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yap-6.3/library/clp/clpfd.pl
Vítor Santos Costa 3009987985 update docs
2014-09-11 14:06:57 -05:00

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/* $Id$
Part of SWI-Prolog
Author: Markus Triska
E-mail: triska@gmx.at
WWW: http://www.swi-prolog.org
Copyright (C): 2007-2010 Markus Triska
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.
*/
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Thanks to Tom Schrijvers for his "bounds.pl", the first finite
domain constraint solver included with SWI-Prolog. I've learned a
lot from it and could even use some of the code for this solver.
The propagation queue idea is taken from "prop.pl", a prototype
solver also written by Tom. Highlights of the present solver:
Symbolic constants for infinities
---------------------------------
?- X #>= 0, Y #=< 0.
%@ X in 0..sup,
%@ Y in inf..0.
No artificial limits (using GMP)
---------------------------------
?- N is 2^66, X #\= N.
%@ N = 73786976294838206464,
%@ X in inf..73786976294838206463\/73786976294838206465..sup.
Often stronger propagation
---------------------------------
?- Y #= abs(X), Y #\= 3, Z * Z #= 4.
%@ Y in 0..2\/4..sup,
%@ Y#=abs(X),
%@ X in inf.. -4\/ -2..2\/4..sup,
%@ Z in -2\/2.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Many things can be improved; if you need any additional features or
want to help, please e-mail me. A good starting point is taking a
propagation algorithm from the literature and adding it.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/** @pred _X_ #< _B_ is det
reified implication
As an example. consider finding out the people who wanted to sit
next to a friend and that are are actually sitting together:
~~~~~{.prolog}
preference_satisfied(X-Y, B) :-
abs(X - Y) #= 1 #<==> B.
~~~~~
Note that not all constraints may be reifiable.
*/
/** @pred _X_ #< _Y_ is semidet
smaller or equal
Arguments to this constraint may be an arithmetic expression with <tt>+</tt>,
<tt>-</tt>, <tt>\\*</tt>, integer division <tt>/</tt>, <tt>min</tt>, <tt>max</tt>, <tt>sum</tt>,
<tt>count</tt>, and
<tt>abs</tt>. Boolean variables support conjunction (/\), disjunction (\/),
implication (=>), equivalence (<=>), and xor. The <tt>sum</tt> constraint allows a two argument version using the
`where` conditional, in Zinc style.
The send more money equation may be written as:
~~~~~{.prolog}
1000*S + 100*E + 10*N + D +
1000*M + 100*O + 10*R + E #=
10000*M + 1000*O + 100*N + 10*E + Y,
~~~~~
This example uses `where` to select from
column _I_ the elements that have value under _M_:
~~~~~{.prolog}
OutFlow[I] #= sum(J in 1..N where D[J,I]<M, X[J,I])
~~~~~
The <tt>count</tt> constraint counts the number of elements that match a
certain constant or variable (integer sets are not available).
*/
/** @pred _X_ #<==> _B_ is det
reified equivalence
*/
/** @pred _X_ #= _Y_ is semidet
equality
*/
/** @pred _X_ #=< _Y_ is semidet
smaller
*/
/** @pred _X_ #==> _B_ is det
Reified implication
*/
/** @pred _X_ #> _Y_ is semidet
larger
*/
/** @pred _X_ #>= _Y_ is semidet
larger or equal
*/
/** @pred _X_ #\= _Y_ is semidet
disequality
*/
/** @pred all_different( _Vs_ )
Verifies whether all elements of a list are different.
*/
/** @pred labeling( _Opts_, _Xs_)
performs labeling, several variable and value selection options are
available. The defaults are `min` and `min_step`.
Variable selection options are as follows:
+ leftmost
choose the first variable
+ min
choose one of the variables with smallest minimum value
+ max
choose one of the variables with greatest maximum value
+ ff
choose one of the most constrained variables, that is, with the smallest
domain.
Given that we selected a variable, the values chosen for branching may
be:
+ min_step
smallest value
+ max_step
largest value
+ bisect
median
+ enum
all value starting from the minimum.
*/
/** @pred scalar_product(+ _Cs_, + _Vs_, + _Rel_, ? _V_ )
The product of constant _Cs_ by _Vs_ must be in relation
_Rel_ with _V_ .
*/
/** @pred transpose(+ _Graph_, - _NewGraph_)
Unify _NewGraph_ with a new graph obtained from _Graph_ by
replacing all edges of the form _V1-V2_ by edges of the form
_V2-V1_. The cost is `O(|V|^2)`. In the next example:
~~~~~{.prolog}
?- transpose([1-[3,5],2-[4],3-[],
4-[5],5-[],6-[],7-[],8-[]], NL).
NL = [1-[],2-[],3-[1],4-[2],5-[1,4],6-[],7-[],8-[]]
~~~~~
Notice that an undirected graph is its own transpose.
*/
:- module(clpfd, [
op(760, yfx, #<==>),
op(750, xfy, #==>),
op(750, yfx, #<==),
op(740, yfx, #\/),
op(730, yfx, #\),
op(720, yfx, #/\),
op(710, fy, #\),
op(700, xfx, #>),
op(700, xfx, #<),
op(700, xfx, #>=),
op(700, xfx, #=<),
op(700, xfx, #=),
op(700, xfx, #\=),
op(700, xfx, in),
op(700, xfx, ins),
op(450, xfx, ..), % should bind more tightly than \/
(#>)/2,
(#<)/2,
(#>=)/2,
(#=<)/2,
(#=)/2,
(#\=)/2,
(#\)/1,
(#<==>)/2,
(#==>)/2,
(#<==)/2,
(#\/)/2,
(#/\)/2,
in/2,
ins/2,
all_different/1,
all_distinct/1,
sum/3,
scalar_product/4,
tuples_in/2,
labeling/2,
label/1,
indomain/1,
lex_chain/1,
serialized/2,
global_cardinality/2,
global_cardinality/3,
circuit/1,
element/3,
automaton/3,
automaton/8,
transpose/2,
zcompare/3,
chain/2,
fd_var/1,
fd_inf/2,
fd_sup/2,
fd_size/2,
fd_dom/2
]).
:- expects_dialect(swi).
:- use_module(library(assoc)).
:- use_module(library(apply)).
:- use_module(library(error)).
:- use_module(library(lists)).
:- use_module(library(pairs)).
:- op(700, xfx, cis).
:- op(700, xfx, cis_geq).
:- op(700, xfx, cis_gt).
:- op(700, xfx, cis_leq).
:- op(700, xfx, cis_lt).
/** <module> Constraint Logic Programming over Finite Domains
Constraint programming is a declarative formalism that lets you
describe conditions a solution must satisfy. This library provides
CLP(FD), Constraint Logic Programming over Finite Domains. It can be
used to model and solve various combinatorial problems such as
planning, scheduling and allocation tasks.
Most predicates of this library are finite domain _constraints_, which
are relations over integers. They generalise arithmetic evaluation of
integer expressions in that propagation can proceed in all directions.
This library also provides _enumeration_ _predicates_, which let you
systematically search for solutions on variables whose domains have
become finite. A finite domain _expression_ is one of:
| an integer | Given value |
| a variable | Unknown value |
| -Expr | Unary minus |
| Expr + Expr | Addition |
| Expr * Expr | Multiplication |
| Expr - Expr | Subtraction |
| min(Expr,Expr) | Minimum of two expressions |
| max(Expr,Expr) | Maximum of two expressions |
| Expr mod Expr | Remainder of integer division |
| abs(Expr) | Absolute value |
| Expr / Expr | Integer division |
The most important finite domain constraints are:
| Expr1 #>= Expr2 | Expr1 is larger than or equal to Expr2 |
| Expr1 #=< Expr2 | Expr1 is smaller than or equal to Expr2 |
| Expr1 #= Expr2 | Expr1 equals Expr2 |
| Expr1 #\= Expr2 | Expr1 is not equal to Expr2 |
| Expr1 #> Expr2 | Expr1 is strictly larger than Expr2 |
| Expr1 #< Expr2 | Expr1 is strictly smaller than Expr2 |
The constraints in/2, #=/2, #\=/2, #</2, #>/2, #=</2, and #>=/2 can be
_reified_, which means reflecting their truth values into Boolean
values represented by the integers 0 and 1. Let P and Q denote
reifiable constraints or Boolean variables, then:
| #\ Q | True iff Q is false |
| P #\/ Q | True iff either P or Q |
| P #/\ Q | True iff both P and Q |
| P #<==> Q | True iff P and Q are equivalent |
| P #==> Q | True iff P implies Q |
| P #<== Q | True iff Q implies P |
The constraints of this table are reifiable as well. If a variable
occurs at the place of a constraint that is being reified, it is
implicitly constrained to the Boolean values 0 and 1. Therefore, the
following queries all fail: ?- #\ 2., ?- #\ #\ 2. etc.
A common usage of this library is to first post the desired
constraints among the variables of a model, and then to use
enumeration predicates to search for solutions. As an example of a
constraint satisfaction problem, consider the cryptoarithmetic puzzle
SEND + MORE = MONEY, where different letters denote distinct integers
between 0 and 9. It can be modeled in CLP(FD) as follows:
==
:- use_module(library(clpfd)).
puzzle([S,E,N,D] + [M,O,R,E] = [M,O,N,E,Y]) :-
Vars = [S,E,N,D,M,O,R,Y],
Vars ins 0..9,
all_different(Vars),
S*1000 + E*100 + N*10 + D +
M*1000 + O*100 + R*10 + E #=
M*10000 + O*1000 + N*100 + E*10 + Y,
M #\= 0, S #\= 0.
==
Sample query and its result:
==
?- puzzle(As+Bs=Cs).
As = [9, _G10107, _G10110, _G10113],
Bs = [1, 0, _G10128, _G10107],
Cs = [1, 0, _G10110, _G10107, _G10152],
_G10107 in 4..7,
1000*9+91*_G10107+ -90*_G10110+_G10113+ -9000*1+ -900*0+10*_G10128+ -1*_G10152#=0,
all_different([_G10107, _G10110, _G10113, _G10128, _G10152, 0, 1, 9]),
_G10110 in 5..8,
_G10113 in 2..8,
_G10128 in 2..8,
_G10152 in 2..8.
==
Here, the constraint solver has deduced more stringent bounds for all
variables. Keeping the modeling part separate from the search lets you
view these residual goals, observe termination and determinism
properties of the modeling part in isolation from the search, and more
easily experiment with different search strategies. Labeling can then
be used to search for solutions:
==
?- puzzle(As+Bs=Cs), label(As).
As = [9, 5, 6, 7],
Bs = [1, 0, 8, 5],
Cs = [1, 0, 6, 5, 2] ;
false.
==
In this case, it suffices to label a subset of variables to find the
puzzle's unique solution, since the constraint solver is strong enough
to reduce the domains of remaining variables to singleton sets. In
general though, it is necessary to label all variables to obtain
ground solutions.
You can also use CLP(FD) constraints as a more declarative alternative
for ordinary integer arithmetic with is/2, >/2 etc. For example:
==
:- use_module(library(clpfd)).
fac(0, 1).
fac(N, F) :- N #> 0, N1 #= N - 1, F #= N * F1, fac(N1, F1).
==
This predicate can be used in all directions. For example:
==
?- fac(47, F).
F = 258623241511168180642964355153611979969197632389120000000000 ;
false.
?- fac(N, 1).
N = 0 ;
N = 1 ;
false.
?- fac(N, 3).
false.
==
To make the predicate terminate if any argument is instantiated, add
the (implied) constraint F #\= 0 before the recursive call. Otherwise,
the query fac(N, 0) is the only non-terminating case of this kind.
This library uses goal_expansion/2 to rewrite constraints at
compilation time. The expansion's aim is to transparently bring the
performance of CLP(FD) constraints close to that of conventional
arithmetic predicates (</2, =:=/2, is/2 etc.) when the constraints are
used in modes that can also be handled by built-in arithmetic. To
disable the expansion, set the flag clpfd_goal_expansion to false.
Use call_residue_vars/2 and copy_term/3 to inspect residual goals and
the constraints in which a variable is involved. This library also
provides _reflection_ predicates (like fd_dom/2, fd_size/2 etc.) with
which you can inspect a variable's current domain. These predicates
can be useful if you want to implement your own labeling strategies.
You can also define custom constraints. The mechanism to do this is
not yet finalised, and we welcome suggestions and descriptions of use
cases that are important to you. As an example of how it can be done
currently, let us define a new custom constraint "oneground(X,Y,Z)",
where Z shall be 1 if at least one of X and Y is instantiated:
==
:- use_module(library(clpfd)).
:- multifile clpfd:run_propagator/2.
oneground(X, Y, Z) :-
clpfd:make_propagator(oneground(X, Y, Z), Prop),
clpfd:init_propagator(X, Prop),
clpfd:init_propagator(Y, Prop),
clpfd:trigger_once(Prop).
clpfd:run_propagator(oneground(X, Y, Z), MState) :-
( integer(X) -> clpfd:kill(MState), Z = 1
; integer(Y) -> clpfd:kill(MState), Z = 1
; true
).
==
First, clpfd:make_propagator/2 is used to transform a user-defined
representation of the new constraint to an internal form. With
clpfd:init_propagator/2, this internal form is then attached to X and
Y. From now on, the propagator will be invoked whenever the domains of
X or Y are changed. Then, clpfd:trigger_once/1 is used to give the
propagator its first chance for propagation even though the variables'
domains have not yet changed. Finally, clpfd:run_propagator/2 is
extended to define the actual propagator. As explained, this predicate
is automatically called by the constraint solver. The first argument
is the user-defined representation of the constraint as used in
clpfd:make_propagator/2, and the second argument is a mutable state
that can be used to prevent further invocations of the propagator when
the constraint has become entailed, by using clpfd:kill/1. An example
of using the new constraint:
==
?- oneground(X, Y, Z), Y = 5.
Y = 5,
Z = 1,
X in inf..sup.
==
@author Markus Triska
*/
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
A bound is either:
n(N): integer N
inf: infimum of Z (= negative infinity)
sup: supremum of Z (= positive infinity)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
is_bound(n(N)) :- integer(N).
is_bound(inf).
is_bound(sup).
defaulty_to_bound(D, P) :- ( integer(D) -> P = n(D) ; P = D ).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Compactified is/2 and predicates for several arithmetic expressions
with infinities, tailored for the modes needed by this solver.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
% cis_gt only works for terms of depth 0 on both sides
cis_gt(n(N), B) :- cis_gt_numeric(B, N).
cis_gt(sup, B0) :- B0 \== sup.
cis_gt_numeric(n(B), A) :- A > B.
cis_gt_numeric(inf, _).
cis_geq(A, B) :-
( cis_gt(A, B) -> true
; A == B
).
cis_geq_zero(sup).
cis_geq_zero(n(N)) :- N >= 0.
cis_lt(A, B) :- cis_gt(B, A).
cis_leq(A, B) :- cis_geq(B, A).
cis_min(inf, _, inf).
cis_min(sup, B, B).
cis_min(n(N), B, Min) :- cis_min_(B, N, Min).
cis_min_(inf, _, inf).
cis_min_(sup, N, n(N)).
cis_min_(n(B), A, n(M)) :- M is min(A,B).
cis_max(sup, _, sup).
cis_max(inf, B, B).
cis_max(n(N), B, Max) :- cis_max_(B, N, Max).
cis_max_(inf, N, n(N)).
cis_max_(sup, _, sup).
cis_max_(n(B), A, n(M)) :- M is max(A,B).
cis_plus(inf, _, inf).
cis_plus(sup, _, sup).
cis_plus(n(A), B, Plus) :- cis_plus_(B, A, Plus).
cis_plus_(sup, _, sup).
cis_plus_(inf, _, inf).
cis_plus_(n(B), A, n(S)) :- S is A + B.
cis_minus(inf, _, inf).
cis_minus(sup, _, sup).
cis_minus(n(A), B, M) :- cis_minus_(B, A, M).
cis_minus_(inf, _, sup).
cis_minus_(sup, _, inf).
cis_minus_(n(B), A, n(M)) :- M is A - B.
cis_uminus(inf, sup).
cis_uminus(sup, inf).
cis_uminus(n(A), n(B)) :- B is -A.
cis_abs(inf, sup).
cis_abs(sup, sup).
cis_abs(n(A), n(B)) :- B is abs(A).
cis_times(inf, B, P) :-
( B cis_lt n(0) -> P = sup
; B cis_gt n(0) -> P = inf
; P = n(0)
).
cis_times(sup, B, P) :-
( B cis_gt n(0) -> P = sup
; B cis_lt n(0) -> P = inf
; P = n(0)
).
cis_times(n(N), B, P) :- cis_times_(B, N, P).
cis_times_(inf, A, P) :- cis_times(inf, n(A), P).
cis_times_(sup, A, P) :- cis_times(sup, n(A), P).
cis_times_(n(B), A, n(P)) :- P is A * B.
cis_exp(inf, Y, R) :-
( Y mod 2 =:= 0 -> R = sup
; R = inf
).
cis_exp(sup, _, sup).
cis_exp(n(N), Y, n(R)) :- R is N^Y.
% compactified is/2 for expressions of interest
goal_expansion(A cis B, Expansion) :-
phrase(cis_goals(B, A), Goals),
list_goal(Goals, Expansion).
cis_goals(V, V) --> { var(V) }, !.
cis_goals(n(N), n(N)) --> [].
cis_goals(inf, inf) --> [].
cis_goals(sup, sup) --> [].
cis_goals(sign(A0), R) --> cis_goals(A0, A), [cis_sign(A, R)].
cis_goals(abs(A0), R) --> cis_goals(A0, A), [cis_abs(A, R)].
cis_goals(-A0, R) --> cis_goals(A0, A), [cis_uminus(A, R)].
cis_goals(A0+B0, R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_plus(A, B, R)].
cis_goals(A0-B0, R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_minus(A, B, R)].
cis_goals(min(A0,B0), R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_min(A, B, R)].
cis_goals(max(A0,B0), R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_max(A, B, R)].
cis_goals(A0*B0, R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_times(A, B, R)].
cis_goals(div(A0,B0), R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_div(A, B, R)].
cis_goals(A0//B0, R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_slash(A, B, R)].
cis_goals(A0^B0, R) -->
cis_goals(A0, A),
cis_goals(B0, B),
[cis_exp(A, B, R)].
list_goal([], true).
list_goal([C|Cs], Goal) :- list_goal_(Cs, C, Goal).
list_goal_([], G, G).
list_goal_([C|Cs], G0, G) :- list_goal_(Cs, (G0,C), G).
cis_sign(sup, n(1)).
cis_sign(inf, n(-1)).
cis_sign(n(N), n(S)) :-
( N < 0 -> S = -1
; N > 0 -> S = 1
; S = 0
).
cis_div(sup, Y, Z) :- ( cis_geq_zero(Y) -> Z = sup ; Z = inf ).
cis_div(inf, Y, Z) :- ( cis_geq_zero(Y) -> Z = inf ; Z = sup ).
cis_div(n(X), Y, Z) :- cis_div_(Y, X, Z).
cis_div_(sup, _, n(0)).
cis_div_(inf, _, n(0)).
cis_div_(n(Y), X, Z) :-
( Y =:= 0 -> ( X >= 0 -> Z = sup ; Z = inf )
; Z0 is X // Y, Z = n(Z0)
).
cis_slash(sup, _, sup).
cis_slash(inf, _, inf).
cis_slash(n(N), B, S) :- cis_slash_(B, N, S).
cis_slash_(sup, _, n(0)).
cis_slash_(inf, _, n(0)).
cis_slash_(n(B), A, n(S)) :- S is A // B.
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
A domain is a finite set of disjoint intervals. Internally, domains
are represented as trees. Each node is one of:
empty: empty domain.
split(N, Left, Right)
- split on integer N, with Left and Right domains whose elements are
all less than and greater than N, respectively. The domain is the
union of Left and Right, i.e., N is a hole.
from_to(From, To)
- interval (From-1, To+1); From and To are bounds
Desiderata: rebalance domains; singleton intervals.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Type definition and inspection of domains.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
check_domain(D) :-
( var(D) -> instantiation_error(D)
; is_domain(D) -> true
; domain_error(clpfd_domain, D)
).
is_domain(empty).
is_domain(from_to(From,To)) :-
is_bound(From), is_bound(To),
From cis_leq To.
is_domain(split(S, Left, Right)) :-
integer(S),
is_domain(Left), is_domain(Right),
all_less_than(Left, S),
all_greater_than(Right, S).
all_less_than(empty, _).
all_less_than(from_to(From,To), S) :-
From cis_lt n(S), To cis_lt n(S).
all_less_than(split(S0,Left,Right), S) :-
S0 < S,
all_less_than(Left, S),
all_less_than(Right, S).
all_greater_than(empty, _).
all_greater_than(from_to(From,To), S) :-
From cis_gt n(S), To cis_gt n(S).
all_greater_than(split(S0,Left,Right), S) :-
S0 > S,
all_greater_than(Left, S),
all_greater_than(Right, S).
default_domain(from_to(inf,sup)).
domain_infimum(from_to(I, _), I).
domain_infimum(split(_, Left, _), I) :- domain_infimum(Left, I).
domain_supremum(from_to(_, S), S).
domain_supremum(split(_, _, Right), S) :- domain_supremum(Right, S).
domain_num_elements(empty, n(0)).
domain_num_elements(from_to(From,To), Num) :- Num cis To - From + n(1).
domain_num_elements(split(_, Left, Right), Num) :-
domain_num_elements(Left, NL),
domain_num_elements(Right, NR),
Num cis NL + NR.
domain_direction_element(from_to(n(From), n(To)), Dir, E) :-
( Dir == up -> between(From, To, E)
; between(From, To, E0),
E is To - (E0 - From)
).
domain_direction_element(split(_, D1, D2), Dir, E) :-
( Dir == up ->
( domain_direction_element(D1, Dir, E)
; domain_direction_element(D2, Dir, E)
)
; ( domain_direction_element(D2, Dir, E)
; domain_direction_element(D1, Dir, E)
)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Test whether domain contains a given integer.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_contains(from_to(From,To), I) :-
domain_contains_from(From, I),
domain_contains_to(To, I).
domain_contains(split(S, Left, Right), I) :-
( I < S -> domain_contains(Left, I)
; I > S -> domain_contains(Right, I)
).
domain_contains_from(inf, _).
domain_contains_from(n(L), I) :- L =< I.
domain_contains_to(sup, _).
domain_contains_to(n(U), I) :- I =< U.
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Test whether a domain contains another domain.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_subdomain(Dom, Sub) :- domain_subdomain(Dom, Dom, Sub).
domain_subdomain(from_to(_,_), Dom, Sub) :-
domain_subdomain_fromto(Sub, Dom).
domain_subdomain(split(_, _, _), Dom, Sub) :-
domain_subdomain_split(Sub, Dom, Sub).
domain_subdomain_split(empty, _, _).
domain_subdomain_split(from_to(From,To), split(S,Left0,Right0), Sub) :-
( To cis_lt n(S) -> domain_subdomain(Left0, Left0, Sub)
; From cis_gt n(S) -> domain_subdomain(Right0, Right0, Sub)
).
domain_subdomain_split(split(_,Left,Right), Dom, _) :-
domain_subdomain(Dom, Dom, Left),
domain_subdomain(Dom, Dom, Right).
domain_subdomain_fromto(empty, _).
domain_subdomain_fromto(from_to(From,To), from_to(From0,To0)) :-
From0 cis_leq From, To0 cis_geq To.
domain_subdomain_fromto(split(_,Left,Right), Dom) :-
domain_subdomain_fromto(Left, Dom),
domain_subdomain_fromto(Right, Dom).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Remove an integer from a domain. The domain is traversed until an
interval is reached from which the element can be removed, or until
it is clear that no such interval exists.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_remove(empty, _, empty).
domain_remove(from_to(L0, U0), X, D) :- domain_remove_(L0, U0, X, D).
domain_remove(split(S, Left0, Right0), X, D) :-
( X =:= S -> D = split(S, Left0, Right0)
; X < S ->
domain_remove(Left0, X, Left1),
( Left1 == empty -> D = Right0
; D = split(S, Left1, Right0)
)
; domain_remove(Right0, X, Right1),
( Right1 == empty -> D = Left0
; D = split(S, Left0, Right1)
)
).
