Merge branch 'ver/6.4.0' into dev/image-caching

implement missing methods from last comit
add zero and unit vectors
2026-05-20 08:40:26 +00:00 · 2023-10-26 12:56:17 -06:00 · 2023-10-26 12:53:55 -06:00 · 2023-10-26 11:08:36 -06:00 · 2023-10-26 10:43:13 -06:00 · 2023-10-26 10:37:25 -06:00
237 changed files with 3159 additions and 1371 deletions
@@ -47,14 +47,7 @@ JARs are produced in `platforms/<platform>/build/libs`.
 To run Minecraft with Terra in the IDE (for testing) use the following tasks:

 * Bukkit
-    * `installPaper` - Install a [Paper](https://github.com/PaperMC/Paper) test
-      server. (Only needs to be run once).
-    * `installPurpur` - Install a [Purpur](https://github.com/pl3xgaming/Purpur)
-      test server. (Only needs to be run once).
-    * `runPaper` - Run the Paper test server with Terra (`installPaper` must
-      have been run previously).
-    * `runPurpur` - Run the Purpur test server with Terra (`installPurpur` must
-      have been run previously).
+    * `runServer` - Run the Paper test server with Terra installed.
 * Fabric
    * `runClient` - Run a Minecraft Fabric client with Terra installed.
    * `runServer` - Run a Minecraft Fabric server with Terra installed.
@@ -1,8 +1,8 @@
 preRelease(true)

-versionProjects(":common:api", version("6.3.0"))
-versionProjects(":common:implementation", version("6.3.0"))
-versionProjects(":platforms", version("6.3.0"))
+versionProjects(":common:api", version("6.4.0"))
+versionProjects(":common:implementation", version("6.4.0"))
+versionProjects(":platforms", version("6.4.0"))


 allprojects {
@@ -3,15 +3,6 @@ plugins {
    kotlin("jvm") version embeddedKotlinVersion
 }

-buildscript {
-    configurations.all {
-        resolutionStrategy {
-            force("org.ow2.asm:asm:9.3") // TODO: remove when ShadowJar updates ASM version
-            force("org.ow2.asm:asm-commons:9.3")
-        }
-    }
-}
-
 repositories {
    mavenCentral()
    gradlePluginPortal()
@@ -24,11 +15,12 @@ repositories {
 }

 dependencies {
-    implementation("gradle.plugin.com.github.jengelman.gradle.plugins:shadow:+")
-    implementation("io.papermc.paperweight.userdev:io.papermc.paperweight.userdev.gradle.plugin:1.3.5")
+    //TODO Allow pulling from Versions.kt
+    implementation("com.github.johnrengelman", "shadow", "8.1.1")
+    implementation("io.papermc.paperweight.userdev", "io.papermc.paperweight.userdev.gradle.plugin","1.5.6")
    
-    implementation("org.ow2.asm:asm:9.3")
-    implementation("org.ow2.asm:asm-tree:9.3")
-    implementation("com.dfsek.tectonic:common:4.2.0")
-    implementation("org.yaml:snakeyaml:1.27")
+    implementation("org.ow2.asm", "asm", "9.5")
+    implementation("org.ow2.asm", "asm-tree", "9.5")
+    implementation("com.dfsek.tectonic", "common", "4.2.0")
+    implementation("org.yaml", "snakeyaml", "2.2")
 }
@@ -48,6 +48,9 @@ fun Project.configureDependencies() {
        maven("https://jitpack.io") {
            name = "JitPack"
        }
+        maven("https://nexuslite.gcnt.net/repos/other/") {
+            name = "GCNT"
+        }
    }
    
    dependencies {
@@ -58,4 +61,4 @@ fun Project.configureDependencies() {
        compileOnly("com.google.guava:guava:30.0-jre")
        testImplementation("com.google.guava:guava:30.0-jre")
    }
-}
+}
@@ -1,68 +1,70 @@
 object Versions {
    object Libraries {
-        const val tectonic = "4.2.0"
-        const val paralithic = "0.7.0"
-        const val strata = "1.1.1"
+        const val tectonic = "4.2.1"
+        const val paralithic = "0.7.1"
+        const val strata = "1.3.2"
        
-        const val cloud = "1.8.0"
+        const val cloud = "1.8.4"
        
-        const val slf4j = "1.7.36"
-        const val log4j_slf4j_impl = "2.14.1"
+        const val slf4j = "2.0.9"
+        const val log4j_slf4j_impl = "2.20.0"
        
        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 shadow = "8.1.1"
+            const val apacheText = "1.10.0"
+            const val apacheIO = "2.14.0"
+            const val guava = "32.1.3-jre"
+            const val asm = "9.5"
+            const val snakeYml = "2.2"
        }
    }
    
    object Fabric {
-        const val fabricLoader = "0.14.8"
-        const val fabricAPI = "0.78.0+1.19.4"
-    }
-    
-    object Quilt {
-        const val quiltLoader = "0.17.0"
-        const val fabricApi = "6.0.0-beta.3+0.76.0-1.19.4"
+        const val fabricAPI = "0.90.0+${Mod.minecraft}"
    }
+//
+//    object Quilt {
+//        const val quiltLoader = "0.20.2"
+//        const val fabricApi = "7.3.1+0.89.3-1.20.1"
+//    }
    
    object Mod {
-        const val mixin = "0.11.2+mixin.0.8.5"
+        const val mixin = "0.12.5+mixin.0.8.5"
        
-        const val minecraft = "1.19.4"
-        const val yarn = "$minecraft+build.2"
-        const val fabricLoader = "0.14.2"
+        const val minecraft = "1.20.2"
+        const val yarn = "$minecraft+build.4"
+        const val fabricLoader = "0.14.23"
        
-        const val architecuryLoom = "0.12.0.290"
-        const val architecturyPlugin = "3.4-SNAPSHOT"
+        const val architecuryLoom = "1.3.357"
+        const val architecturyPlugin = "3.4.146"
        
-        const val loomQuiltflower = "1.7.1"
+        const val loomVineflower = "1.11.0"
    }
    
    object Forge {
-        const val forge = "${Mod.minecraft}-45.0.43"
-        const val burningwave = "12.53.0"
+        const val forge = "${Mod.minecraft}-48.0.13"
+        const val burningwave = "12.63.0"
    }
    
    object Bukkit {
        const val paper = "1.18.2-R0.1-SNAPSHOT"
        const val paperLib = "1.0.5"
-        const val minecraft = "1.19.4"
+        const val foliaLib = "0.2.5"
+        const val minecraft = "1.20.2"
        const val reflectionRemapper = "0.1.0-SNAPSHOT"
-        const val paperDevBundle = "1.19.4-R0.1-SNAPSHOT"
+        const val paperDevBundle = "1.20.2-R0.1-SNAPSHOT"
+        const val runPaper = "2.2.0"
+        const val paperWeight = "1.5.6"
    }
-    
-    object Sponge {
-        const val sponge = "9.0.0-SNAPSHOT"
-        const val mixin = "0.8.2"
-        const val minecraft = "1.17.1"
-    }
-    
+//
+//    object Sponge {
+//        const val sponge = "9.0.0-SNAPSHOT"
+//        const val mixin = "0.8.2"
+//        const val minecraft = "1.17.1"
+//    }
+//
    object CLI {
        const val nbt = "6.1"
-        const val logback = "1.2.9"
-        const val commonsIO = "2.7"
-        const val guava = "31.0.1-jre"
+        const val logback = "1.4.11"
    }
 }
@@ -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()),
-                                              FastMath.floorMod(z - image.getHeight() / 2, image.getHeight())));
+                return new Color(image.getRGB(Math.floorMod(x - image.getWidth() / 2, image.getWidth()),
+                                              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())));
            }
        };
        
@@ -50,6 +50,7 @@ public class ImageBiomeProviderAddon implements AddonInitializer {
                                              () -> new ImageProviderTemplate(event.getPack().getRegistry(Biome.class)));
                })
                .failThrough();
-        logger.warn("The biome-provider-image addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-image-v2 addon for future pack development instead.");
+        if(platform.getTerraConfig().isDebugLog())
+            logger.warn("The biome-provider-image addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-image-v2 addon for future pack development instead.");
    }
 }
@@ -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;
@@ -37,7 +36,7 @@ public class PipelineBiomeProvider implements BiomeProvider {
        this.noiseAmp = noiseAmp;
        this.chunkSize = pipeline.getChunkSize();
        this.biomeChunkCache = Caffeine.newBuilder()
-                                       .maximumSize(1024)
+                                       .maximumSize(64)
                                       .build(pipeline::generateChunk);
    
        Set<PipelineBiome> biomeSet = new HashSet<>();
@@ -81,8 +80,8 @@ public class PipelineBiomeProvider implements BiomeProvider {
        x /= resolution;
        z /= resolution;
        
-        int chunkX = FastMath.floorDiv(x, chunkSize);
-        int chunkZ = FastMath.floorDiv(z, chunkSize);
+        int chunkX = Math.floorDiv(x, 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;
@@ -54,6 +54,6 @@ public class BiomePipelineTemplate implements ObjectTemplate<BiomeProvider> {
    
    @Override
    public BiomeProvider get() {
-        return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 500), resolution, blendSampler, blendAmplitude);
+        return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 128), resolution, blendSampler, blendAmplitude);
    }
 }
@@ -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")
-}
@@ -90,6 +90,7 @@ public class BiomePipelineAddon implements AddonInitializer {
                    event.getPack().applyLoader(BiomeDelegate.class, new BiomeDelegateLoader(biomeRegistry));
                });
        
-        logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
+        if(platform.getTerraConfig().isDebugLog())
+            logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
    }
 }
@@ -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 fdZ = FastMath.floorDiv(z, pipeline.getSize());
+        int fdX = Math.floorDiv(x, 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();
    }
@@ -1,12 +1,5 @@
-version = version("1.1.0")
+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 fdZ = FastMath.floorMod(z, 16);
+        int fdX = Math.floorMod(x, 16);
+        int fdZ = Math.floorMod(z, 16);
        
