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library/aggregate.pl
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/* $Id: aggregate.pl,v 1.4 2008-07-22 23:34:49 vsc Exp $
Part of SWI-Prolog
Author: Jan Wielemaker
E-mail: wielemak@science.uva.nl
WWW: http://www.swi-prolog.org
Copyright (C): 2008, University of Amsterdam
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
:- module(aggretate,
[ foreach/2, % :Generator, :Goal
aggregate/3, % +Templ, :Goal, -Result
aggregate/4, % +Templ, +Discrim, :Goal, -Result
aggregate_all/3, % +Templ, :Goal, -Result
aggregate_all/4, % +Templ, +Discrim, :Goal, -Result
free_variables/4 % :Generator, :Template, +Vars0, -Vars
]).
:- use_module(library(ordsets)).
:- use_module(library(pairs)).
:- use_module(library(error)).
:- use_module(library(lists)).
:- meta_predicate
foreach(0,0),
aggregate(?,0,-),
aggregate(?,?,0,-),
aggregate_all(?,0,-),
aggregate_all(?,?,0,-).
/** <module> Aggregation operators on backtrackable predicates
This library provides aggregating operators over the solutions of a
predicate. The operations are a generalisation of the bagof/3, setof/3
and findall/3 built-in predicates. The defined aggregation operations
are counting, computing the sum, minimum, maximum, a bag of solutions
and a set of solutions. We first give a simple example, computing the
country with the smallest area:
==
average_country_area(Name, Area) :-
aggregate(min(A, N), country(N, A), min(Area, Name)).
==
There are four aggregation predicates, distinguished on two properties.
$ aggregate vs. aggregate_all :
The aggregate predicates use setof/3 (aggregate/4) or bagof/3
(aggregate/3), dealing with existential qualified variables
(Var^Goal) and providing multiple solutions for the remaining free
variables in Goal. The aggregate_all/3 predicate uses findall/3,
implicitely qualifying all free variables and providing exactly one
solution, while aggregate_all/4 uses sort/2 over solutions and
Distinguish (see below) generated using findall/3.
$ The Distinguish argument :
The versions with 4 arguments provide a Distinguish argument that
allow for keeping duplicate bindings of a variable in the result.
For example, if we wish to compute the total population of all
countries we do not want to loose results because two countries
have the same population. Therefore we use:
==
aggregate(sum(P), Name, country(Name, P), Total)
==
All aggregation predicates support the following operator below in
Template. In addition, they allow for an arbitrary named compound term
where each of the arguments is a term from the list below. I.e. the term
r(min(X), max(X)) computes both the minimum and maximum binding for X.
* count
Count number of solutions. Same as sum(1).
* sum(Expr)
Sum of Expr for all solutions.
* min(Expr)
Minimum of Expr for all solutions.
* min(Expr, Witness)
A term min(Min, Witness), where Min is the minimal version
of Expr over all Solution and Witness is any other template
the applied to the solution that produced Min. If multiple
solutions provide the same minimum, Witness corresponds to
the first solution.
* max(Expr)
Maximum of Expr for all solutions.
* max(Expr, Witness)
As min(Expr, Witness), but producing the maximum result.
* set(X)
An ordered set with all solutions for X.
* bag(X)
A list of all solutions for X.
---+++ Acknowledgements
_|The development of this library was sponsored by SecuritEase,
http://www.securitease.com
|_
@compat Quintus, SICStus 4. The forall/2 is a SWI-Prolog built-in and
term_variables/3 is a SWI-Prolog with a *|different definition|*.
@tbd Analysing the aggregation template and compiling a predicate
for the list aggregation can be done at compile time.
@tbd aggregate_all/3 can be rewritten to run in constant space using
non-backtrackable assignment on a term.
*/
/*******************************
* AGGREGATE *
*******************************/
%% aggregate(+Template, :Goal, -Result) is nondet.
%
% Aggregate bindings in Goal according to Template. The aggregate/3
% version performs bagof/3 on Goal.
aggregate(Template, Goal0, Result) :-
template_to_pattern(bag, Template, Pattern, Goal0, Goal, Aggregate),
bagof(Pattern, Goal, List),
aggregate_list(Aggregate, List, Result).
%% aggregate(+Template, +Discriminator, :Goal, -Result) is nondet.
