move examples upwards.
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packages/CLPBN/examples/School/README
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packages/CLPBN/examples/School/README
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This is a version of the school database, based on the PRM School example.
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There are four main files:
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school_128.yap: a school with 128 professors, 256 courses and 4096 students.
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school_64.yap: medium size school
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school_32.yap: small school
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schema.yap: the schema
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tables: CPTs
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professor_ability(p0,X).
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professor_popularity(p0,X).
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professor_ability(p0,X), professor_popularity(p0,h).
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professor_ability(p0,h), professor_popularity(p0,X).
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registration_grade(r0,X).
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registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,h).
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registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,h), registration_student(r0,S), student_intelligence(S,h).
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registration_grade(r0,X), registration_course(r0,C), course_difficulty(C,l), registration_student(r0,S), student_intelligence(S,h).
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registration_satisfaction(r0,X).
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registration_satisfaction(r0,X), registration_student(r0,S), student_intelligence(S,h).
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registration_satisfaction(r0,X), registration_grade(r0,a).
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registration_satisfaction(r0,X), registration_grade(r0,d).
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registration_satisfaction(r0,h), registration_grade(r0,X).
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course_rating(c0,X).
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course_rating(c0,h), course_difficulty(c0,X).
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course_difficulty(c0,X).
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student_ranking(s0,X).
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student_ranking(s0,X), student_intelligence(s0,h).
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17
packages/CLPBN/examples/School/evidence_128.yap
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packages/CLPBN/examples/School/evidence_128.yap
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:- [school_128].
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professor_popularity(p0,h) :- {}.
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professor_popularity(p3,h) :- {}.
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professor_popularity(p5,l) :- {}.
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professor_popularity(p45,h) :- {}.
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professor_popularity(p15,m) :- {}.
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course_rating(c0, h) :- {}.
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course_rating(c1, m) :- {}.
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course_rating(c2, l) :- {}.
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course_rating(c3, h) :- {}.
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course_rating(c4, m) :- {}.
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course_rating(c5, l) :- {}.
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course_rating(c62, m) :- {}.
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packages/CLPBN/examples/School/parlearn.yap
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packages/CLPBN/examples/School/parlearn.yap
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:- [pos:sample32].
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:- ['~/Yap/work/CLPBN/clpbn/examples/School/school_32'].
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% These libraries provide same functionality.
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:- [library('clpbn/learning/mle')].
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%:- [library('clpbn/learning/bnt_parms')].
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:- [library(matrix)].
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main :-
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findall(X,goal(X),L),
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learn_parameters(L,CPTs),
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write_cpts(CPTs).
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goal(professor_ability(P,V)) :-
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pos:professor_ability(P,V),
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p(pa, M), random < M.
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goal(professor_popularity(P,V)) :-
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pos:professor_popularity(P,V),
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p(pp, M), random < M.
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goal(registration_grade(P,V)) :-
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pos:registration_grade(P,V),
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p(rg, M), random < M.
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goal(student_intelligence(P,V)) :-
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pos:student_intelligence(P,V),
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p(si, M), random < M.
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goal(course_difficulty(P,V)) :-
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pos:course_difficulty(P,V),
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p(cd, M), random < M.
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goal(registration_satisfaction(P,V)) :-
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pos:registration_satisfaction(P,V),
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p(rs, M), random < M.
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% sampling parameter
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p(_, 1.0).
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write_cpts([]).
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write_cpts([CPT|CPTs]) :-
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matrix_to_list(CPT,L),
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format('CPT=~w~n',[L]),
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write_cpts(CPTs).
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2433
packages/CLPBN/examples/School/sample32.yap
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packages/CLPBN/examples/School/sample32.yap
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File diff suppressed because it is too large
Load Diff
71
packages/CLPBN/examples/School/schema.yap
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packages/CLPBN/examples/School/schema.yap
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/* base file for school database. Supposed to be called from school_*.yap */
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professor_key(Key) :-
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professor(Key).
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professor_ability(Key,Abi) :-
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abi_table(Key, AbiDist),
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{ Abi = ability(Key) with p([h,m,l], AbiDist) }.
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professor_popularity(Key, Pop) :-
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professor_ability(Key, Abi),
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pop_table(Key,PopTable),
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{ Pop = popularity(Key) with
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p([h,m,l], PopTable,[Abi]) }.
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registration_key(Key) :-
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registration(Key, _, _).
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registration_course(Key, CKey) :-
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registration(Key, CKey, _).
