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add domain warp controls to FastNoiseLite

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dfsek
2021-01-15 00:03:01 -07:00
parent 25f6f3dbe1
commit 346a8826aa
5 changed files with 182 additions and 110 deletions
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common/src/main/java/com/dfsek/terra/api/math/noise/samplers/FastNoiseLite.java
+146 -96
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@@ -278,26 +278,28 @@ public class FastNoiseLite implements NoiseSampler {
private static final int PRIME_Y = 1136930381;
private static final int PRIME_Z = 1720413743;
private static final NoiseSampler CELLULAR_LOOKUP_DEFAULT = new FastNoiseLite();
private static final NoiseSampler DOMAIN_WARP_DEFAULT = new FastNoiseLite();
private static final long POSITIVE_POW1 = 0b01111111111L << 52; // Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
private int mSeed = 1337;
private double mFrequency = 0.01f;
private double mFrequency = 0.01;
private NoiseType mNoiseType = NoiseType.OpenSimplex2;
private RotationType3D mRotationType3D = RotationType3D.None;
private TransformType3D mTransformType3D = TransformType3D.DefaultOpenSimplex2;
private FractalType mFractalType = FractalType.None;
private int mOctaves = 3;
private double mLacunarity = 2.0f;
private double mLacunarity = 2.0;
private double mGain = 0.5f;
private double mWeightedStrength = 0.0f;
private double mPingPongStrength = 2.0f;
private double mFractalBounding = 1 / 1.75f;
private double mWeightedStrength = 0.0;
private double mPingPongStrength = 2.0;
private double mFractalBounding = 1 / 1.75;
private CellularDistanceFunction mCellularDistanceFunction = CellularDistanceFunction.EuclideanSq;
private CellularReturnType mCellularReturnType = CellularReturnType.Distance;
private double mCellularJitterModifier = 1.0f;
private DomainWarpType mDomainWarpType = DomainWarpType.OpenSimplex2;
private double mCellularJitterModifier = 1.0;
private DomainWarpType mDomainWarpType = DomainWarpType.None;
private TransformType3D mWarpTransformType3D = TransformType3D.DefaultOpenSimplex2;
private double mDomainWarpAmp = 1.0f;
private double mDomainWarpAmp = 1.0;
private NoiseSampler cellularNoiseLookup = CELLULAR_LOOKUP_DEFAULT;
private NoiseSampler domainWarpFunction = DOMAIN_WARP_DEFAULT;
/**
* Create new FastNoise object with default seed
@@ -330,7 +332,7 @@ public class FastNoiseLite implements NoiseSampler {
}
private static int fastRound(double f) {
return f >= 0 ? (int) (f + 0.5f) : (int) (f - 0.5f);
return f >= 0 ? (int) (f + 0.5f) : (int) (f - 0.5);
}
private static double lerp(double a, double b, double t) {
@@ -374,7 +376,7 @@ public class FastNoiseLite implements NoiseSampler {
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0f);
return hash * (1 / 2147483648.0);
}
private static double valCoord(int seed, int xPrimed, int yPrimed, int zPrimed) {
@@ -382,7 +384,7 @@ public class FastNoiseLite implements NoiseSampler {
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0f);
return hash * (1 / 2147483648.0);
}
private static double gradCoord(int seed, int xPrimed, int yPrimed, double xd, double yd) {
@@ -420,6 +422,14 @@ public class FastNoiseLite implements NoiseSampler {
this.cellularNoiseLookup = cellularNoiseLookup;
}
public NoiseSampler getDomainWarpFunction() {
return domainWarpFunction;
}
public void setDomainWarpFunction(NoiseSampler domainWarpFunction) {
this.domainWarpFunction = domainWarpFunction;
}
/**
* Sets seed used for all noise types
* <p>
@@ -527,7 +537,7 @@ public class FastNoiseLite implements NoiseSampler {
private void calculateFractalBounding() {
double gain = fastAbs(mGain);
double amp = gain;
double ampFractal = 1.0f;
double ampFractal = 1.0;
for(int i = 1; i < mOctaves; i++) {
ampFractal += amp;
amp *= gain;
@@ -627,6 +637,12 @@ public class FastNoiseLite implements NoiseSampler {
*/
