Added TurnLogic with rule variables and constraints
git-svn-id: svn://sunsvr01.isp.uni-luebeck.de/swproj13/trunk@436 72836036-5685-4462-b002-a69064685172
This commit is contained in:
Jannis Harder
parent
79767f762e
commit
7568f37824
9 changed files with 864 additions and 12 deletions
345
src/jrummikub/ai/TurnLogic.java
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345
src/jrummikub/ai/TurnLogic.java
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package jrummikub.ai;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Set;
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import jrummikub.ai.fdsolver.Constraint;
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import jrummikub.ai.fdsolver.Solver;
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import jrummikub.ai.fdsolver.Var;
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import jrummikub.ai.fdsolver.constraint.IfConstraint;
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import jrummikub.ai.fdsolver.constraint.IndexConstraint;
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import jrummikub.ai.fdsolver.constraint.LessThan;
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import jrummikub.model.GameSettings;
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import jrummikub.model.Stone;
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import jrummikub.model.StoneColor;
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import static jrummikub.ai.fdsolver.Constraints.*;
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/**
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* Provides Humanlike Advanced Logic (HAL) that models the options given to a
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* player in a turn to the Solver MCP.
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*/
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public class TurnLogic {
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private Solver solver = new Solver();
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private GameSettings settings;
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private int stoneCount;
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private int maxSetSize;
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private Var<Boolean> trueVar;
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private List<Var<Boolean>> onTable = new ArrayList<Var<Boolean>>();
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private List<Var<Integer>> stoneValue = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> leftStoneValue = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> rightStoneValue = new ArrayList<Var<Integer>>();
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private List<Var<StoneColor>> stoneColor = new ArrayList<Var<StoneColor>>();
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private List<Var<StoneColor>> leftStoneColor = new ArrayList<Var<StoneColor>>();
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private List<Var<StoneColor>> rightStoneColor = new ArrayList<Var<StoneColor>>();
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private List<Var<Integer>> lowCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> leftLowCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> rightLowCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> highCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> leftHighCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> rightHighCount = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> setSize = new ArrayList<Var<Integer>>();
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private List<Var<Boolean>> isRun = new ArrayList<Var<Boolean>>();
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private List<Var<Integer>> leftNeighbor = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> rightNeighbor = new ArrayList<Var<Integer>>();
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private List<Var<Integer>> stoneID = new ArrayList<Var<Integer>>();
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private List<Var<Boolean>> hasLeftNeighbor = new ArrayList<Var<Boolean>>();
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private List<Var<Boolean>> hasRightNeighbor = new ArrayList<Var<Boolean>>();
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private List<Boolean> isJoker = new ArrayList<Boolean>();
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public TurnLogic(GameSettings settings, Collection<Stone> tableStones,
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Collection<Stone> handStones) {
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this.settings = settings;
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stoneCount = tableStones.size() + handStones.size();
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maxSetSize = Math.max(settings.getHighestValue(), settings
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.getStoneColors().size());
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trueVar = solver.makeVar(true);
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int i = 0;
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for (Stone stone : tableStones) {
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addStone(i, true, stone);
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i++;
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}
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for (Stone stone : handStones) {
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addStone(i, false, stone);
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i++;
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}
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for (i = 0; i < stoneCount; i++) {
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addConstraints(i);
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}
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}
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private void addStone(int i, boolean table, Stone stone) {
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if (table) {
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onTable.add(trueVar);
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} else {
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onTable.add(solver.makeBoolVar());
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}
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isJoker.add(stone.isJoker());
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if (stone.isJoker()) {
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stoneValue.add(solver.makeRangeVar(1, settings.getHighestValue()));
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stoneColor.add(solver.makeVar(settings.getStoneColors()));
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} else {
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stoneValue.add(solver.makeVar(stone.getValue()));
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stoneColor.add(solver.makeVar(stone.getColor()));
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}
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leftStoneValue.add(solver.makeRangeVar(1, settings.getHighestValue()));
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rightStoneValue.add(solver.makeRangeVar(1, settings.getHighestValue()));
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leftStoneColor.add(solver.makeVar(settings.getStoneColors()));
