start moving to int vector impls where possible

This commit is contained in:
dfsek
2021-11-24 13:54:43 -07:00
parent ba7722ce45
commit b04f7cfc55
15 changed files with 196 additions and 31 deletions

View File

@@ -237,7 +237,8 @@ public class CellularSampler extends NoiseFunction {
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
Vector2 center = new Vector2(x, y);
double centerX = x;
double centerY = y;
switch(distanceFunction) {
default:
@@ -259,8 +260,8 @@ public class CellularSampler extends NoiseFunction {
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
@@ -289,8 +290,8 @@ public class CellularSampler extends NoiseFunction {
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
@@ -319,8 +320,8 @@ public class CellularSampler extends NoiseFunction {
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
@@ -349,7 +350,7 @@ 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.getZ());
case NoiseLookup -> noiseLookup.getNoiseSeeded(sl, centerX, centerY);
case Distance3 -> distance2 - 1;
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
case Distance3Sub -> distance2 - distance0 - 1;