Compare commits

..

3 Commits

Author SHA1 Message Date
solonovamax b3e43321b5 Maybe fix issues with jar not including pack.
Signed-off-by: solonovamax <solonovamax@12oclockpoint.com>
2020-11-24 19:46:31 -05:00
solonovamax 76d3e29d55 specify to upload shaded jar
Signed-off-by: solonovamax <solonovamax@12oclockpoint.com>
2020-11-24 19:33:47 -05:00
solonovamax 06a13f8757 Action (should work)
Signed-off-by: solonovamax <solonovamax@12oclockpoint.com>
2020-11-24 18:26:47 -05:00
715 changed files with 8544 additions and 28372 deletions
+1 -1
View File
@@ -6,7 +6,7 @@ end_of_line = lf
indent_size = 4
indent_style = space
insert_final_newline = false
max_line_length = 140
max_line_length = 120
tab_width = 4
ij_continuation_indent_size = 8
ij_formatter_off_tag = @formatter:off
+2 -3
View File
@@ -34,7 +34,6 @@ jobs:
with:
repo_token: ${{ secrets.GITHUB_TOKEN }}
prerelease: false
files: |
build/libs/Terra-*.jar
LICENSE
files: |
build/libs/Terra-*-shaded.jar
-6
View File
@@ -137,9 +137,3 @@ build
!lib/*.jar
.idea/Terra.iml
/run/
.idea/**.iml
/lang/
/packs/
/config.yml
/region/
+8
View File
@@ -0,0 +1,8 @@
# Default ignored files
/shelf/
/workspace.xml
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml
# Editor-based HTTP Client requests
/httpRequests/
+6
View File
@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="CompilerConfiguration">
<bytecodeTargetLevel target="1.8" />
</component>
</project>
+6
View File
@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="DiscordProjectSettings">
<option name="show" value="PROJECT_FILES" />
</component>
</project>
+18
View File
@@ -0,0 +1,18 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="GradleMigrationSettings" migrationVersion="1" />
<component name="GradleSettings">
<option name="linkedExternalProjectsSettings">
<GradleProjectSettings>
<option name="distributionType" value="DEFAULT_WRAPPED" />
<option name="externalProjectPath" value="$PROJECT_DIR$" />
<option name="gradleHome" value="/usr/share/java/gradle" />
<option name="modules">
<set>
<option value="$PROJECT_DIR$" />
</set>
</option>
</GradleProjectSettings>
</option>
</component>
</project>
+23
View File
@@ -0,0 +1,23 @@
<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>
+85
View File
@@ -0,0 +1,85 @@
<?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$/" />
</remote-repository>
</component>
</project>
+25
View File
@@ -0,0 +1,25 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="EntryPointsManager">
<entry_points version="2.0">
<entry_point TYPE="field" FQNAME="com.dfsek.terra.util.StructureTypeEnum NETHER_FORTRESS" />
</entry_points>
<list size="1">
<item index="0" class="java.lang.String" itemvalue="org.bukkit.event.EventHandler" />
</list>
</component>
<component name="ExternalStorageConfigurationManager" enabled="true" />
<component name="FrameworkDetectionExcludesConfiguration">
<file type="web" url="file://$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>
+124
View File
@@ -0,0 +1,124 @@
<?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>
Generated
+6
View File
@@ -0,0 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
</component>
</project>
+17
View File
@@ -0,0 +1,17 @@
<?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>
+231 -6
View File
@@ -1,11 +1,205 @@
import com.dfsek.terra.getGitHash
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
val versionObj = Version("4", "3", "0", true)
allprojects {
version = versionObj
group = "com.dfsek.terra"
plugins {
java
maven
id("com.github.johnrengelman.shadow").version("6.1.0")
}
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: $versionObj")
val tokens = mapOf("VERSION" to versionObj.toString())
filter(org.apache.tools.ant.filters.ReplaceTokens::class, "tokens" to tokens)
}
into("build/tokenizedSources")
includeEmptyDirs = false
}
compileJava.apply {
dependsOn(tokenizeJavaSources)
options.encoding = "UTF-8"
doFirst {
options.compilerArgs = mutableListOf("-Xlint:all")
}
}
tasks.test {
useJUnitPlatform()
maxHeapSize = "4G"
ignoreFailures = false
failFast = true
maxParallelForks = 12
}
tasks.named<ShadowJar>("shadowJar") {
