Repo-Mirror/LeavesMC
9
0
Fork 0
mirror of https://github.com/LeavesMC/Leaves.git synced 2025-12-19 14:59:32 +00:00
Code Issues Releases Activity
Files
f09fbb247dbe79c7a612b104861e2ee162c58e39
LeavesMC/leaves-server/minecraft-patches/features/0062-Optimize-noise-generation.patch
Lumine1909 f09fbb247d 1.21.5 (#470) 
---------

Co-authored-by: violetc <58360096+s-yh-china@users.noreply.github.com>
Co-authored-by: Fortern <blueten.ki@gmail.com>
Co-authored-by: MC_XiaoHei <xor7xiaohei@gmail.com>
Co-authored-by: Helvetica Volubi <88063803+Suisuroru@users.noreply.github.com>
Co-authored-by: MC_XiaoHei <xiaohei.xor7@outlook.com>
2025-06-05 18:41:51 +08:00

282 lines
14 KiB
Diff
Raw Blame History

From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
From: violetc <58360096+s-yh-china@users.noreply.github.com>
Date: Tue, 18 Jul 2023 15:27:19 +0800
Subject: [PATCH] Optimize noise generation
This patch is Powered by Gale(https://github.com/GaleMC/Gale)
diff --git a/net/minecraft/world/level/levelgen/synth/ImprovedNoise.java b/net/minecraft/world/level/levelgen/synth/ImprovedNoise.java
index fb11a2eea540d55e50eab59f9857ca5d99f556f8..47225646e98b5707af167cf8758f44c42c3cd38c 100644
--- a/net/minecraft/world/level/levelgen/synth/ImprovedNoise.java
+++ b/net/minecraft/world/level/levelgen/synth/ImprovedNoise.java
@@ -11,6 +11,27 @@ public final class ImprovedNoise {
public final double yo;
public final double zo;
+ // Leaves start - optimize noise generation
+ private static final double[] FLAT_SIMPLEX_GRAD = new double[]{
+ 1, 1, 0, 0,
+ -1, 1, 0, 0,
+ 1, -1, 0, 0,
+ -1, -1, 0, 0,
+ 1, 0, 1, 0,
+ -1, 0, 1, 0,
+ 1, 0, -1, 0,
+ -1, 0, -1, 0,
+ 0, 1, 1, 0,
+ 0, -1, 1, 0,
+ 0, 1, -1, 0,
+ 0, -1, -1, 0,
+ 1, 1, 0, 0,
+ 0, -1, 1, 0,
+ -1, 1, 0, 0,
+ 0, -1, -1, 0,
+ };
+ // Leaves end - optimize noise generation
+
public ImprovedNoise(RandomSource random) {
this.xo = random.nextDouble() * 256.0;
this.yo = random.nextDouble() * 256.0;
@@ -41,9 +62,20 @@ public final class ImprovedNoise {
int floor = Mth.floor(d);
int floor1 = Mth.floor(d1);
int floor2 = Mth.floor(d2);
- double d3 = d - floor;
- double d4 = d1 - floor1;
- double d5 = d2 - floor2;
+ // Leaves start - optimize noise generation
+ double d3;
+ double d4;
+ double d5;
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ d3 = d - (double)floor;
+ d4 = d1 - (double)floor1;
+ d5 = d2 - (double)floor2;
+ } else {
+ d3 = d - floor;
+ d4 = d1 - floor1;
+ d5 = d2 - floor2;
+ }
+ // Leaves end - optimize noise generation
double d7;
if (yScale != 0.0) {
double d6;
@@ -53,12 +85,24 @@ public final class ImprovedNoise {
d6 = d4;
}
- d7 = Mth.floor(d6 / yScale + 1.0E-7F) * yScale;
+ // Leaves start - optimize noise generation
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ d7 = (double)Mth.floor(d6 / yScale + 1.0E-7F) * yScale;
+ } else {
+ d7 = Math.floor(d6 / yScale + (double)1.0E-7F) * yScale;
+ }
+ // Leaves end - optimize noise generation
} else {
d7 = 0.0;
}
- return this.sampleAndLerp(floor, floor1, floor2, d3, d4 - d7, d5, d4);
+ // Leaves start - optimize noise generation
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ return this.sampleAndLerp(floor, floor1, floor2, d3, d4 - d7, d5, d4);
