/* * This file is part of Baritone. * * Baritone is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * Baritone is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with Baritone. If not, see . */ package baritone.pathing.calc; import baritone.Baritone; import baritone.api.pathing.calc.IPath; import baritone.api.pathing.goals.Goal; import baritone.api.pathing.movement.ActionCosts; import baritone.api.utils.BetterBlockPos; import baritone.pathing.calc.openset.BinaryHeapOpenSet; import baritone.pathing.movement.CalculationContext; import baritone.pathing.movement.Moves; import baritone.utils.BlockStateInterface; import baritone.utils.Helper; import baritone.utils.pathing.BetterWorldBorder; import baritone.utils.pathing.MutableMoveResult; import java.util.HashSet; import java.util.Optional; /** * The actual A* pathfinding * * @author leijurv */ public final class AStarPathFinder extends AbstractNodeCostSearch implements Helper { private final Optional> favoredPositions; public AStarPathFinder(int startX, int startY, int startZ, Goal goal, Optional> favoredPositions) { super(startX, startY, startZ, goal); this.favoredPositions = favoredPositions; } @Override protected Optional calculate0(long timeout) { startNode = getNodeAtPosition(startX, startY, startZ, BetterBlockPos.longHash(startX, startY, startZ)); startNode.cost = 0; startNode.combinedCost = startNode.estimatedCostToGoal; BinaryHeapOpenSet openSet = new BinaryHeapOpenSet(); openSet.insert(startNode); startNode.isOpen = true; bestSoFar = new PathNode[COEFFICIENTS.length];//keep track of the best node by the metric of (estimatedCostToGoal + cost / COEFFICIENTS[i]) double[] bestHeuristicSoFar = new double[COEFFICIENTS.length]; for (int i = 0; i < bestHeuristicSoFar.length; i++) { bestHeuristicSoFar[i] = startNode.estimatedCostToGoal; bestSoFar[i] = startNode; } CalculationContext calcContext = new CalculationContext(); MutableMoveResult res = new MutableMoveResult(); HashSet favored = favoredPositions.orElse(null); BetterWorldBorder worldBorder = new BetterWorldBorder(world().getWorldBorder()); BlockStateInterface.clearCachedChunk(); long startTime = System.nanoTime() / 1000000L; boolean slowPath = Baritone.settings().slowPath.get(); if (slowPath) { logDebug("slowPath is on, path timeout will be " + Baritone.settings().slowPathTimeoutMS.get() + "ms instead of " + timeout + "ms"); } long timeoutTime = startTime + (slowPath ? Baritone.settings().slowPathTimeoutMS.get() : timeout); //long lastPrintout = 0; int numNodes = 0; int numMovementsConsidered = 0; int numEmptyChunk = 0; boolean favoring = favoredPositions.isPresent(); int pathingMaxChunkBorderFetch = Baritone.settings().pathingMaxChunkBorderFetch.get(); // grab all settings beforehand so that changing settings during pathing doesn't cause a crash or unpredictable behavior double favorCoeff = Baritone.settings().backtrackCostFavoringCoefficient.get(); boolean minimumImprovementRepropagation = Baritone.settings().minimumImprovementRepropagation.get(); loopBegin(); while (!openSet.isEmpty() && numEmptyChunk < pathingMaxChunkBorderFetch && System.nanoTime() / 1000000L - timeoutTime < 0 && !cancelRequested) { if (slowPath) { try { Thread.sleep(Baritone.settings().slowPathTimeDelayMS.get()); } catch (InterruptedException ex) { } } PathNode currentNode = openSet.removeLowest(); currentNode.isOpen = false; mostRecentConsidered = currentNode; numNodes++; if (goal.isInGoal(currentNode.x, currentNode.y, currentNode.z)) { logDebug("Took " + (System.nanoTime() / 1000000L - startTime) + "ms, " + numMovementsConsidered + " movements considered"); return Optional.of(new Path(startNode, currentNode, numNodes, goal)); } for (Moves moves : Moves.values()) { int newX = currentNode.x + moves.xOffset; int newZ = currentNode.z + moves.zOffset; if ((newX >> 4 != currentNode.x >> 4 || newZ >> 4 != currentNode.z >> 4) && !BlockStateInterface.isLoaded(newX, newZ)) { // only need to check if the destination is a loaded chunk if it's in a different chunk than the start of the movement if (!moves.dynamicXZ) { // only increment the counter if the movement would have gone out of bounds guaranteed numEmptyChunk++; } continue; } if (!moves.dynamicXZ && !worldBorder.entirelyContains(newX, newZ)) { continue; } if (currentNode.y + moves.yOffset > 256 || currentNode.y + moves.yOffset < 0) { continue; } res.reset(); moves.apply(calcContext, currentNode.x, currentNode.y, currentNode.z, res); numMovementsConsidered++; double actionCost = res.cost; if (actionCost >= ActionCosts.COST_INF) { continue; } if (actionCost <= 0) { throw new IllegalStateException(moves + " calculated implausible cost " + actionCost); } if (moves.dynamicXZ && !worldBorder.entirelyContains(res.x, res.z)) { // see issue #218 continue; } // check destination after verifying it's not COST_INF -- some movements return a static IMPOSSIBLE object with COST_INF and destination being 0,0,0 to avoid allocating a new result for every failed calculation if (!moves.dynamicXZ && (res.x != newX || res.z != newZ)) { throw new IllegalStateException(moves + " " + res.x + " " + newX + " " + res.z + " " + newZ); } if (!moves.dynamicY && res.y != currentNode.y + moves.yOffset) { throw new IllegalStateException(moves + " " + res.x + " " + newX + " " + res.z + " " + newZ); } long hashCode = BetterBlockPos.longHash(res.x, res.y, res.z); if (favoring && favored.contains(hashCode)) { // see issue #18 actionCost *= favorCoeff; } PathNode neighbor = getNodeAtPosition(res.x, res.y, res.z, hashCode); double tentativeCost = currentNode.cost + actionCost; if (tentativeCost < neighbor.cost) { if (tentativeCost < 0) { throw new IllegalStateException(moves + " overflowed into negative " + actionCost + " " + neighbor.cost + " " + tentativeCost); } double improvementBy = neighbor.cost - tentativeCost; // there are floating point errors caused by random combinations of traverse and diagonal over a flat area // that means that sometimes there's a cost improvement of like 10 ^ -16 // it's not worth the time to update the costs, decrease-key the heap, potentially repropagate, etc if (improvementBy < 0.01 && minimumImprovementRepropagation) { // who cares about a hundredth of a tick? that's half a millisecond for crying out loud! continue; } neighbor.previous = currentNode; neighbor.cost = tentativeCost; neighbor.combinedCost = tentativeCost + neighbor.estimatedCostToGoal; if (neighbor.isOpen) { openSet.update(neighbor); } else { neighbor.isOpen = true; openSet.insert(neighbor);//dont double count, dont insert into open set if it's already there } for (int i = 0; i < bestSoFar.length; i++) { double heuristic = neighbor.estimatedCostToGoal + neighbor.cost / COEFFICIENTS[i]; if (heuristic < bestHeuristicSoFar[i]) { if (bestHeuristicSoFar[i] - heuristic < 0.01 && minimumImprovementRepropagation) { continue; } bestHeuristicSoFar[i] = heuristic; bestSoFar[i] = neighbor; } } } } } if (cancelRequested) { return Optional.empty(); } System.out.println(numMovementsConsidered + " movements considered"); System.out.println("Open set size: " + openSet.size()); System.out.println("PathNode map size: " + mapSize()); System.out.println((int) (numNodes * 1.0 / ((System.nanoTime() / 1000000L - startTime) / 1000F)) + " nodes per second"); double bestDist = 0; for (int i = 0; i < bestSoFar.length; i++) { if (bestSoFar[i] == null) { continue; } double dist = getDistFromStartSq(bestSoFar[i]); if (dist > bestDist) { bestDist = dist; } if (dist > MIN_DIST_PATH * MIN_DIST_PATH) { // square the comparison since distFromStartSq is squared logDebug("Took " + (System.nanoTime() / 1000000L - startTime) + "ms, A* cost coefficient " + COEFFICIENTS[i] + ", " + numMovementsConsidered + " movements considered"); if (COEFFICIENTS[i] >= 3) { System.out.println("Warning: cost coefficient is greater than three! Probably means that"); System.out.println("the path I found is pretty terrible (like sneak-bridging for dozens of blocks)"); System.out.println("But I'm going to do it anyway, because yolo"); } System.out.println("Path goes for " + Math.sqrt(dist) + " blocks"); return Optional.of(new Path(startNode, bestSoFar[i], numNodes, goal)); } } logDebug("Even with a cost coefficient of " + COEFFICIENTS[COEFFICIENTS.length - 1] + ", I couldn't get more than " + Math.sqrt(bestDist) + " blocks"); logDebug("No path found =("); return Optional.empty(); } }