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@@ -47,14 +47,7 @@ JARs are produced in `platforms/<platform>/build/libs`.
|
||||
To run Minecraft with Terra in the IDE (for testing) use the following tasks:
|
||||
|
||||
* Bukkit
|
||||
* `installPaper` - Install a [Paper](https://github.com/PaperMC/Paper) test
|
||||
server. (Only needs to be run once).
|
||||
* `installPurpur` - Install a [Purpur](https://github.com/pl3xgaming/Purpur)
|
||||
test server. (Only needs to be run once).
|
||||
* `runPaper` - Run the Paper test server with Terra (`installPaper` must
|
||||
have been run previously).
|
||||
* `runPurpur` - Run the Purpur test server with Terra (`installPurpur` must
|
||||
have been run previously).
|
||||
* `runServer` - Run the Paper test server with Terra installed.
|
||||
* Fabric
|
||||
* `runClient` - Run a Minecraft Fabric client with Terra installed.
|
||||
* `runServer` - Run a Minecraft Fabric server with Terra installed.
|
||||
|
||||
+3
-3
@@ -1,8 +1,8 @@
|
||||
preRelease(true)
|
||||
|
||||
versionProjects(":common:api", version("6.2.1"))
|
||||
versionProjects(":common:implementation", version("6.2.1"))
|
||||
versionProjects(":platforms", version("6.2.1"))
|
||||
versionProjects(":common:api", version("6.4.0"))
|
||||
versionProjects(":common:implementation", version("6.4.0"))
|
||||
versionProjects(":platforms", version("6.4.0"))
|
||||
|
||||
|
||||
allprojects {
|
||||
|
||||
@@ -3,15 +3,6 @@ plugins {
|
||||
kotlin("jvm") version embeddedKotlinVersion
|
||||
}
|
||||
|
||||
buildscript {
|
||||
configurations.all {
|
||||
resolutionStrategy {
|
||||
force("org.ow2.asm:asm:9.3") // TODO: remove when ShadowJar updates ASM version
|
||||
force("org.ow2.asm:asm-commons:9.3")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
repositories {
|
||||
mavenCentral()
|
||||
gradlePluginPortal()
|
||||
@@ -24,11 +15,12 @@ repositories {
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation("gradle.plugin.com.github.jengelman.gradle.plugins:shadow:+")
|
||||
implementation("io.papermc.paperweight.userdev:io.papermc.paperweight.userdev.gradle.plugin:1.3.5")
|
||||
//TODO Allow pulling from Versions.kt
|
||||
implementation("com.github.johnrengelman", "shadow", "8.1.1")
|
||||
implementation("io.papermc.paperweight.userdev", "io.papermc.paperweight.userdev.gradle.plugin","1.5.6")
|
||||
|
||||
implementation("org.ow2.asm:asm:9.3")
|
||||
implementation("org.ow2.asm:asm-tree:9.3")
|
||||
implementation("com.dfsek.tectonic:common:4.2.0")
|
||||
implementation("org.yaml:snakeyaml:1.27")
|
||||
implementation("org.ow2.asm", "asm", "9.5")
|
||||
implementation("org.ow2.asm", "asm-tree", "9.5")
|
||||
implementation("com.dfsek.tectonic", "common", "4.2.0")
|
||||
implementation("org.yaml", "snakeyaml", "2.2")
|
||||
}
|
||||
@@ -48,6 +48,9 @@ fun Project.configureDependencies() {
|
||||
maven("https://jitpack.io") {
|
||||
name = "JitPack"
|
||||
}
|
||||
maven("https://nexuslite.gcnt.net/repos/other/") {
|
||||
name = "GCNT"
|
||||
}
|
||||
}
|
||||
|
||||
dependencies {
|
||||
@@ -58,4 +61,4 @@ fun Project.configureDependencies() {
|
||||
compileOnly("com.google.guava:guava:30.0-jre")
|
||||
testImplementation("com.google.guava:guava:30.0-jre")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,70 +1,70 @@
|
||||
object Versions {
|
||||
object Libraries {
|
||||
const val tectonic = "4.2.0"
|
||||
const val paralithic = "0.7.0"
|
||||
const val strata = "1.1.1"
|
||||
const val tectonic = "4.2.1"
|
||||
const val paralithic = "0.7.1"
|
||||
const val strata = "1.3.2"
|
||||
|
||||
const val cloud = "1.7.0"
|
||||
const val cloud = "1.8.4"
|
||||
|
||||
const val slf4j = "1.7.36"
|
||||
const val log4j_slf4j_impl = "2.14.1"
|
||||
const val slf4j = "2.0.9"
|
||||
const val log4j_slf4j_impl = "2.20.0"
|
||||
|
||||
object Internal {
|
||||
const val apacheText = "1.9"
|
||||
const val jafama = "2.3.2"
|
||||
const val apacheIO = "2.6"
|
||||
const val fastutil = "8.5.6"
|
||||
const val shadow = "8.1.1"
|
||||
const val apacheText = "1.10.0"
|
||||
const val apacheIO = "2.14.0"
|
||||
const val guava = "32.1.3-jre"
|
||||
const val asm = "9.5"
|
||||
const val snakeYml = "2.2"
|
||||
}
|
||||
}
|
||||
|
||||
object Fabric {
|
||||
const val fabricLoader = "0.14.8"
|
||||
const val fabricAPI = "0.57.0+1.19"
|
||||
}
|
||||
|
||||
object Quilt {
|
||||
const val quiltLoader = "0.17.0"
|
||||
const val fabricApi = "2.0.0-beta.4+0.57.0-1.19"
|
||||
const val fabricAPI = "0.90.0+${Mod.minecraft}"
|
||||
}
|
||||
//
|
||||
// object Quilt {
|
||||
// const val quiltLoader = "0.20.2"
|
||||
// const val fabricApi = "7.3.1+0.89.3-1.20.1"
|
||||
// }
|
||||
|
||||
object Mod {
|
||||
const val mixin = "0.11.2+mixin.0.8.5"
|
||||
const val mixin = "0.12.5+mixin.0.8.5"
|
||||
|
||||
const val minecraft = "1.19"
|
||||
const val yarn = "$minecraft+build.1"
|
||||
const val fabricLoader = "0.14.2"
|
||||
const val minecraft = "1.20.2"
|
||||
const val yarn = "$minecraft+build.4"
|
||||
const val fabricLoader = "0.14.23"
|
||||
|
||||
const val architecuryLoom = "0.12.0.290"
|
||||
const val architecturyPlugin = "3.4-SNAPSHOT"
|
||||
const val architecuryLoom = "1.3.357"
|
||||
const val architecturyPlugin = "3.4.146"
|
||||
|
||||
const val loomQuiltflower = "1.7.1"
|
||||
|
||||
const val lazyDfu = "0.1.2"
|
||||
const val loomVineflower = "1.11.0"
|
||||
}
|
||||
|
||||
object Forge {
|
||||
const val forge = "${Mod.minecraft}-41.0.63"
|
||||
const val burningwave = "12.53.0"
|
||||
const val forge = "${Mod.minecraft}-48.0.13"
|
||||
const val burningwave = "12.63.0"
|
||||
}
|
||||
|
||||
object Bukkit {
|
||||
const val paper = "1.18.2-R0.1-SNAPSHOT"
|
||||
const val paperLib = "1.0.5"
|
||||
const val minecraft = "1.19.2"
|
||||
const val foliaLib = "0.2.5"
|
||||
const val minecraft = "1.20.2"
|
||||
const val reflectionRemapper = "0.1.0-SNAPSHOT"
|
||||
const val paperDevBundle = "1.19.2-R0.1-SNAPSHOT"
|
||||
const val paperDevBundle = "1.20.2-R0.1-SNAPSHOT"
|
||||
const val runPaper = "2.2.0"
|
||||
const val paperWeight = "1.5.6"
|
||||
}
|
||||
|
||||
object Sponge {
|
||||
const val sponge = "9.0.0-SNAPSHOT"
|
||||
const val mixin = "0.8.2"
|
||||
const val minecraft = "1.17.1"
|
||||
}
|
||||
|
||||
//
|
||||
// object Sponge {
|
||||
// const val sponge = "9.0.0-SNAPSHOT"
|
||||
// const val mixin = "0.8.2"
|
||||
// const val minecraft = "1.17.1"
|
||||
// }
|
||||
//
|
||||
object CLI {
|
||||
const val nbt = "6.1"
|
||||
const val logback = "1.2.9"
|
||||
const val commonsIO = "2.7"
|
||||
const val guava = "31.0.1-jre"
|
||||
const val logback = "1.4.11"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
MIT License
|
||||
|
||||
Copyright (c) 2020-2021 Polyhedral Development
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
@@ -0,0 +1,5 @@
|
||||
# biome-provider-image-v2
|
||||
|
||||
Implements and registers the `IMAGE` biome provider, which
|
||||
utilizes various config types provided by the `library-image` addon to
|
||||
distribute biomes based on images.
|
||||
@@ -0,0 +1,8 @@
|
||||
version = version("1.0.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
compileOnlyApi(project(":common:addons:library-image"))
|
||||
|
||||
|
||||
}
|
||||
+51
@@ -0,0 +1,51 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.biome.image.v2;
|
||||
|
||||
import java.util.Optional;
|
||||
|
||||
import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
|
||||
import com.dfsek.terra.addons.image.converter.ColorConverter;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
|
||||
|
||||
public class ImageBiomeProvider implements BiomeProvider {
|
||||
private final int resolution;
|
||||
|
||||
private final ColorConverter<Biome> colorConverter;
|
||||
|
||||
private final ColorSampler colorSampler;
|
||||
|
||||
public ImageBiomeProvider(ColorConverter<Biome> colorConverter, ColorSampler colorSampler, int resolution) {
|
||||
this.resolution = resolution;
|
||||
this.colorConverter = colorConverter;
|
||||
this.colorSampler = colorSampler;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Biome getBiome(int x, int y, int z, long seed) {
|
||||
return getBiome(x, z);
|
||||
}
|
||||
|
||||
public Biome getBiome(int x, int z) {
|
||||
x /= resolution;
|
||||
z /= resolution;
|
||||
return colorConverter.apply(colorSampler.apply(x, z));
|
||||
}
|
||||
|
||||
@Override
|
||||
public Optional<Biome> getBaseBiome(int x, int z, long seed) {
|
||||
return Optional.of(getBiome(x, z));
|
||||
}
|
||||
|
||||
@Override
|
||||
public Iterable<Biome> getBiomes() {
|
||||
return colorConverter.getEntries();
|
||||
}
|
||||
}
|
||||
+74
@@ -0,0 +1,74 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.biome.image.v2;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import java.util.function.Supplier;
|
||||
|
||||
import com.dfsek.terra.addons.biome.image.v2.config.ImageProviderTemplate;
|
||||
import com.dfsek.terra.addons.biome.image.v2.config.converter.ClosestBiomeColorConverterTemplate;
|
||||
import com.dfsek.terra.addons.biome.image.v2.config.converter.ExactBiomeColorConverterTemplate;
|
||||
import com.dfsek.terra.addons.biome.image.v2.config.converter.mapping.DefinedBiomeColorMappingTemplate;
|
||||
import com.dfsek.terra.addons.image.converter.ColorConverter;
|
||||
import com.dfsek.terra.addons.image.converter.mapping.BiomeDefinedColorMapping;
|
||||
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
|
||||
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
import com.dfsek.terra.api.addon.BaseAddon;
|
||||
import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
|
||||
import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
|
||||
import com.dfsek.terra.api.inject.annotations.Inject;
|
||||
import com.dfsek.terra.api.registry.CheckedRegistry;
|
||||
import com.dfsek.terra.api.util.reflection.TypeKey;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
|
||||
|
||||
public class ImageBiomeProviderAddon implements AddonInitializer {
|
||||
public static final TypeKey<Supplier<ObjectTemplate<BiomeProvider>>> PROVIDER_REGISTRY_KEY = new TypeKey<>() {
|
||||
};
|
||||
|
||||
public static final TypeKey<Supplier<ObjectTemplate<ColorConverter<Biome>>>> BIOME_COLOR_CONVERTER_REGISTRY_KEY = new TypeKey<>() {
|
||||
};
|
||||
|
||||
public static final TypeKey<Supplier<ObjectTemplate<ColorMapping<Biome>>>> BIOME_COLOR_MAPPING_REGISTRY_KEY = new TypeKey<>() {
|
||||
};
|
||||
|
||||
@Inject
|
||||
private Platform platform;
|
||||
|
||||
@Inject
|
||||
private BaseAddon addon;
|
||||
|
||||
@Override
|
||||
public void initialize() {
|
||||
platform.getEventManager()
|
||||
.getHandler(FunctionalEventHandler.class)
|
||||
.register(addon, ConfigPackPreLoadEvent.class)
|
||||
.priority(501)
|
||||
.then(event -> {
|
||||
CheckedRegistry<Supplier<ObjectTemplate<BiomeProvider>>> providerRegistry = event.getPack().getOrCreateRegistry(
|
||||
PROVIDER_REGISTRY_KEY);
|
||||
providerRegistry.register(addon.key("IMAGE"), ImageProviderTemplate::new);
|
||||
})
|
||||
.then(event -> {
|
||||
CheckedRegistry<Supplier<ObjectTemplate<ColorConverter<Biome>>>> biomeColorConverterRegistry = event.getPack().getOrCreateRegistry(
|
||||
BIOME_COLOR_CONVERTER_REGISTRY_KEY);
|
||||
biomeColorConverterRegistry.register(addon.key("EXACT"), ExactBiomeColorConverterTemplate::new);
|
||||
biomeColorConverterRegistry.register(addon.key("CLOSEST"), ClosestBiomeColorConverterTemplate::new);
|
||||
})
|
||||
.then(event -> {
|
||||
CheckedRegistry<Supplier<ObjectTemplate<ColorMapping<Biome>>>> biomeColorMappingRegistry = event.getPack().getOrCreateRegistry(
|
||||
BIOME_COLOR_MAPPING_REGISTRY_KEY);
|
||||
biomeColorMappingRegistry.register(addon.key("USE_BIOME_COLORS"), () -> () -> new BiomeDefinedColorMapping<>(event.getPack().getRegistry(Biome.class), b -> b));
|
||||
biomeColorMappingRegistry.register(addon.key("MAP"), DefinedBiomeColorMappingTemplate::new);
|
||||
})
|
||||
.failThrough();
|
||||
}
|
||||
}
|
||||
+40
@@ -0,0 +1,40 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.biome.image.v2.config;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Description;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import com.dfsek.terra.addons.biome.image.v2.ImageBiomeProvider;
|
||||
import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
|
||||
import com.dfsek.terra.addons.image.converter.ColorConverter;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
|
||||
|
||||
@SuppressWarnings("FieldMayBeFinal")
|
||||
public class ImageProviderTemplate implements ObjectTemplate<BiomeProvider> {
|
||||
|
||||
@Value("resolution")
|
||||
@Default
|
||||
@Description("Sets the resolution at which to sample the image.")
