documentation

add GaussianNoiseSampler
Add KernelSampler
2026-05-20 08:40:26 +00:00 · 2021-02-18 20:34:36 -07:00 · 2021-02-18 19:51:25 -07:00 · 2021-02-18 16:04:22 -07:00 · 2021-02-17 22:14:03 -07:00 · 2021-02-17 18:35:49 -07:00
714 changed files with 28369 additions and 8537 deletions
@@ -6,7 +6,7 @@ end_of_line = lf
 indent_size = 4
 indent_style = space
 insert_final_newline = false
-max_line_length = 120
+max_line_length = 140
 tab_width = 4
 ij_continuation_indent_size = 8
 ij_formatter_off_tag = @formatter:off
@@ -137,3 +137,9 @@ build

 !lib/*.jar
 .idea/Terra.iml
+/run/
+.idea/**.iml
+/lang/
+/packs/
+/config.yml
+/region/
@@ -1,8 +0,0 @@
-# Default ignored files
-/shelf/
-/workspace.xml
-# Datasource local storage ignored files
-/dataSources/
-/dataSources.local.xml
-# Editor-based HTTP Client requests
-/httpRequests/
@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="CompilerConfiguration">
-    <bytecodeTargetLevel target="1.8" />
-  </component>
-</project>
@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="DiscordProjectSettings">
-    <option name="show" value="PROJECT_FILES" />
-  </component>
-</project>
@@ -1,18 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="GradleMigrationSettings" migrationVersion="1" />
-  <component name="GradleSettings">
-    <option name="linkedExternalProjectsSettings">
-      <GradleProjectSettings>
-        <option name="distributionType" value="DEFAULT_WRAPPED" />
-        <option name="externalProjectPath" value="$PROJECT_DIR$" />
-        <option name="gradleHome" value="/usr/share/java/gradle" />
-        <option name="modules">
-          <set>
-            <option value="$PROJECT_DIR$" />
-          </set>
-        </option>
-      </GradleProjectSettings>
-    </option>
-  </component>
-</project>
@@ -1,23 +0,0 @@
-<component name="InspectionProjectProfileManager">
-  <profile version="1.0">
-    <option name="myName" value="Project Default" />
-    <inspection_tool class="DuplicatedCode" enabled="true" level="WEAK WARNING" enabled_by_default="true">
-      <Languages>
-        <language minSize="54" name="Java" />
-      </Languages>
-    </inspection_tool>
-    <inspection_tool class="NonSerializableObjectPassedToObjectStream" enabled="true" level="WARNING" enabled_by_default="true" />
-    <inspection_tool class="SerialVersionUIDNotStaticFinal" enabled="true" level="WARNING" enabled_by_default="true" />
-    <inspection_tool class="SerializableHasSerialVersionUIDField" enabled="true" level="WARNING" enabled_by_default="true">
-      <option name="ignoreAnonymousInnerClasses" value="false" />
-      <option name="superClassString" value="java.awt.Component" />
-    </inspection_tool>
-    <inspection_tool class="SerializableInnerClassHasSerialVersionUIDField" enabled="true" level="WARNING" enabled_by_default="true">
-      <option name="ignoreAnonymousInnerClasses" value="false" />
-      <option name="superClassString" value="java.awt.Component" />
-    </inspection_tool>
-    <inspection_tool class="SerializableStoresNonSerializable" enabled="true" level="WARNING" enabled_by_default="true" />
-    <inspection_tool class="TransientFieldInNonSerializableClass" enabled="true" level="WARNING" enabled_by_default="true" />
-    <inspection_tool class="TransientFieldNotInitialized" enabled="true" level="WARNING" enabled_by_default="true" />
-  </profile>
-</component>
@@ -1,85 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="RemoteRepositoriesConfiguration">
-    <remote-repository>
-      <option name="id" value="BintrayJCenter" />
-      <option name="name" value="BintrayJCenter" />
-      <option name="url" value="https://jcenter.bintray.com/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="central" />
-      <option name="name" value="Central Repository" />
-      <option name="url" value="https://repo.maven.apache.org/maven2" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="papermc" />
-      <option name="name" value="papermc" />
-      <option name="url" value="https://papermc.io/repo/repository/maven-public/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="central" />
-      <option name="name" value="Maven Central repository" />
-      <option name="url" value="https://repo1.maven.org/maven2" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="parsii.local" />
-      <option name="name" value="parsii" />
-      <option name="url" value="file:$PROJECT_DIR$/../parsii/repo" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="local" />
-      <option name="name" value="local" />
-      <option name="url" value="file:lib" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="aikar" />
-      <option name="name" value="aikar" />
-      <option name="url" value="https://repo.aikar.co/content/groups/aikar/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="enginehub-maven" />
-      <option name="name" value="enginehub-maven" />
-      <option name="url" value="http://maven.enginehub.org/repo/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="spigotmc-repo" />
-      <option name="name" value="spigotmc-repo" />
-      <option name="url" value="https://hub.spigotmc.org/nexus/content/repositories/snapshots/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="jboss.community" />
-      <option name="name" value="JBoss Community repository" />
-      <option name="url" value="https://repository.jboss.org/nexus/content/repositories/public/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="enginehub" />
-      <option name="name" value="enginehub" />
-      <option name="url" value="https://maven.enginehub.org/repo/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="minecraft-repo" />
-      <option name="name" value="minecraft-repo" />
-      <option name="url" value="https://libraries.minecraft.net/" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="gaea.local" />
-      <option name="name" value="gaea" />
-      <option name="url" value="file:$PROJECT_DIR$/../Gaea/repo" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="gaea.local" />
-      <option name="name" value="gaea-local" />
-      <option name="url" value="file:$PROJECT_DIR$/../Gaea/repo" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="CodeMC" />
-      <option name="name" value="CodeMC" />
-      <option name="url" value="https://repo.codemc.org/repository/maven-public" />
-    </remote-repository>
-    <remote-repository>
-      <option name="id" value="MavenLocal" />
-      <option name="name" value="MavenLocal" />
-      <option name="url" value="file:$MAVEN_REPOSITORY$/" />
-    </remote-repository>
-  </component>
-</project>
@@ -1,25 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="EntryPointsManager">
-    <entry_points version="2.0">
-      <entry_point TYPE="field" FQNAME="com.dfsek.terra.util.StructureTypeEnum NETHER_FORTRESS" />
-    </entry_points>
-    <list size="1">
-      <item index="0" class="java.lang.String" itemvalue="org.bukkit.event.EventHandler" />
-    </list>
-  </component>
-  <component name="ExternalStorageConfigurationManager" enabled="true" />
-  <component name="FrameworkDetectionExcludesConfiguration">
-    <file type="web" url="file://$PROJECT_DIR$" />
-  </component>
-  <component name="MavenProjectsManager">
-    <option name="originalFiles">
-      <list>
-        <option value="$PROJECT_DIR$/pom.xml" />
-      </list>
-    </option>
-  </component>
-  <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" default="true" project-jdk-name="8" project-jdk-type="JavaSDK">
-    <output url="file://$PROJECT_DIR$/out" />
-  </component>
-</project>
@@ -1,124 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="Palette2">
-    <group name="Swing">
-      <item class="com.intellij.uiDesigner.HSpacer" tooltip-text="Horizontal Spacer" icon="/com/intellij/uiDesigner/icons/hspacer.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="1" hsize-policy="6" anchor="0" fill="1" />
-      </item>
-      <item class="com.intellij.uiDesigner.VSpacer" tooltip-text="Vertical Spacer" icon="/com/intellij/uiDesigner/icons/vspacer.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="1" anchor="0" fill="2" />
-      </item>
-      <item class="javax.swing.JPanel" icon="/com/intellij/uiDesigner/icons/panel.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JScrollPane" icon="/com/intellij/uiDesigner/icons/scrollPane.png" removable="false" auto-create-binding="false" can-attach-label="true">
-        <default-constraints vsize-policy="7" hsize-policy="7" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JButton" icon="/com/intellij/uiDesigner/icons/button.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="0" fill="1" />
-        <initial-values>
-          <property name="text" value="Button" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JRadioButton" icon="/com/intellij/uiDesigner/icons/radioButton.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="RadioButton" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JCheckBox" icon="/com/intellij/uiDesigner/icons/checkBox.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="CheckBox" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JLabel" icon="/com/intellij/uiDesigner/icons/label.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="0" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="Label" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JTextField" icon="/com/intellij/uiDesigner/icons/textField.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JPasswordField" icon="/com/intellij/uiDesigner/icons/passwordField.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JFormattedTextField" icon="/com/intellij/uiDesigner/icons/formattedTextField.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTextArea" icon="/com/intellij/uiDesigner/icons/textArea.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTextPane" icon="/com/intellij/uiDesigner/icons/textPane.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JEditorPane" icon="/com/intellij/uiDesigner/icons/editorPane.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JComboBox" icon="/com/intellij/uiDesigner/icons/comboBox.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="2" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JTable" icon="/com/intellij/uiDesigner/icons/table.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JList" icon="/com/intellij/uiDesigner/icons/list.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="2" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTree" icon="/com/intellij/uiDesigner/icons/tree.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTabbedPane" icon="/com/intellij/uiDesigner/icons/tabbedPane.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3">
-          <preferred-size width="200" height="200" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JSplitPane" icon="/com/intellij/uiDesigner/icons/splitPane.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3">
-          <preferred-size width="200" height="200" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JSpinner" icon="/com/intellij/uiDesigner/icons/spinner.png" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JSlider" icon="/com/intellij/uiDesigner/icons/slider.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JSeparator" icon="/com/intellij/uiDesigner/icons/separator.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JProgressBar" icon="/com/intellij/uiDesigner/icons/progressbar.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="0" fill="1" />
-      </item>
-      <item class="javax.swing.JToolBar" icon="/com/intellij/uiDesigner/icons/toolbar.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="0" fill="1">
-          <preferred-size width="-1" height="20" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JToolBar$Separator" icon="/com/intellij/uiDesigner/icons/toolbarSeparator.png" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="0" anchor="0" fill="1" />
-      </item>
-      <item class="javax.swing.JScrollBar" icon="/com/intellij/uiDesigner/icons/scrollbar.png" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="0" anchor="0" fill="2" />
-      </item>
-    </group>
-  </component>
-</project>
@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="VcsDirectoryMappings">
-    <mapping directory="" vcs="Git" />
-  </component>
-</project>
@@ -1,17 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<module version="4">
-  <component name="CheckStyle-IDEA-Module">
-    <option name="configuration">
-      <map />
-    </option>
-  </component>
-  <component name="FacetManager">
-    <facet type="minecraft" name="Minecraft">
-      <configuration>
-        <autoDetectTypes>
-          <platformType>SPIGOT</platformType>
-        </autoDetectTypes>
-      </configuration>
-    </facet>
-  </component>
-</module>
@@ -1,200 +1,11 @@
-import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
-import java.io.ByteArrayOutputStream
-import java.net.URL
-import java.nio.channels.Channels
-import java.nio.file.Files
-import java.nio.file.Paths
-import java.nio.file.StandardCopyOption
-//import java.util.zip.ZipFile
-import java.util.zip.ZipInputStream
+import com.dfsek.terra.getGitHash

