lemur
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packages/cplint/lemur/dv_lemur.pl
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167
packages/cplint/lemur/dv_lemur.pl
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/*:- use_module(library(terms)).
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*/
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:- use_module(library(lists)).
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/*define the depth of a variable appearing in a clause A B ^ : : : ^ Br as follows.
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Variables appearing in the head of a clause have depth zero.
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Otherwise, let Bi be the first literal containing the variable V, and let d be the maximal depth of the input variables of Bi
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then the depth of V is d + 1. The depth of a clause is the maximal depth of any variable in the clause.
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In questo modo possiamo lasciare il numero massimo di variabili a 4 (e cosi' impara la regola con taughtby) e riduciamo la profondita' massima delle variabili a 2 (in questo modo dovremmo imparare la regola con i due publication nel body e anche quella con taughtby).
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Bisogna modificare revise.pl per controllare che gli atomi che si aggiungono nel body non abbiano variabili oltre la profondita' massima.
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testa professor(_710033).
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body taughtby(_710343,_710033,_710355).
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Vars1 V1=_710033, V2=_710343, V3=_710355
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testa professor(_710033).
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body yearsinprogram(_710149,_710196).
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Vars1 V1=_710033, V2=_710149, V3=_710196.
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*/
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:- op(500,fx,#).
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:- op(500,fx,'-#').
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%:-['graphics_train.l'].
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%setting(maxdepth_var,1).
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%funzionamento
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%?- t(DV).
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%DV = [[_A,1],[_B,0],[_C,0]] - lista di coppie [variabile,profondità massima]
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t(DV):-% dv([advisedby(A,B)],[taughtby(C,B,D),ta(C,A,D)],DV).
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dv([advisedby(A,B)],[publication(C,B),publication(C,A),professor(B),student(A)],DV).
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% dv([professor(A)],[taughtby(B,A,C),taughtby(D,A,E),taughtby(D,A,E)],DV). %max_var 5
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dv(H,B,DV1):- %-DV1
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term_variables(H,V),
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head_depth(V,DV0),
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findall((MD-DV),var_depth(B,DV0,DV,0,MD),LDs), % cerchiamo tutte le possibili liste di coppie var-prof che si possono generare in base alle scelte del modeb e poi prendiamo la lista che porta al massimo della profondita' massima
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get_max(LDs,-1,-,DV1).
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input_variables_b(LitM,InputVars):-
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LitM=..[P|Args],
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length(Args,LA),
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length(Args1,LA),
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Lit1=..[P|Args1],
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modeb(_,Lit1),
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input_vars(LitM,Lit1,InputVars).
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/* decommentare per testare il file da solo */
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/* input_vars(Lit,Lit1,InputVars):-
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Lit =.. [_|Vars],
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Lit1 =.. [_|Types],
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input_vars1(Vars,Types,InputVars).
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input_vars1([],_,[]).
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input_vars1([V|RV],[+_T|RT],[V|RV1]):-
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!,
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input_vars1(RV,RT,RV1).
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input_vars1([_V|RV],[_|RT],RV1):-
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input_vars1(RV,RT,RV1).
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*/
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depth_var_head(List,VarsD):- % exit:depth_var_head([professor(_G131537)],[[_G131537,0]]) ?
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term_variables(List,Vars0), %List = lista atomi testa, Vars0 = lista variabili estratte dalla testa (term_variables _710033,_710237,_711016,_710969).
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head_depth(Vars0,VarsD). %aggiunge la profondità 0 ad ogni variabile, creando sottoliste
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head_depth([],[]).
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head_depth([V|R],[[V,0]|R1]):-
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head_depth(R,R1).
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/*
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depth_var_body(VarsH,BL,VarsD):-
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term_variables(List,Vars0), %estrae la lista Vars0 di variabili degli atomi del body in List
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exclude_headvar(VarsH,Vars0,VarsB), %VarsB: lista variabili v nel body per cui calcolare d(v) - diverse da quelle nella testa per cui vale 0 (Z,W,R)
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set_Uv(VarsB,BL,Sets), %Sets: a ogni var v in VarsB associa il set U_v delle var!=v: lista di liste [v,(set)]
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max(Sets,VarsH,VarsD). %VarsD: a ogni var v associa la profondità, usando le variabili nella testa VarsH che hanno d=0 (crea tuple (v,d))
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*/
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var_depth([],PrevDs1,PrevDs1,MD,MD):-!.