%?- domain_remove(from_to(n(0),n(5)), 3, D).
domain_remove_(inf, U0, X, D) :-
( U0 == n(X) -> U1 is X - 1, D = from_to(inf, n(U1))
; U0 cis_lt n(X) -> D = from_to(inf,U0)
; L1 is X + 1, U1 is X - 1,
D = split(X, from_to(inf, n(U1)), from_to(n(L1),U0))
).
domain_remove_(n(N), U0, X, D) :- domain_remove_upper(U0, N, X, D).
domain_remove_upper(sup, L0, X, D) :-
( L0 =:= X -> L1 is X + 1, D = from_to(n(L1),sup)
; L0 > X -> D = from_to(n(L0),sup)
; L1 is X + 1, U1 is X - 1,
D = split(X, from_to(n(L0),n(U1)), from_to(n(L1),sup))
).
domain_remove_upper(n(U0), L0, X, D) :-
( L0 =:= U0, X =:= L0 -> D = empty
; L0 =:= X -> L1 is X + 1, D = from_to(n(L1), n(U0))
; U0 =:= X -> U1 is X - 1, D = from_to(n(L0), n(U1))
; between(L0, U0, X) ->
U1 is X - 1, L1 is X + 1,
D = split(X, from_to(n(L0), n(U1)), from_to(n(L1), n(U0)))
; D = from_to(n(L0),n(U0))
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Remove all elements greater than / less than a constant.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_remove_greater_than(empty, _, empty).
domain_remove_greater_than(from_to(From0,To0), G, D) :-
( From0 cis_gt n(G) -> D = empty
; To cis min(To0,n(G)), D = from_to(From0,To)
).
domain_remove_greater_than(split(S,Left0,Right0), G, D) :-
( S =< G ->
domain_remove_greater_than(Right0, G, Right),
( Right == empty -> D = Left0
; D = split(S, Left0, Right)
)
; domain_remove_greater_than(Left0, G, D)
).
domain_remove_smaller_than(empty, _, empty).
domain_remove_smaller_than(from_to(From0,To0), V, D) :-
( To0 cis_lt n(V) -> D = empty
; From cis max(From0,n(V)), D = from_to(From,To0)
).
domain_remove_smaller_than(split(S,Left0,Right0), V, D) :-
( S >= V ->
domain_remove_smaller_than(Left0, V, Left),
( Left == empty -> D = Right0
; D = split(S, Left, Right0)
)
; domain_remove_smaller_than(Right0, V, D)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Remove a whole domain from another domain. (Set difference.)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_subtract(Dom0, Sub, Dom) :- domain_subtract(Dom0, Dom0, Sub, Dom).
domain_subtract(empty, _, _, empty).
domain_subtract(from_to(From0,To0), Dom, Sub, D) :-
( Sub == empty -> D = Dom
; Sub = from_to(From,To) ->
( From == To -> From = n(X), domain_remove(Dom, X, D)
; From cis_gt To0 -> D = Dom
; To cis_lt From0 -> D = Dom
; From cis_leq From0 ->
( To cis_geq To0 -> D = empty
; From1 cis To + n(1),
D = from_to(From1, To0)
)
; To1 cis From - n(1),
( To cis_lt To0 ->
From = n(S),
From2 cis To + n(1),
D = split(S,from_to(From0,To1),from_to(From2,To0))
; D = from_to(From0,To1)
)
)
; Sub = split(S, Left, Right) ->
( n(S) cis_gt To0 -> domain_subtract(Dom, Dom, Left, D)
; n(S) cis_lt From0 -> domain_subtract(Dom, Dom, Right, D)
; domain_subtract(Dom, Dom, Left, D1),
domain_subtract(D1, D1, Right, D)
)
).
domain_subtract(split(S, Left0, Right0), _, Sub, D) :-
domain_subtract(Left0, Left0, Sub, Left),
domain_subtract(Right0, Right0, Sub, Right),
( Left == empty -> D = Right
; Right == empty -> D = Left
; D = split(S, Left, Right)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Complement of a domain
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_complement(D, C) :-
default_domain(Default),
domain_subtract(Default, D, C).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Convert domain to a list of disjoint intervals From-To.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_intervals(D, Is) :- phrase(domain_intervals(D), Is).
domain_intervals(split(_, Left, Right)) -->
domain_intervals(Left), domain_intervals(Right).
domain_intervals(empty) --> [].
domain_intervals(from_to(From,To)) --> [From-To].
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
To compute the intersection of two domains D1 and D2, we choose D1
as the reference domain. For each interval of D1, we compute how
far and to which values D2 lets us extend it.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domains_intersection(D1, D2, Intersection) :-
domains_intersection_(D1, D2, Intersection),
Intersection \== empty.
domains_intersection_(empty, _, empty).
domains_intersection_(from_to(L0,U0), D2, Dom) :-
narrow(D2, L0, U0, Dom).
domains_intersection_(split(S,Left0,Right0), D2, Dom) :-
domains_intersection_(Left0, D2, Left1),
domains_intersection_(Right0, D2, Right1),
( Left1 == empty -> Dom = Right1
; Right1 == empty -> Dom = Left1
; Dom = split(S, Left1, Right1)
).
narrow(empty, _, _, empty).
narrow(from_to(L0,U0), From0, To0, Dom) :-
From1 cis max(From0,L0), To1 cis min(To0,U0),
( From1 cis_gt To1 -> Dom = empty
; Dom = from_to(From1,To1)
).
narrow(split(S, Left0, Right0), From0, To0, Dom) :-
( To0 cis_lt n(S) -> narrow(Left0, From0, To0, Dom)
; From0 cis_gt n(S) -> narrow(Right0, From0, To0, Dom)
; narrow(Left0, From0, To0, Left1),
narrow(Right0, From0, To0, Right1),
( Left1 == empty -> Dom = Right1
; Right1 == empty -> Dom = Left1
; Dom = split(S, Left1, Right1)
)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Union of 2 domains.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domains_union(D1, D2, Union) :-
domain_intervals(D1, Is1),
domain_intervals(D2, Is2),
append(Is1, Is2, IsU0),
merge_intervals(IsU0, IsU1),
intervals_to_domain(IsU1, Union).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Shift the domain by an offset.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_shift(empty, _, empty).
domain_shift(from_to(From0,To0), O, from_to(From,To)) :-
From cis From0 + n(O), To cis To0 + n(O).
domain_shift(split(S0, Left0, Right0), O, split(S, Left, Right)) :-
S is S0 + O,
domain_shift(Left0, O, Left),
domain_shift(Right0, O, Right).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
The new domain contains all values of the old domain,
multiplied by a constant multiplier.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_expand(D0, M, D) :-
( M < 0 ->
domain_negate(D0, D1),
M1 is abs(M),
domain_expand_(D1, M1, D)
; M =:= 1 -> D = D0
; domain_expand_(D0, M, D)
).
domain_expand_(empty, _, empty).
domain_expand_(from_to(From0, To0), M, from_to(From,To)) :-
From cis From0*n(M),
To cis To0*n(M).
domain_expand_(split(S0, Left0, Right0), M, split(S, Left, Right)) :-
S is M*S0,
domain_expand_(Left0, M, Left),
domain_expand_(Right0, M, Right).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
similar to domain_expand/3, tailored for division: an interval
[From,To] is extended to [From*M, ((To+1)*M - 1)], i.e., to all
values that integer-divided by M yield a value from interval.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_expand_more(D0, M, D) :-
%format("expanding ~w by ~w\n", [D0,M]),
( M < 0 -> domain_negate(D0, D1), M1 is abs(M)
; D1 = D0, M1 = M
),
domain_expand_more_(D1, M1, D).
%format("yield: ~w\n", [D]).
domain_expand_more_(empty, _, empty).
domain_expand_more_(from_to(From0, To0), M, from_to(From,To)) :-
( From0 cis_lt n(0) ->
From cis (From0-n(1))*n(M) + n(1)
; From cis From0*n(M)
),
( To0 cis_lt n(0) ->
To cis To0*n(M)
; To cis (To0+n(1))*n(M) - n(1)
).
domain_expand_more_(split(S0, Left0, Right0), M, D) :-
S is M*S0,
domain_expand_more_(Left0, M, Left),
domain_expand_more_(Right0, M, Right),
domain_supremum(Left, LeftSup),
domain_infimum(Right, RightInf),
( LeftSup cis_lt n(S), n(S) cis_lt RightInf ->
D = split(S, Left, Right)
; domain_infimum(Left, Inf),
domain_supremum(Right, Sup),
D = from_to(Inf, Sup)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Scale a domain down by a constant multiplier. Assuming (//)/2.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_contract(D0, M, D) :-
%format("contracting ~w by ~w\n", [D0,M]),
( M < 0 -> domain_negate(D0, D1), M1 is abs(M)
; D1 = D0, M1 = M
),
domain_contract_(D1, M1, D).
domain_contract_(empty, _, empty).
domain_contract_(from_to(From0, To0), M, from_to(From,To)) :-
( cis_geq_zero(From0) ->
From cis (From0 + n(M) - n(1)) // n(M)
; From cis From0 // n(M)
),
( cis_geq_zero(To0) ->
To cis To0 // n(M)
; To cis (To0 - n(M) + n(1)) // n(M)
).
domain_contract_(split(S0,Left0,Right0), M, D) :-
S is S0 // M,
% Scaled down domains do not necessarily retain any holes of
% the original domain.
domain_contract_(Left0, M, Left),
domain_contract_(Right0, M, Right),
domain_supremum(Left, LeftSup),
domain_infimum(Right, RightInf),
( LeftSup cis_lt n(S), n(S) cis_lt RightInf ->
D = split(S, Left, Right)
; domain_infimum(Left0, Inf),
% TODO: this is not necessarily an interval
domain_supremum(Right0, Sup),
min_divide(Inf, Sup, n(M), n(M), From0),
max_divide(Inf, Sup, n(M), n(M), To0),
domain_infimum(Left, LeftInf),
domain_supremum(Right, RightSup),
From cis max(LeftInf, From0),
To cis min(RightSup, To0),
D = from_to(From, To)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Similar to domain_contract, tailored for division, i.e.,
{21,23} contracted by 4 is 5. It contracts "less".
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_contract_less(D0, M, D) :-
( M < 0 -> domain_negate(D0, D1), M1 is abs(M)
; D1 = D0, M1 = M
),
domain_contract_less_(D1, M1, D).
domain_contract_less_(empty, _, empty).
domain_contract_less_(from_to(From0, To0), M, from_to(From,To)) :-
From cis From0 // n(M), To cis To0 // n(M).
domain_contract_less_(split(S0,Left0,Right0), M, D) :-
S is S0 // M,
% Scaled down domains do not necessarily retain any holes of
% the original domain.
domain_contract_less_(Left0, M, Left),
domain_contract_less_(Right0, M, Right),
domain_supremum(Left, LeftSup),
domain_infimum(Right, RightInf),
( LeftSup cis_lt n(S), n(S) cis_lt RightInf ->
D = split(S, Left, Right)
; domain_infimum(Left0, Inf),
% TODO: this is not necessarily an interval
domain_supremum(Right0, Sup),
min_divide_less(Inf, Sup, n(M), n(M), From0),
max_divide_less(Inf, Sup, n(M), n(M), To0),
domain_infimum(Left, LeftInf),
domain_supremum(Right, RightSup),
From cis max(LeftInf, From0),
To cis min(RightSup, To0),
D = from_to(From, To)
%format("got: ~w\n", [D])
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Negate the domain. Left and Right sub-domains and bounds switch sides.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
domain_negate(empty, empty).
domain_negate(from_to(From0, To0), from_to(To,From)) :-
From cis -From0, To cis -To0.
domain_negate(split(S0, Left0, Right0), split(S, Left, Right)) :-
S is -S0,
domain_negate(Left0, Right),
domain_negate(Right0, Left).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Construct a domain from a list of integers. Try to balance it.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
list_to_disjoint_intervals([], []).
list_to_disjoint_intervals([N|Ns], Is) :-
list_to_disjoint_intervals(Ns, N, N, Is).
list_to_disjoint_intervals([], M, N, [n(M)-n(N)]).
list_to_disjoint_intervals([B|Bs], M, N, Is) :-
( B =:= N + 1 ->
list_to_disjoint_intervals(Bs, M, B, Is)
; Is = [n(M)-n(N)|Rest],
list_to_disjoint_intervals(Bs, B, B, Rest)
).
list_to_domain(List0, D) :-
( List0 == [] -> D = empty
; sort(List0, List),
list_to_disjoint_intervals(List, Is),
intervals_to_domain(Is, D)
).
intervals_to_domain([], empty) :- !.
intervals_to_domain([M-N], from_to(M,N)) :- !.
intervals_to_domain(Is, D) :-
length(Is, L),
FL is L // 2,
length(Front, FL),
append(Front, Tail, Is),
Tail = [n(Start)-_|_],
Hole is Start - 1,
intervals_to_domain(Front, Left),
intervals_to_domain(Tail, Right),
D = split(Hole, Left, Right).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ?Var in +Domain
%
% Var is an element of Domain. Domain is one of:
%
% * Integer
% Singleton set consisting only of _Integer_.
% * Lower..Upper
% All integers _I_ such that _Lower_ =< _I_ =< _Upper_.
% _Lower_ must be an integer or the atom *inf*, which
% denotes negative infinity. _Upper_ must be an integer or
% the atom *sup*, which denotes positive infinity.
% * Domain1 \/ Domain2
% The union of Domain1 and Domain2.
V in D :-
fd_variable(V),
drep_to_domain(D, Dom),
domain(V, Dom).
fd_variable(V) :-
( var(V) -> true
; integer(V) -> true
; type_error(integer, V)
).
%% +Vars ins +Domain
%
% The variables in the list Vars are elements of Domain.
Vs ins D :-
must_be(list, Vs),
maplist(fd_variable, Vs),
drep_to_domain(D, Dom),
domains(Vs, Dom).
%% indomain(?Var)
%
% Bind Var to all feasible values of its domain on backtracking. The
% domain of Var must be finite.
indomain(Var) :- label([Var]).
order_dom_next(up, Dom, Next) :- domain_infimum(Dom, n(Next)).
order_dom_next(down, Dom, Next) :- domain_supremum(Dom, n(Next)).
order_dom_next(random_value(_), Dom, Next) :-
domain_to_list(Dom, Ls),
length(Ls, L),
I is random(L),
nth0(I, Ls, Next).
%% label(+Vars)
%
% Equivalent to labeling([], Vars).
label(Vs) :- labeling([], Vs).
%% labeling(+Options, +Vars)
%
% Labeling means systematically trying out values for the finite
% domain variables Vars until all of them are ground. The domain of
% each variable in Vars must be finite. Options is a list of options
% that let you exhibit some control over the search process. Several
% categories of options exist:
%
% The variable selection strategy lets you specify which variable of
% Vars is labeled next and is one of:
%
% * leftmost
% Label the variables in the order they occur in Vars. This is the
% default.
%
% * ff
% _|First fail|_. Label the leftmost variable with smallest domain next,
% in order to detect infeasibility early. This is often a good
% strategy.
%
% * ffc
% Of the variables with smallest domains, the leftmost one
% participating in most constraints is labeled next.
%
% * min
% Label the leftmost variable whose lower bound is the lowest next.
%
% * max
% Label the leftmost variable whose upper bound is the highest next.
%
% The value order is one of:
%
% * up
% Try the elements of the chosen variable's domain in ascending order.
% This is the default.
%
% * down
% Try the domain elements in descending order.
%
% The branching strategy is one of:
%
% * step
% For each variable X, a choice is made between X = V and X #\= V,
% where V is determined by the value ordering options. This is the
% default.
%
% * enum
% For each variable X, a choice is made between X = V_1, X = V_2
% etc., for all values V_i of the domain of X. The order is
% determined by the value ordering options.
%
% * bisect
% For each variable X, a choice is made between X #=< M and X #> M,
% where M is the midpoint of the domain of X.
%
% At most one option of each category can be specified, and an option
% must not occur repeatedly.
%
% The order of solutions can be influenced with:
%
% * min(Expr)
% * max(Expr)
%
% This generates solutions in ascending/descending order with respect
% to the evaluation of the arithmetic expression Expr. Labeling Vars
% must make Expr ground. If several such options are specified, they
% are interpreted from left to right, e.g.:
%
% ==
% ?- [X,Y] ins 10..20, labeling([max(X),min(Y)],[X,Y]).
% ==
%
% This generates solutions in descending order of X, and for each
% binding of X, solutions are generated in ascending order of Y. To
% obtain the incomplete behaviour that other systems exhibit with
% "maximize(Expr)" and "minimize(Expr)", use once/1, e.g.:
%
% ==
% once(labeling([max(Expr)], Vars))
% ==
%
% Labeling is always complete, always terminates, and yields no
% redundant solutions.
%
labeling(Options, Vars) :-
must_be(list, Options),
must_be(list, Vars),
maplist(finite_domain, Vars),
label(Options, Options, default(leftmost), default(up), default(step), [], upto_ground, Vars).
finite_domain(Var) :-
( fd_get(Var, Dom, _) ->
( domain_infimum(Dom, n(_)), domain_supremum(Dom, n(_)) -> true
; instantiation_error(Var)
)
; integer(Var) -> true
; must_be(integer, Var)
).
label([O|Os], Options, Selection, Order, Choice, Optim, Consistency, Vars) :-
( var(O)-> instantiation_error(O)
; override(selection, Selection, O, Options, S1) ->
label(Os, Options, S1, Order, Choice, Optim, Consistency, Vars)
; override(order, Order, O, Options, O1) ->
label(Os, Options, Selection, O1, Choice, Optim, Consistency, Vars)
; override(choice, Choice, O, Options, C1) ->
label(Os, Options, Selection, Order, C1, Optim, Consistency, Vars)
; optimisation(O) ->
label(Os, Options, Selection, Order, Choice, [O|Optim], Consistency, Vars)
; consistency(O, O1) ->
label(Os, Options, Selection, Order, Choice, Optim, O1, Vars)
; domain_error(labeling_option, O)
).
label([], _, Selection, Order, Choice, Optim0, Consistency, Vars) :-
maplist(arg(1), [Selection,Order,Choice], [S,O,C]),
( Optim0 == [] ->
label(Vars, S, O, C, Consistency)
; reverse(Optim0, Optim),
exprs_singlevars(Optim, SVs),
optimise(Vars, [S,O,C], SVs)
).
% Introduce new variables for each min/max expression to avoid
% reparsing expressions during optimisation.
exprs_singlevars([], []).
exprs_singlevars([E|Es], [SV|SVs]) :-
E =.. [F,Expr],
Single #= Expr,
SV =.. [F,Single],
exprs_singlevars(Es, SVs).
all_dead(fd_props(Bs,Gs,Os)) :-
all_dead_(Bs),
all_dead_(Gs),
all_dead_(Os).
all_dead_([]).
all_dead_([propagator(_, S)|Ps]) :- S == dead, all_dead_(Ps).
label([], _, _, _, Consistency) :- !,
( Consistency = upto_in(I0,I) -> I0 = I
; true
).
label(Vars, Selection, Order, Choice, Consistency) :-
( Vars = [V|Vs], nonvar(V) -> label(Vs, Selection, Order, Choice, Consistency)
; select_var(Selection, Vars, Var, RVars),
( var(Var) ->
( Consistency = upto_in(I0,I), fd_get(Var, _, Ps), all_dead(Ps) ->
fd_size(Var, Size),
I1 is I0*Size,
label(RVars, Selection, Order, Choice, upto_in(I1,I))
; Consistency = upto_in, fd_get(Var, _, Ps), all_dead(Ps) ->
label(RVars, Selection, Order, Choice, Consistency)
; choice_order_variable(Choice, Order, Var, RVars, Vars, Selection, Consistency)
)
; label(RVars, Selection, Order, Choice, Consistency)
)
).
choice_order_variable(step, Order, Var, Vars, Vars0, Selection, Consistency) :-
fd_get(Var, Dom, _),
order_dom_next(Order, Dom, Next),
( Var = Next,
label(Vars, Selection, Order, step, Consistency)
; neq_num(Var, Next),
do_queue,
label(Vars0, Selection, Order, step, Consistency)
).
choice_order_variable(enum, Order, Var, Vars, _, Selection, Consistency) :-
fd_get(Var, Dom0, _),
domain_direction_element(Dom0, Order, Var),
label(Vars, Selection, Order, enum, Consistency).
choice_order_variable(bisect, Order, Var, _, Vars0, Selection, Consistency) :-
fd_get(Var, Dom, _),
domain_infimum(Dom, n(I)),
domain_supremum(Dom, n(S)),
Mid0 is (I + S) // 2,
( Mid0 =:= S -> Mid is Mid0 - 1 ; Mid = Mid0 ),
( Var #=< Mid,
label(Vars0, Selection, Order, bisect, Consistency)
; Var #> Mid,
label(Vars0, Selection, Order, bisect, Consistency)
).
override(What, Prev, Value, Options, Result) :-
call(What, Value),
override_(Prev, Value, Options, Result).
override_(default(_), Value, _, user(Value)).
override_(user(Prev), Value, Options, _) :-
( Value == Prev ->
domain_error(nonrepeating_labeling_options, Options)
; domain_error(consistent_labeling_options, Options)
).
selection(ff).
selection(ffc).
selection(min).
selection(max).
selection(leftmost).
selection(random_variable(Seed)) :-
must_be(integer, Seed),
set_random(seed(Seed)).
choice(step).
choice(enum).
choice(bisect).
order(up).
order(down).
% TODO: random_variable and random_value currently both set the seed,
% so exchanging the options can yield different results.
order(random_value(Seed)) :-
must_be(integer, Seed),
set_random(seed(Seed)).
consistency(upto_in(I), upto_in(1, I)).
consistency(upto_in, upto_in).
consistency(upto_ground, upto_ground).
optimisation(min(_)).
optimisation(max(_)).
select_var(leftmost, [Var|Vars], Var, Vars).
select_var(min, [V|Vs], Var, RVars) :-
find_min(Vs, V, Var),
delete_eq([V|Vs], Var, RVars).
select_var(max, [V|Vs], Var, RVars) :-
find_max(Vs, V, Var),
delete_eq([V|Vs], Var, RVars).
select_var(ff, [V|Vs], Var, RVars) :-
fd_size_(V, n(S)),
find_ff(Vs, V, S, Var),
delete_eq([V|Vs], Var, RVars).
select_var(ffc, [V|Vs], Var, RVars) :-
find_ffc(Vs, V, Var),
delete_eq([V|Vs], Var, RVars).
select_var(random_variable(_), Vars0, Var, Vars) :-
length(Vars0, L),
I is random(L),
nth0(I, Vars0, Var),
delete_eq(Vars0, Var, Vars).
find_min([], Var, Var).
find_min([V|Vs], CM, Min) :-
( min_lt(V, CM) ->
find_min(Vs, V, Min)
; find_min(Vs, CM, Min)
).
find_max([], Var, Var).
find_max([V|Vs], CM, Max) :-
( max_gt(V, CM) ->
find_max(Vs, V, Max)
; find_max(Vs, CM, Max)
).
find_ff([], Var, _, Var).
find_ff([V|Vs], CM, S0, FF) :-
( nonvar(V) -> find_ff(Vs, CM, S0, FF)
; ( fd_size_(V, n(S1)), S1 < S0 ->
find_ff(Vs, V, S1, FF)
; find_ff(Vs, CM, S0, FF)
)
).
find_ffc([], Var, Var).
find_ffc([V|Vs], Prev, FFC) :-
( ffc_lt(V, Prev) ->
find_ffc(Vs, V, FFC)
; find_ffc(Vs, Prev, FFC)
).
ffc_lt(X, Y) :-
( fd_get(X, XD, XPs) ->
domain_num_elements(XD, n(NXD))
; NXD = 1, XPs = []
),
( fd_get(Y, YD, YPs) ->
domain_num_elements(YD, n(NYD))
; NYD = 1, YPs = []
),
( NXD < NYD -> true
; NXD =:= NYD,
props_number(XPs, NXPs),
props_number(YPs, NYPs),
NXPs > NYPs
).
min_lt(X,Y) :- bounds(X,LX,_), bounds(Y,LY,_), LX < LY.
max_gt(X,Y) :- bounds(X,_,UX), bounds(Y,_,UY), UX > UY.
bounds(X, L, U) :-
( fd_get(X, Dom, _) ->
domain_infimum(Dom, n(L)),
domain_supremum(Dom, n(U))
; L = X, U = L
).
delete_eq([], _, []).
delete_eq([X|Xs], Y, List) :-
( nonvar(X) -> delete_eq(Xs, Y, List)
; X == Y -> List = Xs
; List = [X|Tail],
delete_eq(Xs, Y, Tail)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
contracting/1 -- subject to change
This can remove additional domain elements from the boundaries.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
contracting(Vs) :-
must_be(list, Vs),
maplist(finite_domain, Vs),
contracting(Vs, fail, Vs).
contracting([], Repeat, Vars) :-
( Repeat -> contracting(Vars, fail, Vars)
; true
).
contracting([V|Vs], Repeat, Vars) :-
fd_inf(V, Min),
( \+ \+ (V = Min) ->
fd_sup(V, Max),
( \+ \+ (V = Max) ->
contracting(Vs, Repeat, Vars)
; V #\= Max,
contracting(Vs, true, Vars)
)
; V #\= Min,
contracting(Vs, true, Vars)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
fds_sespsize(Vs, S).
S is an upper bound on the search space size with respect to finite
domain variables Vs.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
fds_sespsize(Vs, S) :-
must_be(list, Vs),
maplist(fd_variable, Vs),
fds_sespsize(Vs, n(1), S1),
bound_portray(S1, S).
fd_size_(V, S) :-
( fd_get(V, D, _) ->
domain_num_elements(D, S)
; S = n(1)
).
fds_sespsize([], S, S).
fds_sespsize([V|Vs], S0, S) :-
fd_size_(V, S1),
S2 cis S0*S1,
fds_sespsize(Vs, S2, S).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Optimisation uses destructive assignment to save the computed
extremum over backtracking. Failure is used to get rid of copies of
attributed variables that are created in intermediate steps. At
least that's the intention - it currently doesn't work in SWI:
%?- X in 0..3, call_residue_vars(labeling([min(X)], [X]), Vs).
%@ X = 0,
%@ Vs = [_G6174, _G6177],
%@ _G6174 in 0..3
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
optimise(Vars, Options, Whats) :-
Whats = [What|WhatsRest],
Extremum = extremum(none),
( catch(store_extremum(Vars, Options, What, Extremum),
time_limit_exceeded,
false)
; Extremum = extremum(n(Val)),
arg(1, What, Expr),
append(WhatsRest, Options, Options1),
( Expr #= Val,
labeling(Options1, Vars)
; Expr #\= Val,
optimise(Vars, Options, Whats)
)
).
store_extremum(Vars, Options, What, Extremum) :-
catch((labeling(Options, Vars), throw(w(What))), w(What1), true),
functor(What, Direction, _),
maplist(arg(1), [What,What1], [Expr,Expr1]),
optimise(Direction, Options, Vars, Expr1, Expr, Extremum).
optimise(Direction, Options, Vars, Expr0, Expr, Extremum) :-
must_be(ground, Expr0),
nb_setarg(1, Extremum, n(Expr0)),
catch((tighten(Direction, Expr, Expr0),
labeling(Options, Vars),
throw(v(Expr))), v(Expr1), true),
optimise(Direction, Options, Vars, Expr1, Expr, Extremum).
tighten(min, E, V) :- E #< V.
tighten(max, E, V) :- E #> V.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% all_different(+Vars)
%
% Vars are pairwise distinct.
all_different(Ls) :-
must_be(list, Ls),
maplist(fd_variable, Ls),
put_attr(Orig, clpfd_original, all_different(Ls)),
all_different(Ls, [], Orig),
do_queue.
all_different([], _, _).
all_different([X|Right], Left, Orig) :-
( var(X) ->
make_propagator(pdifferent(Left,Right,X,Orig), Prop),
init_propagator(X, Prop),
trigger_prop(Prop)
; exclude_fire(Left, Right, X)
),
all_different(Right, [X|Left], Orig).
%% sum(+Vars, +Rel, ?Expr)
%
% The sum of elements of the list Vars is in relation Rel to Expr. For
% example:
%
% ==
% ?- [A,B,C] ins 0..sup, sum([A,B,C], #=, 100).
% A in 0..100,
% A+B+C#=100,
% B in 0..100,
% C in 0..100.
