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OptaPlanner solves planning problems.
This lightweight, embeddable planning engine implements powerful and scalable algorithms
to optimize business resource scheduling and planning.
This module contains implementation of Constraint streams (Bavet).
package org.optaplanner.constraint.streams.bavet.quad;
import java.util.Map;
import java.util.function.Function;
import org.optaplanner.constraint.streams.bavet.common.AbstractJoinNode;
import org.optaplanner.constraint.streams.bavet.common.TupleLifecycle;
import org.optaplanner.constraint.streams.bavet.common.index.IndexProperties;
import org.optaplanner.constraint.streams.bavet.common.index.Indexer;
import org.optaplanner.constraint.streams.bavet.tri.TriTuple;
import org.optaplanner.constraint.streams.bavet.uni.UniTuple;
import org.optaplanner.core.api.function.TriFunction;
final class JoinQuadNode
extends AbstractJoinNode, D, QuadTuple, QuadTupleImpl> {
private final TriFunction mappingABC;
private final int outputStoreSize;
public JoinQuadNode(TriFunction mappingABC, Function mappingD,
int inputStoreIndexAB, int inputStoreIndexC,
TupleLifecycle> nextNodesTupleLifecycle,
int outputStoreSize,
Indexer, Map, QuadTupleImpl>> indexerABC,
Indexer, Map, QuadTupleImpl>> indexerD) {
super(mappingD, inputStoreIndexAB, inputStoreIndexC, nextNodesTupleLifecycle, indexerABC, indexerD);
this.mappingABC = mappingABC;
this.outputStoreSize = outputStoreSize;
}
@Override
protected IndexProperties createIndexPropertiesLeft(TriTuple leftTuple) {
return mappingABC.apply(leftTuple.getFactA(), leftTuple.getFactB(), leftTuple.getFactC());
}
@Override
protected void updateOutTupleLeft(QuadTupleImpl outTuple, TriTuple leftTuple) {
outTuple.factA = leftTuple.getFactA();
outTuple.factB = leftTuple.getFactB();
outTuple.factC = leftTuple.getFactC();
}
@Override
protected void updateOutTupleRight(QuadTupleImpl outTuple, UniTuple rightTuple) {
outTuple.factD = rightTuple.getFactA();
}
@Override
protected QuadTupleImpl createOutTuple(TriTuple leftTuple, UniTuple rightTuple) {
return new QuadTupleImpl<>(leftTuple.getFactA(), leftTuple.getFactB(), leftTuple.getFactC(), rightTuple.getFactA(),
outputStoreSize);
}
@Override
public String toString() {
return "JoinQuadNode";
}
}
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