|
||||
private int resolution = 1;
|
||||
|
||||
@Value("color-sampler")
|
||||
private ColorSampler colorSampler;
|
||||
|
||||
@Value("color-conversion")
|
||||
private ColorConverter<Biome> colorConverter;
|
||||
|
||||
@Override
|
||||
public BiomeProvider get() {
|
||||
return new ImageBiomeProvider(colorConverter, colorSampler, resolution);
|
||||
}
|
||||
}
|
||||
+19
@@ -0,0 +1,19 @@
|
||||
package com.dfsek.terra.addons.biome.image.v2.config.converter;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.image.config.converter.ClosestColorConverterTemplate;
|
||||
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
|
||||
|
||||
public class ClosestBiomeColorConverterTemplate extends ClosestColorConverterTemplate<Biome> {
|
||||
|
||||
@Value("match")
|
||||
private ColorMapping<Biome> match;
|
||||
|
||||
@Override
|
||||
protected ColorMapping<Biome> getMapping() {
|
||||
return match;
|
||||
}
|
||||
}
|
||||
+37
@@ -0,0 +1,37 @@
|
||||
package com.dfsek.terra.addons.biome.image.v2.config.converter;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.image.config.converter.ExactColorConverterTemplate;
|
||||
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
|
||||
|
||||
public class ExactBiomeColorConverterTemplate extends ExactColorConverterTemplate<Biome> {
|
||||
|
||||
@Value("match")
|
||||
private ColorMapping<Biome> match;
|
||||
|
||||
@Value("else")
|
||||
private Biome fallback;
|
||||
|
||||
@Value("ignore-alpha")
|
||||
@Default
|
||||
private boolean ignoreAlpha = true;
|
||||
|
||||
@Override
|
||||
protected ColorMapping<Biome> getMapping() {
|
||||
return match;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Biome getFallback() {
|
||||
return fallback;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected boolean ignoreAlpha() {
|
||||
return ignoreAlpha;
|
||||
}
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
package com.dfsek.terra.addons.biome.image.v2.config.converter.mapping;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.image.config.ColorLoader.ColorString;
|
||||
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
|
||||
import com.dfsek.terra.addons.image.util.MapUtil;
|
||||
import com.dfsek.terra.api.world.biome.Biome;
|
||||
|
||||
|
||||
public class DefinedBiomeColorMappingTemplate implements ObjectTemplate<ColorMapping<Biome>> {
|
||||
|
||||
@Value("map")
|
||||
Map<ColorString, Biome> map;
|
||||
|
||||
@Override
|
||||
public ColorMapping<Biome> get() {
|
||||
var map = MapUtil.mapKeys(this.map, ColorString::getColor);
|
||||
return () -> map;
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,14 @@
|
||||
schema-version: 1
|
||||
contributors:
|
||||
- Terra contributors
|
||||
id: biome-provider-image-v2
|
||||
version: @VERSION@
|
||||
entrypoints:
|
||||
- "com.dfsek.terra.addons.biome.image.v2.ImageBiomeProviderAddon"
|
||||
website:
|
||||
issues: https://github.com/PolyhedralDev/Terra/issues
|
||||
source: https://github.com/PolyhedralDev/Terra
|
||||
docs: https://terra.polydev.org
|
||||
license: MIT License
|
||||
depends:
|
||||
library-image: "1.+"
|
||||
@@ -2,10 +2,6 @@ version = version("1.0.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.biome.image.lib.jafama")
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
+4
-6
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.biome.image;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.awt.Color;
|
||||
import java.awt.image.BufferedImage;
|
||||
import java.util.HashMap;
|
||||
@@ -34,7 +32,7 @@ public class ImageBiomeProvider implements BiomeProvider {
|
||||
}
|
||||
|
||||
private static int distance(Color a, Color b) {
|
||||
return FastMath.abs(a.getRed() - b.getRed()) + FastMath.abs(a.getGreen() - b.getGreen()) + FastMath.abs(a.getBlue() - b.getBlue());
|
||||
return Math.abs(a.getRed() - b.getRed()) + Math.abs(a.getGreen() - b.getGreen()) + Math.abs(a.getBlue() - b.getBlue());
|
||||
}
|
||||
|
||||
@Override
|
||||
@@ -70,14 +68,14 @@ public class ImageBiomeProvider implements BiomeProvider {
|
||||
CENTER {
|
||||
@Override
|
||||
public Color getColor(BufferedImage image, int x, int z) {
|
||||
return new Color(image.getRGB(FastMath.floorMod(x - image.getWidth() / 2, image.getWidth()),
|
||||
FastMath.floorMod(z - image.getHeight() / 2, image.getHeight())));
|
||||
return new Color(image.getRGB(Math.floorMod(x - image.getWidth() / 2, image.getWidth()),
|
||||
Math.floorMod(z - image.getHeight() / 2, image.getHeight())));
|
||||
}
|
||||
},
|
||||
NONE {
|
||||
@Override
|
||||
public Color getColor(BufferedImage image, int x, int z) {
|
||||
return new Color(image.getRGB(FastMath.floorMod(x, image.getWidth()), FastMath.floorMod(z, image.getHeight())));
|
||||
return new Color(image.getRGB(Math.floorMod(x, image.getWidth()), Math.floorMod(z, image.getHeight())));
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
+7
@@ -8,6 +8,8 @@
|
||||
package com.dfsek.terra.addons.biome.image;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.util.function.Supplier;
|
||||
|
||||
@@ -24,6 +26,9 @@ import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
|
||||
|
||||
public class ImageBiomeProviderAddon implements AddonInitializer {
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(ImageBiomeProviderAddon.class);
|
||||
|
||||
public static final TypeKey<Supplier<ObjectTemplate<BiomeProvider>>> PROVIDER_REGISTRY_KEY = new TypeKey<>() {
|
||||
};
|
||||
|
||||
@@ -45,5 +50,7 @@ public class ImageBiomeProviderAddon implements AddonInitializer {
|
||||
() -> new ImageProviderTemplate(event.getPack().getRegistry(Biome.class)));
|
||||
})
|
||||
.failThrough();
|
||||
if(platform.getTerraConfig().isDebugLog())
|
||||
logger.warn("The biome-provider-image addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-image-v2 addon for future pack development instead.");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,11 +2,4 @@ version = version("1.0.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
|
||||
}
|
||||
+3
-3
@@ -11,6 +11,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import java.util.function.Supplier;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.BiomePipelineTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.PipelineBiomeLoader;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.source.SamplerSourceTemplate;
|
||||
@@ -20,9 +23,6 @@ import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.BorderStage
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceListStageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceStageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.SmoothStageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
import com.dfsek.terra.api.addon.BaseAddon;
|
||||
|
||||
+17
-12
@@ -1,19 +1,19 @@
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2;
|
||||
|
||||
import com.github.benmanes.caffeine.cache.Caffeine;
|
||||
import com.github.benmanes.caffeine.cache.LoadingCache;
|
||||
|
||||
import java.util.Comparator;
|
||||
import java.util.HashSet;
|
||||
import java.util.Optional;
|
||||
import java.util.Set;
|
||||
import java.util.stream.StreamSupport;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Pipeline;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.github.benmanes.caffeine.cache.Caffeine;
|
||||
import com.github.benmanes.caffeine.cache.LoadingCache;
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.Comparator;
|
||||
import java.util.HashSet;
|
||||
import java.util.Set;
|
||||
import java.util.stream.StreamSupport;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.registry.key.StringIdentifiable;
|
||||
import com.dfsek.terra.api.util.Column;
|
||||
@@ -36,7 +36,7 @@ public class PipelineBiomeProvider implements BiomeProvider {
|
||||
this.noiseAmp = noiseAmp;
|
||||
this.chunkSize = pipeline.getChunkSize();
|
||||
this.biomeChunkCache = Caffeine.newBuilder()
|
||||
.maximumSize(1024)
|
||||
.maximumSize(64)
|
||||
.build(pipeline::generateChunk);
|
||||
|
||||
Set<PipelineBiome> biomeSet = new HashSet<>();
|
||||
@@ -80,8 +80,8 @@ public class PipelineBiomeProvider implements BiomeProvider {
|
||||
x /= resolution;
|
||||
z /= resolution;
|
||||
|
||||
int chunkX = FastMath.floorDiv(x, chunkSize);
|
||||
int chunkZ = FastMath.floorDiv(z, chunkSize);
|
||||
int chunkX = Math.floorDiv(x, chunkSize);
|
||||
int chunkZ = Math.floorDiv(z, chunkSize);
|
||||
|
||||
int chunkWorldX = chunkX * chunkSize;
|
||||
int chunkWorldZ = chunkZ * chunkSize;
|
||||
@@ -97,6 +97,11 @@ public class PipelineBiomeProvider implements BiomeProvider {
|
||||
return biomes;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Optional<Biome> getBaseBiome(int x, int z, long seed) {
|
||||
return Optional.of(getBiome(x, z, seed));
|
||||
}
|
||||
|
||||
@Override
|
||||
public Column<Biome> getColumn(int x, int z, long seed, int min, int max) {
|
||||
return new BiomePipelineColumn(this, min, max, x, z, seed);
|
||||
|
||||
+1
-1
@@ -1,7 +1,7 @@
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2.api;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
|
||||
|
||||
|
||||
/**
|
||||
|
||||
+1
-1
@@ -1,7 +1,7 @@
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2.api;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
|
||||
|
||||
|
||||
public interface Stage {
|
||||
|
||||
+2
-2
@@ -15,9 +15,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
import java.util.List;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.PipelineBiomeProvider;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
@@ -54,6 +54,6 @@ public class BiomePipelineTemplate implements ObjectTemplate<BiomeProvider> {
|
||||
|
||||
@Override
|
||||
public BiomeProvider get() {
|
||||
return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 500), resolution, blendSampler, blendAmplitude);
|
||||
return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 128), resolution, blendSampler, blendAmplitude);
|
||||
}
|
||||
}
|
||||
|
||||
+1
-1
@@ -7,8 +7,8 @@
|
||||
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.expander;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.expander.FractalExpander;
|
||||
|
||||
|
||||
|
||||
+1
-1
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderListStage;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
|
||||
|
||||
+1
-1
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderStage;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
|
||||
|
||||
+1
-1
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceListStage;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
|
||||
|
||||
+1
-1
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceStage;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
|
||||
|
||||
+1
-1
@@ -7,8 +7,8 @@
|
||||
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.SmoothStage;
|
||||
|
||||
|
||||
|
||||
+3
-4
@@ -1,13 +1,12 @@
|
||||
package com.dfsek.terra.addons.biome.pipeline.v2.pipeline;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
|
||||
public class BiomeChunkImpl implements BiomeChunk {
|
||||
@@ -111,7 +110,7 @@ public class BiomeChunkImpl implements BiomeChunk {
|
||||
// chunk samples points on the same overall grid.
|
||||
// Without this, shared chunk borders (required because of adjacent cell reads) will not be identical
|
||||
// because points would be sampled on grids at different offsets, resulting in artifacts at borders.