        Palette palette = PaletteUtil.getPalette(fdX, y, fdZ, sampler, paletteInfo, 0);
        double noise = sampler.sample(fdX, y, fdZ);
@@ -155,6 +154,16 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
        return biomeProvider.getBiome(x, y, z, world.getSeed()).getContext().get(paletteInfoPropertyKey).paletteHolder().getPalette(y);
    }
    
+    public double getSlant(int x, int y, int z, WorldProperties world, BiomeProvider biomeProvider) {
+        int fdX = Math.floorMod(x, 16);
+        int fdZ = Math.floorMod(z, 16);
+        return biomeProvider.getBiome(x, y, z, world.getSeed())
+                            .getContext()
+                            .get(paletteInfoPropertyKey)
+                            .slantHolder()
+                            .calculateSlant(samplerCache.get(x, z, world, biomeProvider), fdX, y, fdZ);
+    }
+    
    public SamplerProvider samplerProvider() {
        return samplerCache;
    }
@@ -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 vSamples = FastMath.ceilToInt((double) (max - min) / verticalRes);
+        int hSamples = (int) Math.ceil(16.0 / horizontalRes);
+        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 cz = FastMath.floorDiv(z, 16);
+        int cx = Math.floorDiv(x, 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 max = FastMath.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
+            int min = Math.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
+            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 cellZ = FastMath.floorDiv(z, cellWidth);
+        int cellX = Math.floorDiv(x, 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
-            int lvl = (FastMath.abs(i));
+        for(int i = 0; Math.abs(i) < size; i += c) { // Down if ceiling, up if floor
+            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 max = FastMath.min(column.getMaxY(), search.getMax());
+        int min = Math.max(column.getMinY(), search.getMin());
+        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 min = FastMath.max(search.getMin(), column.getMinY());
+        int max = Math.min(search.getMax(), column.getMaxY());
+        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()) {
@@ -22,7 +22,7 @@ public class TopLocator implements Locator {
    
    @Override
    public BinaryColumn getSuitableCoordinates(Column<?> column) {
-        for(int y : search) {
+        for(int y = search.getMax(); y >= search.getMin(); y--) {
            if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
                return new BinaryColumn(y, y + 1, yi -> true);
            }
@@ -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 max = FastMath.min(column.getMaxY(), range.getMax() + y);
+        int min = Math.max(column.getMinY(), range.getMin() + 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 max = FastMath.min(world.getMaxHeight(), range.getMax() + y);
+        int min = Math.max(world.getMinHeight(), range.getMin() + 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;
@@ -1,16 +1,8 @@
 import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar

-version = version("1.0.0")
+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")
-}
@@ -14,6 +14,7 @@ import java.util.Map;
 import java.util.function.Supplier;

 import com.dfsek.terra.addons.manifest.api.AddonInitializer;
+import com.dfsek.terra.addons.noise.config.CubicSplinePointTemplate;
 import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
 import com.dfsek.terra.addons.noise.config.templates.BinaryArithmeticTemplate;
 import com.dfsek.terra.addons.noise.config.templates.DomainWarpTemplate;
@@ -21,8 +22,10 @@ import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
 import com.dfsek.terra.addons.noise.config.templates.ImageSamplerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.KernelTemplate;
 import com.dfsek.terra.addons.noise.config.templates.LinearHeightmapSamplerTemplate;
+import com.dfsek.terra.addons.noise.config.templates.TranslateSamplerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.CellularNoiseTemplate;
 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.SimpleNoiseTemplate;
@@ -30,11 +33,14 @@ import com.dfsek.terra.addons.noise.config.templates.noise.fractal.BrownianMotio
 import com.dfsek.terra.addons.noise.config.templates.noise.fractal.PingPongTemplate;
 import com.dfsek.terra.addons.noise.config.templates.noise.fractal.RidgedFractalTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.ClampNormalizerTemplate;
+import com.dfsek.terra.addons.noise.config.templates.normalizer.CubicSplineNormalizerTemplate;
+import com.dfsek.terra.addons.noise.config.templates.normalizer.ExpressionNormalizerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.LinearNormalizerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.NormalNormalizerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.PosterizationNormalizerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.ProbabilityNormalizerTemplate;
 import com.dfsek.terra.addons.noise.config.templates.normalizer.ScaleNormalizerTemplate;
+import com.dfsek.terra.addons.noise.math.CubicSpline;
 import com.dfsek.terra.addons.noise.samplers.arithmetic.AdditionSampler;
 import com.dfsek.terra.addons.noise.samplers.arithmetic.DivisionSampler;
 import com.dfsek.terra.addons.noise.samplers.arithmetic.MaxSampler;
@@ -42,6 +48,7 @@ import com.dfsek.terra.addons.noise.samplers.arithmetic.MinSampler;
 import com.dfsek.terra.addons.noise.samplers.arithmetic.MultiplicationSampler;
 import com.dfsek.terra.addons.noise.samplers.arithmetic.SubtractionSampler;
 import com.dfsek.terra.addons.noise.samplers.noise.CellularSampler;
+import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
 import com.dfsek.terra.addons.noise.samplers.noise.random.GaussianNoiseSampler;
 import com.dfsek.terra.addons.noise.samplers.noise.random.PositiveWhiteNoiseSampler;
 import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
@@ -83,8 +90,11 @@ public class NoiseAddon implements AddonInitializer {
                                    (type, o, loader, depthTracker) -> CellularSampler.DistanceFunction.valueOf((String) o))
                       .applyLoader(CellularSampler.ReturnType.class,
                                    (type, o, loader, depthTracker) -> CellularSampler.ReturnType.valueOf((String) o))
+                       .applyLoader(DistanceSampler.DistanceFunction.class,
+                                    (type, o, loader, depthTracker) -> DistanceSampler.DistanceFunction.valueOf((String) o))
                       .applyLoader(DimensionApplicableNoiseSampler.class, DimensionApplicableNoiseSampler::new)
-                       .applyLoader(FunctionTemplate.class, FunctionTemplate::new);
+                       .applyLoader(FunctionTemplate.class, FunctionTemplate::new)
+                       .applyLoader(CubicSpline.Point.class, CubicSplinePointTemplate::new);
            
                  noiseRegistry.register(addon.key("LINEAR"), LinearNormalizerTemplate::new);
                  noiseRegistry.register(addon.key("NORMAL"), NormalNormalizerTemplate::new);
@@ -92,6 +102,7 @@ public class NoiseAddon implements AddonInitializer {
                  noiseRegistry.register(addon.key("PROBABILITY"), ProbabilityNormalizerTemplate::new);
                  noiseRegistry.register(addon.key("SCALE"), ScaleNormalizerTemplate::new);
                  noiseRegistry.register(addon.key("POSTERIZATION"), PosterizationNormalizerTemplate::new);
+                  noiseRegistry.register(addon.key("CUBIC_SPLINE"), CubicSplineNormalizerTemplate::new);
    
                  noiseRegistry.register(addon.key("IMAGE"), ImageSamplerTemplate::new);
    
@@ -116,12 +127,15 @@ public class NoiseAddon implements AddonInitializer {
                  noiseRegistry.register(addon.key("WHITE_NOISE"), () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
                  noiseRegistry.register(addon.key("POSITIVE_WHITE_NOISE"), () -> new SimpleNoiseTemplate(PositiveWhiteNoiseSampler::new));
                  noiseRegistry.register(addon.key("GAUSSIAN"), () -> new SimpleNoiseTemplate(GaussianNoiseSampler::new));
+                  
+                  noiseRegistry.register(addon.key("DISTANCE"), DistanceSamplerTemplate::new);
            
                  noiseRegistry.register(addon.key("CONSTANT"), ConstantNoiseTemplate::new);
            
                  noiseRegistry.register(addon.key("KERNEL"), KernelTemplate::new);
            
                  noiseRegistry.register(addon.key("LINEAR_HEIGHTMAP"), LinearHeightmapSamplerTemplate::new);
+                  noiseRegistry.register(addon.key("TRANSLATE"), TranslateSamplerTemplate::new);
            
                  noiseRegistry.register(addon.key("ADD"), () -> new BinaryArithmeticTemplate<>(AdditionSampler::new));
                  noiseRegistry.register(addon.key("SUB"), () -> new BinaryArithmeticTemplate<>(SubtractionSampler::new));
@@ -134,7 +148,7 @@ public class NoiseAddon implements AddonInitializer {
                  Map<String, DimensionApplicableNoiseSampler> packSamplers = new LinkedHashMap<>();
                  Map<String, FunctionTemplate> packFunctions = new LinkedHashMap<>();
                  noiseRegistry.register(addon.key("EXPRESSION"), () -> new ExpressionFunctionTemplate(packSamplers, packFunctions));
-            
+                  noiseRegistry.register(addon.key("EXPRESSION_NORMALIZER"), () -> new ExpressionNormalizerTemplate(packSamplers, packFunctions));
            
                  NoiseConfigPackTemplate template = event.loadTemplate(new NoiseConfigPackTemplate());
                  packSamplers.putAll(template.getSamplers());
@@ -0,0 +1,25 @@
+package com.dfsek.terra.addons.noise.config;
+
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
+
+import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
+import com.dfsek.terra.api.config.meta.Meta;
+
+
+public class CubicSplinePointTemplate implements ObjectTemplate<Point> {
+    
+    @Value("from")
+    private @Meta double from;
+    
+    @Value("to")
+    private @Meta double to;
+    
+    @Value("gradient")
+    private @Meta double gradient;
+    
+    @Override
+    public Point get() {
+        return new Point(from, to, gradient);
+    }
+}
@@ -4,6 +4,7 @@ import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;

 import com.dfsek.terra.addons.noise.samplers.LinearHeightmapSampler;
+import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;


