Noise context api

Math.pow(x, -1) seems to be faster than 1/x on my machine
more opt and fix bug
2026-05-20 08:40:26 +00:00 · 2023-10-08 15:58:59 -06:00 · 2023-10-08 01:32:43 -06:00 · 2023-10-08 01:14:11 -06:00 · 2023-10-07 23:19:21 -06:00 · 2023-10-07 22:44:19 -06:00
166 changed files with 1212 additions and 820 deletions
@@ -11,9 +11,9 @@ object Versions {
        object Internal {
            const val apacheText = "1.9"
            const val jafama = "2.3.2"
            const val apacheIO = "2.6"
            const val fastutil = "8.5.6"
            const val cpuFeaturesJava = "1.0.1"
        }
    }
@@ -3,10 +3,6 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    compileOnlyApi(project(":common:addons:library-image"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
-tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
+
-    relocate("net.jafama", "com.dfsek.terra.addons.biome.image.lib.jafama")
+}
 }
@@ -9,8 +9,8 @@ package com.dfsek.terra.addons.biome.image.v2;
 import java.util.Optional;
 import com.dfsek.terra.addons.image.converter.ColorConverter;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.converter.ColorConverter;
 import com.dfsek.terra.api.world.biome.Biome;
 import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -13,8 +13,8 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
 import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import com.dfsek.terra.addons.biome.image.v2.ImageBiomeProvider;
 import com.dfsek.terra.addons.image.converter.ColorConverter;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.converter.ColorConverter;
 import com.dfsek.terra.api.world.biome.Biome;
 import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -2,10 +2,6 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
-tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
+
-    relocate("net.jafama", "com.dfsek.terra.addons.biome.image.lib.jafama")
+}
 }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.biome.image;
 import net.jafama.FastMath;
 import java.awt.Color;
 import java.awt.image.BufferedImage;
 import java.util.HashMap;
@@ -34,7 +32,7 @@ public class ImageBiomeProvider implements BiomeProvider {
    }
    private static int distance(Color a, Color b) {
-        return FastMath.abs(a.getRed() - b.getRed()) + FastMath.abs(a.getGreen() - b.getGreen()) + FastMath.abs(a.getBlue() - b.getBlue());
+        return Math.abs(a.getRed() - b.getRed()) + Math.abs(a.getGreen() - b.getGreen()) + Math.abs(a.getBlue() - b.getBlue());
    }
    @Override
@@ -70,14 +68,14 @@ public class ImageBiomeProvider implements BiomeProvider {
        CENTER {
            @Override
            public Color getColor(BufferedImage image, int x, int z) {
-                return new Color(image.getRGB(FastMath.floorMod(x - image.getWidth() / 2, image.getWidth()),
+                return new Color(image.getRGB(Math.floorMod(x - image.getWidth() / 2, image.getWidth()),
-                                              FastMath.floorMod(z - image.getHeight() / 2, image.getHeight())));
+                                              Math.floorMod(z - image.getHeight() / 2, image.getHeight())));
            }
        },
        NONE {
            @Override
            public Color getColor(BufferedImage image, int x, int z) {
-                return new Color(image.getRGB(FastMath.floorMod(x, image.getWidth()), FastMath.floorMod(z, image.getHeight())));
+                return new Color(image.getRGB(Math.floorMod(x, image.getWidth()), Math.floorMod(z, image.getHeight())));
            }
        };
@@ -2,11 +2,4 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
 }
@@ -11,6 +11,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import java.util.function.Supplier;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.BiomePipelineTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.PipelineBiomeLoader;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.source.SamplerSourceTemplate;
@@ -20,9 +23,6 @@ import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.BorderStage
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceListStageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceStageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.SmoothStageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.manifest.api.AddonInitializer;
 import com.dfsek.terra.api.Platform;
 import com.dfsek.terra.api.addon.BaseAddon;
@@ -1,13 +1,7 @@
 package com.dfsek.terra.addons.biome.pipeline.v2;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Pipeline;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.github.benmanes.caffeine.cache.Caffeine;
 import com.github.benmanes.caffeine.cache.LoadingCache;
 import net.jafama.FastMath;
 import java.util.Comparator;
 import java.util.HashSet;
@@ -15,6 +9,11 @@ import java.util.Optional;
 import java.util.Set;
 import java.util.stream.StreamSupport;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Pipeline;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.registry.key.StringIdentifiable;
 import com.dfsek.terra.api.util.Column;
@@ -81,8 +80,8 @@ public class PipelineBiomeProvider implements BiomeProvider {
        x /= resolution;
        z /= resolution;
-        int chunkX = FastMath.floorDiv(x, chunkSize);
+        int chunkX = Math.floorDiv(x, chunkSize);
-        int chunkZ = FastMath.floorDiv(z, chunkSize);
+        int chunkZ = Math.floorDiv(z, chunkSize);
        int chunkWorldX = chunkX * chunkSize;
        int chunkWorldZ = chunkZ * chunkSize;
@@ -1,7 +1,7 @@
 package com.dfsek.terra.addons.biome.pipeline.v2.api;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
 /**
@@ -1,7 +1,7 @@
 package com.dfsek.terra.addons.biome.pipeline.v2.api;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
 public interface Stage {
@@ -15,9 +15,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import java.util.List;
 import com.dfsek.terra.addons.biome.pipeline.v2.PipelineBiomeProvider;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -7,8 +7,8 @@
 package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.expander;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.expander.FractalExpander;
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
 import java.util.Map;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderListStage;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderStage;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
 import java.util.Map;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceListStage;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceStage;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -7,8 +7,8 @@
 package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
 import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.SmoothStage;
@@ -1,13 +1,12 @@
 package com.dfsek.terra.addons.biome.pipeline.v2.pipeline;
 import java.util.List;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import net.jafama.FastMath;
 import java.util.List;
 public class BiomeChunkImpl implements BiomeChunk {
@@ -111,7 +110,7 @@ public class BiomeChunkImpl implements BiomeChunk {
        // chunk samples points on the same overall grid.
        // Without this, shared chunk borders (required because of adjacent cell reads) will not be identical
        // because points would be sampled on grids at different offsets, resulting in artifacts at borders.
-        return FastMath.ceilToInt((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
+        return (int) Math.ceil((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
    }
    private static int calculateFinalGridOrigin(int totalExpanderCount, List<Stage> stages) {
@@ -3,8 +3,8 @@ package com.dfsek.terra.addons.biome.pipeline.v2.source;
 import java.util.Collections;
 import java.util.Set;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
 import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
 public class SingleSource implements Source {
@@ -2,11 +2,4 @@ version = version("1.0.1")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
 }
@@ -9,7 +9,6 @@ package com.dfsek.terra.addons.biome.pipeline;
 import com.github.benmanes.caffeine.cache.Caffeine;
 import com.github.benmanes.caffeine.cache.LoadingCache;
 import net.jafama.FastMath;
 import java.util.Comparator;
 import java.util.HashSet;
@@ -86,8 +85,8 @@ public class BiomePipelineProvider implements BiomeProvider {
        x /= resolution;
        z /= resolution;
-        int fdX = FastMath.floorDiv(x, pipeline.getSize());
+        int fdX = Math.floorDiv(x, pipeline.getSize());
-        int fdZ = FastMath.floorDiv(z, pipeline.getSize());
+        int fdZ = Math.floorDiv(z, pipeline.getSize());
        return holderCache.get(new SeededVector(fdX, fdZ, seed)).getBiome(x - fdX * pipeline.getSize(),
                                                                          z - fdZ * pipeline.getSize()).getBiome();
    }
@@ -2,11 +2,4 @@ version = version("1.2.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.chunkgenerator.lib.jafama")
 }
@@ -16,8 +16,8 @@ import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
 import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
 import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
 import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
 import com.dfsek.terra.api.Platform;
 import com.dfsek.terra.api.block.state.BlockState;
@@ -8,15 +8,14 @@
 package com.dfsek.terra.addons.chunkgenerator.generation;
 import net.jafama.FastMath;
 import org.jetbrains.annotations.NotNull;
 import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
 import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.PaletteUtil;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.LazilyEvaluatedInterpolator;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.SamplerProvider;
 import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
 import com.dfsek.terra.api.Platform;
 import com.dfsek.terra.api.block.state.BlockState;
 import com.dfsek.terra.api.config.ConfigPack;
@@ -133,8 +132,8 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
        BiomePaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
-        int fdX = FastMath.floorMod(x, 16);
+        int fdX = Math.floorMod(x, 16);
-        int fdZ = FastMath.floorMod(z, 16);
+        int fdZ = Math.floorMod(z, 16);
        Palette palette = PaletteUtil.getPalette(fdX, y, fdZ, sampler, paletteInfo, 0);
        double noise = sampler.sample(fdX, y, fdZ);
@@ -156,8 +155,8 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
    }
    public double getSlant(int x, int y, int z, WorldProperties world, BiomeProvider biomeProvider) {
-        int fdX = FastMath.floorMod(x, 16);
+        int fdX = Math.floorMod(x, 16);
-        int fdZ = FastMath.floorMod(z, 16);
+        int fdZ = Math.floorMod(z, 16);
        return biomeProvider.getBiome(x, y, z, world.getSeed())
                            .getContext()
                            .get(paletteInfoPropertyKey)
@@ -7,8 +7,8 @@
 package com.dfsek.terra.addons.chunkgenerator.generation.math;
 import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
 import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
 import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
 import com.dfsek.terra.api.world.chunk.generation.util.Palette;
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
 import com.dfsek.terra.api.properties.PropertyKey;
 import com.dfsek.terra.api.util.Column;
@@ -134,7 +132,7 @@ public class ChunkInterpolator {
    }
    private static int reRange(int value, int high) {
-        return FastMath.max(FastMath.min(value, high), 0);
+        return Math.max(Math.min(value, high), 0);
    }
    /**
@@ -146,7 +144,7 @@ public class ChunkInterpolator {
     * @return double - The interpolated noise at the coordinates.
     */
    public double getNoise(double x, double y, double z) {
-        return interpGrid[reRange(((int) x) / 4, 3)][(FastMath.max(FastMath.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
+        return interpGrid[reRange(((int) x) / 4, 3)][(Math.max(Math.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
                                                                                                                          3)].trilerp(
                (x % 4) / 4, (y % 4) / 4, (z % 4) / 4);
    }
@@ -1,7 +1,5 @@
 package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
 import com.dfsek.terra.api.properties.PropertyKey;
 import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -30,8 +28,8 @@ public class LazilyEvaluatedInterpolator {
                                       PropertyKey<BiomeNoiseProperties> noisePropertiesKey, int min, int horizontalRes, int verticalRes,
                                       long seed) {
        this.noisePropertiesKey = noisePropertiesKey;
-        int hSamples = FastMath.ceilToInt(16.0 / horizontalRes);
+        int hSamples = (int) Math.ceil(16.0 / horizontalRes);
-        int vSamples = FastMath.ceilToInt((double) (max - min) / verticalRes);
+        int vSamples = (int) Math.ceil((double) (max - min) / verticalRes);
        this.zMul = (hSamples + 1);
        this.yMul = zMul * zMul;
        samples = new Double[yMul * (vSamples + 1)];
@@ -52,7 +50,7 @@ public class LazilyEvaluatedInterpolator {
            int xi = ox + chunkX;
            int zi = oz + chunkZ;
-            int y = FastMath.min(max, oy);
+            int y = Math.min(max, oy);
            sample = biomeProvider
                    .getBiome(xi, y, zi, seed)
@@ -93,7 +91,7 @@ public class LazilyEvaluatedInterpolator {
            return lerp_bottom;
        }
-        double yFrac = (double) FastMath.floorMod(y, verticalRes) / verticalRes;
+        double yFrac = (double) Math.floorMod(y, verticalRes) / verticalRes;
        double sample_0_1_0 = sample(xIndex, yIndex + 1, zIndex, x, y + verticalRes, z);
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ChunkInterpolator;
 import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ElevationInterpolator;
@@ -28,10 +26,10 @@ public class Sampler3D {
    }
    public double sample(double x, double y, double z) {
-        return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
+        return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation((int) Math.round(x), (int) Math.round(z));
    }
    public double sample(int x, int y, int z) {
-        return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
+        return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(x, z);
    }
 }
@@ -19,7 +19,6 @@ package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
 import com.github.benmanes.caffeine.cache.Cache;
 import com.github.benmanes.caffeine.cache.Caffeine;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
 import com.dfsek.terra.api.Platform;
@@ -45,8 +44,8 @@ public class SamplerProvider {
    }
    public Sampler3D get(int x, int z, WorldProperties world, BiomeProvider provider) {
-        int cx = FastMath.floorDiv(x, 16);
+        int cx = Math.floorDiv(x, 16);
-        int cz = FastMath.floorDiv(z, 16);
+        int cz = Math.floorDiv(z, 16);
        return getChunk(cx, cz, world, provider);
    }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.chunkgenerator.palette;
 import net.jafama.FastMath;
 import java.util.List;
 import java.util.Map;
 import java.util.Map.Entry;
@@ -55,11 +53,11 @@ public class PaletteHolder {
        public PaletteHolder build() {
-            int min = FastMath.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
+            int min = Math.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
-            int max = FastMath.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
+            int max = Math.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
            Palette[] palettes = new Palette[paletteMap.lastKey() + 1 - min];
-            for(int y = min; y <= FastMath.max(paletteMap.lastKey(), max); y++) {
+            for(int y = min; y <= Math.max(paletteMap.lastKey(), max); y++) {
                Palette d = null;
                for(Entry<Integer, Palette> e : paletteMap.entrySet()) {
                    if(e.getKey() >= y) {
@@ -2,11 +2,4 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.feature.distributor.lib.jafama")
 }
@@ -1,7 +1,5 @@
 package com.dfsek.terra.addons.feature.distributor.distributors;
 import net.jafama.FastMath;
 import java.util.Random;
 import com.dfsek.terra.api.structure.feature.Distributor;
@@ -21,21 +19,12 @@ public class PaddedGridDistributor implements Distributor {
        this.cellWidth = width + padding;
    }
    private static long murmur64(long h) {
        h ^= h >>> 33;
        h *= 0xff51afd7ed558ccdL;
        h ^= h >>> 33;
        h *= 0xc4ceb9fe1a85ec53L;
        h ^= h >>> 33;
        return h;
    }
    @Override
    public boolean matches(int x, int z, long seed) {
-        int cellX = FastMath.floorDiv(x, cellWidth);
+        int cellX = Math.floorDiv(x, cellWidth);
-        int cellZ = FastMath.floorDiv(z, cellWidth);
+        int cellZ = Math.floorDiv(z, cellWidth);
-        Random random = new Random((murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
+        Random random = new Random((MathUtil.murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
        int pointX = random.nextInt(width) + cellX * cellWidth;
        int pointZ = random.nextInt(width) + cellZ * cellWidth;
@@ -2,10 +2,4 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.flora.lib.jafama")
 }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.flora.flora.gen;
 import net.jafama.FastMath;
 import java.util.ArrayList;
 import java.util.EnumSet;
 import java.util.List;
@@ -60,7 +58,7 @@ public class TerraFlora implements Structure {
    }
    private ProbabilityCollection<BlockState> getStateCollection(int layer) {
-        return layers.get(FastMath.max(FastMath.min(layer, layers.size() - 1), 0));
+        return layers.get(Math.max(Math.min(layer, layers.size() - 1), 0));
    }
    private EnumSet<Direction> getFaces(Vector3Int b, WritableWorld world) {
@@ -82,8 +80,8 @@ public class TerraFlora implements Structure {
                Direction.class);
        if(doRotation && faces.size() == 0) return false; // Don't plant if no faces are valid.