% ==
sum(Vs, Op, Value) :-
must_be(list, Vs),
length(Vs, L),
length(Ones, L),
maplist(=(1), Ones),
scalar_product(Ones, Vs, Op, Value).
vars_plusterm([], _, T, T).
vars_plusterm([C|Cs], [V|Vs], T0, T) :- vars_plusterm(Cs, Vs, T0+(C*V), T).
%% scalar_product(+Cs, +Vs, +Rel, ?Expr)
%
% Cs is a list of integers, Vs is a list of variables and integers.
% True if the scalar product of Cs and Vs is in relation Rel to Expr.
scalar_product(Cs, Vs, Op, Value) :-
must_be(list(integer), Cs),
must_be(list, Vs),
must_be(callable, Op),
maplist(fd_variable, Vs),
\+ cyclic_term(Value),
( memberchk(Op, [#=,#\=,#<,#>,#=<,#>=]) -> true
; domain_error(scalar_product_relation, Op)
),
vars_plusterm(Cs, Vs, 0, Left),
( left_right_linsum_const(Left, Value, Cs1, Vs1, Const) ->
scalar_product_(Op, Cs1, Vs1, Const)
; sum(Cs, Vs, 0, Op, Value)
).
sum([], _, Sum, Op, Value) :- call(Op, Sum, Value).
sum([C|Cs], [X|Xs], Acc, Op, Value) :-
NAcc #= Acc + C*X,
sum(Cs, Xs, NAcc, Op, Value).
scalar_product_(#=, Cs, Vs, C) :-
propagator_init_trigger(Vs, scalar_product_eq(Cs, Vs, C)).
scalar_product_(#\=, Cs, Vs, C) :-
propagator_init_trigger(Vs, scalar_product_neq(Cs, Vs, C)).
scalar_product_(#=<, Cs, Vs, C) :-
propagator_init_trigger(Vs, scalar_product_leq(Cs, Vs, C)).
scalar_product_(#<, Cs, Vs, C) :-
C1 is C - 1,
scalar_product_(#=<, Cs, Vs, C1).
scalar_product_(#>, Cs, Vs, C) :-
C1 is C + 1,
scalar_product_(#>=, Cs, Vs, C1).
scalar_product_(#>=, Cs, Vs, C) :-
maplist(negative, Cs, Cs1),
C1 is -C,
scalar_product_(#=<, Cs1, Vs, C1).
negative(X0, X) :- X is -X0.
coeffs_variables_const([], [], [], [], I, I).
coeffs_variables_const([C|Cs], [V|Vs], Cs1, Vs1, I0, I) :-
( var(V) ->
Cs1 = [C|CRest], Vs1 = [V|VRest], I1 = I0
; I1 is I0 + C*V,
Cs1 = CRest, Vs1 = VRest
),
coeffs_variables_const(Cs, Vs, CRest, VRest, I1, I).
sum_finite_domains([], [], [], [], Inf, Sup, Inf, Sup).
sum_finite_domains([C|Cs], [V|Vs], Infs, Sups, Inf0, Sup0, Inf, Sup) :-
fd_get(V, _, Inf1, Sup1, _),
( Inf1 = n(NInf) ->
( C < 0 ->
Sup2 is Sup0 + C*NInf
; Inf2 is Inf0 + C*NInf
),
Sups = Sups1,
Infs = Infs1
; ( C < 0 ->
Sup2 = Sup0,
Sups = [C*V|Sups1],
Infs = Infs1
; Inf2 = Inf0,
Infs = [C*V|Infs1],
Sups = Sups1
)
),
( Sup1 = n(NSup) ->
( C < 0 ->
Inf2 is Inf0 + C*NSup
; Sup2 is Sup0 + C*NSup
),
Sups1 = Sups2,
Infs1 = Infs2
; ( C < 0 ->
Inf2 = Inf0,
Infs1 = [C*V|Infs2],
Sups1 = Sups2
; Sup2 = Sup0,
Sups1 = [C*V|Sups2],
Infs1 = Infs2
)
),
sum_finite_domains(Cs, Vs, Infs2, Sups2, Inf2, Sup2, Inf, Sup).
remove_dist_upper_lower([], _, _, _).
remove_dist_upper_lower([C|Cs], [V|Vs], D1, D2) :-
( fd_get(V, VD, VPs) ->
( C < 0 ->
domain_supremum(VD, n(Sup)),
L is Sup + D1//C,
domain_remove_smaller_than(VD, L, VD1),
domain_infimum(VD1, n(Inf)),
G is Inf - D2//C,
domain_remove_greater_than(VD1, G, VD2)
; domain_infimum(VD, n(Inf)),
G is Inf + D1//C,
domain_remove_greater_than(VD, G, VD1),
domain_supremum(VD1, n(Sup)),
L is Sup - D2//C,
domain_remove_smaller_than(VD1, L, VD2)
),
fd_put(V, VD2, VPs)
; true
),
remove_dist_upper_lower(Cs, Vs, D1, D2).
remove_dist_upper_leq([], _, _).
remove_dist_upper_leq([C|Cs], [V|Vs], D1) :-
( fd_get(V, VD, VPs) ->
( C < 0 ->
domain_supremum(VD, n(Sup)),
L is Sup + D1//C,
domain_remove_smaller_than(VD, L, VD1)
; domain_infimum(VD, n(Inf)),
G is Inf + D1//C,
domain_remove_greater_than(VD, G, VD1)
),
fd_put(V, VD1, VPs)
; true
),
remove_dist_upper_leq(Cs, Vs, D1).
remove_dist_upper([], _).
remove_dist_upper([C*V|CVs], D) :-
( fd_get(V, VD, VPs) ->
( C < 0 ->
( domain_supremum(VD, n(Sup)) ->
L is Sup + D//C,
domain_remove_smaller_than(VD, L, VD1)
; VD1 = VD
)
; ( domain_infimum(VD, n(Inf)) ->
G is Inf + D//C,
domain_remove_greater_than(VD, G, VD1)
; VD1 = VD
)
),
fd_put(V, VD1, VPs)
; true
),
remove_dist_upper(CVs, D).
remove_dist_lower([], _).
remove_dist_lower([C*V|CVs], D) :-
( fd_get(V, VD, VPs) ->
( C < 0 ->
( domain_infimum(VD, n(Inf)) ->
G is Inf - D//C,
domain_remove_greater_than(VD, G, VD1)
; VD1 = VD
)
; ( domain_supremum(VD, n(Sup)) ->
L is Sup - D//C,
domain_remove_smaller_than(VD, L, VD1)
; VD1 = VD
)
),
fd_put(V, VD1, VPs)
; true
),
remove_dist_lower(CVs, D).
remove_upper([], _).
remove_upper([C*X|CXs], Max) :-
( fd_get(X, XD, XPs) ->
D is Max//C,
( C < 0 ->
domain_remove_smaller_than(XD, D, XD1)
; domain_remove_greater_than(XD, D, XD1)
),
fd_put(X, XD1, XPs)
; true
),
remove_upper(CXs, Max).
remove_lower([], _).
remove_lower([C*X|CXs], Min) :-
( fd_get(X, XD, XPs) ->
D is -Min//C,
( C < 0 ->
domain_remove_greater_than(XD, D, XD1)
; domain_remove_smaller_than(XD, D, XD1)
),
fd_put(X, XD1, XPs)
; true
),
remove_lower(CXs, Min).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Constraint propagation proceeds as follows: Each CLP(FD) variable
has an attribute that stores its associated domain and constraints.
Constraints are triggered when the event they are registered for
occurs (for example: variable is instantiated, bounds change etc.).
do_queue/0 works off all triggered constraints, possibly triggering
new ones, until fixpoint.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
% FIFO queue
make_queue :- nb_setval('$clpfd_queue', fast_slow(Q-Q, L-L)).
push_fast_queue(E) :-
b_getval('$clpfd_queue', fast_slow(H-[E|T], L)),
b_setval('$clpfd_queue', fast_slow(H-T, L)).
push_slow_queue(E) :-
b_getval('$clpfd_queue', fast_slow(L, H-[E|T])),
b_setval('$clpfd_queue', fast_slow(L, H-T)).
pop_queue(E) :-
b_getval('$clpfd_queue', fast_slow(H-T, I-U)),
( nonvar(H) ->
H = [E|NH],
b_setval('$clpfd_queue', fast_slow(NH-T, I-U))
; nonvar(I) ->
I = [E|NI],
b_setval('$clpfd_queue', fast_slow(H-T, NI-U))
; false
).
fetch_propagator(Prop) :-
pop_queue(P),
( arg(2, P, S), S == dead -> fetch_propagator(Prop)
; Prop = P
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Parsing a CLP(FD) expression has two important side-effects: First,
it constrains the variables occurring in the expression to
integers. Second, it constrains some of them even more: For
example, in X/Y and X mod Y, Y is constrained to be #\= 0.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
constrain_to_integer(Var) :-
( integer(Var) -> true
; fd_get(Var, D, Ps),
fd_put(Var, D, Ps)
).
power_var_num(P, X, N) :-
( var(P) -> X = P, N = 1
; P = Left*Right,
power_var_num(Left, XL, L),
power_var_num(Right, XR, R),
XL == XR,
X = XL,
N is L + R
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Given expression E, we obtain the finite domain variable R by
interpreting a simple committed-choice language that is a list of
conditions and bodies. In conditions, g(Goal) means literally Goal,
and m(Match) means that E can be decomposed as stated. The
variables are to be understood as the result of parsing the
subexpressions recursively. In the body, g(Goal) means again Goal,
and p(Propagator) means to attach and trigger once a propagator.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
parse_clpfd(E, R,
[(g(cyclic_term(E)) -> [g(domain_error(clpfd_expression, E))]),
(g(var(E)) -> [g(constrain_to_integer(E)), g(E = R)]),
(g(integer(E)) -> [g(R = E)]),
(m(A+B) -> [p(pplus(A, B, R))]),
% power_var_num/3 must occur before */2 to be useful
(g(power_var_num(E, V, N)) -> [p(pexp(V, N, R))]),
(m(A*B) -> [p(ptimes(A, B, R))]),
(m(A-B) -> [p(pplus(R,B,A))]),
(m(-A) -> [p(ptimes(-1,A,R))]),
(m(max(A,B)) -> [g(A #=< R), g(B #=< R), p(pmax(A, B, R))]),
(m(min(A,B)) -> [g(A #>= R), g(B #>= R), p(pmin(A, B, R))]),
(m(mod(A,B)) -> [g(B #\= 0), p(pmod(A, B, R))]),
(m(abs(A)) -> [g(R #>= 0), p(pabs(A, R))]),
(m(A/B) -> [g(B #\= 0), p(pdiv(A, B, R))]),
(m(A^B) -> [p(pexp(A, B, R))]),
(g(true) -> [g(domain_error(clpfd_expression, E))])
]).
% Here, we compile the committed choice language to a single
% predicate, parse_clpfd/2.
make_parse_clpfd(Clauses) :-
parse_clpfd_clauses(Clauses0),
maplist(goals_goal, Clauses0, Clauses).
goals_goal((Head :- Goals), (Head :- Body)) :-
list_goal(Goals, Body).
parse_clpfd_clauses(Clauses) :-
parse_clpfd(E, R, Matchers),
maplist(parse_matcher(E, R), Matchers, Clauses).
parse_matcher(E, R, Matcher, Clause) :-
Matcher = (Condition0 -> Goals0),
phrase((parse_condition(Condition0, E, Head),
parse_goals(Goals0)), Goals),
Clause = (parse_clpfd(Head, R) :- Goals).
parse_condition(g(Goal), E, E) --> [Goal, !].
parse_condition(m(Match), _, Match0) -->
{ copy_term(Match, Match0) },
[!],
{ term_variables(Match0, Vs0),
term_variables(Match, Vs)
},
parse_match_variables(Vs0, Vs).
parse_match_variables([], []) --> [].
parse_match_variables([V0|Vs0], [V|Vs]) -->
[parse_clpfd(V0, V)],
parse_match_variables(Vs0, Vs).
parse_goals([]) --> [].
parse_goals([G|Gs]) --> parse_goal(G), parse_goals(Gs).
parse_goal(g(Goal)) --> [Goal].
parse_goal(p(Prop)) -->
[make_propagator(Prop, P)],
{ term_variables(Prop, Vs) },
parse_init(Vs, P),
[trigger_once(P)].
parse_init([], _) --> [].
parse_init([V|Vs], P) --> [init_propagator(V, P)], parse_init(Vs, P).
%?- set_prolog_flag(toplevel_print_options, [portray(true)]),
% clpfd:parse_clpfd_clauses(Clauses), maplist(portray_clause, Clauses).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
trigger_once(Prop) :- trigger_prop(Prop), do_queue.
neq(A, B) :- propagator_init_trigger(pneq(A, B)).
propagator_init_trigger(P) -->
{ term_variables(P, Vs) },
propagator_init_trigger(Vs, P).
propagator_init_trigger(Vs, P) -->
[p(Prop)],
{ make_propagator(P, Prop),
maplist(prop_init(Prop), Vs),
trigger_once(Prop) }.
propagator_init_trigger(P) :-
phrase(propagator_init_trigger(P), _).
propagator_init_trigger(Vs, P) :-
phrase(propagator_init_trigger(Vs, P), _).
prop_init(Prop, V) :- init_propagator(V, Prop).
geq(A, B) :-
( fd_get(A, AD, APs) ->
domain_infimum(AD, AI),
( fd_get(B, BD, _) ->
domain_supremum(BD, BS),
( AI cis_geq BS -> true
; propagator_init_trigger(pgeq(A,B))
)
; domain_remove_smaller_than(AD, B, AD1),
fd_put(A, AD1, APs),
do_queue
)
; fd_get(B, BD, BPs) ->
domain_remove_greater_than(BD, A, BD1),
fd_put(B, BD1, BPs),
do_queue
; A >= B
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Naive parsing of inequalities and disequalities can result in a lot
of unnecessary work if expressions of non-trivial depth are
involved: Auxiliary variables are introduced for sub-expressions,
and propagation proceeds on them as if they were involved in a
tighter constraint (like equality), whereas eventually only very
little of the propagated information is actually used. For example,
only extremal values are of interest in inequalities. Introducing
auxiliary variables should be avoided when possible, and
specialised propagators should be used for common constraints.
We again use a simple committed-choice language for matching
special cases of constraints. m_c(M,C) means that M matches and C
holds. d(X, Y) means decomposition, i.e., it is short for
g(parse_clpfd(X, Y)). r(X, Y) means to rematch with X and Y.
Two things are important: First, although the actual constraint
functors (#\=2, #=/2 etc.) are used in the description, they must
expand to the respective auxiliary predicates (match_expand/2)
because the actual constraints are subject to goal expansion.
Second, when specialised constraints (like scalar product) post
simpler constraints on their own, these simpler versions must be
handled separately and must occur before.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
match_expand(#>=, clpfd_geq_).
match_expand(#=, clpfd_equal_).
match_expand(#\=, clpfd_neq).
symmetric(#=).
symmetric(#\=).
matches([
(m_c(any(X) #>= any(Y), left_right_linsum_const(X, Y, Cs, Vs, Const)) ->
[g(( Cs = [1], Vs = [A] -> geq(A, Const)
; Cs = [-1], Vs = [A] -> Const1 is -Const, geq(Const1, A)
; Cs = [1,1], Vs = [A,B] -> A+B #= S, geq(S, Const)
; Cs = [1,-1], Vs = [A,B] ->
( Const =:= 0 -> geq(A, B)
; C1 is -Const,
propagator_init_trigger(x_leq_y_plus_c(B, A, C1))
)
; Cs = [-1,1], Vs = [A,B] ->
( Const =:= 0 -> geq(B, A)
; C1 is -Const,
propagator_init_trigger(x_leq_y_plus_c(A, B, C1))
)
; Cs = [-1,-1], Vs = [A,B] ->
A+B #= S, Const1 is -Const, geq(Const1, S)
; scalar_product_(#>=, Cs, Vs, Const)
))]),
(m(any(X) - any(Y) #>= integer(C)) -> [d(X, X1), d(Y, Y1), g(C1 is -C), p(x_leq_y_plus_c(Y1, X1, C1))]),
(m(integer(X) #>= any(Z) + integer(A)) -> [g(C is X - A), r(C, Z)]),
(m(abs(any(X)-any(Y)) #>= integer(I)) -> [d(X, X1), d(Y, Y1), p(absdiff_geq(X1, Y1, I))]),
(m(abs(any(X)) #>= integer(I)) -> [d(X, RX), g((I>0 -> I1 is -I, RX in inf..I1 \/ I..sup; true))]),
(m(integer(I) #>= abs(any(X))) -> [d(X, RX), g(I>=0), g(I1 is -I), g(RX in I1..I)]),
(m(any(X) #>= any(Y)) -> [d(X, RX), d(Y, RY), g(geq(RX, RY))]),
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
(m(var(X) #= var(Y)) -> [g(constrain_to_integer(X)), g(X=Y)]),
(m(var(X) #= var(Y)+var(Z)) -> [p(pplus(Y,Z,X))]),
(m(var(X) #= var(Y)-var(Z)) -> [p(pplus(X,Z,Y))]),
(m(var(X) #= var(Y)*var(Z)) -> [p(ptimes(Y,Z,X))]),
(m(var(X) #= -var(Z)) -> [p(ptimes(-1, Z, X))]),
(m_c(any(X) #= any(Y), left_right_linsum_const(X, Y, Cs, Vs, S)) ->
[g(( Cs = [] -> S =:= 0
; Cs = [C|CsRest],
gcd(CsRest, C, GCD),
S mod GCD =:= 0,
scalar_product_(#=, Cs, Vs, S)
))]),
(m(var(X) #= any(Y)) -> [d(Y,X)]),
(m(any(X) #= any(Y)) -> [d(X, RX), d(Y, RX)]),
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
(m(var(X) #\= integer(Y)) -> [g(neq_num(X, Y))]),
(m(var(X) #\= var(Y)) -> [g(neq(X,Y))]),
(m(var(X) #\= var(Y) + var(Z)) -> [p(x_neq_y_plus_z(X, Y, Z))]),
(m(var(X) #\= var(Y) - var(Z)) -> [p(x_neq_y_plus_z(Y, X, Z))]),
(m(var(X) #\= var(Y)*var(Z)) -> [p(ptimes(Y,Z,P)), g(neq(X,P))]),
(m(integer(X) #\= abs(any(Y)-any(Z))) -> [d(Y, Y1), d(Z, Z1), p(absdiff_neq(Y1, Z1, X))]),
(m_c(any(X) #\= any(Y), left_right_linsum_const(X, Y, Cs, Vs, S)) ->
[g(scalar_product_(#\=, Cs, Vs, S))]),
(m(any(X) #\= any(Y) + any(Z)) -> [d(X, X1), d(Y, Y1), d(Z, Z1), p(x_neq_y_plus_z(X1, Y1, Z1))]),
(m(any(X) #\= any(Y) - any(Z)) -> [d(X, X1), d(Y, Y1), d(Z, Z1), p(x_neq_y_plus_z(Y1, X1, Z1))]),
(m(any(X) #\= any(Y)) -> [d(X, RX), d(Y, RY), g(neq(RX, RY))])
]).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
We again compile the committed-choice matching language to the
intended auxiliary predicates. We now must take care not to
unintentionally unify a variable with a complex term.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
make_matches(Clauses) :-
matches(Ms),
findall(F, (member((M->_), Ms), arg(1, M, M1), functor(M1, F, _)), Fs0),
sort(Fs0, Fs),
maplist(prevent_cyclic_argument, Fs, PrevCyclicClauses),
phrase(matchers(Ms), Clauses0),
maplist(goals_goal, Clauses0, MatcherClauses),
append(PrevCyclicClauses, MatcherClauses, Clauses1),
sort_by_predicate(Clauses1, Clauses).
sort_by_predicate(Clauses, ByPred) :-
map_list_to_pairs(predname, Clauses, Keyed),
keysort(Keyed, KeyedByPred),
pairs_values(KeyedByPred, ByPred).
predname((H:-_), Key) :- !, predname(H, Key).
predname(M:H, M:Key) :- !, predname(H, Key).
predname(H, Name/Arity) :- !, functor(H, Name, Arity).
prevent_cyclic_argument(F0, Clause) :-
match_expand(F0, F),
Head =.. [F,X,Y],
Clause = (Head :- ( cyclic_term(X) ->
domain_error(clpfd_expression, X)
; cyclic_term(Y) ->
domain_error(clpfd_expression, Y)
; false
)).
matchers([]) --> [].
matchers([(Condition->Goals)|Ms]) -->
matcher(Condition, Goals),
matchers(Ms).
matcher(m(M), Gs) --> matcher(m_c(M,true), Gs).
matcher(m_c(Matcher,Cond), Gs) -->
[(Head :- Goals0)],
{ Matcher =.. [F,A,B],
match_expand(F, Expand),
Head =.. [Expand,X,Y],
phrase((match(A, X), match(B, Y)), Goals0, [Cond,!|Goals1]),
phrase(match_goals(Gs, Expand), Goals1) },
( { symmetric(F), \+ (subsumes_chk(A, B), subsumes_chk(B, A)) } ->
{ Head1 =.. [Expand,Y,X] },
[(Head1 :- Goals0)]
; []
).
match(any(A), T) --> [A = T].
match(var(V), T) --> [v_or_i(T), V = T].
match(integer(I), T) --> [integer(T), I = T].
match(-X, T) --> [nonvar(T), T = -A], match(X, A).
match(abs(X), T) --> [nonvar(T), T = abs(A)], match(X, A).
match(X+Y, T) --> [nonvar(T), T = A + B], match(X, A), match(Y, B).
match(X-Y, T) --> [nonvar(T), T = A - B], match(X, A), match(Y, B).
match(X*Y, T) --> [nonvar(T), T = A * B], match(X, A), match(Y, B).
match_goals([], _) --> [].
match_goals([G|Gs], F) --> match_goal(G, F), match_goals(Gs, F).
match_goal(r(X,Y), F) --> { G =.. [F,X,Y] }, [G].
match_goal(d(X,Y), _) --> [parse_clpfd(X, Y)].
match_goal(g(Goal), _) --> [Goal].
match_goal(p(Prop), _) -->
[make_propagator(Prop, P)],
{ term_variables(Prop, Vs) },
parse_init(Vs, P),
[trigger_once(P)].
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ?X #>= ?Y
%
% X is greater than or equal to Y.
X #>= Y :- clpfd_geq(X, Y).
clpfd_geq(X, Y) :- clpfd_geq_(X, Y), reinforce(X), reinforce(Y).
%% ?X #=< ?Y
%
% X is less than or equal to Y.
X #=< Y :- Y #>= X.
%% ?X #= ?Y
%
% X equals Y.
X #= Y :- clpfd_equal(X, Y).
clpfd_equal(X, Y) :- clpfd_equal_(X, Y), reinforce(X).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Conditions under which an equality can be compiled to built-in
arithmetic. Their order is significant.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
expr_conds(E, E) --> { var(E) }, !, [integer(E)].
expr_conds(E, E) --> { integer(E) }, !, [].
expr_conds(-E0, -E) --> expr_conds(E0, E).
expr_conds(abs(E0), abs(E)) --> expr_conds(E0, E).
expr_conds(A0+B0, A+B) --> expr_conds(A0, A), expr_conds(B0, B).
expr_conds(A0*B0, A*B) --> expr_conds(A0, A), expr_conds(B0, B).
expr_conds(A0-B0, A-B) --> expr_conds(A0, A), expr_conds(B0, B).
expr_conds(A0/B0, A//B) --> % "/" becomes "//"
expr_conds(A0, A), expr_conds(B0, B),
[B =\= 0].
expr_conds(min(A0,B0), min(A,B)) --> expr_conds(A0, A), expr_conds(B0, B).
expr_conds(max(A0,B0), max(A,B)) --> expr_conds(A0, A), expr_conds(B0, B).
expr_conds(A0 mod B0, A mod B) -->
expr_conds(A0, A), expr_conds(B0, B),
[B =\= 0].
expr_conds(A0^B0, A^B) -->
expr_conds(A0, A), expr_conds(B0, B),
[(B >= 0 ; A =:= -1)].
:- multifile
user:goal_expansion/2.
:- dynamic
user:goal_expansion/2.
user:goal_expansion(X0 #= Y0, Equal) :-
\+ current_prolog_flag(clpfd_goal_expansion, false),
phrase(clpfd:expr_conds(X0, X), CsX),
phrase(clpfd:expr_conds(Y0, Y), CsY),
clpfd:list_goal(CsX, CondX),
clpfd:list_goal(CsY, CondY),
Equal = ( CondX ->
( var(Y) -> Y is X
; CondY -> X =:= Y
; T is X, clpfd:clpfd_equal(T, Y0)
)
; CondY ->
( var(X) -> X is Y
; T is Y, clpfd:clpfd_equal(X0, T)
)
; clpfd:clpfd_equal(X0, Y0)
).
user:goal_expansion(X0 #>= Y0, Geq) :-
\+ current_prolog_flag(clpfd_goal_expansion, false),
phrase(clpfd:expr_conds(X0, X), CsX),
phrase(clpfd:expr_conds(Y0, Y), CsY),
clpfd:list_goal(CsX, CondX),
clpfd:list_goal(CsY, CondY),
Geq = ( CondX ->
( CondY -> X >= Y
; T is X, clpfd:clpfd_geq(T, Y0)
)
; CondY -> T is Y, clpfd:clpfd_geq(X0, T)
; clpfd:clpfd_geq(X0, Y0)
).
user:goal_expansion(X #=< Y, Leq) :- user:goal_expansion(Y #>= X, Leq).
user:goal_expansion(X #> Y, Gt) :- user:goal_expansion(X #>= Y+1, Gt).
user:goal_expansion(X #< Y, Lt) :- user:goal_expansion(Y #> X, Lt).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
linsum(X, S, S) --> { var(X) }, !, [vn(X,1)].
linsum(I, S0, S) --> { integer(I), !, S is S0 + I }.
linsum(-A, S0, S) --> mulsum(A, -1, S0, S).
linsum(N*A, S0, S) --> { integer(N) }, !, mulsum(A, N, S0, S).
linsum(A*N, S0, S) --> { integer(N) }, !, mulsum(A, N, S0, S).
linsum(A+B, S0, S) --> linsum(A, S0, S1), linsum(B, S1, S).
linsum(A-B, S0, S) --> linsum(A, S0, S1), mulsum(B, -1, S1, S).
mulsum(A, M, S0, S) -->
{ phrase(linsum(A, 0, CA), As), S is S0 + M*CA },
lin_mul(As, M).
lin_mul([], _) --> [].
lin_mul([vn(X,N0)|VNs], M) --> { N is N0*M }, [vn(X,N)], lin_mul(VNs, M).
v_or_i(V) :- var(V), !.
v_or_i(I) :- integer(I).
left_right_linsum_const(Left, Right, Cs, Vs, Const) :-
phrase(linsum(Left, 0, CL), Lefts0, Rights),
phrase(linsum(Right, 0, CR), Rights0),
maplist(linterm_negate, Rights0, Rights),
msort(Lefts0, Lefts),
Lefts = [vn(First,N)|LeftsRest],
vns_coeffs_variables(LeftsRest, N, First, Cs0, Vs0),
filter_linsum(Cs0, Vs0, Cs, Vs),
Const is CR - CL.
%format("linear sum: ~w ~w ~w\n", [Cs,Vs,Const]).
linterm_negate(vn(V,N0), vn(V,N)) :- N is -N0.
vns_coeffs_variables([], N, V, [N], [V]).
vns_coeffs_variables([vn(V,N)|VNs], N0, V0, Ns, Vs) :-
( V == V0 ->
N1 is N0 + N,
vns_coeffs_variables(VNs, N1, V0, Ns, Vs)
; Ns = [N0|NRest],
Vs = [V0|VRest],
vns_coeffs_variables(VNs, N, V, NRest, VRest)
).
filter_linsum([], [], [], []).
filter_linsum([C0|Cs0], [V0|Vs0], Cs, Vs) :-
( C0 =:= 0 ->
constrain_to_integer(V0),
filter_linsum(Cs0, Vs0, Cs, Vs)
; Cs = [C0|Cs1], Vs = [V0|Vs1],
filter_linsum(Cs0, Vs0, Cs1, Vs1)
).
gcd([], G, G).
gcd([N|Ns], G0, G) :-
G1 is gcd(N, G0),
gcd(Ns, G1, G).
even(N) :- N mod 2 =:= 0.
odd(N) :- \+ even(N).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
k-th root of N, if N is a k-th power.
TODO: Replace this when the GMP function becomes available.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
integer_kth_root(N, K, R) :-
( even(K) ->
N >= 0
; true
),
( N < 0 ->
odd(K),
integer_kroot(N, 0, N, K, R)
; integer_kroot(0, N, N, K, R)
).
integer_kroot(L, U, N, K, R) :-
( L =:= U -> N =:= L^K, R = L
; L + 1 =:= U ->
( L^K =:= N -> R = L
; U^K =:= N -> R = U
; fail
)
; Mid is (L + U)//2,
( Mid^K > N ->
integer_kroot(L, Mid, N, K, R)
; integer_kroot(Mid, U, N, K, R)
)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Largest R such that R^K =< N.
TODO: Replace this when the GMP function becomes available.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
integer_kth_root_leq(N, K, R) :-
( even(K) ->
N >= 0
; true
),
( N < 0 ->
odd(K),
integer_kroot_leq(N, 0, N, K, R)
; integer_kroot_leq(0, N, N, K, R)
).
integer_kroot_leq(L, U, N, K, R) :-
( L =:= U -> R = L
; L + 1 =:= U ->
( U^K =< N -> R = U
; R = L
)
; Mid is (L + U)//2,
( Mid^K > N ->
integer_kroot_leq(L, Mid, N, K, R)
; integer_kroot_leq(Mid, U, N, K, R)
)
).
%% ?X #\= ?Y
%
% X is not Y.
X #\= Y :- clpfd_neq(X, Y), do_queue.
% X #\= Y + Z
x_neq_y_plus_z(X, Y, Z) :-
propagator_init_trigger(x_neq_y_plus_z(X,Y,Z)).
% X is distinct from the number N. This is used internally, and does
% not reinforce other constraints.
neq_num(X, N) :-
( fd_get(X, XD, XPs) ->
domain_remove(XD, N, XD1),
fd_put(X, XD1, XPs)
; X =\= N
).
%% ?X #> ?Y
%
% X is greater than Y.
X #> Y :- X #>= Y + 1.
%% #<(?X, ?Y)
%
% X is less than Y. In addition to its regular use in problems that
% require it, this constraint can also be useful to eliminate
% uninteresting symmetries from a problem. For example, all possible
% matches between pairs built from four players in total:
%
% ==
% ?- Vs = [A,B,C,D], Vs ins 1..4, all_different(Vs), A #< B, C #< D, A #< C,
% findall(pair(A,B)-pair(C,D), label(Vs), Ms).
% Ms = [pair(1, 2)-pair(3, 4), pair(1, 3)-pair(2, 4), pair(1, 4)-pair(2, 3)]
% ==
X #< Y :- Y #> X.
%% #\ +Q
%
% The reifiable constraint Q does _not_ hold. For example, to obtain
% the complement of a domain:
%
% ==
% ?- #\ X in -3..0\/10..80.
% X in inf.. -4\/1..9\/81..sup.
% ==
#\ Q :- reify(Q, 0), do_queue.
%% ?P #<==> ?Q
%
% P and Q are equivalent. For example:
%
% ==
% ?- X #= 4 #<==> B, X #\= 4.
% B = 0,
% X in inf..3\/5..sup.
% ==
% The following example uses reified constraints to relate a list of
% finite domain variables to the number of occurrences of a given value:
%
% ==
% :- use_module(library(clpfd)).
%
% vs_n_num(Vs, N, Num) :-
% maplist(eq_b(N), Vs, Bs),
% sum(Bs, #=, Num).
%
% eq_b(X, Y, B) :- X #= Y #<==> B.
% ==
%
% Sample queries and their results:
%
% ==
% ?- Vs = [X,Y,Z], Vs ins 0..1, vs_n_num(Vs, 4, Num).
% Vs = [X, Y, Z],
% Num = 0,
% X in 0..1,
% Y in 0..1,
% Z in 0..1.
%
% ?- vs_n_num([X,Y,Z], 2, 3).
% X = 2,
% Y = 2,
% Z = 2.
% ==
L #<==> R :- reify(L, B), reify(R, B), do_queue.
%% ?P #==> ?Q
%
% P implies Q.
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Implication is special in that created auxiliary constraints can be
retracted when the implication becomes entailed, for example:
%?- X + 1 #= Y #==> Z, Z #= 1.
%@ Z = 1,
%@ X in inf..sup,
%@ Y in inf..sup.
We cannot use propagator_init_trigger/1 here because the states of
auxiliary propagators are themselves part of the propagator.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
L #==> R :-
phrase((reify(L, BL),reify(R, BR)), Ps),
propagator_init_trigger([BL,BR], pimpl(BL,BR,Ps)).
%% ?P #<== ?Q
%
% Q implies P.
L #<== R :- R #==> L.
%% ?P #/\ ?Q
%
% P and Q hold.
L #/\ R :- reify(L, 1), reify(R, 1), do_queue.
%% ?P #\/ ?Q
%
% P or Q holds. For example, the sum of natural numbers below 1000
% that are multiples of 3 or 5:
%
% ==
% ?- findall(N, (N mod 3 #= 0 #\/ N mod 5 #= 0, N in 0..999, indomain(N)), Ns), sum(Ns, #=, Sum).
% Ns = [0, 3, 5, 6, 9, 10, 12, 15, 18|...],
% Sum = 233168.
% ==
L #\/ R :-
reify(L, X, Ps1),
reify(R, Y, Ps2),
propagator_init_trigger([X,Y], reified_or(X,Ps1,Y,Ps2,1)).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
A constraint that is being reified need not hold. Therefore, in
X/Y, Y can as well be 0, for example. Note that it is OK to
constrain the *result* of an expression (which does not appear
explicitly in the expression and is not visible to the outside),
but not the operands, except for requiring that they be integers.
In contrast to parse_clpfd/2, the result of an expression can now
also be undefined, in which case the constraint cannot hold.
Therefore, the committed-choice language is extended by an element
d(D) that states D is 1 iff all subexpressions are defined. a(V)
means that V is an auxiliary variable that was introduced while
parsing a compound expression. a(X,V) means V is auxiliary unless
it is ==/2 X, and a(X,Y,V) means V is auxiliary unless it is ==/2 X
or Y. l(L) means the literal L occurs in the described list.
When a constraint becomes entailed or subexpressions become
undefined, created auxiliary constraints are killed, and the
"clpfd" attribute is removed from auxiliary variables.
For (/)/2 and mod/2, we create a skeleton propagator and remember
it as an auxiliary constraint. The corresponding reified
propagators can use the skeleton when the constraint is defined.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
parse_reified(E, R, D,
[(g(cyclic_term(E)) -> [g(domain_error(clpfd_expression, E))]),
(g(var(E)) -> [g(constrain_to_integer(E)), g(R = E), g(D=1)]),
(g(integer(E)) -> [g(R=E), g(D=1)]),
(m(A+B) -> [d(D), p(pplus(A,B,R)), a(A,B,R)]),
(m(A*B) -> [d(D), p(ptimes(A,B,R)), a(A,B,R)]),
(m(A-B) -> [d(D), p(pplus(R,B,A)), a(A,B,R)]),
(m(-A) -> [d(D), p(ptimes(-1,A,R)), a(R)]),
(m(max(A,B)) -> [d(D), p(pgeq(R, A)), p(pgeq(R, B)), p(pmax(A,B,R)), a(A,B,R)]),
(m(min(A,B)) -> [d(D), p(pgeq(A, R)), p(pgeq(B, R)), p(pmin(A,B,R)), a(A,B,R)]),
(m(A mod B) ->
[d(D1), l(p(P)), g(make_propagator(pmod(X,Y,Z), P)),
p([A,B,D2,R], reified_mod(A,B,D2,[X,Y,Z]-P,R)),
p(reified_and(D1,[],D2,[],D)), a(D2), a(A,B,R)]),
(m(abs(A)) -> [g(R#>=0), d(D), p(pabs(A, R)), a(A,R)]),
(m(A/B) ->
[d(D1), l(p(P)), g(make_propagator(pdiv(X,Y,Z), P)),
p([A,B,D2,R], reified_div(A,B,D2,[X,Y,Z]-P,R)),
p(reified_and(D1,[],D2,[],D)), a(D2), a(A,B,R)]),
(m(A^B) -> [d(D), p(pexp(A,B,R)), a(A,B,R)]),
(g(true) -> [g(domain_error(clpfd_expression, E))])]
).
% Again, we compile this to a predicate, parse_reified_clpfd//3. This
% time, it is a DCG that describes the list of auxiliary variables and
% propagators for the given expression, in addition to relating it to
% its reified (Boolean) finite domain variable and its Boolean
% definedness.
make_parse_reified(Clauses) :-
parse_reified_clauses(Clauses0),
maplist(goals_goal_dcg, Clauses0, Clauses).
goals_goal_dcg((Head --> Goals), Clause) :-
list_goal(Goals, Body),
expand_term((Head --> Body), Clause).
parse_reified_clauses(Clauses) :-
parse_reified(E, R, D, Matchers),
maplist(parse_reified(E, R, D), Matchers, Clauses).
parse_reified(E, R, D, Matcher, Clause) :-
Matcher = (Condition0 -> Goals0),
phrase((reified_condition(Condition0, E, Head, Ds),
reified_goals(Goals0, Ds)), Goals, [a(D)]),
Clause = (parse_reified_clpfd(Head, R, D) --> Goals).
reified_condition(g(Goal), E, E, []) --> [{Goal}, !].
reified_condition(m(Match), _, Match0, Ds) -->
{ copy_term(Match, Match0) },
[!],
{ term_variables(Match0, Vs0),
term_variables(Match, Vs)
},
reified_variables(Vs0, Vs, Ds).
reified_variables([], [], []) --> [].
reified_variables([V0|Vs0], [V|Vs], [D|Ds]) -->
[parse_reified_clpfd(V0, V, D)],
reified_variables(Vs0, Vs, Ds).
reified_goals([], _) --> [].
reified_goals([G|Gs], Ds) --> reified_goal(G, Ds), reified_goals(Gs, Ds).
reified_goal(d(D), Ds) -->
( { Ds = [X] } -> [{D=X}]
; { Ds = [X,Y] } ->
{ phrase(reified_goal(p(reified_and(X,[],Y,[],D)), _), Gs),
list_goal(Gs, Goal) },
[( {X==1, Y==1} -> {D = 1} ; Goal )]
; { domain_error(one_or_two_element_list, Ds) }
).
reified_goal(g(Goal), _) --> [{Goal}].
reified_goal(p(Vs, Prop), _) -->
[{make_propagator(Prop, P)}],
parse_init_dcg(Vs, P),
[{trigger_once(P)}],
[( { arg(2, P, S), S == dead } -> [] ; [p(P)])].
reified_goal(p(Prop), Ds) -->
{ term_variables(Prop, Vs) },
reified_goal(p(Vs,Prop), Ds).
reified_goal(a(V), _) --> [a(V)].
reified_goal(a(X,V), _) --> [a(X,V)].
reified_goal(a(X,Y,V), _) --> [a(X,Y,V)].
reified_goal(l(L), _) --> [[L]].
parse_init_dcg([], _) --> [].
parse_init_dcg([V|Vs], P) --> [{init_propagator(V, P)}], parse_init_dcg(Vs, P).
%?- set_prolog_flag(toplevel_print_options, [portray(true)]),
% clpfd:parse_reified_clauses(Cs), maplist(portray_clause, Cs).
reify(E, B) :- reify(E, B, _).
reify(Expr, B, Ps) :- phrase(reify(Expr, B), Ps).
reify(E, B) --> { B in 0..1 }, reify_(E, B).
reify_(E, _) -->
{ cyclic_term(E), !, domain_error(clpfd_reifiable_expression, E) }.
reify_(E, B) --> { var(E), !, E = B }.
reify_(E, B) --> { integer(E), !, E = B }.
reify_(V in Drep, B) --> !,
{ drep_to_domain(Drep, Dom), fd_variable(V) },
propagator_init_trigger(reified_in(V,Dom,B)),
a(B).
reify_(tuples_in(Tuples, Relation), B) --> !,
{ must_be(list, Tuples),
append(Tuples, Vs),
maplist(fd_variable, Vs),
must_be(list(list(integer)), Relation),
maplist(relation_tuple_b_prop(Relation), Tuples, Bs, Ps),
( Bs == [] -> B = 1
; Bs = [B1|Rest],
bs_and(Rest, B1, And),
And #<==> B
) },
list(Ps),
as([B|Bs]).
reify_(finite_domain(V), B) --> !,
{ fd_variable(V) },
propagator_init_trigger(reified_fd(V,B)),
a(B).
reify_(L #>= R, B) --> !,
{ phrase((parse_reified_clpfd(L, LR, LD),
parse_reified_clpfd(R, RR, RD)), Ps) },
list(Ps),
propagator_init_trigger([LD,LR,RD,RR,B], reified_geq(LD,LR,RD,RR,Ps,B)),
a(B).
reify_(L #> R, B) --> !, reify_(L #>= (R+1), B).
reify_(L #=< R, B) --> !, reify_(R #>= L, B).
reify_(L #< R, B) --> !, reify_(R #>= (L+1), B).
reify_(L #= R, B) --> !,
{ phrase((parse_reified_clpfd(L, LR, LD),
parse_reified_clpfd(R, RR, RD)), Ps) },
list(Ps),
propagator_init_trigger([LD,LR,RD,RR,B], reified_eq(LD,LR,RD,RR,Ps,B)),
a(B).
reify_(L #\= R, B) --> !,
{ phrase((parse_reified_clpfd(L, LR, LD),
parse_reified_clpfd(R, RR, RD)), Ps) },
list(Ps),
propagator_init_trigger([LD,LR,RD,RR,B], reified_neq(LD,LR,RD,RR,Ps,B)),
a(B).
reify_(L #==> R, B) --> !, reify_((#\ L) #\/ R, B).
reify_(L #<== R, B) --> !, reify_(R #==> L, B).
reify_(L #<==> R, B) --> !, reify_((L #==> R) #/\ (R #==> L), B).
reify_(L #/\ R, B) --> !,
{ reify(L, LR, Ps1),
reify(R, RR, Ps2) },
list(Ps1), list(Ps2),
propagator_init_trigger([LR,RR,B], reified_and(LR,Ps1,RR,Ps2,B)),
a(LR, RR, B).
reify_(L #\/ R, B) --> !,
{ reify(L, LR, Ps1),
reify(R, RR, Ps2) },
list(Ps1), list(Ps2),
propagator_init_trigger([LR,RR,B], reified_or(LR,Ps1,RR,Ps2,B)),
a(LR, RR, B).
reify_(#\ Q, B) --> !,
reify(Q, QR),
propagator_init_trigger(reified_not(QR,B)),
a(B).
reify_(E, _) --> !, { domain_error(clpfd_reifiable_expression, E) }.
list([]) --> [].
list([L|Ls]) --> [L], list(Ls).
a(X,Y,B) -->
( { nonvar(X) } -> a(Y, B)
; { nonvar(Y) } -> a(X, B)
; [a(X,Y,B)]
).
a(X, B) -->
( { var(X) } -> [a(X, B)]
; a(B)
).
a(B) -->
( { var(B) } -> [a(B)]
; []
).
as([]) --> [].
as([B|Bs]) --> a(B), as(Bs).
bs_and([], A, A).
bs_and([B|Bs], A0, A) :-
bs_and(Bs, A0#/\B, A).
relation_tuple_b_prop(Relation, Tuple, B, p(Prop)) :-
put_attr(R, clpfd_relation, Relation),
make_propagator(reified_tuple_in(Tuple, R, B), Prop),
tuple_freeze(Tuple, Tuple, Prop),
init_propagator(B, Prop).
% Match variables to created skeleton.
skeleton(Vs, Vs-Prop) :-
maplist(prop_init(Prop), Vs),
trigger_once(Prop).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
A drep is a user-accessible and visible domain representation. N,
N..M, and D1 \/ D2 are dreps, if D1 and D2 are dreps.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
is_drep(V) :- var(V), !, instantiation_error(V).
is_drep(N) :- integer(N), !.
is_drep(N..M) :- !, drep_bound(N), drep_bound(M), N \== sup, M \== inf.
is_drep(D1\/D2) :- !, is_drep(D1), is_drep(D2).
drep_bound(V) :- var(V), !, instantiation_error(V).
drep_bound(sup) :- !. % should infinities be accessible?
drep_bound(inf) :- !.
drep_bound(I) :- integer(I), !.
drep_to_intervals(I) --> { integer(I) }, !, [n(I)-n(I)].
drep_to_intervals(N..M) -->
( { defaulty_to_bound(N, N1), defaulty_to_bound(M, M1),
N1 cis_leq M1} -> [N1-M1]
; []
).
drep_to_intervals(D1 \/ D2) -->
drep_to_intervals(D1), drep_to_intervals(D2).
drep_to_domain(DR, D) :-
( is_drep(DR) -> true
; domain_error(clpfd_domain, DR)
),
phrase(drep_to_intervals(DR), Is0),
merge_intervals(Is0, Is1),
intervals_to_domain(Is1, D).
merge_intervals(Is0, Is) :-
keysort(Is0, Is1),
merge_overlapping(Is1, Is).
merge_overlapping([], []).
merge_overlapping([A-B0|ABs0], [A-B|ABs]) :-
merge_remaining(ABs0, B0, B, Rest),
merge_overlapping(Rest, ABs).
merge_remaining([], B, B, []).
merge_remaining([N-M|NMs], B0, B, Rest) :-
Next cis B0 + n(1),
( N cis_gt Next -> B = B0, Rest = [N-M|NMs]
; B1 cis max(B0,M),
merge_remaining(NMs, B1, B, Rest)
).
domain(V, Dom) :-
( fd_get(V, Dom0, VPs) ->
domains_intersection(Dom, Dom0, Dom1),
%format("intersected\n: ~w\n ~w\n==> ~w\n\n", [Dom,Dom0,Dom1]),
fd_put(V, Dom1, VPs),
do_queue,
reinforce(V)
; domain_contains(Dom, V)
).
domains([], _).
domains([V|Vs], D) :- domain(V, D), domains(Vs, D).
props_number(fd_props(Gs,Bs,Os), N) :-
length(Gs, N1),
length(Bs, N2),
length(Os, N3),
N is N1 + N2 + N3.
fd_get(X, Dom, Ps) :-
( get_attr(X, clpfd, Attr) -> Attr = clpfd_attr(_,_,_,Dom,Ps)
; var(X) -> default_domain(Dom), Ps = fd_props([],[],[])
).
fd_get(X, Dom, Inf, Sup, Ps) :-
fd_get(X, Dom, Ps),
domain_infimum(Dom, Inf),
domain_supremum(Dom, Sup).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
By default, propagation always terminates. Currently, this is
ensured by allowing the left and right boundaries, as well as the
distance between the smallest and largest number occurring in the
domain representation to be changed at most once after a constraint
is posted, unless the domain is bounded. Set the experimental
Prolog flag 'clpfd_propagation' to 'full' to make the solver
propagate as much as possible. This can make queries
non-terminating, like: X #> abs(X), or: X #> Y, Y #> X, X #> 0.
Importantly, it can also make labeling non-terminating, as in:
?- B #==> X #> abs(X), indomain(B).
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
fd_put(X, Dom, Ps) :-
( current_prolog_flag(clpfd_propagation, full) ->
put_full(X, Dom, Ps)
; put_terminating(X, Dom, Ps)
).
put_terminating(X, Dom, Ps) :-
Dom \== empty,
( Dom = from_to(F, F) -> F = n(X)
; ( get_attr(X, clpfd, Attr) ->
Attr = clpfd_attr(Left,Right,Spread,OldDom, _OldPs),
put_attr(X, clpfd, clpfd_attr(Left,Right,Spread,Dom,Ps)),
( OldDom == Dom -> true
; ( Left == (.) -> Bounded = yes
; domain_infimum(Dom, Inf), domain_supremum(Dom, Sup),
( Inf = n(_), Sup = n(_) ->
Bounded = yes
; Bounded = no
)
),
( Bounded == yes ->
put_attr(X, clpfd, clpfd_attr(.,.,.,Dom,Ps)),
trigger_props(Ps, X, OldDom, Dom)
; % infinite domain; consider border and spread changes
domain_infimum(OldDom, OldInf),
( Inf == OldInf -> LeftP = Left
; LeftP = yes
),
domain_supremum(OldDom, OldSup),
( Sup == OldSup -> RightP = Right
; RightP = yes
),
domain_spread(OldDom, OldSpread),
domain_spread(Dom, NewSpread),
( NewSpread == OldSpread -> SpreadP = Spread
; SpreadP = yes
),
put_attr(X, clpfd, clpfd_attr(LeftP,RightP,SpreadP,Dom,Ps)),
( RightP == yes, Right = yes -> true
; LeftP == yes, Left = yes -> true
; SpreadP == yes, Spread = yes -> true
; trigger_props(Ps, X, OldDom, Dom)
)
)
)
; var(X) ->
put_attr(X, clpfd, clpfd_attr(no,no,no,Dom, Ps))
; true
)
).
domain_spread(Dom, Spread) :-
domain_smallest_finite(Dom, S),
domain_largest_finite(Dom, L),
Spread cis L - S.
smallest_finite(inf, Y, Y).
smallest_finite(n(N), _, n(N)).
domain_smallest_finite(from_to(F,T), S) :- smallest_finite(F, T, S).
domain_smallest_finite(split(_, L, _), S) :- domain_smallest_finite(L, S).
largest_finite(sup, Y, Y).
largest_finite(n(N), _, n(N)).
domain_largest_finite(from_to(F,T), L) :- largest_finite(T, F, L).
domain_largest_finite(split(_, _, R), L) :- domain_largest_finite(R, L).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
With terminating propagation, all relevant constraints get a
propagation opportunity whenever a new constraint is posted.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
reinforce(X) :-
( current_prolog_flag(clpfd_propagation, full) ->
% full propagation propagates everything in any case
true
; term_variables(X, Vs),
maplist(reinforce_, Vs),
do_queue
).
collect_variables(X, Vs0, Vs) :-
( fd_get(X, _, Ps) ->
term_variables(Ps, Vs1),
%all_collect(Vs1, [X|Vs0], Vs)
Vs = [X|Vs1]
; Vs = Vs0
).
all_collect([], Vs, Vs).
all_collect([X|Xs], Vs0, Vs) :-
( member(V, Vs0), X == V -> all_collect(Xs, Vs0, Vs)
; collect_variables(X, Vs0, Vs1),
all_collect(Xs, Vs1, Vs)
).
reinforce_(X) :-
( fd_var(X), fd_get(X, Dom, Ps) ->
put_full(X, Dom, Ps)
; true
).
put_full(X, Dom, Ps) :-
Dom \== empty,
( Dom = from_to(F, F) -> F = n(X)
; ( get_attr(X, clpfd, Attr) ->
Attr = clpfd_attr(_,_,_,OldDom, _OldPs),
put_attr(X, clpfd, clpfd_attr(no,no,no,Dom, Ps)),
%format("putting dom: ~w\n", [Dom]),
( OldDom == Dom -> true
; trigger_props(Ps, X, OldDom, Dom)
)
; var(X) -> %format('\t~w in ~w .. ~w\n',[X,L,U]),
put_attr(X, clpfd, clpfd_attr(no,no,no,Dom, Ps))
; true
)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
A propagator is a term of the form propagator(C, State), where C
represents a constraint, and State is a free variable that can be
used to destructively change the state of the propagator via
attributes. This can be used to avoid redundant invocation of the
same propagator, or to disable the propagator.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
make_propagator(C, propagator(C, _)).
trigger_props(fd_props(Gs,Bs,Os), X, D0, D) :-
trigger_props_(Os),
( ground(X) ->
trigger_props_(Gs),
trigger_props_(Bs)
; Bs \== [] ->
domain_infimum(D0, I0),
domain_infimum(D, I),
( I == I0 ->
domain_supremum(D0, S0),
domain_supremum(D, S),
( S == S0 -> true
; trigger_props_(Bs)
)
; trigger_props_(Bs)
)
; true
).
trigger_props(fd_props(Gs,Bs,Os), X) :-
trigger_props_(Os),
trigger_props_(Bs),
( ground(X) ->
trigger_props_(Gs)
; true
).
trigger_props(fd_props(Gs,Bs,Os)) :-
trigger_props_(Gs),
trigger_props_(Bs),
trigger_props_(Os).
trigger_props_([]).
trigger_props_([P|Ps]) :- trigger_prop(P), trigger_props_(Ps).
trigger_prop(Propagator) :-
arg(2, Propagator, State),
( State == dead -> true
; get_attr(State, clpfd_aux, queued) -> true
; b_getval('$clpfd_current_propagator', C), C == State -> true
; % passive
% format("triggering: ~w\n", [Propagator]),
put_attr(State, clpfd_aux, queued),
( arg(1, Propagator, C), functor(C, F, _), global_constraint(F) ->
push_slow_queue(Propagator)
; push_fast_queue(Propagator)
)
).
kill(State) :- del_attr(State, clpfd_aux), State = dead.
kill(State, Ps) :-
kill(State),
maplist(kill_entailed, Ps).
kill_entailed(p(Prop)) :-
arg(2, Prop, State),
kill(State).
kill_entailed(a(V)) :-
del_attr(V, clpfd).
kill_entailed(a(X,B)) :-
( X == B -> true
; del_attr(B, clpfd)
).
kill_entailed(a(X,Y,B)) :-
( X == B -> true
; Y == B -> true
; del_attr(B, clpfd)
).
no_reactivation(rel_tuple(_,_)).
