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Open-source constraint solver.
/*
* This file is part of choco-solver, http://choco-solver.org/
*
* Copyright (c) 2022, IMT Atlantique. All rights reserved.
*
* Licensed under the BSD 4-clause license.
*
* See LICENSE file in the project root for full license information.
*/
package org.chocosolver.solver.constraints.extension.nary;
import gnu.trove.set.TIntSet;
import gnu.trove.set.hash.TIntHashSet;
import org.chocosolver.solver.constraints.Propagator;
import org.chocosolver.solver.constraints.PropagatorPriority;
import org.chocosolver.solver.exception.ContradictionException;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.util.ESat;
import org.chocosolver.util.objects.StoredSparseSet;
import org.chocosolver.util.objects.graphs.MultivaluedDecisionDiagram;
/**
* Implementation based on "Maintaining GAC on adhoc r-ary constraints", Cheng and Yap, CP12.
*
* Created by cprudhom on 04/11/14.
* Project: choco.
*/
public class PropLargeMDDC extends Propagator {
private final TIntSet yes;
private final TIntSet[] sets;
private final StoredSparseSet no;
private final MultivaluedDecisionDiagram MDD;
private final int nvars;
/**
* Create a propagator maintaining GAC based on a MDD.
* The MDD can be shared between multiple propagators, no copy is achieved.
*
* @param MDD Multi-valued Decision Diagram, stores the solutions
* @param VARS the related variables -- the order is important, and need to match the MDD.
*/
public PropLargeMDDC(MultivaluedDecisionDiagram MDD, IntVar... VARS) {
super(VARS, PropagatorPriority.QUADRATIC, false);
this.MDD = MDD;
this.nvars = vars.length;
this.yes = new TIntHashSet();
this.no = new StoredSparseSet(VARS[0].getEnvironment());
this.sets = new TIntHashSet[nvars];
for (int i = 0; i < nvars; i++) {
this.sets[i] = new TIntHashSet(vars[i].getDomainSize());
}
}
@Override
public void propagate(int evtmask) throws ContradictionException {
mddc();
}
@Override
public ESat isEntailed() {
if (isCompletelyInstantiated()) {
int[] diag = MDD.getDiagram();
int l = 0;
int n = vars[l].getValue() - MDD.getOffset(l);
while (l < nvars - 1 && diag[n] > 0) {
l++;
n = diag[n] + vars[l].getValue() - MDD.getOffset(l);
}
return ESat.eval(l == nvars - 1 && diag[n] == MultivaluedDecisionDiagram.TERMINAL);
}
return ESat.UNDEFINED;
}
private void mddc() throws ContradictionException {
yes.clear();
for (int i = 0; i < nvars; i++) {
sets[i].clear();
int o = MDD.getOffset(i);
int UB = vars[i].getUB();
for (int j = vars[i].getLB(); j <= UB; j = vars[i].nextValue(j)) {
sets[i].add(j - o);
}
}
mddcSeekSupport(0, 0);
for (int i = 0; i < nvars; i++) {
int o = MDD.getOffset(i);
int[] values = sets[i].toArray();
for (int j = 0; j < values.length; j++) {
vars[i].removeValue(values[j] + o, this);
}
}
}
private boolean mddcSeekSupport(int node, int layer) {
// If the node has already been visited
if (yes.contains(node)) return true;
if (no.contains(node)) return false;
// otherwise ...
boolean res = false;
// get the initial LB of the variable, required for 'contains'
int o = MDD.getOffset(layer);
for (int i = 0; i < MDD.getNodeSize(layer); i++) { // for all node of the same layer
int sG = MDD.getEdge(node + i); // get the sub-mmd induced
// if there is a sub-mdds valid
if (sG != MultivaluedDecisionDiagram.EMPTY && vars[layer].contains(i + o)
&& (sG == MultivaluedDecisionDiagram.TERMINAL || mddcSeekSupport(sG, layer + 1))) {
res = true;
sets[layer].remove(i);
int l2 = layer;
while (l2 < nvars && sets[l2].isEmpty()) {
l2++;
}
if (l2 == nvars) break;
}
}
if (res) {
yes.add(node);
} else {
no.add(node);
}
return res;
}
}