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Update lerp usage and docs
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+6
-16
@@ -7,6 +7,9 @@
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package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
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import com.dfsek.terra.api.util.MathUtil;
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/**
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* Class for bilinear interpolation of values arranged on a unit square.
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*/
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@@ -28,19 +31,6 @@ public class Interpolator {
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this.v3 = v3;
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}
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/**
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* 1D Linear interpolation between 2 points 1 unit apart.
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*
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* @param t - Distance from v0. Total distance between v0 and v1 is 1 unit.
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* @param v0 - Value at v0.
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* @param v1 - Value at v1.
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*
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* @return double - The interpolated value.
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*/
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public static double lerp(double t, double v0, double v1) {
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return v0 + t * (v1 - v0);
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}
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/**
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* 2D Bilinear interpolation between 4 points on a unit square.
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*
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@@ -50,8 +40,8 @@ public class Interpolator {
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* @return double - The interpolated value.
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*/
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public double bilerp(double s, double t) {
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double v01 = lerp(s, v0, v1);
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double v23 = lerp(s, v2, v3);
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return lerp(t, v01, v23);
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double v01 = MathUtil.lerp(s, v0, v1);
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double v23 = MathUtil.lerp(s, v2, v3);
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return MathUtil.lerp(t, v01, v23);
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}
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}
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+4
-1
@@ -7,6 +7,9 @@
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package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
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import com.dfsek.terra.api.util.MathUtil;
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/**
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* Class for bilinear interpolation of values arranged on a unit square.
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*/
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@@ -34,6 +37,6 @@ public class Interpolator3 {
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}
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public double trilerp(double x, double y, double z) {
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return Interpolator.lerp(x, top.bilerp(y, z), bottom.bilerp(y, z));
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return MathUtil.lerp(x, top.bilerp(y, z), bottom.bilerp(y, z));
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}
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}
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+8
-10
@@ -2,11 +2,9 @@ package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
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import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
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import com.dfsek.terra.api.properties.PropertyKey;
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import com.dfsek.terra.api.util.MathUtil;
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import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
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import static com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.Interpolator.lerp;
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public class LazilyEvaluatedInterpolator {
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private final Double[] samples; //
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@@ -82,10 +80,10 @@ public class LazilyEvaluatedInterpolator {
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double xFrac = (double) (x % horizontalRes) / horizontalRes;
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double zFrac = (double) (z % horizontalRes) / horizontalRes;
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double lerp_bottom_0 = lerp(zFrac, sample_0_0_0, sample_0_0_1);
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double lerp_bottom_1 = lerp(zFrac, sample_1_0_0, sample_1_0_1);
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double lerp_bottom_0 = MathUtil.lerp(zFrac, sample_0_0_0, sample_0_0_1);
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double lerp_bottom_1 = MathUtil.lerp(zFrac, sample_1_0_0, sample_1_0_1);
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double lerp_bottom = lerp(xFrac, lerp_bottom_0, lerp_bottom_1);
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double lerp_bottom = MathUtil.lerp(xFrac, lerp_bottom_0, lerp_bottom_1);
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if(yRange) { // we can do bilerp
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return lerp_bottom;
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@@ -101,11 +99,11 @@ public class LazilyEvaluatedInterpolator {
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double sample_1_1_0 = sample(xIndex + 1, yIndex + 1, zIndex, x + horizontalRes, y + verticalRes, z);
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double sample_1_1_1 = sample(xIndex + 1, yIndex + 1, zIndex + 1, x + horizontalRes, y + verticalRes, z + horizontalRes);
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double lerp_top_0 = lerp(zFrac, sample_0_1_0, sample_0_1_1);
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double lerp_top_1 = lerp(zFrac, sample_1_1_0, sample_1_1_1);
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double lerp_top_0 = MathUtil.lerp(zFrac, sample_0_1_0, sample_0_1_1);
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double lerp_top_1 = MathUtil.lerp(zFrac, sample_1_1_0, sample_1_1_1);
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double lerp_top = lerp(xFrac, lerp_top_0, lerp_top_1);
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double lerp_top = MathUtil.lerp(xFrac, lerp_top_0, lerp_top_1);
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return lerp(yFrac, lerp_bottom, lerp_top);
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return MathUtil.lerp(yFrac, lerp_bottom, lerp_top);
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}
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}
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