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var_depth([L|R],PrevDs,PrevDs1,_MD,MD):- %L=body atom
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% MD e' la profondita' massima a cui si e' arrivati
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input_variables_b(L,InputVars), %variabili di input nell'atomo L
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% write(L),format("~n variabili di input:",[]),write_list(InputVars), %L=letterale del body=ta(_710237,_710858,_711331) InputVars = variabili di input nel letterale=_710237,_710858.
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term_variables(L, BodyAtomVars), %BodyAtomVars: estrae dal letterale Lit del body la lista di variabili
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output_vars(BodyAtomVars,InputVars,OutputVars), %OutputVars = BodyAtomVars-InputVars
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depth_InputVars(InputVars,PrevDs,0,MaxD), %MaxD: massima profondita' delle variabili di input presenti nel letterale
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D is MaxD+1,
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compute_depth(OutputVars,D,PrevDs,PrevDs0), %Ds: lista di liste [v,d] per tutte le variabili (assegna D a tutte le variabili)
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% term_variables(PrevLits,PrevVars), %PrevVars: lista variabili nella testa
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% write(BodyD),
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% PrevDs1 = [BodyD|PrevDs].
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var_depth(R,PrevDs0,PrevDs1,D,MD).
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get_max([],_,Ds,Ds).
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get_max([(MD-DsH)|T],MD0,_Ds0,Ds):-
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MD>MD0,!,
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get_max(T,MD,DsH,Ds).
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get_max([_H|T],MD,Ds0,Ds):-
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get_max(T,MD,Ds0,Ds).
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output_vars(OutVars,[],OutVars):-!.
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output_vars(BodyAtomVars,[I|InputVars],OutVars):- %esclude le variabili di input dalla lista di var del letterale del body
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delete(BodyAtomVars, I, Residue), %cancella I da BodyAtomVars
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output_vars(Residue,InputVars, OutVars).
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% restituisce in D la profondita' massima delle variabili presenti nella lista passata come primo argomento
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depth_InputVars([],_,D,D).
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depth_InputVars([I|Input],PrevDs,D0,D):-
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member_l(PrevDs,I,MD),
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(MD>D0->
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D1=MD
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;
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D1=D0
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),
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depth_InputVars(Input,PrevDs,D1,D).
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member_l([[L,D]|P],I,D):- %resituisce in output la profondita' della variabile I
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I==L,!.
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member_l([_|P],I,D):-
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member_l(P,I,D).
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compute_depth([],_,PD,PD):-!. %LVarD
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compute_depth([O|Output],D,PD,RestO):- %LVarD
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member_l(PD,O,_),!, % variabile gia' presente
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compute_depth(Output,D,PD,RestO).
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compute_depth([O|Output],D,PD,[[O,D]|RestO]):- %LVarD
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compute_depth(Output,D,PD,RestO).
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%Otherwise, let Bi be the first literal containing the variable V, and let d be the maximal depth of the input variables of Bi: then the depth of V is d+1. The depth of a clause is the maximal depth of any variable in the clause.
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%
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%[[_A,1],[_B,0],[_C,0]]
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exceed_depth([],_):-!.
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exceed_depth([H|T],MD):-
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nth1(2,H,Dep), %estrae la profondità
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%setting(maxdepth_var,MD),
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% (Dep>=MD ->
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% format("*****************depth exceeded ~n")
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% ;
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% true
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% ),
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Dep<MD,
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exceed_depth(T,MD).
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packages/cplint/lemur/inference_lemur.pl
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1106
packages/cplint/lemur/inference_lemur.pl
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File diff suppressed because it is too large
Load Diff
1089
packages/cplint/lemur/lemur.pl
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1089
packages/cplint/lemur/lemur.pl
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File diff suppressed because it is too large
Load Diff
636
packages/cplint/lemur/revise_lemur.pl
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636
packages/cplint/lemur/revise_lemur.pl
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/*
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EMBLEM and SLIPCASE
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Copyright (c) 2011, Fabrizio Riguzzi, Nicola di Mauro and Elena Bellodi
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*/
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:- use_module(library(terms)).