-        for(int i = 0; FastMath.abs(i) < size; i += c) { // Down if ceiling, up if floor
+        for(int i = 0; Math.abs(i) < size; i += c) { // Down if ceiling, up if floor
-            int lvl = (FastMath.abs(i));
+            int lvl = (Math.abs(i));
            BlockState data = getStateCollection((ceiling ? lvl : size - lvl - 1)).get(distribution, location.getX(), location.getY(),
                                                                                       location.getZ(), world.getSeed());
            if(doRotation) {
@@ -2,11 +2,4 @@ version = version("1.1.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
-    
+}
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.feature.locator.lib.jafama")
 }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.feature.locator.locators;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.feature.locator.patterns.Pattern;
 import com.dfsek.terra.api.structure.feature.BinaryColumn;
 import com.dfsek.terra.api.structure.feature.Locator;
@@ -27,8 +25,8 @@ public class PatternLocator implements Locator {
    @Override
    public BinaryColumn getSuitableCoordinates(Column<?> column) {
-        int min = FastMath.max(column.getMinY(), search.getMin());
+        int min = Math.max(column.getMinY(), search.getMin());
-        int max = FastMath.min(column.getMaxY(), search.getMax());
+        int max = Math.min(column.getMaxY(), search.getMax());
        if(min >= max) return BinaryColumn.getNull();
        return new BinaryColumn(min, max, y -> pattern.matches(y, column));
    }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.feature.locator.locators;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.structure.feature.BinaryColumn;
 import com.dfsek.terra.api.structure.feature.Locator;
 import com.dfsek.terra.api.util.Range;
@@ -26,8 +24,8 @@ public class SurfaceLocator implements Locator {
    @Override
    public BinaryColumn getSuitableCoordinates(Column<?> column) {
        BinaryColumnBuilder builder = column.newBinaryColumn();
-        int max = FastMath.min(search.getMax(), column.getMaxY());
+        int max = Math.min(search.getMax(), column.getMaxY());
-        int min = FastMath.max(search.getMin(), column.getMinY());
+        int min = Math.max(search.getMin(), column.getMinY());
        if(min >= max) return builder.build();
        for(int y = min; y < max; y++) {
            if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.feature.locator.patterns;
 import net.jafama.FastMath;
 import java.util.function.Predicate;
 import com.dfsek.terra.api.block.state.BlockState;
@@ -28,8 +26,8 @@ public class MatchPattern implements Pattern {
    @Override
    public boolean matches(int y, Column<?> column) {
-        int min = FastMath.max(column.getMinY(), range.getMin() + y);
+        int min = Math.max(column.getMinY(), range.getMin() + y);
-        int max = FastMath.min(column.getMaxY(), range.getMax() + y);
+        int max = Math.min(column.getMaxY(), range.getMax() + y);
        if(max <= min) return false;
        for(int i = min; i < max; i++) {
            if(!matches.test(column.getBlock(i))) return false;
@@ -39,8 +37,8 @@ public class MatchPattern implements Pattern {
    @Override
    public boolean matches(WritableWorld world, int x, int y, int z) {
-        int min = FastMath.max(world.getMinHeight(), range.getMin() + y);
+        int min = Math.max(world.getMinHeight(), range.getMin() + y);
-        int max = FastMath.min(world.getMaxHeight(), range.getMax() + y);
+        int max = Math.min(world.getMaxHeight(), range.getMax() + y);
        if(max <= min) return false;
        for(int i = min; i < max; i++) {
            if(!matches.test(world.getBlockState(x, i, z))) return false;
@@ -5,12 +5,4 @@ version = version("1.1.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    api("com.dfsek", "paralithic", Versions.Libraries.paralithic)
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<ShadowJar>("shadowJar") {
    relocate("com.dfsek.paralithic", "com.dfsek.terra.addons.noise.lib.paralithic")
    relocate("net.jafama", "com.dfsek.terra.addons.noise.lib.jafama")
 }
@@ -28,6 +28,7 @@ import com.dfsek.terra.addons.noise.config.templates.noise.ConstantNoiseTemplate
 import com.dfsek.terra.addons.noise.config.templates.noise.DistanceSamplerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.ExpressionFunctionTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.GaborNoiseTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.PseudoErosionSamplerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.SimpleNoiseTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.fractal.BrownianMotionTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.fractal.PingPongTemplate;
@@ -123,6 +124,7 @@ public class NoiseAddon implements AddonInitializer {
                  noiseRegistry.register(addon.key("VALUE_CUBIC"), () -> new SimpleNoiseTemplate(ValueCubicSampler::new));
                  noiseRegistry.register(addon.key("CELLULAR"), CellularNoiseTemplate::new);
                  noiseRegistry.register(addon.key("PSEUDOEROSION"), PseudoErosionSamplerTemplate::new);
                  noiseRegistry.register(addon.key("WHITE_NOISE"), () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
                  noiseRegistry.register(addon.key("POSITIVE_WHITE_NOISE"), () -> new SimpleNoiseTemplate(PositiveWhiteNoiseSampler::new));
@@ -0,0 +1,49 @@
 /*
 * Copyright (c) 2020-2021 Polyhedral Development
 *
 * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
 * reference the LICENSE file in this module's root directory.
 */
 package com.dfsek.terra.addons.noise.config.templates.noise;
 import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
 import com.dfsek.terra.addons.noise.samplers.noise.PseudoErosionSampler;
 import com.dfsek.terra.addons.noise.samplers.noise.simplex.OpenSimplex2Sampler;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
@SuppressWarnings("FieldMayBeFinal")
 public class PseudoErosionSamplerTemplate extends SamplerTemplate<PseudoErosionSampler> {
    @Value("frequency")
    @Default
    protected @Meta double frequency = 0.01d;
 //    protected @Meta double frequency = 0.02d;
    @Value("salt")
    @Default
    protected @Meta long salt = 0;
    @Value("jitter")
    @Default
    private @Meta double jitter = 1.0D;
    @Value("lookup")
    @Default
    private @Meta NoiseSampler lookup = null;
    @Override
    public NoiseSampler get() {
        if(lookup == null) {
            OpenSimplex2Sampler lookup = new OpenSimplex2Sampler();
            lookup.setFrequency(0.0005);
            this.lookup = lookup;
        }
        return new PseudoErosionSampler(salt, frequency, lookup, jitter);
    }
 }
@@ -2,14 +2,14 @@ package com.dfsek.terra.addons.noise.config.templates.normalizer;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import java.util.List;
 import com.dfsek.terra.addons.noise.math.CubicSpline;
 import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
 import com.dfsek.terra.addons.noise.normalizer.CubicSplineNoiseSampler;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public class CubicSplineNormalizerTemplate extends NormalizerTemplate<CubicSplineNoiseSampler> {
@@ -11,16 +11,16 @@ import com.dfsek.paralithic.eval.tokenizer.ParseException;
 import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import java.util.HashMap;
 import java.util.LinkedHashMap;
 import java.util.Map;
 import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
 import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
 import com.dfsek.terra.addons.noise.normalizer.ExpressionNormalizer;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.HashMap;
 import java.util.LinkedHashMap;
 import java.util.Map;
 import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
@@ -5,6 +5,8 @@ import org.jetbrains.annotations.NotNull;
 import java.util.Collections;
 import java.util.List;
 import static com.dfsek.terra.api.util.MathUtil.lerp;
 public class CubicSpline {
@@ -74,11 +76,7 @@ public class CubicSpline {
        }
        return left;
    }
-    
+
    private static double lerp(double t, double a, double b) {
        return a + t * (b - a);
    }
    public record Point(double from, double to, double gradient) implements Comparable<Point> {
        @Override
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.noise.normalizer;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -24,6 +22,6 @@ public class ClampNormalizer extends Normalizer {
    @Override
    public double normalize(double in) {
-        return FastMath.max(FastMath.min(in, max), min);
+        return Math.max(Math.min(in, max), min);
    }
 }
@@ -6,10 +6,10 @@ import com.dfsek.paralithic.eval.parser.Scope;
 import com.dfsek.paralithic.eval.tokenizer.ParseException;
 import com.dfsek.paralithic.functions.Function;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.Map;
 import com.dfsek.terra.api.noise.NoiseSampler;
 public class ExpressionNormalizer extends Normalizer {
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.noise.normalizer;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
@@ -41,8 +39,8 @@ public class NormalNormalizer extends Normalizer {
                end = mid;
            }
        }
-        double left = FastMath.abs(lookup[start] - in);
+        double left = Math.abs(lookup[start] - in);
-        double right = FastMath.abs(lookup[end] - in);
+        double right = Math.abs(lookup[end] - in);
        double fin;
        if(left <= right) {
@@ -9,6 +9,8 @@ package com.dfsek.terra.addons.noise.normalizer;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public abstract class Normalizer implements NoiseSampler {
    private final NoiseSampler sampler;
@@ -20,12 +22,12 @@ public abstract class Normalizer implements NoiseSampler {
    public abstract double normalize(double in);
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return normalize(sampler.noise(seed, x, y));
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return normalize(sampler.noise(seed, x, y, z));
    }
 }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.noise.normalizer;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -22,6 +20,6 @@ public class PosterizationNormalizer extends Normalizer {
    @Override
    public double normalize(double in) {
-        return FastMath.roundToInt((in + 1) / stepSize) * stepSize - 1;
+        return (int) Math.round((in + 1) / stepSize) * stepSize - 1;
    }
 }
@@ -3,15 +3,15 @@ package com.dfsek.terra.addons.noise.paralithic;
 import com.dfsek.paralithic.eval.tokenizer.ParseException;
 import com.dfsek.paralithic.functions.Function;
 import java.util.HashMap;
 import java.util.Map;
 import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
 import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
 import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
 import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
 import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
 import java.util.HashMap;
 import java.util.Map;
 public class FunctionUtil {
    private FunctionUtil() {}
@@ -9,6 +9,8 @@ package com.dfsek.terra.addons.noise.samplers;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public class DomainWarpedSampler implements NoiseSampler {
    private final NoiseSampler function;
@@ -22,7 +24,7 @@ public class DomainWarpedSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return function.noise(seed++,
                              x + warp.noise(seed++, x, y) * amplitude,
                              y + warp.noise(seed, x, y) * amplitude
@@ -30,7 +32,7 @@ public class DomainWarpedSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return function.noise(seed++,
                              x + warp.noise(seed++, x, y, z) * amplitude,
                              y + warp.noise(seed++, x, y, z) * amplitude,
@@ -7,9 +7,8 @@
 package com.dfsek.terra.addons.noise.samplers;
 import net.jafama.FastMath;
 import java.awt.image.BufferedImage;
 import java.util.List;
 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -27,14 +26,14 @@ public class ImageSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
-        return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()),
+        return ((channel.getChannel(image.getRGB(Math.floorMod((int) Math.floor(x * frequency), image.getWidth()),
-                                                 FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) *
+                                                 Math.floorMod((int) Math.floor(y * frequency), image.getHeight()))) / 255D) - 0.5) *
               2;
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return noise(seed, x, y);
    }
@@ -9,6 +9,8 @@ package com.dfsek.terra.addons.noise.samplers;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public class KernelSampler implements NoiseSampler {
    private final double[][] kernel;
@@ -25,7 +27,7 @@ public class KernelSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        x *= frequency;
        y *= frequency;
        double accumulator = 0;
@@ -43,7 +45,7 @@ public class KernelSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        x *= frequency;
        y *= frequency;
        z *= frequency;
@@ -2,6 +2,8 @@ package com.dfsek.terra.addons.noise.samplers;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public class LinearHeightmapSampler implements NoiseSampler {
    private final NoiseSampler sampler;
@@ -16,12 +18,12 @@ public class LinearHeightmapSampler implements NoiseSampler {
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return noise(seed, x, 0, y);
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return -y + base + sampler.noise(seed, x, y, z) * scale;
    }
 }
@@ -2,6 +2,8 @@ package com.dfsek.terra.addons.noise.samplers;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public class TranslateSampler implements NoiseSampler {
@@ -16,12 +18,12 @@ public class TranslateSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return sampler.noise(seed, x - dx, y - dz);
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return sampler.noise(seed, x - dx, y - dy, z - dz);
    }
 }
@@ -2,6 +2,8 @@ package com.dfsek.terra.addons.noise.samplers.arithmetic;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 public abstract class BinaryArithmeticSampler implements NoiseSampler {
    private final NoiseSampler left;
@@ -13,12 +15,12 @@ public abstract class BinaryArithmeticSampler implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return operate(left.noise(seed, x, y), right.noise(seed, x, y));
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return operate(left.noise(seed, x, y, z), right.noise(seed, x, y, z));
    }
@@ -1,7 +1,5 @@
 package com.dfsek.terra.addons.noise.samplers.arithmetic;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -12,6 +10,6 @@ public class MaxSampler extends BinaryArithmeticSampler {
    @Override
    public double operate(double left, double right) {
-        return FastMath.max(left, right);
+        return Math.max(left, right);
    }
 }
@@ -1,7 +1,5 @@
 package com.dfsek.terra.addons.noise.samplers.arithmetic;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -12,6 +10,6 @@ public class MinSampler extends BinaryArithmeticSampler {
    @Override
    public double operate(double left, double right) {
-        return FastMath.min(left, right);
+        return Math.min(left, right);
    }
 }
@@ -7,11 +7,11 @@
 package com.dfsek.terra.addons.noise.samplers.noise;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.noise.samplers.noise.simplex.OpenSimplex2Sampler;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.List;
 /**
 * NoiseSampler implementation for Cellular (Voronoi/Worley) Noise.
@@ -221,10 +221,10 @@ public class CellularSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int xr = fastRound(x);
+        int xr = (int) Math.round(x);
-        int yr = fastRound(y);
+        int yr = (int) Math.round(y);
        double distance0 = Double.MAX_VALUE;
        double distance1 = Double.MAX_VALUE;
@@ -251,12 +251,12 @@ public class CellularSampler extends NoiseFunction {
                double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
                double newDistance = switch(distanceFunction) {
-                    case Manhattan -> fastAbs(vecX) + fastAbs(vecY);
+                    case Manhattan -> Math.abs(vecX) + Math.abs(vecY);
-                    case Hybrid -> (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
+                    case Hybrid -> (Math.abs(vecX) + Math.abs(vecY)) + (vecX * vecX + vecY * vecY);
                    default -> vecX * vecX + vecY * vecY;
                };
-                distance1 = fastMax(fastMin(distance1, newDistance), distance0);
+                distance1 = Math.max(Math.min(distance1, newDistance), distance0);
                if(newDistance < distance0) {
                    distance0 = newDistance;
                    closestHash = hash;
@@ -274,10 +274,8 @@ public class CellularSampler extends NoiseFunction {
        }
        if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
-            distance0 = fastSqrt(distance0);
+            distance0 = Math.sqrt(distance0);
-            if(returnType != ReturnType.CellValue) {
+            distance1 = Math.sqrt(distance1);
                distance1 = fastSqrt(distance1);
            }
        }
        return switch(returnType) {
@@ -295,16 +293,16 @@ public class CellularSampler extends NoiseFunction {
            case Distance3Sub -> distance2 - distance0 - 1;
            case Distance3Mul -> distance2 * distance0 - 1;
            case Distance3Div -> distance0 / distance2 - 1;
-            case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
+            case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
        };
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int xr = fastRound(x);
+        int xr = (int) Math.round(x);
-        int yr = fastRound(y);
+        int yr = (int) Math.round(y);
-        int zr = fastRound(z);
+        int zr = (int) Math.round(z);
        double distance0 = Double.MAX_VALUE;
        double distance1 = Double.MAX_VALUE;
@@ -338,10 +336,10 @@ public class CellularSampler extends NoiseFunction {
                    double newDistance = 0;
                    switch(distanceFunction) {
                        case Euclidean, EuclideanSq -> newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
-                        case Manhattan -> newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
+                        case Manhattan -> newDistance = Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ);
                        case Hybrid -> {
-                            newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
+                            newDistance = (Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
-                            distance1 = fastMax(fastMin(distance1, newDistance), distance0);
+                            distance1 = Math.max(Math.min(distance1, newDistance), distance0);
                        }
                    }
@@ -365,9 +363,9 @@ public class CellularSampler extends NoiseFunction {
        }
        if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
-            distance0 = fastSqrt(distance0);
+            distance0 = Math.sqrt(distance0);
            if(returnType != ReturnType.CellValue) {
-                distance1 = fastSqrt(distance1);
+                distance1 = Math.sqrt(distance1);
            }
        }
@@ -386,7 +384,7 @@ public class CellularSampler extends NoiseFunction {
            case Distance3Sub -> distance2 - distance0 - 1;
            case Distance3Mul -> distance2 * distance0 - 1;
            case Distance3Div -> distance0 / distance2 - 1;
-            case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
+            case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
        };
    }
@@ -7,6 +7,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise;
 import java.util.List;
 /**
 * Sampler3D implementation that returns a constant.