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rightStoneColor.add(solver.makeVar(settings.getStoneColors()));
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lowCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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leftLowCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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rightLowCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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highCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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leftHighCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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rightHighCount.add(solver.makeRangeVar(0, maxSetSize - 1));
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setSize.add(solver.makeRangeVar(2, maxSetSize - 1));
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isRun.add(solver.makeBoolVar());
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leftNeighbor.add(solver.makeRangeVar(0, stoneCount - 1));
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rightNeighbor.add(solver.makeRangeVar(0, stoneCount - 1));
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stoneID.add(solver.makeVar(i));
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hasLeftNeighbor.add(solver.makeBoolVar());
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hasRightNeighbor.add(solver.makeBoolVar());
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}
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private void add(Constraint c) {
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solver.addConstraint(c);
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}
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private void addConstraints(int i) {
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// Linking of neighbors
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add(when(hasLeftNeighbor.get(i),
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index(stoneID.get(i), leftNeighbor.get(i), rightNeighbor)));
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add(unless(hasLeftNeighbor.get(i), constant(leftNeighbor.get(i), 0)));
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add(when(hasLeftNeighbor.get(i),
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index(trueVar, leftNeighbor.get(i), hasRightNeighbor)));
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add(when(hasRightNeighbor.get(i),
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index(stoneID.get(i), rightNeighbor.get(i), leftNeighbor)));
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add(unless(hasRightNeighbor.get(i), constant(rightNeighbor.get(i), 0)));
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add(when(hasRightNeighbor.get(i),
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index(trueVar, rightNeighbor.get(i), hasLeftNeighbor)));
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// hand stones have no neighbors
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add(unless(onTable.get(i), constant(hasLeftNeighbor.get(i), false)));
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add(unless(onTable.get(i), constant(hasRightNeighbor.get(i), false)));
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// low/high counts and size
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add(unless(hasLeftNeighbor.get(i), constant(lowCount.get(i), 0)));
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add(unless(hasRightNeighbor.get(i), constant(highCount.get(i), 0)));
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add(when(hasLeftNeighbor.get(i),
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index(leftLowCount.get(i), leftNeighbor.get(i), lowCount)));
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add(unless(hasLeftNeighbor.get(i), constant(leftLowCount.get(i), 0)));
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add(when(hasRightNeighbor.get(i),
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index(rightLowCount.get(i), rightNeighbor.get(i), lowCount)));
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add(unless(hasRightNeighbor.get(i), constant(rightLowCount.get(i), 0)));
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add(when(hasLeftNeighbor.get(i),
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index(leftHighCount.get(i), leftNeighbor.get(i), highCount)));
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add(unless(hasLeftNeighbor.get(i), constant(leftHighCount.get(i), 0)));
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add(when(hasRightNeighbor.get(i),
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index(rightHighCount.get(i), rightNeighbor.get(i), highCount)));
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add(unless(hasRightNeighbor.get(i), constant(rightHighCount.get(i), 0)));
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add(when(hasLeftNeighbor.get(i),
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index(setSize.get(i), leftNeighbor.get(i), setSize)));
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add(when(hasRightNeighbor.get(i),
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index(setSize.get(i), rightNeighbor.get(i), setSize)));
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add(when(hasLeftNeighbor.get(i),
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offset(1, leftLowCount.get(i), lowCount.get(i))));
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add(when(hasRightNeighbor.get(i),
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offset(1, lowCount.get(i), rightLowCount.get(i))));
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add(when(hasRightNeighbor.get(i),
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offset(1, rightHighCount.get(i), highCount.get(i))));
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add(when(hasLeftNeighbor.get(i),
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offset(1, highCount.get(i), leftHighCount.get(i))));
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add(when(onTable.get(i),
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sum(lowCount.get(i), highCount.get(i), setSize.get(i))));
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add(unless(onTable.get(i), constant(setSize.get(i), 2)));
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// set same rules
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add(when(hasLeftNeighbor.get(i),
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index(isRun.get(i), leftNeighbor.get(i), isRun)));
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add(when(hasRightNeighbor.get(i),
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index(isRun.get(i), rightNeighbor.get(i), isRun)));
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add(unless(onTable.get(i), constant(isRun.get(i), false)));
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// rule neighbors
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add(when(hasLeftNeighbor.get(i),
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index(leftStoneColor.get(i), leftNeighbor.get(i), stoneColor)));
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add(unless(hasLeftNeighbor.get(i),
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constant(leftStoneColor.get(i), StoneColor.RED)));