-plugins {
-    java
-    maven
-    id("com.github.johnrengelman.shadow").version("6.1.0")
+val versionObj = Version("4", "3", "0", true)
+
+allprojects {
+    version = versionObj
+    group = "com.dfsek.terra"
 }
-
-repositories {
-    flatDir {
-        dirs("lib")
-    }
-    maven { url = uri("https://hub.spigotmc.org/nexus/content/repositories/snapshots/") }
-    maven { url = uri("http://maven.enginehub.org/repo/") }
-    maven { url = uri("https://repo.codemc.org/repository/maven-public") }
-    maven { url = uri("https://papermc.io/repo/repository/maven-public/") }
-//    maven { url = uri("https://maven.pkg.github.com/solonovamax/Gaea") }
-}
-
-java {
-    sourceCompatibility = JavaVersion.VERSION_1_8
-    targetCompatibility = JavaVersion.VERSION_1_8
-}
-
-val versionObj = Version("1", "5", "0", true)
-
-version = versionObj
-
-dependencies {
-    val gaeaVersion = "1.14.3"
-    compileOnly(name = "Gaea-${gaeaVersion}", group = "")
-    testImplementation(name = "Gaea-${gaeaVersion}", group = "")
-
-    compileOnly("org.jetbrains:annotations:20.1.0")
-
-    implementation("commons-io:commons-io:2.4")
-    implementation("org.apache.commons:commons-imaging:1.0-alpha2")
-
-    compileOnly("com.sk89q.worldedit:worldedit-bukkit:7.2.0-SNAPSHOT")
-    implementation("org.bstats:bstats-bukkit:1.7")
-
-    compileOnly("com.googlecode.json-simple:json-simple:1.1")
-
-    implementation(name = "parsii-1.2.1", group = "")
-
-    compileOnly("org.spigotmc:spigot-api:1.16.2-R0.1-SNAPSHOT")
-    implementation("io.papermc:paperlib:1.0.5")
-
-    implementation("net.jafama:jafama:2.3.2")
-
-
-    // JUnit.
-    testImplementation("org.junit.jupiter:junit-jupiter-api:5.7.0")
-    testRuntimeOnly("org.junit.jupiter:junit-jupiter-engine:5.7.0")
-}
-
-val compileJava: JavaCompile by tasks
-val mainSourceSet: SourceSet = sourceSets["main"]
-
-val tokenizeJavaSources = task<Copy>(name = "tokenizeJavaSources") {
-    from(mainSourceSet.allSource) {
-        include("**/plugin.yml")
-        println("version: $versionObj")
-        val tokens = mapOf("VERSION" to versionObj.toString())
-
-        filter(org.apache.tools.ant.filters.ReplaceTokens::class, "tokens" to tokens)
-    }
-    into("build/tokenizedSources")
-    includeEmptyDirs = false
-}
-
-
-compileJava.apply {
-    dependsOn(tokenizeJavaSources)
-
-    options.encoding = "UTF-8"
-    doFirst {
-        options.compilerArgs = mutableListOf("-Xlint:all")
-    }
-}
-
-tasks.test {
-    useJUnitPlatform()
-
-    maxHeapSize = "4G"
-    ignoreFailures = false
-    failFast = true
-    maxParallelForks = 12
-}
-
-tasks.named<ShadowJar>("shadowJar") {
-    from(tokenizeJavaSources.destinationDir)
-
-    archiveClassifier.set("")
-    archiveBaseName.set("Terra")
-    setVersion(project.version)
-    relocate("org.apache.commons", "com.dfsek.terra.lib.commons")
-    relocate("org.bstats.bukkit", "com.dfsek.terra.lib.bstats")
-    relocate("parsii", "com.dfsek.terra.lib.parsii")
-    relocate("io.papermc.lib", "com.dfsek.terra.lib.paperlib")
-    relocate("net.jafama", "com.dfsek.terra.lib.jafama")
-    minimize()
-}
-
-tasks.build {
-    dependsOn(tasks.shadowJar)
-//    dependsOn(testWithPaper)
-//    testWithPaper.mustRunAfter(tasks.shadowJar)
-}
-
-val testDir = "target/server/"
-
-val setupServer = tasks.create("setupServer") {
-    dependsOn(tasks.shadowJar)
-    doFirst {
-        // clean
-        file("${testDir}/").deleteRecursively()
-        file("${testDir}/plugins").mkdirs()
-
-        // Downloading latest paper jar.
-        val paperUrl = URL("https://papermc.io/api/v1/paper/1.16.4/latest/download")
-        val paperReadableByteChannel = Channels.newChannel(paperUrl.openStream())
-        val paperFile = file("${testDir}/paper.jar")
-        val paperFileOutputStream = paperFile.outputStream()
-        val paperFileChannel = paperFileOutputStream.channel
-        paperFileChannel.transferFrom(paperReadableByteChannel, 0, Long.MAX_VALUE)
-
-        // Cloning test setup.
-        gitClone("https://github.com/PolyhedralDev/WorldGenTestServer")
-        // Copying plugins
-        Files.move(Paths.get("WorldGenTestServer/plugins"),
-                Paths.get("$testDir/plugins"),
-                StandardCopyOption.REPLACE_EXISTING)
-        // Copying config
-        val serverText = URL("https://raw.githubusercontent.com/PolyhedralDev/WorldGenTestServer/master/server.properties").readText()
-        file("${testDir}/server.properties").writeText(serverText)
-        val bukkitText = URL("https://raw.githubusercontent.com/PolyhedralDev/WorldGenTestServer/master/bukkit.yml").readText()
-        file("${testDir}/bukkit.yml").writeText(bukkitText.replace("\${world}", "world").replace("\${gen}", "Terra:DEFAULT"))
-
-        File("${testDir}/eula.txt").writeText("eula=true")
-
-        // clean up
-        file("WorldGenTestServer").deleteRecursively()
-    }
-}
-
-val downloadDefaultPacks = tasks.create("downloadDefaultPacks") {
-    doFirst {
-        // Downloading latest paper jar.
-//        if (file("${buildDir}/resources/main/packs/default").exists() && file("${buildDir}/resources/main/packs/nether").exists())
-//            return@doFirst
-//        else
-        file("${buildDir}/resources/main/packs/").deleteRecursively()
-
-        val defaultPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/default.zip")
-        downloadAndUnzipPack(defaultPackUrl)
-        val netherPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/nether.zip")
-        downloadAndUnzipPack(netherPackUrl)
-    }
-}
-tasks.processResources.get().dependsOn(downloadDefaultPacks)
-
-val testWithPaper = task<JavaExec>(name = "testWithPaper") {
-    standardInput = System.`in`
-    dependsOn(tasks.shadowJar)
-    // Copy Terra into dir
-    doFirst {
-        copy {
-            from("${buildDir}/libs/Terra-${versionObj}.jar")
-            into("${testDir}/plugins/")
-        }
-    }
-
-    main = "io.papermc.paperclip.Paperclip"
-    jvmArgs = listOf("-XX:+UseG1GC", "-XX:+ParallelRefProcEnabled", "-XX:MaxGCPauseMillis=200",
-            "-XX:+UnlockExperimentalVMOptions", "-XX:+DisableExplicitGC", "-XX:+AlwaysPreTouch",
-            "-XX:G1NewSizePercent=30", "-XX:G1MaxNewSizePercent=40", "-XX:G1HeapRegionSize=8M",
-            "-XX:G1ReservePercent=20", "-XX:G1HeapWastePercent=5", "-XX:G1MixedGCCountTarget=4",
-            "-XX:InitiatingHeapOccupancyPercent=15", "-XX:G1MixedGCLiveThresholdPercent=90",
-            "-XX:G1RSetUpdatingPauseTimePercent=5", "-XX:SurvivorRatio=32", "-XX:+PerfDisableSharedMem",
-            "-XX:MaxTenuringThreshold=1", "-Dusing.aikars.flags=https://mcflags.emc.gs",
-            "-Daikars.new.flags=true", "-DIReallyKnowWhatIAmDoingISwear")
-    maxHeapSize = "2G"
-    args = listOf("nogui")
-    workingDir = file("${testDir}/")
-    classpath = files("${testDir}/paper.jar")
-}
-
-
 /**
 * Version class that does version stuff.
 */
@@ -207,35 +18,4 @@ class Version(val major: String, val minor: String, val revision: String, val pr
        else //Only use git hash if it's a prerelease.
            "$major.$minor.$revision-BETA+${getGitHash()}"
    }
-}
-
-fun getGitHash(): String {
-    val stdout = ByteArrayOutputStream()
-    exec {
-        commandLine = mutableListOf("git", "rev-parse", "--short", "HEAD")
-        standardOutput = stdout
-    }
-    return stdout.toString().trim()
-}
-
-fun gitClone(name: String) {
-    val stdout = ByteArrayOutputStream()
-    exec {
-        commandLine = mutableListOf("git", "clone", name)
-        standardOutput = stdout
-    }
-}
-
-fun downloadAndUnzipPack(packUrl: URL) {
-    ZipInputStream(packUrl.openStream()).use { zip ->
-        while (true) {
-            val entry = zip.nextEntry ?: break
-            if (entry.isDirectory)
-                file("${buildDir}/resources/main/packs/${entry.name}").mkdirs()
-            else
-                file("${buildDir}/resources/main/packs/${entry.name}").outputStream().use { output ->
-                    output.write(zip.readBytes())
-                }
-        }
-    }
 }
@@ -0,0 +1,13 @@
+plugins {
+    `kotlin-dsl`
+    kotlin("jvm") version embeddedKotlinVersion
+}
+
+repositories {
+    mavenCentral()
+    gradlePluginPortal()
+}
+
+dependencies {
+    "implementation"("com.github.jengelman.gradle.plugins:shadow:+")
+}
@@ -0,0 +1,47 @@
+package com.dfsek.terra
+
+import org.gradle.api.Project
+import org.gradle.api.tasks.testing.Test
+import org.gradle.kotlin.dsl.apply
+import org.gradle.kotlin.dsl.withType
+import java.io.ByteArrayOutputStream
+
+fun Project.configureCommon() {
+    apply(plugin = "java-library")
+    apply(plugin = "maven-publish")
+    apply(plugin = "idea")
+
+    configureDependencies()
+    configureCompilation()
+    configureDistribution()
+
+    version = rootProject.version
+
+
+
+    tasks.withType<Test>().configureEach {
+        useJUnitPlatform()
+
+        maxHeapSize = "2G"
+        ignoreFailures = false
+        failFast = true
+        maxParallelForks = 12
+    }
+}
+
+fun Project.getGitHash(): String {
+    val stdout = java.io.ByteArrayOutputStream()
+    exec {
+        commandLine = mutableListOf("git", "rev-parse", "--short", "HEAD")
+        standardOutput = stdout
+    }
+    return stdout.toString().trim()
+}
+
+fun Project.gitClone(name: String) {
+    val stdout = ByteArrayOutputStream()
+    exec {
+        commandLine = mutableListOf("git", "clone", name)
+        standardOutput = stdout
+    }
+}
@@ -0,0 +1,27 @@
+package com.dfsek.terra
+
+import org.gradle.api.JavaVersion
+import org.gradle.api.Project
+import org.gradle.api.plugins.JavaPluginConvention
+import org.gradle.api.tasks.compile.JavaCompile
+import org.gradle.api.tasks.javadoc.Javadoc
+import org.gradle.kotlin.dsl.configure
+import org.gradle.kotlin.dsl.withType
+
+fun Project.configureCompilation() {
+    configure<JavaPluginConvention> {
+        sourceCompatibility = JavaVersion.VERSION_1_8
+        targetCompatibility = JavaVersion.VERSION_1_8
+    }
+
+    tasks.withType<JavaCompile> {
+        options.encoding = "UTF-8"
+        doFirst {
+            options.compilerArgs = mutableListOf("-Xlint:all")
+        }
+    }
+
+    tasks.withType<Javadoc> {
+        options.encoding = "UTF-8"
+    }
+}
@@ -0,0 +1,26 @@
+package com.dfsek.terra
+
+import org.gradle.api.Project
+import org.gradle.kotlin.dsl.dependencies
+import org.gradle.kotlin.dsl.repositories
+
+fun Project.configureDependencies() {
+
+    repositories {
+        maven { url = uri("http://maven.enginehub.org/repo/") }
+        maven { url = uri("https://repo.codemc.org/repository/maven-public") }
+        maven { url = uri("https://papermc.io/repo/repository/maven-public/") }
+        maven { url = uri("https://maven.fabricmc.net/") }
+        gradlePluginPortal()
+        jcenter()
+        mavenCentral()
+    }
+
+    dependencies {
+        "testImplementation"("org.junit.jupiter:junit-jupiter-api:5.7.0")
+        "testImplementation"("org.yaml:snakeyaml:1.27")
+        "testImplementation"("com.googlecode.json-simple:json-simple:1.1.1")
+        "testRuntimeOnly"("org.junit.jupiter:junit-jupiter-engine:5.7.0")
+        "compileOnly"("org.jetbrains:annotations:20.1.0")
+    }
+}
@@ -0,0 +1,88 @@
+package com.dfsek.terra
+
+import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
+import org.gradle.api.DefaultTask
+import org.gradle.api.Project
+import org.gradle.api.plugins.BasePluginConvention
+import org.gradle.api.tasks.bundling.Jar
+import org.gradle.api.tasks.javadoc.Javadoc
+import org.gradle.kotlin.dsl.*
+import java.io.File
+import java.net.URL
+
+fun Project.configureDistribution() {
+    apply(plugin = "java-library")
+    apply(plugin = "com.github.johnrengelman.shadow")
+
+
+//    configurations.create("shaded")
+
+    configurations {
+        val shaded = create("shaded")
+        getByName("compile").extendsFrom(shaded)
+//        shaded.extendsFrom(getByName("compile"))
+        val shadedApi = create("shadedApi")
+        shaded.extendsFrom(shadedApi)
+        getByName("api").extendsFrom(shadedApi)
+        val shadedImplementation = create("shadedImplementation")
+        shaded.extendsFrom(shadedImplementation)
+        getByName("implementation").extendsFrom(shadedImplementation)
+    }
+
+//    tasks.withType<JavaCompile> {
+//        classpath +=
+//    }
+
+    val downloadDefaultPacks = tasks.create("downloadDefaultPacks") {
+        doFirst {
+            file("${buildDir}/resources/main/packs/").deleteRecursively()
+
+            val defaultPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/default.zip")
+            downloadPack(defaultPackUrl, project)
+            val netherPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/nether.zip")
+            downloadPack(netherPackUrl, project)
+        }
+    }
+    tasks["processResources"].dependsOn(downloadDefaultPacks)
+
+    tasks.withType<Jar> {
+        archiveBaseName.set("Terra-${archiveBaseName.get()}")
+        from("../LICENSE", "../../LICENSE")
+    }
+
+    tasks.register<Jar>("sourcesJar") {
+        archiveClassifier.set("sources")
+    }
+
+    tasks.register<Jar>("javadocJar") {
+        dependsOn("javadoc")
+        archiveClassifier.set("javadoc")
+        from(tasks.getByName<Javadoc>("javadoc").destinationDir)
+    }
+
+    tasks.named<ShadowJar>("shadowJar") {
+        // Tell shadow to download the packs
+        dependsOn(downloadDefaultPacks)
+
+        configurations = listOf(project.configurations["shaded"])
+
+        archiveClassifier.set("shaded")
+        setVersion(project.version)
+        relocate("org.apache.commons", "com.dfsek.terra.lib.commons")
+        relocate("parsii", "com.dfsek.terra.lib.parsii")
+        relocate("net.jafama", "com.dfsek.terra.lib.jafama")
+        minimize()
+    }
+    convention.getPlugin<BasePluginConvention>().archivesBaseName = project.name
+
+    tasks.named<DefaultTask>("build") {
+        dependsOn(tasks["shadowJar"])
+    }
+}
+
+fun downloadPack(packUrl: URL, project: Project) {
+    val fileName = packUrl.file.substring(packUrl.file.lastIndexOf("/"))
+    val file = File("${project.buildDir}/resources/main/packs/${fileName}")
+    file.parentFile.mkdirs()
+    file.outputStream().write(packUrl.readBytes())
+}
@@ -0,0 +1,50 @@
+import com.dfsek.terra.configureCommon
+
+plugins {
+    `java-library`
+    `maven-publish`
+}
+
+configureCommon()
+
+group = "com.dfsek.terra.common"
+
+dependencies {
+    "shadedApi"("org.apache.commons:commons-rng-core:1.3")
+    "shadedApi"("commons-io:commons-io:2.4")
+
+    "shadedApi"("com.dfsek:Paralithic:0.3.2")
+    "shadedApi"("com.dfsek:Tectonic:1.2.3")
+    "shadedApi"("net.jafama:jafama:2.3.2")
+    "shadedApi"("org.yaml:snakeyaml:1.27")
+    "shadedApi"("org.ow2.asm:asm:9.0")
+
+    "compileOnly"("com.googlecode.json-simple:json-simple:1.1")
+
+    "shadedApi"("com.google.guava:guava:30.0-jre")
+}
+
+publishing {
+    publications {
+        create<MavenPublication>("mavenJava") {
+            artifact(tasks["sourcesJar"])
+            artifact(tasks["jar"])
+        }
+    }
+
+    repositories {
+        val mavenUrl = "https://repo.codemc.io/repository/maven-releases/"
+        val mavenSnapshotUrl = "https://repo.codemc.io/repository/maven-snapshots/"
+
+        maven(mavenUrl) {
+            val mavenUsername: String? by project
+            val mavenPassword: String? by project
+            if (mavenUsername != null && mavenPassword != null) {
+                credentials {
+                    username = mavenUsername
+                    password = mavenPassword
+                }
+            }
+        }
+    }
+}
@@ -0,0 +1,7 @@
+package com.dfsek.terra.api;
+
+import com.dfsek.tectonic.loading.TypeRegistry;
+
+public interface LoaderRegistrar {
+    void register(TypeRegistry registry);
+}
@@ -0,0 +1,48 @@
+package com.dfsek.terra.api.core;
+
+import com.dfsek.terra.api.LoaderRegistrar;
+import com.dfsek.terra.api.core.event.EventManager;
+import com.dfsek.terra.api.platform.handle.ItemHandle;
+import com.dfsek.terra.api.platform.handle.WorldHandle;
+import com.dfsek.terra.api.platform.world.World;
+import com.dfsek.terra.config.PluginConfig;
+import com.dfsek.terra.config.lang.Language;
+import com.dfsek.terra.debug.DebugLogger;
+import com.dfsek.terra.registry.ConfigRegistry;
+import com.dfsek.terra.world.TerraWorld;
+
+import java.io.File;
+import java.util.logging.Logger;
+
+public interface TerraPlugin extends LoaderRegistrar {
+    WorldHandle getWorldHandle();
+
+    boolean isEnabled();
+
+    TerraWorld getWorld(World world);
+
+    Logger getLogger();
+
+    PluginConfig getTerraConfig();
+
+    File getDataFolder();
+
+    boolean isDebug();
+
+    Language getLanguage();
+
+    ConfigRegistry getRegistry();
+
+    void reload();
+
+    ItemHandle getItemHandle();
+
+    void saveDefaultConfig();
+
+    String platformName();
+
+
+    DebugLogger getDebugLogger();
+
+    EventManager getEventManager();
+}
@@ -0,0 +1,4 @@
+package com.dfsek.terra.api.core.event;
+
+public interface EventListener {
+}
@@ -0,0 +1,14 @@
+package com.dfsek.terra.api.core.event;
+
+import com.dfsek.terra.api.core.event.events.Event;
+
+public interface EventManager {
+    /**
+     * Call an event, and return the execution status.
+     * @param event Event to pass to all registered EventListeners.
+     * @return False if the event is cancellable and has been cancelled, otherwise true.
+     */
+    boolean callEvent(Event event);
+
+    void registerListener(EventListener listener);
+}
@@ -0,0 +1,92 @@
+package com.dfsek.terra.api.core.event;
+
+import com.dfsek.terra.api.core.TerraPlugin;
+import com.dfsek.terra.api.core.event.annotations.Priority;
+import com.dfsek.terra.api.core.event.events.Cancellable;
+import com.dfsek.terra.api.core.event.events.Event;
+import com.dfsek.terra.api.util.ReflectionUtil;
+
+import java.io.PrintWriter;
+import java.io.StringWriter;
+import java.lang.reflect.InvocationTargetException;
+import java.lang.reflect.Method;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+public class TerraEventManager implements EventManager {
+    private final Map<Class<? extends Event>, List<ListenerHolder>> listeners = new HashMap<>();
+    private final TerraPlugin main;
+
+    public TerraEventManager(TerraPlugin main) {
+        this.main = main;
+    }
+
+    @Override
+    public boolean callEvent(Event event) {
+        listeners.getOrDefault(event.getClass(), Collections.emptyList()).forEach(listenerHolder -> {
+                    try {
+                        listenerHolder.method.invoke(listenerHolder.listener, event);
+                    } catch(InvocationTargetException e) {
+                        StringWriter writer = new StringWriter();
+                        e.getTargetException().printStackTrace(new PrintWriter(writer));
+                        main.getLogger().warning("Exception occurred during event handling:");
+                        main.getLogger().warning(writer.toString());
+                        main.getLogger().warning("Report this to the maintainers of " + listenerHolder.method.getName());
+                    } catch(Exception e) {
+                        StringWriter writer = new StringWriter();
+                        e.printStackTrace(new PrintWriter(writer));
+                        main.getLogger().warning("Exception occurred during event handling:");
+                        main.getLogger().warning(writer.toString());
+                        main.getLogger().warning("Report this to the maintainers of " + listenerHolder.method.getName());
+                    }
+                }
+        );
+        if(event instanceof Cancellable) return !((Cancellable) event).isCancelled();
+        return true;
+    }
+
+    @SuppressWarnings("unchecked")
+    @Override
+    public void registerListener(EventListener listener) {
+        Class<? extends EventListener> listenerClass = listener.getClass();
+        Method[] methods = ReflectionUtil.getMethods(listenerClass);
+
+        for(Method method : methods) {
+            if(method.getParameterCount() != 1) continue; // Check that parameter count is only 1.
+            Class<?> eventParam = method.getParameterTypes()[0];
+            if(!Event.class.isAssignableFrom(eventParam)) continue; // Check that parameter is an Event.
+
+            Priority p = method.getAnnotation(Priority.class);
+
+            int priority = p == null ? 0 : p.value();
+
+            method.setAccessible(true);
+
+            List<ListenerHolder> holders = listeners.computeIfAbsent((Class<? extends Event>) eventParam, e -> new ArrayList<>());
+
+            holders.add(new ListenerHolder(method, listener, priority));
+
+            holders.sort(Comparator.comparingInt(ListenerHolder::getPriority)); // Sort priorities.
+        }
+    }
+
+    private static final class ListenerHolder {
+        private final Method method;
+        private final EventListener listener;
+        private final int priority;
+
+        private ListenerHolder(Method method, EventListener listener, int priority) {
+            this.method = method;
+            this.listener = listener;
+            this.priority = priority;
+        }
+
+        public int getPriority() {
+            return priority;
+        }
+    }
+}
@@ -0,0 +1,38 @@
+package com.dfsek.terra.api.core.event.annotations;
+
+import java.lang.annotation.ElementType;
+import java.lang.annotation.Retention;
+import java.lang.annotation.RetentionPolicy;
+import java.lang.annotation.Target;
+
+/**
+ * Annotated listener methods will have a specific priority set.
+ */
+@Retention(RetentionPolicy.RUNTIME)
+@Target(ElementType.METHOD)
+public @interface Priority {
+    /**
+     * Highest possible priority. Listeners with this priority will always be invoked first.
+     */
+    int HIGHEST = Integer.MAX_VALUE;
+    /**
+     * Lowest possible priority. Listeners with this priority will always be invoked last.
+     */
+    int LOWEST = Integer.MIN_VALUE;
+    /**
+     * Default priority.
+     */
+    int NORMAL = 0;
+    /**
+     * High priority.
+     */
+    int HIGH = 1;
+    /**
+     * Low Priority.
+     */
+    int LOW = -1;
+    /**
+     * @return Priority of this event. Events are executed from lowest to highest priorities.
+     */
+    int value();
+}
@@ -0,0 +1,11 @@
+package com.dfsek.terra.api.core.event.events;
+
+/**
+ * Events that implement this interface may be cancelled.
+ *
+ * Cancelling an event is assumed to stop the execution of whatever action triggered the event.
+ */
+public interface Cancellable extends Event {
+    boolean isCancelled();
+    void setCancelled();
+}
@@ -0,0 +1,4 @@
+package com.dfsek.terra.api.core.event.events;
+
+public interface Event {
+}
@@ -0,0 +1,16 @@
+package com.dfsek.terra.api.core.event.events.config;
+
+import com.dfsek.terra.api.core.event.events.Event;
+import com.dfsek.terra.config.pack.ConfigPack;
+
+public abstract class ConfigPackLoadEvent implements Event {
+    private final ConfigPack pack;
+
+    public ConfigPackLoadEvent(ConfigPack pack) {
+        this.pack = pack;
+    }
+
+    public ConfigPack getPack() {
+        return pack;
+    }
+}
@@ -0,0 +1,12 @@
+package com.dfsek.terra.api.core.event.events.config;
+
+import com.dfsek.terra.config.pack.ConfigPack;
+
+/**
+ * Called when a config pack has finished loading.
+ */
+public class ConfigPackPostLoadEvent extends ConfigPackLoadEvent {
+    public ConfigPackPostLoadEvent(ConfigPack pack) {
+        super(pack);
+    }
+}
@@ -0,0 +1,12 @@
+package com.dfsek.terra.api.core.event.events.config;
+
+import com.dfsek.terra.config.pack.ConfigPack;
+
+/**
+ * Called before a config pack's registries are filled. At this point, the pack manifest has been loaded, and all registries are empty.
+ */
+public class ConfigPackPreLoadEvent extends ConfigPackLoadEvent {
+    public ConfigPackPreLoadEvent(ConfigPack pack) {
+        super(pack);
+    }
+}
@@ -0,0 +1,19 @@
+package com.dfsek.terra.api.core.event.events.world;
+
+import com.dfsek.terra.api.core.event.events.Event;
+import com.dfsek.terra.world.TerraWorld;
+
+/**
+ * Called upon initialization of a TerraWorld.
+ */
+public class TerraWorldLoadEvent implements Event {
+    private final TerraWorld world;
+
+    public TerraWorldLoadEvent(TerraWorld world) {
+        this.world = world;
+    }
+
+    public TerraWorld getWorld() {
+        return world;
+    }
+}
@@ -1,9 +1,8 @@
-package com.dfsek.terra.procgen;
+package com.dfsek.terra.api.math;

-import org.bukkit.util.Vector;
-import org.polydev.gaea.math.MathUtil;
-import org.polydev.gaea.util.FastRandom;
-import org.polydev.gaea.util.GlueList;
+import com.dfsek.terra.api.math.vector.Vector3;
+import com.dfsek.terra.api.util.FastRandom;
+import com.dfsek.terra.api.util.GlueList;

 import java.util.List;
 import java.util.Random;
@@ -14,10 +13,12 @@ import java.util.Random;
 public class GridSpawn {
    private final int separation;
    private final int width;
+    private final int salt;

-    public GridSpawn(int width, int separation) {
+    public GridSpawn(int width, int separation, int salt) {
        this.separation = separation;
        this.width = width;
+        this.salt = salt;
    }

    /**
@@ -28,18 +29,18 @@ public class GridSpawn {
     * @param seed Seed for RNG
     * @return Vector representing nearest spawnpoint
     */
-    public Vector getNearestSpawn(int x, int z, long seed) {
+    public Vector3 getNearestSpawn(int x, int z, long seed) {
        int structureChunkX = x / (width + 2 * separation);
        int structureChunkZ = z / (width + 2 * separation);
-        List<Vector> zones = new GlueList<>();
+        List<Vector3> zones = new GlueList<>();
        for(int xi = structureChunkX - 1; xi <= structureChunkX + 1; xi++) {
            for(int zi = structureChunkZ - 1; zi <= structureChunkZ + 1; zi++) {
                zones.add(getChunkSpawn(xi, zi, seed));
            }
        }
-        Vector shortest = zones.get(0);
-        Vector compare = new Vector(x, 0, z);
-        for(Vector v : zones) {
+        Vector3 shortest = zones.get(0);
+        Vector3 compare = new Vector3(x, 0, z);
+        for(Vector3 v : zones) {
            if(compare.distanceSquared(shortest) > compare.distanceSquared(v)) shortest = v.clone();
        }
        return shortest;
@@ -53,13 +54,13 @@ public class GridSpawn {
     * @param seed            Seed for RNG
     * @return Vector representing spawnpoint
     */
-    public Vector getChunkSpawn(int structureChunkX, int structureChunkZ, long seed) {
-        Random r = new FastRandom(MathUtil.getCarverChunkSeed(structureChunkX, structureChunkZ, seed));
+    public Vector3 getChunkSpawn(int structureChunkX, int structureChunkZ, long seed) {
+        Random r = new FastRandom(MathUtil.getCarverChunkSeed(structureChunkX, structureChunkZ, seed + salt));
        int offsetX = r.nextInt(width);
        int offsetZ = r.nextInt(width);
        int sx = structureChunkX * (width + 2 * separation) + offsetX;
        int sz = structureChunkZ * (width + 2 * separation) + offsetZ;
-        return new Vector(sx, 0, sz);
+        return new Vector3(sx, 0, sz);
    }