from(tokenizeJavaSources.destinationDir)
dependsOn(downloadDefaultPacks)
archiveClassifier.set("shaded")
archiveBaseName.set("Terra")
setVersion(project.version)
relocate("org.apache.commons", "com.dfsek.terra.lib.commons")
relocate("org.bstats.bukkit", "com.dfsek.terra.lib.bstats")
relocate("parsii", "com.dfsek.terra.lib.parsii")
relocate("io.papermc.lib", "com.dfsek.terra.lib.paperlib")
relocate("net.jafama", "com.dfsek.terra.lib.jafama")
minimize {
exclude(project(":"))
}
}
tasks.build {
dependsOn(tasks.shadowJar)
// dependsOn(testWithPaper)
// testWithPaper.mustRunAfter(tasks.shadowJar)
}
val testDir = "target/server/"
val setupServer = tasks.create("setupServer") {
dependsOn(tasks.shadowJar)
doFirst {
// clean
file("${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("${buildDir}/resources/main/packs/").deleteRecursively()
val defaultPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/default.zip")
downloadAndUnzipPack(defaultPackUrl)
val netherPackUrl = URL("https://github.com/PolyhedralDev/TerraDefaultConfig/releases/download/latest/nether.zip")
downloadAndUnzipPack(netherPackUrl)
}
}
tasks.processResources {
dependsOn(downloadDefaultPacks)
}
val testWithPaper = task<JavaExec>(name = "testWithPaper") {
standardInput = System.`in`
dependsOn(tasks.shadowJar)
// Copy Terra into dir
doFirst {
copy {
from("${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.
*/
@@ -18,4 +212,35 @@ 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())
}
}
}
}
-13
View File
@@ -1,13 +0,0 @@
plugins {
`kotlin-dsl`
kotlin("jvm") version embeddedKotlinVersion
}
repositories {
mavenCentral()
gradlePluginPortal()
}
dependencies {
"implementation"("com.github.jengelman.gradle.plugins:shadow:+")
}
@@ -1,47 +0,0 @@
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
}
}
@@ -1,27 +0,0 @@
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"
}
}
@@ -1,26 +0,0 @@
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")
}
}
@@ -1,88 +0,0 @@
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())
}
-50
View File
@@ -1,50 +0,0 @@
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
}
}
}
}
}
@@ -1,7 +0,0 @@
package com.dfsek.terra.api;
import com.dfsek.tectonic.loading.TypeRegistry;
public interface LoaderRegistrar {
void register(TypeRegistry registry);
}
@@ -1,48 +0,0 @@
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();
}
@@ -1,4 +0,0 @@
package com.dfsek.terra.api.core.event;
public interface EventListener {
}
@@ -1,14 +0,0 @@
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);
}
@@ -1,92 +0,0 @@
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;
}
}
}
@@ -1,38 +0,0 @@
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();
}
@@ -1,11 +0,0 @@
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();
}
@@ -1,4 +0,0 @@
package com.dfsek.terra.api.core.event.events;
public interface Event {
}
@@ -1,16 +0,0 @@
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;
}
}
@@ -1,12 +0,0 @@
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);
}
}
@@ -1,12 +0,0 @@
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);
}
}
@@ -1,19 +0,0 @@
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;
}
}
@@ -1,193 +0,0 @@
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;
}
}
@@ -1,96 +0,0 @@
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);
}
}
}
@@ -1,123 +0,0 @@
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;
}
}
}
@@ -1,32 +0,0 @@
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);
}
@@ -1,20 +0,0 @@
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);
}
}
@@ -1,22 +0,0 @@
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;
}
}
@@ -1,45 +0,0 @@
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;
}
}
@@ -1,33 +0,0 @@
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));
}
}
@@ -1,44 +0,0 @@
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
);
}
}
@@ -1,67 +0,0 @@
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);
}
}
@@ -1,70 +0,0 @@
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);
}
}
@@ -1,59 +0,0 @@
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;
}
}
@@ -1,565 +0,0 @@