|
||||
return FastMath.ceilToInt((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
|
||||
return (int) Math.ceil((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
|
||||
}
|
||||
|
||||
private static int calculateFinalGridOrigin(int totalExpanderCount, List<Stage> stages) {
|
||||
|
||||
+1
-1
@@ -3,8 +3,8 @@ package com.dfsek.terra.addons.biome.pipeline.v2.source;
|
||||
import java.util.Collections;
|
||||
import java.util.Set;
|
||||
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
|
||||
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
|
||||
|
||||
|
||||
public class SingleSource implements Source {
|
||||
|
||||
@@ -2,11 +2,4 @@ version = version("1.0.1")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
|
||||
}
|
||||
+2
-1
@@ -90,6 +90,7 @@ public class BiomePipelineAddon implements AddonInitializer {
|
||||
event.getPack().applyLoader(BiomeDelegate.class, new BiomeDelegateLoader(biomeRegistry));
|
||||
});
|
||||
|
||||
logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
|
||||
if(platform.getTerraConfig().isDebugLog())
|
||||
logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
|
||||
}
|
||||
}
|
||||
|
||||
+2
-3
@@ -9,7 +9,6 @@ package com.dfsek.terra.addons.biome.pipeline;
|
||||
|
||||
import com.github.benmanes.caffeine.cache.Caffeine;
|
||||
import com.github.benmanes.caffeine.cache.LoadingCache;
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.Comparator;
|
||||
import java.util.HashSet;
|
||||
@@ -86,8 +85,8 @@ public class BiomePipelineProvider implements BiomeProvider {
|
||||
x /= resolution;
|
||||
z /= resolution;
|
||||
|
||||
int fdX = FastMath.floorDiv(x, pipeline.getSize());
|
||||
int fdZ = FastMath.floorDiv(z, pipeline.getSize());
|
||||
int fdX = Math.floorDiv(x, pipeline.getSize());
|
||||
int fdZ = Math.floorDiv(z, pipeline.getSize());
|
||||
return holderCache.get(new SeededVector(fdX, fdZ, seed)).getBiome(x - fdX * pipeline.getSize(),
|
||||
z - fdZ * pipeline.getSize()).getBiome();
|
||||
}
|
||||
|
||||
@@ -1,12 +1,5 @@
|
||||
version = version("1.1.0")
|
||||
version = version("1.2.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.chunkgenerator.lib.jafama")
|
||||
}
|
||||
|
||||
+14
-6
@@ -11,9 +11,10 @@ import com.dfsek.terra.addons.chunkgenerator.config.NoiseChunkGeneratorPackConfi
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseConfigTemplate;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.BiomePaletteTemplate;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.SlantLayer;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.slant.SlantLayerTemplate;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.NoiseChunkGenerator3D;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
import com.dfsek.terra.api.addon.BaseAddon;
|
||||
@@ -36,15 +37,20 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
|
||||
|
||||
@Override
|
||||
public void initialize() {
|
||||
PropertyKey<PaletteInfo> paletteInfoPropertyKey = Context.create(PaletteInfo.class);
|
||||
PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey = Context.create(BiomePaletteInfo.class);
|
||||
PropertyKey<BiomeNoiseProperties> noisePropertiesPropertyKey = Context.create(BiomeNoiseProperties.class);
|
||||
platform.getEventManager()
|
||||
.getHandler(FunctionalEventHandler.class)
|
||||
.register(addon, ConfigPackPreLoadEvent.class)
|
||||
.priority(1000)
|
||||
.then(event -> {
|
||||
|
||||
event.getPack().applyLoader(SlantHolder.CalculationMethod.class,
|
||||
(type, o, loader, depthTracker) -> SlantHolder.CalculationMethod.valueOf((String) o));
|
||||
|
||||
NoiseChunkGeneratorPackConfigTemplate config = event.loadTemplate(new NoiseChunkGeneratorPackConfigTemplate());
|
||||
|
||||
event.getPack().getContext().put(config);
|
||||
|
||||
event.getPack()
|
||||
.getOrCreateRegistry(ChunkGeneratorProvider.class)
|
||||
.register(addon.key("NOISE_3D"),
|
||||
@@ -53,7 +59,7 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
|
||||
config.getVerticalRes(), noisePropertiesPropertyKey,
|
||||
paletteInfoPropertyKey));
|
||||
event.getPack()
|
||||
.applyLoader(SlantLayer.class, SlantLayer::new);
|
||||
.applyLoader(SlantHolder.Layer.class, SlantLayerTemplate::new);
|
||||
})
|
||||
.failThrough();
|
||||
|
||||
@@ -62,8 +68,10 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
|
||||
.register(addon, ConfigurationLoadEvent.class)
|
||||
.then(event -> {
|
||||
if(event.is(Biome.class)) {
|
||||
NoiseChunkGeneratorPackConfigTemplate config = event.getPack().getContext().get(NoiseChunkGeneratorPackConfigTemplate.class);
|
||||
|
||||
event.getLoadedObject(Biome.class).getContext().put(paletteInfoPropertyKey,
|
||||
event.load(new BiomePaletteTemplate(platform)).get());
|
||||
event.load(new BiomePaletteTemplate(platform, config.getSlantCalculationMethod())).get());
|
||||
event.getLoadedObject(Biome.class).getContext().put(noisePropertiesPropertyKey,
|
||||
event.load(new BiomeNoiseConfigTemplate()).get());
|
||||
}
|
||||
|
||||
+11
-1
@@ -4,10 +4,12 @@ import com.dfsek.tectonic.api.config.template.ConfigTemplate;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.properties.Properties;
|
||||
|
||||
|
||||
public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
|
||||
public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate, Properties {
|
||||
@Value("blend.terrain.elevation")
|
||||
@Default
|
||||
private @Meta int elevationBlend = 4;
|
||||
@@ -20,6 +22,10 @@ public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
|
||||
@Default
|
||||
private @Meta int verticalRes = 2;
|
||||
|
||||
@Value("slant.calculation-method")
|
||||
@Default
|
||||
private SlantHolder.@Meta CalculationMethod slantCalculationMethod = SlantHolder.CalculationMethod.Derivative;
|
||||
|
||||
public int getElevationBlend() {
|
||||
return elevationBlend;
|
||||
}
|
||||
@@ -31,4 +37,8 @@ public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
|
||||
public int getVerticalRes() {
|
||||
return verticalRes;
|
||||
}
|
||||
|
||||
public SlantHolder.CalculationMethod getSlantCalculationMethod() {
|
||||
return slantCalculationMethod;
|
||||
}
|
||||
}
|
||||
|
||||
+13
-26
@@ -15,25 +15,23 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.TreeMap;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolderBuilder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
import com.dfsek.terra.api.block.state.BlockState;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public class BiomePaletteTemplate implements ObjectTemplate<PaletteInfo> {
|
||||
public class BiomePaletteTemplate implements ObjectTemplate<BiomePaletteInfo> {
|
||||
private final Platform platform;
|
||||
|
||||
@Value("slant")
|
||||
@Default
|
||||
@Description("The slant palettes to use in this biome.")
|
||||
private @Meta List<@Meta SlantLayer> slant = Collections.emptyList();
|
||||
private @Meta List<SlantHolder.@Meta Layer> slantLayers = Collections.emptyList();
|
||||
|
||||
@Value("slant-depth")
|
||||
@Default
|
||||
@@ -63,27 +61,16 @@ public class BiomePaletteTemplate implements ObjectTemplate<PaletteInfo> {
|
||||
@Default
|
||||
private @Meta boolean updatePalette = false;
|
||||
|
||||
public BiomePaletteTemplate(Platform platform) { this.platform = platform; }
|
||||
private final SlantHolder.CalculationMethod slantCalculationMethod;
|
||||
|
||||
public BiomePaletteTemplate(Platform platform, SlantHolder.CalculationMethod slantCalculationMethod) {
|
||||
this.platform = platform;
|
||||
this.slantCalculationMethod = slantCalculationMethod;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PaletteInfo get() {
|
||||
PaletteHolderBuilder builder = new PaletteHolderBuilder();
|
||||
for(Map<Palette, Integer> layer : palettes) {
|
||||
for(Entry<Palette, Integer> entry : layer.entrySet()) {
|
||||
builder.add(entry.getValue(), entry.getKey());
|
||||
}
|
||||
}
|
||||
|
||||
TreeMap<Double, PaletteHolder> slantLayers = new TreeMap<>();
|
||||
double minThreshold = Double.MAX_VALUE;
|
||||
|
||||
for(SlantLayer layer : slant) {
|
||||
double threshold = layer.getThreshold();
|
||||
if(threshold < minThreshold) minThreshold = threshold;
|
||||
slantLayers.put(threshold, layer.getPalette());
|
||||
}
|
||||
|
||||
return new PaletteInfo(builder.build(), SlantHolder.of(slantLayers, minThreshold), oceanPalette, seaLevel, slantDepth,
|
||||
updatePalette);
|
||||
public BiomePaletteInfo get() {
|
||||
return new BiomePaletteInfo(PaletteHolder.of(palettes), SlantHolder.of(slantLayers, slantDepth, slantCalculationMethod),
|
||||
oceanPalette, seaLevel, updatePalette);
|
||||
}
|
||||
}
|
||||
|
||||
-22
@@ -1,22 +0,0 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.config.palette;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
|
||||
import com.dfsek.terra.api.properties.Properties;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public record PaletteInfo(PaletteHolder paletteHolder,
|
||||
SlantHolder slantHolder,
|
||||
Palette ocean,
|
||||
int seaLevel,
|
||||
int maxSlantDepth,
|
||||
boolean updatePaletteWhenCarving) implements Properties {
|
||||
}
|
||||
-42
@@ -1,42 +0,0 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.config.palette;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolderBuilder;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public class SlantLayer implements ObjectTemplate<SlantLayer> {
|
||||
@Value("threshold")
|
||||
private @Meta double threshold;
|
||||
|
||||
@Value("palette")
|
||||
private @Meta List<@Meta Map<@Meta Palette, @Meta Integer>> palettes;
|
||||
|
||||
@Override
|
||||
public SlantLayer get() {
|
||||
return this;
|
||||
}
|
||||
|
||||
public double getThreshold() {
|
||||
return threshold;
|
||||
}
|
||||
|
||||
public PaletteHolder getPalette() {
|
||||
PaletteHolderBuilder builder = new PaletteHolderBuilder();
|
||||
for(Map<Palette, Integer> layer : palettes) {
|
||||
for(Entry<Palette, Integer> entry : layer.entrySet()) {
|
||||
builder.add(entry.getValue(), entry.getKey());
|
||||
}
|
||||
}
|
||||
|
||||
return builder.build();
|
||||
}
|
||||
}
|
||||
+27
@@ -0,0 +1,27 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.config.palette.slant;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public class SlantLayerTemplate implements ObjectTemplate<SlantHolder.Layer> {
|
||||
|
||||
@Value("threshold")
|
||||
private @Meta double threshold;
|
||||
|
||||
@Value("palette")
|
||||
private @Meta List<@Meta Map<@Meta Palette, @Meta Integer>> palettes;
|
||||
|
||||
@Override
|
||||
public SlantHolder.Layer get() {
|
||||
return new SlantHolder.Layer(PaletteHolder.of(palettes), threshold);
|
||||
}
|
||||
}
|
||||
+17
-8
@@ -8,15 +8,14 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.generation;
|
||||
|
||||
|
||||
import net.jafama.FastMath;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.PaletteUtil;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.LazilyEvaluatedInterpolator;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.SamplerProvider;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
import com.dfsek.terra.api.block.state.BlockState;
|
||||
import com.dfsek.terra.api.config.ConfigPack;
|
||||
@@ -40,13 +39,13 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
|
||||
private final int carverHorizontalResolution;
|
||||
private final int carverVerticalResolution;
|
||||
|
||||
private final PropertyKey<PaletteInfo> paletteInfoPropertyKey;
|
||||
private final PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey;
|
||||
private final PropertyKey<BiomeNoiseProperties> noisePropertiesKey;
|
||||
|
||||
public NoiseChunkGenerator3D(ConfigPack pack, Platform platform, int elevationBlend, int carverHorizontalResolution,
|
||||
int carverVerticalResolution,
|
||||
PropertyKey<BiomeNoiseProperties> noisePropertiesKey,
|
||||
PropertyKey<PaletteInfo> paletteInfoPropertyKey) {
|
||||
PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey) {
|
||||
this.platform = platform;
|
||||
this.air = platform.getWorldHandle().air();
|
||||
this.carverHorizontalResolution = carverHorizontalResolution;
|
||||
@@ -97,7 +96,7 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
|
||||
for(int y = world.getMaxHeight() - 1; y >= world.getMinHeight(); y--) {
|
||||
Biome biome = biomeColumn.get(y);
|
||||
|
||||
PaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
|
||||
BiomePaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
|
||||
|
||||
int sea = paletteInfo.seaLevel();
|
||||
Palette seaPalette = paletteInfo.ocean();
|
||||
@@ -131,10 +130,10 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
|
||||
Biome biome = biomeProvider.getBiome(x, y, z, world.getSeed());
|
||||
Sampler3D sampler = samplerCache.get(x, z, world, biomeProvider);
|
||||
|
||||
PaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
|
||||
BiomePaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
|
||||
|
||||
int fdX = FastMath.floorMod(x, 16);
|
||||
int fdZ = FastMath.floorMod(z, 16);
|
||||
int fdX = Math.floorMod(x, 16);
|
||||
int fdZ = Math.floorMod(z, 16);
|
||||
|
||||
Palette palette = PaletteUtil.getPalette(fdX, y, fdZ, sampler, paletteInfo, 0);
|
||||
double noise = sampler.sample(fdX, y, fdZ);
|
||||
@@ -155,6 +154,16 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
|
||||
return biomeProvider.getBiome(x, y, z, world.getSeed()).getContext().get(paletteInfoPropertyKey).paletteHolder().getPalette(y);
|
||||
}
|
||||
|
||||
public double getSlant(int x, int y, int z, WorldProperties world, BiomeProvider biomeProvider) {
|
||||
int fdX = Math.floorMod(x, 16);
|
||||
int fdZ = Math.floorMod(z, 16);
|
||||
return biomeProvider.getBiome(x, y, z, world.getSeed())
|
||||
.getContext()
|
||||
.get(paletteInfoPropertyKey)
|
||||
.slantHolder()
|
||||
.calculateSlant(samplerCache.get(x, z, world, biomeProvider), fdX, y, fdZ);
|
||||
}
|
||||
|
||||
public SamplerProvider samplerProvider() {
|
||||
return samplerCache;
|
||||
}
|
||||
|
||||
+8
-25
@@ -7,40 +7,23 @@
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.generation.math;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public final class PaletteUtil {
|
||||
/**
|
||||
* Derivative constant.