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add(when(hasRightNeighbor.get(i),
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index(rightStoneColor.get(i), rightNeighbor.get(i), stoneColor)));
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add(unless(hasRightNeighbor.get(i),
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constant(rightStoneColor.get(i), StoneColor.RED)));
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add(when(hasLeftNeighbor.get(i),
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index(leftStoneValue.get(i), leftNeighbor.get(i), stoneValue)));
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add(unless(hasLeftNeighbor.get(i), constant(leftStoneValue.get(i), 1)));
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add(when(hasRightNeighbor.get(i),
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index(rightStoneValue.get(i), rightNeighbor.get(i), stoneValue)));
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add(unless(hasRightNeighbor.get(i), constant(rightStoneValue.get(i), 1)));
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// general rules
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add(when(
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hasLeftNeighbor.get(i),
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when(isRun.get(i),
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lessThanEq(leftStoneValue.get(i), stoneValue.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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when(isRun.get(i),
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lessThanEq(stoneValue.get(i), rightStoneValue.get(i)))));
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add(when(
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hasLeftNeighbor.get(i),
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when(isRun.get(i),
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lessThanEq(leftStoneColor.get(i), stoneColor.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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when(isRun.get(i),
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lessThanEq(stoneColor.get(i), rightStoneColor.get(i)))));
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// run rules
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add(when(
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hasLeftNeighbor.get(i),
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when(isRun.get(i),
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offset(1, leftStoneValue.get(i), stoneValue.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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when(isRun.get(i),
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offset(1, stoneValue.get(i), rightStoneValue.get(i)))));
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add(when(
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hasLeftNeighbor.get(i),
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when(isRun.get(i),
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same(leftStoneColor.get(i), stoneColor.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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when(isRun.get(i),
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same(stoneColor.get(i), rightStoneColor.get(i)))));
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// group rules
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add(when(
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hasLeftNeighbor.get(i),
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unless(isRun.get(i),
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same(leftStoneValue.get(i), stoneValue.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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unless(isRun.get(i),
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same(stoneValue.get(i), rightStoneValue.get(i)))));
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add(when(
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hasLeftNeighbor.get(i),
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unless(isRun.get(i),
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lessThan(leftStoneColor.get(i), stoneColor.get(i)))));
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add(when(
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hasRightNeighbor.get(i),
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unless(isRun.get(i),
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lessThan(stoneColor.get(i), rightStoneColor.get(i)))));
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// joker defaulting
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if (isJoker.get(i)) {
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add(unless(onTable.get(i), constant(stoneValue.get(i), 1)));
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add(unless(onTable.get(i),
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constant(stoneColor.get(i), StoneColor.RED)));
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}
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}
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public boolean solve() {
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Set<Integer> tableIDs = new HashSet<Integer>();
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Set<Integer> leftIDs = new HashSet<Integer>();
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boolean res = solver.solve();
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if (!res)
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return false;
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System.out.println("== Hand ==");
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for (int i = 0; i < stoneCount; i++) {
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if (onTable.get(i).getValue()) {
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tableIDs.add(i);
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if (!hasLeftNeighbor.get(i).getValue()) {
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leftIDs.add(i);
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}
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} else {
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outputStone(i);
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}
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}
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System.out.println("");
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System.out.println("== Table ==");
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boolean newLine = false;
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boolean first = true;
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int nextID = -1; // leftIDs.iterator().next();
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while (!tableIDs.isEmpty()) {
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if (tableIDs.contains(nextID)) {
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tableIDs.remove(nextID);
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leftIDs.remove(nextID);
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if (newLine) {
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if (!first) {
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System.out.println("");