+ } else {
+ return this.sampleAndLerp((int) floor, (int) floor1, (int) floor2, d3, d4 - d7, d5, d4);
+ }
+ // Leaves end - optimize noise generation
}
public double noiseWithDerivative(double x, double y, double z, double[] values) {
@@ -68,10 +112,19 @@ public final class ImprovedNoise {
int floor = Mth.floor(d);
int floor1 = Mth.floor(d1);
int floor2 = Mth.floor(d2);
- double d3 = d - floor;
- double d4 = d1 - floor1;
- double d5 = d2 - floor2;
- return this.sampleWithDerivative(floor, floor1, floor2, d3, d4, d5, values);
+ // Leaves start - optimize noise generation
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ double d3 = d - (double)floor;
+ double d4 = d1 - (double)floor1;
+ double d5 = d2 - (double)floor2;
+ return this.sampleWithDerivative(floor, floor1, floor2, d3, d4, d5, values);
+ } else {
+ double d3 = d - floor;
+ double d4 = d1 - floor1;
+ double d5 = d2 - floor2;
+ return this.sampleWithDerivative((int) floor, (int) floor1, (int) floor2, d3, d4, d5, values);
+ }
+ // Leaves end - optimize noise generation
}
private static double gradDot(int gradIndex, double xFactor, double yFactor, double zFactor) {
@@ -83,24 +136,90 @@ public final class ImprovedNoise {
}
private double sampleAndLerp(int gridX, int gridY, int gridZ, double deltaX, double weirdDeltaY, double deltaZ, double deltaY) {
- int i = this.p(gridX);
- int i1 = this.p(gridX + 1);
- int i2 = this.p(i + gridY);
- int i3 = this.p(i + gridY + 1);
- int i4 = this.p(i1 + gridY);
- int i5 = this.p(i1 + gridY + 1);
- double d = gradDot(this.p(i2 + gridZ), deltaX, weirdDeltaY, deltaZ);
- double d1 = gradDot(this.p(i4 + gridZ), deltaX - 1.0, weirdDeltaY, deltaZ);
- double d2 = gradDot(this.p(i3 + gridZ), deltaX, weirdDeltaY - 1.0, deltaZ);
- double d3 = gradDot(this.p(i5 + gridZ), deltaX - 1.0, weirdDeltaY - 1.0, deltaZ);
- double d4 = gradDot(this.p(i2 + gridZ + 1), deltaX, weirdDeltaY, deltaZ - 1.0);
- double d5 = gradDot(this.p(i4 + gridZ + 1), deltaX - 1.0, weirdDeltaY, deltaZ - 1.0);
- double d6 = gradDot(this.p(i3 + gridZ + 1), deltaX, weirdDeltaY - 1.0, deltaZ - 1.0);
- double d7 = gradDot(this.p(i5 + gridZ + 1), deltaX - 1.0, weirdDeltaY - 1.0, deltaZ - 1.0);
- double d8 = Mth.smoothstep(deltaX);
- double d9 = Mth.smoothstep(deltaY);
- double d10 = Mth.smoothstep(deltaZ);
- return Mth.lerp3(d8, d9, d10, d, d1, d2, d3, d4, d5, d6, d7);
+ // Leaves start - optimize noise generation
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ int i = this.p(gridX);
+ int i1 = this.p(gridX + 1);
+ int i2 = this.p(i + gridY);
+ int i3 = this.p(i + gridY + 1);
+ int i4 = this.p(i1 + gridY);
+ int i5 = this.p(i1 + gridY + 1);
+ double d = gradDot(this.p(i2 + gridZ), deltaX, weirdDeltaY, deltaZ);
+ double d1 = gradDot(this.p(i4 + gridZ), deltaX - 1.0, weirdDeltaY, deltaZ);
+ double d2 = gradDot(this.p(i3 + gridZ), deltaX, weirdDeltaY - 1.0, deltaZ);
+ double d3 = gradDot(this.p(i5 + gridZ), deltaX - 1.0, weirdDeltaY - 1.0, deltaZ);
+ double d4 = gradDot(this.p(i2 + gridZ + 1), deltaX, weirdDeltaY, deltaZ - 1.0);
+ double d5 = gradDot(this.p(i4 + gridZ + 1), deltaX - 1.0, weirdDeltaY, deltaZ - 1.0);