|
||||
*/
|
||||
private static final double DERIVATIVE_DIST = 0.55;
|
||||
|
||||
public static Palette getPalette(int x, int y, int z, Sampler3D sampler, PaletteInfo paletteInfo, int depth) {
|
||||
SlantHolder slant = paletteInfo.slantHolder();
|
||||
if(!slant.isEmpty() && depth <= paletteInfo.maxSlantDepth()) {
|
||||
double slope = derivative(sampler, x, y, z);
|
||||
if(slope > slant.getMinSlope()) {
|
||||
return slant.getPalette(slope).getPalette(y);
|
||||
public static Palette getPalette(int x, int y, int z, Sampler3D sampler, BiomePaletteInfo paletteInfo, int depth) {
|
||||
SlantHolder slantHolder = paletteInfo.slantHolder();
|
||||
if(slantHolder.isAboveDepth(depth)) {
|
||||
double slant = slantHolder.calculateSlant(sampler, x, y, z);
|
||||
if(slantHolder.isInSlantThreshold(slant)) {
|
||||
return slantHolder.getPalette(slant).getPalette(y);
|
||||
}
|
||||
}
|
||||
|
||||
return paletteInfo.paletteHolder().getPalette(y);
|
||||
}
|
||||
|
||||
public static double derivative(Sampler3D 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)));
|
||||
}
|
||||
}
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.api.properties.PropertyKey;
|
||||
import com.dfsek.terra.api.util.Column;
|
||||
@@ -134,7 +132,7 @@ public class ChunkInterpolator {
|
||||
}
|
||||
|
||||
private static int reRange(int value, int high) {
|
||||
return FastMath.max(FastMath.min(value, high), 0);
|
||||
return Math.max(Math.min(value, high), 0);
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -146,7 +144,7 @@ public class ChunkInterpolator {
|
||||
* @return double - The interpolated noise at the coordinates.
|
||||
*/
|
||||
public double getNoise(double x, double y, double z) {
|
||||
return interpGrid[reRange(((int) x) / 4, 3)][(FastMath.max(FastMath.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
|
||||
return interpGrid[reRange(((int) x) / 4, 3)][(Math.max(Math.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
|
||||
3)].trilerp(
|
||||
(x % 4) / 4, (y % 4) / 4, (z % 4) / 4);
|
||||
}
|
||||
|
||||
+4
-6
@@ -1,7 +1,5 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.api.properties.PropertyKey;
|
||||
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
|
||||
@@ -30,8 +28,8 @@ public class LazilyEvaluatedInterpolator {
|
||||
PropertyKey<BiomeNoiseProperties> noisePropertiesKey, int min, int horizontalRes, int verticalRes,
|
||||
long seed) {
|
||||
this.noisePropertiesKey = noisePropertiesKey;
|
||||
int hSamples = FastMath.ceilToInt(16.0 / horizontalRes);
|
||||
int vSamples = FastMath.ceilToInt((double) (max - min) / verticalRes);
|
||||
int hSamples = (int) Math.ceil(16.0 / horizontalRes);
|
||||
int vSamples = (int) Math.ceil((double) (max - min) / verticalRes);
|
||||
this.zMul = (hSamples + 1);
|
||||
this.yMul = zMul * zMul;
|
||||
samples = new Double[yMul * (vSamples + 1)];
|
||||
@@ -52,7 +50,7 @@ public class LazilyEvaluatedInterpolator {
|
||||
int xi = ox + chunkX;
|
||||
int zi = oz + chunkZ;
|
||||
|
||||
int y = FastMath.min(max, oy);
|
||||
int y = Math.min(max, oy);
|
||||
|
||||
sample = biomeProvider
|
||||
.getBiome(xi, y, zi, seed)
|
||||
@@ -93,7 +91,7 @@ public class LazilyEvaluatedInterpolator {
|
||||
return lerp_bottom;
|
||||
}
|
||||
|
||||
double yFrac = (double) FastMath.floorMod(y, verticalRes) / verticalRes;
|
||||
double yFrac = (double) Math.floorMod(y, verticalRes) / verticalRes;
|
||||
|
||||
|
||||
double sample_0_1_0 = sample(xIndex, yIndex + 1, zIndex, x, y + verticalRes, z);
|
||||
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ChunkInterpolator;
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ElevationInterpolator;
|
||||
@@ -28,10 +26,10 @@ public class Sampler3D {
|
||||
}
|
||||
|
||||
public double sample(double x, double y, double z) {
|
||||
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
|
||||
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation((int) Math.round(x), (int) Math.round(z));
|
||||
}
|
||||
|
||||
public double sample(int x, int y, int z) {
|
||||
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
|
||||
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(x, z);
|
||||
}
|
||||
}
|
||||
|
||||
+2
-3
@@ -19,7 +19,6 @@ package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
|
||||
|
||||
import com.github.benmanes.caffeine.cache.Cache;
|
||||
import com.github.benmanes.caffeine.cache.Caffeine;
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
|
||||
import com.dfsek.terra.api.Platform;
|
||||
@@ -45,8 +44,8 @@ public class SamplerProvider {
|
||||
}
|
||||
|
||||
public Sampler3D get(int x, int z, WorldProperties world, BiomeProvider provider) {
|
||||
int cx = FastMath.floorDiv(x, 16);
|
||||
int cz = FastMath.floorDiv(z, 16);
|
||||
int cx = Math.floorDiv(x, 16);
|
||||
int cz = Math.floorDiv(z, 16);
|
||||
return getChunk(cx, cz, world, provider);
|
||||
}
|
||||
|
||||
|
||||
+20
@@ -0,0 +1,20 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
|
||||
import com.dfsek.terra.api.properties.Properties;
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public record BiomePaletteInfo(PaletteHolder paletteHolder,
|
||||
SlantHolder slantHolder,
|
||||
Palette ocean,
|
||||
int seaLevel,
|
||||
boolean updatePaletteWhenCarving) implements Properties {
|
||||
}
|
||||
+44
@@ -7,6 +7,11 @@
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.TreeMap;
|
||||
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
@@ -27,4 +32,43 @@ public class PaletteHolder {
|
||||
: palettes[palettes.length - 1]
|
||||
: palettes[0];
|
||||
}
|
||||
|
||||
public static PaletteHolder of(List<Map<Palette, Integer>> palettes) {
|
||||
PaletteHolderBuilder builder = new PaletteHolderBuilder();
|
||||
for(Map<Palette, Integer> layer : palettes) {
|
||||
for(Entry<Palette, Integer> entry : layer.entrySet()) {
|
||||
builder.add(entry.getValue(), entry.getKey());
|
||||
}
|
||||
}
|
||||
return builder.build();
|
||||
}
|
||||
|
||||
private static class PaletteHolderBuilder {
|
||||
private final TreeMap<Integer, Palette> paletteMap = new TreeMap<>();
|
||||
|
||||
public PaletteHolderBuilder add(int y, Palette palette) {
|
||||
paletteMap.put(y, palette);
|
||||
return this;
|
||||
}
|
||||
|
||||
public PaletteHolder build() {
|
||||
|
||||
int min = Math.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
|
||||
int max = Math.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
|
||||
|
||||
Palette[] palettes = new Palette[paletteMap.lastKey() + 1 - min];
|
||||
for(int y = min; y <= Math.max(paletteMap.lastKey(), max); y++) {
|
||||
Palette d = null;
|
||||
for(Entry<Integer, Palette> e : paletteMap.entrySet()) {
|
||||
if(e.getKey() >= y) {
|
||||
d = e.getValue();
|
||||
break;
|
||||
}
|
||||
}
|
||||
if(d == null) throw new IllegalArgumentException("No palette for Y=" + y);
|
||||
palettes[y - min] = d;
|
||||
}
|
||||
return new PaletteHolder(palettes, -min);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
-45
@@ -1,45 +0,0 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.TreeMap;
|
||||
|
||||
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
|
||||
|
||||
|
||||
public class PaletteHolderBuilder {
|
||||
private final TreeMap<Integer, Palette> paletteMap = new TreeMap<>();
|
||||
|
||||
public PaletteHolderBuilder add(int y, Palette palette) {
|
||||
paletteMap.put(y, palette);
|
||||
return this;
|
||||
}
|
||||
|
||||
public PaletteHolder build() {
|
||||
|
||||
int min = FastMath.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
|
||||
int max = FastMath.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
|
||||
|
||||
Palette[] palettes = new Palette[paletteMap.lastKey() + 1 - min];
|
||||
for(int y = min; y <= FastMath.max(paletteMap.lastKey(), max); y++) {
|
||||
Palette d = null;
|
||||
for(Map.Entry<Integer, Palette> e : paletteMap.entrySet()) {
|
||||
if(e.getKey() >= y) {
|
||||
d = e.getValue();
|
||||
break;
|
||||
}
|
||||
}
|
||||
if(d == null) throw new IllegalArgumentException("No palette for Y=" + y);
|
||||
palettes[y - min] = d;
|
||||
}
|
||||
return new PaletteHolder(palettes, -min);
|
||||
}
|
||||
}
|
||||
-64
@@ -1,64 +0,0 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette;
|
||||
|
||||
|
||||
import java.util.Map.Entry;
|
||||
import java.util.TreeMap;
|
||||
|
||||
|
||||
public class SlantHolder {
|
||||
private final TreeMap<Double, PaletteHolder> layers;
|
||||
private final double minSlope;
|
||||
|
||||
private SlantHolder(TreeMap<Double, PaletteHolder> layers, double minSlope) {
|
||||
this.layers = layers;
|
||||
this.minSlope = minSlope;
|
||||
}
|
||||
|
||||
public static SlantHolder of(TreeMap<Double, PaletteHolder> layers, double minSlope) {
|
||||
if(layers.size() == 1) {
|
||||
Entry<Double, PaletteHolder> firstEntry = layers.firstEntry();
|
||||
return new Single(firstEntry.getValue(), minSlope);
|
||||
}
|
||||
return new SlantHolder(layers, minSlope);
|
||||
}
|
||||
|
||||
public boolean isEmpty() {
|
||||
return layers.isEmpty();
|
||||
}
|
||||
|
||||
public PaletteHolder getPalette(double slope) {
|
||||
return layers.floorEntry(slope).getValue();
|
||||
}
|
||||
|
||||
public double getMinSlope() {
|
||||
return minSlope;
|
||||
}
|
||||
|
||||
private static final class Single extends SlantHolder {
|
||||
|
||||
private final PaletteHolder layers;
|
||||
|
||||
public Single(PaletteHolder layers, double minSlope) {
|
||||
super(of(minSlope, layers), minSlope);
|
||||
this.layers = layers;
|
||||
}
|
||||
|
||||
private static TreeMap<Double, PaletteHolder> of(double v, PaletteHolder layer) {
|
||||
TreeMap<Double, PaletteHolder> map = new TreeMap<>();
|
||||
map.put(v, layer);
|
||||
return map;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PaletteHolder getPalette(double slope) {
|
||||
return layers;
|
||||
}
|
||||
}
|
||||
}
|
||||
+47
@@ -0,0 +1,47 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
|
||||
|
||||
|
||||
import java.util.List;
|
||||
import java.util.NavigableMap;
|
||||
import java.util.TreeMap;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
|
||||
|
||||
public class MultipleSlantHolder extends SlantHolderImpl {
|
||||
private final NavigableMap<Double, PaletteHolder> layers;
|
||||
private final double slantThreshold;
|
||||
|
||||
MultipleSlantHolder(List<SlantHolder.Layer> slant, int slantDepth, CalculationMethod calculationMethod) {
|
||||
super(slantDepth, calculationMethod);
|
||||
NavigableMap<Double, PaletteHolder> layers = new TreeMap<>(slant.stream().collect(Collectors.toMap(SlantHolder.Layer::threshold, SlantHolder.Layer::palette)));
|
||||
Stream<Double> thresholds = layers.keySet().stream();
|
||||
double slantThreshold = floorToThreshold ?
|
||||
thresholds.min(Double::compare).orElseThrow() :
|
||||
thresholds.max(Double::compare).orElseThrow();
|
||||
this.layers = layers;
|
||||
this.slantThreshold = slantThreshold;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double getSlantThreshold() {
|
||||
return slantThreshold;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PaletteHolder getPalette(double slant) {
|
||||
return (floorToThreshold ?
|
||||
layers.floorEntry(slant) :
|
||||
layers.ceilingEntry(slant)
|
||||
).getValue();
|
||||
}
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
|
||||
|
||||
final class SingleSlantHolder extends SlantHolderImpl {
|
||||
|
||||
private final SlantHolder.Layer layer;
|
||||
|
||||
public SingleSlantHolder(SlantHolder.Layer layer, int slantDepth, CalculationMethod calculationMethod) {
|
||||
super(slantDepth, calculationMethod);
|
||||
this.layer = layer;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PaletteHolder getPalette(double slant) {
|
||||
return layer.palette();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double getSlantThreshold() {
|
||||
return layer.threshold();
|
||||
}
|
||||
}
|
||||
+116
@@ -0,0 +1,116 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
|
||||
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
|
||||
import com.dfsek.terra.api.util.vector.Vector3;
|
||||
|
||||
|
||||
public interface SlantHolder {
|
||||
|
||||
static SlantHolder of(List<SlantHolder.Layer> layers, int slantDepth, CalculationMethod calculationMethod) {
|
||||
if(layers.isEmpty()) {
|
||||
return EMPTY;
|
||||
} else if(layers.size() == 1) {
|
||||
return new SingleSlantHolder(layers.get(0), slantDepth, calculationMethod);
|
||||
}
|
||||
return new MultipleSlantHolder(layers, slantDepth, calculationMethod);
|
||||
}
|
||||
|
||||
double calculateSlant(Sampler3D sampler, double x, double y, double z);
|
||||
|
||||
boolean isAboveDepth(int depth);
|
||||
|
||||
boolean isInSlantThreshold(double slant);
|
||||
|
||||
PaletteHolder getPalette(double slant);
|
||||
|
||||
record Layer(PaletteHolder palette, double threshold) {
|
||||
}
|
||||
|
||||
enum CalculationMethod {
|
||||
DotProduct {
|
||||
private static final Vector3 DOT_PRODUCT_DIRECTION = Vector3.of(0, 1, 0);
|
||||
|
||||
private static final Vector3[] DOT_PRODUCT_SAMPLE_POINTS = {
|
||||
Vector3.of(0, 0, -DERIVATIVE_DIST),
|
||||
Vector3.of(0, 0, DERIVATIVE_DIST),
|
||||
Vector3.of(0, -DERIVATIVE_DIST, 0),
|
||||
Vector3.of(0, DERIVATIVE_DIST, 0),
|
||||
Vector3.of(-DERIVATIVE_DIST, 0, 0),
|
||||
Vector3.of(DERIVATIVE_DIST, 0, 0)
|
||||
};
|
||||
|
||||
@Override
|
||||
public double slant(Sampler3D sampler, double x, double y, double z) {
|
||||
Vector3.Mutable normalApproximation = Vector3.Mutable.of(0, 0, 0);
|
||||
for(Vector3 point : DOT_PRODUCT_SAMPLE_POINTS) {
|
||||
var scalar = -sampler.sample(x+point.getX(), y+point.getY(), z+point.getZ());
|
||||
normalApproximation.add(point.mutable().multiply(scalar));
|
||||
}
|
||||
return DOT_PRODUCT_DIRECTION.dot(normalApproximation.normalize());
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean floorToThreshold() {
|
||||
return false;
|
||||
}
|
||||
},
|
||||
|
||||
Derivative {
|
||||
@Override
|
||||
public double slant(Sampler3D 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)));
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean floorToThreshold() {
|
||||
return true;
|
||||
}
|
||||
};
|
||||
|
||||
private static final double DERIVATIVE_DIST = 0.55;
|
||||
|
||||
public abstract double slant(Sampler3D sampler, double x, double y, double z);
|
||||
|
||||
/*
|
||||
* Controls whether palettes should be applied before or after their respective thresholds.
|
||||
*
|
||||
* If true, slant values will map to the palette of the next floor threshold, otherwise they
|
||||
* will map to the ceiling.
|
||||
*/
|
||||
public abstract boolean floorToThreshold();
|
||||
}
|
||||
|
||||
SlantHolder EMPTY = new SlantHolder() {
|
||||
@Override
|
||||
public double calculateSlant(Sampler3D sampler, double x, double y, double z) {
|
||||
throw new UnsupportedOperationException("Empty holder should not calculate slant");
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean isAboveDepth(int depth) {
|
||||
return false;
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean isInSlantThreshold(double slant) {
|
||||
return false;
|
||||
}
|
||||
|
||||
@Override
|
||||
public PaletteHolder getPalette(double slant) {
|
||||
throw new UnsupportedOperationException("Empty holder cannot return a palette");
|
||||
}
|
||||
};
|
||||
}
|
||||
+38
@@ -0,0 +1,38 @@
|
||||
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
|
||||
|
||||
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
|
||||
|
||||
|
||||
public abstract class SlantHolderImpl implements SlantHolder {
|
||||
private final SlantHolder.CalculationMethod calculationMethod;
|
||||
|
||||
private final int slantDepth;
|
||||
|
||||
protected final boolean floorToThreshold;
|
||||
|
||||
protected SlantHolderImpl(int slantDepth, CalculationMethod calculationMethod) {
|
||||
this.floorToThreshold = calculationMethod.floorToThreshold();
|
||||
this.calculationMethod = calculationMethod;
|
||||
this.slantDepth = slantDepth;
|
||||
}
|
||||
|
||||
protected abstract double getSlantThreshold();
|
||||
|
||||
@Override
|
||||
public final double calculateSlant(Sampler3D sampler, double x, double y, double z) {
|
||||
return calculationMethod.slant(sampler, x, y, z);
|
||||
}
|
||||
|
||||
@Override
|
||||
public final boolean isAboveDepth(int depth) {
|
||||
return depth <= slantDepth;
|
||||
}
|
||||
|
||||
@Override
|
||||
public final boolean isInSlantThreshold(double slant) {
|
||||
return (floorToThreshold ?
|
||||
slant > getSlantThreshold() :
|
||||
slant < getSlantThreshold()
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -2,11 +2,4 @@ version = version("1.0.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.feature.distributor.lib.jafama")
|
||||
}
|
||||
+3
-14
@@ -1,7 +1,5 @@
|
||||
package com.dfsek.terra.addons.feature.distributor.distributors;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.Random;
|
||||
|
||||
import com.dfsek.terra.api.structure.feature.Distributor;
|
||||
@@ -21,21 +19,12 @@ public class PaddedGridDistributor implements Distributor {
|
||||
this.cellWidth = width + padding;
|
||||
}
|
||||
|
||||
private static long murmur64(long h) {
|
||||
h ^= h >>> 33;
|
||||
h *= 0xff51afd7ed558ccdL;
|
||||
h ^= h >>> 33;
|
||||
h *= 0xc4ceb9fe1a85ec53L;
|
||||
h ^= h >>> 33;
|
||||
return h;
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean matches(int x, int z, long seed) {
|
||||
int cellX = FastMath.floorDiv(x, cellWidth);
|
||||
int cellZ = FastMath.floorDiv(z, cellWidth);
|
||||
int cellX = Math.floorDiv(x, cellWidth);
|
||||
int cellZ = Math.floorDiv(z, cellWidth);
|
||||
|
||||
Random random = new Random((murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
|
||||
Random random = new Random((MathUtil.murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
|
||||
|
||||
int pointX = random.nextInt(width) + cellX * cellWidth;
|
||||
int pointZ = random.nextInt(width) + cellZ * cellWidth;
|
||||
|
||||
@@ -2,10 +2,4 @@ version = version("1.0.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.flora.lib.jafama")
|
||||
}
|
||||
|
||||
+3
-5
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.flora.flora.gen;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.EnumSet;
|
||||
import java.util.List;
|
||||
@@ -60,7 +58,7 @@ public class TerraFlora implements Structure {
|
||||
}
|
||||
|
||||
private ProbabilityCollection<BlockState> getStateCollection(int layer) {
|
||||
return layers.get(FastMath.max(FastMath.min(layer, layers.size() - 1), 0));
|
||||
return layers.get(Math.max(Math.min(layer, layers.size() - 1), 0));
|
||||
}
|
||||
|
||||
private EnumSet<Direction> getFaces(Vector3Int b, WritableWorld world) {
|
||||
@@ -82,8 +80,8 @@ public class TerraFlora implements Structure {
|
||||
Direction.class);
|
||||
if(doRotation && faces.size() == 0) return false; // Don't plant if no faces are valid.