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registration_student(Key, SKey) :-
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registration(Key, _, SKey).
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registration_grade(Key, Grade) :-
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registration(Key, CKey, SKey),
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course_difficulty(CKey, Dif),
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student_intelligence(SKey, Int),
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grade_table(Int, Dif, Table),
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{ Grade = grade(Key) with Table }.
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% registration_satisfaction(r0, h) :- {}.
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registration_satisfaction(Key, Sat) :-
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registration_course(Key, CKey),
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course_professor(CKey, PKey),
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professor_ability(PKey, Abi),
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registration_grade(Key, Grade),
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satisfaction_table(Abi, Grade, Table),
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{ Sat = satisfaction(Key) with Table }.
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course_key(Key) :-
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course(Key,_).
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course_professor(Key, PKey) :-
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course(Key, PKey).
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course_rating(CKey, Rat) :-
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setof(Sat, RKey^(registration_course(RKey,CKey), registration_satisfaction(RKey,Sat)), Sats),
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{ Rat = rating(CKey) with avg([h,m,l],Sats) }.
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course_difficulty(Key, Dif) :-
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dif_table(Key, Dist),
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{ Dif = difficulty(Key) with p([h,m,l], Dist) }.
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student_key(Key) :-
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student(Key).
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student_intelligence(Key, Int) :-
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int_table(Key, IDist, Domain),
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{ Int = intelligence(Key) with p(Domain, IDist) }.
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student_ranking(Key, Rank) :-
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setof(Grade, CKey^(registration_student(CKey,Key),
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registration_grade(CKey, Grade)), Grades),
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{ Rank = ranking(Key) with avg([a,b,c,d],Grades) }.
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:- ensure_loaded(tables).
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18432
packages/CLPBN/examples/School/school_128.yap
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18432
packages/CLPBN/examples/School/school_128.yap
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File diff suppressed because it is too large
Load Diff
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packages/CLPBN/examples/School/school_32.yap
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packages/CLPBN/examples/School/school_32.yap
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File diff suppressed because it is too large
Load Diff
4706
packages/CLPBN/examples/School/school_64.yap
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4706
packages/CLPBN/examples/School/school_64.yap
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File diff suppressed because it is too large
Load Diff
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packages/CLPBN/examples/School/tables.yap
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packages/CLPBN/examples/School/tables.yap
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int_table(_, [0.5,
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0.4,
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0.1],[h, m, l]).
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grade_table(I, D,
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/* h h h m h l m h m m m l l h l m l l */
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p([a,b,c,d],
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[ 0.2, 0.7, 0.85, 0.1, 0.2, 0.5, 0.01, 0.05,0.1 ,
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0.6, 0.25, 0.12, 0.3, 0.6,0.35,0.04, 0.15, 0.4 ,
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0.15,0.04, 0.02, 0.4,0.15,0.12, 0.5, 0.6, 0.4,
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0.05,0.01, 0.01, 0.2,0.05,0.03, 0.45, 0.2, 0.1 ], [I,D])).
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/*
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A: professor's ability;
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B: student's grade (for course registration).
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*/
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satisfaction_table(A, G,
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/* h a h b h c h d m a m b m c m d l a l b l c l d */
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p([h,m,l],
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/*h*/ [0.98, 0.9,0.8 , 0.6, 0.9, 0.4, 0.2, 0.01, 0.5, 0.2, 0.01, 0.01,
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/*m*/ 0.01, 0.09,0.15, 0.3,0.05, 0.4, 0.3, 0.04,0.35, 0.3, 0.09, 0.01 ,
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/*l*/ 0.01, 0.01,0.05, 0.1,0.05, 0.2, 0.5, 0.95,0.15, 0.5, 0.9, 0.98], [A,G])).
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% The idea is quite simple:
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% hs = h -> r = ( 0.9, 0.1, 0)
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% hs = m -> r = ( 0.2, 0.6, 0.2)
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% hs = l -> r = ( 0, 0.1, 0.9)
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%
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% add all and divide on the number of elements on the table!
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%
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rating_prob_table([0.9,0.05,0.01,
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0.09,0.9,0.09,
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0.01,0.05,0.9]).
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abi_table( _, [0.50, 0.40, 0.10]).
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pop_table(_, [0.9, 0.2, 0.01,
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0.09, 0.6, 0.09,
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0.01, 0.2, 0.9]).
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dif_table( _, [0.25, 0.50, 0.25]).
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