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
}
}
@@ -1,23 +0,0 @@
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;
}
}
@@ -1,43 +0,0 @@
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);
}
}
@@ -1,111 +0,0 @@
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);
}
@@ -1,46 +0,0 @@
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;
}
}
@@ -1,48 +0,0 @@
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;
}
}
@@ -1,58 +0,0 @@
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;
}
}
@@ -1,47 +0,0 @@
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;
}
}
@@ -1,39 +0,0 @@
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;
}
}
@@ -1,49 +0,0 @@
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;
}
}
@@ -1,266 +0,0 @@
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;
}
}
@@ -1,155 +0,0 @@
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;
}
}
@@ -1,69 +0,0 @@
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;
}
}
@@ -1,100 +0,0 @@
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;
}
}
@@ -1,104 +0,0 @@
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));
}
}
@@ -1,54 +0,0 @@
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);
}
}
@@ -1,25 +0,0 @@
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);
}
}
@@ -1,27 +0,0 @@
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;
}
}
@@ -1,44 +0,0 @@
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());
}
}
@@ -1,7 +0,0 @@
package com.dfsek.terra.api.math.paralithic.noise;
import com.dfsek.paralithic.functions.dynamic.DynamicFunction;
public interface NoiseFunction extends DynamicFunction {
}
@@ -1,55 +0,0 @@
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;
}
}
}
@@ -1,26 +0,0 @@
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;
}
}
@@ -1,173 +0,0 @@
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() + ")]";
}
}
@@ -1,341 +0,0 @@
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() + ")";
}
}
@@ -1,10 +0,0 @@
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) {
}
}
@@ -1,15 +0,0 @@
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);
}
}
}
@@ -1,5 +0,0 @@
package com.dfsek.terra.api.platform;
public interface CommandSender extends Handle {
void sendMessage(String message);
}
@@ -1,13 +0,0 @@
package com.dfsek.terra.api.platform;
/**
* An interface that contains a platform delegate.
*/
public interface Handle {
/**
* Gets the delegate object.
*
* @return Delegate
*/
Object getHandle();
}
@@ -1,6 +0,0 @@
package com.dfsek.terra.api.platform;
import com.dfsek.terra.api.platform.entity.Entity;
public interface Player extends Entity {
}
@@ -1,5 +0,0 @@
package com.dfsek.terra.api.platform.block;
public enum Axis {
X, Y, Z
}
@@ -1,31 +0,0 @@
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();
}
@@ -1,13 +0,0 @@
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();
}
@@ -1,148 +0,0 @@
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;
}
}
@@ -1,17 +0,0 @@
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();
}
@@ -1,9 +0,0 @@
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);
}
@@ -1,20 +0,0 @@
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
}
}
@@ -1,10 +0,0 @@
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);
}
@@ -1,16 +0,0 @@
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);
}
@@ -1,14 +0,0 @@
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);
}
@@ -1,22 +0,0 @@
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
}
}
@@ -1,15 +0,0 @@
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
}
}
@@ -1,10 +0,0 @@
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);
}
@@ -1,11 +0,0 @@
package com.dfsek.terra.api.platform.block.data;
public interface Slab extends Waterlogged {
Type getType();
void setType(Type type);
enum Type {
TOP, BOTTOM, DOUBLE
}
}
@@ -1,30 +0,0 @@
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
}
}
@@ -1,15 +0,0 @@
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
}
}
@@ -1,9 +0,0 @@
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);
}
@@ -1,23 +0,0 @@
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.
