bddss
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@ -17,17 +17,19 @@
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:- use_module('../problog_lbfgs').
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%:- set_problog_flag(init_method,(Query,K,Bdd,problog:problog_exact_lbdd(Query,Bdd))).
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%% :- if(true).
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:- use_module('kbgraph').
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%:- if(true).
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:- use_module('kbgraph').
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%%%%
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% background knowledge
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%%%%
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% definition of acyclic path using list of visited nodes
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/*:- else.
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%:- else.
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/*
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:- set_problog_flag(init_method,(Query,K,Bdd,problog:problog_exact_lbdd(Query,Bdd))).
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path(X,Y) :- path(X,Y,[X],_).
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@ -46,7 +48,7 @@ edge(X,Y) :- dir_edge(X,Y).
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absent(_,[]).
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absent(X,[Y|Z]):-X \= Y, absent(X,Z).
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:- endif.
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%:- endif.
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*/
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%%%%
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% probabilistic facts
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@ -238,7 +238,7 @@
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:- dynamic(learning_initialized/0).
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:- dynamic(current_iteration/1).
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:- dynamic(example_count/1).
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%:- dynamic(query_probability_intern/2).
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:- dynamic(query_probability_intern/2).
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%:- dynamic(query_gradient_intern/4).
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:- dynamic(last_mse/1).
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:- dynamic(query_is_similar/2).
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@ -372,7 +372,7 @@ reset_learning :-
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retractall(values_correct),
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retractall(current_iteration(_)),
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retractall(example_count(_)),
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% retractall(query_probability_intern(_,_)),%
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retractall(query_probability_intern(_,_)),
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% retractall(query_gradient_intern(_,_,_,_)),
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retractall(last_mse(_)),
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retractall(query_is_similar(_,_)),
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@ -610,7 +610,7 @@ init_one_query(QueryID,Query,_Type) :-
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%=
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%========================================================================
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query_probability(QueryID,Prob) :-
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Prob <== qp[QueryID].
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query_probability_intern(QueryID,Prob).
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%========================================================================
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%=
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@ -663,7 +663,6 @@ mse_trainingset :-
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update_values,
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findall(t(LogCurrentProb,SquaredError),
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(user:example(QueryID,Query,TrueQueryProb,_Type),
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% once(update_query(QueryID,'+',probability)),
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query_probability(QueryID,CurrentProb),
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format(Handle,'ex(~q,training,~q,~q,~10f,~10f).~n',[Iteration,QueryID,Query,TrueQueryProb,CurrentProb]),
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@ -781,11 +780,22 @@ inv_sigmoid(T,Slope,InvSig) :-
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%= probabilities of the examples have to be recalculated
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%========================================================================
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:- dynamic index/2.
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save_old_probabilities.
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mkindex :-
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retractall(index(_,_)),
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findall(FactID,tunable_fact(FactID,_GroundTruth),L),
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foldl(mkindex, L, 0, Count),
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assert(count_tunables(Count)).
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mkindex(Key,I,I1) :-
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I1 is I+1,
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assert(index(Key,I),I1).
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% vsc: avoid silly search
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gradient_descent :-
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mkindex,
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problog_flag(sigmoid_slope,Slope),
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% current_iteration(Iteration),
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findall(FactID,tunable_fact(FactID,_GroundTruth),L),
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@ -798,7 +808,8 @@ gradient_descent :-
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lbfgs_finalize(Solver).
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set_fact(FactID, Slope, P ) :-
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X <== P[FactID],
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index(FactID, I),
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X <== P[I],
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sigmoid(X, Slope, Pr),
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(Pr > 0.99
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->
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@ -824,7 +835,15 @@ set_tunable(I,Slope,P) :-
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user:evaluate(LLH_Training_Queries, X,Grad,N,_,_) :-
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%Handle = user_error,
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go( X,Grad, LLs),
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sum_list( LLs, LLH_Training_Queries).
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sum_list( LLs, LLH_Training_Queries),
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writeln(LLH_Training_Queries).
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update_tunables(X) :-
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tunable_fact(FactID,GroundTruth),
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set_fact_probability(ID,Prob),
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fail.
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update_tunables.
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go( X,Grad, LLs) :-
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problog_flag(sigmoid_slope,Slope),
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@ -832,6 +851,9 @@ go( X,Grad, LLs) :-
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LL,
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compute_gradient(Grad, X, Slope,LL),
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LLs
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),
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forall(tunable_fact(FactID,_GroundTruth),
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set_fact( FactID, Slope, X)
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).