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}
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first = false;
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newLine = false;
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}
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outputStone(nextID);
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if (!hasRightNeighbor.get(nextID).getValue()) {
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newLine = true;
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nextID = -1;
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} else {
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nextID = rightNeighbor.get(nextID).getValue();
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}
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} else {
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if (leftIDs.isEmpty()) {
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nextID = tableIDs.iterator().next();
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} else {
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nextID = leftIDs.iterator().next();
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}
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newLine = true;
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}
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}
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System.out.println("");
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System.out.println("");
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return res;
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}
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private void outputStone(int i) {
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System.out.print("["
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+ stoneColor.get(i).getValue().toString().substring(0, 1)
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+ stoneValue.get(i).getValue() + "]");
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// + "," + leftNeighbor.get(i).getValue() +
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// hasLeftNeighbor.get(i).getValue() + lowCount.get(i).getValue() + ","
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// + rightNeighbor.get(i).getValue() +
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// hasRightNeighbor.get(i).getValue() + highCount.get(i).getValue() +
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// "]");
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}
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}
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56
src/jrummikub/ai/fdsolver/Constraints.java
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56
src/jrummikub/ai/fdsolver/Constraints.java
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@ -0,0 +1,56 @@
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package jrummikub.ai.fdsolver;
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import java.util.List;
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import jrummikub.ai.fdsolver.constraint.Filter;
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import jrummikub.ai.fdsolver.constraint.FilterConstraint;
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import jrummikub.ai.fdsolver.constraint.IfConstraint;
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import jrummikub.ai.fdsolver.constraint.IndexConstraint;
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import jrummikub.ai.fdsolver.constraint.LessThan;
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import jrummikub.ai.fdsolver.constraint.OffsetConstraint;
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import jrummikub.ai.fdsolver.constraint.SameConstraint;
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import jrummikub.ai.fdsolver.constraint.SumConstraint;
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public class Constraints {
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public static Constraint when(Var<Boolean> cond, Constraint c) {
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return new IfConstraint(false, cond, c);
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}
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public static Constraint unless(Var<Boolean> cond, Constraint c) {
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return new IfConstraint(true, cond, c);
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}
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public static <T> Constraint index(Var<T> target, Var<Integer> index, List<Var<T>> list) {
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return new IndexConstraint<T>(target, index, list);
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}
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public static <T> Constraint constant(Var<T> target, final T constant) {
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return new FilterConstraint<T>(new Filter<T>() {
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@Override
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public boolean accept(T value) {
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return value.equals(constant);
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}
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}, target);
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}
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public static Constraint offset(int offset, Var<Integer> x, Var<Integer> y) {
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return new OffsetConstraint(offset, x, y);
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}
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public static <T> Constraint same(Var<T> x, Var<T> y) {
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return new SameConstraint<T>(x, y);
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}
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public static Constraint sum(Var<Integer> x, Var<Integer> y, Var<Integer> z) {
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return new SumConstraint(x, y, z);
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}
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public static <T extends Comparable<T>> Constraint lessThan(Var<T> x, Var<T> y) {
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return new LessThan<T>(false, x, y);
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}
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public static <T extends Comparable<T>> Constraint lessThanEq(Var<T> x, Var<T> y) {
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return new LessThan<T>(true, x, y);
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}
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}
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@ -11,6 +11,10 @@ import java.util.Map;
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import java.util.Set;
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import static jrummikub.ai.fdsolver.Satisfiability.*;
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/**
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* The Solver class is the Main Constraint Propagator (MCP) that tries to find a
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* labeling of all variables that satisfies all given constraints.
