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yap-6.3/packages/cplint/approx/deepdyn.pl
RIGUZZI FABRIZIO - Dipartimento di Ingegneria db2eefd0c9 added approximated cplint
2010-03-18 16:11:21 +01:00

353 lines
12 KiB
Prolog

/*==============================================================================
* LPAD and CP-Logic reasoning suite
* File deepit.pl
* Goal oriented interpreter for LPADs based on SLDNF
* Copyright (c) 2009, Stefano Bragaglia
*============================================================================*/
:- dynamic rule/4, def_rule/2.
/* EXTERNAL FILE
* -------------
* The following libraries are required by the program to work fine.
*/
:- use_module(library(lists)).
:- use_module(library(system)).
:- use_module(library(ugraphs)).
:- use_module(params).
:- use_module(tptreefile).
:- use_module(utility).
% :- source.
% :- yap_flag(single_var_warnings, on).
/* SOLVING PREDICATES
* ------------------
* The predicates in this section solve any given problem with several class of
* algorithms.
*
* Note: the original predicates (no more need and eligible to be deleted) have
* been moved to the end of the file.
*/
/* solve(GoalsList, ProbLow, ProbUp, ResTime, BddTime)
* ---------------------------------------------------
* This predicate computes the probability of a given list of goals using an
* iterative deepening algorithm. It also returns the number of handled BDDs and
* CPUTime spent in performing resolution and in handling the BDDs.
*
* INPUT
* - GoalsList: given list of goal to work on.
*
* OUTPUT
* - ProbLow: the resulting lowerbound probability for the given list of goals.
* - ProbUp: the resulting upperbound probability for the given list of goals.
* - ResTime: cpu time spent on performing resolution.
* - BddTime: cpu time spent on handling BDDs.
*/
solve(GoalsList, ProbLow,ProbUp, ResTime, BddTime):-
setting(min_error, MinError),
setting(prob_step, ProbStep),
LogProbStep is log(ProbStep),
assert(low(0,0.0)),
assert(up(1.0)),
init_ptree(1),
% NB: log(1.0) == 0.0 !!!
deepdyn([0.0-([], [], GoalsList)], 0, MinError, LogProbStep, ProbLow, ProbUp, 0, ResTime, 0, BddTime),
delete_ptree(1),
retract(low(_,_)),
retract(up(_)).
/* solve_t(L0,Succ,PB,ProbL0,ProbU0) L0 is a list of quadruples (CG,C,P,G) where
CG is the list of ground choices, C is the list of non-ground choices,
P is the probability of CG, G is the list of goals to be resolved,
Succ is the list of explanations found so far, PB is the current prob bound,
ProbL0,ProbU0 are the lower/upper prob bounds */
deepdyn(GoalsList, Number, MinError, ProbStep, LowerProb1, UpperProb1, ResTime0, ResTime1, BddTime0, BddTime1) :-
% Resetting the clocks...
statistics(walltime, [_, _]),
% Performing resolution...
findall(Prob1-(Gnd1, Var1, Goals1),
(member(Prob0-(Gnd0, Var0, Goals0), GoalsList), ProbBound is log(Prob0) + ProbStep, explore(ProbBound, Prob0-(Gnd0, Var0, Goals0), Prob1-(Gnd1, Var1, Goals1))),
List),
% Taking elapsed times...
statistics(walltime, [_, ElapResTime]),
ResTime2 is ResTime0 + ElapResTime/1000,
% Building and solving equivalent bdds...
init_ptree(2),
init_ptree(3),
separate(List, [], LowerList0, [], UpperList, [], Incomplete),
insert_list_ptree(LowerList0, 1),
insert_list_ptree(UpperList, 2),
merge_ptree(1,2,3),
length(LowerList0, DeltaLow),
Next is Number + DeltaLow,
eval_lower(Next, ProbLow),
length(UpperList, DeltaUp),
Temp is Next + DeltaUp,
eval_upper(Temp, ProbUp),
delete_ptree(2),
delete_ptree(3),
% Taking elapsed times...
statistics(walltime, [_, ElapBddTime]),
BddTime2 is BddTime0 + (ElapBddTime / 1000),
% Is the current error lower than the minimum error?
(ProbUp - ProbLow < MinError ->
% Setting output parameters' values...
LowerProb1 = ProbLow,
UpperProb1 = ProbUp,
ResTime1 = ResTime2,
BddTime1 = BddTime2;
% Keeping on iterating with accumulated values...
% sufficient without negation:
% D1 = DB,
% necessary for negation
deepdyn(Incomplete, Next, MinError, ProbStep, LowerProb1, UpperProb1, ResTime2, ResTime1, BddTime2, BddTime1)).
/* separate(List, Low, Up, Next)
* ----------------------------------
* This tail recursive predicate parses the input list and builds the list for
* the lower bound, the upper bound and the pending goals.
* The upper bound list contains both the items of the lower bound list and the
* incomplete ones.
