2018-08-03 13:55:17 +00:00
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package baritone.bot.pathing.calc;
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2018-08-03 15:45:11 +00:00
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//import baritone.Baritone;
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2018-08-05 03:25:05 +00:00
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import baritone.bot.pathing.calc.openset.BinaryHeapOpenSet;
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import baritone.bot.pathing.calc.openset.IOpenSet;
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2018-08-03 13:55:17 +00:00
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import baritone.bot.pathing.goals.Goal;
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import baritone.bot.pathing.movement.ActionCosts;
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import baritone.bot.pathing.movement.Movement;
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2018-08-05 03:25:05 +00:00
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import baritone.bot.pathing.path.IPath;
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2018-08-03 13:55:17 +00:00
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import baritone.bot.utils.ToolSet;
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import net.minecraft.client.Minecraft;
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import net.minecraft.util.math.BlockPos;
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import net.minecraft.world.chunk.EmptyChunk;
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import java.util.Random;
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/**
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* The actual A* pathfinding
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*
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* @author leijurv
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*/
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public class AStarPathFinder extends AbstractNodeCostSearch {
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public AStarPathFinder(BlockPos start, Goal goal) {
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super(start, goal);
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}
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@Override
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protected IPath calculate0() {
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startNode = getNodeAtPosition(start);
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startNode.cost = 0;
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2018-08-03 15:45:11 +00:00
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startNode.combinedCost = startNode.estimatedCostToGoal;
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IOpenSet openSet = new BinaryHeapOpenSet();
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2018-08-03 13:55:17 +00:00
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startNode.isOpen = true;
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openSet.insert(startNode);
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bestSoFar = new PathNode[COEFFICIENTS.length];//keep track of the best node by the metric of (estimatedCostToGoal + cost / COEFFICIENTS[i])
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double[] bestHeuristicSoFar = new double[COEFFICIENTS.length];
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for (int i = 0; i < bestHeuristicSoFar.length; i++) {
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bestHeuristicSoFar[i] = Double.MAX_VALUE;
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}
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currentlyRunning = this;
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long startTime = System.currentTimeMillis();
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2018-08-03 15:45:11 +00:00
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long timeoutTime = startTime + /*(Baritone.slowPath ? 40000 : */4000/*)*/;
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2018-08-03 13:55:17 +00:00
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long lastPrintout = 0;
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int numNodes = 0;
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ToolSet ts = new ToolSet();
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int numEmptyChunk = 0;
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while (!openSet.isEmpty() && numEmptyChunk < 50 && System.currentTimeMillis() < timeoutTime) {
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2018-08-03 15:45:11 +00:00
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/*if (Baritone.slowPath) {
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2018-08-03 13:55:17 +00:00
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try {
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Thread.sleep(100);
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} catch (InterruptedException ex) {
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Logger.getLogger(AStarPathFinder.class.getName()).log(Level.SEVERE, null, ex);
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}
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2018-08-03 15:45:11 +00:00
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}*/
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2018-08-03 13:55:17 +00:00
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PathNode currentNode = openSet.removeLowest();
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mostRecentConsidered = currentNode;
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currentNode.isOpen = false;
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BlockPos currentNodePos = currentNode.pos;
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numNodes++;
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if (System.currentTimeMillis() > lastPrintout + 1000) {//print once a second
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System.out.println("searching... at " + currentNodePos + ", considered " + numNodes + " nodes so far");
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lastPrintout = System.currentTimeMillis();
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}
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if (goal.isInGoal(currentNodePos)) {
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currentlyRunning = null;
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return new Path(startNode, currentNode, goal);
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}
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//long constructStart = System.nanoTime();
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Movement[] possibleMovements = getConnectedPositions(currentNodePos);//movement that we could take that start at myPos, in random order
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shuffle(possibleMovements);
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//long constructEnd = System.nanoTime();
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//System.out.println(constructEnd - constructStart);
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for (Movement movementToGetToNeighbor : possibleMovements) {
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2018-08-04 02:14:50 +00:00
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if (Minecraft.getMinecraft().world.getChunk(movementToGetToNeighbor.getDest()) instanceof EmptyChunk) {
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numEmptyChunk++;
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continue;
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}
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2018-08-03 13:55:17 +00:00
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//long costStart = System.nanoTime();
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// TODO cache cost
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double actionCost = movementToGetToNeighbor.calculateCost(ts);
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//long costEnd = System.nanoTime();
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//System.out.println(movementToGetToNeighbor.getClass() + "" + (costEnd - costStart));
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if (actionCost >= ActionCosts.COST_INF) {
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continue;
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}
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PathNode neighbor = getNodeAtPosition(movementToGetToNeighbor.getDest());
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double tentativeCost = currentNode.cost + actionCost;