@@ -11,14 +12,14 @@ import com.dfsek.terra.api.noise.NoiseSampler;
 public class LinearHeightmapSamplerTemplate extends SamplerTemplate<LinearHeightmapSampler> {
    @Value("sampler")
    @Default
-    private NoiseSampler sampler = NoiseSampler.zero();
+    private @Meta NoiseSampler sampler = NoiseSampler.zero();
    
    @Value("base")
-    private double base;
+    private @Meta double base;
    
    @Value("scale")
    @Default
-    private double scale = 1;
+    private @Meta double scale = 1;
    
    @Override
    public NoiseSampler get() {
@@ -0,0 +1,32 @@
+package com.dfsek.terra.addons.noise.config.templates;
+
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.addons.noise.samplers.TranslateSampler;
+import com.dfsek.terra.api.config.meta.Meta;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class TranslateSamplerTemplate extends SamplerTemplate<TranslateSampler> {
+    
+    @Value("sampler")
+    private NoiseSampler sampler;
+    
+    @Value("x")
+    @Default
+    private @Meta double x = 0;
+    
+    @Value("y")
+    @Default
+    private @Meta double y = 0;
+    
+    @Value("z")
+    @Default
+    private @Meta double z = 0;
+    
+    @Override
+    public NoiseSampler get() {
+        return new TranslateSampler(sampler, x, y ,z);
+    }
+}
@@ -0,0 +1,42 @@
+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.DistanceSampler;
+import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler.DistanceFunction;
+import com.dfsek.terra.api.config.meta.Meta;
+
+
+public class DistanceSamplerTemplate extends SamplerTemplate<DistanceSampler> {
+    
+    @Value("distance-function")
+    @Default
+    private DistanceSampler.@Meta DistanceFunction distanceFunction = DistanceFunction.Euclidean;
+    
+    @Value("point.x")
+    @Default
+    private @Meta double x = 0;
+    
+    @Value("point.y")
+    @Default
+    private @Meta double y = 0;
+    
+    @Value("point.z")
+    @Default
+    private @Meta double z = 0;
+    
+    @Value("normalize")
+    @Default
+    private @Meta boolean normalize = false;
+    
+    @Value("radius")
+    @Default
+    private @Meta double normalizeRadius = 100;
+    
+    @Override
+    public DistanceSampler get() {
+        return new DistanceSampler(distanceFunction, x, y, z, normalize, normalizeRadius);
+    }
+}
@@ -8,7 +8,6 @@
 package com.dfsek.terra.addons.noise.config.templates.noise;

 import com.dfsek.paralithic.eval.tokenizer.ParseException;
-import com.dfsek.paralithic.functions.Function;
 import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;

@@ -19,17 +18,16 @@ 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.config.templates.SamplerTemplate;
-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 com.dfsek.terra.addons.noise.samplers.noise.ExpressionFunction;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;

+import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
+

@SuppressWarnings({ "FieldMayBeFinal", "unused" })
 public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFunction> {
-    private final Map<String, DimensionApplicableNoiseSampler> otherFunctions;
+    private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
    private final Map<String, FunctionTemplate> globalFunctions;
    @Value("variables")
    @Default
@@ -43,44 +41,19 @@ public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFuncti
    @Default
    private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
    
-    public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> otherFunctions, Map<String, FunctionTemplate> samplers) {
-        this.otherFunctions = otherFunctions;
-        this.globalFunctions = samplers;
+    public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
+        this.globalSamplers = globalSamplers;
+        this.globalFunctions = globalFunctions;
    }
    
    @Override
    public NoiseSampler get() {
+        var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
+        var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
        try {
-            Map<String, Function> noiseFunctionMap = generateFunctions();
-            return new ExpressionFunction(noiseFunctionMap, expression, vars);
+            return new ExpressionFunction(convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
        } catch(ParseException e) {
            throw new RuntimeException("Failed to parse expression.", e);
        }
    }
-    
-    private Map<String, Function> generateFunctions() throws ParseException {
-        Map<String, Function> noiseFunctionMap = new HashMap<>();
-        
-        for(Map.Entry<String, FunctionTemplate> entry : globalFunctions.entrySet()) {
-            noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
-        }
-        
-        for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
-            noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
-        }
-        
-        otherFunctions.forEach((id, function) -> {
-            if(function.getDimensions() == 2) {
-                noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
-            } else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
-        });
-        
-        samplers.forEach((id, function) -> {
-            if(function.getDimensions() == 2) {
-                noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
-            } else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
-        });
-        
-        return noiseFunctionMap;
-    }
 }
@@ -0,0 +1,23 @@
+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;
+
+
+public class CubicSplineNormalizerTemplate extends NormalizerTemplate<CubicSplineNoiseSampler> {
+    
+    @Value("points")
+    private @Meta List<@Meta Point> points;
+    
+    @Override
+    public NoiseSampler get() {
+        return new CubicSplineNoiseSampler(function, new CubicSpline(points));
+    }
+}
@@ -0,0 +1,63 @@
+/*
+ * 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.normalizer;
+
+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 static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
+
+
+@SuppressWarnings({ "unused", "FieldMayBeFinal" })
+public class ExpressionNormalizerTemplate extends NormalizerTemplate<ExpressionNormalizer> {
+    
+    private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
+    private final Map<String, FunctionTemplate> globalFunctions;
+    
+    @Value("expression")
+    private @Meta String expression;
+    
+    @Value("variables")
+    @Default
+    private @Meta Map<String, @Meta Double> vars = new HashMap<>();
+    
+    @Value("samplers")
+    @Default
+    private @Meta LinkedHashMap<String, @Meta DimensionApplicableNoiseSampler> samplers = new LinkedHashMap<>();
+    
+    @Value("functions")
+    @Default
+    private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
+    
+    public ExpressionNormalizerTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
+        this.globalSamplers = globalSamplers;
+        this.globalFunctions = globalFunctions;
+    }
+    
+    @Override
+    public NoiseSampler get() {
+        var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
+        var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
+        try {
+            return new ExpressionNormalizer(function, convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
+        } catch(ParseException e) {
+            throw new RuntimeException("Failed to parse expression.", e);
+        }
+    }
+}
@@ -0,0 +1,87 @@
+package com.dfsek.terra.addons.noise.math;
+
+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 {
+    
+    private final double[] fromValues;
+    private final double[] toValues;
+    private final double[] gradients;
+    
+    public CubicSpline(List<Point> points) {
+        Collections.sort(points);
+        
+        this.fromValues = new double[points.size()];
+        this.toValues = new double[points.size()];
+        this.gradients = new double[points.size()];
+        
+        for(int i = 0; i < points.size(); i++) {
+            fromValues[i] = points.get(i).from;
+            toValues[i] = points.get(i).to;
+            gradients[i] = points.get(i).gradient;
+        }
+    }
+    
+    public double apply(double in) {
+        return calculate(in, fromValues, toValues, gradients);
+    }
+    
+    public static double calculate(double in, double[] fromValues, double[] toValues, double[] gradients) {
+        int pointIdx = floorBinarySearch(in, fromValues) - 1;
+        
+        int pointIdxLast = fromValues.length - 1;
+        
+        if (pointIdx < 0) { // If to left of first point return linear function intersecting said point using point's gradient
+            return gradients[0] * (in - fromValues[0]) + toValues[0];
+        } else if (pointIdx == pointIdxLast) { // Do same if to right of last point
+            return gradients[pointIdxLast] * (in - fromValues[pointIdxLast]) + toValues[pointIdxLast];
+        } else {
+            double fromLeft = fromValues[pointIdx];
+            double fromRight = fromValues[pointIdx + 1];
+            
+            double toLeft = toValues[pointIdx];
+            double toRight = toValues[pointIdx + 1];
+            
+            double gradientLeft =  gradients[pointIdx];
+            double gradientRight = gradients[pointIdx + 1];
+            
+            double fromDelta = fromRight - fromLeft;
+            double toDelta = toRight - toLeft;
+            
+            double t = (in - fromLeft) / fromDelta;
+            
+            return lerp(t, toLeft, toRight) + t * (1.0F - t) * lerp(t, gradientLeft * fromDelta - toDelta, -gradientRight * fromDelta + toDelta);
+        }
+    }
+    
+    private static int floorBinarySearch(double targetValue, double[] values) {
+        int left = 0;
+        int right = values.length;
+        int idx = right - left;
+        while (idx > 0) {
+            int halfDelta = idx / 2;
+            int mid = left + halfDelta;
+            if (targetValue < values[mid]) {
+                idx = halfDelta;
+            } else {
+                left = mid + 1;
+                idx -= halfDelta + 1;
+            }
+        }
+        return left;
+    }
+
+    public record Point(double from, double to, double gradient) implements Comparable<Point> {
+        
+        @Override
+        public int compareTo(@NotNull CubicSpline.Point o) {
+            return Double.compare(from, o.from);
+        }
+    }
+}
@@ -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);
    }
 }
@@ -0,0 +1,20 @@
+package com.dfsek.terra.addons.noise.normalizer;
+
+import com.dfsek.terra.addons.noise.math.CubicSpline;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class CubicSplineNoiseSampler extends Normalizer {
+    
+    private final CubicSpline spline;
+    
+    public CubicSplineNoiseSampler(NoiseSampler sampler, CubicSpline spline) {
+        super(sampler);
+        this.spline = spline;
+    }
+    
+    @Override
+    public double normalize(double in) {
+        return spline.apply(in);
+    }
+}
@@ -0,0 +1,33 @@
+package com.dfsek.terra.addons.noise.normalizer;
+
+import com.dfsek.paralithic.Expression;
+import com.dfsek.paralithic.eval.parser.Parser;
+import com.dfsek.paralithic.eval.parser.Scope;
+import com.dfsek.paralithic.eval.tokenizer.ParseException;
+import com.dfsek.paralithic.functions.Function;
+
+import java.util.Map;
+
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class ExpressionNormalizer extends Normalizer {
+    
+    private final Expression expression;
+    
+    public ExpressionNormalizer(NoiseSampler sampler, Map<String, Function> functions, String eq, Map<String, Double> vars)
+    throws ParseException {
+        super(sampler);
+        Parser p = new Parser();
+        Scope scope = new Scope();
+        scope.addInvocationVariable("in");
+        vars.forEach(scope::create);
+        functions.forEach(p::registerFunction);
+        expression = p.parse(eq, scope);
+    }
+    
+    @Override
+    public double normalize(double in) {
+        return expression.evaluate(in);
+    }
+}
@@ -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 right = FastMath.abs(lookup[end] - in);
+        double left = Math.abs(lookup[start] - in);
+        double right = Math.abs(lookup[end] - in);
        