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@ -840,6 +862,8 @@ compute_gradient( Grad, X, Slope, LL) :-
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recorded(QueryID,BDD,_),
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query_probability( BDD, Slope, X, BDDProb),
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LL is (BDDProb-QueryProb)*(BDDProb-QueryProb),
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retractall( query_probability_intern( QueryID, _) ),
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assert( query_probability_intern( QueryID,BDDProb )),
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forall(
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query_gradients(BDD,Slope,X,I,GradValue),
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gradient_pair(BDDProb, QueryProb, Grad, GradValue, Slope, X, I)
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@ -848,7 +872,8 @@ compute_gradient( Grad, X, Slope, LL) :-
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gradient_pair(BDDProb, QueryProb, Grad, GradValue, Slope, X, I) :-
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G0 <== Grad[I],
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log2prob(X,Slope,I,Prob),
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GN is G0-GradValue*2*Prob*(1-Prob)*(QueryProb-BDDProb),
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%writeln(Prob=BDDProb),
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GN is G0+GradValue*BDDProb*(1-BDDProb)*2*(QueryProb-BDDProb),
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Grad[I] <== GN.
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wrap( X, Grad, GradCount) :-
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@ -865,16 +890,13 @@ wrap( _X, _Grad, _GradCount).
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% stop calculate gradient
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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user:progress(FX,_X,_G, _X_Norm,_G_Norm,_Step,_N,_Iteration,_Ls,-1) :-
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user:progress(FX,_X,_G, _X_Norm,_G_Norm,_Step,_N,CurrentIteration,_Ls,-1) :-
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FX < 0, !,
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format('stopped on bad FX=~4f~n',[FX]).
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user:progress(FX,X,_G,X_Norm,G_Norm,Step,_N,_Iteration,Ls,0) :-
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user:progress(FX,X,_G,X_Norm,G_Norm,Step,_N, CurrentIteration,Ls,0) :-
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assertz(current_iteration(Iteration)),
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problog_flag(sigmoid_slope,Slope),
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forall(tunable_fact(FactID,_GroundTruth), set_tunable(FactID,Slope,X)),
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current_iteration(CurrentIteration),
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retractall(current_iteration(_)),
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NextIteration is CurrentIteration+1,
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assertz(current_iteration(NextIteration)),
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logger_set_variable(mse_trainingset, FX),
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save_model,
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X0 <== X[0], sigmoid(X0,Slope,P0),
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@ -462,18 +462,7 @@ do_learning_intern(Iterations,Epsilon) :-
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logger_stop_timer(duration),
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logger_write_data,
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RemainingIterations is Iterations-1,
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(
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MSE_Diff>Epsilon
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->
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do_learning_intern(RemainingIterations,Epsilon);
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true
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).
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logger_write_data.
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%========================================================================
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@ -734,7 +734,9 @@ db_files(Fs) :-
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% format( 'I=~w~n', [Verbosity=UserFile] ),
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% export to process
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b_setval('$lf_status', TOpts),
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'$reset_if'(OldIfLevel),
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'__NB_getval__'('$if_level', OldIfLevel, OldIfLevel=0),
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nb_setval('$if_level',0),
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writeln(ln(OldIfLevel)),
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% take care with [a:f], a is the ContextModule
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'$current_module'(SourceModule, ContextModule),
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'$lf_opt'(consult, TOpts, Reconsult0),
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@ -768,7 +770,6 @@ db_files(Fs) :-
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true
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),
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'$loop'(Stream,Reconsult),
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'$lf_opt'(imports, TOpts, Imports),
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'$import_to_current_module'(File, ContextModule, Imports, _, TOpts),
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'$current_module'(Mod, SourceModule),
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@ -785,14 +786,14 @@ db_files(Fs) :-
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;
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true
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),
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writeln(out(OldIfLevel)),
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nb_setval('$if_level',OldIfLevel),
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set_stream( OldStream, alias(loop_stream) ),
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set_prolog_flag(generate_debug_info, GenerateDebug),
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'$comp_mode'(_CompMode, OldCompMode),
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working_directory(_,OldD),
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% surely, we were in run mode or we would not have included the file!
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nb_setval('$if_skip_mode',run),
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% back to include mode!
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nb_setval('$if_level',OldIfLevel),
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'$lf_opt'('$use_module', TOpts, UseModule),
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'$bind_module'(Mod, UseModule),
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'$reexport'( TOpts, ParentF, Reexport, Imports, File ),
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@ -812,17 +813,6 @@ db_files(Fs) :-
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'$qsave_file_'( File, UserF, F ).