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*/
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public class Solver {
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Set<Var<?>> vars = new HashSet<Var<?>>();
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@ -80,9 +84,10 @@ public class Solver {
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}
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public void propagateOnce() {
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Var<?> dirtyVar = Collections.max(dirtyVars);
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Var<?> dirtyVar = Collections.min(dirtyVars);
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dirtyVars.remove(dirtyVar);
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outerLoop: for (Iterator<Constraint> i = dirtyVar.getConstraints().iterator(); i.hasNext();) {
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outerLoop: for (Iterator<Constraint> i = dirtyVar.getConstraints()
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.iterator(); i.hasNext();) {
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Constraint constraint = i.next();
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Satisfiability sat = constraint.getSatisfiability();
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if (sat == UNSAT) {
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|
|
@ -130,7 +135,7 @@ public class Solver {
|
|||
// backtracking and logging
|
||||
|
||||
void branch() {
|
||||
branchOn(unsolvedVars.iterator().next());
|
||||
branchOn(Collections.min(unsolvedVars));
|
||||
}
|
||||
|
||||
@SuppressWarnings("unchecked")
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ public class Var<T> implements Comparable<Var<T>> {
|
|||
this.solver.dirtyVars.add(this);
|
||||
}
|
||||
|
||||
void invalidate(T value) {
|
||||
public void invalidate(T value) {
|
||||
range.remove(value);
|
||||
solver.logInvalidation(this, value);
|
||||
makeDirty();
|
||||
|
|
@ -92,19 +92,25 @@ public class Var<T> implements Comparable<Var<T>> {
|
|||
}
|
||||
|
||||
private int neighborCount() {
|
||||
int count = 0;
|
||||
/* int count = 0;
|
||||
for (Constraint constraint : constraints) {
|
||||
count += constraint.getWatchedVars().size();
|
||||
} */
|
||||
return constraints.size();
|
||||
}
|
||||
return count;
|
||||
|
||||
private double fitness() {
|
||||
return range.size();//neighborCount();
|
||||
}
|
||||
|
||||
@Override
|
||||
public int compareTo(Var<T> other) {
|
||||
return ((Double)fitness()).compareTo(other.fitness());
|
||||
/*
|
||||
int rangeCompare = ((Integer)range.size()).compareTo(other.range.size());
|
||||
if (rangeCompare != 0)
|
||||
return rangeCompare;
|
||||
return ((Integer)neighborCount()).compareTo(other.neighborCount());
|
||||
return -((Integer)neighborCount()).compareTo(other.neighborCount());*/
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
108
src/jrummikub/ai/fdsolver/constraint/IfConstraint.java
Normal file
108
src/jrummikub/ai/fdsolver/constraint/IfConstraint.java
Normal file
|
|
@ -0,0 +1,108 @@
|
|||
package jrummikub.ai.fdsolver.constraint;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.locks.Condition;
|
||||
|
||||
|
||||
import jrummikub.ai.fdsolver.Constraint;
|
||||
import jrummikub.ai.fdsolver.Propagator;
|
||||
import jrummikub.ai.fdsolver.Satisfiability;
|
||||
import jrummikub.ai.fdsolver.Var;
|
||||
|
||||
public class IfConstraint implements Constraint {
|
||||
Var<Boolean> condition;
|
||||
Constraint child;
|
||||
Collection<Var<?>> vars;
|
||||
boolean negateCond;
|
||||
|
||||
public IfConstraint(boolean negateCond, Var<Boolean> condition, Constraint child) {
|
||||
this.condition = condition;
|
||||
this.child = child;
|
||||
this.negateCond = negateCond;
|
||||
vars = new ArrayList<Var<?>>();
|
||||
vars.addAll(child.getWatchedVars());
