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geforkt von Mirrors/Paper
Paper/patches/server/0480-Optimize-Pathfinder-Remove-Streams-Optimized-collect.patch
Jake Potrebic 7c2dc4b342
Use Codecs for adventure Component conversions & network serialization (#10014)
* finish implementing all adventure components in codecs

* add some initial tests

* Add round trip tests for text and translatable components

* Add more round trip test data (score component is failing)

* Add more round trip test data

* Fix SCORE_COMPONENT_MAP_CODEC

* Improve test failure messages

* Add failure cases

* Add a couple more test data

* Make use of AdventureCodecs

* Update patches after rebase

* Squash changes into adventure patch

* Fix AT formatting

* update comment

---------

Co-authored-by: Jason Penilla <11360596+jpenilla@users.noreply.github.com>
2023-12-11 22:02:06 -08:00

136 Zeilen
6.8 KiB
Diff

From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
From: Aikar <aikar@aikar.co>
Date: Tue, 4 Aug 2020 22:24:15 +0200
Subject: [PATCH] Optimize Pathfinder - Remove Streams / Optimized collections
1.17 Update: Please do this k thx bb
I utilized the IDE to convert streams to non streams code, so shouldn't
be any risk of behavior change. Only did minor optimization of the
generated code set to remove unnecessary things.
I expect us to just drop this patch on next major update and re-apply
it with the IDE again and re-apply the collections optimization.
Optimize collection by creating a list instead of a set of the key and value.
This lets us get faster foreach iteration, as well as avoids map lookups on
the values when needed.
diff --git a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
index 8519383a9abd45434c1e9888e77548941a80c79c..d23481453717f715124156b5d83f6448f720d049 100644
--- a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
+++ b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
@@ -38,9 +38,12 @@ public class PathFinder {
if (node == null) {
return null;
} else {
- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((pos) -> {
- return this.nodeEvaluator.getGoal((double)pos.getX(), (double)pos.getY(), (double)pos.getZ());
- }, Function.identity()));
+ // Paper start - remove streams - and optimize collection
+ List<Map.Entry<Target, BlockPos>> map = Lists.newArrayList();
+ for (BlockPos pos : positions) {
+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(pos.getX(), pos.getY(), pos.getZ()), pos));
+ }
+ // Paper end
Path path = this.findPath(world.getProfiler(), node, map, followRange, distance, rangeMultiplier);
this.nodeEvaluator.done();
return path;
@@ -48,18 +51,19 @@ public class PathFinder {
}
@Nullable
- private Path findPath(ProfilerFiller profiler, Node startNode, Map<Target, BlockPos> positions, float followRange, int distance, float rangeMultiplier) {
+ // Paper start - optimize collection
+ private Path findPath(ProfilerFiller profiler, Node startNode, List<Map.Entry<Target, BlockPos>> positions, float followRange, int distance, float rangeMultiplier) {
profiler.push("find_path");
profiler.markForCharting(MetricCategory.PATH_FINDING);
- Set<Target> set = positions.keySet();
+ // Set<Target> set = positions.keySet();
startNode.g = 0.0F;
- startNode.h = this.getBestH(startNode, set);
+ startNode.h = this.getBestH(startNode, positions); // Paper - optimize collection
startNode.f = startNode.h;
this.openSet.clear();
this.openSet.insert(startNode);
- Set<Node> set2 = ImmutableSet.of();
+ // Set<Node> set2 = ImmutableSet.of(); // Paper - unused - diff on change
int i = 0;
- Set<Target> set3 = Sets.newHashSetWithExpectedSize(set.size());
+ List<Map.Entry<Target, BlockPos>> entryList = Lists.newArrayListWithExpectedSize(positions.size()); // Paper - optimize collection
int j = (int)((float)this.maxVisitedNodes * rangeMultiplier);
while(!this.openSet.isEmpty()) {
@@ -71,14 +75,18 @@ public class PathFinder {
Node node = this.openSet.pop();
node.closed = true;
- for(Target target : set) {
+ // Paper start - optimize collection
+ for(int i1 = 0; i1 < positions.size(); i1++) {
+ final Map.Entry<Target, BlockPos> entry = positions.get(i1);
+ Target target = entry.getKey();
if (node.distanceManhattan(target) <= (float)distance) {
target.setReached();
- set3.add(target);
+ entryList.add(entry);
+ // Paper end
}
}
- if (!set3.isEmpty()) {
+ if (!entryList.isEmpty()) { // Paper - rename variable
break;
}
@@ -93,7 +101,7 @@ public class PathFinder {
if (node2.walkedDistance < followRange && (!node2.inOpenSet() || g < node2.g)) {
node2.cameFrom = node;
node2.g = g;
- node2.h = this.getBestH(node2, set) * 1.5F;
+ node2.h = this.getBestH(node2, positions) * 1.5F; // Paper - list instead of set
if (node2.inOpenSet()) {
this.openSet.changeCost(node2, node2.g + node2.h);
} else {
@@ -105,23 +113,31 @@ public class PathFinder {
}
}
- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((node) -> {
- return this.reconstructPath(node.getBestNode(), positions.get(node), true);
- }).min(Comparator.comparingInt(Path::getNodeCount)) : set.stream().map((target) -> {
- return this.reconstructPath(target.getBestNode(), positions.get(target), false);
- }).min(Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount));
- profiler.pop();
- return optional.isEmpty() ? null : optional.get();
+ // Paper start - remove streams - and optimize collection
+ Path best = null;
+ boolean entryListIsEmpty = entryList.isEmpty();
+ Comparator<Path> comparator = entryListIsEmpty ? Comparator.comparingInt(Path::getNodeCount)
+ : Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount);
+ for (Map.Entry<Target, BlockPos> entry : entryListIsEmpty ? positions : entryList) {
+ Path path = this.reconstructPath(entry.getKey().getBestNode(), entry.getValue(), !entryListIsEmpty);
+ if (best == null || comparator.compare(path, best) < 0)
+ best = path;
+ }
+ return best;
+ // Paper end
}
protected float distance(Node a, Node b) {
return a.distanceTo(b);
}
- private float getBestH(Node node, Set<Target> targets) {
+ private float getBestH(Node node, List<Map.Entry<Target, BlockPos>> targets) { // Paper - optimize collection - Set<Target> -> List<Map.Entry<Target, BlockPos>>
float f = Float.MAX_VALUE;
- for(Target target : targets) {
+ // Paper start - optimize collection
+ for (int i = 0, targetsSize = targets.size(); i < targetsSize; i++) {
+ final Target target = targets.get(i).getKey();
+ // Paper end
float g = node.distanceTo(target);
target.updateBest(g, node);
f = Math.min(g, f);