Implemented A* at full state
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9e51fc8c69
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@ -17,6 +17,11 @@ public class EightPuzzleNode extends Node<int[][]>
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super(value, parent);
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}
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private EightPuzzleNode(final int[][] value, final Node<int[][]> parent, final int heuristicCosts)
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{
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super(value, parent, heuristicCosts);
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}
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@Override
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public boolean isTargetReached(final Node<int[][]> target)
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{
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@ -44,7 +49,8 @@ public class EightPuzzleNode extends Node<int[][]>
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case LEFT -> new IntPair(x-1, y);
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};
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final var successor = this.swapStateField(newState, emptyPosition, posToSwap);
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this.swapStateField(newState, emptyPosition, posToSwap);
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final var successor = new EightPuzzleNode(newState, this, super.heuristicCosts+1);
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if (!successor.valueEquals(this) && !successor.valueEquals(super.getParent()))
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{
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@ -121,35 +127,11 @@ public class EightPuzzleNode extends Node<int[][]>
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return copy;
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}
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private EightPuzzleNode swapStateField(final int[][] newState, final IntPair emptyPos, final IntPair posToSwap)
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private void swapStateField(final int[][] newState, final IntPair emptyPos, final IntPair posToSwap)
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{
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final var tmp = newState[posToSwap.getY()][posToSwap.getX()];
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newState[posToSwap.getY()][posToSwap.getX()] = newState[emptyPos.getY()][emptyPos.getX()];
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newState[emptyPos.getY()][emptyPos.getX()] = tmp;
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return new EightPuzzleNode(newState, this);
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}
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private class IntPair
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{
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private final int x;
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private final int y;
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public IntPair(final int x, final int y)
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{
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this.x = x;
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this.y = y;
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}
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public int getX()
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{
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return x;
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}
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public int getY()
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{
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return y;
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}
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}
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private enum Direction
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23
src/search/IntPair.java
Normal file
23
src/search/IntPair.java
Normal file
@ -0,0 +1,23 @@
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package search;
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public class IntPair
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{
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private final int x;
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private final int y;
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public IntPair(final int x, final int y)
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{
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this.x = x;
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this.y = y;
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}
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public int getX()
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{
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return x;
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}
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public int getY()
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{
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return y;
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}
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}
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@ -1,24 +1,30 @@
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package search;
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import search.heuristic.Heuristic;
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import java.util.List;
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import java.util.Objects;
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public abstract class Node<T>
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{
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protected final T value;
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protected int heuristicCosts;
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private final Node<T> parent;
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private int heuristicEstimation;
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protected Node(final T value)
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{
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this(value, null);
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this(value, null, 0);
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}
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protected Node(final T value, final Node<T> parent)
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{
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this(value, parent, 0);
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}
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protected Node(final T value, final Node<T> parent, final int heuristicCosts)
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{
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this.value = Objects.requireNonNull(value);
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this.parent = parent;
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this.heuristicCosts = heuristicCosts;
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}
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public T getValue()
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@ -31,6 +37,16 @@ public abstract class Node<T>
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return this.parent;
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}
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public int getHeuristic()
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{
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return heuristicCosts + heuristicEstimation;
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}
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public void setHeuristicEstimation(final int heuristicEstimation)
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{
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this.heuristicEstimation = heuristicEstimation;
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}
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public abstract boolean isTargetReached(final Node<T> target);
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public abstract List<Node<T>> generateSuccessors();
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}
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@ -7,16 +7,17 @@ import java.util.PriorityQueue;
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public class AStar<T>
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{
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private final Heuristic<T> heuristicFunction;
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private final HeuristicEstimationFunction<T> heuristicFunction;
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public AStar(final Heuristic<T> heuristicFunction)
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public AStar(final HeuristicEstimationFunction<T> heuristicFunction)
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{
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this.heuristicFunction = heuristicFunction;
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}
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public Node<T> heuristicSearch(final Node<T> start, final Node<T> target)
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{
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final var nodes = new PriorityQueue<Node<T>>(Comparator.comparingInt(node -> heuristicFunction.heuristic(node, target)));
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final var nodes = new PriorityQueue<Node<T>>(Comparator.comparingInt(Node::getHeuristic));
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start.setHeuristicEstimation(this.heuristicFunction.heuristicEstimation(start, target));
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nodes.add(start);
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while (true)
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@ -33,7 +34,14 @@ public class AStar<T>
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return node;
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}
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nodes.addAll(node.generateSuccessors());
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final var successors = node.generateSuccessors();
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for (final var successor : successors)
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{
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successor.setHeuristicEstimation(this.heuristicFunction.heuristicEstimation(successor, target));
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}
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nodes.addAll(successors);
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}
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}
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}
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@ -1,8 +0,0 @@
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package search.heuristic;
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import search.Node;
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public interface Heuristic<T>
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{
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int heuristic(Node<T> node, Node<T> target);
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}
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8
src/search/heuristic/HeuristicEstimationFunction.java
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8
src/search/heuristic/HeuristicEstimationFunction.java
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@ -0,0 +1,8 @@
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package search.heuristic;
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import search.Node;
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public interface HeuristicEstimationFunction<T>
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{
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int heuristicEstimation(Node<T> node, Node<T> target);
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}
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@ -2,20 +2,20 @@ package search.heuristic;
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import org.junit.jupiter.api.Test;
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import search.EightPuzzleNode;
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import search.IntPair;
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import search.Node;
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import static org.junit.jupiter.api.Assertions.*;
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import static search.SearchTestUtils.printSolution;
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class AStarTest
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{
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@Test
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void shouldReturnCorrectTargetCubekNodeHeuristik1()
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void shouldReturnCorrectTargetCubekNodeHeuristic1()
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{
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final int[][] state = {
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{3, 5, 0},
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{1, 2, 6},
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{4, 7, 8}
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{2, 0, 4},
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{6, 7, 1},
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{8, 5, 3}
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};
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final var root = new EightPuzzleNode(state);
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@ -63,7 +63,7 @@ class AStarTest
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{
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for (var col = 0; col < value[row].length; col++)
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{
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if (value[row][col] != targetValue[row][col])
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if (value[row][col] != 0 && value[row][col] != targetValue[row][col])
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{
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counter++;
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}
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@ -75,6 +75,40 @@ class AStarTest
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private int h2(final Node<int[][]> node, final Node<int[][]> target)
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{
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return 0;
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final var value = node.getValue();
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final var targetValue = target.getValue();
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var manhattanDistance = 0;
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for (int i = 1; i <= 8; i++)
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{
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final var targetPos = detectPositionOf(i, targetValue);
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final var actualPos = detectPositionOf(i, value);
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if (targetPos != null && actualPos != null)
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{
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final var xDistance = Math.abs(targetPos.getX() - actualPos.getX());
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final var yDistance = Math.abs(targetPos.getY() - actualPos.getY());
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manhattanDistance += xDistance + yDistance;
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}
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}
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return manhattanDistance;
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}
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private IntPair detectPositionOf(final int i, final int[][] value)
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{
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for (var row = 0; row < value.length; row++)
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{
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for (var col = 0; col < value[row].length; col++)
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{
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if (value[row][col] == i)
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{
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return new IntPair(col, row);
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}
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}
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}
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return null;
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}
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}
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