mirrors/Terra
1
0
Fork 0
mirror of https://github.com/PolyhedralDev/Terra.git synced 2026-04-22 00:00:40 +00:00
Code Issues Packages Projects Releases Wiki Activity

getNoiseSeeded -> noise

Browse Source
This commit is contained in:
dfsek
2021-11-27 08:25:14 -07:00
parent bfee773229
commit 2aa9c86499
22 changed files with 63 additions and 65 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/normalizer/Normalizer.java
View File

@@ -20,12 +20,12 @@ public abstract class Normalizer implements NoiseSampler {
public abstract double normalize(double in);
@Override
public double getNoiseSeeded(long seed, double x, double y) {
return normalize(sampler.getNoiseSeeded(seed, x, y));
public double noise(long seed, double x, double y) {
return normalize(sampler.noise(seed, x, y));
}
@Override
public double getNoiseSeeded(long seed, double x, double y, double z) {
return normalize(sampler.getNoiseSeeded(seed, x, y, z));
public double noise(long seed, double x, double y, double z) {
return normalize(sampler.noise(seed, x, y, z));
}
}

2
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/paralithic/noise/NoiseFunction2.java
View File

@@ -28,7 +28,7 @@ public class NoiseFunction2 implements DynamicFunction {
@Override
public double eval(Context context, double... args) {
return gen.getNoiseSeeded(((SeedContext) context).getSeed(), args[0], args[1]);
return gen.noise(((SeedContext) context).getSeed(), args[0], args[1]);
}
@Override

2
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/paralithic/noise/NoiseFunction3.java
View File

@@ -28,7 +28,7 @@ public class NoiseFunction3 implements DynamicFunction {
@Override
public double eval(Context context, double... args) {
return gen.getNoiseSeeded(((SeedContext) context).getSeed(), args[0], args[1], args[2]);
return gen.noise(((SeedContext) context).getSeed(), args[0], args[1], args[2]);
}
@Override

22
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/DomainWarpedSampler.java
View File

@@ -22,19 +22,19 @@ public class DomainWarpedSampler implements NoiseSampler {
}
@Override
public double getNoiseSeeded(long seed, double x, double y) {
return function.getNoiseSeeded(seed++,
x + warp.getNoiseSeeded(seed++, x, y) * amplitude,
y + warp.getNoiseSeeded(seed, x, y) * amplitude
);
public double noise(long seed, double x, double y) {
return function.noise(seed++,
x + warp.noise(seed++, x, y) * amplitude,
y + warp.noise(seed, x, y) * amplitude
);
}
@Override
public double getNoiseSeeded(long seed, double x, double y, double z) {
return function.getNoiseSeeded(seed++,
x + warp.getNoiseSeeded(seed++, x, y, z) * amplitude,
y + warp.getNoiseSeeded(seed++, x, y, z) * amplitude,
z + warp.getNoiseSeeded(seed, x, y, z) * amplitude
);
public double noise(long seed, double x, double y, double z) {
return function.noise(seed++,
x + warp.noise(seed++, x, y, z) * amplitude,
y + warp.noise(seed++, x, y, z) * amplitude,
z + warp.noise(seed, x, y, z) * amplitude
);
}
}

6
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/ImageSampler.java
View File

@@ -27,15 +27,15 @@ public class ImageSampler implements NoiseSampler {
}
@Override
public double getNoiseSeeded(long seed, double x, double y) {
public double noise(long seed, double x, double y) {
return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()),
FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) *
2;
}
@Override
public double getNoiseSeeded(long seed, double x, double y, double z) {
return getNoiseSeeded(seed, x, y);
public double noise(long seed, double x, double y, double z) {
return noise(seed, x, y);
}
public enum Channel {

8
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/KernelSampler.java
View File

@@ -25,14 +25,14 @@ public class KernelSampler implements NoiseSampler {
}
@Override
public double getNoiseSeeded(long seed, double x, double y) {
public double noise(long seed, double x, double y) {
x *= frequency;
y *= frequency;
double accumulator = 0;
for(int kx = 0; kx < kernel.length; kx++) {
for(int ky = 0; ky < kernel[kx].length; ky++) {
accumulator += in.getNoiseSeeded(seed, x + kx, y + ky) * kernel[kx][ky];
accumulator += in.noise(seed, x + kx, y + ky) * kernel[kx][ky];
}
}
@@ -40,7 +40,7 @@ public class KernelSampler implements NoiseSampler {
}
@Override
public double getNoiseSeeded(long seed, double x, double y, double z) {
public double noise(long seed, double x, double y, double z) {
x *= frequency;
y *= frequency;
z *= frequency;
@@ -48,7 +48,7 @@ public class KernelSampler implements NoiseSampler {
for(int kx = 0; kx < kernel.length; kx++) {
for(int ky = 0; ky < kernel[kx].length; ky++) {
accumulator += in.getNoiseSeeded(seed, x + kx, y, z + ky) * kernel[kx][ky];
accumulator += in.noise(seed, x + kx, y, z + ky) * kernel[kx][ky];
}
}