|
||||
vars.add(condition);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return vars;
|
||||
}
|
||||
|
||||
private class IfPropagator implements Propagator {
|
||||
Propagator child;
|
||||
Collection<Var<?>> vars;
|
||||
public IfPropagator(Propagator child) {
|
||||
this.child = child;
|
||||
vars = new ArrayList<Var<?>>();
|
||||
vars.addAll(child.getWatchedVars());
|
||||
vars.add(condition);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return vars;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
if(condition.getRange().contains(negateCond)) {
|
||||
return;
|
||||
}
|
||||
child.propagate();
|
||||
}
|
||||
}
|
||||
|
||||
private class FailPropagator implements Propagator {
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return child.getWatchedVars();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
if (child.getSatisfiability() == Satisfiability.UNSAT) {
|
||||
condition.invalidate(!negateCond);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Propagator> getPropagators(boolean negate) {
|
||||
List<Propagator> props = new ArrayList<Propagator>();
|
||||
if (negate) {
|
||||
props.add(new FilterPropagator<Boolean>(new Filter<Boolean>() {
|
||||
@Override
|
||||
public boolean accept(Boolean value) {
|
||||
return value ^ negateCond;
|
||||
}
|
||||
}, condition));
|
||||
props.addAll(child.getPropagators(true));
|
||||
} else {
|
||||
for (Propagator p : child.getPropagators(false)) {
|
||||
props.add(new IfPropagator(p));
|
||||
}
|
||||
props.add(new FailPropagator());
|
||||
}
|
||||
return props;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Satisfiability getSatisfiability() {
|
||||
if (condition.getRange().contains(negateCond)) {
|
||||
if (condition.getRange().size() == 1) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
if (child.getSatisfiability() == Satisfiability.TAUT) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
return Satisfiability.SAT;
|
||||
}
|
||||
}
|
||||
}
|
||||
return child.getSatisfiability();
|
||||
}
|
||||
|
||||
}
|
||||
134
src/jrummikub/ai/fdsolver/constraint/IndexConstraint.java
Normal file
134
src/jrummikub/ai/fdsolver/constraint/IndexConstraint.java
Normal file
|
|
@ -0,0 +1,134 @@
|
|||
package jrummikub.ai.fdsolver.constraint;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
import java.util.Collections;
|
||||
import java.util.HashSet;
|
||||
import java.util.Iterator;
|
||||
import java.util.List;
|
||||
|
||||
import jrummikub.ai.fdsolver.Constraint;
|
||||
import jrummikub.ai.fdsolver.Propagator;
|
||||
import jrummikub.ai.fdsolver.Satisfiability;
|
||||
import jrummikub.ai.fdsolver.Var;
|
||||
|
||||
public class IndexConstraint<T> implements Constraint {
|
||||
Var<T> target;
|
||||
Var<Integer> index;
|
||||
List<Var<T>> list;
|
||||
Collection<Var<?>> vars = new ArrayList<Var<?>>();
|
||||
Collection<Var<?>> varsNoTarget = new ArrayList<Var<?>>();
|
||||
Collection<Var<?>> varsNoIndex = new ArrayList<Var<?>>();
|
||||
|
||||
public IndexConstraint(Var<T> target, Var<Integer> index, List<Var<T>> list) {
|
||||
this.target = target;
|
||||
this.index = index;
|
||||
this.list = list;
|
||||
vars.addAll(list);
|
||||
vars.add(index);
|
||||
vars.add(target);
|
||||
varsNoTarget.addAll(list);
|
||||
varsNoTarget.add(index);
|
||||
varsNoIndex.addAll(list);
|
||||
varsNoIndex.add(target);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return vars;
|
||||
}
|
||||
|
||||
private class UnionProp implements Propagator {
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return varsNoTarget;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
HashSet<T> union = new HashSet<T>();
|
||||
for (int i : index.getRange()) {
|
||||
union.addAll(list.get(i).getRange());
|
||||
}
|
||||
for (Iterator<T> i = target.iterator(); i.hasNext();) {
|
||||
T val = i.next();
|
||||