%
% Aggregate bindings in Goal according to Template. The aggregate/3
% version performs setof/3 on Goal.
aggregate(Template, Discriminator, Goal0, Result) :-
template_to_pattern(bag, Template, Pattern, Goal0, Goal, Aggregate),
setof(Discriminator-Pattern, Goal, Pairs),
pairs_values(Pairs, List),
aggregate_list(Aggregate, List, Result).
%% aggregate_all(+Template, :Goal, -Result) is semidet.
%
% Aggregate bindings in Goal according to Template. The aggregate_all/3
% version performs findall/3 on Goal.
aggregate_all(Template, Goal0, Result) :-
template_to_pattern(all, Template, Pattern, Goal0, Goal, Aggregate),
findall(Pattern, Goal, List),
aggregate_list(Aggregate, List, Result).
%% aggregate_all(+Template, +Discriminator, :Goal, -Result) is semidet.
%
% Aggregate bindings in Goal according to Template. The aggregate_all/3
% version performs findall/3 followed by sort/2 on Goal.
aggregate_all(Template, Discriminator, Goal0, Result) :-
template_to_pattern(all, Template, Pattern, Goal0, Goal, Aggregate),
findall(Discriminator-Pattern, Goal, Pairs0),
sort(Pairs0, Pairs),
pairs_values(Pairs, List),
aggregate_list(Aggregate, List, Result).
template_to_pattern(_All, Template, Pattern, Goal0, Goal, Aggregate) :-
template_to_pattern(Template, Pattern, Post, Vars, Aggregate),
existential_vars(Goal0, Goal1, AllVars, Vars),
clean_body((Goal1, Post), Goal2),
add_existential_vars(AllVars, Goal2, Goal).
existential_vars(Var, Var) -->
{ var(Var) }, !.
existential_vars(Var^G0, G) --> !,
[Var],
existential_vars(G0, G).
existential_vars(G, G) -->
[].
add_existential_vars([], G, G).
add_existential_vars([H|T], G0, H^G1) :-
add_existential_vars(T, G0, G1).
%% clean_body(+Goal0, -Goal) is det.
%
% Remove redundant =true= from Goal0.
clean_body((Goal0,Goal1), Goal) :- !,
clean_body(Goal0, GoalA),
clean_body(Goal1, GoalB),
( GoalA == true
-> Goal = GoalB
; GoalB == true
-> Goal = GoalA
; Goal = (GoalA,GoalB)
).
clean_body(Goal, Goal).
%% template_to_pattern(+Template, -Pattern, -Post, -Vars, -Agregate)
%
% Determine which parts of the goal we must remember in the
% findall/3 pattern.
%
% @param Post is a body-term that evaluates expressions to reduce
% storage requirements.
% @param Vars is a list of intermediate variables that must be
% added to the existential variables for bagof/3.
% @param Agregate defines the aggregation operation to execute.
template_to_pattern(sum(X), X, true, [], sum) :- var(X), !.
template_to_pattern(sum(X0), X, X is X0, [X0], sum) :- !.
template_to_pattern(count, 1, true, [], count) :- !.
template_to_pattern(min(X), X, true, [], min) :- var(X), !.
template_to_pattern(min(X0), X, X is X0, [X0], min) :- !.
template_to_pattern(min(X0, Witness), X-Witness, X is X0, [X0], min_witness) :- !.
template_to_pattern(max(X0), X, X is X0, [X0], max) :- !.
template_to_pattern(max(X0, Witness), X-Witness, X is X0, [X0], max_witness) :- !.
template_to_pattern(set(X), X, true, [], set) :- !.
template_to_pattern(bag(X), X, true, [], bag) :- !.
template_to_pattern(Term, Pattern, Goal, Vars, term(MinNeeded, Functor, AggregateArgs)) :-
compound(Term), !,
Term =.. [Functor|Args0],
templates_to_patterns(Args0, Args, Goal, Vars, AggregateArgs),
needs_one(AggregateArgs, MinNeeded),
Pattern =.. [Functor|Args].
template_to_pattern(Term, _, _, _, _) :-
type_error(aggregate_template, Term).
templates_to_patterns([], [], true, [], []).
templates_to_patterns([H0], [H], G, Vars, [A]) :- !,
template_to_pattern(H0, H, G, Vars, A).
templates_to_patterns([H0|T0], [H|T], (G0,G), Vars, [A0|A]) :-
template_to_pattern(H0, H, G0, V0, A0),
append(V0, RV, Vars),
templates_to_patterns(T0, T, G, RV, A).
%% needs_one(+Ops, -OneOrZero)
%
% If one of the operations in Ops needs at least one answer,
% unify OneOrZero to 1. Else 0.
needs_one(Ops, 1) :-
member(Op, Ops),
needs_one(Op), !.
needs_one(_, 0).
needs_one(min).
needs_one(min_witness).
needs_one(max).
needs_one(max_witness).
%% aggregate_list(+Op, +List, -Answer) is semidet.
%
% Aggregate the answer from the list produced by findall/3,
% bagof/3 or setof/3. The latter two cases deal with compound
% answers.
%
% @tbd Compile code for incremental state update, which we will use
% for aggregate_all/3 as well. We should be using goal_expansion
% to generate these clauses.
aggregate_list(bag, List0, List) :- !,
List = List0.
aggregate_list(set, List, Set) :- !,
sort(List, Set).
aggregate_list(sum, List, Sum) :-
sumlist(List, Sum).
aggregate_list(count, List, Count) :-
length(List, Count).
aggregate_list(max, List, Sum) :-
max_list(List, Sum).
aggregate_list(max_witness, List, max(Max, Witness)) :-
max_pair(List, Max, Witness).
aggregate_list(min, List, Sum) :-
min_list(List, Sum).
aggregate_list(min_witness, List, min(Min, Witness)) :-
min_pair(List, Min, Witness).
aggregate_list(term(0, Functor, Ops), List, Result) :- !,
maplist(state0, Ops, StateArgs, FinishArgs),
State0 =.. [Functor|StateArgs],
aggregate_term_list(List, Ops, State0, Result0),
finish_result(Ops, FinishArgs, Result0, Result).
aggregate_list(term(1, Functor, Ops), [H|List], Result) :-
H =.. [Functor|Args],
maplist(state1, Ops, Args, StateArgs, FinishArgs),
State0 =.. [Functor|StateArgs],
aggregate_term_list(List, Ops, State0, Result0),
finish_result(Ops, FinishArgs, Result0, Result).
aggregate_term_list([], _, State, State).
aggregate_term_list([H|T], Ops, State0, State) :-
step_term(Ops, H, State0, State1),
aggregate_term_list(T, Ops, State1, State).
%% min_pair(+Pairs, -Key, -Value) is det.
%% max_pair(+Pairs, -Key, -Value) is det.
%
% True if Key-Value has the smallest/largest key in Pairs. If
% multiple pairs share the smallest/largest key, the first pair is
% returned.
min_pair([M0-W0|T], M, W) :-
min_pair(T, M0, W0, M, W).
min_pair([], M, W, M, W).
min_pair([M0-W0|T], M1, W1, M, W) :-
( M0 > M1
-> min_pair(T, M0, W0, M, W)
; min_pair(T, M1, W1, M, W)
).
max_pair([M0-W0|T], M, W) :-
max_pair(T, M0, W0, M, W).
max_pair([], M, W, M, W).
max_pair([M0-W0|T], M1, W1, M, W) :-
( M0 > M1
-> max_pair(T, M0, W0, M, W)
; max_pair(T, M1, W1, M, W)
).
%% step(+AggregateAction, +New, +State0, -State1).
step(bag, X, [X|L], L).
step(set, X, [X|L], L).
step(count, _, X0, X1) :-
succ(X0, X1).
step(sum, X, X0, X1) :-
X1 is X0+X.
step(max, X, X0, X1) :-
X1 is max(X0, X).
step(min, X, X0, X1) :-
X1 is min(X0, X).
step(max_witness, X-W, X0-W0, X1-W1) :-
( X > X0
-> X1 = X, W1 = W
; X1 = X0, W1 = W0
).
step(min_witness, X-W, X0-W0, X1-W1) :-
( X < X0
-> X1 = X, W1 = W
; X1 = X0, W1 = W0
).
step(term(Ops), Row, Row0, Row1) :-
step_term(Ops, Row, Row0, Row1).
step_term(Ops, Row, Row0, Row1) :-
functor(Row, Name, Arity),
functor(Row1, Name, Arity),
step_list(Ops, 1, Row, Row0, Row1).
step_list([], _, _, _, _).
step_list([Op|OpT], Arg, Row, Row0, Row1) :-
arg(Arg, Row, X),
arg(Arg, Row0, X0),
arg(Arg, Row1, X1),
step(Op, X, X0, X1),
succ(Arg, Arg1),
step_list(OpT, Arg1, Row, Row0, Row1).
