org.chocosolver.solver.constraints.nary.sum.PropSumWithLong Maven / Gradle / Ivy
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/*
* This file is part of choco-solver, http://choco-solver.org/
*
* Copyright (c) 2024, 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.sum;
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.IntVar;
import org.chocosolver.solver.variables.events.IntEventType;
import org.chocosolver.util.ESat;
/**
* A propagator for SUM(x_i) o 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 PropSumWithLong extends Propagator {
/**
* The position of the last positive coefficient
*/
protected final int pos;
/**
* Number of variables
*/
protected final int l;
/**
* Bound to respect
*/
protected final long b;
/**
* Variability of each variable (ie domain amplitude)
*/
protected final long[] I;
/**
* Stores the maximal variability
*/
protected long maxI;
/**
* SUm of lower bounds
*/
protected long sumLB;
/**
* Sum of upper bounds
*/
protected long sumUB;
/**
* The operator among EQ, LE, GE and NE
*/
protected final Operator o;
/**
* Creates a sum propagator: SUM(x_i) o b
* Coefficients are induced by pos:
* those before pos (included) are equal to 1,
* the other ones are equal to -1.
*
* @param variables list of integer variables
* @param pos position of the last positive coefficient
* @param o operator amng EQ, LE, GE and NE
* @param b bound to respect
*/
public PropSumWithLong(IntVar[] variables, int pos, Operator o, long b) {
this(variables, pos, o, b, computePriority(variables.length), false);
}
PropSumWithLong(IntVar[] variables, int pos, Operator o, long b, PropagatorPriority priority, boolean reactOnFineEvent) {
super(variables, priority, reactOnFineEvent);
this.pos = pos;
this.o = o;
this.b = b;
l = variables.length;
I = new long[l];
maxI = 0;
}
/**
* Compute the priority of the propagator wrt the number of involved variables
*
* @param nbvars number of variables
* @return the priority
*/
protected static PropagatorPriority computePriority(int nbvars) {
if (nbvars == 1) {
return PropagatorPriority.UNARY;
} else if (nbvars == 2) {
return PropagatorPriority.BINARY;
} else if (nbvars == 3) {
return PropagatorPriority.TERNARY;
} else {
return PropagatorPriority.LINEAR;
}
}
@Override
public int getPropagationConditions(int vIdx) {
switch (o) {
case NQ:
return IntEventType.instantiation();
case LE:
if (vIdx < pos) {
return IntEventType.lowerBoundAndInst();
} else {
return IntEventType.upperBoundAndInst();
}
case GE:
if (vIdx < pos) {
return IntEventType.upperBoundAndInst();
} else {
return IntEventType.lowerBoundAndInst();
}
default:
return IntEventType.boundAndInst();
}
}
/**
* Prepare the propagation: compute sumLB, sumUB and I
*/
protected void prepare() {
sumLB = sumUB = 0;
int i = 0;
int lb, ub;
maxI = 0;
for (; i < pos; i++) { // first the positive coefficients
lb = vars[i].getLB();
ub = vars[i].getUB();
sumLB += lb;
sumUB += ub;
I[i] = (ub - lb);
if (maxI < I[i]) maxI = I[i];
}
for (; i < l; i++) { // then the negative ones
lb = -vars[i].getUB();
ub = -vars[i].getLB();
sumLB += lb;
sumUB += ub;
I[i] = (ub - lb);
if (maxI < I[i]) maxI = I[i];
}
}
@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;
case NQ:
filterOnNeq();
break;
default:
filterOnEq();
break;
}
}
/**
* Apply filtering when operator is EQ
*
* @throws ContradictionException if contradiction is detected
*/
protected void filterOnEq() throws ContradictionException {
boolean anychange;
long F = b - sumLB;
long E = sumUB - b;
do {
anychange = false;
// When explanations are on, no global failure allowed
if (model.getSolver().isLearnOff() && (F < 0 || E < 0)) {
fails();
}
if (maxI > F || maxI > E) {
long lb, ub;
int i = 0;
maxI = 0;
// positive coefficients first
while (i < pos) {
if (I[i] - F > 0) {
lb = vars[i].getLB();
ub = lb + I[i];
if (vars[i].updateUpperBound(F + lb, this)) {
int nub = vars[i].getUB();
E += nub - ub;
I[i] = nub - lb;
anychange = true;
}
}
if (I[i] - E > 0) {
ub = vars[i].getUB();
lb = ub - I[i];
if (vars[i].updateLowerBound(ub - E, this)) {
int nlb = vars[i].getLB();
F -= nlb - lb;
I[i] = ub - nlb;
anychange = true;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
// then negative ones
while (i < l) {
if (I[i] - F > 0) {
lb = -vars[i].getUB();
ub = lb + I[i];
if (vars[i].updateLowerBound(-F - lb, this)) {
int nub = -vars[i].getLB();
E += nub - ub;
