All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.chocosolver.solver.constraints.nary.automata.PropRegular Maven / Gradle / Ivy

There is a newer version: 4.10.16
Show newest version
/**
 * This file is part of choco-solver, http://choco-solver.org/
 *
 * Copyright (c) 2018, 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.nary.automata;

import gnu.trove.iterator.TIntIterator;
import gnu.trove.set.hash.TIntHashSet;
import org.chocosolver.memory.IEnvironment;
import org.chocosolver.solver.constraints.Propagator;
import org.chocosolver.solver.constraints.PropagatorPriority;
import org.chocosolver.solver.constraints.nary.automata.FA.IAutomaton;
import org.chocosolver.solver.constraints.nary.automata.structure.Node;
import org.chocosolver.solver.constraints.nary.automata.structure.regular.Arc;
import org.chocosolver.solver.constraints.nary.automata.structure.regular.StoredDirectedMultiGraph;
import org.chocosolver.solver.exception.ContradictionException;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.solver.variables.Variable;
import org.chocosolver.solver.variables.delta.IIntDeltaMonitor;
import org.chocosolver.solver.variables.events.PropagatorEventType;
import org.chocosolver.util.ESat;
import org.chocosolver.util.procedure.UnaryIntProcedure;
import org.jgrapht.graph.DirectedMultigraph;

import java.util.ArrayList;
import java.util.BitSet;
import java.util.HashSet;