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if (tentativeCost < neighbor.cost) {
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neighbor.previous = currentNode;
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neighbor.previousMovement = movementToGetToNeighbor;
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neighbor.cost = tentativeCost;
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2018-08-03 15:45:11 +00:00
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neighbor.combinedCost = tentativeCost + neighbor.estimatedCostToGoal;
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2018-08-03 13:55:17 +00:00
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if (!neighbor.isOpen) {
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openSet.insert(neighbor);//dont double count, dont insert into open set if it's already there
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neighbor.isOpen = true;
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}
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for (int i = 0; i < bestSoFar.length; i++) {
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double heuristic = neighbor.estimatedCostToGoal + neighbor.cost / COEFFICIENTS[i];
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if (heuristic < bestHeuristicSoFar[i]) {
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bestHeuristicSoFar[i] = heuristic;
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bestSoFar[i] = neighbor;
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}
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}
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}
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}
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}
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double bestDist = 0;
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for (int i = 0; i < bestSoFar.length; i++) {
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if (bestSoFar[i] == null) {
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continue;
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}
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double dist = getDistFromStartSq(bestSoFar[i]);
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if (dist > bestDist) {
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bestDist = dist;
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}
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if (dist > MIN_DIST_PATH * MIN_DIST_PATH) { // square the comparison since distFromStartSq is squared
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System.out.println("A* cost coefficient " + COEFFICIENTS[i]);
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if (COEFFICIENTS[i] >= 3) {
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System.out.println("Warning: cost coefficient is greater than three! Probably means that");
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System.out.println("the path I found is pretty terrible (like sneak-bridging for dozens of blocks)");
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System.out.println("But I'm going to do it anyway, because yolo");
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}
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System.out.println("Path goes for " + dist + " blocks");
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currentlyRunning = null;
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return new Path(startNode, bestSoFar[i], goal);
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}
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}
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System.out.println("Even with a cost coefficient of " + COEFFICIENTS[COEFFICIENTS.length - 1] + ", I couldn't get more than " + bestDist + " blocks =(");
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System.out.println("No path found =(");
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currentlyRunning = null;
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return null;
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}
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private static Movement[] getConnectedPositions(BlockPos pos) {
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int x = pos.getX();
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int y = pos.getY();
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int z = pos.getZ();
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/*Action[] actions = new Action[26];
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actions[0] = new ActionPillar(pos);
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actions[1] = new ActionBridge(pos, new BlockPos(x + 1, y, z));
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actions[2] = new ActionBridge(pos, new BlockPos(x - 1, y, z));
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actions[3] = new ActionBridge(pos, new BlockPos(x, y, z + 1));
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actions[4] = new ActionBridge(pos, new BlockPos(x, y, z - 1));
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actions[5] = new ActionClimb(pos, new BlockPos(x + 1, y + 1, z));
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actions[6] = new ActionClimb(pos, new BlockPos(x - 1, y + 1, z));
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actions[7] = new ActionClimb(pos, new BlockPos(x, y + 1, z + 1));
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actions[8] = new ActionClimb(pos, new BlockPos(x, y + 1, z - 1));
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actions[9] = new ActionDescend(pos, new BlockPos(x, y - 1, z - 1));
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actions[10] = new ActionDescend(pos, new BlockPos(x, y - 1, z + 1));
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actions[11] = new ActionDescend(pos, new BlockPos(x - 1, y - 1, z));
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actions[12] = new ActionDescend(pos, new BlockPos(x + 1, y - 1, z));
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actions[13] = new ActionFall(pos);
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actions[14] = new ActionDescendTwo(pos, new BlockPos(x, y - 2, z - 1));
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actions[15] = new ActionDescendTwo(pos, new BlockPos(x, y - 2, z + 1));
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actions[16] = new ActionDescendTwo(pos, new BlockPos(x - 1, y - 2, z));
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actions[17] = new ActionDescendTwo(pos, new BlockPos(x + 1, y - 2, z));
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actions[18] = new ActionDescendThree(pos, new BlockPos(x, y - 3, z - 1));
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actions[19] = new ActionDescendThree(pos, new BlockPos(x, y - 3, z + 1));
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actions[20] = new ActionDescendThree(pos, new BlockPos(x - 1, y - 3, z));
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actions[21] = new ActionDescendThree(pos, new BlockPos(x + 1, y - 3, z));
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actions[22] = new ActionWalkDiagonal(pos, EnumFacing.NORTH, EnumFacing.WEST);
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actions[23] = new ActionWalkDiagonal(pos, EnumFacing.NORTH, EnumFacing.EAST);
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actions[24] = new ActionWalkDiagonal(pos, EnumFacing.SOUTH, EnumFacing.WEST);
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actions[25] = new ActionWalkDiagonal(pos, EnumFacing.SOUTH, EnumFacing.EAST);
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return actions;*/
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return null;
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}
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private final Random random = new Random();
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private <T> void shuffle(T[] list) {
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int len = list.length;
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for (int i = 0; i < len; i++) {
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int j = random.nextInt(len);
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T t = list[j];
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list[j] = list[i];
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list[i] = t;
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}
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}
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}
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