    public int getWidth() {
@@ -0,0 +1,193 @@
+package com.dfsek.terra.api.math;
+
+import com.dfsek.terra.api.util.FastRandom;
+import com.dfsek.terra.world.generation.math.Sampler;
+import net.jafama.FastMath;
+
+import java.util.List;
+import java.util.Random;
+
+/**
+ * Utility class for mathematical functions.
+ */
+public final class MathUtil {
+    /**
+     * Epsilon for fuzzy floating point comparisons.
+     */
+    public static final double EPSILON = 1.0E-5;
+    /**
+     * Derivative constant.
+     */
+    private static final double DERIVATIVE_DIST = 0.55;
+
+    /**
+     * Gets the standard deviation of an array of doubles.
+     *
+     * @param numArray The array of numbers to calculate the standard deviation of.
+     * @return double - The standard deviation.
+     */
+    public static double standardDeviation(List<Number> numArray) {
+        double sum = 0.0, standardDeviation = 0.0;
+        int length = numArray.size();
+
+        for(Number num : numArray) {
+            sum += num.doubleValue();
+        }
+
+        double mean = sum / length;
+
+        for(Number num : numArray) {
+            standardDeviation += FastMath.pow2(num.doubleValue() - mean);
+        }
+
+        return FastMath.sqrt(standardDeviation / length);
+    }
+
+    /**
+     * Gets the carver seed for a chunk.
+     *
+     * @param chunkX Chunk's X coordinate
+     * @param chunkZ Chunk's Z coordinate
+     * @param seed   World seed
+     * @return long - The carver seed.
+     */
+    public static long getCarverChunkSeed(int chunkX, int chunkZ, long seed) {
+        Random r = new FastRandom(seed);
+        return chunkX * r.nextLong() ^ chunkZ * r.nextLong() ^ seed;
+    }
+
+    public static long hashToLong(String s) {
+        if(s == null) {
+            return 0;
+        }
+        long hash = 0;
+        for(char c : s.toCharArray()) {
+            hash = 31L * hash + c;
+        }
+        return hash;
+    }
+
+    /**
+     * Compare 2 floating-point values with epsilon to account for rounding errors
+     *
+     * @param a Value 1
+     * @param b Value 2
+     * @return Whether these values are equal
+     */
+    public static boolean equals(double a, double b) {
+        return a == b || FastMath.abs(a - b) < EPSILON;
+    }
+
+    public static double derivative(Sampler sampler, double x, double y, double z) {
+        double baseSample = sampler.sample(x, y, z);
+
+        double xVal1 = (sampler.sample(x + DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
+        double xVal2 = (sampler.sample(x - DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
+        double zVal1 = (sampler.sample(x, y, z + DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
+        double zVal2 = (sampler.sample(x, y, z - DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
+        double yVal1 = (sampler.sample(x, y + DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
+        double yVal2 = (sampler.sample(x, y - DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
+
+        return Math.sqrt(((xVal2 - xVal1) * (xVal2 - xVal1)) + ((zVal2 - zVal1) * (zVal2 - zVal1)) + ((yVal2 - yVal1) * (yVal2 - yVal1)));
+    }
+
+    public static int normalizeIndex(double val, int size) {
+        return FastMath.max(FastMath.min(FastMath.floorToInt(((val + 1D) / 2D) * size), size - 1), 0);
+    }
+
+    public static long squash(int first, int last) {
+        return (((long) first) << 32) | (last & 0xffffffffL);
+    }
+
+    /**
+     * Clamp value to range of [-1, 1]
+     *
+     * @param in Value to clamp
+     * @return Clamped value
+     */
+    public static double clamp(double in) {
+        return FastMath.min(FastMath.max(in, -1), 1);
+    }
+
+    /**
+     * Compute the value in a normally distributed data set that has probability p.
+     *
+     * @param p     Probability of value
+     * @param mu    Mean of data
+     * @param sigma Standard deviation of data
+     * @return Value corresponding to input probability
+     */
+    public static double normalInverse(double p, double mu, double sigma) {
+        if(p < 0 || p > 1)
+            throw new IllegalArgumentException("Probability must be in range [0, 1]");
+        if(sigma < 0)
+            throw new IllegalArgumentException("Standard deviation must be positive.");
+        if(p == 0)
+            return Double.NEGATIVE_INFINITY;
+        if(p == 1)
+            return Double.POSITIVE_INFINITY;
+        if(sigma == 0)
+            return mu;
+        double q, r, val;
+
+        q = p - 0.5;
+
+        if(FastMath.abs(q) <= .425) {
+            r = .180625 - q * q;
+            val =
+                    q * (((((((r * 2509.0809287301226727 +
+                            33430.575583588128105) * r + 67265.770927008700853) * r +
+                            45921.953931549871457) * r + 13731.693765509461125) * r +
+                            1971.5909503065514427) * r + 133.14166789178437745) * r +
+                            3.387132872796366608)
+                            / (((((((r * 5226.495278852854561 +
+                            28729.085735721942674) * r + 39307.89580009271061) * r +
+                            21213.794301586595867) * r + 5394.1960214247511077) * r +
+                            687.1870074920579083) * r + 42.313330701600911252) * r + 1);
+        } else {
+            if(q > 0) {
+                r = 1 - p;
+            } else {
+                r = p;
+            }
+
+            r = FastMath.sqrt(-FastMath.log(r));
+
+            if(r <= 5) {
+                r += -1.6;
+                val = (((((((r * 7.7454501427834140764e-4 +
+                        .0227238449892691845833) * r + .24178072517745061177) *
+                        r + 1.27045825245236838258) * r +
+                        3.64784832476320460504) * r + 5.7694972214606914055) *
+                        r + 4.6303378461565452959) * r +
+                        1.42343711074968357734)
+                        / (((((((r *
+                        1.05075007164441684324e-9 + 5.475938084995344946e-4) *
+                        r + .0151986665636164571966) * r +
+                        .14810397642748007459) * r + .68976733498510000455) *
+                        r + 1.6763848301838038494) * r +
+                        2.05319162663775882187) * r + 1);
+            } else {
+                r += -5;
+                val = (((((((r * 2.01033439929228813265e-7 +
+                        2.71155556874348757815e-5) * r +
+                        .0012426609473880784386) * r + .026532189526576123093) *
+                        r + .29656057182850489123) * r +
+                        1.7848265399172913358) * r + 5.4637849111641143699) *
+                        r + 6.6579046435011037772)
+                        / (((((((r *
+                        2.04426310338993978564e-15 + 1.4215117583164458887e-7) *
+                        r + 1.8463183175100546818e-5) * r +
+                        7.868691311456132591e-4) * r + .0148753612908506148525)
+                        * r + .13692988092273580531) * r +
+                        .59983220655588793769) * r + 1);
+            }
+
+            if(q < 0.0) {
+                val = -val;
+            }
+        }
+
+        return mu + sigma * val;
+    }
+}
@@ -0,0 +1,96 @@
+package com.dfsek.terra.api.math;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.Random;
+import java.util.Set;
+
+@SuppressWarnings("unchecked")
+public class ProbabilityCollection<E> {
+    private final Set<E> cont = new HashSet<>();
+    private Object[] array = new Object[0];
+    private int size;
+
+    public com.dfsek.terra.api.math.ProbabilityCollection<E> add(E item, int probability) {
+        if(!cont.contains(item)) size++;
+        cont.add(item);
+        int oldLength = array.length;
+        Object[] newArray = new Object[array.length + probability];
+        System.arraycopy(array, 0, newArray, 0, array.length); // Expand array.
+        array = newArray;
+        for(int i = oldLength; i < array.length; i++) array[i] = item;
+        return this;
+    }
+
+    public E get(Random r) {
+        if(array.length == 0) return null;
+        return (E) array[r.nextInt(array.length)];
+    }
+
+    public E get(NoiseSampler n, double x, double y, double z) {
+        if(array.length == 0) return null;
+        return (E) array[MathUtil.normalizeIndex(n.getNoise(x, y, z), array.length)];
+    }
+
+    public E get(NoiseSampler n, double x, double z) {
+        if(array.length == 0) return null;
+        return (E) array[MathUtil.normalizeIndex(n.getNoise(x, z), array.length)];
+    }
+
+    public int getTotalProbability() {
+        return array.length;
+    }
+
+    public int size() {
+        return size;
+    }
+
+    public Set<E> getContents() {
+        return new HashSet<>(cont);
+    }
+
+    public static final class Singleton<T> extends ProbabilityCollection<T> {
+        private final T single;
+
+        public Singleton(T single) {
+            this.single = single;
+        }
+
+        @Override
+        public ProbabilityCollection<T> add(T item, int probability) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public T get(Random r) {
+            return single;
+        }
+
+        @Override
+        public T get(NoiseSampler n, double x, double y, double z) {
+            return single;
+        }
+
+        @Override
+        public T get(NoiseSampler n, double x, double z) {
+            return single;
+        }
+
+        @Override
+        public int getTotalProbability() {
+            return 1;
+        }
+
+        @Override
+        public int size() {
+            return 1;
+        }
+
+        @Override
+        public Set<T> getContents() {
+            return Collections.singleton(single);
+        }
+    }
+}
@@ -0,0 +1,123 @@
+package com.dfsek.terra.api.math;
+
+import net.jafama.FastMath;
+import org.jetbrains.annotations.NotNull;
+
+import java.util.Iterator;
+import java.util.Random;
+
+public class Range implements Iterable<Integer> {
+    private int min;
+    private int max;
+
+    public Range(int min, int max) {
+        if(min > max) throw new IllegalArgumentException("Minimum must not be grater than maximum!");
+        this.max = max;
+        this.min = min;
+    }
+
+    public boolean isInRange(int test) {
+        return test >= min && test < max;
+    }
+
+    public int getMax() {
+        return max;
+    }
+
+    public com.dfsek.terra.api.math.Range setMax(int max) {
+        this.max = max;
+        return this;
+    }
+
+    public int getMin() {
+        return min;
+    }
+
+    public com.dfsek.terra.api.math.Range setMin(int min) {
+        this.min = min;
+        return this;
+    }
+
+    public int getRange() {
+        return max - min;
+    }
+
+    public com.dfsek.terra.api.math.Range multiply(int mult) {
+        min *= mult;
+        max *= mult;
+        return this;
+    }
+
+    public com.dfsek.terra.api.math.Range reflect(int pt) {
+        return new com.dfsek.terra.api.math.Range(2 * pt - this.getMax(), 2 * pt - this.getMin());
+    }
+
+    public int get(Random r) {
+        return r.nextInt((max - min) + 1) + min;
+    }
+
+    public com.dfsek.terra.api.math.Range intersects(com.dfsek.terra.api.math.Range other) {
+        try {
+            return new com.dfsek.terra.api.math.Range(FastMath.max(this.getMin(), other.getMin()), FastMath.min(this.getMax(), other.getMax()));
+        } catch(IllegalArgumentException e) {
+            return null;
+        }
+    }
+
+    public com.dfsek.terra.api.math.Range add(int add) {
+        this.min += add;
+        this.max += add;
+        return this;
+    }
+
+    public com.dfsek.terra.api.math.Range sub(int sub) {
+        this.min -= sub;
+        this.max -= sub;
+        return this;
+    }
+
+    @Override
+    public String toString() {
+        return "Min: " + getMin() + ", Max:" + getMax();
+    }
+
+    @Override
+    public int hashCode() {
+        return min * 31 + max;
+    }
+
+    @Override
+    public boolean equals(Object obj) {
+        if(!(obj instanceof com.dfsek.terra.api.math.Range)) return false;
+        com.dfsek.terra.api.math.Range other = (com.dfsek.terra.api.math.Range) obj;
+        return other.getMin() == this.getMin() && other.getMax() == this.getMax();
+    }
+
+    @NotNull
+    @Override
+    public Iterator<Integer> iterator() {
+        return new RangeIterator(this);
+    }
+
+    private static class RangeIterator implements Iterator<Integer> {
+        private final com.dfsek.terra.api.math.Range m;
+        private Integer current;
+
+        public RangeIterator(com.dfsek.terra.api.math.Range m) {
+            this.m = m;
+            current = m.getMin();
+        }
+
+        @Override
+        public boolean hasNext() {
+            return current < m.getMax();
+        }
+
+        @Override
+        public Integer next() {
+            current++;
+            return current - 1;
+        }
+    }
+}
+
@@ -0,0 +1,32 @@
+package com.dfsek.terra.api.math.noise;
+
+import com.dfsek.terra.api.math.vector.Vector2;
+import com.dfsek.terra.api.math.vector.Vector3;
+
+public interface NoiseSampler {
+    /**
+     * 2D noise at given position using current settings
+     * <p>
+     * Noise output bounded between -1...1
+     */
+    double getNoise(double x, double y);
+
+    /**
+     * 3D noise at given position using current settings
+     * <p>
+     * Noise output bounded between -1...1
+     */
+    double getNoise(double x, double y, double z);
+
+    default double getNoise(Vector3 vector3) {
+        return getNoise(vector3.getX(), vector3.getY(), vector3.getZ());
+    }
+
+    default double getNoise(Vector2 vector2) {
+        return getNoise(vector2.getX(), vector2.getZ());
+    }
+
+    double getNoiseSeeded(int seed, double x, double y);
+
+    double getNoiseSeeded(int seed, double x, double y, double z);
+}
@@ -0,0 +1,20 @@
+package com.dfsek.terra.api.math.noise.normalizer;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import net.jafama.FastMath;
+
+public class ClampNormalizer extends Normalizer {
+    private final double min;
+    private final double max;
+
+    public ClampNormalizer(NoiseSampler sampler, double min, double max) {
+        super(sampler);
+        this.min = min;
+        this.max = max;
+    }
+
+    @Override
+    public double normalize(double in) {
+        return FastMath.max(FastMath.min(in, max), min);
+    }
+}
@@ -0,0 +1,22 @@
+package com.dfsek.terra.api.math.noise.normalizer;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+/**
+ * Normalizer to linearly scale data's range.
+ */
+public class LinearNormalizer extends Normalizer {
+    private final double min;
+    private final double max;
+
+    public LinearNormalizer(NoiseSampler sampler, double min, double max) {
+        super(sampler);
+        this.min = min;
+        this.max = max;
+    }
+
+    @Override
+    public double normalize(double in) {
+        return (in - min) * (2 / (max - min)) - 1;
+    }
+}
@@ -0,0 +1,45 @@
+package com.dfsek.terra.api.math.noise.normalizer;
+
+import com.dfsek.terra.api.math.MathUtil;
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import net.jafama.FastMath;
+
+/**
+ * Normalizer to redistribute normally distributed data to a continuous distribution via an automatically generated lookup table.
+ */
+public class NormalNormalizer extends Normalizer {
+
+    private final double[] lookup;
+
+    public NormalNormalizer(NoiseSampler sampler, int buckets, double mean, double standardDeviation) {
+        super(sampler);
+        this.lookup = new double[buckets];
+
+        for(int i = 0; i < buckets; i++) {
+            lookup[i] = MathUtil.normalInverse((double) i / buckets, mean, standardDeviation);
+        }
+    }
+
+    @Override
+    public double normalize(double in) {
+        int start = 0;
+        int end = lookup.length - 1;
+        while(start + 1 < end) {
+            int mid = start + (end - start) / 2;
+            if(lookup[mid] <= in) {
+                start = mid;
+            } else {
+                end = mid;
+            }
+        }
+        double left = FastMath.abs(lookup[start] - in);
+        double right = FastMath.abs(lookup[end] - in);
+
+        double fin;
+        if(left <= right) {
+            fin = (double) start / (lookup.length);
+        } else fin = (double) end / (lookup.length);
+
+        return (fin - 0.5) * 2;
+    }
+}
@@ -0,0 +1,33 @@
+package com.dfsek.terra.api.math.noise.normalizer;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public abstract class Normalizer implements NoiseSampler {
+    private final NoiseSampler sampler;
+
+    public Normalizer(NoiseSampler sampler) {
+        this.sampler = sampler;
+    }
+
+    public abstract double normalize(double in);
+
+    @Override
+    public double getNoise(double x, double y) {
+        return normalize(sampler.getNoise(x, y));
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return normalize(sampler.getNoise(x, y, z));
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        return normalize(sampler.getNoiseSeeded(seed, x, y));
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        return normalize(sampler.getNoiseSeeded(seed, x, y, z));
+    }
+}
@@ -0,0 +1,44 @@
+package com.dfsek.terra.api.math.noise.samplers;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class DomainWarpedSampler implements NoiseSampler {
+    private final NoiseSampler function;
+    private final NoiseSampler warp;
+    private final int seed;
+    private final double amplitude;
+
+    public DomainWarpedSampler(NoiseSampler function, NoiseSampler warp, int seed, double amplitude) {
+        this.function = function;
+        this.warp = warp;
+        this.seed = seed;
+        this.amplitude = amplitude;
+    }
+
+    @Override
+    public double getNoise(double x, double y) {
+        return getNoiseSeeded(seed, x, y);
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return getNoiseSeeded(seed, x, y, z);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        return function.getNoise(
+                x + warp.getNoiseSeeded(seed, x, y) * amplitude,
+                y + warp.getNoiseSeeded(seed + 1, x, y) * amplitude
+        );
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        return function.getNoise(
+                x + warp.getNoiseSeeded(seed, x, y, z) * amplitude,
+                y + warp.getNoiseSeeded(seed + 1, x, y, z) * amplitude,
+                z + warp.getNoiseSeeded(seed + 2, x, y, z) * amplitude
+        );
+    }
+}
@@ -0,0 +1,67 @@
+package com.dfsek.terra.api.math.noise.samplers;
+
+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.terra.api.math.noise.NoiseSampler;
+import com.dfsek.terra.api.math.paralithic.defined.UserDefinedFunction;
+import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction2;
+import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction3;
+import com.dfsek.terra.api.util.seeded.NoiseSeeded;
+import com.dfsek.terra.config.loaders.config.function.FunctionTemplate;
+
+import java.util.Map;
+
+/**
+ * Sampler implementation using Paralithic expression
+ */
+public class ExpressionSampler implements NoiseSampler {
+    private final Expression expression;
+
+    public ExpressionSampler(String equation, Scope parent, long seed, Map<String, NoiseSeeded> functions, Map<String, FunctionTemplate> definedFunctions) throws ParseException {
+        Parser parser = new Parser();
+        Scope scope = new Scope().withParent(parent);
+
+        scope.addInvocationVariable("x");
+        scope.addInvocationVariable("y");
+        scope.addInvocationVariable("z");
+
+        functions.forEach((id, noise) -> {
+            switch(noise.getDimensions()) {
+                case 2:
+                    parser.registerFunction(id, new NoiseFunction2(noise.apply(seed)));
+                    break;
+                case 3:
+                    parser.registerFunction(id, new NoiseFunction3(noise.apply(seed)));
+                    break;
+            }
+        });
+
+        for(Map.Entry<String, FunctionTemplate> entry : definedFunctions.entrySet()) {
+            parser.registerFunction(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue(), parser, parent));
+        }
+
+        this.expression = parser.parse(equation, scope);
+    }
+
+    @Override
+    public double getNoise(double x, double y) {
+        return getNoise(x, 0, y);
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return expression.evaluate(x, y, z);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        return getNoise(x, y);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        return getNoise(x, y, z);
+    }
+}
@@ -0,0 +1,70 @@
+package com.dfsek.terra.api.math.noise.samplers;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import net.jafama.FastMath;
+
+import java.awt.image.BufferedImage;
+
+public class ImageSampler implements NoiseSampler {
+    private final BufferedImage image;
+    private final Channel channel;
+
+    private final double frequency;
+
+    public ImageSampler(BufferedImage image, Channel channel, double frequency) {
+        this.image = image;
+        this.channel = channel;
+        this.frequency = frequency;
+    }
+
+    @Override
+    public double getNoise(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) * 2;
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return getNoise(x, y);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        return getNoise(x, y);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        return getNoise(x, y, z);
+    }
+
+    public enum Channel {
+        RED {
+            @Override
+            public int getChannel(int mashed) {
+                return (mashed >> 16) & 0xff;
+            }
+        }, GREEN {
+            @Override
+            public int getChannel(int mashed) {
+                return (mashed >> 8) & 0xff;
+            }
+        }, BLUE {
+            @Override
+            public int getChannel(int mashed) {
+                return mashed & 0xff;
+            }
+        }, GRAYSCALE {
+            @Override
+            public int getChannel(int mashed) {
+                return (RED.getChannel(mashed) + GREEN.getChannel(mashed) + BLUE.getChannel(mashed)) / 3;
+            }
+        }, ALPHA {
+            @Override
+            public int getChannel(int mashed) {
+                return (mashed >> 24) & 0xff;
+            }
+        };
+
+        public abstract int getChannel(int mashed);
+    }
+}
@@ -0,0 +1,59 @@
+package com.dfsek.terra.api.math.noise.samplers;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class KernelSampler implements NoiseSampler {
+    private final double[][] kernel;
+    private final NoiseSampler in;
+    private double frequency = 1;
+
+    public KernelSampler(double[][] kernel, NoiseSampler in) {
+        this.kernel = kernel;
+        this.in = in;
+    }
+
+    @Override
+    public double getNoise(double x, double y) {
+        return getNoiseSeeded(0, x, y);
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return getNoiseSeeded(0, x, y, z);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        x *= frequency;
+        y *= frequency;
+        double accumulator = 0;
+
+        for(int kx = 0; kx < kernel.length; kx++) {
+            for(int ky = 0; ky < kernel[kx].length; ky++) {
