285 lines
8.0 KiB
Prolog
285 lines
8.0 KiB
Prolog
%%% -*- Mode: Prolog; -*-
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:- module(flags, [set_problog_flag/2,
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problog_flag/2,
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problog_flags/0]).
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:- style_check(all).
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:- yap_flag(unknown,error).
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:- use_module(print, [print_param/4,
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print_sep_line/0]).
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:- ensure_loaded(library(system)).
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:- dynamic bdd_time/1, first_threshold/1, last_threshold/1, id_stepsize/1, prunecheck/1, maxsteps/1, mc_batchsize/1, mc_logfile/1, bdd_file/1, bdd_par_file/1, bdd_result/1, work_dir/1, save_bdd/1.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% global parameters that can be set using set_problog_flag/2
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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problog_flag(Flag,Option) :-
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get_problog_flag(Flag,Option).
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get_problog_flag(bdd_time,X) :-
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bdd_time(X).
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get_problog_flag(first_threshold,X) :-
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first_threshold(X).
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get_problog_flag(last_threshold,X) :-
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last_threshold(L),
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X is exp(L).
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get_problog_flag(last_threshold_log,X) :-
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last_threshold(X).
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get_problog_flag(id_stepsize,X) :-
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id_stepsize(L),
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X is exp(L).
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get_problog_flag(id_stepsize_log,X) :-
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id_stepsize(X).
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get_problog_flag(prunecheck,X) :-
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prunecheck(X).
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get_problog_flag(maxsteps,X) :-
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maxsteps(X).
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get_problog_flag(mc_batchsize,X) :-
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mc_batchsize(X).
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get_problog_flag(mc_logfile,X) :-
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mc_logfile(X).
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get_problog_flag(bdd_file,X) :-
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bdd_file(X).
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get_problog_flag(bdd_par_file,X) :-
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bdd_par_file(X).
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get_problog_flag(bdd_result,X) :-
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bdd_result(X).
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get_problog_flag(dir,X) :-
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work_dir(X).
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get_problog_flag(save_bdd,X) :-
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save_bdd(X).
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%%%%%%%%%%%%
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% BDD timeout in seconds, used as option in BDD tool
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%%%%%%%%%%%%
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set_problog_flag(bdd_time,X) :-
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(\+ integer(X); X<0),
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!,
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format(user,'\% ERROR: value must be positive integer!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(bdd_time,X) :-
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retractall(bdd_time(_)),
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assert(bdd_time(X)).
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%%%%%%%%%%%%
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% iterative deepening on minimal probabilities (delta, max, kbest):
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% - first threshold (not in log-space as only used to retrieve argument for init_threshold/1, which is also used with user-supplied argument)
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% - last threshold to ensure termination in case infinite search space (saved in log-space for easy comparison with current values during search)
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% - factor used to decrease threshold for next level, NewMin=Factor*OldMin (saved in log-space)
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%%%%%%%%%%%%
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set_problog_flag(first_threshold,X) :-
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(\+ number(X); X<0 ; X>1),
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!,
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format(user,'\% ERROR: value must be in [0,1]!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(first_threshold,X) :-
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retractall(first_threshold(_)),
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assert(first_threshold(X)).
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set_problog_flag(last_threshold,X) :-
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(\+ number(X); X<0 ; X>1),
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!,
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format(user,'\% ERROR: value must be in [0,1]!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(last_threshold,X) :-
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retractall(last_threshold(_)),
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L is log(X),
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assert(last_threshold(L)).
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set_problog_flag(id_stepsize,X) :-
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(\+ number(X); X=<0 ; X>=1),
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!,
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format(user,'\% ERROR: value must be in ]0,1[!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(id_stepsize,X) :-
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retractall(id_stepsize(_)),
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L is log(X),
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assert(id_stepsize(L)).
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%%%%%%%%%%%%
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% prune check stops derivations if they use a superset of facts already known to form a proof
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% (very) costly test, can be switched on/off here
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%%%%%%%%%%%%
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set_problog_flag(prunecheck,on) :-
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!,
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format(user,'WARNING: prune check not implemented, will fail~n',[]),
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flush_output(user),
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retractall(prunecheck(_)),
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assert(prunecheck(on)).
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set_problog_flag(prunecheck,off) :-
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!,
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retractall(prunecheck(_)),
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assert(prunecheck(off)).
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set_problog_flag(prunecheck,_) :-
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format(user,'\% ERROR: value must be \'on\' or \'off\'!~n',[]),
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flush_output(user),
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fail.
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%%%%%%%%%%%%
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% max number of calls to probabilistic facts per derivation (to ensure termination)
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%%%%%%%%%%%%
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set_problog_flag(maxsteps,X) :-
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(\+ integer(X); X<0),
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!,
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format(user,'\% ERROR: value must be positive integer!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(maxsteps,X) :-
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retractall(maxsteps(_)),
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assert(maxsteps(X)).
