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https://github.com/PaperMC/Paper.git
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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 CraftBukkit Changes: ab8ace685 SPIGOT-7236: Bone meal doesn't increase use statistic 7dcb59b8e Avoid switch on material in previous commit Spigot Changes: 19641c75 SPIGOT-7235: World.Spigot#strikeLightningEffect doesn't do anything
136 Zeilen
6.8 KiB
Diff
136 Zeilen
6.8 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 300c812d513e0b948a7e79c0ed241f514c7a09fc..d23481453717f715124156b5d83f6448f720d049 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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@@ -38,9 +38,12 @@ public class PathFinder {
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if (node == null) {
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return null;
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} else {
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- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((pos) -> {
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- return this.nodeEvaluator.getGoal((double)pos.getX(), (double)pos.getY(), (double)pos.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 pos : positions) {
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+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(pos.getX(), pos.getY(), pos.getZ()), pos));
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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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@@ -48,18 +51,19 @@ public class PathFinder {
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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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@@ -71,14 +75,18 @@ 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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@@ -93,7 +101,7 @@ 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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@@ -105,23 +113,31 @@ public class PathFinder {
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}
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}
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- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((node) -> {
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- return this.reconstructPath(node.getBestNode(), positions.get(node), 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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protected float distance(Node a, Node b) {
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return a.distanceTo(b);
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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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