5
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/CellularSampler.java
View File

@@ -9,7 +9,6 @@ package com.dfsek.terra.addons.noise.samplers.noise;
import com.dfsek.terra.addons.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.vector.Vector2;
import com.dfsek.terra.api.util.vector.Vector3;
@@ -350,7 +349,7 @@ public class CellularSampler extends NoiseFunction {
case Distance2Sub -> distance1 - distance0 - 1;
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
case Distance2Div -> distance0 / distance1 - 1;
case NoiseLookup -> noiseLookup.getNoiseSeeded(sl, centerX, centerY);
case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY);
case Distance3 -> distance2 - 1;
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
case Distance3Sub -> distance2 - distance0 - 1;
@@ -510,7 +509,7 @@ public class CellularSampler extends NoiseFunction {
case Distance2Sub -> distance1 - distance0 - 1;
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
case Distance2Div -> distance0 / distance1 - 1;
case NoiseLookup -> noiseLookup.getNoiseSeeded(sl, center.getX(), center.getY(), center.getZ());
case NoiseLookup -> noiseLookup.noise(sl, center.getX(), center.getY(), center.getZ());
case Distance3 -> distance2 - 1;
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
case Distance3Sub -> distance2 - distance0 - 1;

4
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/NoiseFunction.java
View File

@@ -135,12 +135,12 @@ public abstract class NoiseFunction implements NoiseSampler {
}
@Override
public double getNoiseSeeded(long seed, double x, double y) {
public double noise(long seed, double x, double y) {
return getNoiseRaw(seed + salt, x * frequency, y * frequency);
}
@Override
public double getNoiseSeeded(long seed, double x, double y, double z) {
public double noise(long seed, double x, double y, double z) {
return getNoiseRaw(seed + salt, x * frequency, y * frequency, z * frequency);
}

4
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/fractal/BrownianMotionSampler.java
View File

@@ -21,7 +21,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = input.getNoiseSeeded(seed++, x, y);
double noise = input.noise(seed++, x, y);
sum += noise * amp;
amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
@@ -39,7 +39,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = input.getNoiseSeeded(seed++, x, y, z);
double noise = input.noise(seed++, x, y, z);
sum += noise * amp;
amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);

4
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/fractal/PingPongSampler.java
View File

@@ -33,7 +33,7 @@ public class PingPongSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.getNoiseSeeded(seed++, x, y) + 1) * pingPongStrength);
double noise = pingPong((input.noise(seed++, x, y) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);
@@ -51,7 +51,7 @@ public class PingPongSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.getNoiseSeeded(seed++, x, y, z) + 1) * pingPongStrength);
double noise = pingPong((input.noise(seed++, x, y, z) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);

4
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/fractal/RidgedFractalSampler.java
View File

@@ -22,7 +22,7 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.getNoiseSeeded(seed++, x, y));
double noise = fastAbs(input.noise(seed++, x, y));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);
@@ -40,7 +40,7 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.getNoiseSeeded(seed++, x, y, z));
double noise = fastAbs(input.noise(seed++, x, y, z));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);

8
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/random/GaussianNoiseSampler.java
View File

@@ -24,8 +24,8 @@ public class GaussianNoiseSampler extends NoiseFunction {
public double getNoiseRaw(long seed, double x, double y) {
double v1, v2, s;
do {
v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
v1 = whiteNoiseSampler.noise(seed++, x, y);
v2 = whiteNoiseSampler.noise(seed++, x, y);
s = v1 * v1 + v2 * v2;
} while(s >= 1 || s == 0);
double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);
@@ -36,8 +36,8 @@ public class GaussianNoiseSampler extends NoiseFunction {
public double getNoiseRaw(long seed, double x, double y, double z) {
double v1, v2, s;
do {
v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
v1 = whiteNoiseSampler.noise(seed++, x, y, z);
v2 = whiteNoiseSampler.noise(seed++, x, y, z);
s = v1 * v1 + v2 * v2;
} while(s >= 1 || s == 0);
double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);