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ea0ec8c5a0
Upstream has released updates that appear to apply and compile correctly. This update has not been tested by PaperMC and as with ANY update, please do your own testing Bukkit Changes: e9ce88b9 SPIGOT-6562: Add more specific sculk sensor event CraftBukkit Changes: d7ef1e91 SPIGOT-6558: Attempt to improve SkullMeta e7a63287 SPIGOT-6562: Add more specific sculk sensor event
131 lines
6.7 KiB
Diff
131 lines
6.7 KiB
Diff
From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
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From: Aikar <aikar@aikar.co>
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Date: Tue, 4 Aug 2020 22:24:15 +0200
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Subject: [PATCH] Optimize Pathfinder - Remove Streams / Optimized collections
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1.17 Update: Please do this k thx bb
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I utilized the IDE to convert streams to non streams code, so shouldn't
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be any risk of behavior change. Only did minor optimization of the
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generated code set to remove unnecessary things.
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I expect us to just drop this patch on next major update and re-apply
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it with the IDE again and re-apply the collections optimization.
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Optimize collection by creating a list instead of a set of the key and value.
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This lets us get faster foreach iteration, as well as avoids map lookups on
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the values when needed.
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diff --git a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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index 800d464207026d145056b39b298045121342b899..6062f5154c55179e1cf3b280e6dc56d2f561987d 100644
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--- a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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+++ b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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@@ -35,27 +35,31 @@ public class PathFinder {
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this.openSet.clear();
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this.nodeEvaluator.prepare(world, mob);
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Node node = this.nodeEvaluator.getStart();
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- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((blockPos) -> {
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- return this.nodeEvaluator.getGoal((double)blockPos.getX(), (double)blockPos.getY(), (double)blockPos.getZ());
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- }, Function.identity()));
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+ // Paper start - remove streams - and optimize collection
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+ List<Map.Entry<Target, BlockPos>> map = Lists.newArrayList();
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+ for (BlockPos blockPos : positions) {
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+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(blockPos.getX(), blockPos.getY(), blockPos.getZ()), blockPos));
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+ }
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+ // Paper end
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Path path = this.findPath(world.getProfiler(), node, map, followRange, distance, rangeMultiplier);
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this.nodeEvaluator.done();
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return path;
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}
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@Nullable
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- private Path findPath(ProfilerFiller profiler, Node startNode, Map<Target, BlockPos> positions, float followRange, int distance, float rangeMultiplier) {
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+ // Paper start - optimize collection
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+ private Path findPath(ProfilerFiller profiler, Node startNode, List<Map.Entry<Target, BlockPos>> positions, float followRange, int distance, float rangeMultiplier) {
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profiler.push("find_path");
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profiler.markForCharting(MetricCategory.PATH_FINDING);
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- Set<Target> set = positions.keySet();
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+ //Set<Target> set = positions.keySet();
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startNode.g = 0.0F;
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- startNode.h = this.getBestH(startNode, set);
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+ startNode.h = this.getBestH(startNode, positions); // Paper - optimize collection
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startNode.f = startNode.h;
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this.openSet.clear();
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this.openSet.insert(startNode);
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- Set<Node> set2 = ImmutableSet.of();
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+ //Set<Node> set2 = ImmutableSet.of(); // Paper - unused - diff on change
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int i = 0;
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- Set<Target> set3 = Sets.newHashSetWithExpectedSize(set.size());
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+ List<Map.Entry<Target, BlockPos>> entryList = Lists.newArrayListWithExpectedSize(positions.size()); // Paper - optimize collection
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int j = (int)((float)this.maxVisitedNodes * rangeMultiplier);
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while(!this.openSet.isEmpty()) {
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@@ -67,14 +71,18 @@ public class PathFinder {
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Node node = this.openSet.pop();
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node.closed = true;
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- for(Target target : set) {
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+ // Paper start - optimize collection
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+ for(int i1 = 0; i1 < positions.size(); i1++) {
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+ final Map.Entry<Target, BlockPos> entry = positions.get(i1);
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+ Target target = entry.getKey();
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if (node.distanceManhattan(target) <= (float)distance) {
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target.setReached();
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- set3.add(target);
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+ entryList.add(entry);
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+ // Paper end
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}
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}
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- if (!set3.isEmpty()) {
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+ if (!entryList.isEmpty()) { // Paper - rename variable
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break;
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}
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@@ -89,7 +97,7 @@ public class PathFinder {
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if (node2.walkedDistance < followRange && (!node2.inOpenSet() || g < node2.g)) {
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node2.cameFrom = node;
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node2.g = g;
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- node2.h = this.getBestH(node2, set) * 1.5F;
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+ node2.h = this.getBestH(node2, positions) * 1.5F; // Paper - list instead of set
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if (node2.inOpenSet()) {
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this.openSet.changeCost(node2, node2.g + node2.h);
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} else {
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@@ -101,19 +109,27 @@ public class PathFinder {
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}
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}
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- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((target) -> {
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- return this.reconstructPath(target.getBestNode(), positions.get(target), true);
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- }).min(Comparator.comparingInt(Path::getNodeCount)) : set.stream().map((target) -> {
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- return this.reconstructPath(target.getBestNode(), positions.get(target), false);
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- }).min(Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount));
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- profiler.pop();
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- return !optional.isPresent() ? null : optional.get();
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+ // Paper start - remove streams - and optimize collection
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+ Path best = null;
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+ boolean entryListIsEmpty = entryList.isEmpty();
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+ Comparator<Path> comparator = entryListIsEmpty ? Comparator.comparingInt(Path::getNodeCount)
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+ : Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount);
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+ for (Map.Entry<Target, BlockPos> entry : entryListIsEmpty ? positions : entryList) {
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+ Path path = this.reconstructPath(entry.getKey().getBestNode(), entry.getValue(), !entryListIsEmpty);
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+ if (best == null || comparator.compare(path, best) < 0)
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+ best = path;
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+ }
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+ return best;
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+ // Paper end
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}
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- private float getBestH(Node node, Set<Target> targets) {
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+ private float getBestH(Node node, List<Map.Entry<Target, BlockPos>> targets) { // Paper - optimize collection - Set<Target> -> List<Map.Entry<Target, BlockPos>>
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float f = Float.MAX_VALUE;
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- for(Target target : targets) {
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+ // Paper start - optimize collection
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+ for (int i = 0, targetsSize = targets.size(); i < targetsSize; i++) {
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+ final Target target = targets.get(i).getKey();
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+ // Paper end
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float g = node.distanceTo(target);
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target.updateBest(g, node);
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f = Math.min(g, f);
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