%no_reactivation(scalar_product(_,_,_,_)).
activate_propagator(propagator(P,State)) :-
% format("running: ~w\n", [P]),
del_attr(State, clpfd_aux),
( no_reactivation(P) ->
b_setval('$clpfd_current_propagator', State),
run_propagator(P, State),
b_setval('$clpfd_current_propagator', [])
; run_propagator(P, State)
).
disable_queue :- b_setval('$clpfd_queue_status', disabled).
enable_queue :- b_setval('$clpfd_queue_status', enabled).
portray_propagator(propagator(P,_), F) :- functor(P, F, _).
portray_queue(V, []) :- var(V), !.
portray_queue([P|Ps], [F|Fs]) :-
portray_propagator(P, F),
portray_queue(Ps, Fs).
do_queue :-
% b_getval('$clpfd_queue', H-_),
% portray_queue(H, Port),
% format("queue: ~w\n", [Port]),
( b_getval('$clpfd_queue_status', enabled) ->
( fetch_propagator(Propagator) ->
activate_propagator(Propagator),
do_queue
; true
)
; true
).
init_propagator(Var, Prop) :-
( fd_get(Var, Dom, Ps0) ->
insert_propagator(Prop, Ps0, Ps),
fd_put(Var, Dom, Ps)
; true
).
constraint_wake(pneq, ground).
constraint_wake(x_neq_y_plus_z, ground).
constraint_wake(absdiff_neq, ground).
constraint_wake(pdifferent, ground).
constraint_wake(pexclude, ground).
constraint_wake(scalar_product_neq, ground).
constraint_wake(x_leq_y_plus_c, bounds).
constraint_wake(scalar_product_eq, bounds).
constraint_wake(scalar_product_leq, bounds).
constraint_wake(pplus, bounds).
constraint_wake(pgeq, bounds).
constraint_wake(pgcc_single, bounds).
constraint_wake(pgcc_check_single, bounds).
global_constraint(pdistinct).
global_constraint(pgcc).
global_constraint(pgcc_single).
global_constraint(pcircuit).
%global_constraint(rel_tuple).
%global_constraint(scalar_product_eq).
insert_propagator(Prop, Ps0, Ps) :-
Ps0 = fd_props(Gs,Bs,Os),
arg(1, Prop, Constraint),
functor(Constraint, F, _),
( constraint_wake(F, ground) ->
Ps = fd_props([Prop|Gs], Bs, Os)
; constraint_wake(F, bounds) ->
Ps = fd_props(Gs, [Prop|Bs], Os)
; Ps = fd_props(Gs, Bs, [Prop|Os])
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% lex_chain(+Lists)
%
% Lists are lexicographically non-decreasing.
lex_chain(Lss) :-
must_be(list(list), Lss),
maplist(maplist(fd_variable), Lss),
make_propagator(presidual(lex_chain(Lss)), Prop),
lex_chain_(Lss, Prop).
lex_chain_([], _).
lex_chain_([Ls|Lss], Prop) :-
maplist(prop_init(Prop), Ls),
lex_chain_lag(Lss, Ls),
lex_chain_(Lss, Prop).
lex_chain_lag([], _).
lex_chain_lag([Ls|Lss], Ls0) :-
lex_le(Ls0, Ls),
lex_chain_lag(Lss, Ls).
lex_le([], []).
lex_le([V1|V1s], [V2|V2s]) :-
V1 #=< V2,
( integer(V1) ->
( integer(V2) ->
( V1 =:= V2 -> lex_le(V1s, V2s) ; true )
; freeze(V2, lex_le([V1|V1s], [V2|V2s]))
)
; freeze(V1, lex_le([V1|V1s], [V2|V2s]))
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% tuples_in(+Tuples, +Relation).
%
% Relation must be a list of lists of integers. The elements of the
% list Tuples are constrained to be elements of Relation. Arbitrary
% finite relations, such as compatibility tables, can be modeled in
% this way. For example, if 1 is compatible with 2 and 5, and 4 is
% compatible with 0 and 3:
%
% ==
% ?- tuples_in([[X,Y]], [[1,2],[1,5],[4,0],[4,3]]), X = 4.
% X = 4,
% Y in 0\/3.
% ==
%
% As another example, consider a train schedule represented as a list
% of quadruples, denoting departure and arrival places and times for
% each train. In the following program, Ps is a feasible journey of
% length 3 from A to D via trains that are part of the given schedule.
%
% ==
% :- use_module(library(clpfd)).
%
% trains([[1,2,0,1],[2,3,4,5],[2,3,0,1],[3,4,5,6],[3,4,2,3],[3,4,8,9]]).
%
% threepath(A, D, Ps) :-
% Ps = [[A,B,_T0,T1],[B,C,T2,T3],[C,D,T4,_T5]],
% T2 #> T1,
% T4 #> T3,
% trains(Ts),
% tuples_in(Ps, Ts).
% ==
%
% In this example, the unique solution is found without labeling:
%
% ==
% ?- threepath(1, 4, Ps).
% Ps = [[1, 2, 0, 1], [2, 3, 4, 5], [3, 4, 8, 9]].
% ==
tuples_in(Tuples, Relation) :-
must_be(list, Tuples),
append(Tuples, Vs),
maplist(fd_variable, Vs),
must_be(list(list(integer)), Relation),
maplist(relation_tuple(Relation), Tuples),
do_queue.
relation_tuple(Relation, Tuple) :-
relation_unifiable(Relation, Tuple, Us, _, _),
( ground(Tuple) -> memberchk(Tuple, Relation)
; tuple_domain(Tuple, Us),
( Tuple = [_,_|_] -> tuple_freeze(Tuple, Us)
; true
)
).
tuple_domain([], _).
tuple_domain([T|Ts], Relation0) :-
lists_firsts_rests(Relation0, Firsts, Relation1),
( var(T) ->
( Firsts = [Unique] -> T = Unique
; list_to_domain(Firsts, FDom),
fd_get(T, TDom, TPs),
domains_intersection(TDom, FDom, TDom1),
fd_put(T, TDom1, TPs)
)
; true
),
tuple_domain(Ts, Relation1).
tuple_freeze(Tuple, Relation) :-
put_attr(R, clpfd_relation, Relation),
make_propagator(rel_tuple(R, Tuple), Prop),
tuple_freeze(Tuple, Tuple, Prop).
tuple_freeze([], _, _).
tuple_freeze([T|Ts], Tuple, Prop) :-
( var(T) ->
init_propagator(T, Prop),
trigger_prop(Prop)
; true
),
tuple_freeze(Ts, Tuple, Prop).
relation_unifiable([], _, [], Changed, Changed).
relation_unifiable([R|Rs], Tuple, Us, Changed0, Changed) :-
( all_in_domain(R, Tuple) ->
Us = [R|Rest],
relation_unifiable(Rs, Tuple, Rest, Changed0, Changed)
; relation_unifiable(Rs, Tuple, Us, true, Changed)
).
all_in_domain([], []).
all_in_domain([A|As], [T|Ts]) :-
( fd_get(T, Dom, _) ->
domain_contains(Dom, A)
; T =:= A
),
all_in_domain(As, Ts).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% trivial propagator, used only to remember pending constraints
run_propagator(presidual(_), _).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pdifferent(Left,Right,X,_), _MState) :-
( ground(X) ->
disable_queue,
exclude_fire(Left, Right, X),
enable_queue
; true
).
run_propagator(weak_distinct(Left,Right,X,_), _MState) :-
( ground(X) ->
disable_queue,
exclude_fire(Left, Right, X),
enable_queue
; outof_reducer(Left, Right, X)
%( var(X) -> kill_if_isolated(Left, Right, X, MState)
%; true
%)
).
run_propagator(pexclude(Left,Right,X), _) :-
( ground(X) ->
disable_queue,
exclude_fire(Left, Right, X),
enable_queue
; true
).
run_propagator(pdistinct(Ls), _MState) :-
distinct(Ls).
run_propagator(check_distinct(Left,Right,X), _) :-
\+ list_contains(Left, X),
\+ list_contains(Right, X).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pelement(N, Is, V), MState) :-
( fd_get(N, NDom, _) ->
( fd_get(V, VDom, VPs) ->
integers_remaining(Is, 1, NDom, empty, VDom1),
domains_intersection(VDom, VDom1, VDom2),
fd_put(V, VDom2, VPs)
; true
)
; kill(MState), nth1(N, Is, V)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pgcc_single(Vs, Pairs), _) :- gcc_global(Vs, Pairs).
run_propagator(pgcc_check_single(Pairs), _) :- gcc_check(Pairs).
run_propagator(pgcc_check(Pairs), _) :- gcc_check(Pairs).
run_propagator(pgcc(Vs, _, Pairs), _) :- gcc_global(Vs, Pairs).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pcircuit(Vs), _MState) :-
distinct(Vs),
propagate_circuit(Vs).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pneq(A, B), MState) :-
( nonvar(A) ->
( nonvar(B) -> A =\= B, kill(MState)
; fd_get(B, BD0, BExp0),
domain_remove(BD0, A, BD1),
kill(MState),
fd_put(B, BD1, BExp0)
)
; nonvar(B) -> run_propagator(pneq(B, A), MState)
; A \== B,
fd_get(A, _, AI, AS, _), fd_get(B, _, BI, BS, _),
( AS cis_lt BI -> kill(MState)
; AI cis_gt BS -> kill(MState)
; true
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pgeq(A,B), MState) :-
( A == B -> kill(MState)
; nonvar(A) ->
( nonvar(B) -> kill(MState), A >= B
; fd_get(B, BD, BPs),
domain_remove_greater_than(BD, A, BD1),
kill(MState),
fd_put(B, BD1, BPs)
)
; nonvar(B) ->
fd_get(A, AD, APs),
domain_remove_smaller_than(AD, B, AD1),
kill(MState),
fd_put(A, AD1, APs)
; fd_get(A, AD, AL, AU, APs),
fd_get(B, _, BL, BU, _),
AU cis_geq BL,
( AL cis_geq BU -> kill(MState)
; AU == BL -> kill(MState), A = B
; NAL cis max(AL,BL),
domains_intersection(AD, from_to(NAL,AU), NAD),
fd_put(A, NAD, APs),
( fd_get(B, BD2, BL2, BU2, BPs2) ->
NBU cis min(BU2, AU),
domains_intersection(BD2, from_to(BL2,NBU), NBD),
fd_put(B, NBD, BPs2)
; true
)
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(rel_tuple(R, Tuple), MState) :-
get_attr(R, clpfd_relation, Relation),
( ground(Tuple) -> kill(MState), memberchk(Tuple, Relation)
; relation_unifiable(Relation, Tuple, Us, false, Changed),
Us = [_|_],
( Tuple = [First,Second], ( ground(First) ; ground(Second) ) ->
kill(MState)
; true
),
( Us = [Single] -> kill(MState), Single = Tuple
; Changed ->
put_attr(R, clpfd_relation, Us),
disable_queue,
tuple_domain(Tuple, Us),
enable_queue
; true
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pserialized(S_I, D_I, S_J, D_J, _), MState) :-
( nonvar(S_I), nonvar(S_J) ->
kill(MState),
( S_I + D_I =< S_J -> true
; S_J + D_J =< S_I -> true
; false
)
; serialize_lower_upper(S_I, D_I, S_J, D_J, MState),
serialize_lower_upper(S_J, D_J, S_I, D_I, MState)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% abs(X-Y) #\= C
run_propagator(absdiff_neq(X,Y,C), MState) :-
( C < 0 -> kill(MState)
; nonvar(X) ->
kill(MState),
( nonvar(Y) -> abs(X - Y) =\= C
; V1 is X - C, neq_num(Y, V1),
V2 is C + X, neq_num(Y, V2)
)
; nonvar(Y) -> kill(MState),
V1 is C + Y, neq_num(X, V1),
V2 is Y - C, neq_num(X, V2)
; true
).
% abs(X-Y) #>= C
run_propagator(absdiff_geq(X,Y,C), MState) :-
( C =< 0 -> kill(MState)
; nonvar(X) ->
kill(MState),
( nonvar(Y) -> abs(X-Y) >= C
; P1 is X - C, P2 is X + C,
Y in inf..P1 \/ P2..sup
)
; nonvar(Y) ->
kill(MState),
P1 is Y - C, P2 is Y + C,
X in inf..P1 \/ P2..sup
; true
).
% X #\= Y + Z
run_propagator(x_neq_y_plus_z(X,Y,Z), MState) :-
( nonvar(X) ->
( nonvar(Y) ->
( nonvar(Z) -> kill(MState), X =\= Y + Z
; kill(MState), XY is X - Y, neq_num(Z, XY)
)
; nonvar(Z) -> kill(MState), XZ is X - Z, neq_num(Y, XZ)
; true
)
; nonvar(Y) ->
( nonvar(Z) ->
kill(MState), YZ is Y + Z, neq_num(X, YZ)
; Y =:= 0 -> kill(MState), neq(X, Z)
; true
)
; Z == 0 -> kill(MState), neq(X, Y)
; true
).
% X #=< Y + C
run_propagator(x_leq_y_plus_c(X,Y,C), MState) :-
( nonvar(X) ->
( nonvar(Y) -> kill(MState), X =< Y + C
; kill(MState),
R is X - C,
fd_get(Y, YD, YPs),
domain_remove_smaller_than(YD, R, YD1),
fd_put(Y, YD1, YPs)
)
; nonvar(Y) ->
kill(MState),
R is Y + C,
fd_get(X, XD, XPs),
domain_remove_greater_than(XD, R, XD1),
fd_put(X, XD1, XPs)
; fd_get(Y, YD, _),
( domain_supremum(YD, n(YSup)) ->
YS1 is YSup + C,
fd_get(X, XD, XPs),
domain_remove_greater_than(XD, YS1, XD1),
fd_put(X, XD1, XPs)
; true
),
( fd_get(X, XD2, _), domain_infimum(XD2, n(XInf)) ->
XI1 is XInf - C,
( fd_get(Y, YD1, YPs1) ->
domain_remove_smaller_than(YD1, XI1, YD2),
( domain_infimum(YD2, n(YInf)),
domain_supremum(XD2, n(XSup)),
XSup =< YInf + C ->
kill(MState)
; true
),
fd_put(Y, YD2, YPs1)
; true
)
; true
)
).
run_propagator(scalar_product_neq(Cs0,Vs0,P0), MState) :-
coeffs_variables_const(Cs0, Vs0, Cs, Vs, 0, I),
P is P0 - I,
( Vs = [] -> kill(MState), P =\= 0
; Vs = [V], Cs = [C] ->
kill(MState),
( C =:= 1 -> neq_num(V, P)
; C*V #\= P
)
; Cs == [1,-1] -> kill(MState), Vs = [A,B], x_neq_y_plus_z(A, B, P)
; Cs == [-1,1] -> kill(MState), Vs = [A,B], x_neq_y_plus_z(B, A, P)
; P =:= 0, Cs = [1,1,-1] ->
kill(MState), Vs = [A,B,C], x_neq_y_plus_z(C, A, B)
; P =:= 0, Cs = [1,-1,1] ->
kill(MState), Vs = [A,B,C], x_neq_y_plus_z(B, A, C)
; P =:= 0, Cs = [-1,1,1] ->
kill(MState), Vs = [A,B,C], x_neq_y_plus_z(A, B, C)
; true
).
run_propagator(scalar_product_leq(Cs0,Vs0,P0), MState) :-
coeffs_variables_const(Cs0, Vs0, Cs, Vs, 0, I),
P is P0 - I,
( Vs = [] -> kill(MState), P >= 0
; sum_finite_domains(Cs, Vs, Infs, Sups, 0, 0, Inf, Sup),
D1 is P - Inf,
disable_queue,
( Infs == [], Sups == [] ->
Inf =< P,
( Sup =< P -> kill(MState)
; remove_dist_upper_leq(Cs, Vs, D1)
)
; Infs == [] -> Inf =< P, remove_dist_upper(Sups, D1)
; Sups = [_], Infs = [_] ->
remove_upper(Infs, D1)
; Infs = [_] -> remove_upper(Infs, D1)
; true
),
enable_queue
).
run_propagator(scalar_product_eq(Cs0,Vs0,P0), MState) :-
coeffs_variables_const(Cs0, Vs0, Cs, Vs, 0, I),
P is P0 - I,
( Vs = [] -> kill(MState), P =:= 0
; Vs = [V], Cs = [C] -> kill(MState), P mod C =:= 0, V is P // C
; Cs == [1,1] -> kill(MState), Vs = [A,B], A + B #= P
; Cs == [1,-1] -> kill(MState), Vs = [A,B], A #= P + B
; Cs == [-1,1] -> kill(MState), Vs = [A,B], B #= P + A
; Cs == [-1,-1] -> kill(MState), Vs = [A,B], P1 is -P, A + B #= P1
; P =:= 0, Cs == [1,1,-1] -> kill(MState), Vs = [A,B,C], A + B #= C
; P =:= 0, Cs == [1,-1,1] -> kill(MState), Vs = [A,B,C], A + C #= B
; P =:= 0, Cs == [-1,1,1] -> kill(MState), Vs = [A,B,C], B + C #= A
; sum_finite_domains(Cs, Vs, Infs, Sups, 0, 0, Inf, Sup),
% nl, writeln(Infs-Sups-Inf-Sup),
D1 is P - Inf,
D2 is Sup - P,
disable_queue,
( Infs == [], Sups == [] ->
between(Inf, Sup, P),
remove_dist_upper_lower(Cs, Vs, D1, D2)
; Sups = [] -> P =< Sup, remove_dist_lower(Infs, D2)
; Infs = [] -> Inf =< P, remove_dist_upper(Sups, D1)
; Sups = [_], Infs = [_] ->
remove_lower(Sups, D2),
remove_upper(Infs, D1)
; Infs = [_] -> remove_upper(Infs, D1)
; Sups = [_] -> remove_lower(Sups, D2)
; true
),
enable_queue
).