}
}
@@ -1,6 +0,0 @@
package com.dfsek.terra.api.platform.block.state;
import com.dfsek.terra.api.platform.inventory.BlockInventoryHolder;
public interface Container extends BlockState, BlockInventoryHolder {
}
@@ -1,38 +0,0 @@
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);
}
@@ -1,94 +0,0 @@
package com.dfsek.terra.api.platform.block.state;
import java.util.HashMap;
import java.util.Map;
public class SerialState {
protected final Map<String, Property<?>> properties = new HashMap<>();
public SerialState() {
}
public static Map<String, String> parse(String props) {
String[] sep = props.split(",");
Map<String, String> map = new HashMap<>();
for(String item : sep) {
map.put(item.substring(0, item.indexOf('=')), item.substring(item.indexOf('=') + 1));
}
return map;
}
private void checkExists(String prop) {
if(!properties.containsKey(prop)) throw new IllegalArgumentException("No such property \"" + prop + "\"");
}
private void checkType(Class<?> clazz, Object o, String id) {
if(!clazz.isInstance(o))
throw new IllegalArgumentException("Invalid data for property " + id + ": " + o);
}
public void setProperty(String id, Object value) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(prop.getValueClass(), value, id);
prop.setValue(value);
}
public int getInteger(String id) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(Integer.class, prop.getValue(), id);
return (Integer) prop.getValue();
}
public String getString(String id) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(String.class, prop.getValue(), id);
return (String) prop.getValue();
}
public long getLong(String id) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(Long.class, prop.getValue(), id);
return (Long) prop.getValue();
}
public boolean getBoolean(String id) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(Boolean.class, prop.getValue(), id);
return (Boolean) prop.getValue();
}
@SuppressWarnings("unchecked")
public <T> T get(String id, Class<T> clazz) {
checkExists(id);
Property<?> prop = properties.get(id);
checkType(clazz, prop.getValue(), id);
return (T) prop.getValue();
}
protected static class Property<T> {
private final Class<T> clazz;
private Object value;
public Property(Class<T> clazz) {
this.clazz = clazz;
}
public Class<T> getValueClass() {
return clazz;
}
@SuppressWarnings("unchecked")
public T getValue() {
return (T) value;
}
public void setValue(Object value) {
this.value = value;
}
}
}
@@ -1,11 +0,0 @@
package com.dfsek.terra.api.platform.block.state;
import org.jetbrains.annotations.NotNull;
public interface Sign extends BlockState {
@NotNull String[] getLines();
@NotNull String getLine(int index) throws IndexOutOfBoundsException;
void setLine(int index, @NotNull String line) throws IndexOutOfBoundsException;
}
@@ -1,9 +0,0 @@
package com.dfsek.terra.api.platform.entity;
import com.dfsek.terra.api.math.vector.Location;
import com.dfsek.terra.api.platform.CommandSender;
import com.dfsek.terra.api.platform.Handle;
public interface Entity extends Handle, CommandSender {
Location getLocation();
}
@@ -1,6 +0,0 @@
package com.dfsek.terra.api.platform.entity;
import com.dfsek.terra.api.platform.Handle;
public interface EntityType extends Handle {
}
@@ -1,15 +0,0 @@
package com.dfsek.terra.api.platform.handle;
import com.dfsek.terra.api.platform.block.MaterialData;
import com.dfsek.terra.api.platform.inventory.ItemStack;
import com.dfsek.terra.api.platform.inventory.item.Enchantment;
import java.util.Set;
public interface ItemHandle {
ItemStack newItemStack(MaterialData material, int amount);
Enchantment getEnchantment(String id);
Set<Enchantment> getEnchantments();
}
@@ -1,23 +0,0 @@
package com.dfsek.terra.api.platform.handle;
import com.dfsek.terra.api.platform.block.Block;
import com.dfsek.terra.api.platform.block.BlockData;
import com.dfsek.terra.api.platform.block.MaterialData;
import com.dfsek.terra.api.platform.entity.EntityType;
/**
* Interface to be implemented for world manipulation.
*/
public interface WorldHandle {
void setBlockData(Block block, BlockData data, boolean physics);
BlockData getBlockData(Block block);
MaterialData getType(Block block);
BlockData createBlockData(String data);
MaterialData createMaterialData(String data);
EntityType getEntity(String id);
}
@@ -1,7 +0,0 @@
package com.dfsek.terra.api.platform.inventory;
import com.dfsek.terra.api.platform.block.Block;
public interface BlockInventoryHolder extends InventoryHolder {
Block getBlock();
}

Some files were not shown because too many files have changed in this diff Show More