|
||||
|
||||
for(int i = 0; FastMath.abs(i) < size; i += c) { // Down if ceiling, up if floor
|
||||
int lvl = (FastMath.abs(i));
|
||||
for(int i = 0; Math.abs(i) < size; i += c) { // Down if ceiling, up if floor
|
||||
int lvl = (Math.abs(i));
|
||||
BlockState data = getStateCollection((ceiling ? lvl : size - lvl - 1)).get(distribution, location.getX(), location.getY(),
|
||||
location.getZ(), world.getSeed());
|
||||
if(doRotation) {
|
||||
|
||||
@@ -2,11 +2,4 @@ version = version("1.1.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.feature.locator.lib.jafama")
|
||||
}
|
||||
}
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.feature.locator.locators;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.feature.locator.patterns.Pattern;
|
||||
import com.dfsek.terra.api.structure.feature.BinaryColumn;
|
||||
import com.dfsek.terra.api.structure.feature.Locator;
|
||||
@@ -27,8 +25,8 @@ public class PatternLocator implements Locator {
|
||||
|
||||
@Override
|
||||
public BinaryColumn getSuitableCoordinates(Column<?> column) {
|
||||
int min = FastMath.max(column.getMinY(), search.getMin());
|
||||
int max = FastMath.min(column.getMaxY(), search.getMax());
|
||||
int min = Math.max(column.getMinY(), search.getMin());
|
||||
int max = Math.min(column.getMaxY(), search.getMax());
|
||||
if(min >= max) return BinaryColumn.getNull();
|
||||
return new BinaryColumn(min, max, y -> pattern.matches(y, column));
|
||||
}
|
||||
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.feature.locator.locators;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.structure.feature.BinaryColumn;
|
||||
import com.dfsek.terra.api.structure.feature.Locator;
|
||||
import com.dfsek.terra.api.util.Range;
|
||||
@@ -26,8 +24,8 @@ public class SurfaceLocator implements Locator {
|
||||
@Override
|
||||
public BinaryColumn getSuitableCoordinates(Column<?> column) {
|
||||
BinaryColumnBuilder builder = column.newBinaryColumn();
|
||||
int max = FastMath.min(search.getMax(), column.getMaxY());
|
||||
int min = FastMath.max(search.getMin(), column.getMinY());
|
||||
int max = Math.min(search.getMax(), column.getMaxY());
|
||||
int min = Math.max(search.getMin(), column.getMinY());
|
||||
if(min >= max) return builder.build();
|
||||
for(int y = min; y < max; y++) {
|
||||
if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
|
||||
|
||||
+1
-1
@@ -22,7 +22,7 @@ public class TopLocator implements Locator {
|
||||
|
||||
@Override
|
||||
public BinaryColumn getSuitableCoordinates(Column<?> column) {
|
||||
for(int y : search) {
|
||||
for(int y = search.getMax(); y >= search.getMin(); y--) {
|
||||
if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
|
||||
return new BinaryColumn(y, y + 1, yi -> true);
|
||||
}
|
||||
|
||||
+4
-6
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.feature.locator.patterns;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.util.function.Predicate;
|
||||
|
||||
import com.dfsek.terra.api.block.state.BlockState;
|
||||
@@ -28,8 +26,8 @@ public class MatchPattern implements Pattern {
|
||||
|
||||
@Override
|
||||
public boolean matches(int y, Column<?> column) {
|
||||
int min = FastMath.max(column.getMinY(), range.getMin() + y);
|
||||
int max = FastMath.min(column.getMaxY(), range.getMax() + y);
|
||||
int min = Math.max(column.getMinY(), range.getMin() + y);
|
||||
int max = Math.min(column.getMaxY(), range.getMax() + y);
|
||||
if(max <= min) return false;
|
||||
for(int i = min; i < max; i++) {
|
||||
if(!matches.test(column.getBlock(i))) return false;
|
||||
@@ -39,8 +37,8 @@ public class MatchPattern implements Pattern {
|
||||
|
||||
@Override
|
||||
public boolean matches(WritableWorld world, int x, int y, int z) {
|
||||
int min = FastMath.max(world.getMinHeight(), range.getMin() + y);
|
||||
int max = FastMath.min(world.getMaxHeight(), range.getMax() + y);
|
||||
int min = Math.max(world.getMinHeight(), range.getMin() + y);
|
||||
int max = Math.min(world.getMaxHeight(), range.getMax() + y);
|
||||
if(max <= min) return false;
|
||||
for(int i = min; i < max; i++) {
|
||||
if(!matches.test(world.getBlockState(x, i, z))) return false;
|
||||
|
||||
@@ -1,16 +1,8 @@
|
||||
import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
|
||||
|
||||
version = version("1.0.0")
|
||||
version = version("1.1.0")
|
||||
|
||||
dependencies {
|
||||
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
|
||||
api("com.dfsek", "paralithic", Versions.Libraries.paralithic)
|
||||
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
|
||||
}
|
||||
|
||||
|
||||
tasks.named<ShadowJar>("shadowJar") {
|
||||
relocate("com.dfsek.paralithic", "com.dfsek.terra.addons.noise.lib.paralithic")
|
||||
relocate("net.jafama", "com.dfsek.terra.addons.noise.lib.jafama")
|
||||
}
|
||||
+18
-4
@@ -14,6 +14,7 @@ import java.util.Map;
|
||||
import java.util.function.Supplier;
|
||||
|
||||
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
|
||||
import com.dfsek.terra.addons.noise.config.CubicSplinePointTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.config.templates.BinaryArithmeticTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.DomainWarpTemplate;
|
||||
@@ -21,8 +22,10 @@ import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.ImageSamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.KernelTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.LinearHeightmapSamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.TranslateSamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.CellularNoiseTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.ConstantNoiseTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.DistanceSamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.ExpressionFunctionTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.GaborNoiseTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.SimpleNoiseTemplate;
|
||||
@@ -30,11 +33,14 @@ import com.dfsek.terra.addons.noise.config.templates.noise.fractal.BrownianMotio
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.fractal.PingPongTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.noise.fractal.RidgedFractalTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.ClampNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.CubicSplineNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.ExpressionNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.LinearNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.NormalNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.PosterizationNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.ProbabilityNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.normalizer.ScaleNormalizerTemplate;
|
||||
import com.dfsek.terra.addons.noise.math.CubicSpline;
|
||||
import com.dfsek.terra.addons.noise.samplers.arithmetic.AdditionSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.arithmetic.DivisionSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.arithmetic.MaxSampler;
|
||||
@@ -42,6 +48,7 @@ import com.dfsek.terra.addons.noise.samplers.arithmetic.MinSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.arithmetic.MultiplicationSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.arithmetic.SubtractionSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.CellularSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.random.GaussianNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.random.PositiveWhiteNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
|
||||
@@ -83,8 +90,11 @@ public class NoiseAddon implements AddonInitializer {
|
||||
(type, o, loader, depthTracker) -> CellularSampler.DistanceFunction.valueOf((String) o))
|
||||
.applyLoader(CellularSampler.ReturnType.class,
|
||||
(type, o, loader, depthTracker) -> CellularSampler.ReturnType.valueOf((String) o))
|
||||
.applyLoader(DistanceSampler.DistanceFunction.class,
|
||||
(type, o, loader, depthTracker) -> DistanceSampler.DistanceFunction.valueOf((String) o))
|
||||
.applyLoader(DimensionApplicableNoiseSampler.class, DimensionApplicableNoiseSampler::new)
|
||||
.applyLoader(FunctionTemplate.class, FunctionTemplate::new);
|
||||
.applyLoader(FunctionTemplate.class, FunctionTemplate::new)
|
||||
.applyLoader(CubicSpline.Point.class, CubicSplinePointTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("LINEAR"), LinearNormalizerTemplate::new);
|
||||
noiseRegistry.register(addon.key("NORMAL"), NormalNormalizerTemplate::new);
|
||||
@@ -92,9 +102,10 @@ public class NoiseAddon implements AddonInitializer {
|
||||
noiseRegistry.register(addon.key("PROBABILITY"), ProbabilityNormalizerTemplate::new);
|
||||
noiseRegistry.register(addon.key("SCALE"), ScaleNormalizerTemplate::new);
|
||||
noiseRegistry.register(addon.key("POSTERIZATION"), PosterizationNormalizerTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("CUBIC_SPLINE"), CubicSplineNormalizerTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("IMAGE"), ImageSamplerTemplate::new);
|
||||
|
||||
|
||||
noiseRegistry.register(addon.key("DOMAIN_WARP"), DomainWarpTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("FBM"), BrownianMotionTemplate::new);
|
||||
@@ -116,12 +127,15 @@ public class NoiseAddon implements AddonInitializer {
|
||||
noiseRegistry.register(addon.key("WHITE_NOISE"), () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
|
||||
noiseRegistry.register(addon.key("POSITIVE_WHITE_NOISE"), () -> new SimpleNoiseTemplate(PositiveWhiteNoiseSampler::new));
|
||||
noiseRegistry.register(addon.key("GAUSSIAN"), () -> new SimpleNoiseTemplate(GaussianNoiseSampler::new));
|
||||
|
||||
noiseRegistry.register(addon.key("DISTANCE"), DistanceSamplerTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("CONSTANT"), ConstantNoiseTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("KERNEL"), KernelTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("LINEAR_HEIGHTMAP"), LinearHeightmapSamplerTemplate::new);
|
||||
noiseRegistry.register(addon.key("TRANSLATE"), TranslateSamplerTemplate::new);
|
||||
|
||||
noiseRegistry.register(addon.key("ADD"), () -> new BinaryArithmeticTemplate<>(AdditionSampler::new));
|
||||
noiseRegistry.register(addon.key("SUB"), () -> new BinaryArithmeticTemplate<>(SubtractionSampler::new));
|
||||
@@ -134,7 +148,7 @@ public class NoiseAddon implements AddonInitializer {
|
||||
Map<String, DimensionApplicableNoiseSampler> packSamplers = new LinkedHashMap<>();
|
||||
Map<String, FunctionTemplate> packFunctions = new LinkedHashMap<>();
|
||||
noiseRegistry.register(addon.key("EXPRESSION"), () -> new ExpressionFunctionTemplate(packSamplers, packFunctions));
|
||||
|
||||
noiseRegistry.register(addon.key("EXPRESSION_NORMALIZER"), () -> new ExpressionNormalizerTemplate(packSamplers, packFunctions));
|
||||
|
||||
NoiseConfigPackTemplate template = event.loadTemplate(new NoiseConfigPackTemplate());
|
||||
packSamplers.putAll(template.getSamplers());
|
||||
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
package com.dfsek.terra.addons.noise.config;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
|
||||
|
||||
import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
|
||||
|
||||
public class CubicSplinePointTemplate implements ObjectTemplate<Point> {
|
||||
|
||||
@Value("from")
|
||||
private @Meta double from;
|
||||
|
||||
@Value("to")
|
||||
private @Meta double to;
|
||||
|
||||
@Value("gradient")
|
||||
private @Meta double gradient;
|
||||
|
||||
@Override
|
||||
public Point get() {
|
||||
return new Point(from, to, gradient);
|
||||
}
|
||||
}
|
||||
+12
@@ -8,6 +8,8 @@
|
||||
package com.dfsek.terra.addons.noise.config.templates;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.awt.image.BufferedImage;
|
||||
|
||||
@@ -19,6 +21,10 @@ import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
@SuppressWarnings({ "unused", "FieldMayBeFinal" })
|
||||
public class ImageSamplerTemplate extends SamplerTemplate<ImageSampler> {
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(ImageSamplerTemplate.class);
|
||||
|
||||
private static boolean used = false;
|
||||
|
||||
@Value("image")
|
||||
private @Meta BufferedImage image;
|
||||
|
||||
@@ -30,6 +36,12 @@ public class ImageSamplerTemplate extends SamplerTemplate<ImageSampler> {
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
if(!used) {
|
||||
logger.warn("The IMAGE NoiseSampler implemented by the config-noise-function addon is deprecated. " +
|
||||
"It is recommended to use the IMAGE NoiseSampler implemented by the config-noise-image " +
|
||||
"addon instead.");
|
||||
used = true;
|
||||
}
|
||||
return new ImageSampler(image, channel, frequency);
|
||||
}
|
||||
}
|
||||
|
||||
+4
-3
@@ -4,6 +4,7 @@ import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.noise.samplers.LinearHeightmapSampler;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@@ -11,14 +12,14 @@ import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
public class LinearHeightmapSamplerTemplate extends SamplerTemplate<LinearHeightmapSampler> {
|
||||
@Value("sampler")
|
||||
@Default
|
||||
private NoiseSampler sampler = NoiseSampler.zero();
|
||||
private @Meta NoiseSampler sampler = NoiseSampler.zero();
|
||||
|
||||
@Value("base")
|
||||
private double base;
|
||||
private @Meta double base;
|
||||
|
||||
@Value("scale")
|
||||
@Default
|
||||
private double scale = 1;
|
||||
private @Meta double scale = 1;
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
|
||||
+32
@@ -0,0 +1,32 @@
|
||||
package com.dfsek.terra.addons.noise.config.templates;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.noise.samplers.TranslateSampler;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
public class TranslateSamplerTemplate extends SamplerTemplate<TranslateSampler> {
|
||||
|
||||
@Value("sampler")
|
||||
private NoiseSampler sampler;
|
||||
|
||||
@Value("x")
|
||||
@Default
|
||||
private @Meta double x = 0;
|
||||
|
||||
@Value("y")
|
||||
@Default
|
||||
private @Meta double y = 0;
|
||||
|
||||
@Value("z")
|
||||
@Default
|
||||
private @Meta double z = 0;
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
return new TranslateSampler(sampler, x, y ,z);
|
||||
}
|
||||
}
|
||||
+42
@@ -0,0 +1,42 @@
|
||||
package com.dfsek.terra.addons.noise.config.templates.noise;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler.DistanceFunction;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
|
||||
|
||||
public class DistanceSamplerTemplate extends SamplerTemplate<DistanceSampler> {
|
||||
|
||||
@Value("distance-function")
|
||||
@Default
|
||||
private DistanceSampler.@Meta DistanceFunction distanceFunction = DistanceFunction.Euclidean;
|
||||
|
||||
@Value("point.x")
|
||||
@Default
|
||||
private @Meta double x = 0;
|
||||
|
||||
@Value("point.y")
|
||||
@Default
|
||||
private @Meta double y = 0;
|
||||
|
||||
@Value("point.z")
|
||||
@Default
|
||||
private @Meta double z = 0;
|
||||
|
||||
@Value("normalize")
|
||||
@Default
|
||||
private @Meta boolean normalize = false;
|
||||
|
||||
@Value("radius")
|
||||
@Default
|
||||
private @Meta double normalizeRadius = 100;
|
||||
|
||||
@Override
|
||||
public DistanceSampler get() {
|
||||
return new DistanceSampler(distanceFunction, x, y, z, normalize, normalizeRadius);
|
||||
}
|
||||
}
|
||||
+9
-36
@@ -8,7 +8,6 @@
|
||||
package com.dfsek.terra.addons.noise.config.templates.noise;
|
||||
|
||||
import com.dfsek.paralithic.eval.tokenizer.ParseException;
|
||||
import com.dfsek.paralithic.functions.Function;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
@@ -19,17 +18,16 @@ import java.util.Map;
|
||||
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
|
||||
import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
|
||||
import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
|
||||
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
|
||||
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.ExpressionFunction;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
|
||||
|
||||
|
||||
@SuppressWarnings({ "FieldMayBeFinal", "unused" })
|
||||
public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFunction> {
|
||||
private final Map<String, DimensionApplicableNoiseSampler> otherFunctions;
|
||||
private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
|
||||
private final Map<String, FunctionTemplate> globalFunctions;
|
||||
@Value("variables")
|
||||
@Default
|
||||
@@ -43,44 +41,19 @@ public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFuncti
|
||||
@Default
|
||||
private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
|
||||
|
||||
public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> otherFunctions, Map<String, FunctionTemplate> samplers) {
|
||||
this.otherFunctions = otherFunctions;
|
||||
this.globalFunctions = samplers;
|
||||
public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
|
||||
this.globalSamplers = globalSamplers;
|
||||
this.globalFunctions = globalFunctions;
|
||||
}
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
|
||||
var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
|
||||
try {
|
||||
Map<String, Function> noiseFunctionMap = generateFunctions();
|
||||
return new ExpressionFunction(noiseFunctionMap, expression, vars);
|
||||
return new ExpressionFunction(convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
|
||||
} catch(ParseException e) {
|
||||
throw new RuntimeException("Failed to parse expression.", e);
|
||||
}
|
||||
}
|
||||
|
||||
private Map<String, Function> generateFunctions() throws ParseException {
|
||||
Map<String, Function> noiseFunctionMap = new HashMap<>();
|
||||
|
||||
for(Map.Entry<String, FunctionTemplate> entry : globalFunctions.entrySet()) {
|
||||
noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
|
||||
}
|
||||
|
||||
for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
|
||||
noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
|
||||
}
|
||||
|
||||
otherFunctions.forEach((id, function) -> {
|
||||
if(function.getDimensions() == 2) {
|
||||
noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
|
||||
} else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
|
||||
});
|
||||
|
||||
samplers.forEach((id, function) -> {
|
||||
if(function.getDimensions() == 2) {
|
||||
noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
|
||||
} else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
|
||||
});
|
||||
|
||||
return noiseFunctionMap;
|
||||
}
|
||||
}
|
||||
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
package com.dfsek.terra.addons.noise.config.templates.normalizer;
|
||||
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
import com.dfsek.terra.addons.noise.math.CubicSpline;
|
||||
import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
|
||||
import com.dfsek.terra.addons.noise.normalizer.CubicSplineNoiseSampler;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
public class CubicSplineNormalizerTemplate extends NormalizerTemplate<CubicSplineNoiseSampler> {
|
||||
|
||||
@Value("points")
|
||||
private @Meta List<@Meta Point> points;
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
return new CubicSplineNoiseSampler(function, new CubicSpline(points));
|
||||
}
|
||||
}
|
||||
+63
@@ -0,0 +1,63 @@
|
||||
/*
|
||||
* Copyright (c) 2020-2021 Polyhedral Development
|
||||
*
|
||||
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
|
||||
* reference the LICENSE file in this module's root directory.