% X + Y = Z
run_propagator(pplus(X,Y,Z), MState) :-
( nonvar(X) ->
( X =:= 0 -> kill(MState), Y = Z
; Y == Z -> kill(MState), X =:= 0
; nonvar(Y) -> kill(MState), Z is X + Y
; nonvar(Z) -> kill(MState), Y is Z - X
; fd_get(Z, ZD, ZPs),
fd_get(Y, YD, _),
domain_shift(YD, X, Shifted_YD),
domains_intersection(ZD, Shifted_YD, ZD1),
fd_put(Z, ZD1, ZPs),
( fd_get(Y, YD1, YPs) ->
O is -X,
domain_shift(ZD1, O, YD2),
domains_intersection(YD1, YD2, YD3),
fd_put(Y, YD3, YPs)
; true
)
)
; nonvar(Y) -> run_propagator(pplus(Y,X,Z), MState)
; nonvar(Z) ->
( X == Y -> kill(MState), even(Z), X is Z // 2
; fd_get(X, XD, _),
fd_get(Y, YD, YPs),
domain_negate(XD, XDN),
domain_shift(XDN, Z, YD1),
domains_intersection(YD, YD1, YD2),
fd_put(Y, YD2, YPs),
( fd_get(X, XD1, XPs) ->
domain_negate(YD2, YD2N),
domain_shift(YD2N, Z, XD2),
domains_intersection(XD1, XD2, XD3),
fd_put(X, XD3, XPs)
; true
)
)
; ( X == Y -> kill(MState), 2*X #= Z
; X == Z -> kill(MState), Y = 0
; Y == Z -> kill(MState), X = 0
; fd_get(X, XD, XL, XU, XPs), fd_get(Y, YD, YL, YU, YPs),
fd_get(Z, ZD, ZL, ZU, _) ->
NXL cis max(XL, ZL-YU),
NXU cis min(XU, ZU-YL),
( NXL == XL, NXU == XU -> true
; domains_intersection(XD, from_to(NXL, NXU), NXD),
fd_put(X, NXD, XPs)
),
( fd_get(Y, YD2, YL2, YU2, YPs2) ->
NYL cis max(YL2, ZL-NXU),
NYU cis min(YU2, ZU-NXL),
( NYL == YL2, NYU == YU2 -> true
; domains_intersection(YD2, from_to(NYL, NYU), NYD),
fd_put(Y, NYD, YPs2)
)
; NYL = n(Y), NYU = n(Y)
),
( fd_get(Z, ZD2, ZL2, ZU2, ZPs2) ->
NZL cis max(ZL2,NXL+NYL),
NZU cis min(ZU2,NXU+NYU),
( NZL == ZL2, NZU == ZU2 -> true
; domains_intersection(ZD2, from_to(NZL,NZU), NZD),
fd_put(Z, NZD, ZPs2)
)
; true
)
; true
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(ptimes(X,Y,Z), MState) :-
( nonvar(X) ->
( nonvar(Y) -> kill(MState), Z is X * Y
; X =:= 0 -> kill(MState), Z = 0
; X =:= 1 -> kill(MState), Z = Y
; nonvar(Z) -> kill(MState), 0 =:= Z mod X, Y is Z // X
; fd_get(Y, YD, _),
fd_get(Z, ZD, ZPs),
domain_expand(YD, X, Scaled_YD),
domains_intersection(ZD, Scaled_YD, ZD1),
fd_put(Z, ZD1, ZPs),
( fd_get(Y, YDom2, YPs2) ->
domain_contract(ZD1, X, Contract),
domains_intersection(YDom2, Contract, NYDom),
fd_put(Y, NYDom, YPs2)
; kill(MState), Z is X * Y
)
)
; nonvar(Y) -> run_propagator(ptimes(Y,X,Z), MState)
; nonvar(Z) ->
( X == Y ->
kill(MState),
integer_kth_root(Z, 2, R),
NR is -R,
X in NR \/ R
; fd_get(X, XD, XL, XU, XPs),
fd_get(Y, YD, YL, YU, _),
min_divide(n(Z), n(Z), YL, YU, TNXL),
max_divide(n(Z), n(Z), YL, YU, TNXU),
NXL cis max(XL,TNXL),
NXU cis min(XU,TNXU),
( NXL == XL, NXU == XU -> true
; domains_intersection(XD, from_to(NXL,NXU), XD1),
fd_put(X, XD1, XPs)
),
( fd_get(Y, YD2, YL2, YU2,YExp2) ->
min_divide(n(Z), n(Z), NXL, NXU, NYL),
max_divide(n(Z), n(Z), NXL, NXU, NYU),
( NYL cis_leq YL2, NYU cis_geq YU2 -> true
; domains_intersection(YD2, from_to(NYL,NYU), YD3),
fd_put(Y, YD3, YExp2)
)
; ( Y \== 0 -> 0 =:= Z mod Y, kill(MState), X is Z // Y
; kill(MState), Z = 0
)
)
),
( Z =\= 0 -> neq_num(X, 0), neq_num(Y, 0)
; true
)
; ( X == Y -> kill(MState), X^2#=Z
; fd_get(X, XD, XL, XU, XExp),
fd_get(Y, YD, YL, YU, _),
fd_get(Z, ZD, ZL, ZU, _),
min_divide(ZL,ZU,YL,YU,TXL),
NXL cis max(XL,TXL),
max_divide(ZL,ZU,YL,YU,TXU),
NXU cis min(XU,TXU),
( NXL == XL, NXU == XU -> true
; domains_intersection(XD, from_to(NXL,NXU), XD1),
fd_put(X, XD1, XExp)
),
( fd_get(Y,YD2,YL2,YU2,YExp2) ->
min_divide(ZL,ZU,XL,XU,TYL),
NYL cis max(YL2,TYL),
max_divide(ZL,ZU,XL,XU,TYU),
NYU cis min(YU2,TYU),
( NYL == YL2, NYU == YU2 -> true
; domains_intersection(YD2, from_to(NYL,NYU), YD3),
fd_put(Y, YD3, YExp2)
)
; NYL = n(Y), NYU = n(Y)
),
( fd_get(Z, ZD2, ZL2, ZU2, ZExp2) ->
min_times(NXL,NXU,NYL,NYU,NZL),
max_times(NXL,NXU,NYL,NYU,NZU),
( NZL cis_leq ZL2, NZU cis_geq ZU2 -> ZD3 = ZD2
; domains_intersection(ZD2, from_to(NZL,NZU), ZD3),
fd_put(Z, ZD3, ZExp2)
),
( domain_contains(ZD3, 0) -> true
; neq_num(X, 0), neq_num(Y, 0)
)
; true
)
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% X / Y = Z
run_propagator(pdiv(X,Y,Z), MState) :-
( nonvar(X) ->
( nonvar(Y) -> kill(MState), Y =\= 0, Z is X // Y
; fd_get(Y, YD, YL, YU, YPs),
( nonvar(Z) ->
( Z =:= 0 ->
NYL is -abs(X) - 1,
NYU is abs(X) + 1,
domains_intersection(YD, split(0, from_to(inf,n(NYL)),
from_to(n(NYU), sup)),
NYD),
fd_put(Y, NYD, YPs)
; ( sign(X) =:= sign(Z) ->
NYL cis max(n(X) // (n(Z)+sign(n(Z))) + n(1), YL),
NYU cis min(n(X) // n(Z), YU)
; NYL cis max(n(X) // n(Z), YL),
NYU cis min(n(X) // (n(Z)+sign(n(Z))) - n(1), YU)
),
( NYL = YL, NYU = YU -> true
; domains_intersection(YD, from_to(NYL,NYU), NYD),
fd_put(Y, NYD, YPs)
)
)
; fd_get(Z, ZD, ZL, ZU, ZPs),
( X >= 0, YL cis_gt n(0) ->
NZL cis max(n(X)//YU, ZL),
NZU cis min(n(X)//YL, ZU)
; % TODO: more stringent bounds, cover Y
NZL cis max(-abs(n(X)), ZL),
NZU cis min(abs(n(X)), ZU)
),
( NZL = ZL, NZU = ZU -> true
; domains_intersection(ZD, from_to(NZL,NZU), NZD),
fd_put(Z, NZD, ZPs)
)
)
)
; nonvar(Y) ->
Y =\= 0,
( Y =:= 1 -> kill(MState), X = Z
; Y =:= -1 -> kill(MState), Z #= -X
; fd_get(X, XD, XL, XU, XPs),
( nonvar(Z) ->
( sign(Z) =:= sign(Y) ->
NXL cis max(n(Z)*n(Y), XL),
NXU cis min((abs(n(Z))+n(1))*abs(n(Y))-n(1), XU)
; Z =:= 0 ->
NXL cis max(-abs(n(Y)) + n(1), XL),
NXU cis min(abs(n(Y)) - n(1), XU)
; NXL cis max((n(Z)+sign(n(Z))*n(1))*n(Y)+n(1), XL),
NXU cis min(n(Z)*n(Y), XU)
),
( NXL == XL, NXU == XU -> true
; domains_intersection(XD, from_to(NXL,NXU), NXD),
fd_put(X, NXD, XPs)
)
; fd_get(Z, ZD, ZPs),
domain_contract_less(XD, Y, Contracted),
domains_intersection(ZD, Contracted, NZD),
fd_put(Z, NZD, ZPs),
( \+ domain_contains(NZD, 0), fd_get(X, XD2, XPs2) ->
domain_expand_more(NZD, Y, Expanded),
domains_intersection(XD2, Expanded, NXD2),
fd_put(X, NXD2, XPs2)
; true
)
)
)
; nonvar(Z) ->
fd_get(X, XD, XL, XU, XPs),
fd_get(Y, YD, YL, YU, YPs),
( YL cis_geq n(0), XL cis_geq n(0) ->
NXL cis max(YL*n(Z), XL),
NXU cis min(YU*(n(Z)+n(1))-n(1), XU)
; %TODO: cover more cases
NXL = XL, NXU = XU
),
( NXL == XL, NXU == XU -> true
; domains_intersection(XD, from_to(NXL,NXU), NXD),
fd_put(X, NXD, XPs)
)
; ( X == Y -> Z = 1
; fd_get(X, _, XL, XU, _),
fd_get(Y, _, YL, YU, _),
fd_get(Z, ZD, ZPs),
NZU cis max(abs(XL), XU),
NZL cis -NZU,
domains_intersection(ZD, from_to(NZL,NZU), NZD0),
( cis_geq_zero(XL), cis_geq_zero(YL) ->
domain_remove_smaller_than(NZD0, 0, NZD1)
; % TODO: cover more cases
NZD1 = NZD0
),
fd_put(Z, NZD1, ZPs)
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Y = abs(X)
run_propagator(pabs(X,Y), MState) :-
( nonvar(X) -> kill(MState), Y is abs(X)
; nonvar(Y) ->
kill(MState),
Y >= 0,
YN is -Y,
X in YN \/ Y
; fd_get(X, XD, XPs),
fd_get(Y, YD, _),
domain_negate(YD, YDNegative),
domains_union(YD, YDNegative, XD1),
domains_intersection(XD, XD1, XD2),
fd_put(X, XD2, XPs),
( fd_get(Y, YD1, YPs1) ->
domain_negate(XD2, XD2Neg),
domains_union(XD2, XD2Neg, YD2),
domain_remove_smaller_than(YD2, 0, YD3),
domains_intersection(YD1, YD3, YD4),
fd_put(Y, YD4, YPs1)
; true
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% K = X mod M
run_propagator(pmod(X,M,K), MState) :-
( nonvar(X) ->
( nonvar(M) -> kill(MState), M =\= 0, K is X mod M
; true
)
; nonvar(M) ->
M =\= 0,
( abs(M) =:= 1 -> kill(MState), K = 0
; fd_get(K, KD, KPs) ->
MP is abs(M) - 1,
fd_get(K, KD, KPs),
( M > 0 -> KDN = from_to(n(0), n(MP))
; MN is -MP, KDN = from_to(n(MN), n(0))
),
domains_intersection(KD, KDN, KD1),
fd_put(K, KD1, KPs),
( fd_get(X, XD, _), domain_infimum(XD, n(Min)) ->
K1 is Min mod M,
( domain_contains(KD1, K1) -> true
; neq_num(X, Min)
)
; true
),
( fd_get(X, XD1, _), domain_supremum(XD1, n(Max)) ->
K2 is Max mod M,
( domain_contains(KD1, K2) -> true
; neq_num(X, Max)
)
; true
)
; fd_get(X, XD, _),
% if possible, propagate at the boundaries
( nonvar(K), domain_infimum(XD, n(Min)) ->
( Min mod M =:= K -> true
; neq_num(X, Min)
)
; true
),
( nonvar(K), domain_supremum(XD, n(Max)) ->
( Max mod M =:= K -> true
; neq_num(X, Max)
)
; true
)
)
; true % TODO: propagate more
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Z = max(X,Y)
run_propagator(pmax(X,Y,Z), MState) :-
( nonvar(X) ->
( nonvar(Y) -> kill(MState), Z is max(X,Y)
; nonvar(Z) ->
( Z =:= X -> kill(MState), X #>= Y
; Z > X -> Z = Y
; fail % Z < X
)
; fd_get(Y, YD, YInf, YSup, _),
( YInf cis_gt n(X) -> Z = Y
; YSup cis_lt n(X) -> Z = X
; YSup = n(M) ->
fd_get(Z, ZD, ZPs),
domain_remove_greater_than(ZD, M, ZD1),
fd_put(Z, ZD1, ZPs)
; true
)
)
; nonvar(Y) -> run_propagator(pmax(Y,X,Z), MState)
; fd_get(Z, ZD, ZPs) ->
fd_get(X, _, XInf, XSup, _),
fd_get(Y, YD, YInf, YSup, _),
( YInf cis_gt YSup -> kill(MState), Z = Y
; YSup cis_lt XInf -> kill(MState), Z = X
; n(M) cis max(XSup, YSup) ->
domain_remove_greater_than(ZD, M, ZD1),
fd_put(Z, ZD1, ZPs)
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Z = min(X,Y)
run_propagator(pmin(X,Y,Z), MState) :-
( nonvar(X) ->
( nonvar(Y) -> kill(MState), Z is min(X,Y)
; nonvar(Z) ->
( Z =:= X -> kill(MState), X #=< Y
; Z < X -> Z = Y
; fail % Z > X
)
; fd_get(Y, YD, YInf, YSup, _),
( YSup cis_lt n(X) -> Z = Y
; YInf cis_gt n(X) -> Z = X
; YInf = n(M) ->
fd_get(Z, ZD, ZPs),
domain_remove_smaller_than(ZD, M, ZD1),
fd_put(Z, ZD1, ZPs)
; true
)
)
; nonvar(Y) -> run_propagator(pmin(Y,X,Z), MState)
; fd_get(Z, ZD, ZPs) ->
fd_get(X, _, XInf, XSup, _),
fd_get(Y, YD, YInf, YSup, _),
( YSup cis_lt YInf -> kill(MState), Z = Y
; YInf cis_gt XSup -> kill(MState), Z = X
; n(M) cis min(XInf, YInf) ->
domain_remove_smaller_than(ZD, M, ZD1),
fd_put(Z, ZD1, ZPs)
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Z = X ^ Y
run_propagator(pexp(X,Y,Z), MState) :-
( X == 1 -> kill(MState), Z = 1
; X == 0 -> kill(MState), Z #<==> Y #= 0
; Y == 0 -> kill(MState), Z = 1
; Y == 1 -> kill(MState), Z = X
; nonvar(X), nonvar(Y) ->
( Y >= 0 -> true ; X =:= -1 ),
kill(MState),
Z is X^Y
; nonvar(Z), nonvar(Y) ->
integer_kth_root(Z, Y, R),
kill(MState),
( even(Y) ->
N is -R,
X in N \/ R
; X = R
)
; nonvar(Y), Y > 0 ->
( even(Y) ->
geq(Z, 0)
; true
),
( fd_get(X, XD, XL, XU, _), fd_get(Z, ZD, ZL, ZU, ZPs) ->
( domain_contains(ZD, 0) -> XD1 = XD
; domain_remove(XD, 0, XD1)
),
( domain_contains(XD, 0) -> ZD1 = ZD
; domain_remove(ZD, 0, ZD1)
),
( even(Y) ->
( cis_geq_zero(XL) ->
NZL cis XL^Y
; NZL = n(0)
),
NZU cis max(abs(XL),abs(XU))^Y,
domains_intersection(ZD1, from_to(NZL,NZU), ZD2)
; ( finite(XL) ->
NZL cis XL^Y,
NZU cis XU^Y,
domains_intersection(ZD1, from_to(NZL,NZU), ZD2)
; ZD2 = ZD1
)
),
fd_put(Z, ZD2, ZPs),
( even(Y), ZU = n(Num) ->
integer_kth_root_leq(Num, Y, RU),
( cis_geq_zero(XL), ZL = n(Num1) ->
integer_kth_root_leq(Num1, Y, RL)
; RL is -RU
),
NXD = from_to(n(RL),n(RU))
; odd(Y), cis_geq_zero(ZL), ZU = n(Num) ->
integer_kth_root_leq(Num, Y, RU),
ZL = n(Num1),
integer_kth_root_leq(Num1, Y, RL),
NXD = from_to(n(RL),n(RU))
; NXD = XD1 % TODO: propagate more
),
( fd_get(X, XD2, XPs) ->
domains_intersection(XD2, XD1, XD3),
domains_intersection(XD3, NXD, XD4),
fd_put(X, XD4, XPs)
; true
)
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pzcompare(Order, A, B), MState) :-
( A == B -> kill(MState), Order = (=)
; ( nonvar(A) ->
( nonvar(B) ->
kill(MState),
( A > B -> Order = (>)
; Order = (<)
)
; fd_get(B, _, BL, BU, _),
( BL cis_gt n(A) -> kill(MState), Order = (<)
; BU cis_lt n(A) -> kill(MState), Order = (>)
; true
)
)
; nonvar(B) ->
fd_get(A, _, AL, AU, _),
( AL cis_gt n(B) -> kill(MState), Order = (>)
; AU cis_lt n(B) -> kill(MState), Order = (<)
; true
)
; fd_get(A, _, AL, AU, _),
fd_get(B, _, BL, BU, _),
( AL cis_gt BU -> kill(MState), Order = (>)
; AU cis_lt BL -> kill(MState), Order = (<)
; true
)
)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% reified constraints
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_in(V,Dom,B), MState) :-
( integer(V) ->
kill(MState),
( domain_contains(Dom, V) -> B = 1
; B = 0
)
; B == 1 -> kill(MState), domain(V, Dom)
; B == 0 -> kill(MState), domain_complement(Dom, C), domain(V, C)
; fd_get(V, VD, _),
( domains_intersection(VD, Dom, I) ->
( I == VD -> kill(MState), B = 1
; true
)
; kill(MState), B = 0
)
).
run_propagator(reified_tuple_in(Tuple, R, B), MState) :-
get_attr(R, clpfd_relation, Relation),
( B == 1 -> kill(MState), tuples_in([Tuple], Relation)
; ( ground(Tuple) ->
kill(MState),
( memberchk(Tuple, Relation) -> B = 1
; B = 0
)
; relation_unifiable(Relation, Tuple, Us, _, _),
( Us = [] -> kill(MState), B = 0
; true
)
)
).
run_propagator(reified_fd(V,B), MState) :-
( fd_inf(V, I), I \== inf, fd_sup(V, S), S \== sup ->
kill(MState),
B = 1
; B == 0 ->
( fd_inf(V, inf) -> true
; fd_sup(V, sup) -> true
; fail
)
; true
).
% The result of X/Y and X mod Y is undefined iff Y is 0.
run_propagator(reified_div(X,Y,D,Skel,Z), MState) :-
( Y == 0 -> kill(MState), D = 0
; D == 1 -> kill(MState), neq_num(Y, 0), skeleton([X,Y,Z], Skel)
; integer(Y), Y =\= 0 -> kill(MState), D = 1, skeleton([X,Y,Z], Skel)
; fd_get(Y, YD, _), \+ domain_contains(YD, 0) ->
kill(MState),
D = 1, skeleton([X,Y,Z], Skel)
; true
).
run_propagator(reified_mod(X,Y,D,Skel,Z), MState) :-
( Y == 0 -> kill(MState), D = 0
; D == 1 -> kill(MState), neq_num(Y, 0), skeleton([X,Y,Z], Skel)
; integer(Y), Y =\= 0 -> kill(MState), D = 1, skeleton([X,Y,Z], Skel)
; fd_get(Y, YD, _), \+ domain_contains(YD, 0) ->
kill(MState),
D = 1, skeleton([X,Y,Z], Skel)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_geq(DX,X,DY,Y,Ps,B), MState) :-
( DX == 0 -> kill(MState, Ps), B = 0
; DY == 0 -> kill(MState, Ps), B = 0
; B == 1 -> kill(MState), DX = 1, DY = 1, geq(X, Y)
; DX == 1, DY == 1 ->
( var(B) ->
( nonvar(X) ->
( nonvar(Y) ->
kill(MState),
( X >= Y -> B = 1 ; B = 0 )
; fd_get(Y, _, YL, YU, _),
( n(X) cis_geq YU -> kill(MState, Ps), B = 1
; n(X) cis_lt YL -> kill(MState, Ps), B = 0
; true
)
)
; nonvar(Y) ->
fd_get(X, _, XL, XU, _),
( XL cis_geq n(Y) -> kill(MState, Ps), B = 1
; XU cis_lt n(Y) -> kill(MState, Ps), B = 0
; true
)
; X == Y -> kill(MState, Ps), B = 1
; fd_get(X, _, XL, XU, _),
fd_get(Y, _, YL, YU, _),
( XL cis_geq YU -> kill(MState, Ps), B = 1
; XU cis_lt YL -> kill(MState, Ps), B = 0
; true
)
)
; B =:= 0 -> kill(MState), X #< Y
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_eq(DX,X,DY,Y,Ps,B), MState) :-
( DX == 0 -> kill(MState, Ps), B = 0
; DY == 0 -> kill(MState, Ps), B = 0
; B == 1 -> kill(MState), DX = 1, DY = 1, X = Y
; DX == 1, DY == 1 ->
( var(B) ->
( nonvar(X) ->
( nonvar(Y) ->
kill(MState),
( X =:= Y -> B = 1 ; B = 0)
; fd_get(Y, YD, _),
( domain_contains(YD, X) -> true
; kill(MState, Ps), B = 0
)
)
; nonvar(Y) -> run_propagator(reified_eq(DY,Y,DX,X,Ps,B), MState)
; X == Y -> kill(MState), B = 1
; fd_get(X, _, XL, XU, _),
fd_get(Y, _, YL, YU, _),
( XL cis_gt YU -> kill(MState, Ps), B = 0
; YL cis_gt XU -> kill(MState, Ps), B = 0
; true
)
)
; B =:= 0 -> kill(MState), X #\= Y
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_neq(DX,X,DY,Y,Ps,B), MState) :-
( DX == 0 -> kill(MState, Ps), B = 0
; DY == 0 -> kill(MState, Ps), B = 0
; B == 1 -> kill(MState), DX = 1, DY = 1, X #\= Y
; DX == 1, DY == 1 ->
( var(B) ->
( nonvar(X) ->
( nonvar(Y) ->
kill(MState),
( X =\= Y -> B = 1 ; B = 0)
; fd_get(Y, YD, _),
( domain_contains(YD, X) -> true
; kill(MState, Ps),
B = 1
)
)
; nonvar(Y) -> run_propagator(reified_neq(DY,Y,DX,X,Ps,B), MState)
; X == Y -> B = 0
; fd_get(X, _, XL, XU, _),
fd_get(Y, _, YL, YU, _),
( XL cis_gt YU -> kill(MState, Ps), B = 1
; YL cis_gt XU -> kill(MState, Ps), B = 1
; true
)
)
; B =:= 0 -> kill(MState), X = Y
; true
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_and(X,Ps1,Y,Ps2,B), MState) :-
( nonvar(X) ->
kill(MState),
( X =:= 0 -> maplist(kill_entailed, Ps2), B = 0
; B = Y
)
; nonvar(Y) -> run_propagator(reified_and(Y,Ps2,X,Ps1,B), MState)
; B == 1 -> kill(MState), X = 1, Y = 1
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_or(X,Ps1,Y,Ps2,B), MState) :-
( nonvar(X) ->
kill(MState),
( X =:= 1 -> maplist(kill_entailed, Ps2), B = 1
; B = Y
)
; nonvar(Y) -> run_propagator(reified_or(Y,Ps2,X,Ps1,B), MState)
; B == 0 -> kill(MState), X = 0, Y = 0
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(reified_not(X,Y), MState) :-
( X == 0 -> kill(MState), Y = 1
; X == 1 -> kill(MState), Y = 0
; Y == 0 -> kill(MState), X = 1
; Y == 1 -> kill(MState), X = 0
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_propagator(pimpl(X, Y, Ps), MState) :-
( nonvar(X) ->
kill(MState),
( X =:= 1 -> Y = 1
; maplist(kill_entailed, Ps)
)
; nonvar(Y) ->
kill(MState),
( Y =:= 0 -> X = 0
; maplist(kill_entailed, Ps)
)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
min_times(L1,U1,L2,U2,Min) :-
Min cis min(min(L1*L2,L1*U2),min(U1*L2,U1*U2)).
max_times(L1,U1,L2,U2,Max) :-
Max cis max(max(L1*L2,L1*U2),max(U1*L2,U1*U2)).
min_divide_less(L1,U1,L2,U2,Min) :-
( L2 cis_leq n(0), cis_geq_zero(U2) -> Min = inf
; Min cis min(min(div(L1,L2),div(L1,U2)),min(div(U1,L2),div(U1,U2)))
).
max_divide_less(L1,U1,L2,U2,Max) :-
( L2 cis_leq n(0), cis_geq_zero(U2) -> Max = sup
; Max cis max(max(div(L1,L2),div(L1,U2)),max(div(U1,L2),div(U1,U2)))
).
finite(n(_)).
min_divide(L1,U1,L2,U2,Min) :-
( L2 = n(NL2), NL2 > 0, finite(U2), cis_geq_zero(L1) ->
Min cis div(L1+U2-n(1),U2)
% TODO: cover more cases
; L1 = n(NL1), NL1 > 0, U2 cis_leq n(-1) -> Min cis div(U1,U2)
; L1 = n(NL1), NL1 > 0 -> Min cis -U1
; U1 = n(NU1), NU1 < 0, U2 cis_leq n(0) ->
( finite(L2) -> Min cis div(U1+L2+n(1),L2)
; Min = n(1)
)
; U1 = n(NU1), NU1 < 0, cis_geq_zero(L2) -> Min cis div(L1,L2)
; U1 = n(NU1), NU1 < 0 -> Min = L1
; L2 cis_leq n(0), cis_geq_zero(U2) -> Min = inf
; Min cis min(min(div(L1,L2),div(L1,U2)),min(div(U1,L2),div(U1,U2)))
).
max_divide(L1,U1,L2,U2,Max) :-
( L2 = n(_), cis_geq_zero(L1), cis_geq_zero(L2) ->
Max cis div(U1,L2)
% TODO: cover more cases
; L1 = n(NL1), NL1 > 0, U2 cis_leq n(0) ->
( finite(L2) -> Max cis div(L1-L2-n(1),L2)
; Max = n(-1)
)
; L1 = n(NL1), NL1 > 0 -> Max = U1
; U1 = n(NU1), NU1 < 0, U2 cis_leq n(-1) -> Max cis div(L1,U2)
; U1 = n(NU1), NU1 < 0, cis_geq_zero(L2) ->
( finite(U2) -> Max cis div(U1-U2+n(1),U2)
; Max = n(-1)
)
; U1 = n(NU1), NU1 < 0 -> Max cis -L1
; L2 cis_leq n(0), cis_geq_zero(U2) -> Max = sup
; Max cis max(max(div(L1,L2),div(L1,U2)),max(div(U1,L2),div(U1,U2)))
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
J-C. Régin: "A filtering algorithm for constraints of difference in
CSPs", AAAI-94, Seattle, WA, USA, pp 362--367, 1994
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
distinct_attach([], _, _).
distinct_attach([X|Xs], Prop, Right) :-
( var(X) ->
init_propagator(X, Prop),
make_propagator(pexclude(Xs,Right,X), P1),
init_propagator(X, P1),
trigger_prop(P1)
; exclude_fire(Xs, Right, X)
),
distinct_attach(Xs, Prop, [X|Right]).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
For each integer of the union of domains, an attributed variable is
introduced, to benefit from constant-time access. Attributes are:
value ... integer corresponding to the node
free ... whether this (right) node is still free
edges ... [flow_from(F,From)] and [flow_to(F,To)] where F has an
attribute "flow" that is either 0 or 1 and an attribute "used"
if it is part of a maximum matching
parent ... used in breadth-first search
g0_edges ... [flow_to(F,To)] as above
visited ... true if node was visited in DFS
index, in_stack, lowlink ... used in Tarjan's SCC algorithm
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
difference_arcs(Vars, FreeLeft, FreeRight) :-
empty_assoc(E),
phrase(difference_arcs(Vars, FreeLeft), [E], [NumVar]),
assoc_to_list(NumVar, LsNumVar),
pairs_values(LsNumVar, FreeRight).
domain_to_list(Domain, List) :- phrase(domain_to_list(Domain), List).
domain_to_list(split(_, Left, Right)) -->
domain_to_list(Left), domain_to_list(Right).
domain_to_list(empty) --> [].
domain_to_list(from_to(n(F),n(T))) --> { numlist(F, T, Ns) }, list(Ns).
difference_arcs([], []) --> [].
difference_arcs([V|Vs], FL0) -->
( { fd_get(V, Dom, _), domain_to_list(Dom, Ns) } ->
{ FL0 = [V|FL] },
enumerate(Ns, V),
difference_arcs(Vs, FL)
; difference_arcs(Vs, FL0)
).
enumerate([], _) --> [].
enumerate([N|Ns], V) -->
state(NumVar0, NumVar),
{ ( get_assoc(N, NumVar0, Y) -> NumVar0 = NumVar
; put_assoc(N, NumVar0, Y, NumVar),
put_attr(Y, value, N)
),
put_attr(F, flow, 0),
append_edge(Y, edges, flow_from(F,V)),
append_edge(V, edges, flow_to(F,Y)) },
enumerate(Ns, V).
append_edge(V, Attr, E) :-
( get_attr(V, Attr, Es) ->
put_attr(V, Attr, [E|Es])
; put_attr(V, Attr, [E])
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Strategy: Breadth-first search until we find a free right vertex in
the value graph, then find an augmenting path in reverse.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
clear_parent(V) :- del_attr(V, parent).
maximum_matching([]).
maximum_matching([FL|FLs]) :-
augmenting_path_to(1, [[FL]], Levels, To),
phrase(augmenting_path(To, FL), Path),
maplist(maplist(clear_parent), Levels),
del_attr(To, free),
adjust_alternate_1(Path),
maximum_matching(FLs).
reachables([]) --> [].
reachables([V|Vs]) -->
{ get_attr(V, edges, Es) },
reachables_(Es, V),
reachables(Vs).
reachables_([], _) --> [].
reachables_([E|Es], V) -->
edge_reachable(E, V),
reachables_(Es, V).
edge_reachable(flow_to(F,To), V) -->
( { get_attr(F, flow, 0),
\+ get_attr(To, parent, _) } ->
{ put_attr(To, parent, V-F) },
[To]
; []
).
edge_reachable(flow_from(F,From), V) -->
( { get_attr(F, flow, 1),
\+ get_attr(From, parent, _) } ->
{ put_attr(From, parent, V-F) },
[From]
; []
).
augmenting_path_to(Level, Levels0, Levels, Right) :-
Levels0 = [Vs|_],
Levels1 = [Tos|Levels0],
phrase(reachables(Vs), Tos),
Tos = [_|_],
( odd(Level), member(Free, Tos), get_attr(Free, free, true) ->
Right = Free, Levels = Levels1
; Level1 is Level + 1,
augmenting_path_to(Level1, Levels1, Levels, Right)
).
augmenting_path(N, To) -->
( { N == To } -> []
; { get_attr(N, parent, P-F) },
[F],
augmenting_path(P, To)
).
adjust_alternate_1([A|Arcs]) :-
put_attr(A, flow, 1),
adjust_alternate_0(Arcs).
adjust_alternate_0([]).
adjust_alternate_0([A|Arcs]) :-
put_attr(A, flow, 0),
adjust_alternate_1(Arcs).
remove_ground([], _).
remove_ground([V|Vs], R) :-
neq_num(V, R),
remove_ground(Vs, R).