+                accumulator += in.getNoise(x + kx, y + ky) * kernel[kx][ky];
+            }
+        }
+
+        return accumulator;
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        x *= frequency;
+        y *= frequency;
+        z *= frequency;
+        double accumulator = 0;
+
+        for(int kx = 0; kx < kernel.length; kx++) {
+            for(int ky = 0; ky < kernel[kx].length; ky++) {
+                accumulator += in.getNoise(x + kx, y, z + ky) * kernel[kx][ky];
+            }
+        }
+
+        return accumulator;
+    }
+
+    public void setFrequency(double frequency) {
+        this.frequency = frequency;
+    }
+}
@@ -0,0 +1,565 @@
+package com.dfsek.terra.api.math.noise.samplers.noise;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import com.dfsek.terra.api.math.noise.samplers.noise.simplex.OpenSimplex2Sampler;
+import com.dfsek.terra.api.math.vector.Vector2;
+import com.dfsek.terra.api.math.vector.Vector3;
+
+/**
+ * NoiseSampler implementation for Cellular (Voronoi/Worley) Noise.
+ */
+public class CellularSampler extends NoiseFunction {
+    private static final double[] RAND_VECS_3D = {
+            -0.7292736885d, -0.6618439697d, 0.1735581948d, 0, 0.790292081d, -0.5480887466d, -0.2739291014d, 0, 0.7217578935d, 0.6226212466d,
+            -0.3023380997d, 0, 0.565683137d, -0.8208298145d, -0.0790000257d, 0, 0.760049034d, -0.5555979497d, -0.3370999617d, 0,
+            0.3713945616d, 0.5011264475d, 0.7816254623d, 0, -0.1277062463d, -0.4254438999d, -0.8959289049d, 0, -0.2881560924d,
+            -0.5815838982d, 0.7607405838d, 0, 0.5849561111d, -0.662820239d, -0.4674352136d, 0, 0.3307171178d, 0.0391653737d, 0.94291689d, 0,
+            0.8712121778d, -0.4113374369d, -0.2679381538d, 0, 0.580981015d, 0.7021915846d, 0.4115677815d, 0, 0.503756873d, 0.6330056931d,
+            -0.5878203852d, 0, 0.4493712205d, 0.601390195d, 0.6606022552d, 0, -0.6878403724d, 0.09018890807d, -0.7202371714d, 0,
+            -0.5958956522d, -0.6469350577d, 0.475797649d, 0, -0.5127052122d, 0.1946921978d, -0.8361987284d, 0, -0.9911507142d,
+            -0.05410276466d, -0.1212153153d, 0, -0.2149721042d, 0.9720882117d, -0.09397607749d, 0, -0.7518650936d, -0.5428057603d,
+            0.3742469607d, 0, 0.5237068895d, 0.8516377189d, -0.02107817834d, 0, 0.6333504779d, 0.1926167129d, -0.7495104896d, 0,
+            -0.06788241606d, 0.3998305789d, 0.9140719259d, 0, -0.5538628599d, -0.4729896695d, -0.6852128902d, 0, -0.7261455366d,
+            -0.5911990757d, 0.3509933228d, 0, -0.9229274737d, -0.1782808786d, 0.3412049336d, 0, -0.6968815002d, 0.6511274338d,
+            0.3006480328d, 0, 0.9608044783d, -0.2098363234d, -0.1811724921d, 0, 0.06817146062d, -0.9743405129d, 0.2145069156d, 0,
+            -0.3577285196d, -0.6697087264d, -0.6507845481d, 0, -0.1868621131d, 0.7648617052d, -0.6164974636d, 0, -0.6541697588d,
+            0.3967914832d, 0.6439087246d, 0, 0.6993340405d, -0.6164538506d, 0.3618239211d, 0, -0.1546665739d, 0.6291283928d, 0.7617583057d,
+            0, -0.6841612949d, -0.2580482182d, -0.6821542638d, 0, 0.5383980957d, 0.4258654885d, 0.7271630328d, 0, -0.5026987823d,
+            -0.7939832935d, -0.3418836993d, 0, 0.3202971715d, 0.2834415347d, 0.9039195862d, 0, 0.8683227101d, -0.0003762656404d,
+            -0.4959995258d, 0, 0.791120031d, -0.08511045745d, 0.6057105799d, 0, -0.04011016052d, -0.4397248749d, 0.8972364289d, 0,
+            0.9145119872d, 0.3579346169d, -0.1885487608d, 0, -0.9612039066d, -0.2756484276d, 0.01024666929d, 0, 0.6510361721d,
+            -0.2877799159d, -0.7023778346d, 0, -0.2041786351d, 0.7365237271d, 0.644859585d, 0, -0.7718263711d, 0.3790626912d, 0.5104855816d,
+            0, -0.3060082741d, -0.7692987727d, 0.5608371729d, 0, 0.454007341d, -0.5024843065d, 0.7357899537d, 0, 0.4816795475d,
+            0.6021208291d, -0.6367380315d, 0, 0.6961980369d, -0.3222197429d, 0.641469197d, 0, -0.6532160499d, -0.6781148932d, 0.3368515753d,
+            0, 0.5089301236d, -0.6154662304d, -0.6018234363d, 0, -0.1635919754d, -0.9133604627d, -0.372840892d, 0, 0.52408019d,
+            -0.8437664109d, 0.1157505864d, 0, 0.5902587356d, 0.4983817807d, -0.6349883666d, 0, 0.5863227872d, 0.494764745d, 0.6414307729d,
+            0, 0.6779335087d, 0.2341345225d, 0.6968408593d, 0, 0.7177054546d, -0.6858979348d, 0.120178631d, 0, -0.5328819713d,
+            -0.5205125012d, 0.6671608058d, 0, -0.8654874251d, -0.0700727088d, -0.4960053754d, 0, -0.2861810166d, 0.7952089234d,
+            0.5345495242d, 0, -0.04849529634d, 0.9810836427d, -0.1874115585d, 0, -0.6358521667d, 0.6058348682d, 0.4781800233d, 0,
+            0.6254794696d, -0.2861619734d, 0.7258696564d, 0, -0.2585259868d, 0.5061949264d, -0.8227581726d, 0, 0.02136306781d,
+            0.5064016808d, -0.8620330371d, 0, 0.200111773d, 0.8599263484d, 0.4695550591d, 0, 0.4743561372d, 0.6014985084d, -0.6427953014d,
+            0, 0.6622993731d, -0.5202474575d, -0.5391679918d, 0, 0.08084972818d, -0.6532720452d, 0.7527940996d, 0, -0.6893687501d,
+            0.0592860349d, 0.7219805347d, 0, -0.1121887082d, -0.9673185067d, 0.2273952515d, 0, 0.7344116094d, 0.5979668656d, -0.3210532909d,
+            0, 0.5789393465d, -0.2488849713d, 0.7764570201d, 0, 0.6988182827d, 0.3557169806d, -0.6205791146d, 0, -0.8636845529d,
+            -0.2748771249d, -0.4224826141d, 0, -0.4247027957d, -0.4640880967d, 0.777335046d, 0, 0.5257722489d, -0.8427017621d,
+            0.1158329937d, 0, 0.9343830603d, 0.316302472d, -0.1639543925d, 0, -0.1016836419d, -0.8057303073d, -0.5834887393d, 0,
+            -0.6529238969d, 0.50602126d, -0.5635892736d, 0, -0.2465286165d, -0.9668205684d, -0.06694497494d, 0, -0.9776897119d,
+            -0.2099250524d, -0.007368825344d, 0, 0.7736893337d, 0.5734244712d, 0.2694238123d, 0, -0.6095087895d, 0.4995678998d,
+            0.6155736747d, 0, 0.5794535482d, 0.7434546771d, 0.3339292269d, 0, -0.8226211154d, 0.08142581855d, 0.5627293636d, 0,
+            -0.510385483d, 0.4703667658d, 0.7199039967d, 0, -0.5764971849d, -0.07231656274d, -0.8138926898d, 0, 0.7250628871d,
+            0.3949971505d, -0.5641463116d, 0, -0.1525424005d, 0.4860840828d, -0.8604958341d, 0, -0.5550976208d, -0.4957820792d,
+            0.667882296d, 0, -0.1883614327d, 0.9145869398d, 0.357841725d, 0, 0.7625556724d, -0.5414408243d, -0.3540489801d, 0,
+            -0.5870231946d, -0.3226498013d, -0.7424963803d, 0, 0.3051124198d, 0.2262544068d, -0.9250488391d, 0, 0.6379576059d, 0.577242424d,
+            -0.5097070502d, 0, -0.5966775796d, 0.1454852398d, -0.7891830656d, 0, -0.658330573d, 0.6555487542d, -0.3699414651d, 0,
+            0.7434892426d, 0.2351084581d, 0.6260573129d, 0, 0.5562114096d, 0.8264360377d, -0.0873632843d, 0, -0.3028940016d, -0.8251527185d,
+            0.4768419182d, 0, 0.1129343818d, -0.985888439d, -0.1235710781d, 0, 0.5937652891d, -0.5896813806d, 0.5474656618d, 0,
+            0.6757964092d, -0.5835758614d, -0.4502648413d, 0, 0.7242302609d, -0.1152719764d, 0.6798550586d, 0, -0.9511914166d,
+            0.0753623979d, -0.2992580792d, 0, 0.2539470961d, -0.1886339355d, 0.9486454084d, 0, 0.571433621d, -0.1679450851d, -0.8032795685d,
+            0, -0.06778234979d, 0.3978269256d, 0.9149531629d, 0, 0.6074972649d, 0.733060024d, -0.3058922593d, 0, -0.5435478392d,
+            0.1675822484d, 0.8224791405d, 0, -0.5876678086d, -0.3380045064d, -0.7351186982d, 0, -0.7967562402d, 0.04097822706d,
+            -0.6029098428d, 0, -0.1996350917d, 0.8706294745d, 0.4496111079d, 0, -0.02787660336d, -0.9106232682d, -0.4122962022d, 0,
+            -0.7797625996d, -0.6257634692d, 0.01975775581d, 0, -0.5211232846d, 0.7401644346d, -0.4249554471d, 0, 0.8575424857d,
+            0.4053272873d, -0.3167501783d, 0, 0.1045223322d, 0.8390195772d, -0.5339674439d, 0, 0.3501822831d, 0.9242524096d, -0.1520850155d,
+            0, 0.1987849858d, 0.07647613266d, 0.9770547224d, 0, 0.7845996363d, 0.6066256811d, -0.1280964233d, 0, 0.09006737436d,
+            -0.9750989929d, -0.2026569073d, 0, -0.8274343547d, -0.542299559d, 0.1458203587d, 0, -0.3485797732d, -0.415802277d, 0.840000362d,
+            0, -0.2471778936d, -0.7304819962d, -0.6366310879d, 0, -0.3700154943d, 0.8577948156d, 0.3567584454d, 0, 0.5913394901d,
+            -0.548311967d, -0.5913303597d, 0, 0.1204873514d, -0.7626472379d, -0.6354935001d, 0, 0.616959265d, 0.03079647928d, 0.7863922953d,
+            0, 0.1258156836d, -0.6640829889d, -0.7369967419d, 0, -0.6477565124d, -0.1740147258d, -0.7417077429d, 0, 0.6217889313d,
+            -0.7804430448d, -0.06547655076d, 0, 0.6589943422d, -0.6096987708d, 0.4404473475d, 0, -0.2689837504d, -0.6732403169d,
+            -0.6887635427d, 0, -0.3849775103d, 0.5676542638d, 0.7277093879d, 0, 0.5754444408d, 0.8110471154d, -0.1051963504d, 0,
+            0.9141593684d, 0.3832947817d, 0.131900567d, 0, -0.107925319d, 0.9245493968d, 0.3654593525d, 0, 0.377977089d, 0.3043148782d,
+            0.8743716458d, 0, -0.2142885215d, -0.8259286236d, 0.5214617324d, 0, 0.5802544474d, 0.4148098596d, -0.7008834116d, 0,
+            -0.1982660881d, 0.8567161266d, -0.4761596756d, 0, -0.03381553704d, 0.3773180787d, -0.9254661404d, 0, -0.6867922841d,
+            -0.6656597827d, 0.2919133642d, 0, 0.7731742607d, -0.2875793547d, -0.5652430251d, 0, -0.09655941928d, 0.9193708367d,
+            -0.3813575004d, 0, 0.2715702457d, -0.9577909544d, -0.09426605581d, 0, 0.2451015704d, -0.6917998565d, -0.6792188003d, 0,
+            0.977700782d, -0.1753855374d, 0.1155036542d, 0, -0.5224739938d, 0.8521606816d, 0.02903615945d, 0, -0.7734880599d,
+            -0.5261292347d, 0.3534179531d, 0, -0.7134492443d, -0.269547243d, 0.6467878011d, 0, 0.1644037271d, 0.5105846203d, -0.8439637196d,
+            0, 0.6494635788d, 0.05585611296d, 0.7583384168d, 0, -0.4711970882d, 0.5017280509d, -0.7254255765d, 0, -0.6335764307d,
+            -0.2381686273d, -0.7361091029d, 0, -0.9021533097d, -0.270947803d, -0.3357181763d, 0, -0.3793711033d, 0.872258117d,
+            0.3086152025d, 0, -0.6855598966d, -0.3250143309d, 0.6514394162d, 0, 0.2900942212d, -0.7799057743d, -0.5546100667d, 0,
+            -0.2098319339d, 0.85037073d, 0.4825351604d, 0, -0.4592603758d, 0.6598504336d, -0.5947077538d, 0, 0.8715945488d, 0.09616365406d,
+            -0.4807031248d, 0, -0.6776666319d, 0.7118504878d, -0.1844907016d, 0, 0.7044377633d, 0.312427597d, 0.637304036d, 0,
+            -0.7052318886d, -0.2401093292d, -0.6670798253d, 0, 0.081921007d, -0.7207336136d, -0.6883545647d, 0, -0.6993680906d,
+            -0.5875763221d, -0.4069869034d, 0, -0.1281454481d, 0.6419895885d, 0.7559286424d, 0, -0.6337388239d, -0.6785471501d,
+            -0.3714146849d, 0, 0.5565051903d, -0.2168887573d, -0.8020356851d, 0, -0.5791554484d, 0.7244372011d, -0.3738578718d, 0,
+            0.1175779076d, -0.7096451073d, 0.6946792478d, 0, -0.6134619607d, 0.1323631078d, 0.7785527795d, 0, 0.6984635305d,
+            -0.02980516237d, -0.715024719d, 0, 0.8318082963d, -0.3930171956d, 0.3919597455d, 0, 0.1469576422d, 0.05541651717d,
+            -0.9875892167d, 0, 0.708868575d, -0.2690503865d, 0.6520101478d, 0, 0.2726053183d, 0.67369766d, -0.68688995d, 0, -0.6591295371d,
+            0.3035458599d, -0.6880466294d, 0, 0.4815131379d, -0.7528270071d, 0.4487723203d, 0, 0.9430009463d, 0.1675647412d, -0.2875261255d,
+            0, 0.434802957d, 0.7695304522d, -0.4677277752d, 0, 0.3931996188d, 0.594473625d, 0.7014236729d, 0, 0.7254336655d, -0.603925654d,
+            0.3301814672d, 0, 0.7590235227d, -0.6506083235d, 0.02433313207d, 0, -0.8552768592d, -0.3430042733d, 0.3883935666d, 0,
+            -0.6139746835d, 0.6981725247d, 0.3682257648d, 0, -0.7465905486d, -0.5752009504d, 0.3342849376d, 0, 0.5730065677d, 0.810555537d,
+            -0.1210916791d, 0, -0.9225877367d, -0.3475211012d, -0.167514036d, 0, -0.7105816789d, -0.4719692027d, -0.5218416899d, 0,
+            -0.08564609717d, 0.3583001386d, 0.929669703d, 0, -0.8279697606d, -0.2043157126d, 0.5222271202d, 0, 0.427944023d, 0.278165994d,
+            0.8599346446d, 0, 0.5399079671d, -0.7857120652d, -0.3019204161d, 0, 0.5678404253d, -0.5495413974d, -0.6128307303d, 0,
+            -0.9896071041d, 0.1365639107d, -0.04503418428d, 0, -0.6154342638d, -0.6440875597d, 0.4543037336d, 0, 0.1074204368d,
+            -0.7946340692d, 0.5975094525d, 0, -0.3595449969d, -0.8885529948d, 0.28495784d, 0, -0.2180405296d, 0.1529888965d, 0.9638738118d,
+            0, -0.7277432317d, -0.6164050508d, -0.3007234646d, 0, 0.7249729114d, -0.00669719484d, 0.6887448187d, 0, -0.5553659455d,
+            -0.5336586252d, 0.6377908264d, 0, 0.5137558015d, 0.7976208196d, -0.3160000073d, 0, -0.3794024848d, 0.9245608561d,
+            -0.03522751494d, 0, 0.8229248658d, 0.2745365933d, -0.4974176556d, 0, -0.5404114394d, 0.6091141441d, 0.5804613989d, 0,
+            0.8036581901d, -0.2703029469d, 0.5301601931d, 0, 0.6044318879d, 0.6832968393d, 0.4095943388d, 0, 0.06389988817d, 0.9658208605d,
+            -0.2512108074d, 0, 0.1087113286d, 0.7402471173d, -0.6634877936d, 0, -0.713427712d, -0.6926784018d, 0.1059128479d, 0,
+            0.6458897819d, -0.5724548511d, -0.5050958653d, 0, -0.6553931414d, 0.7381471625d, 0.159995615d, 0, 0.3910961323d, 0.9188871375d,
+            -0.05186755998d, 0, -0.4879022471d, -0.5904376907d, 0.6429111375d, 0, 0.6014790094d, 0.7707441366d, -0.2101820095d, 0,
+            -0.5677173047d, 0.7511360995d, 0.3368851762d, 0, 0.7858573506d, 0.226674665d, 0.5753666838d, 0, -0.4520345543d, -0.604222686d,
+            -0.6561857263d, 0, 0.002272116345d, 0.4132844051d, -0.9105991643d, 0, -0.5815751419d, -0.5162925989d, 0.6286591339d, 0,
+            -0.03703704785d, 0.8273785755d, 0.5604221175d, 0, -0.5119692504d, 0.7953543429d, -0.3244980058d, 0, -0.2682417366d,
+            -0.9572290247d, -0.1084387619d, 0, -0.2322482736d, -0.9679131102d, -0.09594243324d, 0, 0.3554328906d, -0.8881505545d,
+            0.2913006227d, 0, 0.7346520519d, -0.4371373164d, 0.5188422971d, 0, 0.9985120116d, 0.04659011161d, -0.02833944577d, 0,
+            -0.3727687496d, -0.9082481361d, 0.1900757285d, 0, 0.91737377d, -0.3483642108d, 0.1925298489d, 0, 0.2714911074d, 0.4147529736d,
+            -0.8684886582d, 0, 0.5131763485d, -0.7116334161d, 0.4798207128d, 0, -0.8737353606d, 0.18886992d, -0.4482350644d, 0,
+            0.8460043821d, -0.3725217914d, 0.3814499973d, 0, 0.8978727456d, -0.1780209141d, -0.4026575304d, 0, 0.2178065647d,
+            -0.9698322841d, -0.1094789531d, 0, -0.1518031304d, -0.7788918132d, -0.6085091231d, 0, -0.2600384876d, -0.4755398075d,
+            -0.8403819825d, 0, 0.572313509d, -0.7474340931d, -0.3373418503d, 0, -0.7174141009d, 0.1699017182d, -0.6756111411d, 0,
+            -0.684180784d, 0.02145707593d, -0.7289967412d, 0, -0.2007447902d, 0.06555605789d, -0.9774476623d, 0, -0.1148803697d,
+            -0.8044887315d, 0.5827524187d, 0, -0.7870349638d, 0.03447489231d, 0.6159443543d, 0, -0.2015596421d, 0.6859872284d,
+            0.6991389226d, 0, -0.08581082512d, -0.10920836d, -0.9903080513d, 0, 0.5532693395d, 0.7325250401d, -0.396610771d, 0,
+            -0.1842489331d, -0.9777375055d, -0.1004076743d, 0, 0.0775473789d, -0.9111505856d, 0.4047110257d, 0, 0.1399838409d,
+            0.7601631212d, -0.6344734459d, 0, 0.4484419361d, -0.845289248d, 0.2904925424d, 0
+    };
+
+    private static final double[] RAND_VECS_2D = {
+            -0.2700222198d, -0.9628540911d, 0.3863092627d, -0.9223693152d, 0.04444859006d, -0.999011673d, -0.5992523158d, -0.8005602176d,
+            -0.7819280288d, 0.6233687174d, 0.9464672271d, 0.3227999196d, -0.6514146797d, -0.7587218957d, 0.9378472289d, 0.347048376d,
+            -0.8497875957d, -0.5271252623d, -0.879042592d, 0.4767432447d, -0.892300288d, -0.4514423508d, -0.379844434d, -0.9250503802d,
+            -0.9951650832d, 0.0982163789d, 0.7724397808d, -0.6350880136d, 0.7573283322d, -0.6530343002d, -0.9928004525d, -0.119780055d,
+            -0.0532665713d, 0.9985803285d, 0.9754253726d, -0.2203300762d, -0.7665018163d, 0.6422421394d, 0.991636706d, 0.1290606184d,
+            -0.994696838d, 0.1028503788d, -0.5379205513d, -0.84299554d, 0.5022815471d, -0.8647041387d, 0.4559821461d, -0.8899889226d,
+            -0.8659131224d, -0.5001944266d, 0.0879458407d, -0.9961252577d, -0.5051684983d, 0.8630207346d, 0.7753185226d, -0.6315704146d,
+            -0.6921944612d, 0.7217110418d, -0.5191659449d, -0.8546734591d, 0.8978622882d, -0.4402764035d, -0.1706774107d, 0.9853269617d,
+            -0.9353430106d, -0.3537420705d, -0.9992404798d, 0.03896746794d, -0.2882064021d, -0.9575683108d, -0.9663811329d, 0.2571137995d,
+            -0.8759714238d, -0.4823630009d, -0.8303123018d, -0.5572983775d, 0.05110133755d, -0.9986934731d, -0.8558373281d, -0.5172450752d,
+            0.09887025282d, 0.9951003332d, 0.9189016087d, 0.3944867976d, -0.2439375892d, -0.9697909324d, -0.8121409387d, -0.5834613061d,
+            -0.9910431363d, 0.1335421355d, 0.8492423985d, -0.5280031709d, -0.9717838994d, -0.2358729591d, 0.9949457207d, 0.1004142068d,
+            0.6241065508d, -0.7813392434d, 0.662910307d, 0.7486988212d, -0.7197418176d, 0.6942418282d, -0.8143370775d, -0.5803922158d,
+            0.104521054d, -0.9945226741d, -0.1065926113d, -0.9943027784d, 0.445799684d, -0.8951327509d, 0.105547406d, 0.9944142724d,
+            -0.992790267d, 0.1198644477d, -0.8334366408d, 0.552615025d, 0.9115561563d, -0.4111755999d, 0.8285544909d, -0.5599084351d,
+            0.7217097654d, -0.6921957921d, 0.4940492677d, -0.8694339084d, -0.3652321272d, -0.9309164803d, -0.9696606758d, 0.2444548501d,
+            0.08925509731d, -0.996008799d, 0.5354071276d, -0.8445941083d, -0.1053576186d, 0.9944343981d, -0.9890284586d, 0.1477251101d,
+            0.004856104961d, 0.9999882091d, 0.9885598478d, 0.1508291331d, 0.9286129562d, -0.3710498316d, -0.5832393863d, -0.8123003252d,
+            0.3015207509d, 0.9534596146d, -0.9575110528d, 0.2883965738d, 0.9715802154d, -0.2367105511d, 0.229981792d, 0.9731949318d,
+            0.955763816d, -0.2941352207d, 0.740956116d, 0.6715534485d, -0.9971513787d, -0.07542630764d, 0.6905710663d, -0.7232645452d,
+            -0.290713703d, -0.9568100872d, 0.5912777791d, -0.8064679708d, -0.9454592212d, -0.325740481d, 0.6664455681d, 0.74555369d,
+            0.6236134912d, 0.7817328275d, 0.9126993851d, -0.4086316587d, -0.8191762011d, 0.5735419353d, -0.8812745759d, -0.4726046147d,
+            0.9953313627d, 0.09651672651d, 0.9855650846d, -0.1692969699d, -0.8495980887d, 0.5274306472d, 0.6174853946d, -0.7865823463d,
+            0.8508156371d, 0.52546432d, 0.9985032451d, -0.05469249926d, 0.1971371563d, -0.9803759185d, 0.6607855748d, -0.7505747292d,
+            -0.03097494063d, 0.9995201614d, -0.6731660801d, 0.739491331d, -0.7195018362d, -0.6944905383d, 0.9727511689d, 0.2318515979d,
+            0.9997059088d, -0.0242506907d, 0.4421787429d, -0.8969269532d, 0.9981350961d, -0.061043673d, -0.9173660799d, -0.3980445648d,
+            -0.8150056635d, -0.5794529907d, -0.8789331304d, 0.4769450202d, 0.0158605829d, 0.999874213d, -0.8095464474d, 0.5870558317d,
+            -0.9165898907d, -0.3998286786d, -0.8023542565d, 0.5968480938d, -0.5176737917d, 0.8555780767d, -0.8154407307d, -0.5788405779d,
+            0.4022010347d, -0.9155513791d, -0.9052556868d, -0.4248672045d, 0.7317445619d, 0.6815789728d, -0.5647632201d, -0.8252529947d,
+            -0.8403276335d, -0.5420788397d, -0.9314281527d, 0.363925262d, 0.5238198472d, 0.8518290719d, 0.7432803869d, -0.6689800195d,
+            -0.985371561d, -0.1704197369d, 0.4601468731d, 0.88784281d, 0.825855404d, 0.5638819483d, 0.6182366099d, 0.7859920446d,
+            0.8331502863d, -0.553046653d, 0.1500307506d, 0.9886813308d, -0.662330369d, -0.7492119075d, -0.668598664d, 0.743623444d,
+            0.7025606278d, 0.7116238924d, -0.5419389763d, -0.8404178401d, -0.3388616456d, 0.9408362159d, 0.8331530315d, 0.5530425174d,
+            -0.2989720662d, -0.9542618632d, 0.2638522993d, 0.9645630949d, 0.124108739d, -0.9922686234d, -0.7282649308d, -0.6852956957d,
+            0.6962500149d, 0.7177993569d, -0.9183535368d, 0.3957610156d, -0.6326102274d, -0.7744703352d, -0.9331891859d, -0.359385508d,
+            -0.1153779357d, -0.9933216659d, 0.9514974788d, -0.3076565421d, -0.08987977445d, -0.9959526224d, 0.6678496916d, 0.7442961705d,
+            0.7952400393d, -0.6062947138d, -0.6462007402d, -0.7631674805d, -0.2733598753d, 0.9619118351d, 0.9669590226d, -0.254931851d,
+            -0.9792894595d, 0.2024651934d, -0.5369502995d, -0.8436138784d, -0.270036471d, -0.9628500944d, -0.6400277131d, 0.7683518247d,
+            -0.7854537493d, -0.6189203566d, 0.06005905383d, -0.9981948257d, -0.02455770378d, 0.9996984141d, -0.65983623d, 0.751409442d,
+            -0.6253894466d, -0.7803127835d, -0.6210408851d, -0.7837781695d, 0.8348888491d, 0.5504185768d, -0.1592275245d, 0.9872419133d,
+            0.8367622488d, 0.5475663786d, -0.8675753916d, -0.4973056806d, -0.2022662628d, -0.9793305667d, 0.9399189937d, 0.3413975472d,
+            0.9877404807d, -0.1561049093d, -0.9034455656d, 0.4287028224d, 0.1269804218d, -0.9919052235d, -0.3819600854d, 0.924178821d,
+            0.9754625894d, 0.2201652486d, -0.3204015856d, -0.9472818081d, -0.9874760884d, 0.1577687387d, 0.02535348474d, -0.9996785487d,
+            0.4835130794d, -0.8753371362d, -0.2850799925d, -0.9585037287d, -0.06805516006d, -0.99768156d, -0.7885244045d, -0.6150034663d,
+            0.3185392127d, -0.9479096845d, 0.8880043089d, 0.4598351306d, 0.6476921488d, -0.7619021462d, 0.9820241299d, 0.1887554194d,
+            0.9357275128d, -0.3527237187d, -0.8894895414d, 0.4569555293d, 0.7922791302d, 0.6101588153d, 0.7483818261d, 0.6632681526d,
+            -0.7288929755d, -0.6846276581d, 0.8729032783d, -0.4878932944d, 0.8288345784d, 0.5594937369d, 0.08074567077d, 0.9967347374d,
+            0.9799148216d, -0.1994165048d, -0.580730673d, -0.8140957471d, -0.4700049791d, -0.8826637636d, 0.2409492979d, 0.9705377045d,
+            0.9437816757d, -0.3305694308d, -0.8927998638d, -0.4504535528d, -0.8069622304d, 0.5906030467d, 0.06258973166d, 0.9980393407d,
+            -0.9312597469d, 0.3643559849d, 0.5777449785d, 0.8162173362d, -0.3360095855d, -0.941858566d, 0.697932075d, -0.7161639607d,
+            -0.002008157227d, -0.9999979837d, -0.1827294312d, -0.9831632392d, -0.6523911722d, 0.7578824173d, -0.4302626911d, -0.9027037258d,
+            -0.9985126289d, -0.05452091251d, -0.01028102172d, -0.9999471489d, -0.4946071129d, 0.8691166802d, -0.2999350194d, 0.9539596344d,
+            0.8165471961d, 0.5772786819d, 0.2697460475d, 0.962931498d, -0.7306287391d, -0.6827749597d, -0.7590952064d, -0.6509796216d,
+            -0.907053853d, 0.4210146171d, -0.5104861064d, -0.8598860013d, 0.8613350597d, 0.5080373165d, 0.5007881595d, -0.8655698812d,
+            -0.654158152d, 0.7563577938d, -0.8382755311d, -0.545246856d, 0.6940070834d, 0.7199681717d, 0.06950936031d, 0.9975812994d,
+            0.1702942185d, -0.9853932612d, 0.2695973274d, 0.9629731466d, 0.5519612192d, -0.8338697815d, 0.225657487d, -0.9742067022d,
+            0.4215262855d, -0.9068161835d, 0.4881873305d, -0.8727388672d, -0.3683854996d, -0.9296731273d, -0.9825390578d, 0.1860564427d,
+            0.81256471d, 0.5828709909d, 0.3196460933d, -0.9475370046d, 0.9570913859d, 0.2897862643d, -0.6876655497d, -0.7260276109d,
+            -0.9988770922d, -0.047376731d, -0.1250179027d, 0.992154486d, -0.8280133617d, 0.560708367d, 0.9324863769d, -0.3612051451d,
+            0.6394653183d, 0.7688199442d, -0.01623847064d, -0.9998681473d, -0.9955014666d, -0.09474613458d, -0.81453315d, 0.580117012d,
+            0.4037327978d, -0.9148769469d, 0.9944263371d, 0.1054336766d, -0.1624711654d, 0.9867132919d, -0.9949487814d, -0.100383875d,
