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

org.chocosolver.solver.expression.discrete.relational.NaReExpression Maven / Gradle / Ivy

There is a newer version: 4.10.17
Show newest version
/*
 * This file is part of choco-solver, http://choco-solver.org/
 *
 * Copyright (c) 2019, 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.expression.discrete.relational;

import org.chocosolver.solver.Model;
import org.chocosolver.solver.constraints.Constraint;
import org.chocosolver.solver.exception.SolverException;
import org.chocosolver.solver.expression.discrete.arithmetic.ArExpression;
import org.chocosolver.solver.variables.BoolVar;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.util.tools.ArrayUtils;

import java.util.Arrays;
import java.util.HashSet;
import java.util.Map;

/**
 * Binary relational expression
 * 

* Project: choco-solver. * * @author Charles Prud'homme * @since 28/04/2016. */ public class NaReExpression implements ReExpression { /** * The model in which the expression is declared */ Model model; /** * Lazy creation of the underlying variable */ BoolVar me = null; /** * Operator of the arithmetic expression */ Operator op; /** * The expressions this expression relies on */ private ArExpression[] es; /** * Builds a nary expression * * @param op an operator * @param e an expression * @param es some expressions */ public NaReExpression(Operator op, ArExpression e, ArExpression... es) { this(op, ArrayUtils.append(new ArExpression[]{e}, es)); } /** * Builds a binary expression * * @param op an operator * @param es some expressions */ public NaReExpression(Operator op, ArExpression... es) { this.model = es[0].getModel(); this.op = op; this.es = es; } @Override public Model getModel() { return model; } @Override public BoolVar boolVar() { if (me == null) { IntVar[] vs = Arrays.stream(es).map(ArExpression::intVar).toArray(IntVar[]::new); me = model.boolVar(model.generateName(op+"_exp_")); if (op == Operator.EQ) { if (vs.length == 2) { model.reifyXeqY(vs[0], vs[1], me); } else { IntVar count = model.intVar(op + "_count_", 1, vs.length); model.atMostNValues(vs, count, false).post(); model.reifyXltC(count, 2, me); } } else { throw new UnsupportedOperationException( "Binary arithmetic expressions does not support " + op.name()); } } return me; } @Override public void extractVar(HashSet variables) { Arrays.stream(es).forEach(e -> e.extractVar(variables)); } @Override public Constraint decompose() { IntVar[] vs = Arrays.stream(es).map(ArExpression::intVar).toArray(IntVar[]::new); switch (op) { case EQ: if(vs.length == 2){ return model.arithm(vs[0], "=", vs[1]); }else { return model.allEqual(vs); } } throw new SolverException("Unexpected case"); } @Override public boolean beval(int[] values, Map map) { boolean eval = true; for(int i = 1; i < es.length; i++){ eval &= op.eval(es[0].ieval(values, map), es[i].ieval(values, map)); } return eval; } @Override public String toString() { return op.name() + "(" + es[0].toString() + ", ...," + es[es.length - 1].toString() + ")"; } }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy