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