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:- use_module(library(lists)).
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:- use_module(library(random)).
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:- set_prolog_flag(discontiguous_warnings,on).
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:- set_prolog_flag(single_var_warnings,on).
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:- [dv_lemur].
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theory_revisions_op(Theory,TheoryRevs):-
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setof(RevOp, Theory^revise_theory(Theory,RevOp), TheoryRevs),!.
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theory_revisions_op(_Theory,[]).
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filter_add_rule([],[]).
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filter_add_rule([add(Rule)|R],R1):-
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!,
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filter_add_rule(R,R1).
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filter_add_rule([A|R],[A|R1]):-
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!,
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filter_add_rule(R,R1).
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theory_revisions_r(Theory,TheoryRevs):-
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theory_revisions_op(Theory,TheoryRevs1),
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% filter_add_rule(TheoryRevs11,TheoryRevs1),
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( TheoryRevs1 == [] ->
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TheoryRevs = []
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;
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length(TheoryRevs1,L),
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random(0,L,K),
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nth0(K, TheoryRevs1,Revision),
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apply_operators([Revision],Theory,TheoryRevs)
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).
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theory_revisions(Theory,TheoryRevs):-
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theory_revisions_op(Theory,TheoryRevs1),
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apply_operators(TheoryRevs1,Theory,TheoryRevs).
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apply_operators([],_Theory,[]).
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apply_operators([add(Rule)|RestOps],Theory,[NewTheory|RestTheory]) :-
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append(Theory, [Rule], NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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apply_operators([add_body(Rule1,Rule2,_A)|RestOps],Theory,[NewTheory|RestTheory]) :-
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delete_matching(Theory,Rule1,Theory1),
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append(Theory1, [Rule2], NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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apply_operators([remove_body(Rule1,Rule2,_A)|RestOps],Theory,[NewTheory|RestTheory]) :-
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delete_matching(Theory,Rule1,Theory1),
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append(Theory1, [Rule2], NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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apply_operators([add_head(Rule1,Rule2,_A)|RestOps],Theory,[NewTheory|RestTheory]) :-
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delete_matching(Theory,Rule1,Theory1),
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append(Theory1, [Rule2], NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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apply_operators([remove_head(Rule1,Rule2,_A)|RestOps],Theory,[NewTheory|RestTheory]) :-
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delete_matching(Theory,Rule1,Theory1),
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append(Theory1, [Rule2], NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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apply_operators([remove(Rule)|RestOps],Theory,[NewTheory|RestTheory]) :-
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delete_matching(Theory,Rule,NewTheory),
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% nl,write(NewTheory),
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apply_operators(RestOps,Theory,RestTheory).
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revise_theory(Theory,Ref):-
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specialize_theory(Theory,Ref).
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revise_theory(Theory,Ref):-
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generalize_theory(Theory,Ref).
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/*
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generalize_theory(Theory,Ref):-
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Theory \== [],
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choose_rule(Theory,Rule),
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generalize_rule(Rule,Ref).
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*/
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generalize_theory(Theory,Ref):-
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length(Theory,LT),
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setting(max_rules,MR),
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LT<MR,
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add_rule(Ref).
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generalize_rule(Rule,Ref):-
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generalize_head(Rule,Ref).
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generalize_rule(Rule,Ref):-
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generalize_body(Rule,Ref).
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add_rule(add(rule(ID,Head,[],Lits))):-
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setting(specialization,bottom),!,
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database(DB),
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sample(1,DB,[M]),
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get_head_atoms(O),
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member(A,O),
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functor(A,F,N),
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functor(F1,F,N),
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F1=..[F|Arg],
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Pred1=..[F,M|Arg],
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A=..[F|ArgM],
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keep_const(ArgM,Arg),
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findall((A,Pred1),call(Pred1),L),
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sample(1,L,LH),
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generate_body(LH,[rule(ID,Head,[],Lits)]).