% Instead of applying Berge's property directly, we can translate the
% problem in such a way, that we have to search for the so-called
% strongly connected components of the graph.
g_g0(V) :-
get_attr(V, edges, Es),
maplist(g_g0_(V), Es).
g_g0_(V, flow_to(F,To)) :-
( get_attr(F, flow, 1) ->
append_edge(V, g0_edges, flow_to(F,To))
; append_edge(To, g0_edges, flow_to(F,V))
).
g0_successors(V, Tos) :-
( get_attr(V, g0_edges, Tos0) ->
maplist(arg(2), Tos0, Tos)
; Tos = []
).
put_free(F) :- put_attr(F, free, true).
free_node(F) :-
get_attr(F, free, true),
del_attr(F, free).
distinct(Vars) :-
difference_arcs(Vars, FreeLeft, FreeRight0),
length(FreeLeft, LFL),
length(FreeRight0, LFR),
LFL =< LFR,
maplist(put_free, FreeRight0),
maximum_matching(FreeLeft),
include(free_node, FreeRight0, FreeRight),
maplist(g_g0, FreeLeft),
phrase(scc(FreeLeft), [s(0,[],g0_successors)], _),
maplist(dfs_used, FreeRight),
phrase(distinct_goals(FreeLeft), Gs),
maplist(distinct_clear_attributes, FreeLeft),
disable_queue,
maplist(call, Gs),
enable_queue.
distinct_clear_attributes(V) :-
( get_attr(V, edges, Es) ->
% parent and in_stack are already cleared
maplist(del_attr(V), [edges,index,lowlink,value,visited]),
maplist(clear_edge, Es),
( get_attr(V, g0_edges, Es1) ->
del_attr(V, g0_edges),
maplist(clear_edge, Es1)
; true
)
; true
).
clear_edge(flow_to(F, To)) :-
del_attr(F, flow),
del_attr(F, used),
distinct_clear_attributes(To).
clear_edge(flow_from(X, Y)) :- clear_edge(flow_to(X, Y)).
distinct_goals([]) --> [].
distinct_goals([V|Vs]) -->
{ get_attr(V, edges, Es) },
distinct_edges(Es, V),
distinct_goals(Vs).
distinct_edges([], _) --> [].
distinct_edges([flow_to(F,To)|Es], V) -->
( { get_attr(F, flow, 0),
\+ get_attr(F, used, true),
get_attr(V, lowlink, L1),
get_attr(To, lowlink, L2),
L1 =\= L2 } ->
{ get_attr(To, value, N) },
[neq_num(V, N)]
; []
),
distinct_edges(Es, V).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Mark used edges.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
dfs_used(V) :-
( get_attr(V, visited, true) -> true
; put_attr(V, visited, true),
( get_attr(V, g0_edges, Es) ->
dfs_used_edges(Es)
; true
)
).
dfs_used_edges([]).
dfs_used_edges([flow_to(F,To)|Es]) :-
put_attr(F, used, true),
dfs_used(To),
dfs_used_edges(Es).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Tarjan's strongly connected components algorithm.
DCGs are used to implicitly pass around the global index, stack
and the predicate relating a vertex to its successors.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
scc([]) --> [].
scc([V|Vs]) -->
( vindex_defined(V) -> scc(Vs)
; scc_(V), scc(Vs)
).
vindex_defined(V) --> { get_attr(V, index, _) }.
vindex_is_index(V) -->
state(s(Index,_,_)),
{ put_attr(V, index, Index) }.
vlowlink_is_index(V) -->
state(s(Index,_,_)),
{ put_attr(V, lowlink, Index) }.
index_plus_one -->
state(s(I,Stack,Succ), s(I1,Stack,Succ)),
{ I1 is I+1 }.
s_push(V) -->
state(s(I,Stack,Succ), s(I,[V|Stack],Succ)),
{ put_attr(V, in_stack, true) }.
vlowlink_min_lowlink(V, VP) -->
{ get_attr(V, lowlink, VL),
get_attr(VP, lowlink, VPL),
VL1 is min(VL, VPL),
put_attr(V, lowlink, VL1) }.
successors(V, Tos) --> state(s(_,_,Succ)), { call(Succ, V, Tos) }.
scc_(V) -->
vindex_is_index(V),
vlowlink_is_index(V),
index_plus_one,
s_push(V),
successors(V, Tos),
each_edge(Tos, V),
( { get_attr(V, index, VI),
get_attr(V, lowlink, VI) } -> pop_stack_to(V, VI)
; []
).
pop_stack_to(V, N) -->
state(s(I,[First|Stack],Succ), s(I,Stack,Succ)),
{ del_attr(First, in_stack) },
( { First == V } -> []
; { put_attr(First, lowlink, N) },
pop_stack_to(V, N)
).
each_edge([], _) --> [].
each_edge([VP|VPs], V) -->
( vindex_defined(VP) ->
( v_in_stack(VP) ->
vlowlink_min_lowlink(V, VP)
; []
)
; scc_(VP),
vlowlink_min_lowlink(V, VP)
),
each_edge(VPs, V).
state(S), [S] --> [S].
state(S0, S), [S] --> [S0].
v_in_stack(V) --> { get_attr(V, in_stack, true) }.
%% all_distinct(+Ls).
%
% Like all_different/1, with stronger propagation. For example,
% all_distinct/1 can detect that not all variables can assume distinct
% values given the following domains:
%
% ==
% ?- maplist(in, Vs, [1\/3..4, 1..2\/4, 1..2\/4, 1..3, 1..3, 1..6]), all_distinct(Vs).
% false.
% ==
all_distinct(Ls) :-
must_be(list, Ls),
maplist(fd_variable, Ls),
make_propagator(pdistinct(Ls), Prop),
distinct_attach(Ls, Prop, []),
trigger_prop(Prop),
do_queue.
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Weak arc consistent constraint of difference, currently only
available internally. Candidate for all_different/2 option.
See Neng-Fa Zhou: "Programming Finite-Domain Constraint Propagators
in Action Rules", Theory and Practice of Logic Programming, Vol.6,
No.5, pp 483-508, 2006
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
weak_arc_all_distinct(Ls) :-
must_be(list, Ls),
put_attr(O, clpfd_original, weak_arc_all_distinct(Ls)),
all_distinct(Ls, [], O),
do_queue.
all_distinct([], _, _).
all_distinct([X|Right], Left, Orig) :-
%\+ list_contains(Right, X),
( var(X) ->
make_propagator(weak_distinct(Left,Right,X,Orig), Prop),
init_propagator(X, Prop),
trigger_prop(Prop)
% make_propagator(check_distinct(Left,Right,X), Prop2),
% init_propagator(X, Prop2),
% trigger_prop(Prop2)
; exclude_fire(Left, Right, X)
),
outof_reducer(Left, Right, X),
all_distinct(Right, [X|Left], Orig).
exclude_fire(Left, Right, E) :-
remove_ground(Left, E),
remove_ground(Right, E).
list_contains([X|Xs], Y) :-
( X == Y -> true
; list_contains(Xs, Y)
).
kill_if_isolated(Left, Right, X, MState) :-
append(Left, Right, Others),
fd_get(X, XDom, _),
( all_empty_intersection(Others, XDom) -> kill(MState)
; true
).
all_empty_intersection([], _).
all_empty_intersection([V|Vs], XDom) :-
( fd_get(V, VDom, _) ->
domains_intersection_(VDom, XDom, empty),
all_empty_intersection(Vs, XDom)
; all_empty_intersection(Vs, XDom)
).
outof_reducer(Left, Right, Var) :-
( fd_get(Var, Dom, _) ->
append(Left, Right, Others),
domain_num_elements(Dom, N),
num_subsets(Others, Dom, 0, Num, NonSubs),
( n(Num) cis_geq N -> fail
; n(Num) cis N - n(1) ->
reduce_from_others(NonSubs, Dom)
; true
)
; %\+ list_contains(Right, Var),
%\+ list_contains(Left, Var)
true
).
reduce_from_others([], _).
reduce_from_others([X|Xs], Dom) :-
( fd_get(X, XDom, XPs) ->
domain_subtract(XDom, Dom, NXDom),
fd_put(X, NXDom, XPs)
; true
),
reduce_from_others(Xs, Dom).
num_subsets([], _Dom, Num, Num, []).
num_subsets([S|Ss], Dom, Num0, Num, NonSubs) :-
( fd_get(S, SDom, _) ->
( domain_subdomain(Dom, SDom) ->
Num1 is Num0 + 1,
num_subsets(Ss, Dom, Num1, Num, NonSubs)
; NonSubs = [S|Rest],
num_subsets(Ss, Dom, Num0, Num, Rest)
)
; num_subsets(Ss, Dom, Num0, Num, NonSubs)
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% serialized(+Starts, +Durations)
%
% Constrain a set of intervals to a non-overlapping sequence.
% Starts = [S_1,...,S_n], is a list of variables or integers,
% Durations = [D_1,...,D_n] is a list of non-negative integers.
% Constrains Starts and Durations to denote a set of
% non-overlapping tasks, i.e.: S_i + D_i =< S_j or S_j + D_j =<
% S_i for all 1 =< i < j =< n. Example:
%
% ==
% ?- length(Vs, 3), Vs ins 0..3, serialized(Vs, [1,2,3]), label(Vs).
% Vs = [0, 1, 3] ;
% Vs = [2, 0, 3] ;
% false.
% ==
%
% @see Dorndorf et al. 2000, "Constraint Propagation Techniques for the
% Disjunctive Scheduling Problem"
serialized(Starts, Durations) :-
must_be(list(integer), Durations),
pairs_keys_values(SDs, Starts, Durations),
put_attr(Orig, clpfd_original, serialized(Starts, Durations)),
serialize(SDs, Orig).
serialize([], _).
serialize([S-D|SDs], Orig) :-
D >= 0,
serialize(SDs, S, D, Orig),
serialize(SDs, Orig).
serialize([], _, _, _).
serialize([S-D|Rest], S0, D0, Orig) :-
D >= 0,
propagator_init_trigger([S0,S], pserialized(S,D,S0,D0,Orig)),
serialize(Rest, S0, D0, Orig).
% consistency check / propagation
% Currently implements 2-b-consistency
earliest_start_time(Start, EST) :-
( fd_get(Start, D, _) ->
domain_infimum(D, EST)
; EST = n(Start)
).
latest_start_time(Start, LST) :-
( fd_get(Start, D, _) ->
domain_supremum(D, LST)
; LST = n(Start)
).
serialize_lower_upper(S_I, D_I, S_J, D_J, MState) :-
( var(S_I) ->
serialize_lower_bound(S_I, D_I, S_J, D_J, MState),
( var(S_I) -> serialize_upper_bound(S_I, D_I, S_J, D_J, MState)
; true
)
; true
).
serialize_lower_bound(I, D_I, J, D_J, MState) :-
fd_get(I, DomI, Ps),
( domain_infimum(DomI, n(EST_I)),
latest_start_time(J, n(LST_J)),
EST_I + D_I > LST_J,
earliest_start_time(J, n(EST_J)) ->
( nonvar(J) -> kill(MState)
; true
),
EST is EST_J+D_J,
domain_remove_smaller_than(DomI, EST, DomI1),
fd_put(I, DomI1, Ps)
; true
).
serialize_upper_bound(I, D_I, J, D_J, MState) :-
fd_get(I, DomI, Ps),
( domain_supremum(DomI, n(LST_I)),
earliest_start_time(J, n(EST_J)),
EST_J + D_J > LST_I,
latest_start_time(J, n(LST_J)) ->
( nonvar(J) -> kill(MState)
; true
),
LST is LST_J-D_I,
domain_remove_greater_than(DomI, LST, DomI1),
fd_put(I, DomI1, Ps)
; true
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% element(?N, +Vs, ?V)
%
% The N-th element of the list of finite domain variables Vs is V.
% Analogous to nth1/3.
element(N, Is, V) :-
must_be(list, Is),
length(Is, L),
N in 1..L,
element_(Is, 1, N, V),
propagator_init_trigger([N|Is], pelement(N,Is,V)).
element_domain(V, VD) :-
( fd_get(V, VD, _) -> true
; VD = from_to(n(V), n(V))
).
element_([], _, _, _).
element_([I|Is], N0, N, V) :-
I #\= V #==> N #\= N0,
N1 is N0 + 1,
element_(Is, N1, N, V).
integers_remaining([], _, _, D, D).
integers_remaining([V|Vs], N0, Dom, D0, D) :-
( domain_contains(Dom, N0) ->
element_domain(V, VD),
domains_union(D0, VD, D1)
; D1 = D0
),
N1 is N0 + 1,
integers_remaining(Vs, N1, Dom, D1, D).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% global_cardinality(+Vs, +Pairs)
%
% Vs is a list of finite domain variables, Pairs is a list of
% Key-Num pairs, where Key is an integer and Num is a finite
% domain variable. The constraint holds iff each V in Vs is equal
% to some key, and for each Key-Num pair in Pairs, the number of
% occurrences of Key in Vs is Num.
%
% Example:
%
% ==
% ?- Vs = [_,_,_], global_cardinality(Vs, [1-2,3-_]), label(Vs).
% Vs = [1, 1, 3] ;
% Vs = [1, 3, 1] ;
% Vs = [3, 1, 1].
% ==
global_cardinality(Xs, Pairs) :-
must_be(list, Xs),
maplist(fd_variable, Xs),
must_be(list, Pairs),
maplist(gcc_pair, Pairs),
pairs_keys_values(Pairs, Keys, Nums),
( sort(Keys, Keys1), length(Keys, LK), length(Keys1, LK) -> true
; domain_error(gcc_unique_key_pairs, Pairs)
),
length(Xs, L),
Nums ins 0..L,
list_to_domain(Keys, Dom),
domain_to_drep(Dom, Drep),
Xs ins Drep,
gcc_pairs(Pairs, Xs, Pairs1),
% pgcc_check must be installed before triggering other
% propagators
propagator_init_trigger(Xs, pgcc_check(Pairs1)),
propagator_init_trigger(Nums, pgcc_single(Xs, Pairs1)),
propagator_init_trigger(Nums, pgcc_check_single(Pairs1)),
propagator_init_trigger(Xs, pgcc(Xs, Pairs, Pairs1)).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
For each Key-Num0 pair, we introduce an auxiliary variable Num and
attach the following attributes to it:
clpfd_gcc_num: equal Num0, the user-visible counter variable
clpfd_gcc_vs: the remaining variables in the constraint that can be
equal Key.
clpfd_gcc_occurred: stores how often Key already occurred in vs.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
gcc_pairs([], _, []).
gcc_pairs([Key-Num0|KNs], Vs, [Key-Num|Rest]) :-
put_attr(Num, clpfd_gcc_num, Num0),
put_attr(Num, clpfd_gcc_vs, Vs),
put_attr(Num, clpfd_gcc_occurred, 0),
gcc_pairs(KNs, Vs, Rest).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
J.-C. Régin: "Generalized Arc Consistency for Global Cardinality
Constraint", AAAI-96 Portland, OR, USA, pp 209--215, 1996
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
gcc_global(Vs, KNs) :-
gcc_check(KNs),
% reach fix-point: all elements of clpfd_gcc_vs must be variables
do_queue,
gcc_arcs(KNs, S, Vals),
variables_with_num_occurrences(Vs, VNs),
maplist(target_to_v(T), VNs),
( get_attr(S, edges, Es) ->
put_attr(S, parent, none), % Mark S as seen to avoid going back to S.
feasible_flow(Es, S, T), % First construct a feasible flow (if any)
maximum_flow(S, T), % only then, maximize it.
gcc_consistent(T),
del_attr(S, parent),
phrase(scc(Vals), [s(0,[],gcc_successors)], _),
phrase(gcc_goals(Vals), Gs),
gcc_clear(S),
disable_queue,
maplist(call, Gs),
enable_queue
; true
).
gcc_consistent(T) :-
get_attr(T, edges, Es),
maplist(saturated_arc, Es).
saturated_arc(arc_from(_,U,_,Flow)) :- get_attr(Flow, flow, U).
gcc_goals([]) --> [].
gcc_goals([Val|Vals]) -->
{ get_attr(Val, edges, Es) },
gcc_edges_goals(Es, Val),
gcc_goals(Vals).
gcc_edges_goals([], _) --> [].
gcc_edges_goals([E|Es], Val) -->
gcc_edge_goal(E, Val),
gcc_edges_goals(Es, Val).
gcc_edge_goal(arc_from(_,_,_,_), _) --> [].
gcc_edge_goal(arc_to(_,_,V,F), Val) -->
( { get_attr(F, flow, 0),
get_attr(V, lowlink, L1),
get_attr(Val, lowlink, L2),
L1 =\= L2,
get_attr(Val, value, Value) } ->
[neq_num(V, Value)]
; []
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Like in all_distinct/1, first use breadth-first search, then
construct an augmenting path in reverse.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
maximum_flow(S, T) :-
( gcc_augmenting_path([[S]], Levels, T) ->
phrase(gcc_augmenting_path(S, T), Path),
Path = [augment(_,First,_)|Rest],
path_minimum(Rest, First, Min),
maplist(gcc_augment(Min), Path),
maplist(maplist(clear_parent), Levels),
maximum_flow(S, T)
; true
).
feasible_flow([], _, _).
feasible_flow([A|As], S, T) :-
make_arc_feasible(A, S, T),
feasible_flow(As, S, T).
make_arc_feasible(A, S, T) :-
A = arc_to(L,_,V,F),
get_attr(F, flow, Flow),
( Flow >= L -> true
; Diff is L - Flow,
put_attr(V, parent, S-augment(F,Diff,+)),
gcc_augmenting_path([[V]], Levels, T),
phrase(gcc_augmenting_path(S, T), Path),
path_minimum(Path, Diff, Min),
maplist(gcc_augment(Min), Path),
maplist(maplist(clear_parent), Levels),
make_arc_feasible(A, S, T)
).
gcc_augmenting_path(Levels0, Levels, T) :-
Levels0 = [Vs|_],
Levels1 = [Tos|Levels0],
phrase(gcc_reachables(Vs), Tos),
Tos = [_|_],
( member(To, Tos), To == T -> Levels = Levels1
; gcc_augmenting_path(Levels1, Levels, T)
).
gcc_reachables([]) --> [].
gcc_reachables([V|Vs]) -->
{ get_attr(V, edges, Es) },
gcc_reachables_(Es, V),
gcc_reachables(Vs).
gcc_reachables_([], _) --> [].
gcc_reachables_([E|Es], V) -->
gcc_reachable(E, V),
gcc_reachables_(Es, V).
gcc_reachable(arc_from(_,_,V,F), P) -->
( { \+ get_attr(V, parent, _),
get_attr(F, flow, Flow),
Flow > 0 } ->
{ put_attr(V, parent, P-augment(F,Flow,-)) },
[V]
; []
).
gcc_reachable(arc_to(_L,U,V,F), P) -->
( { \+ get_attr(V, parent, _),
get_attr(F, flow, Flow),
Flow < U } ->
{ Diff is U - Flow,
put_attr(V, parent, P-augment(F,Diff,+)) },
[V]
; []
).
path_minimum([], Min, Min).
path_minimum([augment(_,A,_)|As], Min0, Min) :-
Min1 is min(Min0,A),
path_minimum(As, Min1, Min).
gcc_augment(Min, augment(F,_,Sign)) :-
get_attr(F, flow, Flow0),
gcc_flow_(Sign, Flow0, Min, Flow),
put_attr(F, flow, Flow).
gcc_flow_(+, F0, A, F) :- F is F0 + A.
gcc_flow_(-, F0, A, F) :- F is F0 - A.
gcc_augmenting_path(S, V) -->
( { V == S } -> []
; { get_attr(V, parent, V1-Augment) },
[Augment],
gcc_augmenting_path(S, V1)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Build value network for global cardinality constraint.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
gcc_arcs([], _, []).
gcc_arcs([Key-Num0|KNs], S, Vals) :-
( get_attr(Num0, clpfd_gcc_vs, Vs) ->
get_attr(Num0, clpfd_gcc_num, Num),
get_attr(Num0, clpfd_gcc_occurred, Occ),
( nonvar(Num) -> U is Num - Occ, U = L
; fd_get(Num, _, n(L0), n(U0), _),
L is L0 - Occ, U is U0 - Occ
),
put_attr(Val, value, Key),
Vals = [Val|Rest],
put_attr(F, flow, 0),
append_edge(S, edges, arc_to(L, U, Val, F)),
put_attr(Val, edges, [arc_from(L, U, S, F)]),
variables_with_num_occurrences(Vs, VNs),
maplist(val_to_v(Val), VNs)
; Vals = Rest
),
gcc_arcs(KNs, S, Rest).
variables_with_num_occurrences(Vs0, VNs) :-
include(var, Vs0, Vs1),
msort(Vs1, Vs),
( Vs == [] -> VNs = []
; Vs = [V|Rest],
variables_with_num_occurrences(Rest, V, 1, VNs)
).
variables_with_num_occurrences([], Prev, Count, [Prev-Count]).
variables_with_num_occurrences([V|Vs], Prev, Count0, VNs) :-
( V == Prev ->
Count1 is Count0 + 1,
variables_with_num_occurrences(Vs, Prev, Count1, VNs)
; VNs = [Prev-Count0|Rest],
variables_with_num_occurrences(Vs, V, 1, Rest)
).
target_to_v(T, V-Count) :-
put_attr(F, flow, 0),
append_edge(V, edges, arc_to(0, Count, T, F)),
append_edge(T, edges, arc_from(0, Count, V, F)).
val_to_v(Val, V-Count) :-
put_attr(F, flow, 0),
append_edge(V, edges, arc_from(0, Count, Val, F)),
append_edge(Val, edges, arc_to(0, Count, V, F)).
gcc_clear(V) :-
( get_attr(V, edges, Es) ->
maplist(del_attr(V), [edges,index,lowlink,value]),
maplist(gcc_clear_edge, Es)
; true
).
gcc_clear_edge(arc_to(_,_,V,F)) :-
del_attr(F, flow),
gcc_clear(V).
gcc_clear_edge(arc_from(L,U,V,F)) :- gcc_clear_edge(arc_to(L,U,V,F)).
gcc_successors(V, Tos) :-
get_attr(V, edges, Tos0),
phrase(gcc_successors_(Tos0), Tos).
gcc_successors_([]) --> [].
gcc_successors_([E|Es]) --> gcc_succ_edge(E), gcc_successors_(Es).
gcc_succ_edge(arc_to(_,U,V,F)) -->
( { get_attr(F, flow, Flow),
Flow < U } -> [V]
; []
).
gcc_succ_edge(arc_from(_,_,V,F)) -->
( { get_attr(F, flow, Flow),
Flow > 0 } -> [V]
; []
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Simple consistency check, run before global propagation.
Importantly, it removes all ground values from clpfd_gcc_vs.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
gcc_done(Num) :-
del_attr(Num, clpfd_gcc_vs),
del_attr(Num, clpfd_gcc_num),
del_attr(Num, clpfd_gcc_occurred).
gcc_check(Pairs) :-
disable_queue,
gcc_check_(Pairs),
enable_queue.
gcc_check_([]).
gcc_check_([Key-Num0|KNs]) :-
( get_attr(Num0, clpfd_gcc_vs, Vs) ->
get_attr(Num0, clpfd_gcc_num, Num),
get_attr(Num0, clpfd_gcc_occurred, Occ0),
vs_key_min_others(Vs, Key, 0, Min, Os),
put_attr(Num0, clpfd_gcc_vs, Os),
put_attr(Num0, clpfd_gcc_occurred, Occ1),
Occ1 is Occ0 + Min,
% The queue must be disabled when posting constraints
% here, otherwise the stored (new) occurrences can differ
% from the (old) ones used in the following.
geq(Num, Occ1),
( Occ1 == Num -> gcc_done(Num0), all_neq(Os, Key)
; Os == [] -> gcc_done(Num0), Num = Occ1
; length(Os, L),
Max is Occ1 + L,
geq(Max, Num),
( nonvar(Num) -> Diff is Num - Occ1
; fd_get(Num, ND, _),
domain_infimum(ND, n(NInf)),
Diff is NInf - Occ1
),
L >= Diff,
( L =:= Diff ->
gcc_done(Num0),
Num is Occ1 + Diff,
maplist(=(Key), Os)
; true
)
)
; true
),
gcc_check_(KNs).
vs_key_min_others([], _, Min, Min, []).
vs_key_min_others([V|Vs], Key, Min0, Min, Others) :-
( fd_get(V, VD, _) ->
( domain_contains(VD, Key) ->
Others = [V|Rest],
vs_key_min_others(Vs, Key, Min0, Min, Rest)
; vs_key_min_others(Vs, Key, Min0, Min, Others)
)
; ( V =:= Key ->
Min1 is Min0 + 1,
vs_key_min_others(Vs, Key, Min1, Min, Others)
; vs_key_min_others(Vs, Key, Min0, Min, Others)
)
).
all_neq([], _).
all_neq([X|Xs], C) :-
neq_num(X, C),
all_neq(Xs, C).
gcc_pair(Pair) :-
( Pair = Key-Val ->
must_be(integer, Key),
fd_variable(Val)
; domain_error(gcc_pair, Pair)
).
%% global_cardinality(+Vs, +Pairs, +Options)
%
% Like global_cardinality/2, with Options a list of options.
% Currently, the only supported option is
%
% * cost(Cost, Matrix)
% Matrix is a list of rows, one for each variable, in the order
% they occur in Vs. Each of these rows is a list of integers, one
% for each key, in the order these keys occur in Pairs. When
% variable v_i is assigned the value of key k_j, then the
% associated cost is Matrix_{ij}. Cost is the sum of all costs.
global_cardinality(Xs, Pairs, Options) :-
global_cardinality(Xs, Pairs),
Options = [cost(Cost, Matrix)],
must_be(list(list(integer)), Matrix),
pairs_keys_values(Pairs, Keys, _),
maplist(keys_costs(Keys), Xs, Matrix, Costs),
sum(Costs, #=, Cost).
keys_costs(Keys, X, Row, C) :-
element(N, Keys, X),
element(N, Row, C).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% circuit(+Vs)
%
% True if the list Vs of finite domain variables induces a
% Hamiltonian circuit, where the k-th element of Vs denotes the
% successor of node k. Node indexing starts with 1. Examples:
%
% ==
% ?- length(Vs, _), circuit(Vs), label(Vs).
% Vs = [] ;
% Vs = [1] ;
% Vs = [2, 1] ;
% Vs = [2, 3, 1] ;
% Vs = [3, 1, 2] ;
% Vs = [2, 3, 4, 1] .
% ==
circuit(Vs) :-
must_be(list, Vs),
maplist(fd_variable, Vs),
length(Vs, L),
Vs ins 1..L,
( L =:= 1 -> true
; all_circuit(Vs, 1),
make_propagator(pcircuit(Vs), Prop),
distinct_attach(Vs, Prop, []),
trigger_prop(Prop),
do_queue
).
all_circuit([], _).
all_circuit([X|Xs], N) :-
neq_num(X, N),
N1 is N + 1,
all_circuit(Xs, N1).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Necessary condition for existence of a Hamiltonian circuit: The
graph has a single strongly connected component. If the list is
ground, the condition is also sufficient.
