add a method to get the heuristic at the goal
this alows the ETA to work with goals not ending with a heuristic of 0 GoalComposite, GoalRunAway and GoalNear are still missing
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@ -54,4 +54,18 @@ public interface Goal {
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default double heuristic(BlockPos pos) {
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return heuristic(pos.getX(), pos.getY(), pos.getZ());
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}
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/**
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* Returns the heuristic at the goal.
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* i.e. {@code heuristic() == heuristic(x,y,z)}
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* when {@code isInGoal(x,y,z) == true}
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* This is needed by {@code PathingBehavior#estimatedTicksToGoal} because
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* some Goals actually do not have a heuristic of 0 when that condition is met
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*
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* @return The estimate number of ticks to satisfy the goal when the goal
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* is already satisfied
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*/
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default double heuristic() {
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return 0;
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}
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}
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@ -45,6 +45,11 @@ public class GoalInverted implements Goal {
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return -origin.heuristic(x, y, z);
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}
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@Override
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public double heuristic() {
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return Double.NEGATIVE_INFINITY;
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}
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@Override
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public String toString() {
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return String.format("GoalInverted{%s}", origin.toString());
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@ -64,6 +64,11 @@ public class GoalStrictDirection implements Goal {
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return heuristic;
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}
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@Override
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public double heuristic() {
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return Double.NEGATIVE_INFINITY;
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}
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@Override
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public String toString() {
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return String.format(
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@ -387,7 +387,7 @@ public final class PathingBehavior extends Behavior implements IPathingBehavior,
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if (current == start) {//can't check above because current and start can be equal even if currentPos and startPosition are not
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return Optional.empty();
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}
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double eta = Math.abs(current) * ticksElapsedSoFar / Math.abs(start - current);
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double eta = Math.abs(current - goal.heuristic()) * ticksElapsedSoFar / Math.abs(start - current);
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return Optional.of(eta);
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}
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