+            -0.6995302564d, 0.7146029809d, 0.5263414922d, -0.85027327d, -0.5395221479d, 0.841971408d, 0.6579370318d, 0.7530729462d,
+            0.01426758847d, -0.9998982128d, -0.6734383991d, 0.7392433447d, 0.639412098d, -0.7688642071d, 0.9211571421d, 0.3891908523d,
+            -0.146637214d, -0.9891903394d, -0.782318098d, 0.6228791163d, -0.5039610839d, -0.8637263605d, -0.7743120191d, -0.6328039957d,
+    };
+
+
+    private DistanceFunction distanceFunction = DistanceFunction.EuclideanSq;
+    private ReturnType returnType = ReturnType.Distance;
+    private double jitterModifier = 1.0;
+
+    private NoiseSampler noiseLookup;
+
+    public CellularSampler(int seed) {
+        super(seed);
+        noiseLookup = new OpenSimplex2Sampler(seed);
+    }
+
+    public void setDistanceFunction(DistanceFunction distanceFunction) {
+        this.distanceFunction = distanceFunction;
+    }
+
+    public void setJitterModifier(double jitterModifier) {
+        this.jitterModifier = jitterModifier;
+    }
+
+    public void setNoiseLookup(NoiseSampler noiseLookup) {
+        this.noiseLookup = noiseLookup;
+    }
+
+    public void setReturnType(ReturnType returnType) {
+        this.returnType = returnType;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        int xr = fastRound(x);
+        int yr = fastRound(y);
+
+        double distance0 = Double.MAX_VALUE;
+        double distance1 = Double.MAX_VALUE;
+        double distance2 = Double.MAX_VALUE;
+
+        int closestHash = 0;
+
+        double cellularJitter = 0.43701595 * jitterModifier;
+
+        int xPrimed = (xr - 1) * PRIME_X;
+        int yPrimedBase = (yr - 1) * PRIME_Y;
+
+        Vector2 center = new Vector2(x, 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;
+                            center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
+                            center.setZ((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 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;
+                            center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
+                            center.setZ((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;
+                            center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
+                            center.setZ((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;
+        }
+
+        if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
+            distance0 = fastSqrt(distance0);
+            if(returnType != ReturnType.CellValue) {
+                distance1 = fastSqrt(distance1);
+            }
+        }
+
+        switch(returnType) {
+            case CellValue:
+                return closestHash * (1 / 2147483648.0);
+            case Distance:
+                return distance0 - 1;
+            case Distance2:
+                return distance1 - 1;
+            case Distance2Add:
+                return (distance1 + distance0) * 0.5 - 1;
+            case Distance2Sub:
+                return distance1 - distance0 - 1;
+            case Distance2Mul:
+                return distance1 * distance0 * 0.5 - 1;
+            case Distance2Div:
+                return distance0 / distance1 - 1;
+            case NoiseLookup:
+                return noiseLookup.getNoise(center.getX(), center.getZ());
+            case Distance3:
+                return distance2 - 1;
+            case Distance3Add:
+                return (distance2 + distance0) * 0.5 - 1;
+            case Distance3Sub:
+                return distance2 - distance0 - 1;
+            case Distance3Mul:
+                return distance2 * distance0 - 1;
+            case Distance3Div:
+                return distance0 / distance2 - 1;
+            default:
+                return 0;
+        }
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        int xr = fastRound(x);
+        int yr = fastRound(y);
+        int zr = fastRound(z);
+
+        double distance0 = Double.MAX_VALUE;
+        double distance1 = Double.MAX_VALUE;
+        double distance2 = Double.MAX_VALUE;
+        int closestHash = 0;
+
+        double cellularJitter = 0.39614353 * jitterModifier;
+
+        int xPrimed = (xr - 1) * PRIME_X;
+        int yPrimedBase = (yr - 1) * PRIME_Y;
+        int zPrimedBase = (zr - 1) * PRIME_Z;
+
+        Vector3 center = new Vector3(x, y, z);
+
+        switch(distanceFunction) {
+            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 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;
+                                center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
+                                center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
+                                center.setZ((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;
+
+                    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;
+                                center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
+                                center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
+                                center.setZ((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 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;
+                                center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
+                                center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
+                                center.setZ((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;
+            default:
+                break;
+        }
+
+        if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
+            distance0 = fastSqrt(distance0);
+            if(returnType != ReturnType.CellValue) {
+                distance1 = fastSqrt(distance1);
+            }
+        }
+
+        switch(returnType) {
+            case CellValue:
+                return closestHash * (1 / 2147483648.0);
+            case Distance:
+                return distance0 - 1;
+            case Distance2:
+                return distance1 - 1;
+            case Distance2Add:
+                return (distance1 + distance0) * 0.5 - 1;
+            case Distance2Sub:
+                return distance1 - distance0 - 1;
+            case Distance2Mul:
+                return distance1 * distance0 * 0.5 - 1;
+            case Distance2Div:
+                return distance0 / distance1 - 1;
+            case NoiseLookup:
+                return noiseLookup.getNoise(center.getX(), center.getY(), center.getZ());
+            case Distance3:
+                return distance2 - 1;
+            case Distance3Add:
+                return (distance2 + distance0) * 0.5 - 1;
+            case Distance3Sub:
+                return distance2 - distance0 - 1;
+            case Distance3Mul:
+                return distance2 * distance0 - 1;
+            case Distance3Div:
+                return distance0 / distance2 - 1;
+            default:
+                return 0;
+        }
+    }
+
+    public enum DistanceFunction {
+        Euclidean,
+        EuclideanSq,
+        Manhattan,
+        Hybrid
+    }
+
+
+    public enum ReturnType {
+        CellValue,
+        Distance,
+        Distance2,
+        Distance2Add,
+        Distance2Sub,
+        Distance2Mul,
+        Distance2Div,
+        NoiseLookup,
+        Distance3,
+        Distance3Add,
+        Distance3Sub,
+        Distance3Mul,
+        Distance3Div
+    }
+}
@@ -0,0 +1,23 @@
+package com.dfsek.terra.api.math.noise.samplers.noise;
+
+/**
+ * Sampler implementation that returns a constant.
+ */
+public class ConstantSampler extends NoiseFunction {
+    private final double constant;
+
+    public ConstantSampler(double constant) {
+        super(0);
+        this.constant = constant;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        return constant;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        return constant;
+    }
+}
@@ -0,0 +1,43 @@
+package com.dfsek.terra.api.math.noise.samplers.noise;
+
+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;
+
+/**
+ * NoiseSampler implementation using a Paralithic expression.
+ */
+public class ExpressionFunction extends NoiseFunction {
+    private final Expression expression;
+
+    public ExpressionFunction(Map<String, Function> functions, String eq, Map<String, Double> vars) throws ParseException {
+        super(0);
+        Parser p = new Parser();
+        Scope scope = new Scope();
+
+        scope.addInvocationVariable("x");
+        scope.addInvocationVariable("y");
+        scope.addInvocationVariable("z");
+
+        vars.forEach(scope::create);
+
+        functions.forEach(p::registerFunction);
+
+        expression = p.parse(eq, scope);
+        frequency = 1;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        return expression.evaluate(x, 0, y);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        return expression.evaluate(x, y, z);
+    }
+}
@@ -0,0 +1,111 @@
+package com.dfsek.terra.api.math.noise.samplers.noise;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import net.jafama.FastMath;
+
+@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;
+
+
+    protected double frequency = 0.02d;
+    protected int seed;
+
+    public NoiseFunction(int seed) {
+        this.seed = seed;
+    }
+
+    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;
+
+        hash *= 0x27d4eb2d;
+        return hash;
+    }
+
+    protected static int hash(int seed, int xPrimed, int yPrimed) {
+        int hash = seed ^ xPrimed ^ yPrimed;
+
+        hash *= 0x27d4eb2d;
+        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);
+    }
+
+    public void setSeed(int seed) {
+        this.seed = seed;
+    }
+
+    public double getFrequency() {
+        return frequency;
+    }
+
+    public void setFrequency(double frequency) {
+        this.frequency = frequency;
+    }
+
+    @Override
+    public double getNoise(double x, double y) {
+        return getNoiseSeeded(seed, x, y);
+    }
+
+    @Override
+    public double getNoise(double x, double y, double z) {
+        return getNoiseSeeded(seed, x, y, z);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y) {
+        return getNoiseRaw(seed, x * frequency, y * frequency);
+    }
+
+    @Override
+    public double getNoiseSeeded(int seed, double x, double y, double z) {
+        return getNoiseRaw(seed, x * frequency, y * frequency, z * frequency);
+    }
+
+    public abstract double getNoiseRaw(int seed, double x, double y);
+
+    public abstract double getNoiseRaw(int seed, double x, double y, double z);
+}
@@ -0,0 +1,46 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.fractal;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class BrownianMotionSampler extends FractalNoiseFunction {
+    public BrownianMotionSampler(int seed, NoiseSampler input) {
+        super(seed, input);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = input.getNoiseSeeded(seed++, x, y);
+            sum += noise * amp;
+            amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = input.getNoiseSeeded(seed++, x, y, z);
+            sum += noise * amp;
+            amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            z *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+}
@@ -0,0 +1,48 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.fractal;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import com.dfsek.terra.api.math.noise.samplers.noise.NoiseFunction;
+
+public abstract class FractalNoiseFunction extends NoiseFunction {
+    protected final NoiseSampler input;
+    protected double fractalBounding = 1 / 1.75;
+    protected int octaves = 3;
+    protected double gain = 0.5;
+    protected double lacunarity = 2.0d;
+    protected double weightedStrength = 0.0d;
+
+    public FractalNoiseFunction(int seed, NoiseSampler input) {
+        super(seed);
+        this.input = input;
+        frequency = 1;
+    }
+
+    public void setWeightedStrength(double weightedStrength) {
+        this.weightedStrength = weightedStrength;
+    }
+
+    protected void calculateFractalBounding() {
+        double gain = fastAbs(this.gain);
+        double amp = gain;
+        double ampFractal = 1.0;
+        for(int i = 1; i < octaves; i++) {
+            ampFractal += amp;
+            amp *= gain;
+        }
+        fractalBounding = 1 / ampFractal;
+    }
+
+    public void setOctaves(int octaves) {
+        this.octaves = octaves;
+        calculateFractalBounding();
+    }
+
+    public void setGain(double gain) {
+        this.gain = gain;
+        calculateFractalBounding();
+    }
+
+    public void setLacunarity(double lacunarity) {
+        this.lacunarity = lacunarity;
+    }
+}
@@ -0,0 +1,58 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.fractal;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class PingPongSampler extends FractalNoiseFunction {
+    private double pingPongStrength = 2.0;
+
+    public PingPongSampler(int seed, NoiseSampler input) {
+        super(seed, input);
+    }
+
+
+    private static double pingPong(double t) {
+        t -= (int) (t * 0.5f) << 1;
+        return t < 1 ? t : 2 - t;
+    }
+
+    public void setPingPongStrength(double strength) {
+        this.pingPongStrength = strength;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = pingPong((input.getNoiseSeeded(seed++, x, y) + 1) * pingPongStrength);
+            sum += (noise - 0.5) * 2 * amp;
+            amp *= lerp(1.0, noise, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = pingPong((input.getNoiseSeeded(seed++, x, y, z) + 1) * pingPongStrength);
+            sum += (noise - 0.5) * 2 * amp;
+            amp *= lerp(1.0, noise, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            z *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+}
@@ -0,0 +1,47 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.fractal;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class RidgedFractalSampler extends FractalNoiseFunction {
+
+    public RidgedFractalSampler(int seed, NoiseSampler input) {
+        super(seed, input);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = fastAbs(input.getNoiseSeeded(seed++, x, y));
+            sum += (noise * -2 + 1) * amp;
+            amp *= lerp(1.0, 1 - noise, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        double sum = 0;
+        double amp = fractalBounding;
+
+        for(int i = 0; i < octaves; i++) {
+            double noise = fastAbs(input.getNoiseSeeded(seed++, x, y, z));
+            sum += (noise * -2 + 1) * amp;
+            amp *= lerp(1.0, 1 - noise, weightedStrength);
+
+            x *= lacunarity;
+            y *= lacunarity;
+            z *= lacunarity;
+            amp *= gain;
+        }
+
+        return sum;
+    }
+}
@@ -0,0 +1,39 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.random;
+
+import com.dfsek.terra.api.math.noise.samplers.noise.NoiseFunction;
+
+/**
+ * NoiseSampler implementation to provide random, normally distributed (Gaussian) noise.
+ */
+public class GaussianNoiseSampler extends NoiseFunction {
+    private final WhiteNoiseSampler whiteNoiseSampler; // Back with a white noise sampler.
+
+    public GaussianNoiseSampler(int seed) {
+        super(seed);
+        whiteNoiseSampler = new WhiteNoiseSampler(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        double v1, v2, s;
+        do {
+            v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
+            v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
+            s = v1 * v1 + v2 * v2;
+        } while(s >= 1 || s == 0);
+        double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);
+        return v1 * multiplier;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        double v1, v2, s;
+        do {
+            v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
+            v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
+            s = v1 * v1 + v2 * v2;
+        } while(s >= 1 || s == 0);
+        double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);
+        return v1 * multiplier;
+    }
+}
@@ -0,0 +1,49 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.random;
+
+import com.dfsek.terra.api.math.noise.samplers.noise.NoiseFunction;
+
+/**
+ * NoiseSampler implementation to produce random, uniformly distributed (white) noise.
+ */
+public class WhiteNoiseSampler extends NoiseFunction {
+    private static final long POSITIVE_POW1 = 0b01111111111L << 52; // Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
+
+    public WhiteNoiseSampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int 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;
+        long base = (murmur64(hash) & 0x000fffffffffffffL)
+                | POSITIVE_POW1; // Sign and exponent
+        return (Double.longBitsToDouble(base) - 1.5) * 2;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        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);
+        long base = ((murmur64(hash)) & 0x000fffffffffffffL)
+                | POSITIVE_POW1; // Sign and exponent
+        return (Double.longBitsToDouble(base) - 1.5) * 2;
+    }
+
+    /**
+     * Murmur64 hashing function
+     *
+     * @param h Input value
+     * @return Hashed value
+     */
+    private static long murmur64(long h) {
+        h ^= h >>> 33;
+        h *= 0xff51afd7ed558ccdL;
+        h ^= h >>> 33;
+        h *= 0xc4ceb9fe1a85ec53L;
+        h ^= h >>> 33;
+        return h;
+    }
+}
@@ -0,0 +1,266 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.simplex;
+
+/**
+ * NoiseSampler implementation to provide OpenSimplex2 (Smooth Variant) noise.
+ */
+public class OpenSimplex2SSampler extends SimplexStyleSampler {
+    public OpenSimplex2SSampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    @SuppressWarnings("NumericOverflow")
+    public double getNoiseRaw(int seed, double x, double y) {
+        // 2D OpenSimplex2S case is a modified 2D simplex noise.
+
+        final double SQRT3 = 1.7320508075688772935274463415059;
+        final double G2 = (3 - SQRT3) / 6;
+
+        final double F2 = 0.5f * (SQRT3 - 1);
+        double s = (x + y) * F2;
+        x += s;
+        y += s;
+
+
+        int i = fastFloor(x);
+        int j = fastFloor(y);
+        double xi = x - i;
+        double yi = y - j;
+
+        i *= PRIME_X;
+        j *= PRIME_Y;
+        int i1 = i + PRIME_X;
+        int j1 = j + PRIME_Y;
+
+        double t = (xi + yi) * G2;
+        double x0 = xi - t;
+        double y0 = yi - t;
+
+        double a0 = (2.0 / 3.0) - x0 * x0 - y0 * y0;
+        double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i, j, x0, y0);
+
+        double a1 = 2 * (1 - 2 * G2) * (1 / G2 - 2) * t + ((-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a0);
+        double x1 = x0 - (1 - 2 * G2);
+        double y1 = y0 - (1 - 2 * G2);
+        value += (a1 * a1) * (a1 * a1) * gradCoord(seed, i1, j1, x1, y1);
+
+        // Nested conditionals were faster than compact bit logic/arithmetic.
+        double xmyi = xi - yi;
+        if(t > G2) {
+            if(xi + xmyi > 1) {
+                double x2 = x0 + (3 * G2 - 2);
+                double y2 = y0 + (3 * G2 - 1);
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + (PRIME_X << 1), j + PRIME_Y, x2, y2);
+                }
+            } else {
+                double x2 = x0 + G2;
+                double y2 = y0 + (G2 - 1);
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
+                }
+            }
+
+            if(yi - xmyi > 1) {
+                double x3 = x0 + (3 * G2 - 1);
+                double y3 = y0 + (3 * G2 - 2);
+                double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
+                if(a3 > 0) {
+                    value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j + (PRIME_Y << 1), x3, y3);
+                }
+            } else {
+                double x3 = x0 + (G2 - 1);
+                double y3 = y0 + G2;
+                double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
+                if(a3 > 0) {
+                    value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j, x3, y3);
+                }
+            }
+        } else {
+            if(xi + xmyi < 0) {
+                double x2 = x0 + (1 - G2);
+                double y2 = y0 - G2;
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i - PRIME_X, j, x2, y2);
+                }
+            } else {
+                double x2 = x0 + (G2 - 1);
+                double y2 = y0 + G2;
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + PRIME_X, j, x2, y2);
+                }
+            }
+
+            if(yi < xmyi) {
+                double x2 = x0 - G2;
+                double y2 = y0 - (G2 - 1);
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j - PRIME_Y, x2, y2);
+                }
+            } else {
+                double x2 = x0 + G2;
+                double y2 = y0 + (G2 - 1);
+                double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
+                if(a2 > 0) {
+                    value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
+                }
+            }
+        }
+
+        return value * 18.24196194486065;
+    }
+
+    @Override
+    @SuppressWarnings("NumericOverflow")
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        // 3D OpenSimplex2S case uses two offset rotated cube grids.
+        final double R3 = (2.0 / 3.0);
+        double r = (x + y + z) * R3; // Rotation, not skew
+        x = r - x;
+        y = r - y;
+        z = r - z;
+
+
+        int i = fastFloor(x);
+        int j = fastFloor(y);
+        int k = fastFloor(z);
+        double xi = x - i;
+        double yi = y - j;
+        double zi = z - k;
+
+        i *= PRIME_X;
+        j *= PRIME_Y;
+        k *= PRIME_Z;
+        int seed2 = seed + 1293373;
+
+        int xNMask = (int) (-0.5 - xi);
+        int yNMask = (int) (-0.5 - yi);
+        int zNMask = (int) (-0.5 - zi);
+
+        double x0 = xi + xNMask;
+        double y0 = yi + yNMask;
+        double z0 = zi + zNMask;
+        double a0 = 0.75 - x0 * x0 - y0 * y0 - z0 * z0;
+        double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y0,
+                z0);
+
+        double x1 = xi - 0.5;
+        double y1 = yi - 0.5;
+        double z1 = zi - 0.5;
+        double a1 = 0.75 - x1 * x1 - y1 * y1 - z1 * z1;
+        value += (a1 * a1) * (a1 * a1) * gradCoord(seed2, i + PRIME_X, j + PRIME_Y, k + PRIME_Z, x1, y1, z1);
+
+        double xAFlipMask0 = ((xNMask | 1) << 1) * x1;
+        double yAFlipMask0 = ((yNMask | 1) << 1) * y1;
+        double zAFlipMask0 = ((zNMask | 1) << 1) * z1;
+        double xAFlipMask1 = (-2 - (xNMask << 2)) * x1 - 1.0;
+        double yAFlipMask1 = (-2 - (yNMask << 2)) * y1 - 1.0;
+        double zAFlipMask1 = (-2 - (zNMask << 2)) * z1 - 1.0;
+
+        boolean skip5 = false;
+        double a2 = xAFlipMask0 + a0;
+        if(a2 > 0) {
+            double x2 = x0 - (xNMask | 1);
+            value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x2, y0,
+                    z0);
+        } else {
+            double a3 = yAFlipMask0 + zAFlipMask0 + a0;
+            if(a3 > 0) {
+                double y3 = y0 - (yNMask | 1);
+                double z3 = z0 - (zNMask | 1);
+                value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x0,
+                        y3, z3);