        double fin;
        if(left <= right) {
@@ -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;
    }
 }
@@ -0,0 +1,31 @@
+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;
+
+
+public class FunctionUtil {
+    private FunctionUtil() {}
+    
+    public static Map<String, Function> convertFunctionsAndSamplers(Map<String, FunctionTemplate> functions,
+                                                                    Map<String, DimensionApplicableNoiseSampler> samplers) throws ParseException {
+        Map<String, Function> functionMap = new HashMap<>();
+        for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
+            functionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
+        }
+        samplers.forEach((id, sampler) -> functionMap.put(id,
+                                                          sampler.getDimensions() == 2 ?
+                                                          new NoiseFunction2(sampler.getSampler()) :
+                                                          new NoiseFunction3(sampler.getSampler())));
+        return functionMap;
+    }
+}
@@ -7,8 +7,6 @@

 package com.dfsek.terra.addons.noise.samplers;

-import net.jafama.FastMath;
-
 import java.awt.image.BufferedImage;

 import com.dfsek.terra.api.noise.NoiseSampler;
@@ -28,8 +26,8 @@ public class ImageSampler implements NoiseSampler {
    
    @Override
    public double noise(long seed, double x, double y) {
-        return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()),
-                                                 FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) *
+        return ((channel.getChannel(image.getRGB(Math.floorMod((int) Math.floor(x * frequency), image.getWidth()),
+                                                 Math.floorMod((int) Math.floor(y * frequency), image.getHeight()))) / 255D) - 0.5) *
               2;
    }
    
@@ -0,0 +1,27 @@
+package com.dfsek.terra.addons.noise.samplers;
+
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class TranslateSampler implements NoiseSampler {
+    
+    private final NoiseSampler sampler;
+    private final double dx, dy, dz;
+    
+    public TranslateSampler(NoiseSampler sampler, double dx, double dy, double dz) {
+        this.sampler = sampler;
+        this.dx = dx;
+        this.dy = dy;
+        this.dz = dz;
+    }
+    
+    @Override
+    public double noise(long seed, double x, double y) {
+        return sampler.noise(seed, x - dx, y - dz);
+    }
+    
+    @Override
+    public double noise(long seed, double x, double y, double z) {
+        return sampler.noise(seed, x - dx, y - dy, z - dz);
+    }
+}
@@ -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);
    }
 }
@@ -7,8 +7,6 @@

 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;

@@ -223,8 +221,8 @@ public class CellularSampler extends NoiseFunction {
    @Override
    public double getNoiseRaw(long sl, double x, double y) {
        int seed = (int) sl;
-        int xr = fastRound(x);
-        int yr = fastRound(y);
+        int xr = (int) Math.round(x);
+        int yr = (int) Math.round(y);
        
        double distance0 = Double.MAX_VALUE;
        double distance1 = Double.MAX_VALUE;
@@ -240,105 +238,43 @@ public class CellularSampler extends NoiseFunction {
        double centerX = x;
        double centerY = y;
        
-        switch(distanceFunction) {
-            default:
-            case Euclidean:
-            case EuclideanSq:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = vecX * vecX + vecY * vecY;
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
+        for(int xi = xr - 1; xi <= xr + 1; xi++) {
+            int yPrimed = yPrimedBase;
+            
+            for(int yi = yr - 1; yi <= yr + 1; yi++) {
+                int hash = hash(seed, xPrimed, yPrimed);
+                int idx = hash & (255 << 1);
+                
+                double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
+                double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
+                
+                double newDistance = switch(distanceFunction) {
+                    case Manhattan -> Math.abs(vecX) + Math.abs(vecY);
+                    case Hybrid -> (Math.abs(vecX) + Math.abs(vecY)) + (vecX * vecX + vecY * vecY);
+                    default -> vecX * vecX + vecY * vecY;
+                };
+                
+                distance1 = Math.max(Math.min(distance1, newDistance), distance0);
+                if(newDistance < distance0) {
+                    distance0 = newDistance;
+                    closestHash = hash;
+                    centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
+                    centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
+                } else if(newDistance < distance1) {
+                    distance2 = distance1;
+                    distance1 = newDistance;
+                } else if(newDistance < distance2) {
+                    distance2 = newDistance;
                }
-                break;
-            case Manhattan:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = fastAbs(vecX) + fastAbs(vecY);
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
-            case Hybrid:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
+                yPrimed += PRIME_Y;
+            }
+            xPrimed += PRIME_X;
        }
        
        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);
            }
        }
        
@@ -351,21 +287,22 @@ public class CellularSampler extends NoiseFunction {
            case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
            case Distance2Div -> distance0 / distance1 - 1;
            case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY);
+            case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY);
            case Distance3 -> distance2 - 1;
            case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
            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) {
        int seed = (int) sl;
-        int xr = fastRound(x);
-        int yr = fastRound(y);
-        int zr = fastRound(z);
+        int xr = (int) Math.round(x);
+        int yr = (int) Math.round(y);
+        int zr = (int) Math.round(z);
        
        double distance0 = Double.MAX_VALUE;
        double distance1 = Double.MAX_VALUE;
@@ -382,126 +319,53 @@ public class CellularSampler extends NoiseFunction {
        double centerY = y;
        double centerZ = z;
        
-        switch(distanceFunction) {
-            case Euclidean:
-            case EuclideanSq:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
+        for(int xi = xr - 1; xi <= xr + 1; xi++) {
+            int yPrimed = yPrimedBase;
+            
+            for(int yi = yr - 1; yi <= yr + 1; yi++) {
+                int zPrimed = zPrimedBase;
+                
+                for(int zi = zr - 1; zi <= zr + 1; zi++) {
+                    int hash = hash(seed, xPrimed, yPrimed, zPrimed);
+                    int idx = hash & (255 << 2);
                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int zPrimed = zPrimedBase;
-                        
-                        for(int zi = zr - 1; zi <= zr + 1; zi++) {
-                            int hash = hash(seed, xPrimed, yPrimed, zPrimed);
-                            int idx = hash & (255 << 2);
-                            
-                            double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
-                            double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
-                            double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
-                            
-                            double newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
-                            
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
-            case Manhattan:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
+                    double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
+                    double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
+                    double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int zPrimed = zPrimedBase;
-                        
-                        for(int zi = zr - 1; zi <= zr + 1; zi++) {
-                            int hash = hash(seed, xPrimed, yPrimed, zPrimed);
-                            int idx = hash & (255 << 2);
-                            
-                            double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
-                            double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
-                            double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
-                            
-                            double newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
-                            
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
+                    double newDistance = 0;
+                    switch(distanceFunction) {
+                        case Euclidean, EuclideanSq -> newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
+                        case Manhattan -> newDistance = Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ);
+                        case Hybrid -> {
+                            newDistance = (Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
+                            distance1 = Math.max(Math.min(distance1, newDistance), distance0);
                        }
-                        yPrimed += PRIME_Y;
                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
-            case Hybrid:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int zPrimed = zPrimedBase;
-                        
-                        for(int zi = zr - 1; zi <= zr + 1; zi++) {
-                            int hash = hash(seed, xPrimed, yPrimed, zPrimed);
-                            int idx = hash & (255 << 2);
-                            
-                            double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
-                            double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
-                            double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
-                            
-                            double newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) +
-                                                 (vecX * vecX + vecY * vecY + vecZ * vecZ);
-                            
-                            distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
-                        }
-                        yPrimed += PRIME_Y;
+                    if(newDistance < distance0) {
+                        distance0 = newDistance;
+                        closestHash = hash;
+                        centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
+                        centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
+                        centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
+                    } else if(newDistance < distance1) {
+                        distance2 = distance1;
+                        distance1 = newDistance;
+                    } else if(newDistance < distance2) {
+                        distance2 = newDistance;
                    }
-                    xPrimed += PRIME_X;
+                    zPrimed += PRIME_Z;
                }
-                break;
-            default:
-                break;
+                yPrimed += PRIME_Y;
+            }
+            xPrimed += PRIME_X;
        }
        
        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);
            }
        }
        
@@ -514,12 +378,13 @@ public class CellularSampler extends NoiseFunction {
            case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
            case Distance2Div -> distance0 / distance1 - 1;
            case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY, centerZ);
+            case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY, z / frequency - centerZ);
            case Distance3 -> distance2 - 1;
            case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
            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);
        };
    }
    
