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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.expression.discrete.arithmetic;
import org.chocosolver.solver.Model;
import org.chocosolver.solver.variables.IntVar;
import org.chocosolver.util.tools.ArrayUtils;
import org.chocosolver.util.tools.VariableUtils;
import java.util.Arrays;
import java.util.Map;
/**
* Binary arithmetic expression
*
* Project: choco-solver.
*
* @author Charles Prud'homme
* @since 28/04/2016.
*/
public class NaArExpression implements ArExpression {
/**
* The model in which the expression is declared
*/
Model model;
/**
* Lazy creation of the underlying variable
*/
IntVar me = null;
/**
* Operator of the arithmetic expression
*/
Operator op;
/**
* The expressions this expression relies on
*/
private final ArExpression[] es;
/**
* Builds a n-ary expression
*
* @param op an operator
* @param es some expressions
*/
public NaArExpression(Operator op, ArExpression e, ArExpression... es) {
this(op, ArrayUtils.append(new ArExpression[]{e}, es));
}
/**
* Builds a n-ary expression
*
* @param op an operator
* @param es some expressions
*/
public NaArExpression(Operator op, ArExpression... es) {
this.op = op;
this.es = es;
this.model = es[0].getModel();
}
@Override
public Model getModel() {
return model;
}
public Operator getOp() {
return op;
}
@Override
public IntVar intVar() {
if (me == null) {
IntVar[] vs = Arrays.stream(es).map(ArExpression::intVar).toArray(IntVar[]::new);
int[] bounds;
switch (op) {
case ADD:
bounds = VariableUtils.boundsForAddition(vs);
me = model.intVar(model.generateName("sum_exp_"), bounds[0], bounds[1]);
model.sum(vs, "=", me).post();
break;
case MUL:
bounds = VariableUtils.boundsForMultiplication(vs[0], vs[1]);
me = model.intVar(model.generateName("mul_exp_0_"), bounds[0], bounds[1]);
model.times(vs[0], vs[1], me).post();
for (int i = 2; i < vs.length; i++) {
IntVar pre = me;
bounds = VariableUtils.boundsForMultiplication(pre, vs[i]);
me = model.intVar(model.generateName("mul_exp_0_"), bounds[0], bounds[1]);
model.times(pre, vs[i], me).post();
}
break;
case MIN:
bounds = VariableUtils.boundsForMinimum(vs);
me = model.intVar(model.generateName("min_exp_"), bounds[0], bounds[1]);
model.min(me, vs).post();
break;
case MAX:
bounds = VariableUtils.boundsForMaximum(vs);
me = model.intVar(model.generateName("max_exp_"), bounds[0], bounds[1]);
model.max(me, vs).post();
break;
default:
throw new UnsupportedOperationException("Binary arithmetic expressions does not support " + op.name());
}
}
return me;
}
@Override
public int ieval(int[] values, Map map) {
// int r = es[0].eval(values, map);
return Arrays.stream(es)
.mapToInt(e -> e.ieval(values, map))
.reduce(op.identity(), (e1, e2) -> op.eval(e1, e2));
}
@Override
public int getNoChild() {
return es.length;
}
@Override
public ArExpression[] getExpressionChild() {
return es;
}
@Override
public String toString() {
return op.name() + "(" + es[0].toString() + ",... ," + es[es.length - 1].toString() + ")";
}
}