finish_result(Ops, Finish, R0, R) :-
functor(R0, Functor, Arity),
functor(R, Functor, Arity),
finish_result(Ops, Finish, 1, R0, R).
finish_result([], _, _, _, _).
finish_result([Op|OpT], [F|FT], I, R0, R) :-
arg(I, R0, A0),
arg(I, R, A),
finish_result1(Op, F, A0, A),
succ(I, I2),
finish_result(OpT, FT, I2, R0, R).
finish_result1(bag, Bag0, [], Bag) :- !,
Bag = Bag0.
finish_result1(set, Bag, [], Set) :- !,
sort(Bag, Set).
finish_result1(max_witness, _, M-W, R) :- !,
R = max(M,W).
finish_result1(min_witness, _, M-W, R) :- !,
R = min(M,W).
finish_result1(_, _, A, A).
%% state0(+Op, -State, -Finish)
state0(bag, L, L).
state0(set, L, L).
state0(count, 0, _).
state0(sum, 0, _).
%% state1(+Op, +First, -State, -Finish)
state1(bag, X, [X|L], L).
state1(set, X, [X|L], L).
state1(_, X, X, _).
/*******************************
* FOREACH *
*******************************/
%% foreach(:Generator, :Goal)
%
% True if the conjunction of instances of Goal using the bindings
% from Generator is true. Unlike forall/2, which runs a
% failure-driven loop that proves Goal for each solution of
% Generator, foreach creates a conjunction. Each member of the
% conjunction is a copy of Goal, where the variables it shares
% with Generator are filled with the values from the corresponding
% solution.
%
% The implementation executes forall/2 if Goal does not contain
% any variables that are not shared with Generator.
%
% Here is an example:
%
% ==
% ?- foreach(between(1,4,X), dif(X,Y)), Y = 5.
% Y = 5
% ?- foreach(between(1,4,X), dif(X,Y)), Y = 3.
% No
% ==
%
% @bug Goal is copied repeatetly, which may cause problems if
% attributed variables are involved.
foreach(Generator, Goal0) :-
strip_module(Goal0, M, G),
Goal = M:G,
term_variables(Generator, GenVars0), sort(GenVars0, GenVars),
term_variables(Goal, GoalVars0), sort(GoalVars0, GoalVars),
ord_subtract(GoalVars, GenVars, SharedGoalVars),
( SharedGoalVars == []
-> \+ (Generator, \+Goal) % = forall(Generator, Goal)
; ord_intersection(GenVars, GoalVars, SharedVars),
Templ =.. [v|SharedVars],
SharedTempl =.. [v|SharedGoalVars],
findall(Templ, Generator, List),
prove_list(List, Templ, SharedTempl, Goal)
).
prove_list([], _, _, _).
prove_list([H|T], Templ, SharedTempl, Goal) :-
copy_term(Templ+SharedTempl+Goal,
H+SharedTempl+Copy),
Copy,
prove_list(T, Templ, SharedTempl, Goal).
%% free_variables(:Generator, +Template, +VarList0, -VarList) is det.
%
% In order to handle variables properly, we have to find all the
% universally quantified variables in the Generator. All variables
% as yet unbound are universally quantified, unless
%
% 1. they occur in the template
% 2. they are bound by X^P, setof, or bagof
%
% free_variables(Generator, Template, OldList, NewList) finds this
% set, using OldList as an accumulator.
%
% @author Richard O'Keefe
% @author Jan Wielemaker (made some SWI-Prolog enhancements)
% @license Public domain (from DEC10 library).
% @tbd Distinguish between control-structures and data terms.
% @tbd Exploit our built-in term_variables/2 at some places?
free_variables(Term, Bound, VarList, [Term|VarList]) :-
var(Term),
term_is_free_of(Bound, Term),
list_is_free_of(VarList, Term), !.
free_variables(Term, _Bound, VarList, VarList) :-
var(Term), !.
free_variables(Term, Bound, OldList, NewList) :-
explicit_binding(Term, Bound, NewTerm, NewBound), !,
free_variables(NewTerm, NewBound, OldList, NewList).
free_variables(Term, Bound, OldList, NewList) :-
functor(Term, _, N),
free_variables(N, Term, Bound, OldList, NewList).
free_variables(0, _, _, VarList, VarList) :- !.
free_variables(N, Term, Bound, OldList, NewList) :-
arg(N, Term, Argument),
free_variables(Argument, Bound, OldList, MidList),
M is N-1, !,
free_variables(M, Term, Bound, MidList, NewList).