|
||||
*/
|
||||
|
||||
package com.dfsek.terra.addons.noise.config.templates.normalizer;
|
||||
|
||||
import com.dfsek.paralithic.eval.tokenizer.ParseException;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Default;
|
||||
import com.dfsek.tectonic.api.config.template.annotations.Value;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
|
||||
import com.dfsek.terra.addons.noise.normalizer.ExpressionNormalizer;
|
||||
import com.dfsek.terra.api.config.meta.Meta;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
|
||||
|
||||
|
||||
@SuppressWarnings({ "unused", "FieldMayBeFinal" })
|
||||
public class ExpressionNormalizerTemplate extends NormalizerTemplate<ExpressionNormalizer> {
|
||||
|
||||
private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
|
||||
private final Map<String, FunctionTemplate> globalFunctions;
|
||||
|
||||
@Value("expression")
|
||||
private @Meta String expression;
|
||||
|
||||
@Value("variables")
|
||||
@Default
|
||||
private @Meta Map<String, @Meta Double> vars = new HashMap<>();
|
||||
|
||||
@Value("samplers")
|
||||
@Default
|
||||
private @Meta LinkedHashMap<String, @Meta DimensionApplicableNoiseSampler> samplers = new LinkedHashMap<>();
|
||||
|
||||
@Value("functions")
|
||||
@Default
|
||||
private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
|
||||
|
||||
public ExpressionNormalizerTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
|
||||
this.globalSamplers = globalSamplers;
|
||||
this.globalFunctions = globalFunctions;
|
||||
}
|
||||
|
||||
@Override
|
||||
public NoiseSampler get() {
|
||||
var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
|
||||
var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
|
||||
try {
|
||||
return new ExpressionNormalizer(function, convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
|
||||
} catch(ParseException e) {
|
||||
throw new RuntimeException("Failed to parse expression.", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
+87
@@ -0,0 +1,87 @@
|
||||
package com.dfsek.terra.addons.noise.math;
|
||||
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
|
||||
import static com.dfsek.terra.api.util.MathUtil.lerp;
|
||||
|
||||
|
||||
public class CubicSpline {
|
||||
|
||||
private final double[] fromValues;
|
||||
private final double[] toValues;
|
||||
private final double[] gradients;
|
||||
|
||||
public CubicSpline(List<Point> points) {
|
||||
Collections.sort(points);
|
||||
|
||||
this.fromValues = new double[points.size()];
|
||||
this.toValues = new double[points.size()];
|
||||
this.gradients = new double[points.size()];
|
||||
|
||||
for(int i = 0; i < points.size(); i++) {
|
||||
fromValues[i] = points.get(i).from;
|
||||
toValues[i] = points.get(i).to;
|
||||
gradients[i] = points.get(i).gradient;
|
||||
}
|
||||
}
|
||||
|
||||
public double apply(double in) {
|
||||
return calculate(in, fromValues, toValues, gradients);
|
||||
}
|
||||
|
||||
public static double calculate(double in, double[] fromValues, double[] toValues, double[] gradients) {
|
||||
int pointIdx = floorBinarySearch(in, fromValues) - 1;
|
||||
|
||||
int pointIdxLast = fromValues.length - 1;
|
||||
|
||||
if (pointIdx < 0) { // If to left of first point return linear function intersecting said point using point's gradient
|
||||
return gradients[0] * (in - fromValues[0]) + toValues[0];
|
||||
} else if (pointIdx == pointIdxLast) { // Do same if to right of last point
|
||||
return gradients[pointIdxLast] * (in - fromValues[pointIdxLast]) + toValues[pointIdxLast];
|
||||
} else {
|
||||
double fromLeft = fromValues[pointIdx];
|
||||
double fromRight = fromValues[pointIdx + 1];
|
||||
|
||||
double toLeft = toValues[pointIdx];
|
||||
double toRight = toValues[pointIdx + 1];
|
||||
|
||||
double gradientLeft = gradients[pointIdx];
|
||||
double gradientRight = gradients[pointIdx + 1];
|
||||
|
||||
double fromDelta = fromRight - fromLeft;
|
||||
double toDelta = toRight - toLeft;
|
||||
|
||||
double t = (in - fromLeft) / fromDelta;
|
||||
|
||||
return lerp(t, toLeft, toRight) + t * (1.0F - t) * lerp(t, gradientLeft * fromDelta - toDelta, -gradientRight * fromDelta + toDelta);
|
||||
}
|
||||
}
|
||||
|
||||
private static int floorBinarySearch(double targetValue, double[] values) {
|
||||
int left = 0;
|
||||
int right = values.length;
|
||||
int idx = right - left;
|
||||
while (idx > 0) {
|
||||
int halfDelta = idx / 2;
|
||||
int mid = left + halfDelta;
|
||||
if (targetValue < values[mid]) {
|
||||
idx = halfDelta;
|
||||
} else {
|
||||
left = mid + 1;
|
||||
idx -= halfDelta + 1;
|
||||
}
|
||||
}
|
||||
return left;
|
||||
}
|
||||
|
||||
public record Point(double from, double to, double gradient) implements Comparable<Point> {
|
||||
|
||||
@Override
|
||||
public int compareTo(@NotNull CubicSpline.Point o) {
|
||||
return Double.compare(from, o.from);
|
||||
}
|
||||
}
|
||||
}
|
||||
+1
-3
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.normalizer;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@@ -24,6 +22,6 @@ public class ClampNormalizer extends Normalizer {
|
||||
|
||||
@Override
|
||||
public double normalize(double in) {
|
||||
return FastMath.max(FastMath.min(in, max), min);
|
||||
return Math.max(Math.min(in, max), min);
|
||||
}
|
||||
}
|
||||
|
||||
+20
@@ -0,0 +1,20 @@
|
||||
package com.dfsek.terra.addons.noise.normalizer;
|
||||
|
||||
import com.dfsek.terra.addons.noise.math.CubicSpline;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
public class CubicSplineNoiseSampler extends Normalizer {
|
||||
|
||||
private final CubicSpline spline;
|
||||
|
||||
public CubicSplineNoiseSampler(NoiseSampler sampler, CubicSpline spline) {
|
||||
super(sampler);
|
||||
this.spline = spline;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double normalize(double in) {
|
||||
return spline.apply(in);
|
||||
}
|
||||
}
|
||||
+33
@@ -0,0 +1,33 @@
|
||||
package com.dfsek.terra.addons.noise.normalizer;
|
||||
|
||||
import com.dfsek.paralithic.Expression;
|
||||
import com.dfsek.paralithic.eval.parser.Parser;
|
||||
import com.dfsek.paralithic.eval.parser.Scope;
|
||||
import com.dfsek.paralithic.eval.tokenizer.ParseException;
|
||||
import com.dfsek.paralithic.functions.Function;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
public class ExpressionNormalizer extends Normalizer {
|
||||
|
||||
private final Expression expression;
|
||||
|
||||
public ExpressionNormalizer(NoiseSampler sampler, Map<String, Function> functions, String eq, Map<String, Double> vars)
|
||||
throws ParseException {
|
||||
super(sampler);
|
||||
Parser p = new Parser();
|
||||
Scope scope = new Scope();
|
||||
scope.addInvocationVariable("in");
|
||||
vars.forEach(scope::create);
|
||||
functions.forEach(p::registerFunction);
|
||||
expression = p.parse(eq, scope);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double normalize(double in) {
|
||||
return expression.evaluate(in);
|
||||
}
|
||||
}
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.normalizer;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
@@ -41,8 +39,8 @@ public class NormalNormalizer extends Normalizer {
|
||||
end = mid;
|
||||
}
|
||||
}
|
||||
double left = FastMath.abs(lookup[start] - in);
|
||||
double right = FastMath.abs(lookup[end] - in);
|
||||
double left = Math.abs(lookup[start] - in);
|
||||
double right = Math.abs(lookup[end] - in);
|
||||
|
||||
double fin;
|
||||
if(left <= right) {
|
||||
|
||||
+1
-3
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.normalizer;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@@ -22,6 +20,6 @@ public class PosterizationNormalizer extends Normalizer {
|
||||
|
||||
@Override
|
||||
public double normalize(double in) {
|
||||
return FastMath.roundToInt((in + 1) / stepSize) * stepSize - 1;
|
||||
return (int) Math.round((in + 1) / stepSize) * stepSize - 1;
|
||||
}
|
||||
}
|
||||
|
||||
+31
@@ -0,0 +1,31 @@
|
||||
package com.dfsek.terra.addons.noise.paralithic;
|
||||
|
||||
import com.dfsek.paralithic.eval.tokenizer.ParseException;
|
||||
import com.dfsek.paralithic.functions.Function;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
|
||||
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
|
||||
import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
|
||||
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
|
||||
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
|
||||
|
||||
|
||||
public class FunctionUtil {
|
||||
private FunctionUtil() {}
|
||||
|
||||
public static Map<String, Function> convertFunctionsAndSamplers(Map<String, FunctionTemplate> functions,
|
||||
Map<String, DimensionApplicableNoiseSampler> samplers) throws ParseException {
|
||||
Map<String, Function> functionMap = new HashMap<>();
|
||||
for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
|
||||
functionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
|
||||
}
|
||||
samplers.forEach((id, sampler) -> functionMap.put(id,
|
||||
sampler.getDimensions() == 2 ?