*
* INPUT
* - List: input list.
*
* OUTPUT
* - Low: list for lower bound.
* - Up: list for upper bound.
* - Next: list of pending goals.
*/
separate(List, Low, Up, Next) :-
%% Polarization: initial low, up and next lists are empty.
separate(List, [], Low, [], Up, [], Next).
separate([], Low, Low, Up, Up, Next, Next) :- !.
%% Closing condition: stop if no more results (current lists are now final lists).
separate([_Prob-(Gnd0, [], [])|Tail], Low0, [Gnd0|Low1], Up0, [Gnd0|Up1], Next0, Next1) :- !,
separate(Tail, Low0, Low1, Up0, Up1, Next0, Next1).
separate([Prob0-(Gnd0, Var0, Goals)|Tail], Low0, Low1, Up0, [Gnd1|Up1], Next0, [Prob1-(Gnd1, Var1, Goals)|Next1]) :-
get_groundc(Var0, Gnd2, Var1, 1.0, Prob2),
append(Gnd0, Gnd2, Gnd1),
Prob1 is Prob0 + log(Prob2),
separate(Tail, Low0, Low1, Up0, Up1, Next0, Next1).
/* explore(ProbBound, Prob0-(Gnd0, Var0, Goals0), Prob1-(Gnd1, Var1, Goals1))
* --------------------------------------------------------------------------
* This tail recursive predicate reads current explanation and returns the
* explanation after the current iteration without dropping below the given
* probability bound.
*
* INPUT
* - ProbBound: the desired probability bound;
* - Prob0-(Gnd0, Var0, Goals0): current explanation
* - Gnd0: list of current ground choices,
* - Var0: list of current non-ground choices,
* - Prob0: probability of Gnd0,
* - Goals0: list of current goals.
*
* OUTPUT
* - Prob1-(Gnd1, Var1, Prob1, Goals1): explanation after current iteration
* - Gnd1: list of final ground choices,
* - Var1: list of final non-ground choices,
* - Prob1: probability of Gnd1,
* - Goals1: list of final goals.
*/
explore(_ProbBound, Prob-(Gnd, Var, []), Prob-(Gnd, Var, [])) :- !.
%% Closing condition: stop if no more goals (input values are output values).
explore(ProbBound, Prob-(Gnd, Var, Goals), Prob-(Gnd, Var, Goals)) :-
%% Closing condition: stop if bound has been reached (input values are output values).
Prob =< ProbBound, !.
% Negation, builtin
explore(ProbBound, Prob0-(Gnd0, Var0, [\+ Head|Tail]), Prob1-(Gnd1, Var1, Goals1)) :-
builtin(Head), !,
call((\+ Head)),
explore(ProbBound, Prob0-(Gnd0, Var0, Tail), Prob1-(Gnd1, Var1, Goals1)).
%% Recursive call: consider next goal (building next values)
% Negation
explore(ProbBound, Prob0-(Gnd0, Var0, [\+ Head|Tail]), Prob1-(Gnd1, Var1, Goals1)) :- !,
list2and(HeadList, Head), % ...
findall(Prob-(Gnd, Var, CurrentGoals), explore(ProbBound, 0.0-([], [], HeadList), Prob-(Gnd, Var, CurrentGoals)), List) ->
separate(List, [], LowerBound, [], _UpperBound, [], PendingGoals),
(PendingGoals \= [] ->
Var2 = Var0,
Gnd2 = Gnd0,
Goals1 = [\+ Head|Goals],
explore(ProbBound, Prob0-(Gnd2, Var2, Tail), Prob1-(Gnd1, Var1, Goals));
%% Recursive call: consider next goal (building next values)
choose_clausesc(Gnd0, Var0, LowerBound, Var),
get_groundc(Var, Gnd, Var2, 1, Prob),
append(Gnd0, Gnd, Gnd2),
Prob2 is Prob0 + log(Prob),
explore(ProbBound, Prob2-(Gnd2, Var2, Tail), Prob1-(Gnd1, Var1, Goals1))).
%% Recursive call: consider next goal (building next values)
% Main, builtin
explore(ProbBound, Prob0-(Gnd0, Var0, [Head|Tail]), Prob1-(Gnd1, Var1, Goals1)) :-
builtin(Head), !,
call(Head),
get_groundc(Var0, Gnd, Var2, 1, Prob),
append(Gnd0, Gnd, Gnd2),
Prob2 is Prob0 + log(Prob),
explore(ProbBound, Prob2-(Gnd2, Var2, Tail), Prob1-(Gnd1, Var1, Goals1)).
% Recursive call: consider next goal (building next values)
% Main, def_rule
explore(ProbBound, Prob0-(Gnd0, Var0, [Head|Tail]), Prob1-(Gnd1, Var1, Goals1)) :-
def_rule(Head, Goals0),
append(Goals0, Tail, Goals2),
get_groundc(Var0, Gnd, Var2, 1, Prob),
append(Gnd0, Gnd, Gnd2),
Prob2 is Prob0 + log(Prob),
explore(ProbBound, Prob2-(Gnd2, Var2, Goals2), Prob1-(Gnd1, Var1, Goals1)).