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'$q_do_save_file'(_File, _, _TOpts ).
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'$reset_if'(OldIfLevel) :-
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'__NB_getval__'('$if_level', OldIfLevel, fail), !,
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nb_setval('$if_level',0).
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'$reset_if'(0) :-
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nb_setval('$if_level',0).
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'$get_if'(Level0) :-
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'__NB_getval__'('$if_level', Level, fail), !,
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Level0 = Level.
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'$get_if'(0).
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'$bind_module'(_, load_files).
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'$bind_module'(Mod, use_module(Mod)).
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@ -1561,8 +1551,9 @@ If an error occurs, the error is printed and processing proceeds as if
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%
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'$if'(_,top) :- !, fail.
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'$if'(_Goal,_) :-
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'$get_if'(Level0),
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'__NB_getval__'('$if_level',Level0,Level=0),
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Level is Level0 + 1,
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writeln(Level),
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nb_setval('$if_level',Level),
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( '__NB_getval__'('$endif', OldEndif, fail) -> true ; OldEndif=top),
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( '__NB_getval__'('$if_skip_mode', Mode, fail) -> true ; Mode = run ),
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@ -1574,12 +1565,12 @@ If an error occurs, the error is printed and processing proceeds as if
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nb_setval('$endif',endif(Level, OldEndif, skip)).
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% we are in non skip mode, check....
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'$if'(Goal,_) :-
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('$if_call'(Goal)
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(
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'$if_call'(Goal)
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->
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% we will execute this branch, and later enter skip
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'__NB_getval__'('$endif', elif(Level,OldEndif,Mode), fail),
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nb_setval('$endif',endif(Level,OldEndif,Mode))
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;
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% we are now in skip, but can start an elif.
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nb_setval('$if_skip_mode',skip)
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@ -1592,7 +1583,8 @@ Start `else' branch.
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*/
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'$else'(top) :- !, fail.
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'$else'(_) :-
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'$get_if'(0), !,
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'__NB_getval__'('$if_level',0,true),
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!,
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'$do_error'(context_error(no_if),(:- else)).
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% we have done an if, so just skip
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'$else'(_) :-
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@ -1600,7 +1592,7 @@ Start `else' branch.
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nb_setval('$if_skip_mode',skip).
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% we can try the elif
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'$else'(_) :-
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'$get_if'(Level),
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'__NB_getval__'('$if_level',Level,Level=0),
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nb_getval('$endif',elif(Level,OldEndif,Mode)),
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nb_setval('$endif',endif(Level,OldEndif,Mode)),
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nb_setval('$if_skip_mode',run).
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@ -1614,7 +1606,8 @@ no test succeeds the else branch is processed.
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*/
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'$elif'(_,top) :- !, fail.
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'$elif'(Goal,_) :-
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'$get_if'(0),
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'__NB_getval__'('$if_level',0,true),
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!,
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'$do_error'(context_error(no_if),(:- elif(Goal))).
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% we have done an if, so just skip
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'$elif'(_,_) :-
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@ -1622,7 +1615,7 @@ no test succeeds the else branch is processed.
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nb_setval('$if_skip_mode',skip).
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% we can try the elif
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'$elif'(Goal,_) :-
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'$get_if'(Level),
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'__NB_getval__'('$if_level',Level,fail),
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'__NB_getval__'('$endif',elif(Level,OldEndif,Mode),fail),
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('$if_call'(Goal)
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->
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@ -1642,11 +1635,12 @@ End of conditional compilation.
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'$endif'(top) :- !, fail.
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'$endif'(_) :-
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% unmmatched endif.
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'$get_if'(0),
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'__NB_getval__'('$if_level',0,true),
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!,
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'$do_error'(context_error(no_if),(:- endif)).
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'$endif'(_) :-
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% back to where you belong.
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'$get_if'(Level),
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'__NB_getval__'('$if_level',Level,Level=0),
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nb_getval('$endif',Endif),
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Level0 is Level-1,
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nb_setval('$if_level',Level0),
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@ -82,7 +82,7 @@ live :-
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% stop at spy-points if debugging is on.
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nb_setval('$debug_run',off),
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nb_setval('$debug_jump',off),
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nb_setval('$debug_status', state(zip, 0, stop), fail),
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nb_setval('$debug_status', state(zip, 0, stop)),
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'$command'(Command,Varnames,Pos,top),
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current_prolog_flag(break_level, BreakLevel),
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(
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