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%%%%%%%%%%%%
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% montecarlo: recalculate current approximation after N samples
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%%%%%%%%%%%%
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set_problog_flag(mc_batchsize,X) :-
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(\+ integer(X); X<0),
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!,
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format(user,'\% ERROR: value must be positive integer!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(mc_batchsize,X) :-
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retractall(mc_batchsize(_)),
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assert(mc_batchsize(X)).
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%%%%%%%%%%%%
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% montecarlo: write log to this file
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%%%%%%%%%%%%
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set_problog_flag(mc_logfile,X) :-
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\+ atom(X),
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!,
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format(user,'\% ERROR: value must be atom!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(mc_logfile,X) :-
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retractall(mc_logfile(_)),
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assert(mc_logfile(X)).
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%%%%%%%%%%%%
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% files to write BDD script and pars
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% bdd_file overwrites bdd_par_file with matching extended name
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% if different name wanted, respect order when setting
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%%%%%%%%%%%%
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set_problog_flag(bdd_file,X) :-
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\+ atom(X),
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!,
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format(user,'\% ERROR: value must be atom!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(bdd_file,X) :-
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retractall(bdd_file(_)),
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atomic_concat(X,'_probs',Y),
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set_problog_flag(bdd_par_file,Y),
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atomic_concat(X,'_res',Z),
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set_problog_flag(bdd_result,Z),
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assert(bdd_file(X)).
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set_problog_flag(bdd_par_file,X) :-
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\+ atom(X),
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!,
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format(user,'\% ERROR: value must be atom!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(bdd_par_file,X) :-
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retractall(bdd_par_file(_)),
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assert(bdd_par_file(X)).
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set_problog_flag(bdd_result,X) :-
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\+ atom(X),
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!,
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format(user,'\% ERROR: value must be atom!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(bdd_result,X) :-
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retractall(bdd_result(_)),
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assert(bdd_result(X)).
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%%%%%%%%%%%%
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% working directory: all the temporary and output files will be located there
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%%%%%%%%%%%%
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set_problog_flag(dir,X) :-
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\+ atom(X),
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!,
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format(user,'\% ERROR: value must be atom!~n',[]),
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flush_output(user),
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fail.
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set_problog_flag(dir,X) :-
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retractall(work_dir(_)),
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atomic_concat([X,'/'],D),
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atomic_concat(['mkdir ',D],Mkdir),
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(file_exists(X) -> true; shell(Mkdir)),
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assert(work_dir(D)).
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%%%%%%%%%%%%
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% save BDD information for the (last) lower bound BDD used during inference
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% produces three files named save_script, save_params, save_map
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% located in the directory given by problog_flag dir
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%%%%%%%%%%%%
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set_problog_flag(save_bdd,true) :-
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!,
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retractall(save_bdd(_)),
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assert(save_bdd(true)).
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set_problog_flag(save_bdd,false) :-
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!,
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retractall(save_bdd(_)),
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assert(save_bdd(false)).
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set_problog_flag(save_bdd,_) :-
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format(user,'\% ERROR: value must be \'true\' or \'false\'!~n',[]),
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flush_output(user),
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fail.
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%%%%%%%%%%%%%%%%%%%%%%%%
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% show values
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%%%%%%%%%%%%%%%%%%%%%%%%
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problog_flags :-
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format('~n',[]),
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print_sep_line,
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format('problog flags: use set_problog_flag(Flag,Option) to change, problog_flag(Flag,Option) to view~n',[]),
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print_sep_line,
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print_param(description,value,flag,option),
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print_sep_line,
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problog_flag(bdd_time,StopBDD),
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print_param('BDD computation timeout in seconds',StopBDD,'bdd_time','positive integer'),
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problog_flag(first_threshold,First),
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print_param('starting threshold iterative deepening',First,'first_threshold','0 =< Option =< 1'),
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problog_flag(last_threshold,Last),
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print_param('stopping threshold iterative deepening',Last,'last_threshold','0 =< Option =< 1'),
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problog_flag(id_stepsize,Decrease),
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print_param('threshold shrinking factor iterative deepening',Decrease,'id_stepsize','0 < Option < 1'),
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problog_flag(prunecheck,Check),
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print_param('stop derivations including all facts of known proof',Check,'prunecheck','on/off'),
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problog_flag(maxsteps,Steps),
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print_param('max. number of prob. steps per derivation',Steps,'maxsteps','positive integer'),
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problog_flag(mc_batchsize,MCBatch),
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print_param('number of samples before update in montecarlo',MCBatch,'mc_batchsize','positive integer'),
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problog_flag(mc_logfile,MCFile),
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print_param('logfile for montecarlo',MCFile,'mc_logfile','atom'),
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problog_flag(bdd_file,BDDFile),
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print_param('file for BDD script',BDDFile,'bdd_file','atom'),
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problog_flag(dir,WorkDir),
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print_param('directory for files',WorkDir,'dir','atom'),
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problog_flag(save_bdd,Save),
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print_param('save BDD files for (last) lower bound',Save,'save_bdd','true/false'),
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print_sep_line,
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format('~n',[]),
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flush_output.
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