+            }
+
+            double a4 = xAFlipMask1 + a1;
+            if(a4 > 0) {
+                double x4 = (xNMask | 1) + x1;
+                value += (a4 * a4) * (a4 * a4) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + PRIME_Y, k + PRIME_Z, x4, y1, z1);
+                skip5 = true;
+            }
+        }
+
+        boolean skip9 = false;
+        double a6 = yAFlipMask0 + a0;
+        if(a6 > 0) {
+            double y6 = y0 - (yNMask | 1);
+            value += (a6 * a6) * (a6 * a6) * gradCoord(seed, i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y6,
+                    z0);
+        } else {
+            double a7 = xAFlipMask0 + zAFlipMask0 + a0;
+            if(a7 > 0) {
+                double x7 = x0 - (xNMask | 1);
+                double z7 = z0 - (zNMask | 1);
+                value += (a7 * a7) * (a7 * a7) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x7,
+                        y0, z7);
+            }
+
+            double a8 = yAFlipMask1 + a1;
+            if(a8 > 0) {
+                double y8 = (yNMask | 1) + y1;
+                value += (a8 * a8) * (a8 * a8) * gradCoord(seed2, i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z, x1, y8, z1);
+                skip9 = true;
+            }
+        }
+
+        boolean skipD = false;
+        double aA = zAFlipMask0 + a0;
+        if(aA > 0) {
+            double zA = z0 - (zNMask | 1);
+            value += (aA * aA) * (aA * aA) * gradCoord(seed, i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x0, y0,
+                    zA);
+        } else {
+            double aB = xAFlipMask0 + yAFlipMask0 + a0;
+            if(aB > 0) {
+                double xB = x0 - (xNMask | 1);
+                double yB = y0 - (yNMask | 1);
+                value += (aB * aB) * (aB * aB) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), xB,
+                        yB, z0);
+            }
+
+            double aC = zAFlipMask1 + a1;
+            if(aC > 0) {
+                double zC = (zNMask | 1) + z1;
+                value += (aC * aC) * (aC * aC) * gradCoord(seed2, i + PRIME_X, j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), x1, y1, zC);
+                skipD = true;
+            }
+        }
+
+        if(!skip5) {
+            double a5 = yAFlipMask1 + zAFlipMask1 + a1;
+            if(a5 > 0) {
+                double y5 = (yNMask | 1) + y1;
+                double z5 = (zNMask | 1) + z1;
+                value += (a5 * a5) * (a5 * a5) * gradCoord(seed2, i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + (zNMask & (PRIME_Z << 1)),
+                        x1, y5, z5);
+            }
+        }
+
+        if(!skip9) {
+            double a9 = xAFlipMask1 + zAFlipMask1 + a1;
+            if(a9 > 0) {
+                double x9 = (xNMask | 1) + x1;
+                double z9 = (zNMask | 1) + z1;
+                value += (a9 * a9) * (a9 * a9) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), x9,
+                        y1, z9);
+            }
+        }
+
+        if(!skipD) {
+            double aD = xAFlipMask1 + yAFlipMask1 + a1;
+            if(aD > 0) {
+                double xD = (xNMask | 1) + x1;
+                double yD = (yNMask | 1) + y1;
+                value += (aD * aD) * (aD * aD) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z,
+                        xD, yD, z1);
+            }
+        }
+
+        return value * 9.046026385208288;
+    }
+}
@@ -0,0 +1,155 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.simplex;
+
+/**
+ * NoiseSampler implementation to provide OpenSimplex2 noise.
+ */
+public class OpenSimplex2Sampler extends SimplexStyleSampler {
+    private static final double SQRT3 = 1.7320508075688772935274463415059;
+
+    public OpenSimplex2Sampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        // 2D OpenSimplex2 case uses the same algorithm as ordinary Simplex.
+        final double G2 = (3 - SQRT3) / 6;
+
+        final double F2 = 0.5f * (SQRT3 - 1);
+        double s = (x + y) * F2;
+        x += s;
+        y += s;
+
+
+        int i = fastFloor(x);
+        int j = fastFloor(y);
+        double xi = x - i;
+        double yi = y - j;
+
+        double t = (xi + yi) * G2;
+        double x0 = xi - t;
+        double y0 = yi - t;
+
+        i *= PRIME_X;
+        j *= PRIME_Y;
+
+        double n0, n1, n2;
+
+        double a = 0.5 - x0 * x0 - y0 * y0;
+        if(a <= 0) n0 = 0;
+        else {
+            n0 = (a * a) * (a * a) * gradCoord(seed, i, j, x0, y0);
+        }
+
+        double c = 2 * (1 - 2 * G2) * (1 / G2 - 2) * t + ((-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a);
+        if(c <= 0) n2 = 0;
+        else {
+            double x2 = x0 + (2 * G2 - 1);
+            double y2 = y0 + (2 * G2 - 1);
+            n2 = (c * c) * (c * c) * gradCoord(seed, i + PRIME_X, j + PRIME_Y, x2, y2);
+        }
+
+        if(y0 > x0) {
+            double x1 = x0 + G2;
+            double y1 = y0 + (G2 - 1);
+            double b = 0.5 - x1 * x1 - y1 * y1;
+            if(b <= 0) n1 = 0;
+            else {
+                n1 = (b * b) * (b * b) * gradCoord(seed, i, j + PRIME_Y, x1, y1);
+            }
+        } else {
+            double x1 = x0 + (G2 - 1);
+            double y1 = y0 + G2;
+            double b = 0.5 - x1 * x1 - y1 * y1;
+            if(b <= 0) n1 = 0;
+            else {
+                n1 = (b * b) * (b * b) * gradCoord(seed, i + PRIME_X, j, x1, y1);
+            }
+        }
+
+        return (n0 + n1 + n2) * 99.83685446303647f;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        // 3D OpenSimplex2Sampler case uses two offset rotated cube grids.
+        final double R3 = (2.0 / 3.0);
+        double r = (x + y + z) * R3; // Rotation, not skew
+        x = r - x;
+        y = r - y;
+        z = r - z;
+
+
+        int i = fastRound(x);
+        int j = fastRound(y);
+        int k = fastRound(z);
+        double x0 = x - i;
+        double y0 = y - j;
+        double z0 = z - k;
+
+        int xNSign = (int) (-1.0 - x0) | 1;
+        int yNSign = (int) (-1.0 - y0) | 1;
+        int zNSign = (int) (-1.0 - z0) | 1;
+
+        double ax0 = xNSign * -x0;
+        double ay0 = yNSign * -y0;
+        double az0 = zNSign * -z0;
+
+        i *= PRIME_X;
+        j *= PRIME_Y;
+        k *= PRIME_Z;
+
+        double value = 0;
+        double a = (0.6f - x0 * x0) - (y0 * y0 + z0 * z0);
+
+        for(int l = 0; ; l++) {
+            if(a > 0) {
+                value += (a * a) * (a * a) * gradCoord(seed, i, j, k, x0, y0, z0);
+            }
+
+            if(ax0 >= ay0 && ax0 >= az0) {
+                double b = a + ax0 + ax0;
+                if(b > 1) {
+                    b -= 1;
+                    value += (b * b) * (b * b) * gradCoord(seed, i - xNSign * PRIME_X, j, k, x0 + xNSign, y0, z0);
+                }
+            } else if(ay0 > ax0 && ay0 >= az0) {
+                double b = a + ay0 + ay0;
+                if(b > 1) {
+                    b -= 1;
+                    value += (b * b) * (b * b) * gradCoord(seed, i, j - yNSign * PRIME_Y, k, x0, y0 + yNSign, z0);
+                }
+            } else {
+                double b = a + az0 + az0;
+                if(b > 1) {
+                    b -= 1;
+                    value += (b * b) * (b * b) * gradCoord(seed, i, j, k - zNSign * PRIME_Z, x0, y0, z0 + zNSign);
+                }
+            }
+
+            if(l == 1) break;
+
+            ax0 = 0.5 - ax0;
+            ay0 = 0.5 - ay0;
+            az0 = 0.5 - az0;
+
+            x0 = xNSign * ax0;
+            y0 = yNSign * ay0;
+            z0 = zNSign * az0;
+
+            a += (0.75 - ax0) - (ay0 + az0);
+
+            i += (xNSign >> 1) & PRIME_X;
+            j += (yNSign >> 1) & PRIME_Y;
+            k += (zNSign >> 1) & PRIME_Z;
+
+            xNSign = -xNSign;
+            yNSign = -yNSign;
+            zNSign = -zNSign;
+
+            seed = ~seed;
+        }
+
+        return value * 32.69428253173828125;
+    }
+}
@@ -0,0 +1,69 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.simplex;
+
+/**
+ * NoiseSampler implementation to provide Perlin Noise.
+ */
+public class PerlinSampler extends SimplexStyleSampler {
+    public PerlinSampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        int x0 = fastFloor(x);
+        int y0 = fastFloor(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);
+
+        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);
+
+        return lerp(xf0, xf1, ys) * 1.4247691104677813;
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        int x0 = fastFloor(x);
+        int y0 = fastFloor(y);
+        int z0 = fastFloor(z);
+
+        double xd0 = x - x0;
+        double yd0 = y - y0;
+        double zd0 = z - z0;
+        double xd1 = xd0 - 1;
+        double yd1 = yd0 - 1;
+        double zd1 = zd0 - 1;
+
+        double xs = interpQuintic(xd0);
+        double ys = interpQuintic(yd0);
+        double zs = interpQuintic(zd0);
+
+        x0 *= PRIME_X;
+        y0 *= PRIME_Y;
+        z0 *= PRIME_Z;
+        int x1 = x0 + PRIME_X;
+        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 yf0 = lerp(xf00, xf10, ys);
+        double yf1 = lerp(xf01, xf11, ys);
+
+        return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
+    }
+}
@@ -0,0 +1,100 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.simplex;
+
+import com.dfsek.terra.api.math.noise.samplers.noise.NoiseFunction;
+
+/**
+ * Abstract NoiseSampler implementation for simplex-style noise functions.
+ */
+public abstract class SimplexStyleSampler extends NoiseFunction {
+    protected static final double[] GRADIENTS_2_D = {
+            0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
+            0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
+            0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
+            0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
+            -0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
+            -0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
+            -0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
+            -0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
+            0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
+            0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
+            0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
+            0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
+            -0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
+            -0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
+            -0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
+            -0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
+            0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
+            0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
+            0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
+            0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
+            -0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
+            -0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
+            -0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
+            -0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
+            0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
+            0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
+            0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
+            0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
+            -0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
+            -0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
+            -0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
+            -0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
+            0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
+            0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
+            0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
+            0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
+            -0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
+            -0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
+            -0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
+            -0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
+            0.38268343236509d, 0.923879532511287d, 0.923879532511287d, 0.38268343236509d, 0.923879532511287d, -0.38268343236509d,
+            0.38268343236509d, -0.923879532511287d, -0.38268343236509d, -0.923879532511287d, -0.923879532511287d, -0.38268343236509d,
+            -0.923879532511287d, 0.38268343236509d, -0.38268343236509d, 0.923879532511287d,
+    };
+
+    protected static final double[] GRADIENTS_3D = {
+            0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
+            1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
+            1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
+            0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
+            1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
+            1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
+            0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
+            1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
+            1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
+            0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
+            1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
+            1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
+            0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
+            1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
+            1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
+            1, 1, 0, 0, 0, -1, 1, 0, -1, 1, 0, 0, 0, -1, -1, 0
+    };
+
+    public SimplexStyleSampler(int seed) {
+        super(seed);
+    }
+
+    protected static double gradCoord(int seed, int xPrimed, int yPrimed, double xd, double yd) {
+        int hash = hash(seed, xPrimed, yPrimed);
+        hash ^= hash >> 15;
+        hash &= 127 << 1;
+
+        double xg = GRADIENTS_2_D[hash];
+        double yg = GRADIENTS_2_D[hash | 1];
+
+        return xd * xg + yd * yg;
+    }
+
+    protected static double gradCoord(int seed, int xPrimed, int yPrimed, int zPrimed, double xd, double yd, double zd) {
+        int hash = hash(seed, xPrimed, yPrimed, zPrimed);
+        hash ^= hash >> 15;
+        hash &= 63 << 2;
+
+        double xg = GRADIENTS_3D[hash];
+        double yg = GRADIENTS_3D[hash | 1];
+        double zg = GRADIENTS_3D[hash | 2];
+
+        return xd * xg + yd * yg + zd * zg;
+    }
+}
@@ -0,0 +1,104 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.value;
+
+public class ValueCubicSampler extends ValueStyleNoise {
+    public ValueCubicSampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        int x1 = fastFloor(x);
+        int y1 = fastFloor(y);
+
+        double xs = x - x1;
+        double ys = y - y1;
+
+        x1 *= PRIME_X;
+        y1 *= PRIME_Y;
+        int x0 = x1 - PRIME_X;
+        int y0 = y1 - PRIME_Y;
+        int x2 = x1 + PRIME_X;
+        int y2 = y1 + PRIME_Y;
+        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),
+                        xs),
+                cubicLerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), valCoord(seed, x2, y1), valCoord(seed, x3, y1),
+                        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),
+                        xs),
+                ys) * (1 / (1.5 * 1.5));
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        int x1 = fastFloor(x);
+        int y1 = fastFloor(y);
+        int z1 = fastFloor(z);
+
+        double xs = x - x1;
+        double ys = y - y1;
+        double zs = z - z1;
+
+        x1 *= PRIME_X;
+        y1 *= PRIME_Y;
+        z1 *= PRIME_Z;
+
+        int x0 = x1 - PRIME_X;
+        int y0 = y1 - PRIME_Y;
+        int z0 = z1 - PRIME_Z;
+        int x2 = x1 + PRIME_X;
+        int y2 = y1 + PRIME_Y;
+        int z2 = z1 + PRIME_Z;
+        int x3 = x1 + (PRIME_X << 1);
+        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),
+                                valCoord(seed, x3, y0, z0), xs),
+                        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),
+                                valCoord(seed, x3, y2, z0), xs),
+                        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),
+                                valCoord(seed, x3, y0, z1), xs),
+                        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),
+                                valCoord(seed, x3, y2, z1), xs),
+                        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),
+                                valCoord(seed, x3, y0, z2), xs),
+                        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),
+                                valCoord(seed, x3, y2, z2), xs),
+                        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),
+                                valCoord(seed, x3, y0, z3), xs),
+                        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),
+                                valCoord(seed, x3, y2, z3), xs),
+                        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));
+    }
+}
@@ -0,0 +1,54 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.value;
+
+public class ValueSampler extends ValueStyleNoise {
+    public ValueSampler(int seed) {
+        super(seed);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y) {
+        int x0 = fastFloor(x);
+        int y0 = fastFloor(y);
+
+        double xs = interpHermite(x - x0);
+        double ys = 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);
+
+        return lerp(xf0, xf1, ys);
+    }
+
+    @Override
+    public double getNoiseRaw(int seed, double x, double y, double z) {
+        int x0 = fastFloor(x);
+        int y0 = fastFloor(y);
+        int z0 = fastFloor(z);
+
+        double xs = interpHermite(x - x0);
+        double ys = interpHermite(y - y0);
+        double zs = interpHermite(z - z0);
+
+        x0 *= PRIME_X;
+        y0 *= PRIME_Y;
+        z0 *= PRIME_Z;
+        int x1 = x0 + PRIME_X;
+        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 yf0 = lerp(xf00, xf10, ys);
+        double yf1 = lerp(xf01, xf11, ys);
+
+        return lerp(yf0, yf1, zs);
+    }
+}
@@ -0,0 +1,25 @@
+package com.dfsek.terra.api.math.noise.samplers.noise.value;
+
+import com.dfsek.terra.api.math.noise.samplers.noise.NoiseFunction;
+
+public abstract class ValueStyleNoise extends NoiseFunction {
+    public ValueStyleNoise(int seed) {
+        super(seed);
+    }
+
+    protected static double valCoord(int seed, int xPrimed, int yPrimed) {
+        int hash = hash(seed, xPrimed, yPrimed);
+
+        hash *= hash;
+        hash ^= hash << 19;
+        return hash * (1 / 2147483648.0);
+    }
+
+    protected static double valCoord(int seed, int xPrimed, int yPrimed, int zPrimed) {
+        int hash = hash(seed, xPrimed, yPrimed, zPrimed);
+
+        hash *= hash;
+        hash ^= hash << 19;
+        return hash * (1 / 2147483648.0);
+    }
+}
@@ -0,0 +1,27 @@
+package com.dfsek.terra.api.math.paralithic;
+
+
+import com.dfsek.paralithic.functions.dynamic.DynamicFunction;
+
+public class BlankFunction implements DynamicFunction {
+    private final int args;
+
+    public BlankFunction(int args) {
+        this.args = args;
+    }
+
+    @Override
+    public int getArgNumber() {
+        return args;
+    }
+
+    @Override
+    public double eval(double... d) {
+        return 0;
+    }
+
+    @Override
+    public boolean isStateless() {
+        return true;
+    }
+}
@@ -0,0 +1,44 @@
+package com.dfsek.terra.api.math.paralithic.defined;
+
+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.dynamic.DynamicFunction;
+import com.dfsek.terra.config.loaders.config.function.FunctionTemplate;
+
+
+public class UserDefinedFunction implements DynamicFunction {
+    private final Expression expression;
+    private final int args;
+
+    protected UserDefinedFunction(Expression expression, int args) {
+        this.expression = expression;
+        this.args = args;
+    }
+
+
+    @Override
+    public double eval(double... args) {
+        return expression.evaluate(args);
+    }
+
+    @Override
+    public boolean isStateless() {
+        return true;
+    }
+
+    @Override
+    public int getArgNumber() {
+        return args;
+    }
+
+    public static UserDefinedFunction newInstance(FunctionTemplate template, Parser parser, Scope parent) throws ParseException {
+
+        Scope functionScope = new Scope().withParent(parent);
+
+        template.getArgs().forEach(functionScope::addInvocationVariable);
+
+        return new UserDefinedFunction(parser.parse(template.getFunction(), functionScope), template.getArgs().size());
+    }
+}
@@ -0,0 +1,7 @@
+package com.dfsek.terra.api.math.paralithic.noise;
+
+
+import com.dfsek.paralithic.functions.dynamic.DynamicFunction;
+
+public interface NoiseFunction extends DynamicFunction {
+}
@@ -0,0 +1,55 @@
+package com.dfsek.terra.api.math.paralithic.noise;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import com.dfsek.terra.util.hash.HashMapDoubleDouble;
+
+
+
+public class NoiseFunction2 implements NoiseFunction {
+    private final NoiseSampler gen;
+    private final Cache cache = new Cache();
+
+    public NoiseFunction2(NoiseSampler gen) {
+        this.gen = gen;
+    }
+
+    @Override
+    public int getArgNumber() {
+        return 2;
+    }
+
+    @Override
+    public double eval(double... args) {
+        return cache.get(gen, args[0], args[1]);
+    }
+
+    @Override
+    public boolean isStateless() {
+        return true;
+    }
+
+    private static class Cache extends HashMapDoubleDouble {
+        private static final long serialVersionUID = 8915092734723467010L;
+        private static final int cacheSize = 384;
+
+        public Cache() {
+            super(cacheSize);
+        }
+
+        public double get(NoiseSampler noise, double x, double z) {
+            double xx = x >= 0 ? x * 2 : x * -2 - 1;
+            double zz = z >= 0 ? z * 2 : z * -2 - 1;
+            double key = (xx >= zz) ? (xx * xx + xx + zz) : (zz * zz + xx);
+            double value = this.get(key);
+            if(this.size() > cacheSize) {
+                this.clear();
+            }
+            return (value == 4.9E-324D ? addAndReturn(noise.getNoise(x, z), key) : value);
+        }
+
+        private synchronized double addAndReturn(double value, double key) {
+            this.put(key, value);
+            return value;
+        }
+    }
+}
@@ -0,0 +1,26 @@
+package com.dfsek.terra.api.math.paralithic.noise;
+
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+
+public class NoiseFunction3 implements NoiseFunction {
+    private final NoiseSampler gen;
+
+    public NoiseFunction3(NoiseSampler gen) {
+        this.gen = gen;
+    }
+
+    @Override
+    public int getArgNumber() {
+        return 3;
+    }
+
+    @Override
+    public double eval(double... args) {
+        return gen.getNoise(args[0], args[1], args[2]);
+    }
+
+    @Override
+    public boolean isStateless() {
+        return true;
+    }
+}
@@ -1,4 +1,4 @@
-package com.dfsek.terra.procgen.pixel;
+package com.dfsek.terra.api.math.pixel;