@Override
public double getNoise(double x, double y) {
if(!mDomainWarpType.equals(DomainWarpType.None)) {
Vector2 dWarp = new Vector2(x, y);
domainWarp(dWarp);
x = dWarp.getX();
y = dWarp.getZ();
}
x *= mFrequency;
y *= mFrequency;
@@ -648,7 +664,7 @@ public class FastNoiseLite implements NoiseSampler {
switch(mFractalType) {
default:
return genNoiseSingle(mSeed, x, y);
return getNoiseSeeded(mSeed, x, y);
case FBm:
return genFractalFBm(x, y);
case Ridged:
@@ -665,6 +681,14 @@ public class FastNoiseLite implements NoiseSampler {
*/
@Override
public double getNoise(double x, double y, double z) {
if(!mDomainWarpType.equals(DomainWarpType.None)) {
Vector3 dWarp = new Vector3(x, y, z);
domainWarp(dWarp);
x = dWarp.getX();
y = dWarp.getY();
z = dWarp.getZ();
}
x *= mFrequency;
y *= mFrequency;
z *= mFrequency;
@@ -712,7 +736,7 @@ public class FastNoiseLite implements NoiseSampler {
switch(mFractalType) {
default:
return genNoiseSingle(mSeed, x, y, z);
return getNoiseSeeded(mSeed, x, y, z);
case FBm:
return genFractalFBm(x, y, z);
case Ridged:
@@ -764,7 +788,8 @@ public class FastNoiseLite implements NoiseSampler {
}
}
private double genNoiseSingle(int seed, double x, double y) {
@Override
public double getNoiseSeeded(int seed, double x, double y) {
switch(mNoiseType) {
case OpenSimplex2:
return singleSimplex(seed, x, y);
@@ -785,7 +810,8 @@ public class FastNoiseLite implements NoiseSampler {
}
}
private double genNoiseSingle(int seed, double x, double y, double z) {
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
switch(mNoiseType) {
case OpenSimplex2:
return singleOpenSimplex2(seed, x, y, z);
@@ -812,9 +838,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = genNoiseSingle(seed++, x, y);
double noise = getNoiseSeeded(seed++, x, y);
sum += noise * amp;
amp *= lerp(1.0f, fastMin(noise + 1, 2) * 0.5f, mWeightedStrength);
amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -830,9 +856,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = genNoiseSingle(seed++, x, y, z);
double noise = getNoiseSeeded(seed++, x, y, z);
sum += noise * amp;
amp *= lerp(1.0f, (noise + 1) * 0.5f, mWeightedStrength);
amp *= lerp(1.0, (noise + 1) * 0.5, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -849,9 +875,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = fastAbs(genNoiseSingle(seed++, x, y));
double noise = fastAbs(getNoiseSeeded(seed++, x, y));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0f, 1 - noise, mWeightedStrength);
amp *= lerp(1.0, 1 - noise, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -868,9 +894,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = fastAbs(genNoiseSingle(seed++, x, y, z));
double noise = fastAbs(getNoiseSeeded(seed++, x, y, z));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0f, 1 - noise, mWeightedStrength);
amp *= lerp(1.0, 1 - noise, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -887,9 +913,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = pingPong((genNoiseSingle(seed++, x, y) + 1) * mPingPongStrength);
sum += (noise - 0.5f) * 2 * amp;
amp *= lerp(1.0f, noise, mWeightedStrength);
double noise = pingPong((getNoiseSeeded(seed++, x, y) + 1) * mPingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -906,9 +932,9 @@ public class FastNoiseLite implements NoiseSampler {
double amp = mFractalBounding;
for(int i = 0; i < mOctaves; i++) {
double noise = pingPong((genNoiseSingle(seed++, x, y, z) + 1) * mPingPongStrength);
sum += (noise - 0.5f) * 2 * amp;
amp *= lerp(1.0f, noise, mWeightedStrength);
double noise = pingPong((getNoiseSeeded(seed++, x, y, z) + 1) * mPingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, mWeightedStrength);
x *= mLacunarity;
y *= mLacunarity;
@@ -921,7 +947,7 @@ public class FastNoiseLite implements NoiseSampler {
private double singleSimplex(int seed, double x, double y) {
// 2D OpenSimplex2 case uses the same algorithm as ordinary Simplex.
final double SQRT3 = 1.7320508075688772935274463415059f;
final double SQRT3 = 1.7320508075688772935274463415059;
final double G2 = (3 - SQRT3) / 6;
/*
@@ -945,7 +971,7 @@ public class FastNoiseLite implements NoiseSampler {
double n0, n1, n2;
double a = 0.5f - x0 * x0 - y0 * y0;
double a = 0.5 - x0 * x0 - y0 * y0;
if(a <= 0) n0 = 0;
else {
n0 = (a * a) * (a * a) * gradCoord(seed, i, j, x0, y0);
@@ -962,7 +988,7 @@ public class FastNoiseLite implements NoiseSampler {
if(y0 > x0) {
double x1 = x0 + G2;
double y1 = y0 + (G2 - 1);
double b = 0.5f - x1 * x1 - y1 * y1;
double b = 0.5 - x1 * x1 - y1 * y1;
if(b <= 0) n1 = 0;
else {
n1 = (b * b) * (b * b) * gradCoord(seed, i, j + PRIME_Y, x1, y1);
@@ -970,7 +996,7 @@ public class FastNoiseLite implements NoiseSampler {
} else {
double x1 = x0 + (G2 - 1);
double y1 = y0 + G2;
double b = 0.5f - x1 * x1 - y1 * y1;
double b = 0.5 - x1 * x1 - y1 * y1;
if(b <= 0) n1 = 0;
else {
n1 = (b * b) * (b * b) * gradCoord(seed, i + PRIME_X, j, x1, y1);
@@ -997,9 +1023,9 @@ public class FastNoiseLite implements NoiseSampler {
double y0 = y - j;
double z0 = z - k;
int xNSign = (int) (-1.0f - x0) | 1;
int yNSign = (int) (-1.0f - y0) | 1;
int zNSign = (int) (-1.0f - z0) | 1;
int xNSign = (int) (-1.0 - x0) | 1;
int yNSign = (int) (-1.0 - y0) | 1;
int zNSign = (int) (-1.0 - z0) | 1;
double ax0 = xNSign * -x0;
double ay0 = yNSign * -y0;
@@ -1039,15 +1065,15 @@ public class FastNoiseLite implements NoiseSampler {
if(l == 1) break;
ax0 = 0.5f - ax0;
ay0 = 0.5f - ay0;
az0 = 0.5f - az0;
ax0 = 0.5 - ax0;
ay0 = 0.5 - ay0;
az0 = 0.5 - az0;
x0 = xNSign * ax0;
y0 = yNSign * ay0;
z0 = zNSign * az0;
a += (0.75f - ax0) - (ay0 + az0);
a += (0.75 - ax0) - (ay0 + az0);
i += (xNSign >> 1) & PRIME_X;
j += (yNSign >> 1) & PRIME_Y;
@@ -1060,7 +1086,7 @@ public class FastNoiseLite implements NoiseSampler {
seed = ~seed;
}
return value * 32.69428253173828125f;
return value * 32.69428253173828125;
}
@SuppressWarnings("NumericOverflow")
@@ -1091,7 +1117,7 @@ public class FastNoiseLite implements NoiseSampler {
double x0 = xi - t;
double y0 = yi - t;
double a0 = (2.0f / 3.0f) - x0 * x0 - y0 * y0;
double a0 = (2.0 / 3.0) - x0 * x0 - y0 * y0;
double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i, j, x0, y0);
double a1 = 2 * (1 - 2 * G2) * (1 / G2 - 2) * t + ((-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a0);
@@ -1105,14 +1131,14 @@ public class FastNoiseLite implements NoiseSampler {
if(xi + xmyi > 1) {
double x2 = x0 + (3 * G2 - 2);
double y2 = y0 + (3 * G2 - 1);
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + (PRIME_X << 1), j + PRIME_Y, x2, y2);
}
} else {
double x2 = x0 + G2;
double y2 = y0 + (G2 - 1);
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
}
@@ -1121,14 +1147,14 @@ public class FastNoiseLite implements NoiseSampler {
if(yi - xmyi > 1) {
double x3 = x0 + (3 * G2 - 1);
double y3 = y0 + (3 * G2 - 2);
double a3 = (2.0f / 3.0f) - x3 * x3 - y3 * y3;
double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
if(a3 > 0) {
value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j + (PRIME_Y << 1), x3, y3);
}
} else {
double x3 = x0 + (G2 - 1);
double y3 = y0 + G2;
double a3 = (2.0f / 3.0f) - x3 * x3 - y3 * y3;
double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
if(a3 > 0) {
value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j, x3, y3);
}
@@ -1137,14 +1163,14 @@ public class FastNoiseLite implements NoiseSampler {
if(xi + xmyi < 0) {
double x2 = x0 + (1 - G2);
double y2 = y0 - G2;
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i - PRIME_X, j, x2, y2);
}
} else {
double x2 = x0 + (G2 - 1);
double y2 = y0 + G2;
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + PRIME_X, j, x2, y2);
}
@@ -1153,21 +1179,21 @@ public class FastNoiseLite implements NoiseSampler {
if(yi < xmyi) {
double x2 = x0 - G2;
double y2 = y0 - (G2 - 1);
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j - PRIME_Y, x2, y2);
}
} else {
double x2 = x0 + G2;
double y2 = y0 + (G2 - 1);
double a2 = (2.0f / 3.0f) - x2 * x2 - y2 * y2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
}
}
}
return value * 18.24196194486065f;
return value * 18.24196194486065;
}
// Fractal Ridged
@@ -1193,29 +1219,29 @@ public class FastNoiseLite implements NoiseSampler {
k *= PRIME_Z;
int seed2 = seed + 1293373;
int xNMask = (int) (-0.5f - xi);
int yNMask = (int) (-0.5f - yi);
int zNMask = (int) (-0.5f - zi);
int xNMask = (int) (-0.5 - xi);
int yNMask = (int) (-0.5 - yi);
int zNMask = (int) (-0.5 - zi);
double x0 = xi + xNMask;
double y0 = yi + yNMask;
double z0 = zi + zNMask;
double a0 = 0.75f - x0 * x0 - y0 * y0 - z0 * z0;
double a0 = 0.75 - x0 * x0 - y0 * y0 - z0 * z0;
double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y0,
z0);
double x1 = xi - 0.5f;
double y1 = yi - 0.5f;
double z1 = zi - 0.5f;
double a1 = 0.75f - x1 * x1 - y1 * y1 - z1 * z1;
double x1 = xi - 0.5;
double y1 = yi - 0.5;
double z1 = zi - 0.5;
double a1 = 0.75 - x1 * x1 - y1 * y1 - z1 * z1;
value += (a1 * a1) * (a1 * a1) * gradCoord(seed2, i + PRIME_X, j + PRIME_Y, k + PRIME_Z, x1, y1, z1);
double xAFlipMask0 = ((xNMask | 1) << 1) * x1;
double yAFlipMask0 = ((yNMask | 1) << 1) * y1;
double zAFlipMask0 = ((zNMask | 1) << 1) * z1;
double xAFlipMask1 = (-2 - (xNMask << 2)) * x1 - 1.0f;
double yAFlipMask1 = (-2 - (yNMask << 2)) * y1 - 1.0f;
double zAFlipMask1 = (-2 - (zNMask << 2)) * z1 - 1.0f;
double xAFlipMask1 = (-2 - (xNMask << 2)) * x1 - 1.0;
double yAFlipMask1 = (-2 - (yNMask << 2)) * y1 - 1.0;
double zAFlipMask1 = (-2 - (zNMask << 2)) * z1 - 1.0;
boolean skip5 = false;
double a2 = xAFlipMask0 + a0;
@@ -1316,7 +1342,7 @@ public class FastNoiseLite implements NoiseSampler {
}
}
return value * 9.046026385208288f;
return value * 9.046026385208288;
}
private double singleCellular(int seed, double x, double y) {
@@ -1327,7 +1353,7 @@ public class FastNoiseLite implements NoiseSampler {
double distance1 = Double.MAX_VALUE;
int closestHash = 0;
double cellularJitter = 0.43701595f * mCellularJitterModifier;
double cellularJitter = 0.43701595 * mCellularJitterModifier;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