% explicit_binding checks for goals known to existentially quantify
% one or more variables. In particular \+ is quite common.
explicit_binding(\+ _Goal, Bound, fail, Bound ) :- !.
explicit_binding(not(_Goal), Bound, fail, Bound ) :- !.
explicit_binding(Var^Goal, Bound, Goal, Bound+Var) :- !.
explicit_binding(setof(Var,Goal,Set), Bound, Goal-Set, Bound+Var) :- !.
explicit_binding(bagof(Var,Goal,Bag), Bound, Goal-Bag, Bound+Var) :- !.
%% term_is_free_of(+Term, +Var) is semidet.
%
% True if Var does not appear in Term. This has been rewritten
% from the DEC10 library source to exploit our non-deterministic
% arg/3.
term_is_free_of(Term, Var) :-
\+ var_in_term(Term, Var).
var_in_term(Term, Var) :-
Var == Term, !.
var_in_term(Term, Var) :-
compound(Term),
genarg(_, Term, Arg),
var_in_term(Arg, Var), !.
%% list_is_free_of(+List, +Var) is semidet.
%
% True if Var is not in List.
list_is_free_of([Head|Tail], Var) :-
Head \== Var, !,
list_is_free_of(Tail, Var).
list_is_free_of([], _).
% term_variables(+Term, +Vars0, -Vars) is det.
%
% True if Vars is the union of variables in Term and Vars0.
% We cannot have this as term_variables/3 is already defined
% as a difference-list version of term_variables/2.
%term_variables(Term, Vars0, Vars) :-
% term_variables(Term+Vars0, Vars).

89
library/clp/clp_events.pl
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/* $Id$
Part of SWI-Prolog
Author: Tom Schrijvers
E-mail: tom.schrijvers@cs.kuleuven.ac.be
WWW: http://www.swi-prolog.org
Copyright (C): 2005, K.U.Leuven
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Module for managing constraint solver events.
%
% Author: Tom Schrijvers
% E-mail: tom.schrijvers@cs.kuleuven.ac.be
% Copyright: 2005, K.U.Leuven
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:-module(clp_events,
[
notify/2,
subscribe/4,
unsubscribe/2
]).
notify(V,NMod) :-
( get_attr(V,clp_events,List) ->
notify_list(List,NMod)
;
true
).
subscribe(V,NMod,SMod,Goal) :-
( get_attr(V,clp_events,List) ->
put_attr(V,clp_events,[entry(NMod,SMod,Goal)|List])
;
put_attr(V,clp_events,[entry(NMod,SMod,Goal)])
).
unsubscribe(V,SMod) :-
( get_attr(V,clp_events,List) ->
unsubscribe_list(List,SMod,NList),
put_attr(V,clp_events,NList)
;
true
).
notify_list([],_).
notify_list([entry(Mod,_,Goal)|Rest],NMod) :-
( Mod == NMod ->
call(Goal)
;
true
),
notify_list(Rest,NMod).
unsubscribe_list([],_,_).
unsubscribe_list([Entry|Rest],SMod,List) :-
Entry = entry(_,Mod,_),
( Mod == SMod ->
List = Rest
;
List = [Entry|Tail],
unsubscribe_list(Rest,SMod,Tail)
).
attr_unify_hook(_,_).

141
library/occurs.yap
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/* $Id: occurs.yap,v 1.1 2008-02-12 17:03:52 vsc Exp $
Part of SWI-Prolog
Author: Jan Wielemaker
E-mail: jan@swi.psy.uva.nl
WWW: http://www.swi-prolog.org
Copyright (C): 1985-2002, University of Amsterdam
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
:- module(occurs,
[ contains_term/2, % +SubTerm, +Term
contains_var/2, % +SubTerm, +Term
free_of_term/2, % +SubTerm, +Term
free_of_var/2, % +SubTerm, +Term
occurrences_of_term/3, % +SubTerm, +Term, ?Tally
occurrences_of_var/3, % +SubTerm, +Term, ?Tally
sub_term/2, % -SubTerm, +Term
sub_var/2 % -SubTerm, +Term (SWI extra)
]).
:- use_module(library(arg),
[genarg/3]).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
This is a SWI-Prolog implementation of the corresponding Quintus
library, based on the generalised arg/3 predicate of SWI-Prolog.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
%% contains_term(+Sub, +Term) is semidet.
%
% Succeeds if Sub is contained in Term (=, deterministically)
contains_term(X, X) :- !.
contains_term(X, Term) :-
compound(Term),
genarg(_, Term, Arg),
contains_term(X, Arg), !.
%% contains_var(+Sub, +Term) is det.
%
% Succeeds if Sub is contained in Term (==, deterministically)
contains_var(X0, X1) :-
X0 == X1, !.
contains_var(X, Term) :-
compound(Term),
genarg(_, Term, Arg),
contains_var(X, Arg), !.
%% free_of_term(+Sub, +Term)
%
% Succeeds of Sub does not unify to any subterm of Term
free_of_term(Sub, Term) :-
\+ contains_term(Sub, Term).
%% free_of_var(+Sub, +Term)
%
% Succeeds of Sub is not equal (==) to any subterm of Term
free_of_var(Sub, Term) :-
\+ contains_var(Sub, Term).
%% occurrences_of_term(+SubTerm, +Term, ?Count)
%
% Count the number of SubTerms in Term
occurrences_of_term(Sub, Term, Count) :-
count(sub_term(Sub, Term), Count).
%% occurrences_of_var(+SubTerm, +Term, ?Count)
%
% Count the number of SubTerms in Term
occurrences_of_var(Sub, Term, Count) :-
count(sub_var(Sub, Term), Count).
%% sub_term(-Sub, +Term)
%
% Generates (on backtracking) all subterms of Term.
sub_term(X, X).
sub_term(X, Term) :-
compound(Term),
genarg(_, Term, Arg),
sub_term(X, Arg).
%% sub_var(-Sub, +Term)
%
% Generates (on backtracking) all subterms (==) of Term.
sub_var(X0, X1) :-
X0 == X1.
sub_var(X, Term) :-
compound(Term),
genarg(_, Term, Arg),
sub_var(X, Arg).
/*******************************
* UTIL *
*******************************/
%% count(+Goal, -Count)
%
% Count number of times Goal succeeds.
count(Goal, Count) :-
State = count(0),
( Goal,
arg(1, State, N0),
N is N0 + 1,
nb_setarg(1, State, N),
fail
; arg(1, State, Count)
).

162
library/pairs.pl
View File

@@ -1,162 +0,0 @@
/* $Id: pairs.pl,v 1.1 2008-02-12 17:03:52 vsc Exp $
Part of SWI-Prolog
Author: Jan Wielemaker
E-mail: wielemak@science.uva.nl
WWW: http://www.swi-prolog.org
Copyright (C): 1985-2006, University of Amsterdam
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
:- module(pairs,
[ pairs_keys_values/3,
pairs_values/2,
pairs_keys/2,
group_pairs_by_key/2,
transpose_pairs/2,
map_list_to_pairs/3
]).
/** <module> Operations on key-value lists
This module implements common operations on Key-Value lists, also known
as _Pairs_. Pairs have great practical value, especially due to
keysort/2 and the library assoc.pl.
This library is based on disussion in the SWI-Prolog mailinglist,
including specifications from Quintus and a library proposal by Richard
O'Keefe.
@see keysort/2, library(assoc)
@author Jan Wielemaker
*/
%% pairs_keys_values(?Pairs, ?Keys, ?Values) is det.
%
% True if Keys holds the keys of Pairs and Values the values.
%
% Deterministic if any argument is instantiated to a finite list
% and the others are either free or finite lists.
pairs_keys_values(Pairs, Keys, Values) :-
( nonvar(Pairs) ->
pairs_keys_values_(Pairs, Keys, Values)
; nonvar(Keys) ->
keys_values_pairs(Keys, Values, Pairs)
; values_keys_pairs(Values, Keys, Pairs)
).
pairs_keys_values_([], [], []).
pairs_keys_values_([K-V|Pairs], [K|Keys], [V|Values]) :-
pairs_keys_values_(Pairs, Keys, Values).
keys_values_pairs([], [], []).
keys_values_pairs([K|Ks], [V|Vs], [K-V|Pairs]) :-
keys_values_pairs(Ks, Vs, Pairs).
values_keys_pairs([], [], []).
values_keys_pairs([V|Vs], [K|Ks], [K-V|Pairs]) :-
values_keys_pairs(Vs, Ks, Pairs).
%% pairs_values(+Pairs, -Values) is det.