 public class Distribution {
    public Distribution(Rectangle bound, int numPoints, double minRad) {
@@ -1,6 +1,6 @@
-package com.dfsek.terra.procgen.pixel;
+package com.dfsek.terra.api.math.pixel;

-import com.dfsek.terra.procgen.math.Vector2;
+import com.dfsek.terra.api.math.vector.Vector2;

 import java.util.Set;

@@ -1,6 +1,6 @@
-package com.dfsek.terra.procgen.pixel;
+package com.dfsek.terra.api.math.pixel;

-import com.dfsek.terra.procgen.math.Vector2;
+import com.dfsek.terra.api.math.vector.Vector2;
 import net.jafama.FastMath;

 import java.util.HashSet;
@@ -0,0 +1,173 @@
+package com.dfsek.terra.api.math.vector;
+
+import com.dfsek.terra.api.platform.block.Block;
+import com.dfsek.terra.api.platform.world.World;
+
+import java.util.Objects;
+
+public class Location implements Cloneable {
+    private World world;
+    private Vector3 vector;
+    private double pitch;
+    private double yaw;
+
+    public Location(World w, double x, double y, double z) {
+        this.world = w;
+        this.vector = new Vector3(x, y, z);
+    }
+
+    public Location(World w, Vector3 vector) {
+        this.world = w;
+        this.vector = vector;
+    }
+
+    public void setWorld(World world) {
+        this.world = world;
+    }
+
+    public Vector3 getVector() {
+        return vector;
+    }
+
+    public void setVector(Vector3 vector) {
+        this.vector = vector;
+    }
+
+    @Override
+    public Location clone() {
+        try {
+            Location other = (Location) super.clone();
+            other.setVector(other.getVector().clone());
+            return other;
+        } catch(CloneNotSupportedException e) {
+            throw new Error(e);
+        }
+    }
+
+    public int getBlockX() {
+        return vector.getBlockX();
+    }
+
+    public int getBlockY() {
+        return vector.getBlockY();
+    }
+
+    public int getBlockZ() {
+        return vector.getBlockZ();
+    }
+
+    public double getY() {
+        return vector.getY();
+    }
+
+    public Location setY(double y) {
+        vector.setY(y);
+        return this;
+    }
+
+    public double getX() {
+        return vector.getX();
+    }
+
+    public Location setX(double x) {
+        vector.setX(x);
+        return this;
+    }
+
+    public double getZ() {
+        return vector.getZ();
+    }
+
+    public Location setZ(double z) {
+        vector.setZ(z);
+        return this;
+    }
+
+    public World getWorld() {
+        return world;
+    }
+
+    public Location add(double x, double y, double z) {
+        vector.add(x, y, z);
+        return this;
+    }
+
+    public Block getBlock() {
+        return world.getBlockAt(this);
+    }
+
+    public Location subtract(int x, int y, int z) {
+        vector.subtract(x, y, z);
+        return this;
+    }
+
+    public Location add(Vector3 add) {
+        vector.add(add);
+        return this;
+    }
+
+    public Location add(Location add) {
+        vector.add(add.toVector());
+        return this;
+    }
+
+    @Override
+    public boolean equals(Object obj) {
+        if(!(obj instanceof Location)) {
+            return false;
+        }
+        final Location other = (Location) obj;
+
+        World world = this.world;
+        World otherWorld = other.world;
+        if(!Objects.equals(world, otherWorld)) {
+            return false;
+        }
+        if(Double.doubleToLongBits(this.vector.getX()) != Double.doubleToLongBits(other.vector.getX())) {
+            return false;
+        }
+        if(Double.doubleToLongBits(this.vector.getY()) != Double.doubleToLongBits(other.vector.getY())) {
+            return false;
+        }
+        return Double.doubleToLongBits(this.vector.getZ()) == Double.doubleToLongBits(other.vector.getZ());
+    }
+
+    public double getPitch() {
+        return pitch;
+    }
+
+    public void setPitch(double pitch) {
+        this.pitch = pitch;
+    }
+
+    public double getYaw() {
+        return yaw;
+    }
+
+    public void setYaw(double yaw) {
+        this.yaw = yaw;
+    }
+
+    @Override
+    public int hashCode() {
+        int hash = 3;
+
+        World world = (this.world == null) ? null : this.world;
+        hash = 19 * hash + (world != null ? world.hashCode() : 0);
+        hash = 19 * hash + (int) (Double.doubleToLongBits(this.vector.getX()) ^ (Double.doubleToLongBits(this.vector.getX()) >>> 32));
+        hash = 19 * hash + (int) (Double.doubleToLongBits(this.vector.getY()) ^ (Double.doubleToLongBits(this.vector.getY()) >>> 32));
+        hash = 19 * hash + (int) (Double.doubleToLongBits(this.vector.getZ()) ^ (Double.doubleToLongBits(this.vector.getZ()) >>> 32));
+        hash = 19 * hash + (int) (Double.doubleToLongBits(this.pitch) ^ Double.doubleToLongBits(this.pitch) >>> 32);
+        hash = 19 * hash + (int) (Double.doubleToLongBits(this.yaw) ^ Double.doubleToLongBits(this.yaw) >>> 32);
+        return hash;
+    }
+
+    public Vector3 toVector() {
+        return vector.clone();
+    }
+
+    @Override
+    public String toString() {
+        return "[" + world + ": (" + getX() + ", " + getY() + ", " + getZ() + ")]";
+    }
+}
@@ -1,11 +1,11 @@
-package com.dfsek.terra.procgen.math;
+package com.dfsek.terra.api.math.vector;

+import com.dfsek.terra.api.math.MathUtil;
 import net.jafama.FastMath;

 /**
 * oh yeah
 */
-@SuppressWarnings("unused")
 public class Vector2 implements Cloneable {
    private double x;
    private double z;
@@ -157,11 +157,9 @@ public class Vector2 implements Cloneable {

    @Override
    public boolean equals(Object obj) {
-        if(!(obj instanceof Vector2)) {
-            return false;
-        }
+        if(!(obj instanceof Vector2)) return false;
        Vector2 other = (Vector2) obj;
-        return other.x == this.x && other.z == this.z;
+        return MathUtil.equals(this.x, other.x) && MathUtil.equals(this.z, other.z);
    }

    @Override
@@ -173,6 +171,20 @@ public class Vector2 implements Cloneable {
        }
    }

+    public Vector2 add(double x, double z) {
+        this.x += x;
+        this.z += z;
+        return this;
+    }
+
+    public int getBlockX() {
+        return FastMath.floorToInt(x);
+    }
+
+    public int getBlockZ() {
+        return FastMath.floorToInt(z);
+    }
+
    @Override
    public String toString() {
        return "(" + x + ", " + z + ")";
@@ -0,0 +1,341 @@
+package com.dfsek.terra.api.math.vector;
+
+import com.dfsek.terra.api.math.MathUtil;
+import com.dfsek.terra.api.platform.world.World;
+import net.jafama.FastMath;
+import org.jetbrains.annotations.NotNull;
+
+/**
+ * 3D Mutable Vector
+ */
+public class Vector3 implements Cloneable {
+
+
+    private double x;
+    private double y;
+    private double z;
+
+    public Vector3(double x, double y, double z) {
+        this.x = x;
+        this.y = y;
+        this.z = z;
+    }
+
+    public double getZ() {
+        return z;
+    }
+
+    public Vector3 setZ(double z) {
+        this.z = z;
+        return this;
+    }
+
+    public double getX() {
+        return x;
+    }
+
+    public Vector3 setX(double x) {
+        this.x = x;
+        return this;
+    }
+
+    public double getY() {
+        return y;
+    }
+
+    public Vector3 setY(double y) {
+        this.y = y;
+        return this;
+    }
+
+    public int getBlockX() {
+        return FastMath.floorToInt(x);
+    }
+
+    public int getBlockY() {
+        return FastMath.floorToInt(y);
+    }
+
+    public int getBlockZ() {
+        return FastMath.floorToInt(z);
+    }
+
+    public Vector3 multiply(double m) {
+        x *= m;
+        y *= m;
+        z *= m;
+        return this;
+    }
+
+    public Vector3 add(double x, double y, double z) {
+        this.x += x;
+        this.y += y;
+        this.z += z;
+        return this;
+    }
+
+    public Vector3 add(Vector3 other) {
+        this.x += other.getX();
+        this.y += other.getY();
+        this.z += other.getZ();
+        return this;
+    }
+
+    public Vector3 add(Vector2 other) {
+        this.x += other.getX();
+        this.z += other.getZ();
+        return this;
+    }
+
+    public double lengthSquared() {
+        return x * x + y * y + z * z;
+    }
+
+    @Override
+    public Vector3 clone() {
+        try {
+            return (Vector3) super.clone();
+        } catch(CloneNotSupportedException e) {
+            throw new Error(e);
+        }
+    }
+
+    public double length() {
+        return FastMath.sqrt(lengthSquared());
+    }
+
+    public double inverseLength() {
+        return FastMath.invSqrtQuick(lengthSquared());
+    }
+
+    /**
+     * Returns if a vector is normalized
+     *
+     * @return whether the vector is normalised
+     */
+    public boolean isNormalized() {
+        return MathUtil.equals(this.lengthSquared(), 1);
+    }
+
+    /**
+     * Rotates the vector around the x axis.
+     * <p>
+     * This piece of math is based on the standard rotation matrix for vectors
+     * in three dimensional space. This matrix can be found here:
+     * <a href="https://en.wikipedia.org/wiki/Rotation_matrix#Basic_rotations">Rotation
+     * Matrix</a>.
+     *
+     * @param angle the angle to rotate the vector about. This angle is passed
+     *              in radians
+     * @return the same vector
+     */
+    @NotNull
+    public Vector3 rotateAroundX(double angle) {
+        double angleCos = Math.cos(angle);
+        double angleSin = Math.sin(angle);
+
+        double y = angleCos * getY() - angleSin * getZ();
+        double z = angleSin * getY() + angleCos * getZ();
+        return setY(y).setZ(z);
+    }
+
+    /**
+     * Rotates the vector around the y axis.
+     * <p>
+     * This piece of math is based on the standard rotation matrix for vectors
+     * in three dimensional space. This matrix can be found here:
+     * <a href="https://en.wikipedia.org/wiki/Rotation_matrix#Basic_rotations">Rotation
+     * Matrix</a>.
+     *
+     * @param angle the angle to rotate the vector about. This angle is passed
+     *              in radians
+     * @return the same vector
+     */
+    @NotNull
+    public Vector3 rotateAroundY(double angle) {
+        double angleCos = Math.cos(angle);
+        double angleSin = Math.sin(angle);
+
+        double x = angleCos * getX() + angleSin * getZ();
+        double z = -angleSin * getX() + angleCos * getZ();
+        return setX(x).setZ(z);
+    }
+
+    /**
+     * Rotates the vector around the z axis
+     * <p>
+     * This piece of math is based on the standard rotation matrix for vectors
+     * in three dimensional space. This matrix can be found here:
+     * <a href="https://en.wikipedia.org/wiki/Rotation_matrix#Basic_rotations">Rotation
+     * Matrix</a>.
+     *
+     * @param angle the angle to rotate the vector about. This angle is passed
+     *              in radians
+     * @return the same vector
+     */
+    @NotNull
+    public Vector3 rotateAroundZ(double angle) {
+        double angleCos = Math.cos(angle);
+        double angleSin = Math.sin(angle);
+
+        double x = angleCos * getX() - angleSin * getY();
+        double y = angleSin * getX() + angleCos * getY();
+        return setX(x).setY(y);
+    }
+
+    /**
+     * Get the distance between this vector and another. The value of this
+     * method is not cached and uses a costly square-root function, so do not
+     * repeatedly call this method to get the vector's magnitude. NaN will be
+     * returned if the inner result of the sqrt() function overflows, which
+     * will be caused if the distance is too long.
+     *
+     * @param o The other vector
+     * @return the distance
+     */
+    public double distance(@NotNull Vector3 o) {
+        return FastMath.sqrt(FastMath.pow2(x - o.x) + FastMath.pow2(y - o.y) + FastMath.pow2(z - o.z));
+    }
+
+    /**
+     * Get the squared distance between this vector and another.
+     *
+     * @param o The other vector
+     * @return the distance
+     */
+    public double distanceSquared(@NotNull Vector3 o) {
+        return FastMath.pow2(x - o.x) + FastMath.pow2(y - o.y) + FastMath.pow2(z - o.z);
+    }
+
+    /**
+     * Rotates the vector around a given arbitrary axis in 3 dimensional space.
+     *
+     * <p>
+     * Rotation will follow the general Right-Hand-Rule, which means rotation
+     * will be counterclockwise when the axis is pointing towards the observer.
+     * <p>
+     * This method will always make sure the provided axis is a unit vector, to
+     * not modify the length of the vector when rotating.
+     *
+     * @param axis  the axis to rotate the vector around. If the passed vector is
+     *              not of length 1, it gets copied and normalized before using it for the
+     *              rotation. Please use {@link Vector3#normalize()} on the instance before
+     *              passing it to this method
+     * @param angle the angle to rotate the vector around the axis
+     * @return the same vector
+     * @throws IllegalArgumentException if the provided axis vector instance is
+     *                                  null
+     */
+    @NotNull
+    public Vector3 rotateAroundAxis(@NotNull Vector3 axis, double angle) throws IllegalArgumentException {
+        return rotateAroundNonUnitAxis(axis.isNormalized() ? axis : axis.clone().normalize(), angle);
+    }
+
+    /**
+     * Rotates the vector around a given arbitrary axis in 3 dimensional space.
+     *
+     * <p>
+     * Rotation will follow the general Right-Hand-Rule, which means rotation
+     * will be counterclockwise when the axis is pointing towards the observer.
+     * <p>
+     * Note that the vector length will change accordingly to the axis vector
+     * length. If the provided axis is not a unit vector, the rotated vector
+     * will not have its previous length. The scaled length of the resulting
+     * vector will be related to the axis vector.
+     *
+     * @param axis  the axis to rotate the vector around.
+     * @param angle the angle to rotate the vector around the axis
+     * @return the same vector
+     * @throws IllegalArgumentException if the provided axis vector instance is
+     *                                  null
+     */
+    @NotNull
+    public Vector3 rotateAroundNonUnitAxis(@NotNull Vector3 axis, double angle) throws IllegalArgumentException {
+        double x = getX(), y = getY(), z = getZ();
+        double x2 = axis.getX(), y2 = axis.getY(), z2 = axis.getZ();
+
+        double cosTheta = Math.cos(angle);
+        double sinTheta = Math.sin(angle);
+        double dotProduct = this.dot(axis);
+
+        double xPrime = x2 * dotProduct * (1d - cosTheta)
+                + x * cosTheta
+                + (-z2 * y + y2 * z) * sinTheta;
+        double yPrime = y2 * dotProduct * (1d - cosTheta)
+                + y * cosTheta
+                + (z2 * x - x2 * z) * sinTheta;
+        double zPrime = z2 * dotProduct * (1d - cosTheta)
+                + z * cosTheta
+                + (-y2 * x + x2 * y) * sinTheta;
+
+        return setX(xPrime).setY(yPrime).setZ(zPrime);
+    }
+
+    /**
+     * Calculates the dot product of this vector with another. The dot product
+     * is defined as x1*x2+y1*y2+z1*z2. The returned value is a scalar.
+     *
+     * @param other The other vector
+     * @return dot product
+     */
+    public double dot(@NotNull Vector3 other) {
+        return x * other.x + y * other.y + z * other.z;
+    }
+
+    public Location toLocation(World world) {
+        return new Location(world, this.clone());
+    }
+
+    public Vector3 normalize() {
+        return this.multiply(this.inverseLength());
+    }
+
+    public Vector3 subtract(int x, int y, int z) {
+        this.x -= x;
+        this.y -= y;
+        this.z -= z;
+        return this;
+    }
+
+    public Vector3 subtract(Vector3 end) {
+        x -= end.x;
+        y -= end.y;
+        z -= end.z;
+        return this;
+    }
+
+    /**
+     * Returns a hash code for this vector
+     *
+     * @return hash code
+     */
+    @Override
+    public int hashCode() {
+        int hash = 7;
+
+        hash = 79 * hash + (int) (Double.doubleToLongBits(this.x) ^ (Double.doubleToLongBits(this.x) >>> 32));
+        hash = 79 * hash + (int) (Double.doubleToLongBits(this.y) ^ (Double.doubleToLongBits(this.y) >>> 32));
+        hash = 79 * hash + (int) (Double.doubleToLongBits(this.z) ^ (Double.doubleToLongBits(this.z) >>> 32));
+        return hash;
+    }
+
+    /**
+     * Checks to see if two objects are equal.
+     * <p>
+     * Only two Vectors can ever return true. This method uses a fuzzy match
+     * to account for floating point errors. The epsilon can be retrieved
+     * with epsilon.
+     */
+    @Override
+    public boolean equals(Object obj) {
+        if(!(obj instanceof Vector3)) return false;
+        Vector3 other = (Vector3) obj;
+        return MathUtil.equals(x, other.x) && MathUtil.equals(y, other.y) && MathUtil.equals(x, other.z);
+    }
+
+    @Override
+    public String toString() {
+        return "(" + getX() + ", " + getY() + ", " + getZ() + ")";
+    }
+
+}
@@ -0,0 +1,10 @@
+package com.dfsek.terra.api.math.voxel;
+
+
+import com.dfsek.terra.api.math.vector.Vector3;
+
+public class Cylinder extends VoxelGeometry {
+    public Cylinder(Vector3 start, int rad, int height) {
+
+    }
+}
@@ -1,14 +1,14 @@
-package com.dfsek.terra.procgen.voxel;
+package com.dfsek.terra.api.math.voxel;