if (!union.contains(val)) {
|
||||
i.remove();
|
||||
}
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
private class IndexProp implements Propagator {
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return varsNoIndex;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
for (Iterator<Integer> i = index.iterator(); i.hasNext();) {
|
||||
int id = i.next();
|
||||
HashSet<T> range = new HashSet<T>(target.getRange());
|
||||
range.retainAll(list.get(id).getRange());
|
||||
if (range.isEmpty()) {
|
||||
i.remove();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private class VarProp implements Propagator {
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.asList(target, index);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
if (index.getRange().size() != 1)
|
||||
return;
|
||||
int id = index.getValue();
|
||||
Var<T> var = list.get(id);
|
||||
for(Iterator<T> i = var.iterator(); i.hasNext();) {
|
||||
if (!target.getRange().contains(i.next())) {
|
||||
i.remove();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Propagator> getPropagators(boolean negate) {
|
||||
if (negate) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
return Arrays.<Propagator> asList(new UnionProp(), new IndexProp(), new VarProp());
|
||||
}
|
||||
|
||||
@Override
|
||||
public Satisfiability getSatisfiability() {
|
||||
HashSet<T> union = new HashSet<T>();
|
||||
for (int i : index.getRange()) {
|
||||
union.addAll(list.get(i).getRange());
|
||||
}
|
||||
boolean isSat = false;
|
||||
for (T val : target.getRange()) {
|
||||
if (union.contains(val)) {
|
||||
isSat = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (!isSat) {
|
||||
return Satisfiability.UNSAT;
|
||||
} else {
|
||||
if (union.size() == 1 && target.getRange().size() == 1) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
return Satisfiability.SAT;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
77
src/jrummikub/ai/fdsolver/constraint/OffsetConstraint.java
Normal file
77
src/jrummikub/ai/fdsolver/constraint/OffsetConstraint.java
Normal file
|
|
@ -0,0 +1,77 @@
|
|||
package jrummikub.ai.fdsolver.constraint;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
import java.util.HashSet;
|
||||
import java.util.Iterator;
|
||||
|
||||
import jrummikub.ai.fdsolver.Constraint;
|
||||
import jrummikub.ai.fdsolver.Propagator;
|
||||
import jrummikub.ai.fdsolver.Satisfiability;
|
||||
import jrummikub.ai.fdsolver.Var;
|
||||
|
||||
public class OffsetConstraint implements Constraint {
|
||||
private Var<Integer> x, y;
|
||||
int offset;
|
||||
Propagator propX, propY;
|
||||
|
||||
public OffsetConstraint(int offset, Var<Integer> x, Var<Integer> y) {
|
||||
this.offset = offset;
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
propX = new OffsetProp(offset, x, y);
|
||||
propY = new OffsetProp(-offset, y, x);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.<Var<?>> asList(x, y);
|
||||
}
|
||||
|
||||
private class OffsetProp implements Propagator {
|
||||
private Var<Integer> x, y;
|
||||
private int offset;
|
||||
public OffsetProp(int offset, Var<Integer> x, Var<Integer> y) {
|
||||
this.offset = offset;
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.<Var<?>>asList(y);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
for(Iterator<Integer> i = x.iterator(); i.hasNext();) {
|
||||
if(!y.getRange().contains(i.next() + offset)) {
|
||||
i.remove();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public Collection<Propagator> getPropagators(boolean negate) {
|
||||
return Arrays.asList(propX, propY);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Satisfiability getSatisfiability() {
|
||||
HashSet<Integer> shiftedRange = new HashSet<Integer>();
|
||||
for (int val : x.getRange()) {
|
||||
shiftedRange.add(val + offset);
|
||||
}
|
||||
shiftedRange.retainAll(y.getRange());
|
||||
