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/*
 * 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.constraints.real;

import gnu.trove.map.hash.TIntIntHashMap;

import org.chocosolver.solver.Model;
import org.chocosolver.solver.constraints.Constraint;
import org.chocosolver.solver.variables.BoolVar;
import org.chocosolver.solver.variables.Variable;

import java.util.ArrayList;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

import static org.chocosolver.solver.constraints.ConstraintsName.REALCONSTRAINT;

/**
 * A constraint on real variables, solved using IBEX. 
* * @author Charles Prud'homme, Jean-Guillaume Fages * @since 18/07/12 */ public class RealConstraint extends Constraint { private static final Pattern p0 = Pattern.compile("\\{\\d*\\}"); private static final Pattern p1 = Pattern.compile("\\{_"); //*********************************************************************************** // CONSTRUCTORS //*********************************************************************************** /** * Make a new RealConstraint defined as a set of RealPropagators * * @param name name of the constraint * @param propagators set of propagators defining the constraint */ private RealConstraint(String name, RealPropagator... propagators) { super(name, propagators); } /** * Make a new RealConstraint to model one or more continuous functions, separated with * semi-colon ";"
A function is a string declared using the following format:
- the * '{i}' tag defines a variable, where 'i' is an explicit index the array of variables * vars,
- one or more operators :'+,-,*,/,=,<,>,<=,>=,exp( ),ln( ),max( * ),min( ),abs( ),cos( ), sin( ),...'
A complete list is available in the documentation * of IBEX. *

*

*

     *     model.realIbexGenericConstraint("({0}*{1})+sin({0})=1.0;ln({0}+[-0.1,0.1])>=2.6", x,
     * y).post();
     * 
*
* * @param functions list of functions, separated by a semi-colon * @param rvars a list of real variables */ public RealConstraint(String functions, Variable... rvars) { this(REALCONSTRAINT, createPropagator(functions, rvars)); } //*********************************************************************************** // METHODS //*********************************************************************************** /** * Creates a RealPropagator to propagate one or more continuous functions, separated with * semi-colon ";" Each function is set to a single propagator.
A function is a string * declared using the following format:
- the '{i}' tag defines a variable, where 'i' is an * explicit index the array of variables vars,
- one or more operators * :'+,-,*,/,=,<,>,<=,>=,exp( ),ln( ),max( ),min( ),abs( ),cos( ), sin( ),...'
A complete * list is available in the documentation of IBEX. *

*

*

     *     model.realIbexGenericConstraint("({0}*{1})+sin({0})=1.0;ln({0}+[-0.1,0.1])>=2.6", x,
     * y).post();
     * 
*
* * @param functions list of functions, separated by a semi-colon * @param rvars a list of real variables * @return a RealPropagator to propagate the given functions over given variable domains */ private static RealPropagator[] createPropagator(String functions, Variable... rvars) { // split functions to correctly maintain indices of contractors String[] theFunctions = functions.split(";"); RealPropagator[] props = new RealPropagator[theFunctions.length]; List vars = new ArrayList<>(); TIntIntHashMap sidx = new TIntIntHashMap(); for (int i = 0; i < props.length; i++) { String fct = theFunctions[i]; // determine the sub-scope of variables Matcher m = p0.matcher(fct); while (m.find()) { String g = m.group(); int id = Integer.parseInt(g.substring(1, g.length() - 1)); if (!sidx.contains(id)) { sidx.put(id, vars.size()); vars.add(rvars[id]); } } // update the function for (int k : sidx.keys()) { fct = fct.replaceAll( "\\{" + k + "\\}", "{_" + sidx.get(k) + "}"); } fct = p1.matcher(fct).replaceAll("{"); props[i] = new RealPropagator(fct, vars.toArray(new Variable[0])); sidx.clear(); vars.clear(); } return props; } /** * Reifies the constraint with a boolean variable * If the reified boolean variable already exists, an additional (equality) constraint is automatically posted. * * @param bool the variable to reify with */ public void reifyWith(BoolVar bool) { Model s = propagators[0].getModel(); getOpposite(); if (boolReif == null) { this.post(); boolReif = bool; if(propagators.length == 1) { ((RealPropagator) propagators[0]).reify(bool); }else { BoolVar[] bvars = bool.getModel().boolVarArray(propagators.length); for (int i = 0; i < propagators.length; i++) { ((RealPropagator) propagators[i]).reify(bvars[i]); } bool.getModel().addClausesBoolAndArrayEqVar(bvars, bool); } } else if (bool != boolReif) { s.arithm(bool, "=", boolReif).post(); } } }




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