update package locations to a subdir packages

This commit is contained in:
Vitor Santos Costa
2009-02-16 12:23:29 +00:00
parent 495ff55868
commit 9c9444bece
151 changed files with 62955 additions and 0 deletions

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%%% -*- 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.

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%%% -*- Mode: Prolog; -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% printing functions used for problog_help and problog_flags
% collected here to have formatting at one place
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:- module(print, [print_param/4,
print_sep_line/0,
print_inference/2]).
print_param(Keyword,Value,Function,Legal) :-
format(user,'~w~55+~q~15+~w~30+~w~25+~n',[Keyword,Value,Function,Legal]).
print_sep_line :-
sep_line(125).
sep_line(0) :-
!,
format('~n',[]).
sep_line(N) :-
format('-',[]),
NN is N-1,
sep_line(NN).
print_inference(Call,Description) :-
format(user,'~w~65+~w~60+~n',[Call,Description]).

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%%% -*- Mode: Prolog; -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% prefix-trees for managing a DNF
% remembers shortest prefix of a conjunction only (i.e. a*b+a*b*c results in a*b only, but b*a+a*b*c is not reduced)
% children are sorted, but branches aren't (to speed up search while keeping structure sharing from proof procedure)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:- module(ptree,[init_ptree/1,
delete_ptree/1,
rename_ptree/2,
member_ptree/2,
enum_member_ptree/2,
insert_ptree/2,
delete_ptree/2,
edges_ptree/2,
count_ptree/2,
prune_check_ptree/2,
empty_ptree/1,
merge_ptree/3,
bdd_ptree/3,
bdd_ptree_map/4
]).
:- use_module(library(tries),
[
trie_open/1,
trie_close/1,
trie_stats/4,
trie_check_entry/3,
trie_get_entry/2,
trie_put_entry/3,
trie_remove_entry/1,
trie_usage/4,
trie_dup/2,
trie_join/2,
trie_traverse/2
]).
:- use_module(library(ordsets),
[
ord_subset/2
]).
:- style_check(all).
:- yap_flag(unknown,error).
:- use_module(flags,[problog_flag/2]).
:- ensure_loaded(library(lists)).
:- ensure_loaded(library(system)).
% name lexicon external - internal
sym(1,tree1) :- !.
sym(2,tree2) :- !.
sym(3,tree3) :- !.
sym(N,AN) :- atomic_concat([tree,N],AN).
%%%%%%%%%%%%%%%%%%%%%%%%
% ptree basics
%%%%%%%%%%%%%%%%%%%%%%%%
init_ptree(ID) :-
sym(ID,Sym),
trie_open(Trie),
nb_setval(Sym, Trie).
delete_ptree(ID) :-
sym(ID,Sym),
nb_getval(Sym, Trie), !,
trie_close(Trie),
trie_open(NewTrie),
nb_setval(Sym, NewTrie).
delete_ptree(_).
rename_ptree(OldID,NewID) :-
sym(OldID,OldSym),
sym(NewID,NewSym),
nb_getval(OldSym, Trie),
nb_set_shared_val(NewSym, Trie).
empty_ptree(ID) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_usage(Trie, 0, 0, 0).
%%%%%%%%%%%%%%%%%%%%%%%%
% member
%%%%%%%%%%%%%%%%%%%%%%%%
% non-backtrackable (to check)
member_ptree(List,ID) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_check_entry(Trie, List, _).
% backtrackable (to list)
enum_member_ptree(ID,List) :-
sym(ID,Sym),
nb_getval(Sym, Tree),
trie_path(Tree, List).
trie_path(Tree, List) :-
trie_traverse(Tree,Ref),
trie_get_entry(Ref, List).
%%%%%%%%%%%%%%%%%%%%%%%%
% insert conjunction
%%%%%%%%%%%%%%%%%%%%%%%%
insert_ptree(true,ID) :-
sym(ID,Sym),
!,
nb_getval(Sym, Trie),
trie_close(Trie),
trie_open(NTrie),
trie_put_entry(NTrie, true, _).
insert_ptree(List,ID) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_put_entry(Trie, List, _).
%%%%%%%%%%%%%%%%%%%%%%%%
% delete conjunction
%%%%%%%%%%%%%%%%%%%%%%%%
delete_ptree(List,ID) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_check_entry(Trie, List, Ref),
trie_remove_entry(Ref).
%%%%%%%%
% return list -Edges of all edge labels in ptree
% doesn't use any heuristic to order those for the BDD
% (automatic reordering has to do the job)
%%%%%%%%%
edges_ptree(ID,[]) :-
empty_ptree(ID),
!.
edges_ptree(ID,[]) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_check_entry(Trie, true, _),
!.
edges_ptree(ID,Edges) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
setof(X, trie_literal(Trie, X), Edges).
trie_literal(Trie, X) :-
trie_traverse(Trie,Ref),
trie_get_entry(Ref, List),
member(X, List).
%%%%%%%%
% number of conjunctions in the tree
%%%%%%%%%
count_ptree(ID,N) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_usage(Trie, N, _, _).
%%%%%%%%
% check whether some branch of ptree is a subset of conjunction List
% useful for pruning the search for proofs (optional due to time overhead)
% currently not implemented, just fails
%%%%%%%
prune_check_ptree(_List,_TreeID) :-
format(user,'FAIL: prune check currently not supported~n',[]),
flush_output(user),
fail.
%%%%%%%%%%%%%
% merge two ptrees
% - take care not to loose proper prefixes that are proofs!
%%%%%%%%%%%%%%%
merge_ptree(ID1,_,ID3) :-
sym(ID1,Sym1),
sym(ID3,Sym3),
nb_getval(Sym1, T1),
trie_check_entry(T1, true, _),
!,
trie_open(T3),
trie_put_entry(T3, true, _),
nb_setval(Sym3, T3).
merge_ptree(_,ID2,ID3) :-
sym(ID2,Sym2),
sym(ID3,Sym3),
nb_getval(Sym2, T2),
trie_check_entry(T2, true, _),
!,
trie_open(T3),
trie_put_entry(T3, true, _),
nb_setval(Sym3, T3).
merge_ptree(ID1,ID2,ID3) :-
sym(ID1,Sym1),
sym(ID2,Sym2),
sym(ID3,Sym3),
nb_getval(Sym1, T1),
nb_getval(Sym2, T2),
trie_dup(T1, T3),
trie_join(T3,T2),
nb_setval(Sym3, T3).
%%%%%%%%%%%%%%%%%%%%%%%%
% write BDD info for given ptree to file
% - initializes leaf BDDs (=variables) first
% - then compresses ptree to exploit subtree sharing
% - bdd_pt/1 does the work on the structure itself
%%%%%%%%%%%%%%%%%%%%%%%%
bdd_ptree(ID,FileBDD,FileParam) :-
bdd_ptree_script(ID,FileBDD,FileParam),
eraseall(map).
% version returning variable mapping
bdd_ptree_map(ID,FileBDD,FileParam,Mapping) :-
bdd_ptree_script(ID,FileBDD,FileParam),
findall(X,recorded(map,X,_),Map),
add_probs(Map,Mapping),
eraseall(map).
add_probs([],[]).
add_probs([m(A,Name)|Map],[m(A,Name,Prob)|Mapping]) :-
problog:get_fact_probability(A,Prob),
add_probs(Map,Mapping).
% number of variables may be to high:
% counted on trie, but conversion to old tree representation
% transforms A*B+A to A (prefix-test)
bdd_ptree_script(ID,FileBDD,FileParam) :-
edges_ptree(ID,Edges),
tell(FileParam),
bdd_vars_script(Edges),
flush_output,
told,
length(Edges,VarCount),
assert(c_num(1)),
bdd_pt(ID,CT),
c_num(NN),
IntermediateSteps is NN-1,
tell(FileBDD),
format('@BDD1~n~w~n~w~n~w~n',[VarCount,0,IntermediateSteps]),
output_compressed_script(CT),
told,
retractall(c_num(_)),
retractall(compression(_,_)).
% write parameter file by iterating over all var/not(var) occuring in the tree
bdd_vars_script(Edges) :-
bdd_vars_script(Edges,0).
bdd_vars_script([],_).
bdd_vars_script([A|B],N) :-
problog:get_fact_probability(A,P),
get_var_name(A,NameA),
format('@~w~n~12f~n',[NameA,P]),
NN is N+1,
bdd_vars_script(B,NN).
%%%%%%%%%%%%%%%%%%%%%%%%
% find top level symbol for script
%%%%%%%%%%%%%%%%%%%%%%%%
% special cases: variable-free formulae
bdd_pt(ID,false) :-
empty_ptree(ID),
!,
once(retractall(c_num(_))),
once(assert(c_num(2))).
bdd_pt(ID,true) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_check_entry(Trie, true, _),
!,
once(retractall(c_num(_))),
once(assert(c_num(2))).
% general case: transform trie to nested tree structure for compression
bdd_pt(ID,CT) :-
sym(ID,Sym),
nb_getval(Sym, Trie),
trie_to_tree(Trie, Tree),
compress_pt(Tree,CT).
trie_to_tree(Trie, Tree) :-
findall(Path,trie_path(Trie, Path), Paths),
add_trees(Paths, [], Tree).
add_trees([], Tree, Tree).
add_trees([List|Paths], Tree0, Tree) :-
ins_pt(List, Tree0, TreeI),
add_trees(Paths, TreeI, Tree).
ins_pt([],_T,[]) :- !.
ins_pt([A|B],[s(A1,AT)|OldT],NewT) :-
compare(Comp, A1, A),
(Comp == = ->
(AT == [] ->
NewT=[s(A1,AT)|OldT]
;
NewT = [s(A1,NewAT)|OldT],
ins_pt(B, AT, NewAT))
;
Comp == > ->
NewT = [s(A1,AT)|Tree],
ins_pt([A|B], OldT, Tree)
;
NewT = [s(A,BTree),s(A1,AT)|OldT],
ins_pt(B,[],BTree)
).
ins_pt([A|B],[],[s(A,NewAT)]) :-
ins_pt(B,[],NewAT).
%%%%%%%%%%%%
% BDD compression: alternates and- and or-levels to build BDD bottom-up
% each sub-BDD will be either a conjunction of a one-node BDD with some BDD or a disjunction of BDDs
% uses the internal database to temporarily store a map of components
%%%%%%%%%%%%
% T is completely compressed and contains single variable
% i.e. T of form x12
compress_pt(T,TT) :-
atom(T),
test_var_name(T),
!,
get_next_name(TT),
assertz(compression(TT,[T])).
% T is completely compressed and contains subtrees
% i.e. T of form 'L56'
compress_pt(T,T) :-
atom(T).
% T not yet compressed
% i.e. T is a tree-term (nested list & s/2 structure)
% -> execute one layer of compression, then check again
compress_pt(T,CT) :-
\+ atom(T),
and_or_compression(T,IT),
compress_pt(IT,CT).
% transform tree-term T into tree-term CT where last two layers have been processed
% i.e. introduce names for subparts (-> Map) and replace (all occurrenes of) subparts by this names
and_or_compression(T,CT) :-
and_comp(T,AT),
or_comp(AT,CT).
% replace leaves that are single child by variable representing father-AND-child
and_comp(T,AT) :-
all_leaves_pt(T,Leaves),
compression_mapping(Leaves,Map),
replace_pt(T,Map,AT).
% replace list of siblings by variable representing their disjunction
or_comp(T,AT) :-
all_leaflists_pt(T,Leaves),
compression_mapping(Leaves,Map),
replace_pt(T,Map,AT).
all_leaves_pt(T,L) :-
all(X,some_leaf_pt(T,X),L).
some_leaf_pt([s(A,[])|_],s(A,[])).
some_leaf_pt([s(A,L)|_],s(A,L)) :-
atom(L).
some_leaf_pt([s(_,L)|_],X) :-
some_leaf_pt(L,X).
some_leaf_pt([_|L],X) :-
some_leaf_pt(L,X).
all_leaflists_pt(L,[L]) :-
atomlist(L),!.
all_leaflists_pt(T,L) :-
all(X,some_leaflist_pt(T,X),L),!.
all_leaflists_pt(_,[]).
some_leaflist_pt([s(_,L)|_],L) :-
atomlist(L).
some_leaflist_pt([s(_,L)|_],X) :-
some_leaflist_pt(L,X).
some_leaflist_pt([_|L],X) :-
some_leaflist_pt(L,X).
atomlist([]).
atomlist([A|B]) :-
atom(A),
atomlist(B).
% for each subtree that will be compressed, add its name
% only introduce 'L'-based names when subtree composes elements, store these in compression/2 for printing the script
compression_mapping([],[]).
compression_mapping([First|B],[N-First|BB]) :-
(
First = s(A,[]) % subtree is literal -> use variable's name x17 from map
->
recorded(map,m(A,N),_)
;
(First = s(A,L),atom(L)) % subtree is node with single completely reduced child -> use next 'L'-based name
-> (get_next_name(N),
assertz(compression(N,s(A,L))))
;
(First = [L],atom(L)) % subtree is an OR with a single completely reduced element -> use element's name
-> N=L
;
(atomlist(First), % subtree is an OR with only (>1) completely reduced elements -> use next 'L'-based name
get_next_name(N),
assertz(compression(N,First)))
),
compression_mapping(B,BB).
% replace_pt(+T,+Map,-NT)
% given the tree-term T and the Map of Name-Subtree entries, replace each occurence of Subtree in T with Name -> result NT
replace_pt(T,[],T).
replace_pt([],_,[]).
replace_pt(L,M,R) :-
atomlist(L),
member(R-L,M),
!.
replace_pt([L|LL],[M|MM],R) :-
replace_pt_list([L|LL],[M|MM],R).
replace_pt_list([T|Tree],[M|Map],[C|Compr]) :-
replace_pt_single(T,[M|Map],C),
replace_pt_list(Tree,[M|Map],Compr).
replace_pt_list([],_,[]).
replace_pt_single(s(A,T),[M|Map],Res) :-
atomlist(T),
member(Res-s(A,T),[M|Map]),
!.
replace_pt_single(s(A,T),[M|Map],s(A,Res)) :-
atomlist(T),
member(Res-T,[M|Map]),
!.
replace_pt_single(s(A,T),[M|Map],Res) :-
member(Res-s(A,T),[M|Map]),
!.
replace_pt_single(s(A,T),[M|Map],s(A,TT)) :-
replace_pt_list(T,[M|Map],TT).
replace_pt_single(A,_,A) :-
atom(A).
%%%%%%%%%%%%
% output for script
% input argument is compressed tree, i.e. true/false or name assigned in last compression step
%%%%%%%%%%%%
output_compressed_script(false) :-
!,
format('L1 = FALSE~nL1~n',[]).
output_compressed_script(true) :-
!,
format('L1 = TRUE~nL1~n',[]).
% for each name-subtree pair, write corresponding line to script, e.g. L17 = x4 * L16
% stop after writing definition of root (last entry in compression/2), add it's name to mark end of script
output_compressed_script(T) :-
once(retract(compression(Short,Long))),
(T = Short ->
format('~w = ',[Short]),
format_compression_script(Long),
format('~w~n',[Short])
;
format('~w = ',[Short]),
format_compression_script(Long),
output_compressed_script(T)).
format_compression_script(s(A,B)) :-
recorded(map,m(A,C),_),
format('~w * ~w~n',[C,B]).
format_compression_script([A]) :-
format('~w~n',[A]).
format_compression_script([A,B|C]) :-
format('~w + ',[A]),
format_compression_script([B|C]).
%%%%%%%%%%%%%%%%%%%%%%%%
% auxiliaries for translation to BDD
%%%%%%%%%%%%%%%%%%%%%%%%
% prefix the current counter with "L"
get_next_name(Name) :-
retract(c_num(N)),
NN is N+1,
assert(c_num(NN)),
atomic_concat('L',N,Name).
% create BDD-var as fact id prefixed by x
% learning.yap relies on this format!
% when changing, also adapt test_var_name/1 below
get_var_name(A,NameA) :-
atomic_concat([x,A],NameA),
recorda(map,m(A,NameA),_).
% test used by base case of compression mapping to detect single-variable tree
% has to match above naming scheme
test_var_name(T) :-
atomic_concat(x,_,T).