@@ -540,6 +405,7 @@ public class CellularSampler extends NoiseFunction {
        Distance2Mul,
        Distance2Div,
        NoiseLookup,
+        LocalNoiseLookup,
        Distance3,
        Distance3Add,
        Distance3Sub,
@@ -0,0 +1,66 @@
+package com.dfsek.terra.addons.noise.samplers.noise;
+
+
+public class DistanceSampler extends NoiseFunction {
+    
+    private final DistanceFunction distanceFunction;
+    private final double ox, oy, oz;
+    private final boolean normalize;
+    private final double radius;
+    
+    private final double distanceAtRadius;
+    
+    public DistanceSampler(DistanceFunction distanceFunction, double ox, double oy, double oz, boolean normalize, double radius) {
+        frequency = 1;
+        this.distanceFunction = distanceFunction;
+        this.ox = ox;
+        this.oy = oy;
+        this.oz = oz;
+        this.normalize = normalize;
+        this.radius = radius;
+        this.distanceAtRadius = distance2d(distanceFunction, radius, 0); // distance2d and distance3d should return the same value
+    }
+   
+    @Override
+    public double getNoiseRaw(long seed, double x, double y) {
+        double dx = x - ox;
+        double dy = y - oz;
+        if (normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius)) return 1;
+        double dist = distance2d(distanceFunction, dx, dy);
+        if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
+        return dist;
+    }
+    
+    @Override
+    public double getNoiseRaw(long seed, double x, double y, double z) {
+        double dx = x - ox;
+        double dy = y - oy;
+        double dz = z - oz;
+        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 Math.min(((2*dist)/distanceAtRadius)-1, 1);
+        return dist;
+    }
+    
+    private static double distance2d(DistanceFunction distanceFunction, double x, double z) {
+        return switch(distanceFunction) {
+            case Euclidean -> Math.sqrt(x*x + z*z);
+            case EuclideanSq -> x*x + z*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 -> Math.sqrt(x*x + y*y + z*z);
+            case EuclideanSq -> x*x + y*y + z*z;
+            case Manhattan -> Math.abs(x) + Math.abs(y) + Math.abs(z);
+        };
+    }
+    
+    public enum DistanceFunction {
+        Euclidean,
+        EuclideanSq,
+        Manhattan
+    }
+}
@@ -7,9 +7,8 @@

 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;


 public class GaborNoiseSampler extends NoiseFunction {
@@ -17,11 +16,11 @@ 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 +31,17 @@ 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 yi = fastFloor(y);
+        int xi = (int) Math.floor(x);
+        int yi = (int) Math.floor(y);
        double xf = x - xi;
        double yf = y - yi;
        double noise = 0;
@@ -55,7 +54,7 @@ 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 +72,7 @@ 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))));
    }
    
@@ -7,25 +7,15 @@

 package com.dfsek.terra.addons.noise.samplers.noise;

-import net.jafama.FastMath;
-
 import com.dfsek.terra.api.noise.NoiseSampler;


-@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 +23,6 @@ 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 +37,6 @@ 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;
    }
@@ -8,6 +8,7 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;

 import com.dfsek.terra.api.noise.NoiseSampler;
+import com.dfsek.terra.api.util.MathUtil;


 public class BrownianMotionSampler extends FractalNoiseFunction {
@@ -23,7 +24,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
        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;
@@ -41,7 +42,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
        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 +8,7 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;

 import com.dfsek.terra.api.noise.NoiseSampler;
+import com.dfsek.terra.api.util.MathUtil;


 public class PingPongSampler extends FractalNoiseFunction {
@@ -35,7 +36,7 @@ public class PingPongSampler extends FractalNoiseFunction {
        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;
@@ -53,7 +54,7 @@ public class PingPongSampler extends FractalNoiseFunction {
        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 +8,7 @@
 package com.dfsek.terra.addons.noise.samplers.noise.fractal;

 import com.dfsek.terra.api.noise.NoiseSampler;
+import com.dfsek.terra.api.util.MathUtil;


 public class RidgedFractalSampler extends FractalNoiseFunction {
@@ -22,9 +23,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
        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;
@@ -40,9 +41,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
        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;
@@ -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 +8,7 @@
 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;


 /**
@@ -24,18 +25,18 @@ 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
@@ -26,8 +26,8 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
        y += s;
        
        
-        int i = fastFloor(x);
-        int j = fastFloor(y);
+        int i = (int) Math.floor(x);
+        int j = (int) Math.floor(y);
        double xi = x - i;
        double yi = y - j;
        
@@ -131,9 +131,9 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
        z = r - z;
        
        
-        int i = fastFloor(x);
-        int j = fastFloor(y);
-        int k = fastFloor(z);
+        int i = (int) Math.floor(x);
+        int j = (int) Math.floor(y);
+        int k = (int) Math.floor(z);
        double xi = x - i;
        double yi = y - j;
        double zi = z - k;
@@ -25,8 +25,8 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
        y += s;
        
        
-        int i = fastFloor(x);
-        int j = fastFloor(y);
+        int i = (int) Math.floor(x);
+        int j = (int) Math.floor(y);
        double xi = x - i;
        double yi = y - j;
        
@@ -85,9 +85,9 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
        z = r - z;
        
        
-        int i = fastRound(x);
-        int j = fastRound(y);
-        int k = fastRound(z);
+        int i = (int) Math.round(x);
+        int j = (int) Math.round(y);
+        int k = (int) Math.round(z);
        double x0 = x - i;
        double y0 = y - j;
        double z0 = z - k;
@@ -7,6 +7,9 @@

 package com.dfsek.terra.addons.noise.samplers.noise.simplex;

+import com.dfsek.terra.api.util.MathUtil;
+
+
 /**
 * NoiseSampler implementation to provide Perlin Noise.
 */
@@ -14,34 +17,34 @@ public class PerlinSampler extends SimplexStyleSampler {
    @Override
    public double getNoiseRaw(long sl, double x, double y) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
-        int y0 = fastFloor(y);
+        int x0 = (int) Math.floor(x);
+        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 ys = interpQuintic(yd0);
+        double xs = MathUtil.interpQuintic(xd0);
+        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 xf1 = lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
+        double xf0 = MathUtil.lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), 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) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
-        int y0 = fastFloor(y);
-        int z0 = fastFloor(z);
+        int x0 = (int) Math.floor(x);
+        int y0 = (int) Math.floor(y);
+        int z0 = (int) Math.floor(z);
        
        double xd0 = x - x0;
        double yd0 = y - y0;
@@ -50,9 +53,9 @@ public class PerlinSampler extends SimplexStyleSampler {
        double yd1 = yd0 - 1;
        double zd1 = zd0 - 1;
        
-        double xs = interpQuintic(xd0);
-        double ys = interpQuintic(yd0);
-        double zs = interpQuintic(zd0);
+        double xs = MathUtil.interpQuintic(xd0);
+        double ys = MathUtil.interpQuintic(yd0);
+        double zs = MathUtil.interpQuintic(zd0);
        
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
@@ -61,14 +64,14 @@ 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 xf10 = 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 xf11 = lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
+        double xf00 = MathUtil.lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, 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 = MathUtil.lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, 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 yf1 = lerp(xf01, xf11, ys);
+        double yf0 = MathUtil.lerp(xf00, xf10, ys);
+        double yf1 = MathUtil.lerp(xf01, xf11, ys);
        
-        return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
+        return MathUtil.lerp(yf0, yf1, zs) * 0.964921414852142333984375;
    }
 }
@@ -61,8 +61,8 @@ public class SimplexSampler extends SimplexStyleSampler {
    public double getNoiseRaw(long sl, double x, double y) {
        int seed = (int) sl;
        double t = (x + y) * F2;
-        int i = fastFloor(x + t);
-        int j = fastFloor(y + t);
+        int i = (int) Math.floor(x + t);
+        int j = (int) Math.floor(y + t);
        
        t = (i + j) * G2;
        double X0 = i - t;
@@ -118,9 +118,9 @@ public class SimplexSampler extends SimplexStyleSampler {
    public double getNoiseRaw(long sl, double x, double y, double z) {
        int seed = (int) sl;
        double t = (x + y + z) * F3;
-        int i = fastFloor(x + t);
-        int j = fastFloor(y + t);
-        int k = fastFloor(z + t);
+        int i = (int) Math.floor(x + t);
+        int j = (int) Math.floor(y + t);
+        int k = (int) Math.floor(z + t);
        
        t = (i + j + k) * G3;
        double x0 = x - (i - t);
@@ -7,12 +7,15 @@

 package com.dfsek.terra.addons.noise.samplers.noise.value;

+import com.dfsek.terra.api.util.MathUtil;
+
+
 public class ValueCubicSampler extends ValueStyleNoise {
    @Override
    public double getNoiseRaw(long sl, double x, double y) {
        int seed = (int) sl;
-        int x1 = fastFloor(x);
-        int y1 = fastFloor(y);
+        int x1 = (int) Math.floor(x);
+        int y1 = (int) Math.floor(y);
        
        double xs = x - x1;
        double ys = y - y1;
@@ -26,14 +29,14 @@ public class ValueCubicSampler extends ValueStyleNoise {
        int x3 = x1 + (PRIME_X << 1);
        int y3 = y1 + (PRIME_Y << 1);
        
-        return cubicLerp(
-                cubicLerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), valCoord(seed, x2, y0), valCoord(seed, x3, y0),
+        return MathUtil.cubicLerp(
+                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),
-                          xs),
-                cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
+                MathUtil.cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
                          xs),
                ys) * (1 / (1.5 * 1.5));
    }
@@ -41,9 +44,9 @@ public class ValueCubicSampler extends ValueStyleNoise {
    @Override
    public double getNoiseRaw(long sl, double x, double y, double z) {
        int seed = (int) sl;
-        int x1 = fastFloor(x);
-        int y1 = fastFloor(y);
-        int z1 = fastFloor(z);
+        int x1 = (int) Math.floor(x);
+        int y1 = (int) Math.floor(y);
+        int z1 = (int) Math.floor(z);
        
        double xs = x - x1;
        double ys = y - y1;
@@ -63,45 +66,45 @@ public class ValueCubicSampler extends ValueStyleNoise {
        int y3 = y1 + (PRIME_Y << 1);
        int z3 = z1 + (PRIME_Z << 1);
        