 */
@@ -18,12 +21,12 @@ public class ConstantSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return constant;
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return constant;
    }
 }
@@ -1,6 +1,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise;
 import java.util.List;
 public class DistanceSampler extends NoiseFunction {
    private final DistanceFunction distanceFunction;
@@ -22,39 +25,39 @@ public class DistanceSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double dx = x - ox;
        double dy = y - oz;
-        if (normalize && (fastAbs(dx) > radius || fastAbs(dy) > radius)) return 1;
+        if (normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius)) return 1;
        double dist = distance2d(distanceFunction, dx, dy);
-        if (normalize) return fastMin(((2*dist)/distanceAtRadius)-1, 1);
+        if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
        return dist;
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        double dx = x - ox;
        double dy = y - oy;
        double dz = z - oz;
-        if(normalize && (fastAbs(dx) > radius || fastAbs(dy) > radius || fastAbs(dz) > radius)) return 1;
+        if(normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius || Math.abs(dz) > radius)) return 1;
        double dist = distance3d(distanceFunction, dx, dy, dz);
-        if (normalize) return fastMin(((2*dist)/distanceAtRadius)-1, 1);
+        if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
        return dist;
    }
    private static double distance2d(DistanceFunction distanceFunction, double x, double z) {
        return switch(distanceFunction) {
-            case Euclidean -> fastSqrt(x*x + z*z);
+            case Euclidean -> Math.sqrt(x*x + z*z);
            case EuclideanSq -> x*x + z*z;
-            case Manhattan -> fastAbs(x) + fastAbs(z);
+            case Manhattan -> Math.abs(x) + Math.abs(z);
        };
    }
    private static double distance3d(DistanceFunction distanceFunction, double x, double y, double z) {
        return switch(distanceFunction) {
-            case Euclidean -> fastSqrt(x*x + y*y + z*z);
+            case Euclidean -> Math.sqrt(x*x + y*y + z*z);
            case EuclideanSq -> x*x + y*y + z*z;
-            case Manhattan -> fastAbs(x) + fastAbs(y) + fastAbs(z);
+            case Manhattan -> Math.abs(x) + Math.abs(y) + Math.abs(z);
        };
    }
@@ -13,6 +13,7 @@ import com.dfsek.paralithic.eval.parser.Scope;
 import com.dfsek.paralithic.eval.tokenizer.ParseException;
 import com.dfsek.paralithic.functions.Function;
 import java.util.List;
 import java.util.Map;
 import com.dfsek.terra.addons.noise.paralithic.noise.SeedContext;
@@ -41,12 +42,12 @@ public class ExpressionFunction extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return expression.evaluate(new SeedContext(seed), x, 0, y);
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return expression.evaluate(new SeedContext(seed), x, y, z);
    }
 }
@@ -7,9 +7,10 @@
 package com.dfsek.terra.addons.noise.samplers.noise;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class GaborNoiseSampler extends NoiseFunction {
@@ -17,11 +18,11 @@ public class GaborNoiseSampler extends NoiseFunction {
    private double k = 1.0;
    private double a = 0.1;
    private double f0 = 0.625;
-    private double kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / a);
+    private double kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / a);
    private double impulsesPerKernel = 64d;
    private double impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
    private double impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
-    private double g = FastMath.exp(-impulsesPerCell);
+    private double g = Math.exp(-impulsesPerCell);
    private double omega0 = Math.PI * 0.25;
    private boolean isotropic = true;
@@ -32,17 +33,17 @@ public class GaborNoiseSampler extends NoiseFunction {
    }
    private void recalculateRadiusAndDensity() {
-        kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / this.a);
+        kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / this.a);
        impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
        impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
-        g = FastMath.exp(-impulsesPerCell);
+        g = Math.exp(-impulsesPerCell);
    }
    private double gaborNoise(long seed, double x, double y) {
        x /= kernelRadius;
        y /= kernelRadius;
-        int xi = fastFloor(x);
+        int xi = (int) Math.floor(x);
-        int yi = fastFloor(y);
+        int yi = (int) Math.floor(y);
        double xf = x - xi;
        double yf = y - yi;
        double noise = 0;
@@ -55,7 +56,7 @@ public class GaborNoiseSampler extends NoiseFunction {
    }
    private double calculateCell(long seed, int xi, int yi, double x, double y) {
-        long mashedSeed = murmur64(31L * xi + yi) + seed;
+        long mashedSeed = MathUtil.murmur64(31L * xi + yi) + seed;
        double gaussianSource = (rand.getNoiseRaw(mashedSeed++) + 1) / 2;
        int impulses = 0;
@@ -73,7 +74,7 @@ public class GaborNoiseSampler extends NoiseFunction {
    }
    private double gabor(double omega_0, double x, double y) {
-        return k * (FastMath.exp(-Math.PI * (a * a) * (x * x + y * y)) * fastCos(2 * Math.PI * f0 * (x * fastCos(omega_0) + y * fastSin(
+        return k * (Math.exp(-Math.PI * (a * a) * (x * x + y * y)) * MathUtil.cos(2 * Math.PI * f0 * (x * MathUtil.cos(omega_0) + y * MathUtil.sin(
                omega_0))));
    }
@@ -104,12 +105,12 @@ public class GaborNoiseSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double z) {
+    public double getNoiseRaw(long seed, double x, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return gaborNoise(seed, x, z);
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return gaborNoise(seed, x, z);
    }
 }
@@ -7,25 +7,18 @@
 package com.dfsek.terra.addons.noise.samplers.noise;
 import net.jafama.FastMath;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import java.util.ArrayList;
 import java.util.List;
@SuppressWarnings("ManualMinMaxCalculation")
 public abstract class NoiseFunction implements NoiseSampler {
    // Hashing
    protected static final int PRIME_X = 501125321;
    protected static final int PRIME_Y = 1136930381;
    protected static final int PRIME_Z = 1720413743;
-    static final int precision = 100;
+
    static final int modulus = 360 * precision;
    static final double[] sin = new double[360 * 100]; // lookup table
    static {
        for(int i = 0; i < sin.length; i++) {
            sin[i] = (float) Math.sin((double) (i) / (precision));
        }
    }
    protected double frequency = 0.02d;
    protected long salt;
@@ -33,10 +26,6 @@ public abstract class NoiseFunction implements NoiseSampler {
        this.salt = 0;
    }
    protected static int fastFloor(double f) {
        return f >= 0 ? (int) f : (int) f - 1;
    }
    protected static int hash(int seed, int xPrimed, int yPrimed, int zPrimed) {
        int hash = seed ^ xPrimed ^ yPrimed ^ zPrimed;
@@ -51,77 +40,6 @@ public abstract class NoiseFunction implements NoiseSampler {
        return hash;
    }
    protected static int fastRound(double f) {
        return f >= 0 ? (int) (f + 0.5f) : (int) (f - 0.5);
    }
    protected static double lerp(double a, double b, double t) {
        return a + t * (b - a);
    }
    protected static double interpHermite(double t) {
        return t * t * (3 - 2 * t);
    }
    protected static double interpQuintic(double t) {
        return t * t * t * (t * (t * 6 - 15) + 10);
    }
    protected static double cubicLerp(double a, double b, double c, double d, double t) {
        double p = (d - c) - (a - b);
        return t * t * t * p + t * t * ((a - b) - p) + t * (c - a) + b;
    }
    protected static double fastMin(double a, double b) {
        return a < b ? a : b;
    }
    protected static double fastMax(double a, double b) {
        return a > b ? a : b;
    }
    protected static double fastAbs(double f) {
        return f < 0 ? -f : f;
    }
    protected static double fastSqrt(double f) {
        return FastMath.sqrt(f);
    }
    protected static int fastCeil(double f) {
        int i = (int) f;
        if(i < f) i++;
        return i;
    }
    /**
     * Murmur64 hashing function
     *
     * @param h Input value
     *
     * @return Hashed value
     */
    protected static long murmur64(long h) {
        h ^= h >>> 33;
        h *= 0xff51afd7ed558ccdL;
        h ^= h >>> 33;
        h *= 0xc4ceb9fe1a85ec53L;
        h ^= h >>> 33;
        return h;
    }
    protected static double fastSin(double a) {
        return sinLookup((int) (a * precision + 0.5f));
    }
    protected static double fastCos(double a) {
        return sinLookup((int) ((a + Math.PI / 2) * precision + 0.5f));
    }
    private static double sinLookup(int a) {
        return a >= 0 ? sin[a % (modulus)] : -sin[-a % (modulus)];
    }
    public void setSalt(long salt) {
        this.salt = salt;
    }
@@ -135,16 +53,32 @@ public abstract class NoiseFunction implements NoiseSampler {
    }
    @Override
-    public double noise(long seed, double x, double y) {
+    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
-        return getNoiseRaw(seed + salt, x * frequency, y * frequency);
+        return getNoiseRaw(seed + salt, x * frequency, y * frequency, context, contextLayer, contextRadius);
    }
    @Override
-    public double noise(long seed, double x, double y, double z) {
+    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
-        return getNoiseRaw(seed + salt, x * frequency, y * frequency, z * frequency);
+        return getNoiseRaw(seed + salt, x * frequency, y * frequency, z * frequency, context, contextLayer, contextRadius);
    }
-    public abstract double getNoiseRaw(long seed, double x, double y);
+    public double getNoiseRaw(long seed, double x, double y) {
        int contextRadius = getContextRadius();
        ArrayList<double[]> list = new ArrayList<>();
        generateContext(seed, x, y, list, 0, contextRadius);
        return getNoiseRaw(seed, x, y, list, 0, getContextRadius());
    }
-    public abstract double getNoiseRaw(long seed, double x, double y, double z);
+    public double getNoiseRaw(long seed, double x, double y, double z) {
        int contextRadius = getContextRadius();
        ArrayList<double[]> list = new ArrayList<>();
        generateContext(seed, x, y, z, list, 0, contextRadius);
        return getNoiseRaw(seed, x, y, z, list, 0, getContextRadius());
    }
    public abstract double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius);
    public abstract double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius);
 }
@@ -0,0 +1,404 @@
 /*
 * Copyright (c) 2020-2021 Polyhedral Development
 *
 * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
 * reference the LICENSE file in this module's root directory.
 */
 package com.dfsek.terra.addons.noise.samplers.noise;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
 import com.google.errorprone.annotations.InlineMe;
 import java.util.List;
 import static com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction.PRIME_X;
 import static com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction.PRIME_Y;
 import static com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction.hash;
 /**
 * Pseudo-erosion algorithm based on <a href="https://www.reddit.com/r/proceduralgeneration/comments/797fgw/iterative_pseudoerosion/">a reddit post</a>
 * by user /u/YankeeMinstrel.
 * <br>
 * The algorithm works similarly to cellular/worley/voronoi noise. A grid of cells is established, where each cell contains a position with
 * a random offset. Each cell connects to an adjacent candidate cell in its moore neighbourhood or itself, called the 'connected' cell.
 * The connected cell is chosen by determining which candidate cell has the lowest value provided by passing the candidate coordinates into
 * another 'lookup' noise function.
 * The algorithm iterates through the cells near the sample point, calculates the distance between the position and the line segment
 * between the cell and its connected cell, and returns the minimum of these distances.
 */
 public class PseudoErosionSampler extends NoiseFunction {
    private static final double[] RAND_VECS_3D = {
            -0.7292736885d, -0.6618439697d, 0.1735581948d, 0, 0.790292081d, -0.5480887466d, -0.2739291014d, 0, 0.7217578935d, 0.6226212466d,
            -0.3023380997d, 0, 0.565683137d, -0.8208298145d, -0.0790000257d, 0, 0.760049034d, -0.5555979497d, -0.3370999617d, 0,
            0.3713945616d, 0.5011264475d, 0.7816254623d, 0, -0.1277062463d, -0.4254438999d, -0.8959289049d, 0, -0.2881560924d,
            -0.5815838982d, 0.7607405838d, 0, 0.5849561111d, -0.662820239d, -0.4674352136d, 0, 0.3307171178d, 0.0391653737d, 0.94291689d, 0,
            0.8712121778d, -0.4113374369d, -0.2679381538d, 0, 0.580981015d, 0.7021915846d, 0.4115677815d, 0, 0.503756873d, 0.6330056931d,
            -0.5878203852d, 0, 0.4493712205d, 0.601390195d, 0.6606022552d, 0, -0.6878403724d, 0.09018890807d, -0.7202371714d, 0,
            -0.5958956522d, -0.6469350577d, 0.475797649d, 0, -0.5127052122d, 0.1946921978d, -0.8361987284d, 0, -0.9911507142d,
            -0.05410276466d, -0.1212153153d, 0, -0.2149721042d, 0.9720882117d, -0.09397607749d, 0, -0.7518650936d, -0.5428057603d,
            0.3742469607d, 0, 0.5237068895d, 0.8516377189d, -0.02107817834d, 0, 0.6333504779d, 0.1926167129d, -0.7495104896d, 0,
            -0.06788241606d, 0.3998305789d, 0.9140719259d, 0, -0.5538628599d, -0.4729896695d, -0.6852128902d, 0, -0.7261455366d,
            -0.5911990757d, 0.3509933228d, 0, -0.9229274737d, -0.1782808786d, 0.3412049336d, 0, -0.6968815002d, 0.6511274338d,
            0.3006480328d, 0, 0.9608044783d, -0.2098363234d, -0.1811724921d, 0, 0.06817146062d, -0.9743405129d, 0.2145069156d, 0,
            -0.3577285196d, -0.6697087264d, -0.6507845481d, 0, -0.1868621131d, 0.7648617052d, -0.6164974636d, 0, -0.6541697588d,
            0.3967914832d, 0.6439087246d, 0, 0.6993340405d, -0.6164538506d, 0.3618239211d, 0, -0.1546665739d, 0.6291283928d, 0.7617583057d,
            0, -0.6841612949d, -0.2580482182d, -0.6821542638d, 0, 0.5383980957d, 0.4258654885d, 0.7271630328d, 0, -0.5026987823d,
            -0.7939832935d, -0.3418836993d, 0, 0.3202971715d, 0.2834415347d, 0.9039195862d, 0, 0.8683227101d, -0.0003762656404d,
            -0.4959995258d, 0, 0.791120031d, -0.08511045745d, 0.6057105799d, 0, -0.04011016052d, -0.4397248749d, 0.8972364289d, 0,
            0.9145119872d, 0.3579346169d, -0.1885487608d, 0, -0.9612039066d, -0.2756484276d, 0.01024666929d, 0, 0.6510361721d,
            -0.2877799159d, -0.7023778346d, 0, -0.2041786351d, 0.7365237271d, 0.644859585d, 0, -0.7718263711d, 0.3790626912d, 0.5104855816d,
            0, -0.3060082741d, -0.7692987727d, 0.5608371729d, 0, 0.454007341d, -0.5024843065d, 0.7357899537d, 0, 0.4816795475d,
            0.6021208291d, -0.6367380315d, 0, 0.6961980369d, -0.3222197429d, 0.641469197d, 0, -0.6532160499d, -0.6781148932d, 0.3368515753d,
            0, 0.5089301236d, -0.6154662304d, -0.6018234363d, 0, -0.1635919754d, -0.9133604627d, -0.372840892d, 0, 0.52408019d,