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add_rule(add(SpecRule)):-
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findall(HL , modeh(_,HL), HLS),
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length(HLS,L),
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L1 is L+1,
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P is 1/L1,
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generate_head(HLS,P,Head),
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get_next_rule_number(ID),
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Rule0 = rule(ID,Head,[],true),
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specialize_rule(Rule0,SpecRule,Lit).
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generate_head([H|_T],_P,[H1:0.5,'':0.5]):-
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H=..[Pred|Args],
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length(Args,LA),
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length(Args1,LA),
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H1=..[Pred|Args1],
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check_for_constants(Args,Args1).
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check_for_constants([],[]).
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check_for_constants([+X|R],[V|R1]):-
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!,
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check_for_constants(R,R1).
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check_for_constants([-X|R],[V|R1]):-
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!,
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check_for_constants(R,R1).
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check_for_constants([X|R],[X|R1]):-
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check_for_constants(R,R1).
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generate_head([_H|T],P,Head):-
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generate_head(T,P,Head).
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generalize_head(Rule,Ref):-
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Rule = rule(ID,LH,BL,L),
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generalize_head1(LH,LH1,NewAt),
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Ref = add_head(Rule,rule(ID,LH1,BL,L),NewAt).
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generalize_head1(LH,LH1,NH):-
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findall(HL , modeh(_,HL), HLS),
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generalize_head2(HLS,LH,LH1,NH).
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generalize_head2([X|_R],LH,LH1,PH) :-
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X =.. [P|A],
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length(A,LA),
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length(A1,LA),
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PH =.. [P|A1],
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\+ member(PH:_, LH),
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(setting(new_head_atoms_zero_prob,true)->
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delete_matching(LH,'':PNull,LH0),
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append(LH0,[PH:0.0,'':PNull],LH1)
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;
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length(LH,NH),
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add_to_head(LH,NH,PH,LH1)
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).
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generalize_head2([_X|R],LH,LH1) :-
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generalize_head2(R,LH,LH1).
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add_to_head(['':PN],NH,At,[At:PA,'':PN1]):-!,
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PN1 is PN*NH/(NH+1),
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PA is 1/(NH+1).
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add_to_head([H:PH|T],NH,At,[H:PH1|T1]):-
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PH1 is PH*NH/(NH+1),
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add_to_head(T,NH,At,T1).
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get_module_var(LH,Module):-
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member(H:_,LH),!,
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H=..[_F,Module|_].
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generalize_body(Rule,Ref):-
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Rule = rule(ID,LH,BL),
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delete_one(BL,BL1,A),
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remove_prob(LH,LH1),
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delete(LH1,'',LH2),
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linked_clause(BL1,LH2),
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Ref = remove_body(Rule,rule(ID,LH,BL1),A).
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specialize_theory(Theory,Ref):-
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Theory \== [],
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choose_rule(Theory,Rule),
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specialize_rule(Rule,SpecRule,Lit),
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Ref = add_body(Rule,SpecRule,Lit),
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SpecRule = rule(_,_,B,_).
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/*,
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\+ (member(b_rel11(X1,Y1),B), member(b_rel11(Z1,Y1),B), Y1 \== Z1),
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\+ (member(b_rel12(X2,Y2),B), member(b_rel12(Z2,Y2),B), Y2 \== Z2),
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\+ (member(b_rel13(X3,Y3),B), member(b_rel13(Z3,Y3),B), Y3 \== Z3).*/
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specialize_rule(Rule,SpecRule,Lit):-
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setting(specialization,bottom),
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Rule = rule(ID,LH,BL,Lits),
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delete_one(Lits,RLits,Lit),
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\+ lookahead_cons(Lit,_),
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append(BL,[Lit],BL1),
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remove_prob(LH,LH1),
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% check_ref(LH1,BL1),
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delete(LH1,'',LH2),
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append(LH2,BL1,ALL2),
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extract_fancy_vars(ALL2,Vars1),
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length(Vars1,NV),
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setting(max_var,MV),
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NV=<MV,
|
||||
linked_clause(BL1,LH2),
|
||||
\+ banned_clause(LH2,BL1),
|
||||
SpecRule=rule(ID,LH,BL1,RLits).