+ double d6 = gradDot(this.p(i3 + gridZ + 1), deltaX, weirdDeltaY - 1.0, deltaZ - 1.0);
+ double d7 = gradDot(this.p(i5 + gridZ + 1), deltaX - 1.0, weirdDeltaY - 1.0, deltaZ - 1.0);
+ double d8 = Mth.smoothstep(deltaX);
+ double d9 = Mth.smoothstep(deltaY);
+ double d10 = Mth.smoothstep(deltaZ);
+ return Mth.lerp3(d8, d9, d10, d, d1, d2, d3, d4, d5, d6, d7);
+ } else {
+ final int var0 = gridX & 0xFF;
+ final int var1 = (gridX + 1) & 0xFF;
+ final int var2 = this.p[var0] & 0xFF;
+ final int var3 = this.p[var1] & 0xFF;
+ final int var4 = (var2 + gridY) & 0xFF;
+ final int var5 = (var3 + gridY) & 0xFF;
+ final int var6 = (var2 + gridY + 1) & 0xFF;
+ final int var7 = (var3 + gridY + 1) & 0xFF;
+ final int var8 = this.p[var4] & 0xFF;
+ final int var9 = this.p[var5] & 0xFF;
+ final int var10 = this.p[var6] & 0xFF;
+ final int var11 = this.p[var7] & 0xFF;
+
+ final int var12 = (var8 + gridZ) & 0xFF;
+ final int var13 = (var9 + gridZ) & 0xFF;
+ final int var14 = (var10 + gridZ) & 0xFF;
+ final int var15 = (var11 + gridZ) & 0xFF;
+ final int var16 = (var8 + gridZ + 1) & 0xFF;
+ final int var17 = (var9 + gridZ + 1) & 0xFF;
+ final int var18 = (var10 + gridZ + 1) & 0xFF;
+ final int var19 = (var11 + gridZ + 1) & 0xFF;
+ final int var20 = (this.p[var12] & 15) << 2;
+ final int var21 = (this.p[var13] & 15) << 2;
+ final int var22 = (this.p[var14] & 15) << 2;
+ final int var23 = (this.p[var15] & 15) << 2;
+ final int var24 = (this.p[var16] & 15) << 2;
+ final int var25 = (this.p[var17] & 15) << 2;
+ final int var26 = (this.p[var18] & 15) << 2;
+ final int var27 = (this.p[var19] & 15) << 2;
+ final double var60 = deltaX - 1.0;
+ final double var61 = deltaY - 1.0;
+ final double var62 = deltaZ - 1.0;
+ final double var87 = FLAT_SIMPLEX_GRAD[(var20) | 0] * deltaX + FLAT_SIMPLEX_GRAD[(var20) | 1] * weirdDeltaY + FLAT_SIMPLEX_GRAD[(var20) | 2] * deltaZ;
+ final double var88 = FLAT_SIMPLEX_GRAD[(var21) | 0] * var60 + FLAT_SIMPLEX_GRAD[(var21) | 1] * weirdDeltaY + FLAT_SIMPLEX_GRAD[(var21) | 2] * deltaZ;
+ final double var89 = FLAT_SIMPLEX_GRAD[(var22) | 0] * deltaX + FLAT_SIMPLEX_GRAD[(var22) | 1] * var61 + FLAT_SIMPLEX_GRAD[(var22) | 2] * deltaZ;
+ final double var90 = FLAT_SIMPLEX_GRAD[(var23) | 0] * var60 + FLAT_SIMPLEX_GRAD[(var23) | 1] * var61 + FLAT_SIMPLEX_GRAD[(var23) | 2] * deltaZ;
+ final double var91 = FLAT_SIMPLEX_GRAD[(var24) | 0] * deltaX + FLAT_SIMPLEX_GRAD[(var24) | 1] * weirdDeltaY + FLAT_SIMPLEX_GRAD[(var24) | 2] * var62;
+ final double var92 = FLAT_SIMPLEX_GRAD[(var25) | 0] * var60 + FLAT_SIMPLEX_GRAD[(var25) | 1] * weirdDeltaY + FLAT_SIMPLEX_GRAD[(var25) | 2] * var62;
+ final double var93 = FLAT_SIMPLEX_GRAD[(var26) | 0] * deltaX + FLAT_SIMPLEX_GRAD[(var26) | 1] * var61 + FLAT_SIMPLEX_GRAD[(var26) | 2] * var62;
+ final double var94 = FLAT_SIMPLEX_GRAD[(var27) | 0] * var60 + FLAT_SIMPLEX_GRAD[(var27) | 1] * var61 + FLAT_SIMPLEX_GRAD[(var27) | 2] * var62;
+
+ final double var95 = deltaX * 6.0 - 15.0;
+ final double var96 = weirdDeltaY * 6.0 - 15.0;
+ final double var97 = deltaZ * 6.0 - 15.0;
+ final double var98 = deltaX * var95 + 10.0;