            -0.8437664109d, 0.1157505864d, 0, 0.5902587356d, 0.4983817807d, -0.6349883666d, 0, 0.5863227872d, 0.494764745d, 0.6414307729d,
            0, 0.6779335087d, 0.2341345225d, 0.6968408593d, 0, 0.7177054546d, -0.6858979348d, 0.120178631d, 0, -0.5328819713d,
            -0.5205125012d, 0.6671608058d, 0, -0.8654874251d, -0.0700727088d, -0.4960053754d, 0, -0.2861810166d, 0.7952089234d,
            0.5345495242d, 0, -0.04849529634d, 0.9810836427d, -0.1874115585d, 0, -0.6358521667d, 0.6058348682d, 0.4781800233d, 0,
            0.6254794696d, -0.2861619734d, 0.7258696564d, 0, -0.2585259868d, 0.5061949264d, -0.8227581726d, 0, 0.02136306781d,
            0.5064016808d, -0.8620330371d, 0, 0.200111773d, 0.8599263484d, 0.4695550591d, 0, 0.4743561372d, 0.6014985084d, -0.6427953014d,
            0, 0.6622993731d, -0.5202474575d, -0.5391679918d, 0, 0.08084972818d, -0.6532720452d, 0.7527940996d, 0, -0.6893687501d,
            0.0592860349d, 0.7219805347d, 0, -0.1121887082d, -0.9673185067d, 0.2273952515d, 0, 0.7344116094d, 0.5979668656d, -0.3210532909d,
            0, 0.5789393465d, -0.2488849713d, 0.7764570201d, 0, 0.6988182827d, 0.3557169806d, -0.6205791146d, 0, -0.8636845529d,
            -0.2748771249d, -0.4224826141d, 0, -0.4247027957d, -0.4640880967d, 0.777335046d, 0, 0.5257722489d, -0.8427017621d,
            0.1158329937d, 0, 0.9343830603d, 0.316302472d, -0.1639543925d, 0, -0.1016836419d, -0.8057303073d, -0.5834887393d, 0,
            -0.6529238969d, 0.50602126d, -0.5635892736d, 0, -0.2465286165d, -0.9668205684d, -0.06694497494d, 0, -0.9776897119d,
            -0.2099250524d, -0.007368825344d, 0, 0.7736893337d, 0.5734244712d, 0.2694238123d, 0, -0.6095087895d, 0.4995678998d,
            0.6155736747d, 0, 0.5794535482d, 0.7434546771d, 0.3339292269d, 0, -0.8226211154d, 0.08142581855d, 0.5627293636d, 0,
            -0.510385483d, 0.4703667658d, 0.7199039967d, 0, -0.5764971849d, -0.07231656274d, -0.8138926898d, 0, 0.7250628871d,
            0.3949971505d, -0.5641463116d, 0, -0.1525424005d, 0.4860840828d, -0.8604958341d, 0, -0.5550976208d, -0.4957820792d,
            0.667882296d, 0, -0.1883614327d, 0.9145869398d, 0.357841725d, 0, 0.7625556724d, -0.5414408243d, -0.3540489801d, 0,
            -0.5870231946d, -0.3226498013d, -0.7424963803d, 0, 0.3051124198d, 0.2262544068d, -0.9250488391d, 0, 0.6379576059d, 0.577242424d,
            -0.5097070502d, 0, -0.5966775796d, 0.1454852398d, -0.7891830656d, 0, -0.658330573d, 0.6555487542d, -0.3699414651d, 0,
            0.7434892426d, 0.2351084581d, 0.6260573129d, 0, 0.5562114096d, 0.8264360377d, -0.0873632843d, 0, -0.3028940016d, -0.8251527185d,
            0.4768419182d, 0, 0.1129343818d, -0.985888439d, -0.1235710781d, 0, 0.5937652891d, -0.5896813806d, 0.5474656618d, 0,
            0.6757964092d, -0.5835758614d, -0.4502648413d, 0, 0.7242302609d, -0.1152719764d, 0.6798550586d, 0, -0.9511914166d,
            0.0753623979d, -0.2992580792d, 0, 0.2539470961d, -0.1886339355d, 0.9486454084d, 0, 0.571433621d, -0.1679450851d, -0.8032795685d,
            0, -0.06778234979d, 0.3978269256d, 0.9149531629d, 0, 0.6074972649d, 0.733060024d, -0.3058922593d, 0, -0.5435478392d,
            0.1675822484d, 0.8224791405d, 0, -0.5876678086d, -0.3380045064d, -0.7351186982d, 0, -0.7967562402d, 0.04097822706d,
            -0.6029098428d, 0, -0.1996350917d, 0.8706294745d, 0.4496111079d, 0, -0.02787660336d, -0.9106232682d, -0.4122962022d, 0,
            -0.7797625996d, -0.6257634692d, 0.01975775581d, 0, -0.5211232846d, 0.7401644346d, -0.4249554471d, 0, 0.8575424857d,
            0.4053272873d, -0.3167501783d, 0, 0.1045223322d, 0.8390195772d, -0.5339674439d, 0, 0.3501822831d, 0.9242524096d, -0.1520850155d,
            0, 0.1987849858d, 0.07647613266d, 0.9770547224d, 0, 0.7845996363d, 0.6066256811d, -0.1280964233d, 0, 0.09006737436d,
            -0.9750989929d, -0.2026569073d, 0, -0.8274343547d, -0.542299559d, 0.1458203587d, 0, -0.3485797732d, -0.415802277d, 0.840000362d,
            0, -0.2471778936d, -0.7304819962d, -0.6366310879d, 0, -0.3700154943d, 0.8577948156d, 0.3567584454d, 0, 0.5913394901d,
            -0.548311967d, -0.5913303597d, 0, 0.1204873514d, -0.7626472379d, -0.6354935001d, 0, 0.616959265d, 0.03079647928d, 0.7863922953d,
            0, 0.1258156836d, -0.6640829889d, -0.7369967419d, 0, -0.6477565124d, -0.1740147258d, -0.7417077429d, 0, 0.6217889313d,
            -0.7804430448d, -0.06547655076d, 0, 0.6589943422d, -0.6096987708d, 0.4404473475d, 0, -0.2689837504d, -0.6732403169d,
            -0.6887635427d, 0, -0.3849775103d, 0.5676542638d, 0.7277093879d, 0, 0.5754444408d, 0.8110471154d, -0.1051963504d, 0,
            0.9141593684d, 0.3832947817d, 0.131900567d, 0, -0.107925319d, 0.9245493968d, 0.3654593525d, 0, 0.377977089d, 0.3043148782d,
            0.8743716458d, 0, -0.2142885215d, -0.8259286236d, 0.5214617324d, 0, 0.5802544474d, 0.4148098596d, -0.7008834116d, 0,
            -0.1982660881d, 0.8567161266d, -0.4761596756d, 0, -0.03381553704d, 0.3773180787d, -0.9254661404d, 0, -0.6867922841d,
            -0.6656597827d, 0.2919133642d, 0, 0.7731742607d, -0.2875793547d, -0.5652430251d, 0, -0.09655941928d, 0.9193708367d,
            -0.3813575004d, 0, 0.2715702457d, -0.9577909544d, -0.09426605581d, 0, 0.2451015704d, -0.6917998565d, -0.6792188003d, 0,
            0.977700782d, -0.1753855374d, 0.1155036542d, 0, -0.5224739938d, 0.8521606816d, 0.02903615945d, 0, -0.7734880599d,
            -0.5261292347d, 0.3534179531d, 0, -0.7134492443d, -0.269547243d, 0.6467878011d, 0, 0.1644037271d, 0.5105846203d, -0.8439637196d,
            0, 0.6494635788d, 0.05585611296d, 0.7583384168d, 0, -0.4711970882d, 0.5017280509d, -0.7254255765d, 0, -0.6335764307d,
            -0.2381686273d, -0.7361091029d, 0, -0.9021533097d, -0.270947803d, -0.3357181763d, 0, -0.3793711033d, 0.872258117d,
            0.3086152025d, 0, -0.6855598966d, -0.3250143309d, 0.6514394162d, 0, 0.2900942212d, -0.7799057743d, -0.5546100667d, 0,
            -0.2098319339d, 0.85037073d, 0.4825351604d, 0, -0.4592603758d, 0.6598504336d, -0.5947077538d, 0, 0.8715945488d, 0.09616365406d,
            -0.4807031248d, 0, -0.6776666319d, 0.7118504878d, -0.1844907016d, 0, 0.7044377633d, 0.312427597d, 0.637304036d, 0,
            -0.7052318886d, -0.2401093292d, -0.6670798253d, 0, 0.081921007d, -0.7207336136d, -0.6883545647d, 0, -0.6993680906d,
            -0.5875763221d, -0.4069869034d, 0, -0.1281454481d, 0.6419895885d, 0.7559286424d, 0, -0.6337388239d, -0.6785471501d,
            -0.3714146849d, 0, 0.5565051903d, -0.2168887573d, -0.8020356851d, 0, -0.5791554484d, 0.7244372011d, -0.3738578718d, 0,
            0.1175779076d, -0.7096451073d, 0.6946792478d, 0, -0.6134619607d, 0.1323631078d, 0.7785527795d, 0, 0.6984635305d,
            -0.02980516237d, -0.715024719d, 0, 0.8318082963d, -0.3930171956d, 0.3919597455d, 0, 0.1469576422d, 0.05541651717d,
            -0.9875892167d, 0, 0.708868575d, -0.2690503865d, 0.6520101478d, 0, 0.2726053183d, 0.67369766d, -0.68688995d, 0, -0.6591295371d,
            0.3035458599d, -0.6880466294d, 0, 0.4815131379d, -0.7528270071d, 0.4487723203d, 0, 0.9430009463d, 0.1675647412d, -0.2875261255d,
            0, 0.434802957d, 0.7695304522d, -0.4677277752d, 0, 0.3931996188d, 0.594473625d, 0.7014236729d, 0, 0.7254336655d, -0.603925654d,
            0.3301814672d, 0, 0.7590235227d, -0.6506083235d, 0.02433313207d, 0, -0.8552768592d, -0.3430042733d, 0.3883935666d, 0,
            -0.6139746835d, 0.6981725247d, 0.3682257648d, 0, -0.7465905486d, -0.5752009504d, 0.3342849376d, 0, 0.5730065677d, 0.810555537d,
            -0.1210916791d, 0, -0.9225877367d, -0.3475211012d, -0.167514036d, 0, -0.7105816789d, -0.4719692027d, -0.5218416899d, 0,
            -0.08564609717d, 0.3583001386d, 0.929669703d, 0, -0.8279697606d, -0.2043157126d, 0.5222271202d, 0, 0.427944023d, 0.278165994d,
            0.8599346446d, 0, 0.5399079671d, -0.7857120652d, -0.3019204161d, 0, 0.5678404253d, -0.5495413974d, -0.6128307303d, 0,
            -0.9896071041d, 0.1365639107d, -0.04503418428d, 0, -0.6154342638d, -0.6440875597d, 0.4543037336d, 0, 0.1074204368d,
            -0.7946340692d, 0.5975094525d, 0, -0.3595449969d, -0.8885529948d, 0.28495784d, 0, -0.2180405296d, 0.1529888965d, 0.9638738118d,
            0, -0.7277432317d, -0.6164050508d, -0.3007234646d, 0, 0.7249729114d, -0.00669719484d, 0.6887448187d, 0, -0.5553659455d,
            -0.5336586252d, 0.6377908264d, 0, 0.5137558015d, 0.7976208196d, -0.3160000073d, 0, -0.3794024848d, 0.9245608561d,
            -0.03522751494d, 0, 0.8229248658d, 0.2745365933d, -0.4974176556d, 0, -0.5404114394d, 0.6091141441d, 0.5804613989d, 0,
            0.8036581901d, -0.2703029469d, 0.5301601931d, 0, 0.6044318879d, 0.6832968393d, 0.4095943388d, 0, 0.06389988817d, 0.9658208605d,
            -0.2512108074d, 0, 0.1087113286d, 0.7402471173d, -0.6634877936d, 0, -0.713427712d, -0.6926784018d, 0.1059128479d, 0,
            0.6458897819d, -0.5724548511d, -0.5050958653d, 0, -0.6553931414d, 0.7381471625d, 0.159995615d, 0, 0.3910961323d, 0.9188871375d,
            -0.05186755998d, 0, -0.4879022471d, -0.5904376907d, 0.6429111375d, 0, 0.6014790094d, 0.7707441366d, -0.2101820095d, 0,
            -0.5677173047d, 0.7511360995d, 0.3368851762d, 0, 0.7858573506d, 0.226674665d, 0.5753666838d, 0, -0.4520345543d, -0.604222686d,
            -0.6561857263d, 0, 0.002272116345d, 0.4132844051d, -0.9105991643d, 0, -0.5815751419d, -0.5162925989d, 0.6286591339d, 0,
            -0.03703704785d, 0.8273785755d, 0.5604221175d, 0, -0.5119692504d, 0.7953543429d, -0.3244980058d, 0, -0.2682417366d,
            -0.9572290247d, -0.1084387619d, 0, -0.2322482736d, -0.9679131102d, -0.09594243324d, 0, 0.3554328906d, -0.8881505545d,
            0.2913006227d, 0, 0.7346520519d, -0.4371373164d, 0.5188422971d, 0, 0.9985120116d, 0.04659011161d, -0.02833944577d, 0,
            -0.3727687496d, -0.9082481361d, 0.1900757285d, 0, 0.91737377d, -0.3483642108d, 0.1925298489d, 0, 0.2714911074d, 0.4147529736d,
            -0.8684886582d, 0, 0.5131763485d, -0.7116334161d, 0.4798207128d, 0, -0.8737353606d, 0.18886992d, -0.4482350644d, 0,
            0.8460043821d, -0.3725217914d, 0.3814499973d, 0, 0.8978727456d, -0.1780209141d, -0.4026575304d, 0, 0.2178065647d,
            -0.9698322841d, -0.1094789531d, 0, -0.1518031304d, -0.7788918132d, -0.6085091231d, 0, -0.2600384876d, -0.4755398075d,
            -0.8403819825d, 0, 0.572313509d, -0.7474340931d, -0.3373418503d, 0, -0.7174141009d, 0.1699017182d, -0.6756111411d, 0,
            -0.684180784d, 0.02145707593d, -0.7289967412d, 0, -0.2007447902d, 0.06555605789d, -0.9774476623d, 0, -0.1148803697d,
            -0.8044887315d, 0.5827524187d, 0, -0.7870349638d, 0.03447489231d, 0.6159443543d, 0, -0.2015596421d, 0.6859872284d,
            0.6991389226d, 0, -0.08581082512d, -0.10920836d, -0.9903080513d, 0, 0.5532693395d, 0.7325250401d, -0.396610771d, 0,
            -0.1842489331d, -0.9777375055d, -0.1004076743d, 0, 0.0775473789d, -0.9111505856d, 0.4047110257d, 0, 0.1399838409d,
            0.7601631212d, -0.6344734459d, 0, 0.4484419361d, -0.845289248d, 0.2904925424d, 0
    };
    private static final double[] RAND_VECS_2D = {
            -0.2700222198d, -0.9628540911d, 0.3863092627d, -0.9223693152d, 0.04444859006d, -0.999011673d, -0.5992523158d, -0.8005602176d,
            -0.7819280288d, 0.6233687174d, 0.9464672271d, 0.3227999196d, -0.6514146797d, -0.7587218957d, 0.9378472289d, 0.347048376d,
            -0.8497875957d, -0.5271252623d, -0.879042592d, 0.4767432447d, -0.892300288d, -0.4514423508d, -0.379844434d, -0.9250503802d,
            -0.9951650832d, 0.0982163789d, 0.7724397808d, -0.6350880136d, 0.7573283322d, -0.6530343002d, -0.9928004525d, -0.119780055d,
            -0.0532665713d, 0.9985803285d, 0.9754253726d, -0.2203300762d, -0.7665018163d, 0.6422421394d, 0.991636706d, 0.1290606184d,
            -0.994696838d, 0.1028503788d, -0.5379205513d, -0.84299554d, 0.5022815471d, -0.8647041387d, 0.4559821461d, -0.8899889226d,
            -0.8659131224d, -0.5001944266d, 0.0879458407d, -0.9961252577d, -0.5051684983d, 0.8630207346d, 0.7753185226d, -0.6315704146d,
            -0.6921944612d, 0.7217110418d, -0.5191659449d, -0.8546734591d, 0.8978622882d, -0.4402764035d, -0.1706774107d, 0.9853269617d,
            -0.9353430106d, -0.3537420705d, -0.9992404798d, 0.03896746794d, -0.2882064021d, -0.9575683108d, -0.9663811329d, 0.2571137995d,
            -0.8759714238d, -0.4823630009d, -0.8303123018d, -0.5572983775d, 0.05110133755d, -0.9986934731d, -0.8558373281d, -0.5172450752d,
            0.09887025282d, 0.9951003332d, 0.9189016087d, 0.3944867976d, -0.2439375892d, -0.9697909324d, -0.8121409387d, -0.5834613061d,
            -0.9910431363d, 0.1335421355d, 0.8492423985d, -0.5280031709d, -0.9717838994d, -0.2358729591d, 0.9949457207d, 0.1004142068d,
            0.6241065508d, -0.7813392434d, 0.662910307d, 0.7486988212d, -0.7197418176d, 0.6942418282d, -0.8143370775d, -0.5803922158d,
            0.104521054d, -0.9945226741d, -0.1065926113d, -0.9943027784d, 0.445799684d, -0.8951327509d, 0.105547406d, 0.9944142724d,
            -0.992790267d, 0.1198644477d, -0.8334366408d, 0.552615025d, 0.9115561563d, -0.4111755999d, 0.8285544909d, -0.5599084351d,
            0.7217097654d, -0.6921957921d, 0.4940492677d, -0.8694339084d, -0.3652321272d, -0.9309164803d, -0.9696606758d, 0.2444548501d,
            0.08925509731d, -0.996008799d, 0.5354071276d, -0.8445941083d, -0.1053576186d, 0.9944343981d, -0.9890284586d, 0.1477251101d,
            0.004856104961d, 0.9999882091d, 0.9885598478d, 0.1508291331d, 0.9286129562d, -0.3710498316d, -0.5832393863d, -0.8123003252d,
            0.3015207509d, 0.9534596146d, -0.9575110528d, 0.2883965738d, 0.9715802154d, -0.2367105511d, 0.229981792d, 0.9731949318d,
            0.955763816d, -0.2941352207d, 0.740956116d, 0.6715534485d, -0.9971513787d, -0.07542630764d, 0.6905710663d, -0.7232645452d,
            -0.290713703d, -0.9568100872d, 0.5912777791d, -0.8064679708d, -0.9454592212d, -0.325740481d, 0.6664455681d, 0.74555369d,
            0.6236134912d, 0.7817328275d, 0.9126993851d, -0.4086316587d, -0.8191762011d, 0.5735419353d, -0.8812745759d, -0.4726046147d,
            0.9953313627d, 0.09651672651d, 0.9855650846d, -0.1692969699d, -0.8495980887d, 0.5274306472d, 0.6174853946d, -0.7865823463d,
            0.8508156371d, 0.52546432d, 0.9985032451d, -0.05469249926d, 0.1971371563d, -0.9803759185d, 0.6607855748d, -0.7505747292d,
            -0.03097494063d, 0.9995201614d, -0.6731660801d, 0.739491331d, -0.7195018362d, -0.6944905383d, 0.9727511689d, 0.2318515979d,
            0.9997059088d, -0.0242506907d, 0.4421787429d, -0.8969269532d, 0.9981350961d, -0.061043673d, -0.9173660799d, -0.3980445648d,
            -0.8150056635d, -0.5794529907d, -0.8789331304d, 0.4769450202d, 0.0158605829d, 0.999874213d, -0.8095464474d, 0.5870558317d,
            -0.9165898907d, -0.3998286786d, -0.8023542565d, 0.5968480938d, -0.5176737917d, 0.8555780767d, -0.8154407307d, -0.5788405779d,
            0.4022010347d, -0.9155513791d, -0.9052556868d, -0.4248672045d, 0.7317445619d, 0.6815789728d, -0.5647632201d, -0.8252529947d,
            -0.8403276335d, -0.5420788397d, -0.9314281527d, 0.363925262d, 0.5238198472d, 0.8518290719d, 0.7432803869d, -0.6689800195d,