-import org.bukkit.util.Vector;
-import org.polydev.gaea.math.FastNoiseLite;
+import com.dfsek.terra.api.math.noise.NoiseSampler;
+import com.dfsek.terra.api.math.vector.Vector3;

 public class DeformedSphere extends VoxelGeometry {
-    public DeformedSphere(Vector start, int rad, double deform, FastNoiseLite noise) {
+    public DeformedSphere(Vector3 start, int rad, double deform, NoiseSampler noise) {
        for(int x = -rad; x <= rad; x++) {
            for(int y = -rad; y <= rad; y++) {
                for(int z = -rad; z <= rad; z++) {
-                    Vector c = new Vector(x, y, z);
+                    Vector3 c = new Vector3(x, y, z);
                    if(c.length() < (rad + 0.5) * ((noise.getNoise(x, y, z) + 1) * deform)) {
                        addVector(c.add(start));
                    }
@@ -1,13 +1,13 @@
-package com.dfsek.terra.procgen.voxel;
+package com.dfsek.terra.api.math.voxel;

-import org.bukkit.util.Vector;
+import com.dfsek.terra.api.math.vector.Vector3;

 public class Sphere extends VoxelGeometry {
-    public Sphere(Vector start, int rad) {
+    public Sphere(Vector3 start, int rad) {
        for(int x = -rad; x <= rad; x++) {
            for(int y = -rad; y <= rad; y++) {
                for(int z = -rad; z <= rad; z++) {
-                    Vector c = new Vector(x, y, z);
+                    Vector3 c = new Vector3(x, y, z);
                    if(c.length() < rad + 0.5) {
                        addVector(c.add(start));
                    }
@@ -0,0 +1,15 @@
+package com.dfsek.terra.api.math.voxel;
+
+import com.dfsek.terra.api.math.vector.Vector3;
+
+public class Tube extends VoxelGeometry {
+    public Tube(Vector3 start, Vector3 end, int radius) {
+        Vector3 step = start.clone().subtract(end).normalize();
+        Vector3 run = start.clone();
+        int steps = (int) start.distance(end);
+        for(int i = 0; i < steps; i++) {
+            merge(new Sphere(run, radius));
+            run.add(step);
+        }
+    }
+}
@@ -1,23 +1,23 @@
-package com.dfsek.terra.procgen.voxel;
+package com.dfsek.terra.api.math.voxel;

-import org.bukkit.util.Vector;
-import org.polydev.gaea.util.GlueList;
+import com.dfsek.terra.api.math.vector.Vector3;
+import com.dfsek.terra.api.util.GlueList;

 import java.util.List;

 public abstract class VoxelGeometry {
-    private final List<Vector> geometry = new GlueList<>();
+    private final List<Vector3> geometry = new GlueList<>();

    public static VoxelGeometry getBlank() {
        return new VoxelGeometry() {
        };
    }

-    public List<Vector> getGeometry() {
+    public List<Vector3> getGeometry() {
        return geometry;
    }

-    protected void addVector(Vector v) {
+    protected void addVector(Vector3 v) {
        geometry.add(v);
    }

@@ -0,0 +1,5 @@
+package com.dfsek.terra.api.platform;
+
+public interface CommandSender extends Handle {
+    void sendMessage(String message);
+}
@@ -0,0 +1,13 @@
+package com.dfsek.terra.api.platform;
+
+/**
+ * An interface that contains a platform delegate.
+ */
+public interface Handle {
+    /**
+     * Gets the delegate object.
+     *
+     * @return Delegate
+     */
+    Object getHandle();
+}
@@ -0,0 +1,6 @@
+package com.dfsek.terra.api.platform;
+
+import com.dfsek.terra.api.platform.entity.Entity;
+
+public interface Player extends Entity {
+}
@@ -0,0 +1,5 @@
+package com.dfsek.terra.api.platform.block;
+
+public enum Axis {
+    X, Y, Z
+}
@@ -0,0 +1,31 @@
+package com.dfsek.terra.api.platform.block;
+
+import com.dfsek.terra.api.math.vector.Location;
+import com.dfsek.terra.api.platform.Handle;
+import com.dfsek.terra.api.platform.block.state.BlockState;
+
+public interface Block extends Handle {
+    void setBlockData(BlockData data, boolean physics);
+
+    BlockData getBlockData();
+
+    BlockState getState();
+
+    Block getRelative(BlockFace face);
+
+    Block getRelative(BlockFace face, int len);
+
+    boolean isEmpty();
+
+    Location getLocation();
+
+    MaterialData getType();
+
+    int getX();
+
+    int getZ();
+
+    int getY();
+
+    boolean isPassable();
+}
@@ -0,0 +1,13 @@
+package com.dfsek.terra.api.platform.block;
+
+import com.dfsek.terra.api.platform.Handle;
+
+public interface BlockData extends Cloneable, Handle {
+    MaterialData getMaterial();
+
+    boolean matches(MaterialData materialData);
+
+    BlockData clone();
+
+    String getAsString();
+}
@@ -0,0 +1,148 @@
+package com.dfsek.terra.api.platform.block;
+
+import com.dfsek.terra.api.math.vector.Vector3;
+import org.jetbrains.annotations.NotNull;
+
+public enum BlockFace {
+    NORTH(0, 0, -1),
+    EAST(1, 0, 0),
+    SOUTH(0, 0, 1),
+    WEST(-1, 0, 0),
+    UP(0, 1, 0),
+    DOWN(0, -1, 0),
+    NORTH_EAST(NORTH, EAST),
+    NORTH_WEST(NORTH, WEST),
+    SOUTH_EAST(SOUTH, EAST),
+    SOUTH_WEST(SOUTH, WEST),
+    WEST_NORTH_WEST(WEST, NORTH_WEST),
+    NORTH_NORTH_WEST(NORTH, NORTH_WEST),
+    NORTH_NORTH_EAST(NORTH, NORTH_EAST),
+    EAST_NORTH_EAST(EAST, NORTH_EAST),
+    EAST_SOUTH_EAST(EAST, SOUTH_EAST),
+    SOUTH_SOUTH_EAST(SOUTH, SOUTH_EAST),
+    SOUTH_SOUTH_WEST(SOUTH, SOUTH_WEST),
+    WEST_SOUTH_WEST(WEST, SOUTH_WEST),
+    SELF(0, 0, 0);
+
+    private final int modX;
+    private final int modY;
+    private final int modZ;
+
+    BlockFace(final int modX, final int modY, final int modZ) {
+        this.modX = modX;
+        this.modY = modY;
+        this.modZ = modZ;
+    }
+
+    BlockFace(final BlockFace face1, final BlockFace face2) {
+        this.modX = face1.getModX() + face2.getModX();
+        this.modY = face1.getModY() + face2.getModY();
+        this.modZ = face1.getModZ() + face2.getModZ();
+    }
+
+    /**
+     * Get the amount of X-coordinates to modify to get the represented block
+     *
+     * @return Amount of X-coordinates to modify
+     */
+    public int getModX() {
+        return modX;
+    }
+
+    /**
+     * Get the amount of Y-coordinates to modify to get the represented block
+     *
+     * @return Amount of Y-coordinates to modify
+     */
+    public int getModY() {
+        return modY;
+    }
+
+    /**
+     * Get the amount of Z-coordinates to modify to get the represented block
+     *
+     * @return Amount of Z-coordinates to modify
+     */
+    public int getModZ() {
+        return modZ;
+    }
+
+    /**
+     * Gets the normal vector corresponding to this block face.
+     *
+     * @return the normal vector
+     */
+    @NotNull
+    public Vector3 getDirection() {
+        Vector3 direction = new Vector3(modX, modY, modZ);
+        if(modX != 0 || modY != 0 || modZ != 0) {
+            direction.normalize();
+        }
+        return direction;
+    }
+
+    @NotNull
+    public BlockFace getOppositeFace() {
+        switch(this) {
+            case NORTH:
+                return BlockFace.SOUTH;
+
+            case SOUTH:
+                return BlockFace.NORTH;
+
+            case EAST:
+                return BlockFace.WEST;
+
+            case WEST:
+                return BlockFace.EAST;
+
+            case UP:
+                return BlockFace.DOWN;
+
+            case DOWN:
+                return BlockFace.UP;
+
+            case NORTH_EAST:
+                return BlockFace.SOUTH_WEST;
+
+            case NORTH_WEST:
+                return BlockFace.SOUTH_EAST;
+
+            case SOUTH_EAST:
+                return BlockFace.NORTH_WEST;
+
+            case SOUTH_WEST:
+                return BlockFace.NORTH_EAST;
+
+            case WEST_NORTH_WEST:
+                return BlockFace.EAST_SOUTH_EAST;
+
+            case NORTH_NORTH_WEST:
+                return BlockFace.SOUTH_SOUTH_EAST;
+
+            case NORTH_NORTH_EAST:
+                return BlockFace.SOUTH_SOUTH_WEST;
+
+            case EAST_NORTH_EAST:
+                return BlockFace.WEST_SOUTH_WEST;
+
+            case EAST_SOUTH_EAST:
+                return BlockFace.WEST_NORTH_WEST;
+
+            case SOUTH_SOUTH_EAST:
+                return BlockFace.NORTH_NORTH_WEST;
+
+            case SOUTH_SOUTH_WEST:
+                return BlockFace.NORTH_NORTH_EAST;
+
+            case WEST_SOUTH_WEST:
+                return BlockFace.EAST_NORTH_EAST;
+
+            case SELF:
+                return BlockFace.SELF;
+        }
+
+        return BlockFace.SELF;
+    }
+}
+
@@ -0,0 +1,17 @@
+package com.dfsek.terra.api.platform.block;
+
+import com.dfsek.terra.api.platform.Handle;
+
+public interface MaterialData extends Handle {
+    boolean matches(MaterialData other);
+
+    boolean matches(BlockData other);
+
+    boolean isSolid();
+
+    boolean isAir();
+
+    double getMaxDurability();
+
+    BlockData createBlockData();
+}
@@ -0,0 +1,9 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+
+public interface AnaloguePowerable extends BlockData {
+    int getMaximumPower();
+    int getPower();
+    void setPower(int power);
+}
@@ -0,0 +1,20 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+
+public interface Bisected extends BlockData {
+    Half getHalf();
+
+    void setHalf(Half half);
+
+    enum Half {
+        /**
+         * The top half of the block, normally with the higher y coordinate.
+         */
+        TOP,
+        /**
+         * The bottom half of the block, normally with the lower y coordinate.
+         */
+        BOTTOM
+    }
+}
@@ -0,0 +1,10 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+import com.dfsek.terra.api.platform.block.BlockFace;
+
+public interface Directional extends BlockData {
+    BlockFace getFacing();
+
+    void setFacing(BlockFace facing);
+}
@@ -0,0 +1,16 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+import com.dfsek.terra.api.platform.block.BlockFace;
+
+import java.util.Set;
+
+public interface MultipleFacing extends BlockData {
+    Set<BlockFace> getFaces();
+
+    void setFace(BlockFace face, boolean facing);
+
+    Set<BlockFace> getAllowedFaces();
+
+    boolean hasFace(BlockFace f);
+}
@@ -0,0 +1,14 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.Axis;
+import com.dfsek.terra.api.platform.block.BlockData;
+
+import java.util.Set;
+
+public interface Orientable extends BlockData {
+    Set<Axis> getAxes();
+
+    Axis getAxis();
+
+    void setAxis(Axis axis);
+}
@@ -0,0 +1,22 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+
+public interface Rail extends BlockData {
+    Shape getShape();
+
+    void setShape(Shape newShape);
+
+    enum Shape {
+        ASCENDING_EAST,
+        ASCENDING_NORTH,
+        ASCENDING_SOUTH,
+        ASCENDING_WEST,
+        EAST_WEST,
+        NORTH_EAST,
+        NORTH_SOUTH,
+        NORTH_WEST,
+        SOUTH_EAST,
+        SOUTH_WEST
+    }
+}
@@ -0,0 +1,15 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+import com.dfsek.terra.api.platform.block.BlockFace;
+
+import java.util.Set;
+
+public interface RedstoneWire extends BlockData, AnaloguePowerable {
+    Set<BlockFace> getAllowedFaces();
+    Connection getFace(BlockFace face);
+    void setFace(BlockFace face, Connection connection);
+    enum Connection {
+        NONE, SIDE, UP
+    }
+}
@@ -0,0 +1,10 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+import com.dfsek.terra.api.platform.block.BlockFace;
+
+public interface Rotatable extends BlockData {
+    BlockFace getRotation();
+
+    void setRotation(BlockFace face);
+}
@@ -0,0 +1,11 @@
+package com.dfsek.terra.api.platform.block.data;
+
+public interface Slab extends Waterlogged {
+    Type getType();
+
+    void setType(Type type);
+
+    enum Type {
+        TOP, BOTTOM, DOUBLE
+    }
+}
@@ -0,0 +1,30 @@
+package com.dfsek.terra.api.platform.block.data;
+
+public interface Stairs extends Waterlogged, Directional, Bisected {
+    Shape getShape();
+
+    void setShape(Shape shape);
+
+    enum Shape {
+        /**
+         * Regular stair block.
+         */
+        STRAIGHT,
+        /**
+         * Inner corner stair block with higher left side.
+         */
+        INNER_LEFT,
+        /**
+         * Inner corner stair block with higher right side.
+         */
+        INNER_RIGHT,
+        /**
+         * Outer corner stair block with higher left side.
+         */
+        OUTER_LEFT,
+        /**
+         * Outer corner stair block with higher right side.
+         */
+        OUTER_RIGHT
+    }
+}
@@ -0,0 +1,15 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+import com.dfsek.terra.api.platform.block.BlockFace;
+
+public interface Wall extends BlockData, Waterlogged {
+    boolean isUp();
+    void setHeight(BlockFace face, Height height);
+    Height getHeight(BlockFace face);
+    void setUp(boolean up);
+
+    enum Height {
+        LOW, NONE, TALL
+    }
+}
@@ -0,0 +1,9 @@
+package com.dfsek.terra.api.platform.block.data;
+
+import com.dfsek.terra.api.platform.block.BlockData;
+
+public interface Waterlogged extends BlockData {
+    boolean isWaterlogged();
+
+    void setWaterlogged(boolean waterlogged);
+}
@@ -0,0 +1,23 @@
+package com.dfsek.terra.api.platform.block.state;
+
+import com.dfsek.terra.api.platform.Handle;
+import com.dfsek.terra.api.platform.block.Block;
+import com.dfsek.terra.api.platform.block.BlockData;
+
+public interface BlockState extends Handle {
+    Block getBlock();
+
+    int getX();
+
+    int getY();
+
+    int getZ();
+
+    BlockData getBlockData();
+
+    boolean update(boolean applyPhysics);
+
+    default void applyState(String state) {
+        // Do nothing by default.
+    }
+}
@@ -0,0 +1,6 @@
+package com.dfsek.terra.api.platform.block.state;
+
+import com.dfsek.terra.api.platform.inventory.BlockInventoryHolder;
+
+public interface Container extends BlockState, BlockInventoryHolder {
+}
@@ -0,0 +1,38 @@
+package com.dfsek.terra.api.platform.block.state;
+
+import com.dfsek.terra.api.platform.entity.EntityType;
+import org.jetbrains.annotations.NotNull;
+
+public interface MobSpawner extends BlockState {
+    EntityType getSpawnedType();
+
+    void setSpawnedType(@NotNull EntityType creatureType);
+
+    int getDelay();
+
+    void setDelay(int delay);
+
+    int getMinSpawnDelay();
+
+    void setMinSpawnDelay(int delay);
+
+    int getMaxSpawnDelay();
+
+    void setMaxSpawnDelay(int delay);
+
+    int getSpawnCount();
+
+    void setSpawnCount(int spawnCount);
+
+    int getMaxNearbyEntities();
+
+    void setMaxNearbyEntities(int maxNearbyEntities);
+
+    int getRequiredPlayerRange();
+
+    void setRequiredPlayerRange(int requiredPlayerRange);
+
+    int getSpawnRange();
+
+    void setSpawnRange(int spawnRange);
+}
--- a/Show More
+++ b/Show More