@@ -1423,17 +1449,17 @@ public class FastNoiseLite implements NoiseSampler {
switch(mCellularReturnType) {
case CellValue:
return closestHash * (1 / 2147483648.0f);
return closestHash * (1 / 2147483648.0);
case Distance:
return distance0 - 1;
case Distance2:
return distance1 - 1;
case Distance2Add:
return (distance1 + distance0) * 0.5f - 1;
return (distance1 + distance0) * 0.5 - 1;
case Distance2Sub:
return distance1 - distance0 - 1;
case Distance2Mul:
return distance1 * distance0 * 0.5f - 1;
return distance1 * distance0 * 0.5 - 1;
case Distance2Div:
return distance0 / distance1 - 1;
case NoiseLookup:
@@ -1453,7 +1479,7 @@ public class FastNoiseLite implements NoiseSampler {
double distance1 = Double.MAX_VALUE;
int closestHash = 0;
double cellularJitter = 0.39614353f * mCellularJitterModifier;
double cellularJitter = 0.39614353 * mCellularJitterModifier;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
@@ -1573,17 +1599,17 @@ public class FastNoiseLite implements NoiseSampler {
switch(mCellularReturnType) {
case CellValue:
return closestHash * (1 / 2147483648.0f);
return closestHash * (1 / 2147483648.0);
case Distance:
return distance0 - 1;
case Distance2:
return distance1 - 1;
case Distance2Add:
return (distance1 + distance0) * 0.5f - 1;
return (distance1 + distance0) * 0.5 - 1;
case Distance2Sub:
return distance1 - distance0 - 1;
case Distance2Mul:
return distance1 * distance0 * 0.5f - 1;
return distance1 * distance0 * 0.5 - 1;
case Distance2Div:
return distance0 / distance1 - 1;
case NoiseLookup:
@@ -1613,7 +1639,7 @@ public class FastNoiseLite implements NoiseSampler {
double xf0 = lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
double xf1 = lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
return lerp(xf0, xf1, ys) * 1.4247691104677813f;
return lerp(xf0, xf1, ys) * 1.4247691104677813;
}
long murmur64(long h) {
@@ -1675,7 +1701,7 @@ public class FastNoiseLite implements NoiseSampler {
double yf0 = lerp(xf00, xf10, ys);
double yf1 = lerp(xf01, xf11, ys);
return lerp(yf0, yf1, zs) * 0.964921414852142333984375f;
return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
}
private double singleValueCubic(int seed, double x, double y) {
@@ -1703,7 +1729,7 @@ public class FastNoiseLite implements NoiseSampler {
xs),
cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
xs),
ys) * (1 / (1.5f * 1.5f));
ys) * (1 / (1.5 * 1.5));
}
// OpenSimplex2S Noise
@@ -1771,7 +1797,7 @@ public class FastNoiseLite implements NoiseSampler {
cubicLerp(valCoord(seed, x0, y3, z3), valCoord(seed, x1, y3, z3), valCoord(seed, x2, y3, z3),
valCoord(seed, x3, y3, z3), xs),
ys),
zs) * (1 / (1.5f * 1.5f * 1.5f));
zs) * (1 / (1.5 * 1.5 * 1.5));
}
private double singleValue(int seed, double x, double y) {
@@ -1823,14 +1849,17 @@ public class FastNoiseLite implements NoiseSampler {
private void doSingleDomainWarp(int seed, double amp, double freq, double x, double y, Vector2 coord) {
switch(mDomainWarpType) {
case OpenSimplex2:
singleDomainWarpSimplexGradient(seed, amp * 38.283687591552734375f, freq, x, y, coord, false);
singleDomainWarpSimplexGradient(seed, amp * 38.283687591552734375, freq, x, y, coord, false);
break;
case OpenSimplex2Reduced:
singleDomainWarpSimplexGradient(seed, amp * 16.0f, freq, x, y, coord, true);
singleDomainWarpSimplexGradient(seed, amp * 16.0, freq, x, y, coord, true);
break;
case BasicGrid:
singleDomainWarpBasicGrid(seed, amp, freq, x, y, coord);
break;
case Function:
singleFunctionDomainWarp(seed, amp, x, y, freq, coord);
break;
}
}
@@ -1840,17 +1869,36 @@ public class FastNoiseLite implements NoiseSampler {
Vector3 coord) {
switch(mDomainWarpType) {
case OpenSimplex2:
singleDomainWarpOpenSimplex2Gradient(seed, amp * 32.69428253173828125f, freq, x, y, z, coord, false);
singleDomainWarpOpenSimplex2Gradient(seed, amp * 32.69428253173828125, freq, x, y, z, coord, false);
break;
case OpenSimplex2Reduced:
singleDomainWarpOpenSimplex2Gradient(seed, amp * 7.71604938271605f, freq, x, y, z, coord, true);
singleDomainWarpOpenSimplex2Gradient(seed, amp * 7.71604938271605, freq, x, y, z, coord, true);
break;
case BasicGrid:
singleDomainWarpBasicGrid(seed, amp, freq, x, y, z, coord);
break;
case Function:
singleFunctionDomainWarp(seed, amp, x, y, z, freq, coord);
break;
}
}
private void singleFunctionDomainWarp(int seed, double amp, double x, double y, double freq, Vector2 coord) {
x *= freq;
y *= freq;
coord.add(domainWarpFunction.getNoiseSeeded(seed + 1, x, y) * amp,
domainWarpFunction.getNoiseSeeded(seed + 2, x, y) * amp);
}
private void singleFunctionDomainWarp(int seed, double amp, double x, double y, double z, double freq, Vector3 coord) {
x *= freq;
y *= freq;
z *= freq;
coord.add(domainWarpFunction.getNoiseSeeded(seed + 1, x, y, z) * amp,
domainWarpFunction.getNoiseSeeded(seed + 3, x, y, z) * amp,
domainWarpFunction.getNoiseSeeded(seed + 2, x, y, z) * amp);
}
private void domainWarpSingle(Vector2 coord) {
int seed = mSeed;
double amp = mDomainWarpAmp * mFractalBounding;
@@ -1865,7 +1913,7 @@ public class FastNoiseLite implements NoiseSampler {
case OpenSimplex2Reduced: {
final double SQRT3 = 1.7320508075688772935274463415059;
final double F2 = 0.5f * (SQRT3 - 1);
final double F2 = 0.5 * (SQRT3 - 1);
double t = (xs + ys) * F2;
xs += t;
@@ -1950,7 +1998,7 @@ public class FastNoiseLite implements NoiseSampler {
case OpenSimplex2Reduced: {
final double SQRT3 = 1.7320508075688772935274463415059;
final double F2 = 0.5f * (SQRT3 - 1);
final double F2 = 0.5 * (SQRT3 - 1);
double t = (xs + ys) * F2;
xs += t;
@@ -2042,7 +2090,7 @@ public class FastNoiseLite implements NoiseSampler {
case OpenSimplex2Reduced: {
final double SQRT3 = 1.7320508075688772935274463415059;
final double F2 = 0.5f * (SQRT3 - 1);
final double F2 = 0.5 * (SQRT3 - 1);
double t = (xs + ys) * F2;
xs += t;
@@ -2227,7 +2275,7 @@ public class FastNoiseLite implements NoiseSampler {
// Domain Warp Simplex/OpenSimplex2
private void singleDomainWarpSimplexGradient(int seed, double warpAmp, double frequency, double x, double y,