|
||||
|
||||
specialize_rule(Rule,SpecRule,Lit):-
|
||||
setting(specialization,bottom),
|
||||
Rule = rule(ID,LH,BL,Lits),
|
||||
delete_one(Lits,RLits,Lit),
|
||||
append(BL,[Lit],BL0),
|
||||
(lookahead(Lit,LLit1);lookahead_cons(Lit,LLit1)), % lookahead_cons serve a dire che rating(_A,_B,_C) e' aggiunto solo insieme ai letterali indicati nella lista, mai da solo.
|
||||
copy_term(LLit1,LLit2),
|
||||
specialize_rule_la_bot(LLit2,RLits,RLits1,BL0,BL1),
|
||||
remove_prob(LH,LH1),
|
||||
% check_ref(LH1,BL1),
|
||||
delete(LH1,'',LH2),
|
||||
append(LH2,BL1,ALL2),
|
||||
extract_fancy_vars(ALL2,Vars1),
|
||||
length(Vars1,NV),
|
||||
setting(max_var,MV),
|
||||
NV=<MV,
|
||||
linked_clause(BL1,LH2),
|
||||
\+ banned_clause(LH2,BL1),
|
||||
SpecRule=rule(ID,LH,BL1,RLits1).
|
||||
|
||||
specialize_rule(Rule,SpecRule,Lit):-
|
||||
setting(specialization,mode),!,
|
||||
% findall(BL , modeb(_,BL), BLS),
|
||||
mcts_modeb(BSL0),
|
||||
Rule = rule(ID,LH,BL,_),
|
||||
( BL \= [] ->
|
||||
%last(BL,LastLit),
|
||||
%LastLit =.. [Pred|_],
|
||||
%filter_modeb(BSL0,LastLit,BSL)
|
||||
BSL = BSL0
|
||||
;
|
||||
BSL = BSL0
|
||||
),
|
||||
specialize_rule(BSL,Rule,SpecRule,Lit).
|
||||
|
||||
filter_modeb([],_Pred,[]).
|
||||
filter_modeb([Modeb|RestModeb],Pred,[Modeb|RestBSL]):-
|
||||
Modeb =.. [PredMode|_],
|
||||
Modeb @>= Pred,
|
||||
!,
|
||||
filter_modeb(RestModeb,Pred,RestBSL).
|
||||
filter_modeb([_|RestModeb],Pred,RestBSL):-
|
||||
filter_modeb(RestModeb,Pred,RestBSL).
|
||||
|
||||
|
||||
skolemize(Theory,Theory1):-
|
||||
copy_term(Theory,Theory1),
|
||||
term_variables(Theory1,Vars),
|
||||
skolemize1(Vars,1).
|
||||
|
||||
skolemize1([],_).
|
||||
skolemize1([Var|R],K):-
|
||||
atomic_list_concat([s,K],Skolem),
|
||||
Var = Skolem,
|
||||
K1 is K + 1,
|
||||
skolemize1(R,K1).
|
||||
|
||||
|
||||
banned_clause(H,B):-
|
||||
skolemize([H,B],[H1,B1]),
|
||||
banned(H2,B2),
|
||||
mysublist(H2,H1),
|
||||
mysublist(B2,B1).
|
||||
|
||||
|
||||
mysublist([],_).
|
||||
|
||||
mysublist([A\==B|T],L):-
|
||||
!,
|
||||
A\==B,
|
||||
mysublist(T,L).
|
||||
mysublist([H|T],L):-
|
||||
nth(_,L,H,R),
|
||||
mysublist(T,R).
|
||||
|
||||
|
||||
check_ref(H,B):-
|
||||
copy_term((H,B),(H1,B1)),
|
||||
numbervars((H1,B1),0,_N),
|
||||
(ref(H1,B1)->
|
||||
fail
|
||||
;
|
||||
assert(ref(H1,B1))
|
||||
).