I[i] = nub - lb;
anychange = true;
}
}
if (I[i] - E > 0) {
ub = -vars[i].getLB();
lb = ub - I[i];
if (vars[i].updateUpperBound(-ub + E, this)) {
int nlb = -vars[i].getUB();
F -= nlb - lb;
I[i] = ub - nlb;
anychange = true;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
}
// useless since true when all variables are instantiated
if (F <= 0 && E <= 0) {
this.setPassive();
return;
}
} while (anychange);
}
/**
* Apply filtering when operator is LE
*
* @throws ContradictionException if contradiction is detected
*/
protected void filterOnLeq() throws ContradictionException {
long F = b - sumLB;
long E = sumUB - b;
// When explanations are on, no global failure allowed
if (model.getSolver().isLearnOff() && F < 0) {
fails();
}
if (maxI > F) {
maxI = 0;
long lb, ub;
int i = 0;
// positive coefficients first
while (i < pos) {
if (I[i] - F > 0) {
lb = vars[i].getLB();
ub = lb + I[i];
if (vars[i].updateUpperBound(F + lb, this)) {
int nub = vars[i].getUB();
E += nub - ub;
I[i] = nub - lb;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
// then negative ones
while (i < l) {
if (I[i] - F > 0) {
lb = -vars[i].getUB();
ub = lb + I[i];
if (vars[i].updateLowerBound(-F - lb, this)) {
int nub = -vars[i].getLB();
E += nub - ub;
I[i] = nub - lb;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
}
if (E <= 0) {
this.setPassive();
}
}
/**
* Apply filtering when operator is GE
*
* @throws ContradictionException if contradiction is detected
*/
protected void filterOnGeq() throws ContradictionException {
long F = b - sumLB;
long E = sumUB - b;
// When explanations are on, no global failure allowed
if (model.getSolver().isLearnOff() && E < 0) {
fails();
}
if (maxI > E) {
maxI = 0;
long lb, ub;
int i = 0;
// positive coefficients first
while (i < pos) {
if (I[i] - E > 0) {
ub = vars[i].getUB();
lb = ub - I[i];
if (vars[i].updateLowerBound(ub - E, this)) {
int nlb = vars[i].getLB();
F -= nlb - lb;
I[i] = ub - nlb;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
// then negative ones
while (i < l) {
if (I[i] - E > 0) {
ub = -vars[i].getLB();
lb = ub - I[i];
if (vars[i].updateUpperBound(-ub + E, this)) {
int nlb = -vars[i].getUB();
F -= nlb - lb;
I[i] = ub - nlb;
}
}
if (maxI < I[i]) maxI = I[i];
i++;
}
}
if (F <= 0) {
this.setPassive();
}
}
/**
* Apply filtering when operator is NE
*
* @throws ContradictionException if contradiction is detected
*/
protected void filterOnNeq() throws ContradictionException {
long F = b - sumLB;
long E = sumUB - b;
if (F < 0 || E < 0) {
setPassive();
return;
}
int w = -1;
int sum = 0;
for (int i = 0; i < l; i++) {
if (vars[i].isInstantiated()) {
sum += i < pos ? vars[i].getValue() : -vars[i].getValue();
} else if (w == -1) {
w = i;
} else return;
}
if (w == -1) {
if (sum == b) {
this.fails();
}
} else {
vars[w].removeValue(w < pos ? b - sum : sum - b, this);
}
}
@Override
public ESat isEntailed() {
long sumUB = 0, sumLB = 0;
int i = 0;
for (; i < pos; i++) { // first the positive coefficients
sumLB += vars[i].getLB();
sumUB += vars[i].getUB();
}
for (; i < l; i++) { // then the negative ones
sumLB -= vars[i].getUB();
sumUB -= vars[i].getLB();
}
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
*/
public ESat check(long sumLB, long sumUB) {
switch (o) {
case NQ:
if (sumUB < b || sumLB > b) {
return ESat.TRUE;
}
if (sumUB == b && sumLB == b) {
return ESat.FALSE;
}
return ESat.UNDEFINED;
case LE:
if (sumUB <= b) {
return ESat.TRUE;
}
if (sumLB > b) {
return ESat.FALSE;
}
return ESat.UNDEFINED;
case GE:
if (sumLB >= b) {
return ESat.TRUE;
}
if (sumUB < b) {
return ESat.FALSE;
}
return ESat.UNDEFINED;
default:
if (sumLB == b && sumUB == b) {
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(pos == 0 ? "-" : "").append(vars[0].getName());
int i = 1;
for (; i < pos; i++) {
linComb.append(" + ").append(vars[i].getName());
}
for (; i < l; i++) {
linComb.append(" - ").append(vars[i].getName());
}
linComb.append(" ").append(o).append(" ");
linComb.append(b);
return linComb.toString();
}
public static long nb(Operator co) {
switch (co) {
case LE:
return 1;
case GE:
return -1;
default:
return 0;
}
}
public static Operator nop(Operator co) {
switch (co) {
case LE:
return Operator.GE;
case GE:
return Operator.LE;
default:
return Operator.getOpposite(co);
}
}
protected PropSumWithLong opposite() {
return new PropSumWithLong(vars, pos, nop(o), b + nb(o));
}
}