            -0.985371561d, -0.1704197369d, 0.4601468731d, 0.88784281d, 0.825855404d, 0.5638819483d, 0.6182366099d, 0.7859920446d,
            0.8331502863d, -0.553046653d, 0.1500307506d, 0.9886813308d, -0.662330369d, -0.7492119075d, -0.668598664d, 0.743623444d,
            0.7025606278d, 0.7116238924d, -0.5419389763d, -0.8404178401d, -0.3388616456d, 0.9408362159d, 0.8331530315d, 0.5530425174d,
            -0.2989720662d, -0.9542618632d, 0.2638522993d, 0.9645630949d, 0.124108739d, -0.9922686234d, -0.7282649308d, -0.6852956957d,
            0.6962500149d, 0.7177993569d, -0.9183535368d, 0.3957610156d, -0.6326102274d, -0.7744703352d, -0.9331891859d, -0.359385508d,
            -0.1153779357d, -0.9933216659d, 0.9514974788d, -0.3076565421d, -0.08987977445d, -0.9959526224d, 0.6678496916d, 0.7442961705d,
            0.7952400393d, -0.6062947138d, -0.6462007402d, -0.7631674805d, -0.2733598753d, 0.9619118351d, 0.9669590226d, -0.254931851d,
            -0.9792894595d, 0.2024651934d, -0.5369502995d, -0.8436138784d, -0.270036471d, -0.9628500944d, -0.6400277131d, 0.7683518247d,
            -0.7854537493d, -0.6189203566d, 0.06005905383d, -0.9981948257d, -0.02455770378d, 0.9996984141d, -0.65983623d, 0.751409442d,
            -0.6253894466d, -0.7803127835d, -0.6210408851d, -0.7837781695d, 0.8348888491d, 0.5504185768d, -0.1592275245d, 0.9872419133d,
            0.8367622488d, 0.5475663786d, -0.8675753916d, -0.4973056806d, -0.2022662628d, -0.9793305667d, 0.9399189937d, 0.3413975472d,
            0.9877404807d, -0.1561049093d, -0.9034455656d, 0.4287028224d, 0.1269804218d, -0.9919052235d, -0.3819600854d, 0.924178821d,
            0.9754625894d, 0.2201652486d, -0.3204015856d, -0.9472818081d, -0.9874760884d, 0.1577687387d, 0.02535348474d, -0.9996785487d,
            0.4835130794d, -0.8753371362d, -0.2850799925d, -0.9585037287d, -0.06805516006d, -0.99768156d, -0.7885244045d, -0.6150034663d,
            0.3185392127d, -0.9479096845d, 0.8880043089d, 0.4598351306d, 0.6476921488d, -0.7619021462d, 0.9820241299d, 0.1887554194d,
            0.9357275128d, -0.3527237187d, -0.8894895414d, 0.4569555293d, 0.7922791302d, 0.6101588153d, 0.7483818261d, 0.6632681526d,
            -0.7288929755d, -0.6846276581d, 0.8729032783d, -0.4878932944d, 0.8288345784d, 0.5594937369d, 0.08074567077d, 0.9967347374d,
            0.9799148216d, -0.1994165048d, -0.580730673d, -0.8140957471d, -0.4700049791d, -0.8826637636d, 0.2409492979d, 0.9705377045d,
            0.9437816757d, -0.3305694308d, -0.8927998638d, -0.4504535528d, -0.8069622304d, 0.5906030467d, 0.06258973166d, 0.9980393407d,
            -0.9312597469d, 0.3643559849d, 0.5777449785d, 0.8162173362d, -0.3360095855d, -0.941858566d, 0.697932075d, -0.7161639607d,
            -0.002008157227d, -0.9999979837d, -0.1827294312d, -0.9831632392d, -0.6523911722d, 0.7578824173d, -0.4302626911d, -0.9027037258d,
            -0.9985126289d, -0.05452091251d, -0.01028102172d, -0.9999471489d, -0.4946071129d, 0.8691166802d, -0.2999350194d, 0.9539596344d,
            0.8165471961d, 0.5772786819d, 0.2697460475d, 0.962931498d, -0.7306287391d, -0.6827749597d, -0.7590952064d, -0.6509796216d,
            -0.907053853d, 0.4210146171d, -0.5104861064d, -0.8598860013d, 0.8613350597d, 0.5080373165d, 0.5007881595d, -0.8655698812d,
            -0.654158152d, 0.7563577938d, -0.8382755311d, -0.545246856d, 0.6940070834d, 0.7199681717d, 0.06950936031d, 0.9975812994d,
            0.1702942185d, -0.9853932612d, 0.2695973274d, 0.9629731466d, 0.5519612192d, -0.8338697815d, 0.225657487d, -0.9742067022d,
            0.4215262855d, -0.9068161835d, 0.4881873305d, -0.8727388672d, -0.3683854996d, -0.9296731273d, -0.9825390578d, 0.1860564427d,
            0.81256471d, 0.5828709909d, 0.3196460933d, -0.9475370046d, 0.9570913859d, 0.2897862643d, -0.6876655497d, -0.7260276109d,
            -0.9988770922d, -0.047376731d, -0.1250179027d, 0.992154486d, -0.8280133617d, 0.560708367d, 0.9324863769d, -0.3612051451d,
            0.6394653183d, 0.7688199442d, -0.01623847064d, -0.9998681473d, -0.9955014666d, -0.09474613458d, -0.81453315d, 0.580117012d,
            0.4037327978d, -0.9148769469d, 0.9944263371d, 0.1054336766d, -0.1624711654d, 0.9867132919d, -0.9949487814d, -0.100383875d,
            -0.6995302564d, 0.7146029809d, 0.5263414922d, -0.85027327d, -0.5395221479d, 0.841971408d, 0.6579370318d, 0.7530729462d,
            0.01426758847d, -0.9998982128d, -0.6734383991d, 0.7392433447d, 0.639412098d, -0.7688642071d, 0.9211571421d, 0.3891908523d,
            -0.146637214d, -0.9891903394d, -0.782318098d, 0.6228791163d, -0.5039610839d, -0.8637263605d, -0.7743120191d, -0.6328039957d,
            };
    private static final int PRECOMPUTE_RADIUS = 3;
    private static final int PRECOMPUTE_SIZE = 1 + 2 * PRECOMPUTE_RADIUS;
    private static final int NEARBY_CELLS_RADIUS = 2;
    private static final int MAX_CONNECTION_RADIUS = 1;
    private final long salt;
    private final double frequency;
    private final double inverseFrequency;
    private final double cellularJitter;
    private final NoiseSampler lookup;
    public PseudoErosionSampler(long salt, double frequency, NoiseSampler lookup, double jitterModifier) {
        this.salt = salt;
        this.frequency = frequency;
        this.inverseFrequency = 1 / frequency;
        this.lookup = lookup;
        this.cellularJitter = 0.43701595 * jitterModifier;
    }
    public void generateContextRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        // Round sampled position to integers to derive grid coordinates
        int gridX = (int) Math.round(x);
        int gridY = (int) Math.round(y);
        int nextContextLayer = contextLayer + 1;
        int nextContextRadius = contextRadius + getContextRadius();
        context.add(contextLayer, new double[0]);
        this.lookup.generateContext(seed, x, y, context, nextContextLayer, nextContextRadius);
        int contextCircumference = (contextRadius * 2 + 1);
        int contextSizeArraySize = contextCircumference * contextCircumference * 3;
        // Precompute cell positions and lookup values
        double[] cellData = new double[contextSizeArraySize];
        int cellDataIndex = 0;
        for(int xi = -contextRadius; xi <= contextRadius; xi++) {
            int gridXi = gridX + xi;
            int gridXiPrimed = gridXi * PRIME_X;
            for(int yi = -contextRadius; yi <= contextRadius; yi++) {
                int gridYi = gridY + yi;
                int jitterIdx = hash(seed, gridXiPrimed, gridYi * PRIME_Y) & (255 << 1);
                double cellX = MathUtil.fma(RAND_VECS_2D[jitterIdx], cellularJitter, gridXi);
                double cellY = MathUtil.fma(RAND_VECS_2D[jitterIdx | 1], cellularJitter, gridYi);
                // Transform to actual coordinates for lookup
                double actualCellX = cellX * inverseFrequency;
                double actualCellY = cellY * inverseFrequency;
                double lookup = this.lookup.noise(seed, actualCellX, actualCellY, context, nextContextLayer, nextContextRadius);
                cellData[cellDataIndex++] = cellX;
                cellData[cellDataIndex++] = cellY;
                cellData[cellDataIndex++] = lookup;
            }
        }
        context.add(contextLayer, cellData);
    }
    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double finalDistance = Double.MAX_VALUE;
        double[] cellData = context.get(contextLayer);
        int xIndexSize = (contextRadius * 6) + 3;
        int deltaRadius = (contextRadius - NEARBY_CELLS_RADIUS);
        int xIndex = xIndexSize * deltaRadius;
        int yIndex = 3 * deltaRadius;
        // Iterate over nearby cells
        int cellDataIndex = xIndex;
        //int cellDataIndex = 21;
        for(int xi = -NEARBY_CELLS_RADIUS; xi <= NEARBY_CELLS_RADIUS; xi++) {
            cellDataIndex += yIndex;
            //cellDataIndex += 3;
            for(int yi = -NEARBY_CELLS_RADIUS; yi <= NEARBY_CELLS_RADIUS; yi++) {
                // Find cell position with the lowest lookup value within moore neighborhood of neighbor
                double lowestLookup = Double.MAX_VALUE;
                double connectedCellX = 0;
                double connectedCellY = 0;
                //int cellDataIndexN = cellDataIndex - xIndex - 1;
                int cellDataIndexN = cellDataIndex - 22;
                int yniMin = yi - MAX_CONNECTION_RADIUS;
                int yniMax = yi + MAX_CONNECTION_RADIUS;
                for(int xni = xi - MAX_CONNECTION_RADIUS; xni <= xi + MAX_CONNECTION_RADIUS; xni++) {
                    for(int yni = yniMin; yni <= yniMax; yni++) {
                        double lookup = cellData[cellDataIndexN];
                        if(lookup < lowestLookup) {
                            lowestLookup = lookup;
                            connectedCellX = cellData[cellDataIndexN - 2];
                            connectedCellY = cellData[cellDataIndexN - 1];
                        }
                        cellDataIndexN += 3;
                    }
                    cellDataIndexN += 12;
                }
                double cellX = cellData[cellDataIndex];
                double cellY = cellData[cellDataIndex + 1];
                // Calculate SDF for line between the current cell position and the surrounding cell with the lowest lookup
                double distance = lineSdf2D(x, y, cellX, cellY, connectedCellX, connectedCellY);
                // Set final return to the lowest computed distance
                finalDistance = Math.min(finalDistance, distance);
                cellDataIndex += 3;
            }
            cellDataIndex += yIndex;
            //cellDataIndex += 3;
        }
        return finalDistance;
    }
    /**
     * Signed distance function of a line segment determined by two points
     */
    private static double lineSdf2D(double x, double y, double x1, double y1, double x2, double y2) {
        double x1dx = x - x1;
        double y1dx = y - y1;
        if (x1 == x2 && y1 == y2) {
            // If positions are the same, just return the distance from the point
            return MathUtil.hypot(x1dx, y1dx);
        }
        double ldx = x1 - x2;
        double ldy = y1 - y2;
        double invLineLengthSquared = Math.pow((Math.pow(ldx, 2) + Math.pow(ldy, 2)), -1);
        double x2dx = x - x2;
        double y2dx = y - y2;
        double dotProduct = MathUtil.fma(ldy, y1dx, (ldx * x1dx));
        double lt = dotProduct * invLineLengthSquared; // Position along the line
        if (lt > 0) {
            return MathUtil.hypot(x1dx, y1dx); // Distance between point 1 and position
        } else if (lt < -1) {
            return MathUtil.hypot(x2dx, y2dx); // Distance between point 2 and position
        } else {
            double distance = MathUtil.fma(ldy, x1dx, (-(ldx * y1dx))) * Math.sqrt(invLineLengthSquared);
            return Math.abs(distance); // Distance from the line
        }
    }
    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        // TODO
        return 0;
    }
    @Override
    public double noise(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return getNoiseRaw(seed + salt, x * frequency, y * frequency, context, contextLayer, contextRadius);
    }
    @Override
    public double noise(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return getNoiseRaw(seed + salt, x * frequency, y * frequency, z * frequency, context, contextLayer, contextRadius);
    }
    @Override
    public void generateContext(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        generateContextRaw(seed + salt, x * frequency, y * frequency, context, contextLayer, contextRadius);
    }
    @Override
    public void generateContext(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        //no-op
    }
    @Override
    public int getContextRadius() {
        return PRECOMPUTE_RADIUS;
    }
 }
@@ -8,6 +8,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class BrownianMotionSampler extends FractalNoiseFunction {
@@ -16,14 +19,14 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
            double noise = input.noise(seed++, x, y);
            sum += noise * amp;
-            amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
+            amp *= MathUtil.lerp(1.0, Math.min(noise + 1, 2) * 0.5, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -34,14 +37,14 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
            double noise = input.noise(seed++, x, y, z);
            sum += noise * amp;
-            amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);
+            amp *= MathUtil.lerp(1.0, (noise + 1) * 0.5, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -25,7 +25,7 @@ public abstract class FractalNoiseFunction extends NoiseFunction {
    }
    protected void calculateFractalBounding() {
-        double gain = fastAbs(this.gain);
+        double gain = Math.abs(this.gain);
        double amp = gain;
        double ampFractal = 1.0;
        for(int i = 1; i < octaves; i++) {
@@ -8,6 +8,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class PingPongSampler extends FractalNoiseFunction {
@@ -28,14 +31,14 @@ public class PingPongSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
            double noise = pingPong((input.noise(seed++, x, y) + 1) * pingPongStrength);
            sum += (noise - 0.5) * 2 * amp;
-            amp *= lerp(1.0, noise, weightedStrength);
+            amp *= MathUtil.lerp(1.0, noise, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -46,14 +49,14 @@ public class PingPongSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
            double noise = pingPong((input.noise(seed++, x, y, z) + 1) * pingPongStrength);
            sum += (noise - 0.5) * 2 * amp;
-            amp *= lerp(1.0, noise, weightedStrength);
+            amp *= MathUtil.lerp(1.0, noise, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -8,6 +8,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;
 import com.dfsek.terra.api.noise.NoiseSampler;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class RidgedFractalSampler extends FractalNoiseFunction {
@@ -17,14 +20,14 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
-            double noise = fastAbs(input.noise(seed++, x, y));
+            double noise = Math.abs(input.noise(seed++, x, y));
            sum += (noise * -2 + 1) * amp;
-            amp *= lerp(1.0, 1 - noise, weightedStrength);
+            amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -35,14 +38,14 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        double sum = 0;
        double amp = fractalBounding;
        for(int i = 0; i < octaves; i++) {
-            double noise = fastAbs(input.noise(seed++, x, y, z));
+            double noise = Math.abs(input.noise(seed++, x, y, z));
            sum += (noise * -2 + 1) * amp;
-            amp *= lerp(1.0, 1 - noise, weightedStrength);
+            amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
            x *= lacunarity;
            y *= lacunarity;
@@ -9,6 +9,8 @@ package com.dfsek.terra.addons.noise.samplers.noise.random;
 import com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction;
 import java.util.List;
 /**
 * NoiseSampler implementation to provide random, normally distributed (Gaussian) noise.
