move derivative method to PaletteUtil

This commit is contained in:
dfsek
2021-12-04 19:03:25 -07:00
parent df16edac7f
commit dc88c322fb
2 changed files with 19 additions and 21 deletions

View File

@@ -9,16 +9,20 @@ package com.dfsek.terra.addons.chunkgenerator.generation.math;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.util.math.Sampler;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public final class PaletteUtil {
/**
* Derivative constant.
*/
private static final double DERIVATIVE_DIST = 0.55;
public static Palette getPalette(int x, int y, int z, Sampler sampler, PaletteInfo paletteInfo) {
SlantHolder slant = paletteInfo.getSlantHolder();
if(slant != null) {
double slope = MathUtil.derivative(sampler, x, y, z);
double slope = derivative(sampler, x, y, z);
if(slope > slant.getMinSlope()) {
return slant.getPalette(slope).getPalette(y);
}
@@ -26,4 +30,17 @@ public final class PaletteUtil {
return paletteInfo.getPaletteHolder().getPalette(y);
}
public static double derivative(Sampler sampler, double x, double y, double z) {
double baseSample = sampler.sample(x, y, z);
double xVal1 = (sampler.sample(x + DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double xVal2 = (sampler.sample(x - DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double zVal1 = (sampler.sample(x, y, z + DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double zVal2 = (sampler.sample(x, y, z - DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double yVal1 = (sampler.sample(x, y + DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
double yVal2 = (sampler.sample(x, y - DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
return Math.sqrt(((xVal2 - xVal1) * (xVal2 - xVal1)) + ((zVal2 - zVal1) * (zVal2 - zVal1)) + ((yVal2 - yVal1) * (yVal2 - yVal1)));
}
}

View File

@@ -11,8 +11,6 @@ import net.jafama.FastMath;
import java.util.List;
import com.dfsek.terra.api.util.math.Sampler;
/**
* Utility class for mathematical functions.
@@ -22,10 +20,6 @@ public final class MathUtil {
* Epsilon for fuzzy floating point comparisons.
*/
public static final double EPSILON = 1.0E-5;
/**
* Derivative constant.
*/
private static final double DERIVATIVE_DIST = 0.55;
/**
* Gets the standard deviation of an array of doubles.
@@ -74,19 +68,6 @@ public final class MathUtil {
return a == b || FastMath.abs(a - b) < EPSILON;
}
public static double derivative(Sampler sampler, double x, double y, double z) {
double baseSample = sampler.sample(x, y, z);
double xVal1 = (sampler.sample(x + DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double xVal2 = (sampler.sample(x - DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double zVal1 = (sampler.sample(x, y, z + DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double zVal2 = (sampler.sample(x, y, z - DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double yVal1 = (sampler.sample(x, y + DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
double yVal2 = (sampler.sample(x, y - DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
return Math.sqrt(((xVal2 - xVal1) * (xVal2 - xVal1)) + ((zVal2 - zVal1) * (zVal2 - zVal1)) + ((yVal2 - yVal1) * (yVal2 - yVal1)));
}
public static int normalizeIndex(double val, int size) {
return FastMath.max(FastMath.min(FastMath.floorToInt(((val + 1D) / 2D) * size), size - 1), 0);
}