if (shiftedRange.isEmpty()) {
|
||||
return Satisfiability.UNSAT;
|
||||
} else if (x.getRange().size() == 1 && y.getRange().size() == 1) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
return Satisfiability.SAT;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
70
src/jrummikub/ai/fdsolver/constraint/SameConstraint.java
Normal file
70
src/jrummikub/ai/fdsolver/constraint/SameConstraint.java
Normal file
|
|
@ -0,0 +1,70 @@
|
|||
package jrummikub.ai.fdsolver.constraint;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
import java.util.HashSet;
|
||||
import java.util.Iterator;
|
||||
|
||||
import jrummikub.ai.fdsolver.Constraint;
|
||||
import jrummikub.ai.fdsolver.Propagator;
|
||||
import jrummikub.ai.fdsolver.Satisfiability;
|
||||
import jrummikub.ai.fdsolver.Var;
|
||||
|
||||
public class SameConstraint<T> implements Constraint {
|
||||
private Var<T> x, y;
|
||||
Propagator propX, propY;
|
||||
|
||||
public SameConstraint(Var<T> x, Var<T> y) {
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
propX = new SameProp<T>(x, y);
|
||||
propY = new SameProp<T>(y, x);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.<Var<?>> asList(x, y);
|
||||
}
|
||||
|
||||
private class SameProp<T> implements Propagator {
|
||||
private Var<T> x, y;
|
||||
public SameProp(Var<T> x, Var<T> y) {
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.<Var<?>>asList(y);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void propagate() {
|
||||
for(Iterator<T> i = x.iterator(); i.hasNext();) {
|
||||
if(!y.getRange().contains(i.next())) {
|
||||
i.remove();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public Collection<Propagator> getPropagators(boolean negate) {
|
||||
return Arrays.asList(propX, propY);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Satisfiability getSatisfiability() {
|
||||
HashSet<T> range = new HashSet<T>(x.getRange());
|
||||
range.retainAll(y.getRange());
|
||||
if (range.isEmpty()) {
|
||||
return Satisfiability.UNSAT;
|
||||
} else if (x.getRange().size() == 1 && y.getRange().size() == 1) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
return Satisfiability.SAT;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
51
src/jrummikub/ai/fdsolver/constraint/SumConstraint.java
Normal file
51
src/jrummikub/ai/fdsolver/constraint/SumConstraint.java
Normal file
|
|
@ -0,0 +1,51 @@
|
|||
package jrummikub.ai.fdsolver.constraint;
|
||||
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
import java.util.Collections;
|
||||
import java.util.HashSet;
|
||||
|
||||
import jrummikub.ai.fdsolver.Constraint;
|
||||
import jrummikub.ai.fdsolver.Propagator;
|
||||
import jrummikub.ai.fdsolver.Satisfiability;
|
||||
import jrummikub.ai.fdsolver.Var;
|
||||
|
||||
public class SumConstraint implements Constraint {
|
||||
Var<Integer> x, y, z;
|
||||
|
||||
public SumConstraint(Var<Integer> x, Var<Integer> y, Var<Integer> z) {
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
this.z = z;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Var<?>> getWatchedVars() {
|
||||
return Arrays.<Var<?>> asList(x, y, z);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<Propagator> getPropagators(boolean negate) {
|
||||
// TODO Auto-generated method stub
|
||||
return Collections.emptyList();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Satisfiability getSatisfiability() {
|
||||
// HashSet<Integer> intersection = new HashSet<Integer>();
|
||||
for (int xv : x.getRange()) {
|
||||
for (int yv : y.getRange()) {
|
||||
if (z.getRange().contains(xv + yv)) {
|
||||
if (z.getRange().size() == 1 && x.getRange().size() == 1
|
||||
&& y.getRange().size() == 1) {
|
||||
return Satisfiability.TAUT;
|
||||
} else {
|
||||
return Satisfiability.SAT;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
return Satisfiability.UNSAT;
|
||||
}
|
||||
}
|
||||
Reference in a new issue