@@ -21,7 +23,7 @@ public class GaussianNoiseSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        double v1, v2, s;
        do {
            v1 = whiteNoiseSampler.noise(seed++, x, y);
@@ -33,7 +35,7 @@ public class GaussianNoiseSampler extends NoiseFunction {
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        double v1, v2, s;
        do {
            v1 = whiteNoiseSampler.noise(seed++, x, y, z);
@@ -7,6 +7,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.random;
 import com.dfsek.terra.api.util.MathUtil;
 /**
 * NoiseSampler implementation to produce random, uniformly distributed (white) noise.
 */
@@ -15,7 +18,7 @@ public class PositiveWhiteNoiseSampler extends WhiteNoiseSampler {
    // Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
    public double getNoiseRaw(long seed) {
-        return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
+        return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
    }
    @Override
@@ -8,6 +8,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.random;
 import com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 /**
@@ -24,27 +27,27 @@ public class WhiteNoiseSampler extends NoiseFunction {
        long hashX = Double.doubleToRawLongBits(x) ^ seed;
        long hashZ = Double.doubleToRawLongBits(y) ^ seed;
        long hash = (((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed) + Double.doubleToRawLongBits(z);
-        return murmur64(hash);
+        return MathUtil.murmur64(hash);
    }
    public long randomBits(long seed, double x, double y) {
        long hashX = Double.doubleToRawLongBits(x) ^ seed;
        long hashZ = Double.doubleToRawLongBits(y) ^ seed;
        long hash = ((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed;
-        return murmur64(hash);
+        return MathUtil.murmur64(hash);
    }
    public double getNoiseRaw(long seed) {
-        return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
+        return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y) {
+    public double getNoiseRaw(long seed, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        return (getNoiseUnmapped(seed, x, y) - 1.5) * 2;
    }
    @Override
-    public double getNoiseRaw(long seed, double x, double y, double z) {
+    public double getNoiseRaw(long seed, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        return (getNoiseUnmapped(seed, x, y, z) - 1.5) * 2;
    }
@@ -7,13 +7,16 @@
 package com.dfsek.terra.addons.noise.samplers.noise.simplex;
 import java.util.List;
 /**
 * NoiseSampler implementation to provide OpenSimplex2 (Smooth Variant) noise.
 */
 public class OpenSimplex2SSampler extends SimplexStyleSampler {
    @Override
    @SuppressWarnings("NumericOverflow")
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        // 2D OpenSimplex2S case is a modified 2D simplex noise.
@@ -26,8 +29,8 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
        y += s;
-        int i = fastFloor(x);
+        int i = (int) Math.floor(x);
-        int j = fastFloor(y);
+        int j = (int) Math.floor(y);
        double xi = x - i;
        double yi = y - j;
@@ -121,7 +124,7 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
    @Override
    @SuppressWarnings("NumericOverflow")
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        // 3D OpenSimplex2S case uses two offset rotated cube grids.
        final double R3 = (2.0 / 3.0);
@@ -131,9 +134,9 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
        z = r - z;
-        int i = fastFloor(x);
+        int i = (int) Math.floor(x);
-        int j = fastFloor(y);
+        int j = (int) Math.floor(y);
-        int k = fastFloor(z);
+        int k = (int) Math.floor(z);
        double xi = x - i;
        double yi = y - j;
        double zi = z - k;
@@ -7,6 +7,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.simplex;
 import java.util.List;
 /**
 * NoiseSampler implementation to provide OpenSimplex2 noise.
 */
@@ -14,7 +17,7 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
    private static final double SQRT3 = 1.7320508075688772935274463415059;
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        // 2D OpenSimplex2 case uses the same algorithm as ordinary Simplex.
        final double G2 = (3 - SQRT3) / 6;
@@ -25,8 +28,8 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
        y += s;
-        int i = fastFloor(x);
+        int i = (int) Math.floor(x);
-        int j = fastFloor(y);
+        int j = (int) Math.floor(y);
        double xi = x - i;
        double yi = y - j;
@@ -75,7 +78,7 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        // 3D OpenSimplex2Sampler case uses two offset rotated cube grids.
        final double R3 = (2.0 / 3.0);
@@ -85,9 +88,9 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
        z = r - z;
-        int i = fastRound(x);
+        int i = (int) Math.round(x);
-        int j = fastRound(y);
+        int j = (int) Math.round(y);
-        int k = fastRound(z);
+        int k = (int) Math.round(z);
        double x0 = x - i;
        double y0 = y - j;
        double z0 = z - k;
@@ -7,41 +7,46 @@
 package com.dfsek.terra.addons.noise.samplers.noise.simplex;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 /**
 * NoiseSampler implementation to provide Perlin Noise.
 */
 public class PerlinSampler extends SimplexStyleSampler {
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
+        int x0 = (int) Math.floor(x);
-        int y0 = fastFloor(y);
+        int y0 = (int) Math.floor(y);
        double xd0 = x - x0;
        double yd0 = y - y0;
        double xd1 = xd0 - 1;
        double yd1 = yd0 - 1;
-        double xs = interpQuintic(xd0);
+        double xs = MathUtil.interpQuintic(xd0);
-        double ys = interpQuintic(yd0);
+        double ys = MathUtil.interpQuintic(yd0);
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
        int x1 = x0 + PRIME_X;
        int y1 = y0 + PRIME_Y;
-        double xf0 = lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
+        double xf0 = MathUtil.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);
+        double xf1 = MathUtil.lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
-        return lerp(xf0, xf1, ys) * 1.4247691104677813;
+        return MathUtil.lerp(xf0, xf1, ys) * 1.4247691104677813;
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
+        int x0 = (int) Math.floor(x);
-        int y0 = fastFloor(y);
+        int y0 = (int) Math.floor(y);
-        int z0 = fastFloor(z);
+        int z0 = (int) Math.floor(z);
        double xd0 = x - x0;
        double yd0 = y - y0;
@@ -50,9 +55,9 @@ public class PerlinSampler extends SimplexStyleSampler {
        double yd1 = yd0 - 1;
        double zd1 = zd0 - 1;
-        double xs = interpQuintic(xd0);
+        double xs = MathUtil.interpQuintic(xd0);
-        double ys = interpQuintic(yd0);
+        double ys = MathUtil.interpQuintic(yd0);
-        double zs = interpQuintic(zd0);
+        double zs = MathUtil.interpQuintic(zd0);
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
@@ -61,14 +66,14 @@ public class PerlinSampler extends SimplexStyleSampler {
        int y1 = y0 + PRIME_Y;
        int z1 = z0 + PRIME_Z;
-        double xf00 = lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
+        double xf00 = MathUtil.lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
-        double xf10 = lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
+        double xf10 = MathUtil.lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
-        double xf01 = lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
+        double xf01 = MathUtil.lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
-        double xf11 = lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
+        double xf11 = MathUtil.lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
-        double yf0 = lerp(xf00, xf10, ys);
+        double yf0 = MathUtil.lerp(xf00, xf10, ys);
-        double yf1 = lerp(xf01, xf11, ys);
+        double yf1 = MathUtil.lerp(xf01, xf11, ys);
-        return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
+        return MathUtil.lerp(yf0, yf1, zs) * 0.964921414852142333984375;
    }
 }
@@ -7,6 +7,9 @@
 package com.dfsek.terra.addons.noise.samplers.noise.simplex;
 import java.util.List;
 public class SimplexSampler extends SimplexStyleSampler {
    private static final Double2[] GRAD_2D = {
            new Double2(-1, -1), new Double2(1, -1), new Double2(-1, 1), new Double2(1, 1),
@@ -58,11 +61,11 @@ public class SimplexSampler extends SimplexStyleSampler {
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        double t = (x + y) * F2;
-        int i = fastFloor(x + t);
+        int i = (int) Math.floor(x + t);
-        int j = fastFloor(y + t);
+        int j = (int) Math.floor(y + t);
        t = (i + j) * G2;
        double X0 = i - t;
@@ -115,12 +118,12 @@ public class SimplexSampler extends SimplexStyleSampler {
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
        double t = (x + y + z) * F3;
-        int i = fastFloor(x + t);
+        int i = (int) Math.floor(x + t);
-        int j = fastFloor(y + t);
+        int j = (int) Math.floor(y + t);
-        int k = fastFloor(z + t);
+        int k = (int) Math.floor(z + t);
        t = (i + j + k) * G3;
        double x0 = x - (i - t);
@@ -7,12 +7,17 @@
 package com.dfsek.terra.addons.noise.samplers.noise.value;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class ValueCubicSampler extends ValueStyleNoise {
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x1 = fastFloor(x);
+        int x1 = (int) Math.floor(x);
-        int y1 = fastFloor(y);
+        int y1 = (int) Math.floor(y);
        double xs = x - x1;
        double ys = y - y1;
@@ -26,24 +31,24 @@ public class ValueCubicSampler extends ValueStyleNoise {
        int x3 = x1 + (PRIME_X << 1);
        int y3 = y1 + (PRIME_Y << 1);
-        return cubicLerp(
+        return MathUtil.cubicLerp(
-                cubicLerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), valCoord(seed, x2, y0), valCoord(seed, x3, y0),
+                MathUtil.cubicLerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), valCoord(seed, x2, y0), valCoord(seed, x3, y0),
                                   xs),
                MathUtil.cubicLerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), valCoord(seed, x2, y1), valCoord(seed, x3, y1),
                          xs),
-                cubicLerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), valCoord(seed, x2, y1), valCoord(seed, x3, y1),
+                MathUtil.cubicLerp(valCoord(seed, x0, y2), valCoord(seed, x1, y2), valCoord(seed, x2, y2), valCoord(seed, x3, y2),
                          xs),
-                cubicLerp(valCoord(seed, x0, y2), valCoord(seed, x1, y2), valCoord(seed, x2, y2), valCoord(seed, x3, y2),
+                MathUtil.cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
                          xs),
                cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
                          xs),
                ys) * (1 / (1.5 * 1.5));
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x1 = fastFloor(x);
+        int x1 = (int) Math.floor(x);
-        int y1 = fastFloor(y);
+        int y1 = (int) Math.floor(y);
-        int z1 = fastFloor(z);
+        int z1 = (int) Math.floor(z);
        double xs = x - x1;
        double ys = y - y1;
@@ -63,45 +68,45 @@ public class ValueCubicSampler extends ValueStyleNoise {
        int y3 = y1 + (PRIME_Y << 1);
        int z3 = z1 + (PRIME_Z << 1);
-        return cubicLerp(
+        return MathUtil.cubicLerp(
-                cubicLerp(
+                MathUtil.cubicLerp(
-                        cubicLerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), valCoord(seed, x2, y0, z0),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), valCoord(seed, x2, y0, z0),
                                  valCoord(seed, x3, y0, z0), xs),
-                        cubicLerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), valCoord(seed, x2, y1, z0),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), valCoord(seed, x2, y1, z0),
                                  valCoord(seed, x3, y1, z0), xs),
-                        cubicLerp(valCoord(seed, x0, y2, z0), valCoord(seed, x1, y2, z0), valCoord(seed, x2, y2, z0),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y2, z0), valCoord(seed, x1, y2, z0), valCoord(seed, x2, y2, z0),
                                  valCoord(seed, x3, y2, z0), xs),
-                        cubicLerp(valCoord(seed, x0, y3, z0), valCoord(seed, x1, y3, z0), valCoord(seed, x2, y3, z0),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y3, z0), valCoord(seed, x1, y3, z0), valCoord(seed, x2, y3, z0),
                                  valCoord(seed, x3, y3, z0), xs),
                        ys),
-                cubicLerp(
+                MathUtil.cubicLerp(
-                        cubicLerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), valCoord(seed, x2, y0, z1),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), valCoord(seed, x2, y0, z1),
                                  valCoord(seed, x3, y0, z1), xs),
-                        cubicLerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), valCoord(seed, x2, y1, z1),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), valCoord(seed, x2, y1, z1),
                                  valCoord(seed, x3, y1, z1), xs),
-                        cubicLerp(valCoord(seed, x0, y2, z1), valCoord(seed, x1, y2, z1), valCoord(seed, x2, y2, z1),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y2, z1), valCoord(seed, x1, y2, z1), valCoord(seed, x2, y2, z1),
                                  valCoord(seed, x3, y2, z1), xs),
-                        cubicLerp(valCoord(seed, x0, y3, z1), valCoord(seed, x1, y3, z1), valCoord(seed, x2, y3, z1),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y3, z1), valCoord(seed, x1, y3, z1), valCoord(seed, x2, y3, z1),
                                  valCoord(seed, x3, y3, z1), xs),
                        ys),
-                cubicLerp(
+                MathUtil.cubicLerp(
-                        cubicLerp(valCoord(seed, x0, y0, z2), valCoord(seed, x1, y0, z2), valCoord(seed, x2, y0, z2),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y0, z2), valCoord(seed, x1, y0, z2), valCoord(seed, x2, y0, z2),
                                  valCoord(seed, x3, y0, z2), xs),
-                        cubicLerp(valCoord(seed, x0, y1, z2), valCoord(seed, x1, y1, z2), valCoord(seed, x2, y1, z2),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y1, z2), valCoord(seed, x1, y1, z2), valCoord(seed, x2, y1, z2),
                                  valCoord(seed, x3, y1, z2), xs),
-                        cubicLerp(valCoord(seed, x0, y2, z2), valCoord(seed, x1, y2, z2), valCoord(seed, x2, y2, z2),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y2, z2), valCoord(seed, x1, y2, z2), valCoord(seed, x2, y2, z2),
                                  valCoord(seed, x3, y2, z2), xs),
-                        cubicLerp(valCoord(seed, x0, y3, z2), valCoord(seed, x1, y3, z2), valCoord(seed, x2, y3, z2),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y3, z2), valCoord(seed, x1, y3, z2), valCoord(seed, x2, y3, z2),
                                  valCoord(seed, x3, y3, z2), xs),
                        ys),
-                cubicLerp(
+                MathUtil.cubicLerp(
-                        cubicLerp(valCoord(seed, x0, y0, z3), valCoord(seed, x1, y0, z3), valCoord(seed, x2, y0, z3),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y0, z3), valCoord(seed, x1, y0, z3), valCoord(seed, x2, y0, z3),