%
% Remove the keys from a list of Key-Value pairs. Same as
% pairs_keys_values(Pairs, _, Values)
pairs_values([], []).
pairs_values([_-V|T0], [V|T]) :-
pairs_values(T0, T).
%% pairs_keys(+Pairs, -Keys) is det.
%
% Remove the values from a list of Key-Value pairs. Same as
% pairs_keys_values(Pairs, Keys, _)
pairs_keys([], []).
pairs_keys([K-_|T0], [K|T]) :-
pairs_keys(T0, T).
%% group_pairs_by_key(+Pairs, -Joined:list(Key-Values)) is det.
%
% Group values with the same key. For example:
%
% ==
% ?- group_pairs_by_key([a-2, a-1, b-4], X).
%
% X = [a-[2,1], b-[4]]
% ==
%
% @param Pairs Key-Value list, sorted to the standard order
% of terms (as keysort/2 does)
% @param Joined List of Key-Group, where Group is the
% list of Values associated with Key.
group_pairs_by_key([], []).
group_pairs_by_key([M-N|T0], [M-[N|TN]|T]) :-
same_key(M, T0, TN, T1),
group_pairs_by_key(T1, T).
same_key(M, [M-N|T0], [N|TN], T) :- !,
same_key(M, T0, TN, T).
same_key(_, L, [], L).
%% transpose_pairs(+Pairs, -Transposed) is det.
%
% Swap Key-Value to Value-Key and sort the result on Value
% (the new key) using keysort/2.
transpose_pairs(Pairs, Transposed) :-
flip_pairs(Pairs, Flipped),
keysort(Flipped, Transposed).
flip_pairs([], []).
flip_pairs([Key-Val|Pairs], [Val-Key|Flipped]) :-
flip_pairs(Pairs, Flipped).
%% map_list_to_pairs(:Function, +List, -Keyed)
%
% Create a key-value list by mapping each element of List.
% For example, if we have a list of lists we can create a
% list of Length-List using
%
% ==
% map_list_to_pairs(length, ListOfLists, Pairs),
% ==
:- module_transparent
map_list_to_pairs/3,
map_list_to_pairs2/3.
map_list_to_pairs(Function, List, Pairs) :-
map_list_to_pairs2(List, Function, Pairs).
map_list_to_pairs2([], _, []).
map_list_to_pairs2([H|T0], Pred, [K-H|T]) :-
call(Pred, H, K),
map_list_to_pairs2(T0, Pred, T).

32
swi/console/clp/Makefile.in
View File

@@ -1,32 +0,0 @@
#
# default base directory for YAP installation
#
ROOTDIR = @prefix@
#
# where the binary should be
#
BINDIR = $(ROOTDIR)/bin
#
# where YAP should look for binary libraries
#
LIBDIR=@libdir@/Yap
#
# where YAP should look for architecture-independent Prolog libraries
#
SHAREDIR=$(ROOTDIR)/share
#
#
# You shouldn't need to change what follows.
#
INSTALL=@INSTALL@
INSTALL_DATA=@INSTALL_DATA@
INSTALL_PROGRAM=@INSTALL_PROGRAM@
srcdir=@srcdir@
PROGRAMS= $(srcdir)/clp_events.pl
install: $(PROGRAMS)
mkdir -p $(DESTDIR)$(SHAREDIR)/Yap
mkdir -p $(DESTDIR)$(SHAREDIR)/Yap/clp
for p in $(PROGRAMS); do $(INSTALL_DATA) $$p $(DESTDIR)$(SHAREDIR)/Yap/clp; done

89
swi/console/clp/clp_events.pl
View File

@@ -1,89 +0,0 @@
/* $Id: clp_events.pl,v 1.1 2005-10-28 17:53:27 vsc Exp $
Part of SWI-Prolog
Author: Tom Schrijvers
E-mail: tom.schrijvers@cs.kuleuven.ac.be
WWW: http://www.swi-prolog.org
Copyright (C): 2005, K.U.Leuven
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Module for managing constraint solver events.