% Recursive call: consider next goal (building next values)
% Main, find_rulec
explore(ProbBound, Prob0-(Gnd0, Var0, [Head|Tail]), Prob1-(Gnd1, Var1, Goals1)) :-
find_rulec(Head, (R, S, N), Goals, Var0, _Prob),
explore_pres(ProbBound, R, S, N, Goals, Prob0-(Gnd0, Var0, Tail), Prob1-(Gnd1, Var1, Goals1)).
explore_pres(ProbBound, R, S, N, Goals, Prob0-(Gnd0, Var0, Goals0), Prob1-(Gnd1, Var1, Goals)) :-
(member_eq((N, R, S), Var0);
member_eq((N, R, S), Gnd0)), !,
append(Goals, Goals0, Goals2),
get_groundc(Var0, Gnd, Var2, 1, Prob),
append(Gnd0, Gnd, Gnd2),
Prob2 is Prob0 + log(Prob),
explore(ProbBound, Prob2-(Gnd2, Var2, Goals2), Prob1-(Gnd1, Var1, Goals)).
% Recursive call: consider next goal (building next values)
explore_pres(ProbBound, R, S, N, Goals, Prob0-(Gnd0, Var0, Goals0), Prob1-(Gnd1, Var1, Goals1)) :-
append(Var0, [(N, R, S)], Var),
append(Goals, Goals0, Goals2),
get_groundc(Var, Gnd, Var2, 1, Prob),
append(Gnd0, Gnd, Gnd2),
Prob2 is Prob0 + log(Prob),
explore(ProbBound, Prob2-(Gnd2, Var2, Goals2), Prob1-(Gnd1, Var1, Goals1)).
% Recursive call: consider next goal (building next values)
/* eval_lower(Number, Prob)
* ------------------------
* This predicate evaluates if there are proofs for the lower bound by
* running an external command (BDD resolution via files).
*/
eval_lower(Number, Prob) :-
low(Number, Prob).
eval_lower(Number, ProbLow) :-
Number > 0,
low(OldNumber, _),
Number \= OldNumber,
bdd_ptree_map(1, 'bddl.txt', 'bddl.par', 'bddl.map'),
run_file('bddl.txt', 'bddl.par', NewProbLow),
(NewProbLow = timeout ->
low(_, ProbLow);
ProbLow = NewProbLow,
retract(low(_, _)),
assert(low(Number, ProbLow))).
/* eval_upper(Number, Prob)
* ------------------------
* This predicate evaluates if there are proofs for the upper bound by
* running an external command (BDD resolution via files).
*/
eval_upper(0, ProbUp) :- !,
low(_, ProbUp).
eval_upper(_Number, ProbUp) :-
bdd_ptree_map(3, 'bddu.txt', 'bddu.par', 'bddu.map'),
run_file('bddu.txt', 'bddu.par', NewProbUp),
(NewProbUp = timeout->
up(ProbUp);
ProbUp = NewProbUp,
retract(up(_)),
assert(up(ProbUp))).
/* run_file(BDDFile, BDDParFile, Prob)
* -----------------------------------
* This predicate calls for the resolution of a BDD via file.
*/
run_file(BDDFile, BDDParFile, Prob) :-
ResultFile = 'result.txt',
library_directory(Dir),
setting(timeout, BDDTime),
(BDDTime = no ->
atomic_concat([Dir, '/LPADBDD -l ', BDDFile, ' -i ', BDDParFile,' > ', ResultFile], Command);
atomic_concat([Dir, '/LPADBDD -l ', BDDFile, ' -i ', BDDParFile,' -t ', BDDTime,' > ', ResultFile], Command)),
%statistics(walltime,_),
shell(Command, Return),
(Return =\= 0 ->
Status = timeout,
Prob = Status;
see(ResultFile),
read(elapsed_construction(_TimeConstruction)),
read(probability(Prob)),
read(elapsed_traversing(_TimeTraversing)),
seen,
%write(probability(Prob)),nl,
%read(_),
%delete_file(ResultFile),
Status = ok
% format("Construction time ~f traversing time ~f~Number",[TimeConstruction, TimeTraversing])
).
%statistics(walltime,[_,E3]),
%format(user,'~w ms BDD processing~Number',[E3]),
% format("Status ~a~Number",[Status]).
/* insert_list_ptree([Head|Tail], Trie)
* ------------------------------------
* This predicate inserts the given list in a trie.
*/
insert_list_ptree([], _Trie).
insert_list_ptree([Head|Tail], Trie) :-
reverse(Head, Head1),
insert_ptree(Head1, Trie),
insert_list_ptree(Tail, Trie).