-        return cubicLerp(
-                cubicLerp(
-                        cubicLerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), valCoord(seed, x2, y0, z0),
+        return MathUtil.cubicLerp(
+                MathUtil.cubicLerp(
+                        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(
-                        cubicLerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), valCoord(seed, x2, y0, z1),
+                MathUtil.cubicLerp(
+                        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(
-                        cubicLerp(valCoord(seed, x0, y0, z2), valCoord(seed, x1, y0, z2), valCoord(seed, x2, y0, z2),
+                MathUtil.cubicLerp(
+                        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(
-                        cubicLerp(valCoord(seed, x0, y0, z3), valCoord(seed, x1, y0, z3), valCoord(seed, x2, y0, z3),
+                MathUtil.cubicLerp(
+                        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 +7,40 @@

 package com.dfsek.terra.addons.noise.samplers.noise.value;

+import com.dfsek.terra.api.util.MathUtil;
+
+
 public class ValueSampler extends ValueStyleNoise {
    @Override
    public double getNoiseRaw(long sl, double x, double y) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
-        int y0 = fastFloor(y);
+        int x0 = (int) Math.floor(x);
+        int y0 = (int) Math.floor(y);
        
-        double xs = interpHermite(x - x0);
-        double ys = interpHermite(y - y0);
+        double xs = MathUtil.interpHermite(x - x0);
+        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 xf1 = lerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), xs);
+        double xf0 = MathUtil.lerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), 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) {
        int seed = (int) sl;
-        int x0 = fastFloor(x);
-        int y0 = fastFloor(y);
-        int z0 = fastFloor(z);
+        int x0 = (int) Math.floor(x);
+        int y0 = (int) Math.floor(y);
+        int z0 = (int) Math.floor(z);
        
-        double xs = interpHermite(x - x0);
-        double ys = interpHermite(y - y0);
-        double zs = interpHermite(z - z0);
+        double xs = MathUtil.interpHermite(x - x0);
+        double ys = MathUtil.interpHermite(y - y0);
+        double zs = MathUtil.interpHermite(z - z0);
        
        x0 *= PRIME_X;
        y0 *= PRIME_Y;
@@ -46,14 +49,14 @@ 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 xf10 = 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 xf11 = lerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), xs);
+        double xf00 = MathUtil.lerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), xs);
+        double xf10 = MathUtil.lerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), xs);
+        double xf01 = MathUtil.lerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), xs);
+        double xf11 = MathUtil.lerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), xs);
        
-        double yf0 = lerp(xf00, xf10, ys);
-        double yf1 = lerp(xf01, xf11, ys);
+        double yf0 = MathUtil.lerp(xf00, xf10, ys);
+        double yf1 = MathUtil.lerp(xf01, xf11, ys);
        
-        return lerp(yf0, yf1, zs);
+        return MathUtil.lerp(yf0, yf1, zs);
    }
 }
@@ -0,0 +1,13 @@
+import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
+
+version = version("1.0.0")
+
+dependencies {
+    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
+    api("com.dfsek", "paralithic", Versions.Libraries.paralithic)
+}
+
+
+tasks.named<ShadowJar>("shadowJar") {
+    relocate("com.dfsek.paralithic", "com.dfsek.terra.addons.numberpredicate.lib.paralithic")
+}
@@ -0,0 +1,34 @@
+package com.dfsek.terra.addons.numberpredicate;
+
+import com.dfsek.paralithic.Expression;
+import com.dfsek.paralithic.eval.parser.Parser;
+import com.dfsek.paralithic.eval.parser.Scope;
+import com.dfsek.paralithic.eval.tokenizer.ParseException;
+import com.dfsek.tectonic.api.depth.DepthTracker;
+import com.dfsek.tectonic.api.exception.LoadException;
+import com.dfsek.tectonic.api.loader.ConfigLoader;
+import com.dfsek.tectonic.api.loader.type.TypeLoader;
+import org.jetbrains.annotations.NotNull;
+
+import java.lang.reflect.AnnotatedType;
+import java.util.function.DoublePredicate;
+
+
+public class DoublePredicateLoader implements TypeLoader<DoublePredicate> {
+    @Override
+    public DoublePredicate load(@NotNull AnnotatedType annotatedType, @NotNull Object o, @NotNull ConfigLoader configLoader,
+                                DepthTracker depthTracker) throws LoadException {
+        if (o instanceof String expressionString) {
+            Scope scope = new Scope();
+            scope.addInvocationVariable("value");
+            try {
+                Expression expression = new Parser().parse(expressionString, scope);
+                return d -> expression.evaluate(d) != 0; // Paralithic expressions treat '!= 0' as true
+            } catch(ParseException e) {
+                throw new LoadException("Failed to parse double predicate expression", e, depthTracker);
+            }
+        } else {
+            throw new LoadException("Double predicates must be defined as a string. E.g. 'value > 3'", depthTracker);
+        }
+    }
+}
@@ -0,0 +1,41 @@
+/*
+ * 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.numberpredicate;
+
+import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
+
+import java.util.LinkedHashMap;
+import java.util.Map;
+import java.util.function.DoublePredicate;
+import java.util.function.Supplier;
+
+import com.dfsek.terra.addons.manifest.api.AddonInitializer;
+import com.dfsek.terra.api.Platform;
+import com.dfsek.terra.api.addon.BaseAddon;
+import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
+import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
+import com.dfsek.terra.api.inject.annotations.Inject;
+
+public class NumberPredicateAddon implements AddonInitializer {
+    
+    @Inject
+    private Platform plugin;
+    
+    @Inject
+    private BaseAddon addon;
+    
+    @Override
+    public void initialize() {
+        plugin.getEventManager()
+              .getHandler(FunctionalEventHandler.class)
+              .register(addon, ConfigPackPreLoadEvent.class)
+              .then(event -> event.getPack().applyLoader(DoublePredicate.class, new DoublePredicateLoader()))
+              .priority(50)
+              .failThrough();
+    }
+}
@@ -0,0 +1,12 @@
+schema-version: 1
+contributors:
+  - Terra contributors
+id: config-number-predicate
+version: @VERSION@
+entrypoints:
+  - "com.dfsek.terra.addons.numberpredicate.NumberPredicateAddon"
+website:
+  issues: https://github.com/PolyhedralDev/Terra/issues
+  source: https://github.com/PolyhedralDev/Terra
+  docs: https://terra.polydev.org
+license: MIT License
@@ -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")
-}
@@ -14,8 +14,13 @@ import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
 import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
 import com.dfsek.terra.api.inject.annotations.Inject;

+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+

 public class OreAddon implements AddonInitializer {
+    private static final Logger logger = LoggerFactory.getLogger(OreAddon.class);
+    
    @Inject
    private Platform platform;
    
@@ -29,5 +34,8 @@ public class OreAddon implements AddonInitializer {
                .register(addon, ConfigPackPreLoadEvent.class)
                .then(event -> event.getPack().registerConfigType(new OreConfigType(), addon.key("ORE"), 1))
                .failThrough();
+        
+        if(platform.getTerraConfig().isDebugLog())
+            logger.warn("The ore-config addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the ore-config-v2 addon for future pack development instead.");
    }
 }
@@ -7,14 +7,14 @@

 package com.dfsek.terra.addons.ore.ores;

-import net.jafama.FastMath;
-
+import java.util.BitSet;
 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;
@@ -41,57 +41,130 @@ public class VanillaOre implements Structure {
        this.materials = materials;
    }
    
+    protected static boolean shouldNotDiscard(Random random, double chance) {
+        if(chance <= 0.0F) {
+            return true;
+        } else if(chance >= 1.0F) {
+            return false;
+        } else {
+            return random.nextFloat() >= chance;
+        }
+    }
+    
+    public static double lerp(double t, double v0, double v1) {
+        return v0 + t * (v1 - v0);
+    }
+    
    @Override
    public boolean generate(Vector3Int location, WritableWorld world, Random random, Rotation rotation) {
-        int centerX = location.getX();
-        int centerZ = location.getZ();
-        int centerY = location.getY();
+        float randomRadian = random.nextFloat() * (float) Math.PI;
+        double eigthSize = size / 8.0F;
        
+        // Place points to form a line segment
+        double startX = (double) location.getX() + MathUtil.sin(randomRadian) * eigthSize;
+        double endX = (double) location.getX() - MathUtil.sin(randomRadian) * eigthSize;
        
-        float f = random.nextFloat() * (float) Math.PI;
+        double startZ = (double) location.getZ() + MathUtil.cos(randomRadian) * eigthSize;
+        double endZ = (double) location.getZ() - MathUtil.cos(randomRadian) * eigthSize;
        
-        double d1 = centerX + 8 + FastMath.sin(f) * size / 8.0F;
-        double d2 = centerX + 8 - FastMath.sin(f) * size / 8.0F;
-        double d3 = centerZ + 8 + FastMath.cos(f) * size / 8.0F;
-        double d4 = centerZ + 8 - FastMath.cos(f) * size / 8.0F;
+        double startY = location.getY() + random.nextInt(3) - 2;
+        double endY = location.getY() + random.nextInt(3) - 2;
        
-        double d5 = centerY + random.nextInt(3) - 2D;
-        double d6 = centerY + random.nextInt(3) - 2D;
+        int sizeInt = (int) size;
+        double[] points = new double[sizeInt * 4];
        