                                  valCoord(seed, x3, y0, z3), xs),
-                        cubicLerp(valCoord(seed, x0, y1, z3), valCoord(seed, x1, y1, z3), valCoord(seed, x2, y1, z3),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y1, z3), valCoord(seed, x1, y1, z3), valCoord(seed, x2, y1, z3),
                                  valCoord(seed, x3, y1, z3), xs),
-                        cubicLerp(valCoord(seed, x0, y2, z3), valCoord(seed, x1, y2, z3), valCoord(seed, x2, y2, z3),
+                        MathUtil.cubicLerp(valCoord(seed, x0, y2, z3), valCoord(seed, x1, y2, z3), valCoord(seed, x2, y2, z3),
                                  valCoord(seed, x3, y2, z3), xs),
-                        cubicLerp(valCoord(seed, x0, y3, z3), valCoord(seed, x1, y3, z3), valCoord(seed, x2, y3, z3),
+                        MathUtil.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 / (1.5 * 1.5 * 1.5));
@@ -7,37 +7,42 @@
 package com.dfsek.terra.addons.noise.samplers.noise.value;
 import com.dfsek.terra.api.util.MathUtil;
 import java.util.List;
 public class ValueSampler extends ValueStyleNoise {
    @Override
-    public double getNoiseRaw(long sl, double x, double y) {
+    public double getNoiseRaw(long sl, double x, double y, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
+        int x0 = (int) Math.floor(x);
-        int y0 = fastFloor(y);
+        int y0 = (int) Math.floor(y);
-        double xs = interpHermite(x - x0);
+        double xs = MathUtil.interpHermite(x - x0);
-        double ys = interpHermite(y - y0);
+        double ys = MathUtil.interpHermite(y - y0);
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
        int x1 = x0 + PRIME_X;
        int y1 = y0 + PRIME_Y;
-        double xf0 = lerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), xs);
+        double xf0 = MathUtil.lerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), xs);
-        double xf1 = lerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), xs);
+        double xf1 = MathUtil.lerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), xs);
-        return lerp(xf0, xf1, ys);
+        return MathUtil.lerp(xf0, xf1, ys);
    }
    @Override
-    public double getNoiseRaw(long sl, double x, double y, double z) {
+    public double getNoiseRaw(long sl, double x, double y, double z, List<double[]> context, int contextLayer, int contextRadius) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
+        int x0 = (int) Math.floor(x);
-        int y0 = fastFloor(y);
+        int y0 = (int) Math.floor(y);
-        int z0 = fastFloor(z);
+        int z0 = (int) Math.floor(z);
-        double xs = interpHermite(x - x0);
+        double xs = MathUtil.interpHermite(x - x0);
-        double ys = interpHermite(y - y0);
+        double ys = MathUtil.interpHermite(y - y0);
-        double zs = interpHermite(z - z0);
+        double zs = MathUtil.interpHermite(z - z0);
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
@@ -46,14 +51,14 @@ public class ValueSampler extends ValueStyleNoise {
        int y1 = y0 + PRIME_Y;
        int z1 = z0 + PRIME_Z;
-        double xf00 = lerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), xs);
+        double xf00 = MathUtil.lerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), xs);
-        double xf10 = lerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), xs);
+        double xf10 = MathUtil.lerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), xs);
-        double xf01 = lerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), xs);
+        double xf01 = MathUtil.lerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), xs);
-        double xf11 = lerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), xs);
+        double xf11 = MathUtil.lerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), xs);
-        double yf0 = lerp(xf00, xf10, ys);
+        double yf0 = MathUtil.lerp(xf00, xf10, ys);
-        double yf1 = lerp(xf01, xf11, ys);
+        double yf1 = MathUtil.lerp(xf01, xf11, ys);
-        return lerp(yf0, yf1, zs);
+        return MathUtil.lerp(yf0, yf1, zs);
    }
 }
@@ -2,10 +2,5 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.ore.lib.jafama")
 }
@@ -7,14 +7,13 @@
 package com.dfsek.terra.addons.ore.ores;
 import net.jafama.FastMath;
 import java.util.Map;
 import java.util.Random;
 import com.dfsek.terra.api.block.BlockType;
 import com.dfsek.terra.api.block.state.BlockState;
 import com.dfsek.terra.api.structure.Structure;
 import com.dfsek.terra.api.util.MathUtil;
 import com.dfsek.terra.api.util.Rotation;
 import com.dfsek.terra.api.util.collection.MaterialSet;
 import com.dfsek.terra.api.util.vector.Vector3Int;
@@ -50,10 +49,10 @@ public class VanillaOre implements Structure {
        float f = random.nextFloat() * (float) Math.PI;
-        double d1 = centerX + 8 + FastMath.sin(f) * size / 8.0F;
+        double d1 = centerX + 8 + MathUtil.sin(f) * size / 8.0F;
-        double d2 = centerX + 8 - FastMath.sin(f) * size / 8.0F;
+        double d2 = centerX + 8 - MathUtil.sin(f) * size / 8.0F;
-        double d3 = centerZ + 8 + FastMath.cos(f) * size / 8.0F;
+        double d3 = centerZ + 8 + MathUtil.cos(f) * size / 8.0F;
-        double d4 = centerZ + 8 - FastMath.cos(f) * size / 8.0F;
+        double d4 = centerZ + 8 - MathUtil.cos(f) * size / 8.0F;
        double d5 = centerY + random.nextInt(3) - 2D;
        double d6 = centerY + random.nextInt(3) - 2D;
@@ -62,16 +61,16 @@ public class VanillaOre implements Structure {
            float iFactor = (float) i / (float) size;
            double d10 = random.nextDouble() * size / 16.0D;
-            double d11 = (FastMath.sin(Math.PI * iFactor) + 1.0) * d10 + 1.0;
+            double d11 = (MathUtil.sin(Math.PI * iFactor) + 1.0) * d10 + 1.0;
-            double d12 = (FastMath.sin(Math.PI * iFactor) + 1.0) * d10 + 1.0;
+            double d12 = (MathUtil.sin(Math.PI * iFactor) + 1.0) * d10 + 1.0;
-            int xStart = FastMath.roundToInt(FastMath.floor(d1 + (d2 - d1) * iFactor - d11 / 2.0D));
+            int xStart = (int) Math.round(Math.floor(d1 + (d2 - d1) * iFactor - d11 / 2.0D));
-            int yStart = FastMath.roundToInt(FastMath.floor(d5 + (d6 - d5) * iFactor - d12 / 2.0D));
+            int yStart = (int) Math.round(Math.floor(d5 + (d6 - d5) * iFactor - d12 / 2.0D));
-            int zStart = FastMath.roundToInt(FastMath.floor(d3 + (d4 - d3) * iFactor - d11 / 2.0D));
+            int zStart = (int) Math.round(Math.floor(d3 + (d4 - d3) * iFactor - d11 / 2.0D));
-            int xEnd = FastMath.roundToInt(FastMath.floor(d1 + (d2 - d1) * iFactor + d11 / 2.0D));
+            int xEnd = (int) Math.round(Math.floor(d1 + (d2 - d1) * iFactor + d11 / 2.0D));
-            int yEnd = FastMath.roundToInt(FastMath.floor(d5 + (d6 - d5) * iFactor + d12 / 2.0D));
+            int yEnd = (int) Math.round(Math.floor(d5 + (d6 - d5) * iFactor + d12 / 2.0D));
-            int zEnd = FastMath.roundToInt(FastMath.floor(d3 + (d4 - d3) * iFactor + d11 / 2.0D));
+            int zEnd = (int) Math.round(Math.floor(d3 + (d4 - d3) * iFactor + d11 / 2.0D));
            for(int x = xStart; x <= xEnd; x++) {
                double d13 = (x + 0.5D - (d1 + (d2 - d1) * iFactor)) / (d11 / 2.0D);
@@ -3,11 +3,4 @@ version = version("1.0.0")
 dependencies {
    api("com.googlecode.json-simple:json-simple:1.1.1")
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
    relocate("net.jafama", "com.dfsek.terra.addons.structure.lib.jafama")
 }
@@ -7,7 +7,6 @@
 package com.dfsek.terra.addons.structure.structures.loot;
 import net.jafama.FastMath;
 import org.json.simple.JSONArray;
 import org.json.simple.JSONObject;
@@ -62,12 +61,12 @@ public class Entry {
                            max = (long) ((JSONObject) loot).get("max");
                            min = (long) ((JSONObject) loot).get("min");
                        }
-                        functions.add(new AmountFunction(FastMath.toIntExact(min), FastMath.toIntExact(max)));
+                        functions.add(new AmountFunction(Math.toIntExact(min), Math.toIntExact(max)));
                    }
                    case "minecraft:set_damage", "set_damage" -> {
                        long maxDamage = (long) ((JSONObject) ((JSONObject) function).get("damage")).get("max");
                        long minDamage = (long) ((JSONObject) ((JSONObject) function).get("damage")).get("min");
-                        functions.add(new DamageFunction(FastMath.toIntExact(minDamage), FastMath.toIntExact(maxDamage)));
+                        functions.add(new DamageFunction(Math.toIntExact(minDamage), Math.toIntExact(maxDamage)));
                    }
                    case "minecraft:enchant_with_levels", "enchant_with_levels" -> {
                        long maxEnchant = (long) ((JSONObject) ((JSONObject) function).get("levels")).get("max");
@@ -76,7 +75,7 @@ public class Entry {
                        if(((JSONObject) function).containsKey("disabled_enchants"))
                            disabled = (JSONArray) ((JSONObject) function).get("disabled_enchants");
                        functions.add(
-                                new EnchantFunction(FastMath.toIntExact(minEnchant), FastMath.toIntExact(maxEnchant), disabled, platform));
+                                new EnchantFunction(Math.toIntExact(minEnchant), Math.toIntExact(maxEnchant), disabled, platform));
                    }
                }
            }
@@ -7,7 +7,6 @@
 package com.dfsek.terra.addons.structure.structures.loot;
 import net.jafama.FastMath;
 import org.json.simple.JSONArray;
 import org.json.simple.JSONObject;
@@ -37,16 +36,16 @@ public class Pool {
        entries = new ProbabilityCollection<>();
        Object amount = pool.get("rolls");
        if(amount instanceof Long) {
-            max = FastMath.toIntExact((Long) amount);
+            max = Math.toIntExact((Long) amount);
-            min = FastMath.toIntExact((Long) amount);
+            min = Math.toIntExact((Long) amount);
        } else {
-            max = FastMath.toIntExact((Long) ((JSONObject) amount).get("max"));
+            max = Math.toIntExact((Long) ((JSONObject) amount).get("max"));
-            min = FastMath.toIntExact((Long) ((JSONObject) amount).get("min"));
+            min = Math.toIntExact((Long) ((JSONObject) amount).get("min"));
        }
        for(Object entryJSON : (JSONArray) pool.get("entries")) {
            Entry entry = new Entry((JSONObject) entryJSON, platform);
-            entries.add(entry, FastMath.toIntExact(entry.getWeight()));
+            entries.add(entry, Math.toIntExact(entry.getWeight()));
        }
    }
@@ -7,7 +7,6 @@
 package com.dfsek.terra.addons.structure.structures.loot.functions;
 import net.jafama.FastMath;
 import org.json.simple.JSONArray;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -57,7 +56,7 @@ public class EnchantFunction implements LootFunction {
                possible.add(ench);
            }
        }
-        int numEnchant = (r.nextInt((int) FastMath.abs(enchant)) / 10 + 1);
+        int numEnchant = (r.nextInt((int) Math.abs(enchant)) / 10 + 1);
        Collections.shuffle(possible);
        ItemMeta meta = original.getItemMeta();
        iter:
@@ -68,12 +67,12 @@ public class EnchantFunction implements LootFunction {
            }
            int lvl = r.nextInt(1 + (int) (((enchant / 40 > 1) ? 1 : enchant / 40) * (chosen.getMaxLevel())));
            try {
-                meta.addEnchantment(chosen, FastMath.max(lvl, 1));
+                meta.addEnchantment(chosen, Math.max(lvl, 1));
            } catch(IllegalArgumentException e) {
                LOGGER.warn(
                        "Attempted to enchant {} with {} at level {}, but an unexpected exception occurred! Usually this is caused by a " +
                        "misbehaving enchantment plugin.",
-                        original.getType(), chosen, FastMath.max(lvl, 1));
+                        original.getType(), chosen, Math.max(lvl, 1));
            }
        }
        original.setItemMeta(meta);
@@ -3,6 +3,6 @@ version = version("1.0.0")
 dependencies {
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
-    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
+
-    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
+
 }
@@ -4,20 +4,20 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import java.util.function.Supplier;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.config.ColorLoader;
 import com.dfsek.terra.addons.image.config.ColorLoader.ColorString;
 import com.dfsek.terra.addons.image.config.noisesampler.ChannelNoiseSamplerTemplate;
 import com.dfsek.terra.addons.image.config.noisesampler.DistanceTransformNoiseSamplerTemplate;
 import com.dfsek.terra.addons.image.config.image.ImageTemplate;
 import com.dfsek.terra.addons.image.config.image.StitchedImageTemplate;
 import com.dfsek.terra.addons.image.config.colorsampler.ConstantColorSamplerTemplate;
 import com.dfsek.terra.addons.image.config.colorsampler.image.SingleImageColorSamplerTemplate;
 import com.dfsek.terra.addons.image.config.colorsampler.image.TileImageColorSamplerTemplate;
 import com.dfsek.terra.addons.image.config.colorsampler.mutate.RotateColorSamplerTemplate;
 import com.dfsek.terra.addons.image.config.colorsampler.mutate.TranslateColorSamplerTemplate;
 import com.dfsek.terra.addons.image.config.image.ImageTemplate;
 import com.dfsek.terra.addons.image.config.image.StitchedImageTemplate;
 import com.dfsek.terra.addons.image.config.noisesampler.ChannelNoiseSamplerTemplate;
 import com.dfsek.terra.addons.image.config.noisesampler.DistanceTransformNoiseSamplerTemplate;
 import com.dfsek.terra.addons.image.image.Image;
 import com.dfsek.terra.addons.image.operator.DistanceTransform;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.manifest.api.AddonInitializer;
 import com.dfsek.terra.api.Platform;
 import com.dfsek.terra.api.addon.BaseAddon;
@@ -1,8 +1,8 @@
 package com.dfsek.terra.addons.image.colorsampler.image;
 import com.dfsek.terra.addons.image.image.Image;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.colorsampler.image.transform.ImageTransformation;
 import com.dfsek.terra.addons.image.image.Image;
 public class SingleImageColorSampler implements ColorSampler {
@@ -1,10 +1,8 @@
 package com.dfsek.terra.addons.image.colorsampler.image;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.image.image.Image;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.colorsampler.image.transform.ImageTransformation;
 import com.dfsek.terra.addons.image.image.Image;
 public class TileImageColorSampler implements ColorSampler {
@@ -22,6 +20,6 @@ public class TileImageColorSampler implements ColorSampler {
    public int apply(int x, int z) {
        x = transformation.transformX(image, x);
        z = transformation.transformZ(image, z);
-        return image.getRGB(FastMath.floorMod(x, image.getWidth()), FastMath.floorMod(z, image.getHeight()));
+        return image.getRGB(Math.floorMod(x, image.getWidth()), Math.floorMod(z, image.getHeight()));
    }
 }
@@ -1,8 +1,7 @@
 package com.dfsek.terra.addons.image.colorsampler.mutate;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.api.util.MathUtil;
 public class RotateColorSampler implements ColorSampler {
@@ -29,7 +28,7 @@ public class RotateColorSampler implements ColorSampler {
        else
            rotationMethod = RotationMethod.RAD_ANY;
-        this.radians = FastMath.toRadians(degrees);
+        this.radians = Math.toRadians(degrees);
    }
    @Override
@@ -39,14 +38,14 @@ public class RotateColorSampler implements ColorSampler {
            case DEG_90 -> -z;
            case DEG_180 -> -x;
            case DEG_270 -> z;
-            case RAD_ANY -> (int) (x * FastMath.cos(radians) - z * FastMath.sin(radians));