Ts are used as temporary variables to attach attributes:
lowlink, index: used for SCC
[arc_to(V)]: possible successors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
propagate_circuit(Vs) :-
length(Vs, N),
length(Ts, N),
circuit_graph(Vs, Ts, Ts),
phrase(scc(Ts), [s(0,[],circuit_successors)], _),
( maplist(single_component, Ts) -> Continuation = true
; Continuation = false
),
maplist(del_attrs, Ts),
Continuation.
single_component(V) :- get_attr(V, lowlink, 0).
circuit_graph([], _, _).
circuit_graph([V|Vs], Ts0, [T|Ts]) :-
put_attr(T, clpfd_var, V),
( nonvar(V) -> Ns = [V]
; fd_get(V, Dom, _),
domain_to_list(Dom, Ns)
),
phrase(circuit_edges(Ns, Ts0), Es),
put_attr(T, edges, Es),
circuit_graph(Vs, Ts0, Ts).
circuit_edges([], _) --> [].
circuit_edges([N|Ns], Ts) -->
{ nth1(N, Ts, T) },
[arc_to(T)],
circuit_edges(Ns, Ts).
circuit_successors(V, Tos) :-
get_attr(V, edges, Tos0),
maplist(arg(1), Tos0, Tos).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% automaton(+Signature, +Nodes, +Arcs)
%
% Equivalent to automaton(_, _, Signature, Nodes, Arcs, [], [], _), a
% common use case of automaton/8. In the following example, a list of
% binary finite domain variables is constrained to contain at least
% two consecutive ones:
%
% ==
% two_consecutive_ones(Vs) :-
% automaton(Vs, [source(a),sink(c)],
% [arc(a,0,a), arc(a,1,b),
% arc(b,0,a), arc(b,1,c),
% arc(c,0,c), arc(c,1,c)]).
%
% ?- length(Vs, 3), two_consecutive_ones(Vs), label(Vs).
% Vs = [0, 1, 1] ;
% Vs = [1, 1, 0] ;
% Vs = [1, 1, 1].
% ==
automaton(Sigs, Ns, As) :- automaton(_, _, Sigs, Ns, As, [], [], _).
%% automaton(?Sequence, ?Template, +Signature, +Nodes, +Arcs, +Counters, +Initials, ?Finals)
%
% True if the finite automaton induced by Nodes and Arcs (extended
% with Counters) accepts Signature. Sequence is a list of terms, all
% of the same shape. Additional constraints must link Sequence to
% Signature, if necessary. Nodes is a list of source(Node) and
% sink(Node) terms. Arcs is a list of arc(Node,Integer,Node) and
% arc(Node,Integer,Node,Exprs) terms that denote the automaton's
% transitions. Each node is represented by an arbitrary term.
% Transitions that are not mentioned go to an implicit failure node.
% Exprs is a list of arithmetic expressions, of the same length as
% Counters. In each expression, variables occurring in Counters
% correspond to old counter values, and variables occurring in
% Template correspond to the current element of Sequence. When a
% transition containing expressions is taken, counters are updated as
% stated. By default, counters remain unchanged. Counters is a list
% of variables that must not occur anywhere outside of the constraint
% goal. Initials is a list of the same length as Counters. Counter
% arithmetic on the transitions relates the counter values in
% Initials to Finals.
%
% The following example is taken from Beldiceanu, Carlsson, Debruyne
% and Petit: "Reformulation of Global Constraints Based on
% Constraints Checkers", Constraints 10(4), pp 339-362 (2005). It
% relates a sequence of integers and finite domain variables to its
% number of inflexions, which are switches between strictly ascending
% and strictly descending subsequences:
%
% ==
% sequence_inflexions(Vs, N) :-
% variables_signature(Vs, Sigs),
% Sigs ins 0..2,
% automaton(_, _, Sigs,
% [source(s),sink(i),sink(j),sink(s)],
% [arc(s,0,s), arc(s,1,j), arc(s,2,i),
% arc(i,0,i), arc(i,1,j,[C+1]), arc(i,2,i),
% arc(j,0,j), arc(j,1,j), arc(j,2,i,[C+1])], [C], [0], [N]).
%
% variables_signature([], []).
% variables_signature([V|Vs], Sigs) :-
% variables_signature_(Vs, V, Sigs).
%
% variables_signature_([], _, []).
% variables_signature_([V|Vs], Prev, [S|Sigs]) :-
% V #= Prev #<==> S #= 0,
% Prev #< V #<==> S #= 1,
% Prev #> V #<==> S #= 2,
% variables_signature_(Vs, V, Sigs).
% ==
%
% Example queries:
%
% ==
% ?- sequence_inflexions([1,2,3,3,2,1,3,0], N).
% N = 3.
%
% ?- length(Ls, 5), Ls ins 0..1, sequence_inflexions(Ls, 3), label(Ls).
% Ls = [0, 1, 0, 1, 0] ;
% Ls = [1, 0, 1, 0, 1].
% ==
template_var_path(V, Var, []) :- var(V), !, V == Var.
template_var_path(T, Var, [N|Ns]) :-
arg(N, T, Arg),
template_var_path(Arg, Var, Ns).
path_term_variable([], V, V).
path_term_variable([P|Ps], T, V) :-
arg(P, T, Arg),
path_term_variable(Ps, Arg, V).
initial_expr(_, []-1).
automaton(Seqs, Template, Sigs, Ns, As0, Cs, Is, Fs) :-
must_be(list(list), [Sigs,Ns,As0,Cs,Is]),
( var(Seqs) -> Seqs = Sigs
; must_be(list, Seqs)
),
memberchk(source(Source), Ns),
maplist(arc_normalized(Cs), As0, As),
include(sink, Ns, Sinks0),
maplist(arg(1), Sinks0, Sinks),
maplist(initial_expr, Cs, Exprs0),
phrase((arcs_relation(As, Relation),
nodes_nums(Sinks, SinkNums0),
node_num(Source, Start)),
[s([]-0, Exprs0)], [s(_,Exprs1)]),
maplist(expr0_expr, Exprs1, Exprs),
phrase(transitions(Seqs, Template, Sigs, Start, End, Exprs, Cs, Is, Fs), Tuples),
list_to_domain(SinkNums0, SinkDom),
domain_to_drep(SinkDom, SinkDrep),
tuples_in(Tuples, Relation),
End in SinkDrep.
expr0_expr(Es0-_, Es) :-
pairs_keys_values(Es0, Es1, _),
reverse(Es1, Es).
transitions([], _, [], S, S, _, _, Cs, Cs) --> [].
transitions([Seq|Seqs], Template, [Sig|Sigs], S0, S, Exprs, Counters, Cs0, Cs) -->
[[S0,Sig,S1|Is]],
{ phrase(exprs_next(Exprs, Is, Cs1), [s(Seq,Template,Counters,Cs0)], _) },
transitions(Seqs, Template, Sigs, S1, S, Exprs, Counters, Cs1, Cs).
exprs_next([], [], []) --> [].
exprs_next([Es|Ess], [I|Is], [C|Cs]) -->
exprs_values(Es, Vs),
{ element(I, Vs, C) },
exprs_next(Ess, Is, Cs).
exprs_values([], []) --> [].
exprs_values([E0|Es], [V|Vs]) -->
{ term_variables(E0, EVs0),
copy_term(E0, E),
term_variables(E, EVs),
V #= E },
match_variables(EVs0, EVs),
exprs_values(Es, Vs).
match_variables([], _) --> [].
match_variables([V0|Vs0], [V|Vs]) -->
state(s(Seq,Template,Counters,Cs0)),
{ ( template_var_path(Template, V0, Ps) ->
path_term_variable(Ps, Seq, V)
; template_var_path(Counters, V0, Ps) ->
path_term_variable(Ps, Cs0, V)
; domain_error(variable_from_template_or_counters, V0)
) },
match_variables(Vs0, Vs).
nodes_nums([], []) --> [].
nodes_nums([Node|Nodes], [Num|Nums]) -->
node_num(Node, Num),
nodes_nums(Nodes, Nums).
arcs_relation([], []) --> [].
arcs_relation([arc(S0,L,S1,Es)|As], [[From,L,To|Ns]|Rs]) -->
node_num(S0, From),
node_num(S1, To),
state(s(Nodes, Exprs0), s(Nodes, Exprs)),
{ exprs_nums(Es, Ns, Exprs0, Exprs) },
arcs_relation(As, Rs).
exprs_nums([], [], [], []).
exprs_nums([E|Es], [N|Ns], [Ex0-C0|Exs0], [Ex-C|Exs]) :-
( member(Exp-N, Ex0), Exp == E -> C = C0, Ex = Ex0
; N = C0, C is C0 + 1, Ex = [E-C0|Ex0]
),
exprs_nums(Es, Ns, Exs0, Exs).
node_num(Node, Num) -->
state(s(Nodes0-C0, Exprs), s(Nodes-C, Exprs)),
{ ( member(N-Num, Nodes0), N == Node -> C = C0, Nodes = Nodes0
; Num = C0, C is C0 + 1, Nodes = [Node-C0|Nodes0]
)
}.
sink(sink(_)).
arc_normalized(Cs, Arc0, Arc) :- arc_normalized_(Arc0, Cs, Arc).
arc_normalized_(arc(S0,L,S,Cs), _, arc(S0,L,S,Cs)).
arc_normalized_(arc(S0,L,S), Cs, arc(S0,L,S,Cs)).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% transpose(+Matrix, ?Transpose)
%
% Transpose a list of lists of the same length. Example:
%
% ==
% ?- transpose([[1,2,3],[4,5,6],[7,8,9]], Ts).
% Ts = [[1, 4, 7], [2, 5, 8], [3, 6, 9]].
% ==
%
% This predicate is useful in many constraint programs. Consider for
% instance Sudoku:
%
% ==
% sudoku(Rows) :-
% length(Rows, 9), maplist(length_(9), Rows),
% append(Rows, Vs), Vs ins 1..9,
% maplist(all_distinct, Rows),
% transpose(Rows, Columns), maplist(all_distinct, Columns),
% Rows = [A,B,C,D,E,F,G,H,I],
% blocks(A, B, C), blocks(D, E, F), blocks(G, H, I).
%
% length_(L, Ls) :- length(Ls, L).
%
% blocks([], [], []).
% blocks([A,B,C|Bs1], [D,E,F|Bs2], [G,H,I|Bs3]) :-
% all_distinct([A,B,C,D,E,F,G,H,I]),
% blocks(Bs1, Bs2, Bs3).
%
% problem(1, [[_,_,_,_,_,_,_,_,_],
% [_,_,_,_,_,3,_,8,5],
% [_,_,1,_,2,_,_,_,_],
% [_,_,_,5,_,7,_,_,_],
% [_,_,4,_,_,_,1,_,_],
% [_,9,_,_,_,_,_,_,_],
% [5,_,_,_,_,_,_,7,3],
% [_,_,2,_,1,_,_,_,_],
% [_,_,_,_,4,_,_,_,9]]).
% ==
%
% Sample query:
%
% ==
% ?- problem(1, Rows), sudoku(Rows), maplist(writeln, Rows).
% [9, 8, 7, 6, 5, 4, 3, 2, 1]
% [2, 4, 6, 1, 7, 3, 9, 8, 5]
% [3, 5, 1, 9, 2, 8, 7, 4, 6]
% [1, 2, 8, 5, 3, 7, 6, 9, 4]
% [6, 3, 4, 8, 9, 2, 1, 5, 7]
% [7, 9, 5, 4, 6, 1, 8, 3, 2]
% [5, 1, 9, 2, 8, 6, 4, 7, 3]
% [4, 7, 2, 3, 1, 9, 5, 6, 8]
% [8, 6, 3, 7, 4, 5, 2, 1, 9]
% Rows = [[9, 8, 7, 6, 5, 4, 3, 2|...], ... , [...|...]].
% ==
transpose(Ms, Ts) :-
must_be(list(list), Ms),
( Ms = [] -> Ts = []
; Ms = [F|_],
transpose(F, Ms, Ts)
).
transpose([], _, []).
transpose([_|Rs], Ms, [Ts|Tss]) :-
lists_firsts_rests(Ms, Ts, Ms1),
transpose(Rs, Ms1, Tss).
lists_firsts_rests([], [], []).
lists_firsts_rests([[F|Os]|Rest], [F|Fs], [Os|Oss]) :-
lists_firsts_rests(Rest, Fs, Oss).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% zcompare(?Order, ?A, ?B)
%
% Analogous to compare/3, with finite domain variables A and B.
% Example:
%
% ==
% fac(N, F) :-
% zcompare(C, N, 0),
% fac_(C, N, F).
%
% fac_(=, _, 1).
% fac_(>, N, F) :- F #= F0*N, N1 #= N - 1, fac(N1, F0).
% ==
%
% This version is deterministic if the first argument is instantiated:
%
% ==
% ?- fac(30, F).
% F = 265252859812191058636308480000000.
% ==
zcompare(Order, A, B) :-
( nonvar(Order) ->
zcompare_(Order, A, B)
; freeze(Order, zcompare_(Order, A, B)),
fd_variable(A),
fd_variable(B),
propagator_init_trigger(pzcompare(Order, A, B))
).
zcompare_(=, A, B) :- A #= B.
zcompare_(<, A, B) :- A #< B.
zcompare_(>, A, B) :- A #> B.
%% chain(+Zs, +Relation)
%
% Zs is a list of finite domain variables that are a chain with
% respect to the partial order Relation, in the order they appear in
% the list. Relation must be #=, #=<, #>=, #< or #>. For example:
%
% ==
% ?- chain([X,Y,Z], #>=).
% X#>=Y,
% Y#>=Z.
% ==
chain(Zs, Relation) :-
must_be(list, Zs),
maplist(fd_variable, Zs),
must_be(ground, Relation),
( chain_relation(Relation) -> true
; domain_error(chain_relation, Relation)
),
( Zs = [] -> true
; Zs = [X|Xs],
chain(Xs, X, Relation)
).
chain_relation(#=).
chain_relation(#<).
chain_relation(#=<).
chain_relation(#>).
chain_relation(#>=).
chain([], _, _).
chain([X|Xs], Prev, Relation) :-
call(Relation, Prev, X),
chain(Xs, X, Relation).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Reflection predicates
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
%% fd_var(+Var)
%
% True iff Var is a CLP(FD) variable.
fd_var(X) :- get_attr(X, clpfd, _).
%% fd_inf(+Var, -Inf)
%
% Inf is the infimum of the current domain of Var.
fd_inf(X, Inf) :-
( fd_get(X, XD, _) ->
domain_infimum(XD, Inf0),
bound_portray(Inf0, Inf)
; must_be(integer, X),
Inf = X
).
%% fd_sup(+Var, -Sup)
%
% Sup is the supremum of the current domain of Var.
fd_sup(X, Sup) :-
( fd_get(X, XD, _) ->
domain_supremum(XD, Sup0),
bound_portray(Sup0, Sup)
; must_be(integer, X),
Sup = X
).
%% fd_size(+Var, -Size)
%
% Size is the number of elements of the current domain of Var, or the
% atom *sup* if the domain is unbounded.
fd_size(X, S) :-
( fd_get(X, XD, _) ->
domain_num_elements(XD, S0),
bound_portray(S0, S)
; must_be(integer, X),
S = 1
).
%% fd_dom(+Var, -Dom)
%
% Dom is the current domain (see in/2) of Var. This predicate is
% useful if you want to reason about domains. It is not needed if you
% only want to display remaining domains; instead, separate your
% model from the search part and let the toplevel display this
% information via residual goals.
fd_dom(X, Drep) :-
( fd_get(X, XD, _) ->
domain_to_drep(XD, Drep)
; must_be(integer, X),
Drep = X..X
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Entailment detection. Subject to change.
Currently, Goals entail E if posting ({#\ E} U Goals), then
labeling all variables, fails. E must be reifiable. Examples:
%?- clpfd:goals_entail([X#>2], X #> 3).
%@ false.
%?- clpfd:goals_entail([X#>1, X#<3], X #= 2).
%@ true.
%?- clpfd:goals_entail([X#=Y+1], X #= Y+1).
%@ ERROR: Arguments are not sufficiently instantiated
%@ Exception: (15) throw(error(instantiation_error, _G2680)) ?
%?- clpfd:goals_entail([[X,Y] ins 0..10, X#=Y+1], X #= Y+1).
%@ true.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
goals_entail(Goals, E) :-
must_be(list, Goals),
\+ ( maplist(call, Goals), #\ E,
term_variables(Goals-E, Vs),
label(Vs)
).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Unification hook and constraint projection
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
attr_unify_hook(clpfd_attr(_,_,_,Dom,Ps), Other) :-
( nonvar(Other) ->
( integer(Other) -> true
; type_error(integer, Other)
),
domain_contains(Dom, Other),
trigger_props(Ps),
do_queue
; fd_get(Other, OD, OPs),
domains_intersection(OD, Dom, Dom1),
append_propagators(Ps, OPs, Ps1),
fd_put(Other, Dom1, Ps1),
trigger_props(Ps1),
do_queue
).
append_propagators(fd_props(Gs0,Bs0,Os0), fd_props(Gs1,Bs1,Os1), fd_props(Gs,Bs,Os)) :-
append(Gs0, Gs1, Gs),
append(Bs0, Bs1, Bs),
append(Os0, Os1, Os).
bound_portray(inf, inf).
bound_portray(sup, sup).
bound_portray(n(N), N).
domain_to_drep(Dom, Drep) :-
domain_intervals(Dom, [A0-B0|Rest]),
bound_portray(A0, A),
bound_portray(B0, B),
( A == B -> Drep0 = A
; Drep0 = A..B
),
intervals_to_drep(Rest, Drep0, Drep).
intervals_to_drep([], Drep, Drep).
intervals_to_drep([A0-B0|Rest], Drep0, Drep) :-
bound_portray(A0, A),
bound_portray(B0, B),
( A == B -> D1 = A
; D1 = A..B
),
intervals_to_drep(Rest, Drep0 \/ D1, Drep).
attribute_goals(X) -->
% { get_attr(X, clpfd, Attr), format("A: ~w\n", [Attr]) },
{ get_attr(X, clpfd, clpfd_attr(_,_,_,Dom,fd_props(Gs,Bs,Os))),
append(Gs, Bs, Ps0),
append(Ps0, Os, Ps),
domain_to_drep(Dom, Drep) },
( { default_domain(Dom), \+ all_dead_(Ps) } -> []
; [clpfd:(X in Drep)]
),
attributes_goals(Ps).
clpfd_aux:attribute_goals(_) --> [].
clpfd_aux:attr_unify_hook(_,_) :- false.
clpfd_gcc_vs:attribute_goals(_) --> [].
clpfd_gcc_vs:attr_unify_hook(_,_) :- false.
clpfd_gcc_num:attribute_goals(_) --> [].
clpfd_gcc_num:attr_unify_hook(_,_) :- false.
clpfd_gcc_occurred:attribute_goals(_) --> [].
clpfd_gcc_occurred:attr_unify_hook(_,_) :- false.
clpfd_relation:attribute_goals(_) --> [].
clpfd_relation:attr_unify_hook(_,_) :- false.
clpfd_original:attribute_goals(_) --> [].
clpfd_original:attr_unify_hook(_,_) :- false.
attributes_goals([]) --> [].
attributes_goals([propagator(P, State)|As]) -->
( { ground(State) } -> []
; { phrase(attribute_goal_(P), Gs) } ->
{ del_attr(State, clpfd_aux), State = processed },
with_clpfd(Gs)
; [P] % possibly user-defined constraint
),
attributes_goals(As).
with_clpfd([]) --> [].
with_clpfd([G|Gs]) --> [clpfd:G], with_clpfd(Gs).
attribute_goal_(presidual(Goal)) --> [Goal].
attribute_goal_(pgeq(A,B)) --> [A #>= B].
attribute_goal_(pplus(X,Y,Z)) --> [X + Y #= Z].
attribute_goal_(pneq(A,B)) --> [A #\= B].
attribute_goal_(ptimes(X,Y,Z)) --> [X*Y #= Z].
attribute_goal_(absdiff_neq(X,Y,C)) --> [abs(X-Y) #\= C].
attribute_goal_(absdiff_geq(X,Y,C)) --> [abs(X-Y) #>= C].
attribute_goal_(x_neq_y_plus_z(X,Y,Z)) --> [X #\= Y + Z].
attribute_goal_(x_leq_y_plus_c(X,Y,C)) --> [X #=< Y + C].
attribute_goal_(pdiv(X,Y,Z)) --> [X/Y #= Z].
attribute_goal_(pexp(X,Y,Z)) --> [X^Y #= Z].
attribute_goal_(pabs(X,Y)) --> [Y #= abs(X)].
attribute_goal_(pmod(X,M,K)) --> [X mod M #= K].
attribute_goal_(pmax(X,Y,Z)) --> [Z #= max(X,Y)].
attribute_goal_(pmin(X,Y,Z)) --> [Z #= min(X,Y)].
attribute_goal_(scalar_product_neq([FC|Cs],[FV|Vs],C)) -->
[Left #\= C],
{ coeff_var_term(FC, FV, T0), fold_product(Cs, Vs, T0, Left) }.
attribute_goal_(scalar_product_eq([FC|Cs],[FV|Vs],C)) -->
[Left #= C],
{ coeff_var_term(FC, FV, T0), fold_product(Cs, Vs, T0, Left) }.
attribute_goal_(scalar_product_leq([FC|Cs],[FV|Vs],C)) -->
[Left #=< C],
{ coeff_var_term(FC, FV, T0), fold_product(Cs, Vs, T0, Left) }.
attribute_goal_(pdifferent(_,_,_,O)) --> original_goal(O).
attribute_goal_(weak_distinct(_,_,_,O)) --> original_goal(O).
attribute_goal_(pdistinct(Vs)) --> [all_distinct(Vs)].
attribute_goal_(pexclude(_,_,_)) --> [].
attribute_goal_(pelement(N,Is,V)) --> [element(N, Is, V)].
attribute_goal_(pgcc(Vs, Pairs, _)) --> [global_cardinality(Vs, Pairs)].
attribute_goal_(pgcc_single(_,_)) --> [].
attribute_goal_(pgcc_check_single(_)) --> [].
attribute_goal_(pgcc_check(_)) --> [].
attribute_goal_(pcircuit(Vs)) --> [circuit(Vs)].
attribute_goal_(pserialized(_,_,_,_,O)) --> original_goal(O).
attribute_goal_(rel_tuple(R, Tuple)) -->
{ get_attr(R, clpfd_relation, Rel) },
[tuples_in([Tuple], Rel)].
attribute_goal_(pzcompare(O,A,B)) --> [zcompare(O,A,B)].
% reified constraints
attribute_goal_(reified_in(V, D, B)) -->
[V in Drep #<==> B],
{ domain_to_drep(D, Drep) }.
attribute_goal_(reified_tuple_in(Tuple, R, B)) -->
{ get_attr(R, clpfd_relation, Rel) },
[tuples_in([Tuple], Rel) #<==> B].
attribute_goal_(reified_fd(V,B)) --> [finite_domain(V) #<==> B].
attribute_goal_(reified_neq(DX,X,DY,Y,_,B)) --> conjunction(DX, DY, X#\=Y, B).
attribute_goal_(reified_eq(DX,X,DY,Y,_,B)) --> conjunction(DX, DY, X #= Y, B).
attribute_goal_(reified_geq(DX,X,DY,Y,_,B)) --> conjunction(DX, DY, X #>= Y, B).
attribute_goal_(reified_div(X,Y,D,_,Z)) -->
[D #= 1 #==> X / Y #= Z, Y #\= 0 #==> D #= 1].
attribute_goal_(reified_mod(X,Y,D,_,Z)) -->
[D #= 1 #==> X mod Y #= Z, Y #\= 0 #==> D #= 1].
attribute_goal_(reified_and(X,_,Y,_,B)) --> [X #/\ Y #<==> B].
attribute_goal_(reified_or(X, _, Y, _, B)) --> [X #\/ Y #<==> B].
attribute_goal_(reified_not(X, Y)) --> [#\ X #<==> Y].
attribute_goal_(pimpl(X, Y, _)) --> [X #==> Y].
conjunction(A, B, G, D) -->
( { A == 1, B == 1 } -> [G #<==> D]
; { A == 1 } -> [(B #/\ G) #<==> D]
; { B == 1 } -> [(A #/\ G) #<==> D]
; [(A #/\ B #/\ G) #<==> D]
).
coeff_var_term(C, V, T) :- ( C =:= 1 -> T = V ; T = C*V ).
fold_product([], [], P, P).
fold_product([C|Cs], [V|Vs], P0, P) :-
coeff_var_term(C, V, T),
fold_product(Cs, Vs, P0 + T, P).
original_goal(V) -->
( { get_attr(V, clpfd_original, Goal) } ->
{ del_attr(V, clpfd_original) },
[Goal]
; []
).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %?- test_intersection([1,2,3,4,5], [1,5], I).
% %?- test_intersection([1,2,3,4,5], [], I).
% test_intersection(List1, List2, Is) :-
% list_to_domain(List1, D1),
% list_to_domain(List2, D2),
% domains_intersection(D1, D2, I),
% domain_to_list(I, Is).
% test_subdomain(L1, L2) :-
% list_to_domain(L1, D1),
% list_to_domain(L2, D2),
% domain_subdomain(D1, D2).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Generated predicates
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
term_expansion(make_parse_clpfd, Clauses) :- make_parse_clpfd(Clauses).
term_expansion(make_parse_reified, Clauses) :- make_parse_reified(Clauses).
term_expansion(make_matches, Clauses) :- make_matches(Clauses).
make_parse_clpfd.
make_parse_reified.
make_matches.
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Global variables
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
make_clpfd_var('$clpfd_queue') :-
make_queue.
make_clpfd_var('$clpfd_current_propagator') :-
nb_setval('$clpfd_current_propagator', []).
make_clpfd_var('$clpfd_queue_status') :-
nb_setval('$clpfd_queue_status', enabled).
:- multifile user:exception/3.
user:exception(undefined_global_variable, Name, retry) :-
make_clpfd_var(Name), !.
warn_if_bounded_arithmetic :-
( current_prolog_flag(bounded, true) ->
print_message(warning, clpfd(bounded))
; true
).
:- initialization(warn_if_bounded_arithmetic).
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Messages
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
:- multifile prolog:message//1.
prolog:message(clpfd(bounded)) -->
['Using CLP(FD) with bounded arithmetic may yield wrong results.'-[]].
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