%
% Author: Tom Schrijvers
% E-mail: tom.schrijvers@cs.kuleuven.ac.be
% Copyright: 2005, K.U.Leuven
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:-module(clp_events,
[
notify/2,
subscribe/4,
unsubscribe/2
]).
notify(V,NMod) :-
( get_attr(V,clp_events,List) ->
notify_list(List,NMod)
;
true
).
subscribe(V,NMod,SMod,Goal) :-
( get_attr(V,clp_events,List) ->
put_attr(V,clp_events,[entry(NMod,SMod,Goal)|List])
;
put_attr(V,clp_events,[entry(NMod,SMod,Goal)])
).
unsubscribe(V,SMod) :-
( get_attr(V,clp_events,List) ->
unsubscribe_list(List,SMod,NList),
put_attr(V,clp_events,NList)
;
true
).
notify_list([],_).
notify_list([entry(Mod,_,Goal)|Rest],NMod) :-
( Mod == NMod ->
call(Goal)
;
true
),
notify_list(Rest,NMod).
unsubscribe_list([],_,_).
unsubscribe_list([Entry|Rest],SMod,List) :-
Entry = entry(_,Mod,_),
( Mod == SMod ->
List = Rest
;
List = [Entry|Tail],
unsubscribe_list(Rest,SMod,Tail)
).
attr_unify_hook(_,_).

1
swi/library/Makefile.in
View File

@@ -34,7 +34,6 @@ PROGRAMS= \
$(srcdir)/edit.pl \
$(srcdir)/error.pl \
$(srcdir)/main.pl \
$(srcdir)/maplist.pl \
$(srcdir)/menu.pl \
$(srcdir)/nb_set.pl \
$(srcdir)/occurs.yap \

103
swi/library/maplist.pl
View File

@@ -1,103 +0,0 @@
/* $Id: maplist.pl,v 1.2 2008-06-05 19:33:51 rzf Exp $
Part of SWI-Prolog
Author: Jan Wielemaker
E-mail: jan@swi.psy.uva.nl
WWW: http://www.swi-prolog.org
Copyright (C): 1985-2002, University of Amsterdam
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
As a special exception, if you link this library with other files,
compiled with a Free Software compiler, to produce an executable, this
library does not by itself cause the resulting executable to be covered
by the GNU General Public License. This exception does not however
invalidate any other reasons why the executable file might be covered by
the GNU General Public License.
*/
:- module(maplist,
[ maplist/2, % :Goal, +List
maplist/3, % :Goal, ?List1, ?List2
maplist/4, % :Goal, ?List1, ?List2, ?List3
maplist/5, % :Goal, ?List1, ?List2, ?List3, List4
forall/2 % :Goal, :Goal
]).
:- module_transparent
maplist/2,
maplist2/2,
maplist/3,
maplist2/3,
maplist/4,
maplist2/4,
maplist/5,
maplist2/5,
forall/2.
% maplist(:Goal, +List)
%
% True if Goal can succesfully be applied on all elements of List.
% Arguments are reordered to gain performance as well as to make
% the predicate deterministic under normal circumstances.
maplist(Goal, List) :-
maplist2(List, Goal).
maplist2([], _).
maplist2([Elem|Tail], Goal) :-
call(Goal, Elem),
maplist2(Tail, Goal).
% maplist(:Goal, ?List1, ?List2)
%
% True if Goal can succesfully be applied to all succesive pairs
% of elements of List1 and List2.
maplist(Goal, List1, List2) :-
maplist2(List1, List2, Goal).
maplist2([], [], _).
maplist2([Elem1|Tail1], [Elem2|Tail2], Goal) :-
call(Goal, Elem1, Elem2),
maplist2(Tail1, Tail2, Goal).
% maplist(:Goal, ?List1, ?List2, ?List3)
%
% True if Goal can succesfully be applied to all succesive triples
% of elements of List1..List3.
maplist(Goal, List1, List2, List3) :-
maplist2(List1, List2, List3, Goal).
maplist2([], [], [], _).
maplist2([Elem1|Tail1], [Elem2|Tail2], [Elem3|Tail3], Goal) :-
call(Goal, Elem1, Elem2, Elem3),
maplist2(Tail1, Tail2, Tail3, Goal).
% maplist(:Goal, ?List1, ?List2, ?List3, List4)
%
% True if Goal can succesfully be applied to all succesive
% quadruples of elements of List1..List4
maplist(Goal, List1, List2, List3, List4) :-
maplist2(List1, List2, List3, List4, Goal).
maplist2([], [], [], [], _).
maplist2([Elem1|Tail1], [Elem2|Tail2], [Elem3|Tail3], [Elem4|Tail4], Goal) :-
call(Goal, Elem1, Elem2, Elem3, Elem4),
maplist2(Tail1, Tail2, Tail3, Tail4, Goal).