+            case RAD_ANY -> (int) (x * MathUtil.cos(radians) - z * MathUtil.sin(radians));
        };
        int rz = switch(rotationMethod) {
            case DEG_0 -> z;
            case DEG_90 -> x;
            case DEG_180 -> -z;
            case DEG_270 -> -x;
-            case RAD_ANY -> (int) (z * FastMath.cos(radians) + x * FastMath.sin(radians));
+            case RAD_ANY -> (int) (z * MathUtil.cos(radians) + x * MathUtil.sin(radians));
        };
        return sampler.apply(rx, rz);
    }
@@ -4,9 +4,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import com.dfsek.terra.addons.image.image.Image;
 import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.colorsampler.image.transform.Alignment;
 import com.dfsek.terra.addons.image.image.Image;
 public abstract class ImageColorSamplerTemplate implements ObjectTemplate<ColorSampler> {
@@ -4,8 +4,7 @@ import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
 import com.dfsek.terra.addons.image.util.ColorUtil;
 import com.dfsek.terra.addons.image.util.ColorUtil.Channel;
 import com.dfsek.terra.api.noise.NoiseSampler;
-
+import com.dfsek.terra.api.util.MathUtil;
 import static com.dfsek.terra.addons.image.util.MathUtil.lerp;
 public class ChannelNoiseSampler implements NoiseSampler {
@@ -30,7 +29,7 @@ public class ChannelNoiseSampler implements NoiseSampler {
        int sample = colorSampler.apply((int) x, (int) y);
        int premultiplied = premultiply ? ColorUtil.premultiply(sample) : sample;
        double channelValue = channel.from(premultiplied);
-        return normalize ? lerp(channelValue, 0, -1, 255, 1) : channelValue;
+        return normalize ? MathUtil.linearMap(channelValue, 0, -1, 255, 1) : channelValue;
    }
    @Override
@@ -1,13 +1,10 @@
 package com.dfsek.terra.addons.image.operator;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.image.image.Image;
 import com.dfsek.terra.addons.image.util.ColorUtil;
 import com.dfsek.terra.addons.image.util.ColorUtil.Channel;
 import com.dfsek.terra.api.noise.NoiseSampler;
-
+import com.dfsek.terra.api.util.MathUtil;
 import static com.dfsek.terra.addons.image.util.MathUtil.lerp;
 /**
@@ -115,7 +112,7 @@ public class DistanceTransform {
                row[x] = d[x][y];
            row = calculateDistance1D(row);
            for(int x = 0; x < f[0].length; x++) {
-                d[x][y] = FastMath.sqrt(row[x]);
+                d[x][y] = Math.sqrt(row[x]);
            }
        }
        return d;
@@ -130,10 +127,10 @@ public class DistanceTransform {
        z[0] = Integer.MIN_VALUE;
        z[1] = Integer.MAX_VALUE;
        for(int q = 1; q <= f.length-1; q++) {
-            double s = ((f[q]+FastMath.pow2(q))-(f[v[k]]+FastMath.pow2(v[k])))/(2*q-2*v[k]);
+            double s = ((f[q]+Math.pow(q, 2))-(f[v[k]]+Math.pow(v[k], 2)))/(2*q-2*v[k]);
            while (s <= z[k]) {
                k--;
-                s = ((f[q]+FastMath.pow2(q))-(f[v[k]]+FastMath.pow2(v[k])))/(2*q-2*v[k]);
+                s = ((f[q]+Math.pow(q, 2))-(f[v[k]]+Math.pow(v[k], 2)))/(2*q-2*v[k]);
            }
            k++;
            v[k] = q;
@@ -145,7 +142,7 @@ public class DistanceTransform {
        for(int q = 0; q <= f.length-1; q++) {
            while(z[k+1] < q)
                k++;
-            d[q] = FastMath.pow2(q-v[k]) + f[v[k]];
+            d[q] = Math.pow(q-v[k], 2) + f[v[k]];
        }
        return d;
    }
@@ -159,16 +156,16 @@ public class DistanceTransform {
                double d = distances[x][y];
                distances[x][y] = switch(normalization) {
                    case None -> distances[x][y];
-                    case Linear -> lerp(d, minDistance, -1, maxDistance, 1);
+                    case Linear -> MathUtil.linearMap(d, minDistance, -1, maxDistance, 1);
                    case SmoothPreserveZero -> {
                        if(minDistance > 0 || maxDistance < 0) {
                            // Can't preserve zero if it is not contained in range so just lerp
-                            yield lerp(distances[x][y], minDistance, -1, maxDistance, 1);
+                            yield MathUtil.linearMap(distances[x][y], minDistance, -1, maxDistance, 1);
                        } else {
                            if(d > 0) {
-                                yield FastMath.pow2(d/maxDistance);
+                                yield Math.pow(d/maxDistance, 2);
                            } else if(d < 0) {
-                                yield -FastMath.pow2(d/minDistance);
+                                yield -Math.pow(d/minDistance, 2);
                            } else {
                                yield 0;
                            }
@@ -231,7 +228,7 @@ public class DistanceTransform {
        @Override
        public double noise(long seed, double x, double y) {
            if(x<0 || y<0 || x>=transform.width || y>=transform.height) return transform.minDistance;
-            return transform.distances[FastMath.floorToInt(x)][FastMath.floorToInt(y)];
+            return transform.distances[(int) Math.floor(x)][(int) Math.floor(y)];
        }
        @Override
@@ -1,8 +1,5 @@
 package com.dfsek.terra.addons.image.util;
 import net.jafama.FastMath;
 /**
 * Utility class for manipulating 8 bit ARGB colors
 */
@@ -11,9 +8,9 @@ public class ColorUtil {
    private ColorUtil() {}
    public static int distance(int a, int b) {
-        return FastMath.abs(getRed(a) - getRed(b)) +
+        return Math.abs(getRed(a) - getRed(b)) +
-               FastMath.abs(getGreen(a) - getGreen(b)) +
+               Math.abs(getGreen(a) - getGreen(b)) +
-               FastMath.abs(getBlue(a) - getBlue(b));
+               Math.abs(getBlue(a) - getBlue(b));
    }
    /**
@@ -1,9 +0,0 @@
 package com.dfsek.terra.addons.image.util;
 public class MathUtil {
    private MathUtil() {}
    public static double lerp(double x, double x1, double y1, double x2, double y2) {
        return (((y1-y2)*(x-x1))/(x1-x2))+y1;
    }
 }
@@ -5,11 +5,4 @@ version = version("1.1.0")
 dependencies {
    api("commons-io:commons-io:2.7")
    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
 }
 tasks.named<ShadowJar>("shadowJar") {
    relocate("org.apache.commons", "com.dfsek.terra.addons.terrascript.lib.commons")
    relocate("net.jafama", "com.dfsek.terra.addons.terrascript.lib.jafama")
 }
@@ -1,8 +1,6 @@
 package com.dfsek.terra.addons.terrascript.parser.lang;
 import net.jafama.FastMath;
 import java.util.HashMap;
 import java.util.Map;
@@ -102,21 +100,21 @@ public class Scope {
        }
        private void updateBoolSize(int size) {
-            this.boolSize = FastMath.max(boolSize, size);
+            this.boolSize = Math.max(boolSize, size);
            if(parent != null) {
                parent.updateBoolSize(size);
            }
        }
        private void updateNumSize(int size) {
-            this.numSize = FastMath.max(numSize, size);
+            this.numSize = Math.max(numSize, size);
            if(parent != null) {
                parent.updateNumSize(size);
            }
        }
        private void updateStrSize(int size) {
-            this.strSize = FastMath.max(strSize, size);
+            this.strSize = Math.max(strSize, size);
            if(parent != null) {
                parent.updateStrSize(size);
            }
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.terrascript.parser.lang.operations.statements;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.terrascript.parser.lang.ImplementationArguments;
 import com.dfsek.terra.addons.terrascript.parser.lang.Returnable;
 import com.dfsek.terra.addons.terrascript.parser.lang.Scope;
@@ -40,7 +38,7 @@ public class EqualsStatement extends BinaryOperation<Object, Boolean> {
        Object leftValue = left.apply(implementationArguments, scope);
        Object rightValue = right.apply(implementationArguments, scope);
        if(leftValue instanceof Number l && rightValue instanceof Number r) {
-            return FastMath.abs(l.doubleValue() - r.doubleValue()) <= EPSILON;
+            return Math.abs(l.doubleValue() - r.doubleValue()) <= EPSILON;
        }
        return leftValue.equals(rightValue);
@@ -7,8 +7,6 @@
 package com.dfsek.terra.addons.terrascript.parser.lang.operations.statements;
 import net.jafama.FastMath;
 import com.dfsek.terra.addons.terrascript.parser.lang.ImplementationArguments;
 import com.dfsek.terra.addons.terrascript.parser.lang.Returnable;
 import com.dfsek.terra.addons.terrascript.parser.lang.Scope;
@@ -33,7 +31,7 @@ public class NotEqualsStatement extends BinaryOperation<Object, Boolean> {
        Object leftValue = left.apply(implementationArguments, scope);
        Object rightValue = right.apply(implementationArguments, scope);
        if(leftValue instanceof Number l && rightValue instanceof Number r) {
-            return FastMath.abs(l.doubleValue() - r.doubleValue()) > EPSILON;
+            return Math.abs(l.doubleValue() - r.doubleValue()) > EPSILON;
        }
        return !leftValue.equals(rightValue);
@@ -7,7 +7,6 @@
 package com.dfsek.terra.addons.terrascript.script;
 import net.jafama.FastMath;
 import org.apache.commons.io.IOUtils;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -44,6 +43,7 @@ import com.dfsek.terra.api.registry.key.Keyed;
 import com.dfsek.terra.api.registry.key.RegistryKey;
 import com.dfsek.terra.api.structure.LootTable;
 import com.dfsek.terra.api.structure.Structure;
 import com.dfsek.terra.api.util.MathUtil;
 import com.dfsek.terra.api.util.Rotation;
 import com.dfsek.terra.api.util.vector.Vector3Int;
 import com.dfsek.terra.api.world.WritableWorld;
@@ -100,25 +100,25 @@ public class StructureScript implements Structure, Keyed<StructureScript> {
                                                                                  Returnable.ReturnType.NUMBER))
                .registerFunction("print",
                                  new UnaryStringFunctionBuilder(string -> LOGGER.info("[TerraScript:{}] {}", id, string)))
-                .registerFunction("abs", new UnaryNumberFunctionBuilder(number -> FastMath.abs(number.doubleValue())))
+                .registerFunction("abs", new UnaryNumberFunctionBuilder(number -> Math.abs(number.doubleValue())))
-                .registerFunction("pow2", new UnaryNumberFunctionBuilder(number -> FastMath.pow2(number.doubleValue())))
+                .registerFunction("pow2", new UnaryNumberFunctionBuilder(number -> Math.pow(number.doubleValue(), 2)))
                .registerFunction("pow", new BinaryNumberFunctionBuilder(
-                        (number, number2) -> FastMath.pow(number.doubleValue(), number2.doubleValue())))
+                        (number, number2) -> Math.pow(number.doubleValue(), number2.doubleValue())))
-                .registerFunction("sqrt", new UnaryNumberFunctionBuilder(number -> FastMath.sqrt(number.doubleValue())))
+                .registerFunction("sqrt", new UnaryNumberFunctionBuilder(number -> Math.sqrt(number.doubleValue())))
-                .registerFunction("floor", new UnaryNumberFunctionBuilder(number -> FastMath.floor(number.doubleValue())))
+                .registerFunction("floor", new UnaryNumberFunctionBuilder(number -> Math.floor(number.doubleValue())))
-                .registerFunction("ceil", new UnaryNumberFunctionBuilder(number -> FastMath.ceil(number.doubleValue())))
+                .registerFunction("ceil", new UnaryNumberFunctionBuilder(number -> Math.ceil(number.doubleValue())))
-                .registerFunction("log", new UnaryNumberFunctionBuilder(number -> FastMath.log(number.doubleValue())))
+                .registerFunction("log", new UnaryNumberFunctionBuilder(number -> Math.log(number.doubleValue())))
-                .registerFunction("round", new UnaryNumberFunctionBuilder(number -> FastMath.round(number.doubleValue())))
+                .registerFunction("round", new UnaryNumberFunctionBuilder(number -> Math.round(number.doubleValue())))
-                .registerFunction("sin", new UnaryNumberFunctionBuilder(number -> FastMath.sin(number.doubleValue())))
+                .registerFunction("sin", new UnaryNumberFunctionBuilder(number -> MathUtil.sin(number.doubleValue())))
-                .registerFunction("cos", new UnaryNumberFunctionBuilder(number -> FastMath.cos(number.doubleValue())))
+                .registerFunction("cos", new UnaryNumberFunctionBuilder(number -> MathUtil.cos(number.doubleValue())))
-                .registerFunction("tan", new UnaryNumberFunctionBuilder(number -> FastMath.tan(number.doubleValue())))
+                .registerFunction("tan", new UnaryNumberFunctionBuilder(number -> Math.tan(number.doubleValue())))
-                .registerFunction("asin", new UnaryNumberFunctionBuilder(number -> FastMath.asin(number.doubleValue())))
+                .registerFunction("asin", new UnaryNumberFunctionBuilder(number -> Math.asin(number.doubleValue())))
-                .registerFunction("acos", new UnaryNumberFunctionBuilder(number -> FastMath.acos(number.doubleValue())))
+                .registerFunction("acos", new UnaryNumberFunctionBuilder(number -> Math.acos(number.doubleValue())))
-                .registerFunction("atan", new UnaryNumberFunctionBuilder(number -> FastMath.atan(number.doubleValue())))
+                .registerFunction("atan", new UnaryNumberFunctionBuilder(number -> Math.atan(number.doubleValue())))
                .registerFunction("max", new BinaryNumberFunctionBuilder(
-                        (number, number2) -> FastMath.max(number.doubleValue(), number2.doubleValue())))
+                        (number, number2) -> Math.max(number.doubleValue(), number2.doubleValue())))
                .registerFunction("min", new BinaryNumberFunctionBuilder(
-                        (number, number2) -> FastMath.min(number.doubleValue(), number2.doubleValue())));
+                        (number, number2) -> Math.min(number.doubleValue(), number2.doubleValue())));
        if(!platform.getTerraConfig().isDebugScript()) {
            parser.ignoreFunction("debugBlock");
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Zoë Gidiere	18094f511a	Noise context api	2023-10-08 15:58:59 -06:00
Zoë Gidiere	6d67a0747d	Math.pow(x, -1) seems to be faster than 1/x on my machine	2023-10-08 01:32:43 -06:00
Zoë Gidiere	2144da5466	more opt and fix bug	2023-10-08 01:14:11 -06:00
Zoë Gidiere	be1a09b97a	actually a pretty significant uplift	2023-10-07 23:19:21 -06:00
Zoë Gidiere	dcddc0504e	detect fma	2023-10-07 22:44:19 -06:00
Zoë Gidiere	f384d09376	yet another micro opt	2023-10-07 22:11:28 -06:00
Zoë Gidiere	6fd72b8f06	another one	2023-10-07 21:21:34 -06:00
Zoë Gidiere	1f8d2100ff	another micro opt	2023-10-07 21:01:49 -06:00
Zoë Gidiere	29e5b9f3ff	Some opts	2023-10-07 18:23:36 -06:00
Zoë Gidiere	2f1b8690ff	oops accidentally left some experimental changes	2023-10-07 14:14:04 -06:00
Zoë Gidiere	3d571d4bf2	Remove FastMath hotspot has intrinsics for almost everything we use it for	2023-10-07 14:10:21 -06:00
Zoë Gidiere	41b8a9fa18	micro div opt	2023-10-06 00:32:42 -06:00
Zoë Gidiere	aab24c4303	forgot you can add negative values	2023-10-05 22:09:45 -06:00
Zoë Gidiere	6d690d788b	fma	2023-10-05 22:00:10 -06:00
Zoë Gidiere	eb2468c8a5	tweak	2023-10-05 21:52:04 -06:00
Zoë Gidiere	4983e559b3	minor sdf opts	2023-10-05 21:43:50 -06:00
Zoë Gidiere	8fba3f9e60	flatten array	2023-10-05 20:47:52 -06:00
Astrash	9444f9236d	Replace numbers with constants	2023-10-06 12:54:26 +11:00
Astrash	809be3cb8f	Hopefully fix artifacting	2023-10-06 11:49:02 +11:00
Astrash	d189ce832b	Fix NaN	2023-10-06 10:10:12 +11:00
Astrash	0ebbb62b40	Partial pseudoerosion implementation This does not work fully, and produces some artifacts.	2023-10-06 09:51:00 +11:00