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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 org.chocosolver.solver.constraints.Operator;
import org.chocosolver.solver.constraints.Propagator;
import org.chocosolver.solver.constraints.PropagatorPriority;
import org.chocosolver.solver.exception.ContradictionException;
import org.chocosolver.solver.variables.Variable;
import org.chocosolver.solver.variables.events.IntEventType;
import org.chocosolver.solver.variables.events.RealEventType;
import org.chocosolver.util.ESat;
import org.chocosolver.util.tools.VariableUtils;

import java.util.Arrays;
import java.util.OptionalDouble;

/**
 * A propagator for SUM(x_i*c_i) = b 
Based on "Bounds Consistency Techniques for Long Linear * Constraint"
W. Harvey and J. Schimpf

* * @author Charles Prud'homme * @since 18/03/11 */ public class PropScalarMixed extends Propagator { /** * Number of variables */ protected final int l; /** * Bound to respect */ protected final double b; /** * Variability of each variable (ie domain amplitude) */ protected final double[] I; /** * Stores the maximal variability */ protected double maxI; /** * SUm of lower bounds */ protected double sumLB; /** * Sum of upper bounds */ protected double sumUB; /** * The operator among EQ, LE, GE and NE */ protected final Operator o; /** * The coefficients */ private final double[] c; /** * Smallest precision */ private final double sprc; /** * Create a scalar product: SCALAR(x_i*c_i) o b * * @param variables list of variables * @param coeffs list of coefficients * @param o operator * @param b bound to respect. */ public PropScalarMixed(Variable[] variables, double[] coeffs, Operator o, double b) { super(variables, PropagatorPriority.LINEAR, false); this.c = coeffs; l = variables.length; OptionalDouble d = Arrays.stream(vars) .filter(VariableUtils::isReal) .mapToDouble(r -> r.asRealVar().getPrecision()) .min(); if (d.isPresent()) { sprc = d.getAsDouble(); } else { sprc = variables[0].getModel().getPrecision(); } this.o = o; this.b = b; I = new double[l]; maxI = 0; } @Override public int getPropagationConditions(int vIdx) { switch (o) { case LE: if (VariableUtils.isReal(vars[vIdx])) { return c[vIdx] > 0 ? RealEventType.INCLOW.getMask() : RealEventType.DECUPP.getMask(); } else { return IntEventType.combine(IntEventType.INSTANTIATE, c[vIdx] > 0 ? IntEventType.INCLOW : IntEventType.DECUPP); } case GE: if (VariableUtils.isReal(vars[vIdx])) { return c[vIdx] > 0 ? RealEventType.DECUPP.getMask() : RealEventType.INCLOW.getMask(); } else { return IntEventType.combine(IntEventType.INSTANTIATE, c[vIdx] > 0 ? IntEventType.DECUPP : IntEventType.INCLOW); } default: if (VariableUtils.isReal(vars[vIdx])) { return RealEventType.BOUND.getMask(); } else { return IntEventType.boundAndInst(); } } } @Override public void propagate(int evtmask) throws ContradictionException { filter(); } /** * Execute filtering wrt the operator * * @throws ContradictionException if contradiction is detected */ protected void filter() throws ContradictionException { prepare(); switch (o) { case LE: filterOnLeq(); break; case GE: filterOnGeq(); break; default: filterOnEq(); break; } } protected void prepare() { sumLB = sumUB = 0; double lb, ub; maxI = 0; for (int i = 0; i < l; i++) { // first the positive coefficients if (VariableUtils.isReal(vars[i])) { if (c[i] > 0) { lb = vars[i].asRealVar().getLB() * c[i]; ub = vars[i].asRealVar().getUB() * c[i]; } else { lb = vars[i].asRealVar().getUB() * c[i]; ub = vars[i].asRealVar().getLB() * c[i]; } } else { if (c[i] > 0) { lb = vars[i].asIntVar().getLB() * c[i]; ub = vars[i].asIntVar().getUB() * c[i]; } else { lb = vars[i].asIntVar().getUB() * c[i]; ub = vars[i].asIntVar().getLB() * c[i]; } } sumLB += lb; sumUB += ub; I[i] = (ub - lb); if (maxI < I[i]) maxI = I[i]; } } protected void filterOnEq() throws ContradictionException { boolean anychange; double F = b - sumLB; double E = sumUB - b; do { anychange = false; if (F < 0 || E < 0) { fails(); } if (maxI - F > sprc || maxI - E > sprc) { maxI = 0; double lb, ub; for (int i = 0; i < l; i++) { if (I[i] - F > 0) { if (c[i] > 0) { if (VariableUtils.isReal(vars[i])) { lb = vars[i].asRealVar().getLB() * c[i]; ub = lb + I[i]; if (vars[i].asRealVar().updateUpperBound((F + lb) / c[i], this)) { double nub = vars[i].asRealVar().getUB() * c[i]; E += nub - ub; I[i] = nub - lb; anychange = true; } } else { lb = vars[i].asIntVar().getLB() * c[i]; ub = lb + I[i]; if (vars[i].asIntVar().updateUpperBound(divFloor(F + lb, c[i]), this)) { double nub = vars[i].asIntVar().getUB() * c[i]; E += nub - ub; I[i] = nub - lb; anychange = true; } } } else { if (VariableUtils.isReal(vars[i])) { lb = vars[i].asRealVar().getUB() * c[i]; ub = lb + I[i]; if (vars[i].asRealVar().updateLowerBound((-F - lb) / -c[i], this)) { double nub = vars[i].asRealVar().getLB() * c[i]; E += nub - ub; I[i] = nub - lb; anychange = true; } } else { lb = vars[i].asIntVar().getUB() * c[i]; ub = lb + I[i]; if (vars[i].asIntVar().updateLowerBound(divCeil(-F - lb, -c[i]), this)) { double nub = vars[i].asIntVar().getLB() * c[i]; E += nub - ub; I[i] = nub - lb; anychange = true; } } } } if (I[i] - E > 0) { if (c[i] > 0) { if (VariableUtils.isReal(vars[i])) { ub = vars[i].asRealVar().getUB() * c[i]; lb = ub - I[i]; if (vars[i].asRealVar().updateLowerBound((ub - E) / c[i], this)) { double nlb = vars[i].asRealVar().getLB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; anychange = true; } } else { ub = vars[i].asIntVar().getUB() * c[i]; lb = ub - I[i]; if (vars[i].asIntVar().updateLowerBound(divCeil(ub - E, c[i]), this)) { double nlb = vars[i].asIntVar().getLB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; anychange = true; } } } else { if (VariableUtils.isReal(vars[i])) { ub = vars[i].asRealVar().getLB() * c[i]; lb = ub - I[i]; if (vars[i].asRealVar().updateUpperBound((-ub + E) / -c[i], this)) { double nlb = vars[i].asRealVar().getUB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; anychange = true; } } else { ub = vars[i].asIntVar().getLB() * c[i]; lb = ub - I[i]; if (vars[i].asIntVar().updateUpperBound(divFloor(-ub + E, -c[i]), this)) { double nlb = vars[i].asIntVar().getUB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; anychange = true; } } } } if (maxI < I[i]) maxI = I[i]; } } if (F < 0 && E < 0) { this.setPassive(); return; } } while (anychange); } protected void filterOnLeq() throws ContradictionException { double F = b - sumLB; double E = sumUB - b; if (F < 0) { fails(); } if (maxI - F > sprc) { maxI = 0; double lb, ub; for (int i = 0; i < l; i++) { if (I[i] - F > 0) { if (c[i] > 0) { if (VariableUtils.isReal(vars[i])) { lb = vars[i].asRealVar().getLB() * c[i]; ub = lb + I[i]; if (vars[i].asRealVar().updateUpperBound((F + lb) / c[i], this)) { double nub = vars[i].asRealVar().getUB() * c[i]; E += nub - ub; I[i] = nub - lb; } } else { lb = vars[i].asIntVar().getLB() * c[i]; ub = lb + I[i]; if (vars[i].asIntVar().updateUpperBound(divFloor(F + lb, c[i]), this)) { double nub = vars[i].asIntVar().getUB() * c[i]; E += nub - ub; I[i] = nub - lb; } } } else { if (VariableUtils.isReal(vars[i])) { lb = vars[i].asRealVar().getUB() * c[i]; ub = lb + I[i]; if (vars[i].asRealVar().updateLowerBound((-F - lb) / -c[i], this)) { double nub = vars[i].asRealVar().getLB() * c[i]; E += nub - ub; I[i] = nub - lb; } } else { lb = vars[i].asIntVar().getUB() * c[i]; ub = lb + I[i]; if (vars[i].asIntVar().updateLowerBound(divCeil(-F - lb, -c[i]), this)) { double nub = vars[i].asIntVar().getLB() * c[i]; E += nub - ub; I[i] = nub - lb; } } } } if (maxI < I[i]) maxI = I[i]; } } if (E < 0) { this.setPassive(); } } protected void filterOnGeq() throws ContradictionException { double F = b - sumLB; double E = sumUB - b; if (E < 0) { fails(); } if (maxI - E > sprc) { maxI = 0; double lb, ub; for (int i = 0; i < l; i++) { if (I[i] - E > 0) { if (c[i] > 0) { if (VariableUtils.isReal(vars[i])) { ub = vars[i].asRealVar().getUB() * c[i]; lb = ub - I[i]; if (vars[i].asRealVar().updateLowerBound((ub - E) / c[i], this)) { double nlb = vars[i].asRealVar().getLB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; } } else { ub = vars[i].asIntVar().getUB() * c[i]; lb = ub - I[i]; if (vars[i].asIntVar().updateLowerBound(divCeil(ub - E, c[i]), this)) { double nlb = vars[i].asIntVar().getLB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; } } } else { if (VariableUtils.isReal(vars[i])) { ub = vars[i].asRealVar().getLB() * c[i]; lb = ub - I[i]; if (vars[i].asRealVar().updateUpperBound((-ub + E) / -c[i], this)) { double nlb = vars[i].asRealVar().getUB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; } } else { ub = vars[i].asIntVar().getLB() * c[i]; lb = ub - I[i]; if (vars[i].asIntVar().updateUpperBound(divFloor(-ub + E, -c[i]), this)) { double nlb = vars[i].asIntVar().getUB() * c[i]; F -= nlb - lb; I[i] = ub - nlb; } } } } if (maxI < I[i]) maxI = I[i]; } } if (F < 0) { this.setPassive(); } } @Override public ESat isEntailed() { double sumUB = 0, sumLB = 0; for (int i = 0; i < l; i++) { // first the positive coefficients if (VariableUtils.isReal(vars[i])) { if (c[i] > 0) { sumLB += vars[i].asRealVar().getLB() * c[i]; sumUB += vars[i].asRealVar().getUB() * c[i]; } else { sumLB += vars[i].asRealVar().getUB() * c[i]; sumUB += vars[i].asRealVar().getLB() * c[i]; } } else { if (c[i] > 0) { sumLB += vars[i].asIntVar().getLB() * c[i]; sumUB += vars[i].asIntVar().getUB() * c[i]; } else { sumLB += vars[i].asIntVar().getUB() * c[i]; sumUB += vars[i].asIntVar().getLB() * c[i]; } } } return check(sumLB, sumUB); } /** * Whether the current state of the scalar product is entailed * * @param sumLB sum of lower bounds * @param sumUB sum of upper bounds * @return the entailment check */ @SuppressWarnings("Duplicates") protected ESat check(double sumLB, double sumUB) { switch (o) { case LE: if (sumLB <= b) { return ESat.TRUE; } if (sumLB > b) { return ESat.FALSE; } return ESat.UNDEFINED; case GE: if (sumUB >= b) { return ESat.TRUE; } if (sumUB < b) { return ESat.FALSE; } return ESat.UNDEFINED; default: if (sumLB <= b && b <= sumUB) { return ESat.TRUE; } if (sumUB < b || sumLB > b) { return ESat.FALSE; } return ESat.UNDEFINED; } } @Override public String toString() { StringBuilder linComb = new StringBuilder(20); linComb.append(c[0]).append('.').append(vars[0].getName()); int i = 1; for (; i < l; i++) { if (c[i] > 0) { linComb.append(" + ").append(c[i]); } else { linComb.append(" - ").append(-c[i]); } linComb.append('.').append(vars[i].getName()); } linComb.append(" ").append(o).append(" "); linComb.append(b); return linComb.toString(); } private int divFloor(double a, double b) { // we assume b > 0 if (a >= 0) { return (int) (a / b); } else { return (int) ((a - b + 1) / b); } } private int divCeil(double a, double b) { // we assume b > 0 if (a >= 0) { return (int) ((a + b - 1) / b); } else { return (int) (a / b); } } }





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