|
||||
|
||||
|
||||
specialize_rule([Lit|_RLit],Rule,SpecRul,SLit):-
|
||||
Rule = rule(ID,LH,BL,true),
|
||||
remove_prob(LH,LH1),
|
||||
append(LH1,BL,ALL),
|
||||
specialize_rule1(Lit,ALL,SLit),
|
||||
append(BL,[SLit],BL1),
|
||||
(lookahead(SLit,LLit1);lookahead_cons(SLit,LLit1)),
|
||||
specialize_rule_la(LLit1,LH1,BL1,BL2),
|
||||
append(LH1,BL2,ALL2),
|
||||
extract_fancy_vars(ALL2,Vars1),
|
||||
length(Vars1,NV),
|
||||
setting(max_var,MV),
|
||||
NV=<MV,
|
||||
\+ banned_clause(LH1,BL2),
|
||||
SpecRul = rule(ID,LH,BL2,true).
|
||||
|
||||
specialize_rule([Lit|_RLit],Rule,SpecRul,SLit):-
|
||||
Rule = rule(ID,LH,BL,true),
|
||||
remove_prob(LH,LH1),
|
||||
append(LH1,BL,ALL),
|
||||
specialize_rule1(Lit,ALL,SLit),
|
||||
|
||||
% \+ member(SLit,LH1), %%%%
|
||||
|
||||
\+ lookahead_cons(SLit,_),
|
||||
|
||||
|
||||
append(BL,[SLit],BL1),
|
||||
|
||||
append(LH1,BL1,ALL1),
|
||||
|
||||
% dv(LH1,BL1,DList), %var,depth list DList in output
|
||||
|
||||
extract_fancy_vars(ALL1,Vars1),
|
||||
length(Vars1,NV),
|
||||
setting(max_var,MV),
|
||||
NV=<MV,
|
||||
setting(maxdepth_var,MD),
|
||||
% exceed_depth(DList,MD), %fallisce se una sottolista eccede MD
|
||||
\+ banned_clause(LH1,BL1),
|
||||
SpecRul = rule(ID,LH,BL1,true).
|
||||
|
||||
specialize_rule([_|RLit],Rule,SpecRul,Lit):-
|
||||
specialize_rule(RLit,Rule,SpecRul,Lit).
|
||||
|
||||
|
||||
specialize_rule_la([],_LH1,BL1,BL1).
|
||||
|
||||
specialize_rule_la([Lit1|T],LH1,BL1,BL3):-
|
||||
copy_term(Lit1,Lit2),
|
||||
modeb(_,Lit2),
|
||||
append(LH1,BL1,ALL1),
|
||||
specialize_rule1(Lit2,ALL1,SLit1),
|
||||
append(BL1,[SLit1],BL2),
|
||||
specialize_rule_la(T,LH1,BL2,BL3).
|
||||
|
||||
|
||||
specialize_rule_la_bot([],Bot,Bot,BL,BL).
|
||||
|
||||
specialize_rule_la_bot([Lit|T],Bot0,Bot,BL1,BL3):-
|
||||
delete_one(Bot0,Bot1,Lit),
|
||||
append(BL1,[Lit],BL2),
|
||||
specialize_rule_la_bot(T,Bot1,Bot,BL2,BL3).
|
||||
|
||||
|
||||
remove_prob(['':_P],[]):-!.
|
||||
|
||||
remove_prob([X:_|R],[X|R1]):-
|
||||
remove_prob(R,R1).
|
||||
|
||||
|
||||
specialize_rule1(Lit,Lits,SpecLit):-
|
||||
Lit =.. [Pred|Args],
|
||||
exctract_type_vars(Lits,TypeVars0),
|
||||
remove_duplicates(TypeVars0,TypeVars),
|
||||
take_var_args(Args,TypeVars,Args1),
|
||||
SpecLit =.. [Pred|Args1],
|
||||
\+ member_eq(SpecLit,Lits).
|
||||
|
||||
|
||||
convert_to_input_vars([],[]):-!.
|
||||
|
||||
convert_to_input_vars([+T|RT],[+T|RT1]):-
|
||||
!,
|
||||
convert_to_input_vars(RT,RT1).
|
||||
|
||||
convert_to_input_vars([-T|RT],[+T|RT1]):-
|
||||
convert_to_input_vars(RT,RT1).
|
||||
|
||||
|
||||
member_eq(X,[Y|_List]) :-
|
||||
X == Y.
|
||||
|
||||
member_eq(X,[_|List]) :-
|
||||
member_eq(X,List).
|
||||
|
||||
|
||||
remove_eq(X,[Y|R],R):-
|
||||
X == Y,
|
||||
!.
|
||||
|
||||
remove_eq(X,[_|R],R1):-
|
||||
remove_eq(X,R,R1).
|
||||
|
||||
|
||||
linked_clause(X):-
|
||||
linked_clause(X,[]).
|
||||
|
||||
linked_clause([],_).
|
||||
|
||||
linked_clause([L|R],PrevLits):-
|
||||
term_variables(PrevLits,PrevVars),
|
||||
input_variables(L,InputVars),
|
||||
linked(InputVars,PrevVars),!,
|
||||
linked_clause(R,[L|PrevLits]).
|
||||
|
||||
|
||||
linked([],_).
|
||||
|
||||
linked([X|R],L) :-
|
||||
member_eq(X,L),
|
||||
!,
|
||||
linked(R,L).
|
||||
|
||||
|
||||
input_variables(\+ LitM,InputVars):-
|
||||
!,
|
||||
LitM=..[P|Args],
|
||||
length(Args,LA),
|
||||
length(Args1,LA),
|
||||
Lit1=..[P|Args1],
|
||||
copy_term(LitM,Lit0),
|
||||
modeb(_,Lit1),
|
||||
Lit1 =.. [P|Args1],
|
||||
convert_to_input_vars(Args1,Args2),
|
||||
Lit2 =.. [P|Args2],
|
||||
input_vars(Lit0,Lit2,InputVars).
|
||||
|
||||
input_variables(LitM,InputVars):-
|
||||
LitM=..[P|Args],
|
||||
length(Args,LA),
|
||||
length(Args1,LA),
|
||||
Lit1=..[P|Args1],
|
||||
modeb(_,Lit1),
|
||||
input_vars(LitM,Lit1,InputVars).
|
||||
|
||||
input_variables(LitM,InputVars):-
|
||||
LitM=..[P|Args],
|
||||
length(Args,LA),
|
||||
length(Args1,LA),
|
||||
Lit1=..[P|Args1],
|
||||
modeh(_,Lit1),
|
||||
input_vars(LitM,Lit1,InputVars).
|
||||
|
||||
input_vars(Lit,Lit1,InputVars):-
|
||||
Lit =.. [_|Vars],
|
||||
Lit1 =.. [_|Types],
|
||||
input_vars1(Vars,Types,InputVars).
|
||||
|
||||
|
||||
input_vars1([],_,[]).
|
||||
|
||||
input_vars1([V|RV],[+_T|RT],[V|RV1]):-
|
||||
!,
|
||||
input_vars1(RV,RT,RV1).
|
||||
|
||||
input_vars1([_V|RV],[_|RT],RV1):-
|
||||
input_vars1(RV,RT,RV1).
|
||||
|
||||
|
||||
exctract_type_vars([],[]).
|
||||
|
||||
exctract_type_vars([Lit|RestLit],TypeVars):-
|
||||
Lit =.. [Pred|Args],
|
||||
length(Args,L),
|
||||
length(Args1,L),
|
||||
Lit1 =.. [Pred|Args1],
|
||||
take_mode(Lit1),
|
||||
type_vars(Args,Args1,Types),
|
||||
exctract_type_vars(RestLit,TypeVars0),
|
||||
!,
|
||||
append(Types,TypeVars0,TypeVars).
|
||||
|
||||
|
||||
take_mode(Lit):-
|
||||
modeh(_,Lit),!.
|
||||
|
||||
take_mode(Lit):-
|
||||
modeb(_,Lit),!.
|
||||
|
||||
take_mode(Lit):-
|
||||
mode(_,Lit),!.
|
||||
|
||||
|
||||
type_vars([],[],[]).
|
||||
|
||||
type_vars([V|RV],[+T|RT],[V=T|RTV]):-
|
||||
!,
|
||||
type_vars(RV,RT,RTV).
|
||||
|
||||
type_vars([V|RV],[-T|RT],[V=T|RTV]):-atom(T),!,
|
||||
type_vars(RV,RT,RTV).
|
||||
|
||||
type_vars([_V|RV],[_T|RT],RTV):-
|
||||
type_vars(RV,RT,RTV).
|
||||
|
||||
|
||||
take_var_args([],_,[]).
|
||||
|
||||
take_var_args([+T|RT],TypeVars,[V|RV]):-
|
||||
!,
|
||||
member(V=T,TypeVars),
|
||||
take_var_args(RT,TypeVars,RV).
|
||||
|
||||
take_var_args([-T|RT],TypeVars,[_V|RV]):-
|
||||
atom(T),
|
||||
take_var_args(RT,TypeVars,RV).
|
||||
|
||||
take_var_args([-T|RT],TypeVars,[V|RV]):-
|
||||
member(V=T,TypeVars),
|
||||
take_var_args(RT,TypeVars,RV).
|
||||
|
||||
take_var_args([T|RT],TypeVars,[T|RV]):-
|
||||
T\= + _,(T\= - _; T= - A,number(A)),
|
||||
take_var_args(RT,TypeVars,RV).
|
||||
|
||||
|
||||
choose_rule(Theory,Rule):-
|
||||
( setting(mcts_covering,true) ->
|
||||
mcts_restart(Restart),
|
||||
nth(K,Theory,Rule),
|
||||
K >= Restart
|
||||
;
|
||||
member(Rule,Theory)
|
||||
).
|
||||
%last(Theory,Rule).
|
||||
|
||||
add_rule(Theory,add(rule(ID,H,[],true))):-
|
||||
new_id(ID),
|
||||
findall(HL , modeh(_,HL), HLS),
|
||||
length(HLS,NH),
|
||||
P is 1/(NH+1),
|
||||
add_probs(HLS,H,P),
|
||||
\+ member(rule(_,H,[],true),Theory).
|
||||
|
||||
add_rule(Theory,TheoryGen):-
|
||||
findall(HL , modeh(_,HL), HLS),
|
||||
add_rule(HLS,Theory,TheoryGen).
|
||||
|
||||
add_rule([X|_R],Theory,TheoryGen) :-
|
||||
new_id(ID),
|
||||
X =.. [P|A],
|
||||
length(A,LA),
|
||||
length(A1,LA),
|
||||
PH =.. [P|A1],
|
||||
TheoryGen = add(rule(ID,[PH:0.5,'':0.5],[],true)),
|
||||
\+ member(rule(_,[PH:_,'':_],[],true),Theory).
|
||||
|
||||
add_rule([_X|R],Theory,TheoryGen) :-
|
||||
add_rule(R,Theory,TheoryGen).
|
||||
|
||||
|
||||
add_probs([],['':P],P):-!.
|
||||
|
||||
add_probs([H|T],[H:P|T1],P):-
|
||||
add_probs(T,T1,P).
|
||||
|
||||
|
||||
extract_fancy_vars(List,Vars):-
|
||||
term_variables(List,Vars0),
|
||||
fancy_vars(Vars0,1,Vars).
|
||||
|
||||
|
||||
fancy_vars([],_,[]).
|
||||
|
||||
fancy_vars([X|R],N,[NN2=X|R1]):-
|
||||
name(N,NN),
|
||||
append([86],NN,NN1),
|
||||
name(NN2,NN1),
|
||||
N1 is N + 1,
|
||||
fancy_vars(R,N1,R1).
|
||||
|
||||
|
||||
delete_one([X|R],R,X).
|
||||
|
||||
delete_one([X|R],[X|R1],D):-
|
||||
delete_one(R,R1,D).
|
||||
|
||||
|
||||
remove_last([_X],[]) :-
|
||||
!.
|
||||
|
||||
remove_last([X|R],[X|R1]):-
|
||||
remove_last(R,R1).
|
||||
|
||||
|
||||
delete_matching([],_El,[]).
|
||||
|
||||
delete_matching([El|T],El,T1):-!,
|
||||
delete_matching(T,El,T1).
|
||||
|
||||
delete_matching([H|T],El,[H|T1]):-
|
||||
delete_matching(T,El,T1).
|
||||
|
1410
packages/cplint/lemur/slipcover_lemur.pl
Normal file
1410
packages/cplint/lemur/slipcover_lemur.pl
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user