-        for(int i = 0; i < size; i++) {
-            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 d12 = (FastMath.sin(Math.PI * iFactor) + 1.0) * d10 + 1.0;
-            
-            int xStart = FastMath.roundToInt(FastMath.floor(d1 + (d2 - d1) * iFactor - d11 / 2.0D));
-            int yStart = FastMath.roundToInt(FastMath.floor(d5 + (d6 - d5) * iFactor - d12 / 2.0D));
-            int zStart = FastMath.roundToInt(FastMath.floor(d3 + (d4 - d3) * iFactor - d11 / 2.0D));
-            
-            int xEnd = FastMath.roundToInt(FastMath.floor(d1 + (d2 - d1) * iFactor + d11 / 2.0D));
-            int yEnd = FastMath.roundToInt(FastMath.floor(d5 + (d6 - d5) * iFactor + d12 / 2.0D));
-            int zEnd = FastMath.roundToInt(FastMath.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);
+        // Compute initial point positions and radius
+        for(int i = 0; i < sizeInt; ++i) {
+            float t = (float) i / (float) sizeInt;
+            double xt = lerp(t, startX, endX);
+            double yt = lerp(t, startY, endY);
+            double zt = lerp(t, startZ, endZ);
+            double roll = random.nextDouble() * size / 16.0;
+            // Taper radius closer to line ends
+            double radius = ((MathUtil.sin((float) Math.PI * t) + 1.0F) * roll + 1.0) / 2.0;
+            points[i * 4] = xt;
+            points[i * 4 + 1] = yt;
+            points[i * 4 + 2] = zt;
+            points[i * 4 + 3] = radius;
+        }
+        
+        // Compare every point to every other point
+        for(int a = 0; a < sizeInt - 1; ++a) {
+            double radiusA = points[a * 4 + 3];
+            if(radiusA > 0.0) {
+                for(int b = a + 1; b < sizeInt; ++b) {
+                    double radiusB = points[b * 4 + 3];
+                    if(radiusB > 0.0) {
+                        double dxt = points[a * 4] - points[b * 4];
+                        double dyt = points[a * 4 + 1] - points[b * 4 + 1];
+                        double dzt = points[a * 4 + 2] - points[b * 4 + 2];
+                        double dRadius = radiusA - radiusB;
+                        
+                        // If the radius difference is greater than the distance between the two points
+                        if(dRadius * dRadius > dxt * dxt + dyt * dyt + dzt * dzt) {
+                            // Set smaller of two radii to -1
+                            if(dRadius > 0.0) {
+                                points[b * 4 + 3] = -1.0;
+                            } else {
+                                points[a * 4 + 3] = -1.0;
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        
+        int outset = (int) Math.ceil((size / 16.0F * 2.0F + 1.0F) / 2.0F);
+        int x = (int) (location.getX() - Math.ceil(eigthSize) - outset);
+        int y = location.getY() - 2 - outset;
+        int z = (int) (location.getZ() - Math.ceil(eigthSize) - outset);
+        
+        int horizontalSize = (int) (2 * (Math.ceil(eigthSize) + outset));
+        int verticalSize = 2 * (2 + outset);
+        
+        int sphereCount = 0;
+        BitSet visited = new BitSet(horizontalSize * verticalSize * horizontalSize);
+        
+        // Generate a sphere at each point
+        for(int i = 0; i < sizeInt; ++i) {
+            double radius = points[i * 4 + 3];
+            if(radius > 0.0) {
+                double xt = points[i * 4];
+                double yt = points[i * 4 + 1];
+                double zt = points[i * 4 + 2];
                
-                if(d13 * d13 < 1.0D) {
-                    for(int y = yStart; y <= yEnd; y++) {
-                        double d14 = (y + 0.5D - (d5 + (d6 - d5) * iFactor)) / (d12 / 2.0D);
-                        if(d13 * d13 + d14 * d14 < 1.0D) {
-                            for(int z = zStart; z <= zEnd; z++) {
-                                double d15 = (z + 0.5D - (d3 + (d4 - d3) * iFactor)) / (d11 / 2.0D);
-                                if(y >= world.getMaxHeight() || y < world.getMinHeight()) continue;
-                                BlockType block = world.getBlockState(x, y, z).getBlockType();
-                                if((d13 * d13 + d14 * d14 + d15 * d15 < 1.0D) && getReplaceable().contains(block)) {
-                                    if(exposed > random.nextDouble() || !(world.getBlockState(x, y, z - 1).isAir() ||
-                                                                          world.getBlockState(x, y, z + 1).isAir() ||
-                                                                          world.getBlockState(x, y - 1, z).isAir() ||
-                                                                          world.getBlockState(x, y + 1, z).isAir() ||
-                                                                          world.getBlockState(x - 1, y, z).isAir() ||
-                                                                          world.getBlockState(x + 1, y, z).isAir())) {
-                                        world.setBlockState(x, y, z, getMaterial(block), isApplyGravity());
+                int xLowerBound = (int) Math.max(Math.floor(xt - radius), x);
+                int xUpperBound = (int) Math.max(Math.floor(xt + radius), xLowerBound);
+                
+                int yLowerBound = (int) Math.max(Math.floor(yt - radius), y);
+                int yUpperBound = (int) Math.max(Math.floor(yt + radius), yLowerBound);
+                
+                int zLowerBound = (int) Math.max(Math.floor(zt - radius), z);
+                int zUpperBound = (int) Math.max(Math.floor(zt + radius), zLowerBound);
+                
+                // Iterate over coordinates within bounds
+                for(int xi = xLowerBound; xi <= xUpperBound; ++xi) {
+                    double dx = ((double) xi + 0.5 - xt) / radius;
+                    if(dx * dx < 1.0) {
+                        for(int yi = yLowerBound; yi <= yUpperBound; ++yi) {
+                            double dy = ((double) yi + 0.5 - yt) / radius;
+                            if(dx * dx + dy * dy < 1.0) {
+                                for(int zi = zLowerBound; zi <= zUpperBound; ++zi) {
+                                    double dz = ((double) zi + 0.5 - zt) / radius;
+                                    
+                                    // If position is inside the sphere
+                                    if(dx * dx + dy * dy + dz * dz < 1.0 && !(yi < world.getMinHeight() || yi >= world.getMaxHeight())) {
+                                        int index = xi - x + (yi - y) * horizontalSize + (zi - z) * horizontalSize * verticalSize;
+                                        if(!visited.get(index)) { // Skip blocks that have already been visited
+                                            
+                                            visited.set(index);
+                                            BlockType block = world.getBlockState(xi, yi, zi).getBlockType();
+                                            if(shouldPlace(block, random, world, xi, yi, zi)) {
+                                                world.setBlockState(xi, yi, zi, getMaterial(block), isApplyGravity());
+                                                ++sphereCount;
+                                                break;
+                                            }
+                                        }
                                    }
                                }
                            }
@@ -100,7 +173,23 @@ public class VanillaOre implements Structure {
                }
            }
        }
-        return true;
+        
+        return sphereCount > 0;
+    }
+    
+    public boolean shouldPlace(BlockType type, Random random, WritableWorld world, int x, int y, int z) {
+        if(!getReplaceable().contains(type)) {
+            return false;
+        } else if(shouldNotDiscard(random, exposed)) {
+            return true;
+        } else {
+            return !(world.getBlockState(x, y, z - 1).isAir() ||
+                     world.getBlockState(x, y, z + 1).isAir() ||
+                     world.getBlockState(x, y - 1, z).isAir() ||
+                     world.getBlockState(x, y + 1, z).isAir() ||
+                     world.getBlockState(x - 1, y, z).isAir() ||
+                     world.getBlockState(x + 1, y, z).isAir());
+        }
    }
    
