600, xfx, '<=='),
+	    op(700, xfx, in),
+	    op(700, xfx, ins),
+            op(450, xfx, ..), % should bind more tightly than \/
+	    op(710, xfx, of),
+	    foreach/2, foreach/4, of/2]).
 
 % build array of constraints
 %
-matrix:array_extension(_.._ , clpfd:build).
+matrix:array_extension(_.._ , gecode_clpfd:build).
 
 build( I..J, _, Size, L) :-
 	length( L, Size ),
@@ -1035,7 +1040,7 @@ in_c(C, A, Space-Map) :-
 in_c_l(Env, V, IV) :-
 	in_c(V, IV, Env).
 
-user:term_expansion( ( H :- B), (H :- (clpfd:init_gecode(Space, Me), NB, clpfd:close_gecode(Space, Vs, Me)) ) ) :-
+user:term_expansion( ( H :- B), (H :- (gecode_clpfd:init_gecode(Space, Me), NB, gecode_clpfd:close_gecode(Space, Vs, Me)) ) ) :-
 	process_constraints(B, NB, Env),
 	term_variables(H, Vs),
 	nonvar( Env ), !,
@@ -1080,7 +1085,7 @@ add_el(_G0, _El, Cs-Vs, Cs-Vs).
 attr_unify_hook(_, _) :-
 	b_getval(gecode_done, true), !.
 attr_unify_hook(v(IV1,_,_), Y) :-
-        (   get_attr(Y, clpfd, v(IV2,_,_))
+        (   get_attr(Y, gecode_clpfd, v(IV2,_,_))
         ->
 	    nb_getval(gecode_space, Space-_),
 	    ( IV1 == IV2 -> true ;
@@ -1095,11 +1100,11 @@ attr_unify_hook(v(IV1,_,_), Y) :-
 %       Translate attributes from this module to residual goals
 
 attribute_goals(X) -->
-        { get_attr(X, clpfd, v(_,A,B)) },
+        { get_attr(X, gecode_clpfd, v(_,A,B)) },
         [X in A..B].
 
 m(X, Y, A, B, _Map) :-
-	put_attr(X, clpfd, v(Y, A, B)).
+	put_attr(X, gecode_clpfd, v(Y, A, B)).
 /*
 m(NV, OV, NA, NB, Vs) :-
 	var(Vs), !,
@@ -1112,7 +1117,7 @@ lm(A, B, Map, X, Y) :-
 	m(X, Y, A, B, Map).
 
 l(V, IV, _) :-
-	get_attr(V, clpfd, v(IV, _, _)).
+	get_attr(V, gecode_clpfd, v(IV, _, _)).
 /*
 l(_NV, _OV, Vs) :-
 	var(Vs), !,
@@ -1127,7 +1132,7 @@ ll(Map, X, Y) :-
 	l(X, Y, Map).
 
 l(V, IV, A, B, _) :-
-	get_attr(V, clpfd, v(IV, A, B)).
+	get_attr(V, gecode_clpfd, v(IV, A, B)).
 
 /*
 l(_NV, _OV, _, _, Vs) :-

packages/meld/meld.yap

@@ -21,9 +21,9 @@
 
 :- style_check(all).
 
-:- reexport(meld/meldi).
+%:- reexport(meld/meldi).
 
-:- reexport(meld/meldc).
+%:- reexport(meld/meldc).
 
 simulate(G) :-
 	 input_graph(G),

packages/meld/meldc.yap

@@ -19,6 +19,8 @@
 	 sum/3
 	]).
 
+:- use_module(meld).
+
 :- use_module(library(meld)).
 
 :- use_module(library(terms), [

packages/meld/meldi.yap

@@ -18,6 +18,8 @@
 	 run/1
 	]).
 
+:- use_module(meld).
+
 
 :- use_module(library(nb),
 	[

packages/meld/meldtd.yap

@@ -11,6 +11,8 @@
 	 minval/3
 	]).
 
+:- use_module(meld).
+
 :- dynamic extensional/3, translate/2.
 
 meld_top_down_aggregate(S0, horn, _) :-

packages/pyswip/examples/sendmoremoney/money.pl

@@ -2,7 +2,7 @@
 % SEND + MORE = MONEY
 % Adapted from: http://en.wikipedia.org/wiki/Constraint_programming
 
-:- use_module(library('bounds')).
+:- use_module(library('clpfd')).
 
 sendmore(Digits) :-
    Digits = [S,E,N,D,M,O,R,Y],     % Create variables