Vector2 coord, boolean outGradOnly) {
final double SQRT3 = 1.7320508075688772935274463415059f;
final double SQRT3 = 1.7320508075688772935274463415059;
final double G2 = (3 - SQRT3) / 6;
x *= frequency;
@@ -2255,7 +2303,7 @@ public class FastNoiseLite implements NoiseSampler {
double vx, vy;
vx = vy = 0;
double a = 0.5f - x0 * x0 - y0 * y0;
double a = 0.5 - x0 * x0 - y0 * y0;
if(a > 0) {
double aaaa = (a * a) * (a * a);
double xo, yo;
@@ -2308,7 +2356,7 @@ public class FastNoiseLite implements NoiseSampler {
if(y0 > x0) {
double x1 = x0 + G2;
double y1 = y0 + (G2 - 1);
double b = 0.5f - x1 * x1 - y1 * y1;
double b = 0.5 - x1 * x1 - y1 * y1;
if(b > 0) {
double bbbb = (b * b) * (b * b);
double xo, yo;
@@ -2334,7 +2382,7 @@ public class FastNoiseLite implements NoiseSampler {
} else {
double x1 = x0 + (G2 - 1);
double y1 = y0 + G2;
double b = 0.5f - x1 * x1 - y1 * y1;
double b = 0.5 - x1 * x1 - y1 * y1;
if(b > 0) {
double bbbb = (b * b) * (b * b);
double xo, yo;
@@ -2384,9 +2432,9 @@ public class FastNoiseLite implements NoiseSampler {
double y0 = y - j;
double z0 = z - k;
int xNSign = (int) (-x0 - 1.0f) | 1;
int yNSign = (int) (-y0 - 1.0f) | 1;
int zNSign = (int) (-z0 - 1.0f) | 1;
int xNSign = (int) (-x0 - 1.0) | 1;
int yNSign = (int) (-y0 - 1.0) | 1;
int zNSign = (int) (-z0 - 1.0) | 1;
double ax0 = xNSign * -x0;
double ay0 = yNSign * -y0;
@@ -2399,7 +2447,7 @@ public class FastNoiseLite implements NoiseSampler {
double vx, vy, vz;
vx = vy = vz = 0;
double a = (0.6f - x0 * x0) - (y0 * y0 + z0 * z0);
double a = (0.6 - x0 * x0) - (y0 * y0 + z0 * z0);
for(int l = 0; ; l++) {
if(a > 0) {
double aaaa = (a * a) * (a * a);
@@ -2482,15 +2530,15 @@ public class FastNoiseLite implements NoiseSampler {
if(l == 1) break;
ax0 = 0.5f - ax0;
ay0 = 0.5f - ay0;
az0 = 0.5f - az0;
ax0 = 0.5 - ax0;
ay0 = 0.5 - ay0;
az0 = 0.5 - az0;
x0 = xNSign * ax0;
y0 = yNSign * ay0;
z0 = zNSign * az0;
a += (0.75f - ax0) - (ay0 + az0);
a += (0.75 - ax0) - (ay0 + az0);
i += (xNSign >> 1) & PRIME_X;
j += (yNSign >> 1) & PRIME_Y;
@@ -2562,7 +2610,9 @@ public class FastNoiseLite implements NoiseSampler {
public enum DomainWarpType {
OpenSimplex2,
OpenSimplex2Reduced,
BasicGrid
BasicGrid,
Function,
None
}
common/src/main/java/com/dfsek/terra/api/math/noise/samplers/NoiseSampler.java
+4
View File
@@ -25,4 +25,8 @@ public interface NoiseSampler {
default double getNoise(Vector2 vector2) {
return getNoise(vector2.getX(), vector2.getZ());
}
double getNoiseSeeded(int seed, double x, double y);
double getNoiseSeeded(int seed, double x, double y, double z);
}
common/src/main/java/com/dfsek/terra/api/math/noise/samplers/Normalizer.java
+10
View File
@@ -19,6 +19,16 @@ public abstract class Normalizer implements NoiseSampler {
return normalize(sampler.getNoise(x, y, z));
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return normalize(sampler.getNoiseSeeded(seed, x, y));
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return normalize(sampler.getNoiseSeeded(seed, x, y, z));
}
public enum NormalType {
LINEAR, NONE
}