/**
 * 
* * @author Charles Prud'homme * @since 06/06/11 */ public class PropRegular extends Propagator { private StoredDirectedMultiGraph graph; private final IAutomaton automaton; private final RemProc rem_proc; private final IIntDeltaMonitor[] idms; public PropRegular(IntVar[] variables, IAutomaton automaton) { super(variables, PropagatorPriority.LINEAR, true); this.idms = new IIntDeltaMonitor[this.vars.length]; for (int i = 0; i < this.vars.length; i++) { idms[i] = this.vars[i].monitorDelta(this); } rem_proc = new RemProc(this); this.automaton = automaton; graph = initGraph(model.getEnvironment(), vars, automaton); } @Override public void propagate(int evtmask) throws ContradictionException { assert evtmask == PropagatorEventType.FULL_PROPAGATION.getMask(); for (int i = 0; i < idms.length; i++) { idms[i].freeze(); // as the graph was build on initial domain, this is allowed (specific case) idms[i].forEachRemVal(rem_proc.set(i)); for (int j = vars[i].getLB(); j <= vars[i].getUB(); j = vars[i].nextValue(j)) { if (!graph.hasSupport(i, j)) { vars[i].removeValue(j, this); } } idms[i].unfreeze(); } } @Override public void propagate(int varIdx, int mask) throws ContradictionException { idms[varIdx].freeze(); idms[varIdx].forEachRemVal(rem_proc.set(varIdx)); idms[varIdx].unfreeze(); } @Override public ESat isEntailed() { if (this.isCompletelyInstantiated()) { int[] str = new int[vars.length]; for (int i = 0; i < vars.length; i++) { str[i] = vars[i].getValue(); } return ESat.eval(automaton.run(str)); } return ESat.UNDEFINED; } //////////////////////////////////////////////////////////////////////////////////////////////////////////////////// private static class RemProc implements UnaryIntProcedure { private final PropRegular p; private int idxVar; public RemProc(PropRegular p) { this.p = p; } @Override public UnaryIntProcedure set(Integer idxVar) { this.idxVar = idxVar; return this; } @Override public void execute(int i) throws ContradictionException { p.graph.clearSupports(idxVar, i, p); } } @Override public String toString() { StringBuilder sb = new StringBuilder(32); sb.append("Regular").append("("); for (int i = 0; i < vars.length; i++) { if (i > 0) sb.append(", "); Variable var = vars[i]; sb.append(var.getName()); } sb.append(")"); // sb.append(propagators[0].toString()); return sb.toString(); } ////////////////////// private static StoredDirectedMultiGraph initGraph(IEnvironment environment, IntVar[] vars, IAutomaton auto) { int aid = 0; int nid = 0; int[] offsets = new int[vars.length]; int[] sizes = new int[vars.length]; int[] starts = new int[vars.length]; int totalSizes = 0; starts[0] = 0; for (int i = 0; i < vars.length; i++) { offsets[i] = vars[i].getLB(); sizes[i] = vars[i].getUB() - vars[i].getLB() + 1; if (i > 0) starts[i] = sizes[i - 1] + starts[i - 1]; totalSizes += sizes[i]; } DirectedMultigraph graph; int n = vars.length; graph = new DirectedMultigraph<>(null, null, false); ArrayList> tmp = new ArrayList<>(totalSizes); for (int i = 0; i < totalSizes; i++) tmp.add(new HashSet<>()); int i, j, k; TIntIterator layerIter; TIntIterator qijIter; //forward pass, construct all paths described by the automaton for word of length nbVars. TIntHashSet[] layer = new TIntHashSet[n + 1]; TIntHashSet[] tmpQ = new TIntHashSet[totalSizes]; for (i = 0; i <= n; i++) { layer[i] = new TIntHashSet(); } layer[0].add(auto.getInitialState()); TIntHashSet nexts = new TIntHashSet(); for (i = 0; i < n; i++) { int ub = vars[i].getUB(); for (j = vars[i].getLB(); j <= ub; j = vars[i].nextValue(j)) { layerIter = layer[i].iterator(); while (layerIter.hasNext()) { k = layerIter.next(); nexts.clear(); auto.delta(k, j, nexts); for (TIntIterator it = nexts.iterator(); it.hasNext(); ) { int succ = it.next(); layer[i + 1].add(succ); } if (!nexts.isEmpty()) { int idx = starts[i] + j - offsets[i]; if (tmpQ[idx] == null) tmpQ[idx] = new TIntHashSet(); tmpQ[idx].add(k); } } } } //removing reachable non accepting states layerIter = layer[n].iterator(); while (layerIter.hasNext()) { k = layerIter.next(); if (auto.isNotFinal(k)) { layerIter.remove(); } } //backward pass, removing arcs that does not lead to an accepting state int nbNodes = auto.getNbStates(); BitSet mark = new BitSet(nbNodes); Node[] in = new Node[auto.getNbStates() * (n + 1)]; for (i = n - 1; i >= 0; i--) { mark.clear(0, nbNodes); int ub = vars[i].getUB(); for (j = vars[i].getLB(); j <= ub; j = vars[i].nextValue(j)) { int idx = starts[i] + j - offsets[i]; TIntHashSet l = tmpQ[idx]; if (l != null) { qijIter = l.iterator(); while (qijIter.hasNext()) { k = qijIter.next(); nexts.clear(); auto.delta(k, j, nexts); boolean added = false; for (TIntIterator it = nexts.iterator(); it.hasNext(); ) { int qn = it.next(); if (layer[i + 1].contains(qn)) { added = true; Node a = in[i * auto.getNbStates() + k]; if (a == null) { a = new Node(k, i, nid++); in[i * auto.getNbStates() + k] = a; graph.addVertex(a); } Node b = in[(i + 1) * auto.getNbStates() + qn]; if (b == null) { b = new Node(qn, i + 1, nid++); in[(i + 1) * auto.getNbStates() + qn] = b; graph.addVertex(b); } // BEWARE: cost is not required, 0.0 is a default value Arc arc = new Arc(a, b, j, aid++); graph.addEdge(a, b, arc); tmp.get(idx).add(arc); mark.set(k); } } if (!added) qijIter.remove(); } } } layerIter = layer[i].iterator(); // If no more arcs go out of a given state in the layer, then we remove the state from that layer while (layerIter.hasNext()) if (!mark.get(layerIter.next())) layerIter.remove(); } return new StoredDirectedMultiGraph(environment, graph, starts, offsets, totalSizes); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy