use of baritone.utils.pathing.MutableMoveResult in project baritone by cabaletta.
the class MovementDescend method calculateCost.
@Override
public double calculateCost(CalculationContext context) {
MutableMoveResult result = new MutableMoveResult();
cost(context, src.x, src.y, src.z, dest.x, dest.z, result);
if (result.y != dest.y) {
// doesn't apply to us, this position is a fall not a descend
return COST_INF;
}
return result.cost;
}
use of baritone.utils.pathing.MutableMoveResult in project baritone by cabaletta.
the class MovementParkour method calculateCost.
@Override
public double calculateCost(CalculationContext context) {
MutableMoveResult res = new MutableMoveResult();
cost(context, src.x, src.y, src.z, direction, res);
if (res.x != dest.x || res.y != dest.y || res.z != dest.z) {
return COST_INF;
}
return res.cost;
}
use of baritone.utils.pathing.MutableMoveResult in project baritone by cabaletta.
the class AStarPathFinder method calculate0.
@Override
protected Optional<IPath> calculate0(long primaryTimeout, long failureTimeout) {
startNode = getNodeAtPosition(startX, startY, startZ, BetterBlockPos.longHash(startX, startY, startZ));
startNode.cost = 0;
startNode.combinedCost = startNode.estimatedCostToGoal;
BinaryHeapOpenSet openSet = new BinaryHeapOpenSet();
openSet.insert(startNode);
// 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;
}
MutableMoveResult res = new MutableMoveResult();
BetterWorldBorder worldBorder = new BetterWorldBorder(calcContext.world.getWorldBorder());
long startTime = System.currentTimeMillis();
boolean slowPath = Baritone.settings().slowPath.value;
if (slowPath) {
logDebug("slowPath is on, path timeout will be " + Baritone.settings().slowPathTimeoutMS.value + "ms instead of " + primaryTimeout + "ms");
}
long primaryTimeoutTime = startTime + (slowPath ? Baritone.settings().slowPathTimeoutMS.value : primaryTimeout);
long failureTimeoutTime = startTime + (slowPath ? Baritone.settings().slowPathTimeoutMS.value : failureTimeout);
boolean failing = true;
int numNodes = 0;
int numMovementsConsidered = 0;
int numEmptyChunk = 0;
boolean isFavoring = !favoring.isEmpty();
int timeCheckInterval = 1 << 6;
// grab all settings beforehand so that changing settings during pathing doesn't cause a crash or unpredictable behavior
int pathingMaxChunkBorderFetch = Baritone.settings().pathingMaxChunkBorderFetch.value;
double minimumImprovement = Baritone.settings().minimumImprovementRepropagation.value ? MIN_IMPROVEMENT : 0;
Moves[] allMoves = Moves.values();
while (!openSet.isEmpty() && numEmptyChunk < pathingMaxChunkBorderFetch && !cancelRequested) {
if ((numNodes & (timeCheckInterval - 1)) == 0) {
// only call this once every 64 nodes (about half a millisecond)
// since nanoTime is slow on windows (takes many microseconds)
long now = System.currentTimeMillis();
if (now - failureTimeoutTime >= 0 || (!failing && now - primaryTimeoutTime >= 0)) {
break;
}
}
if (slowPath) {
try {
Thread.sleep(Baritone.settings().slowPathTimeDelayMS.value);
} catch (InterruptedException ignored) {
}
}
PathNode currentNode = openSet.removeLowest();
mostRecentConsidered = currentNode;
numNodes++;
if (goal.isInGoal(currentNode.x, currentNode.y, currentNode.z)) {
logDebug("Took " + (System.currentTimeMillis() - startTime) + "ms, " + numMovementsConsidered + " movements considered");
return Optional.of(new Path(startNode, currentNode, numNodes, goal, calcContext));
}
for (Moves moves : allMoves) {
int newX = currentNode.x + moves.xOffset;
int newZ = currentNode.z + moves.zOffset;
if ((newX >> 4 != currentNode.x >> 4 || newZ >> 4 != currentNode.z >> 4) && !calcContext.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 || Double.isNaN(actionCost)) {
throw new IllegalStateException(moves + " calculated implausible cost " + actionCost);
}
// 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 && !worldBorder.entirelyContains(res.x, res.z)) {
// see issue #218
continue;
}
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.y + " " + (currentNode.y + moves.yOffset));
}
long hashCode = BetterBlockPos.longHash(res.x, res.y, res.z);
if (isFavoring) {
// see issue #18
actionCost *= favoring.calculate(hashCode);
}
PathNode neighbor = getNodeAtPosition(res.x, res.y, res.z, hashCode);
double tentativeCost = currentNode.cost + actionCost;
if (neighbor.cost - tentativeCost > minimumImprovement) {
neighbor.previous = currentNode;
neighbor.cost = tentativeCost;
neighbor.combinedCost = tentativeCost + neighbor.estimatedCostToGoal;
if (neighbor.isOpen()) {
openSet.update(neighbor);
} else {
// dont double count, dont insert into open set if it's already there
openSet.insert(neighbor);
}
for (int i = 0; i < COEFFICIENTS.length; i++) {
double heuristic = neighbor.estimatedCostToGoal + neighbor.cost / COEFFICIENTS[i];
if (bestHeuristicSoFar[i] - heuristic > minimumImprovement) {
bestHeuristicSoFar[i] = heuristic;
bestSoFar[i] = neighbor;
if (failing && getDistFromStartSq(neighbor) > MIN_DIST_PATH * MIN_DIST_PATH) {
failing = false;
}
}
}
}
}
}
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.currentTimeMillis() - startTime) / 1000F)) + " nodes per second");
Optional<IPath> result = bestSoFar(true, numNodes);
if (result.isPresent()) {
logDebug("Took " + (System.currentTimeMillis() - startTime) + "ms, " + numMovementsConsidered + " movements considered");
}
return result;
}
use of baritone.utils.pathing.MutableMoveResult in project Spark-Client by Spark-Client-Development.
the class MovementParkour method calculateCost.
@Override
public double calculateCost(CalculationContext context) {
MutableMoveResult res = new MutableMoveResult();
cost(context, src.x, src.y, src.z, direction, res);
if (res.x != dest.x || res.y != dest.y || res.z != dest.z) {
return COST_INF;
}
return res.cost;
}
use of baritone.utils.pathing.MutableMoveResult in project Spark-Client by Spark-Client-Development.
the class MovementDescend method calculateCost.
@Override
public double calculateCost(CalculationContext context) {
MutableMoveResult result = new MutableMoveResult();
cost(context, src.x, src.y, src.z, dest.x, dest.z, result);
if (result.y != dest.y) {
// doesn't apply to us, this position is a fall not a descend
return COST_INF;
}
return result.cost;
}
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