    public BlockState getMaterial(BlockType replace) {
@@ -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);
-            min = FastMath.toIntExact((Long) amount);
+            max = Math.toIntExact((Long) amount);
+            min = Math.toIntExact((Long) amount);
        } else {
-            max = FastMath.toIntExact((Long) ((JSONObject) amount).get("max"));
-            min = FastMath.toIntExact((Long) ((JSONObject) amount).get("min"));
+            max = Math.toIntExact((Long) ((JSONObject) amount).get("max"));
+            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);
@@ -1,8 +1,8 @@
-version = version("1.0.0")
+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)
+
+
 }
@@ -4,8 +4,10 @@ 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.ImageLibraryPackConfigTemplate;
 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;
@@ -15,9 +17,12 @@ import com.dfsek.terra.addons.image.config.colorsampler.image.SingleImageColorSa
 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;
@@ -52,6 +57,10 @@ public class ImageLibraryAddon implements AddonInitializer {
                .getHandler(FunctionalEventHandler.class)
                .register(addon, ConfigPackPreLoadEvent.class)
                .priority(10)
+                .then(event -> {
+                    ImageLibraryPackConfigTemplate config = event.loadTemplate(new ImageLibraryPackConfigTemplate());
+                    event.getPack().getContext().put(config);
+                })
                .then(event -> {
                    ConfigPack pack = event.getPack();
                    CheckedRegistry<Supplier<ObjectTemplate<Image>>> imageRegistry = pack.getOrCreateRegistry(IMAGE_REGISTRY_KEY);
@@ -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);
    }
@@ -0,0 +1,37 @@
+package com.dfsek.terra.addons.image.config;
+
+import com.dfsek.tectonic.api.config.template.ConfigTemplate;
+
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Description;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.api.properties.Properties;
+
+public class ImageLibraryPackConfigTemplate implements ConfigTemplate, Properties {
+    // TODO - These would be better as plugin wide config parameters in config.yml
+    
+    @Value("images.cache.load-on-use")
+    @Description("If set to true, images will load into memory upon use rather than on pack load.")
+    @Default
+    private boolean loadOnUse = false;
+    
+    @Value("images.cache.timeout")
+    @Description("How many seconds to keep images loaded in the image cache for. " +
+                 "If set to a number greater than 0, images will be removed from memory if not used after the timeout, otherwise images will stay loaded in memory. " +
+                 "Setting the timeout to greater than 0 will trade decreased memory consumption when not performing any image reads for a period of time for extra processing time required to perform cache lookups.")
+    @Default
+    private int cacheTimeout = 0;
+    
+    public boolean loadOnUse() {
+        return loadOnUse;
+    }
+    
+    public boolean unloadOnTimeout() {
+        return cacheTimeout > 0;
+    }
+    
+    public int getCacheTimeout() {
+        return cacheTimeout;
+    }
+}
@@ -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> {
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Zoë Gidiere	5829112a74	Merge branch 'ver/6.4.0' into dev/image-caching	2023-10-26 12:56:17 -06:00
Zoë Gidiere	c41bf55b7b	implement missing methods from last comit	2023-10-26 12:53:55 -06:00
Zoë Gidiere	5d12a560f1	add zero and unit vectors	2023-10-26 11:08:36 -06:00
Zoë Gidiere	6f08908bb4	merge ovre-v2 into ore(v1)	2023-10-26 10:43:13 -06:00
Zoë Gidiere	9292d3de17	Remove FastMath hotspot has intrinsics for almost everything we use it for	2023-10-26 10:37:25 -06:00
Astrash	0149a29b04	Load correct path	2023-10-24 14:08:56 +11:00
Astrash	cd8605850f	Replace unload-on-timeout with timeout > 0	2023-10-24 13:47:25 +11:00
Astrash	148b8dfe35	Bump image lib patch version	2023-10-24 13:34:10 +11:00
Astrash	3f485b1825	Add to unload on timeout description	2023-10-24 13:30:09 +11:00
Astrash	cb6ecff113	Remove sout	2023-10-24 13:29:53 +11:00
Astrash	e30bcbf1ba	Improve image caching options	2023-10-24 13:26:35 +11:00
Astrash	805f99f57a	Make ore algorithm readable	2023-10-20 10:55:23 +11:00
Astrash	4e5b02ef42	Pass correct coords for ore block checks	2023-10-20 10:30:25 +11:00
Astrash	e80e998cec	Only log warnings with debug logging	2023-10-20 10:03:04 +11:00
Zoë	fde29220af	Merge pull request #419 from PolyhedralDev/dev/disable-quilt Dev/disable quilt	2023-10-19 17:31:40 +00:00
Zoë Gidiere	d3a9b57872	disable quilt	2023-10-18 19:53:59 -06:00
Zoë	4671ec5bd3	Merge pull request #417 from PolyhedralDev/dev/folia Dev/folia	2023-10-19 01:18:45 +00:00
Zoë	9f4a8e06e1	Update DependencyConfig.kt	2023-10-17 21:00:28 -06:00
Zoë	c8f2871aaa	Update build.gradle.kts	2023-10-17 20:59:27 -06:00
Zoë	4a537a56aa	Merge pull request #415 from PolyhedralDev/dev/ore-v2 Add updated ore-v2	2023-10-18 00:33:15 +00:00
Zoë	4917160123	Update README.md	2023-10-17 18:32:00 -06:00
Zoë	b3f80dcb64	Merge pull request #410 from PolyhedralDev/dev/1.20.2 1.20.2 + update libs	2023-10-15 19:45:43 +00:00
Zoë Gidiere	d49b9ccad5	Merge branch 'dev/1.20.2' into dev/folia	2023-10-14 16:02:54 -06:00
Zoë Gidiere	a8387ce419	Merge remote-tracking branch 'origin/ver/6.4.0' into dev/1.20.2	2023-10-14 16:02:40 -06:00
Zoë Gidiere	94854f2bdb	update versions	2023-10-14 15:55:43 -06:00
Astrashh	47f531089e	Add slant locator (#413 ) * Add slant locator addon * Bump slant locator noise3d dependency version * Fix slant locator dependency version range * Actually fix slant locator dependency version range	2023-10-10 00:35:47 +00:00
Astrashh	abd83e8278	Add number predicate addon (#412 )	2023-10-10 00:35:26 +00:00
Astrash	b5e7c7c112	Fix TOP locator	2023-10-10 09:44:53 +11:00
Zoë Gidiere	d71f7d4c36	clarify value and change default	2023-10-03 21:03:44 -06:00
Zoë Gidiere	84898a7a6b	fixes	2023-10-03 20:03:46 -06:00
Zoë Gidiere	0c1a6efc72	refractor classes	2023-10-03 19:42:15 -06:00
Zoë Gidiere	200281f140	dep orev1	2023-10-03 11:58:32 -06:00
Zoë Gidiere	f1ea8074de	config-ore-v2	2023-10-03 11:54:18 -06:00
Astrash	f896a9a278	Bump noise3d addon minor version	2023-10-03 11:01:50 +11:00
Astrash	79b3b34669	Add slant API for noise3d	2023-10-03 09:51:39 +11:00
Zoë Gidiere	ce2b964ce3	Merge branch 'dev/1.20.2' into dev/folia	2023-10-02 01:38:24 -06:00
Zoë Gidiere	0ee5f49972	quilt	2023-10-02 01:38:01 -06:00
Zoë Gidiere	3bc10cdb6a	Merge branch 'dev/1.20.2' into dev/folia	2023-10-02 00:42:11 -06:00
Zoë Gidiere	86ba52850d	update strata	2023-10-02 00:41:54 -06:00
Zoë Gidiere	27eebf6a47	Folia support Co-authored-by: Janet Blackquill <uhhadd@gmail.com>	2023-10-02 00:23:19 -06:00
Zoë Gidiere	2d2bba20b6	found an untrue in read me	2023-10-01 23:22:44 -06:00
Zoë Gidiere	eb3994005c	fix me being fucking stupid	2023-10-01 22:46:41 -06:00
Zoë Gidiere	0a7cdb82a3	update deps + 1.20.2	2023-10-01 22:18:54 -06:00
Zoë	158deaa971	Merge pull request #408 from PolyhedralDev/dev/physics Allows you to create a block with physics enabled	2023-10-01 19:07:15 -06:00
Astrash	e51e025e9c	Implement cubic spline sampler	2023-10-02 11:14:43 +11:00
Zoë Gidiere	8e0d64dccd	Make bukkit work	2023-09-30 10:49:28 -06:00
Zoë Gidiere	23f47de10a	fix pack loading error	2023-09-29 23:35:17 -06:00
Zoë Gidiere	89651597c2	default to info logging	2023-09-29 23:32:40 -06:00
Zoë	5c0c833b70	Update LifecycleEntryPoint.java	2023-09-29 23:09:41 -06:00
Zoë Gidiere	33d654dc8e	impl fabric	2023-09-29 23:05:05 -06:00
Zoë Gidiere	f0c602d7e7	implement physics on the api side we will see if platform changes are needed	2023-09-29 22:10:03 -06:00
Zoë Gidiere	0e37a839fe	We do a little commonifying	2023-09-29 21:44:12 -06:00
Astrash	3f9ead0d66	Remove repeated code in cellular sampler	2023-09-27 13:39:51 +10:00
David W	5eeb5af6c4	Add cell center offset return to CELLULAR sampler (#407 ) * Add offset lookup return to cellular sampler * bump noise function plugin version * revert version to 1.1.0 * rename OffsetNoiseLookup, switch axis orientation * rename return type aswell in cellcampler	2023-09-21 22:23:49 +00:00
Astrash	81e354f91c	Use tectonic properly	2023-07-18 22:06:08 +10:00
Astrash	aab28ff4f9	Bump version to 6.4.0	2023-07-18 14:32:12 +10:00
Astrash	0e3a756011	Bump config-noise-function to v1.1.0	2023-07-18 14:29:54 +10:00
Astrash	02198e1b88	Implement distance sampler	2023-07-18 14:29:28 +10:00
Astrash	00aeb98419	Implement translation sampler	2023-07-18 14:27:36 +10:00
Astrash	1a784b51ac	Implement expression normalizer sampler	2023-07-18 14:25:07 +10:00
Astrash	34c0895c1f	Make metalist injection error more user friendly	2023-07-16 22:46:23 +10:00
Astrash	379fa601a3	Meta annotate LINEAR_HEIGHTMAP sampler	2023-07-16 17:04:51 +10:00
Astrash	fcbf51d80b	Allow Range keys to be meta annotated	2023-07-16 11:51:51 +10:00
Astrash	9d83dfd164	Bump version to 6.3.2	2023-07-16 11:49:14 +10:00
Astrashh	72686601ee	Merge pull request #406 from PolyhedralDev/ver/6.3.1 Ver/6.3.1	2023-07-15 07:04:10 +10:00
Astrash	73baaec6cd	Bump version to 6.3.1	2023-07-11 09:33:57 +10:00
Astrashh	0be7213ee5	Merge pull request #401 from PolyhedralDev/dev/reduce-pipeline-caching Reduce pipeline v2 caching	2023-06-20 10:10:35 +10:00
Astrash	3f3e2fe97c	Reduce pipeline v2 caching	2023-06-20 09:57:43 +10:00
dfsek	549edd11ea	update ServerCommandSourceMixin	2023-06-15 17:27:26 -07:00
dfsek	36f89946d4	update SignBlockEntityMixin	2023-06-15 17:26:04 -07:00
dfsek	18644d6100	update fabric dependencies	2023-06-15 17:22:21 -07:00
dfsek	9d38ee4329	repackage NMS 1.20.1	2023-06-15 17:18:36 -07:00
dfsek	b75a8f85e4	restore NMSChunkGeneratorDelegate#getBaseColumn	2023-06-15 17:16:20 -07:00
dfsek	aad58f5968	update nms imports	2023-06-15 17:14:45 -07:00
dfsek	a548c30484	clean up unused bstats relocation	2023-06-15 17:11:53 -07:00
dfsek	9ba46ae3a5	make new bukkit NMS module	2023-06-15 17:11:32 -07:00
dfsek	49efbed6f5	update versions	2023-06-15 17:11:04 -07:00
dfsek	4001a56100	Merge pull request #400 from PolyhedralDev/ver/6.3.0 make forge compile	2023-06-15 15:55:49 -07:00
dfsek	70dbd2f2c0	Merge pull request #399 from PolyhedralDev/ver/6.3.0 Ver/6.3.0	2023-06-15 14:05:02 -07:00