+ final double var99 = weirdDeltaY * var96 + 10.0;
+ final double var100 = deltaZ * var97 + 10.0;
+ final double var101 = deltaX * deltaX * deltaX * var98;
+ final double var102 = weirdDeltaY * weirdDeltaY * weirdDeltaY * var99;
+ final double var103 = deltaZ * deltaZ * deltaZ * var100;
+
+ final double var113 = var87 + var101 * (var88 - var87);
+ final double var114 = var93 + var101 * (var94 - var93);
+ final double var115 = var91 + var101 * (var92 - var91);
+ final double var116 = var89 + var101 * (var90 - var89);
+ final double var117 = var114 - var115;
+ final double var118 = var102 * (var116 - var113);
+ final double var119 = var102 * var117;
+ final double var120 = var113 + var118;
+ final double var121 = var115 + var119;
+ return var120 + (var103 * (var121 - var120));
+ }
+ // Leaves end - optimize noise generation
}
private double sampleWithDerivative(int gridX, int gridY, int gridZ, double deltaX, double deltaY, double deltaZ, double[] noiseValues) {
diff --git a/net/minecraft/world/level/levelgen/synth/PerlinNoise.java b/net/minecraft/world/level/levelgen/synth/PerlinNoise.java
index da3c26fbad32d75d71f7e59c8c3341316a754756..82a2569139b088b30f9d8a13f50d556fefd78742 100644
--- a/net/minecraft/world/level/levelgen/synth/PerlinNoise.java
+++ b/net/minecraft/world/level/levelgen/synth/PerlinNoise.java
@@ -26,6 +26,10 @@ public class PerlinNoise {
private final double lowestFreqValueFactor;
private final double lowestFreqInputFactor;
private final double maxValue;
+ // Leaves start - optimize noise generation
+ private final int octaveSamplersCount;
+ private final double [] amplitudesArray;
+ // Leaves end - optimize noise generation
@Deprecated
public static PerlinNoise createLegacyForBlendedNoise(RandomSource random, IntStream octaves) {
@@ -127,6 +131,10 @@ public class PerlinNoise {
this.lowestFreqInputFactor = Math.pow(2.0, -i);
this.lowestFreqValueFactor = Math.pow(2.0, size - 1) / (Math.pow(2.0, size) - 1.0);
this.maxValue = this.edgeValue(2.0);
+ // Leaves start - optimize noise generation
+ this.octaveSamplersCount = this.noiseLevels.length;
+ this.amplitudesArray = this.amplitudes.toDoubleArray();
+ // Leaves end - optimize noise generation
}
protected double maxValue() {
@@ -138,7 +146,30 @@ public class PerlinNoise {
}
public double getValue(double x, double y, double z) {
- return this.getValue(x, y, z, 0.0, 0.0, false);
+ // Leaves start - optimize noise generation
+ if (!org.leavesmc.leaves.LeavesConfig.performance.optimizeNoiseGeneration) {
+ return this.getValue(x, y, z, 0.0, 0.0, false);
+ } else {
+ double d = 0.0;
+ double e = this.lowestFreqInputFactor;
+ double f = this.lowestFreqValueFactor;
+
+ for(int i = 0; i < this.octaveSamplersCount; ++i) {
+ ImprovedNoise perlinNoiseSampler = this.noiseLevels[i];
+ if (perlinNoiseSampler != null) {
+ @SuppressWarnings("deprecation")
+ double g = perlinNoiseSampler.noise(
+ wrap(x * e), wrap(y * e), wrap(z * e), 0.0, 0.0
+ );
+ d += this.amplitudesArray[i] * g * f;
+ }
+
+ e *= 2.0;
+ f /= 2.0;
+ }
+ return d;
+ }
+ // Leaves end - optimize noise generation
}
@Deprecated
Reference in New Issue View Git Blame Copy Permalink