|
||||
new NoiseFunction2(sampler.getSampler()) :
|
||||
new NoiseFunction3(sampler.getSampler())));
|
||||
return functionMap;
|
||||
}
|
||||
}
|
||||
+2
-4
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import java.awt.image.BufferedImage;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
@@ -28,8 +26,8 @@ public class ImageSampler implements NoiseSampler {
|
||||
|
||||
@Override
|
||||
public double noise(long seed, double x, double y) {
|
||||
return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()),
|
||||
FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) *
|
||||
return ((channel.getChannel(image.getRGB(Math.floorMod((int) Math.floor(x * frequency), image.getWidth()),
|
||||
Math.floorMod((int) Math.floor(y * frequency), image.getHeight()))) / 255D) - 0.5) *
|
||||
2;
|
||||
}
|
||||
|
||||
|
||||
+27
@@ -0,0 +1,27 @@
|
||||
package com.dfsek.terra.addons.noise.samplers;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
public class TranslateSampler implements NoiseSampler {
|
||||
|
||||
private final NoiseSampler sampler;
|
||||
private final double dx, dy, dz;
|
||||
|
||||
public TranslateSampler(NoiseSampler sampler, double dx, double dy, double dz) {
|
||||
this.sampler = sampler;
|
||||
this.dx = dx;
|
||||
this.dy = dy;
|
||||
this.dz = dz;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double noise(long seed, double x, double y) {
|
||||
return sampler.noise(seed, x - dx, y - dz);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double noise(long seed, double x, double y, double z) {
|
||||
return sampler.noise(seed, x - dx, y - dy, z - dz);
|
||||
}
|
||||
}
|
||||
+1
-3
@@ -1,7 +1,5 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.arithmetic;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@@ -12,6 +10,6 @@ public class MaxSampler extends BinaryArithmeticSampler {
|
||||
|
||||
@Override
|
||||
public double operate(double left, double right) {
|
||||
return FastMath.max(left, right);
|
||||
return Math.max(left, right);
|
||||
}
|
||||
}
|
||||
|
||||
+1
-3
@@ -1,7 +1,5 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.arithmetic;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@@ -12,6 +10,6 @@ public class MinSampler extends BinaryArithmeticSampler {
|
||||
|
||||
@Override
|
||||
public double operate(double left, double right) {
|
||||
return FastMath.min(left, right);
|
||||
return Math.min(left, right);
|
||||
}
|
||||
}
|
||||
|
||||
+78
-212
@@ -7,8 +7,6 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers.noise;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.simplex.OpenSimplex2Sampler;
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
@@ -223,8 +221,8 @@ public class CellularSampler extends NoiseFunction {
|
||||
@Override
|
||||
public double getNoiseRaw(long sl, double x, double y) {
|
||||
int seed = (int) sl;
|
||||
int xr = fastRound(x);
|
||||
int yr = fastRound(y);
|
||||
int xr = (int) Math.round(x);
|
||||
int yr = (int) Math.round(y);
|
||||
|
||||
double distance0 = Double.MAX_VALUE;
|
||||
double distance1 = Double.MAX_VALUE;
|
||||
@@ -240,105 +238,43 @@ public class CellularSampler extends NoiseFunction {
|
||||
double centerX = x;
|
||||
double centerY = y;
|
||||
|
||||
switch(distanceFunction) {
|
||||
default:
|
||||
case Euclidean:
|
||||
case EuclideanSq:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed);
|
||||
int idx = hash & (255 << 1);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
|
||||
|
||||
double newDistance = vecX * vecX + vecY * vecY;
|
||||
|
||||
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed);
|
||||
int idx = hash & (255 << 1);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
|
||||
|
||||
double newDistance = switch(distanceFunction) {
|
||||
case Manhattan -> Math.abs(vecX) + Math.abs(vecY);
|
||||
case Hybrid -> (Math.abs(vecX) + Math.abs(vecY)) + (vecX * vecX + vecY * vecY);
|
||||
default -> vecX * vecX + vecY * vecY;
|
||||
};
|
||||
|
||||
distance1 = Math.max(Math.min(distance1, newDistance), distance0);
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
break;
|
||||
case Manhattan:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed);
|
||||
int idx = hash & (255 << 1);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
|
||||
|
||||
double newDistance = fastAbs(vecX) + fastAbs(vecY);
|
||||
|
||||
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
break;
|
||||
case Hybrid:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed);
|
||||
int idx = hash & (255 << 1);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
|
||||
|
||||
double newDistance = (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
|
||||
|
||||
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
break;
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
|
||||
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
|
||||
distance0 = fastSqrt(distance0);
|
||||
distance0 = Math.sqrt(distance0);
|
||||
if(returnType != ReturnType.CellValue) {
|
||||
distance1 = fastSqrt(distance1);
|
||||
distance1 = Math.sqrt(distance1);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -351,21 +287,22 @@ public class CellularSampler extends NoiseFunction {
|
||||
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
|
||||
case Distance2Div -> distance0 / distance1 - 1;
|
||||
case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY);
|
||||
case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY);
|
||||
case Distance3 -> distance2 - 1;
|
||||
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
|
||||
case Distance3Sub -> distance2 - distance0 - 1;
|
||||
case Distance3Mul -> distance2 * distance0 - 1;
|
||||
case Distance3Div -> distance0 / distance2 - 1;
|
||||
case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
|
||||
case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
|
||||
};
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getNoiseRaw(long sl, double x, double y, double z) {
|
||||
int seed = (int) sl;
|
||||
int xr = fastRound(x);
|
||||
int yr = fastRound(y);
|
||||
int zr = fastRound(z);
|
||||
int xr = (int) Math.round(x);
|
||||
int yr = (int) Math.round(y);
|
||||
int zr = (int) Math.round(z);
|
||||
|
||||
double distance0 = Double.MAX_VALUE;
|
||||
double distance1 = Double.MAX_VALUE;
|
||||
@@ -382,126 +319,53 @@ public class CellularSampler extends NoiseFunction {
|
||||
double centerY = y;
|
||||
double centerZ = z;
|
||||
|
||||
switch(distanceFunction) {
|
||||
case Euclidean:
|
||||
case EuclideanSq:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int zPrimed = zPrimedBase;
|
||||
|
||||
for(int zi = zr - 1; zi <= zr + 1; zi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
|
||||
int idx = hash & (255 << 2);
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int zPrimed = zPrimedBase;
|
||||
|
||||
for(int zi = zr - 1; zi <= zr + 1; zi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
|
||||
int idx = hash & (255 << 2);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
|
||||
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
|
||||
|
||||
double newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
|
||||
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
|
||||
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
zPrimed += PRIME_Z;
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
break;
|
||||
case Manhattan:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
|
||||
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int zPrimed = zPrimedBase;
|
||||
|
||||
for(int zi = zr - 1; zi <= zr + 1; zi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
|
||||
int idx = hash & (255 << 2);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
|
||||
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
|
||||
|
||||
double newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
|
||||
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
|
||||
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
zPrimed += PRIME_Z;
|
||||
double newDistance = 0;
|
||||
switch(distanceFunction) {
|
||||
case Euclidean, EuclideanSq -> newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
|
||||
case Manhattan -> newDistance = Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ);
|
||||
case Hybrid -> {
|
||||
newDistance = (Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
|
||||
distance1 = Math.max(Math.min(distance1, newDistance), distance0);
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
break;
|
||||
case Hybrid:
|
||||
for(int xi = xr - 1; xi <= xr + 1; xi++) {
|
||||
int yPrimed = yPrimedBase;
|
||||
|
||||
for(int yi = yr - 1; yi <= yr + 1; yi++) {
|
||||
int zPrimed = zPrimedBase;
|
||||
|
||||
for(int zi = zr - 1; zi <= zr + 1; zi++) {
|
||||
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
|
||||
int idx = hash & (255 << 2);
|
||||
|
||||
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
|
||||
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
|
||||
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
|
||||
|
||||
double newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) +
|
||||
(vecX * vecX + vecY * vecY + vecZ * vecZ);
|
||||
|
||||
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
|
||||
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
zPrimed += PRIME_Z;
|
||||
}
|
||||
yPrimed += PRIME_Y;
|
||||
if(newDistance < distance0) {
|
||||
distance0 = newDistance;
|
||||
closestHash = hash;
|
||||
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
|
||||
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
|
||||
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
|
||||
} else if(newDistance < distance1) {
|
||||
distance2 = distance1;
|
||||
distance1 = newDistance;
|
||||
} else if(newDistance < distance2) {
|
||||
distance2 = newDistance;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
zPrimed += PRIME_Z;
|
||||
}
|
||||
break;
|
||||
default:
|
||||
break;
|
||||
yPrimed += PRIME_Y;
|
||||
}
|
||||
xPrimed += PRIME_X;
|
||||
}
|
||||
|
||||
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
|
||||
distance0 = fastSqrt(distance0);
|
||||
distance0 = Math.sqrt(distance0);
|
||||
if(returnType != ReturnType.CellValue) {
|
||||
distance1 = fastSqrt(distance1);
|
||||
distance1 = Math.sqrt(distance1);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -514,12 +378,13 @@ public class CellularSampler extends NoiseFunction {
|
||||
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
|
||||
case Distance2Div -> distance0 / distance1 - 1;
|
||||
case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY, centerZ);
|
||||
case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY, z / frequency - centerZ);
|
||||
case Distance3 -> distance2 - 1;
|
||||
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
|
||||
case Distance3Sub -> distance2 - distance0 - 1;
|
||||
case Distance3Mul -> distance2 * distance0 - 1;
|
||||
case Distance3Div -> distance0 / distance2 - 1;
|
||||
case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
|
||||
case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
|
||||
};
|
||||
}
|
||||
|
||||
@@ -540,6 +405,7 @@ public class CellularSampler extends NoiseFunction {
|
||||
Distance2Mul,
|
||||
Distance2Div,
|
||||
NoiseLookup,
|
||||
LocalNoiseLookup,
|
||||
Distance3,
|
||||
Distance3Add,
|
||||
Distance3Sub,
|
||||
|
||||
+66
@@ -0,0 +1,66 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.noise;
|
||||
|
||||
|
||||
public class DistanceSampler extends NoiseFunction {
|
||||
|
||||
private final DistanceFunction distanceFunction;
|
||||
private final double ox, oy, oz;
|
||||
private final boolean normalize;
|
||||
private final double radius;
|
||||
|
||||
private final double distanceAtRadius;
|
||||
|
||||
public DistanceSampler(DistanceFunction distanceFunction, double ox, double oy, double oz, boolean normalize, double radius) {
|
||||
frequency = 1;
|
||||
this.distanceFunction = distanceFunction;
|
||||
this.ox = ox;
|
||||
this.oy = oy;
|
||||
this.oz = oz;
|
||||
this.normalize = normalize;
|
||||
this.radius = radius;
|
||||
this.distanceAtRadius = distance2d(distanceFunction, radius, 0); // distance2d and distance3d should return the same value
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getNoiseRaw(long seed, double x, double y) {
|
||||
double dx = x - ox;
|
||||
double dy = y - oz;
|
||||
if (normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius)) return 1;
|
||||
double dist = distance2d(distanceFunction, dx, dy);
|
||||
if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
|
||||
return dist;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getNoiseRaw(long seed, double x, double y, double z) {
|
||||
double dx = x - ox;
|
||||
double dy = y - oy;
|
||||
double dz = z - oz;
|
||||
if(normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius || Math.abs(dz) > radius)) return 1;
|
||||
double dist = distance3d(distanceFunction, dx, dy, dz);
|
||||
if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
|
||||
return dist;
|
||||
}
|
||||
|
||||
private static double distance2d(DistanceFunction distanceFunction, double x, double z) {
|
||||
return switch(distanceFunction) {
|
||||
case Euclidean -> Math.sqrt(x*x + z*z);
|
||||
case EuclideanSq -> x*x + z*z;
|
||||
case Manhattan -> Math.abs(x) + Math.abs(z);
|
||||
};
|
||||
}
|
||||
|
||||
private static double distance3d(DistanceFunction distanceFunction, double x, double y, double z) {
|
||||
return switch(distanceFunction) {
|
||||
case Euclidean -> Math.sqrt(x*x + y*y + z*z);
|
||||
case EuclideanSq -> x*x + y*y + z*z;
|
||||
case Manhattan -> Math.abs(x) + Math.abs(y) + Math.abs(z);
|
||||
};
|
||||
}
|
||||
|
||||
public enum DistanceFunction {
|
||||
Euclidean,
|
||||
EuclideanSq,
|
||||
Manhattan
|
||||
}
|
||||
}
|
||||
+9
-10
@@ -7,9 +7,8 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers.noise;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
public class GaborNoiseSampler extends NoiseFunction {
|
||||
@@ -17,11 +16,11 @@ public class GaborNoiseSampler extends NoiseFunction {
|
||||
private double k = 1.0;
|
||||
private double a = 0.1;
|
||||
private double f0 = 0.625;
|
||||
private double kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / a);
|
||||
private double kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / a);
|
||||
private double impulsesPerKernel = 64d;
|
||||
private double impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
|
||||
private double impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
|
||||
private double g = FastMath.exp(-impulsesPerCell);
|
||||
private double g = Math.exp(-impulsesPerCell);
|
||||
|
||||
private double omega0 = Math.PI * 0.25;
|
||||
private boolean isotropic = true;
|
||||
@@ -32,17 +31,17 @@ public class GaborNoiseSampler extends NoiseFunction {
|
||||
}
|
||||
|
||||
private void recalculateRadiusAndDensity() {
|
||||
kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / this.a);
|
||||
kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / this.a);
|
||||
impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
|
||||
impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
|
||||
g = FastMath.exp(-impulsesPerCell);
|
||||
g = Math.exp(-impulsesPerCell);
|
||||
}
|
||||
|
||||
private double gaborNoise(long seed, double x, double y) {
|
||||
x /= kernelRadius;
|
||||
y /= kernelRadius;
|
||||
int xi = fastFloor(x);
|
||||
int yi = fastFloor(y);
|
||||
int xi = (int) Math.floor(x);
|
||||
int yi = (int) Math.floor(y);
|
||||
double xf = x - xi;
|
||||
double yf = y - yi;
|
||||
double noise = 0;
|
||||
@@ -55,7 +54,7 @@ public class GaborNoiseSampler extends NoiseFunction {
|
||||
}
|
||||
|
||||
private double calculateCell(long seed, int xi, int yi, double x, double y) {
|
||||
long mashedSeed = murmur64(31L * xi + yi) + seed;
|
||||
long mashedSeed = MathUtil.murmur64(31L * xi + yi) + seed;
|
||||
|
||||
double gaussianSource = (rand.getNoiseRaw(mashedSeed++) + 1) / 2;
|
||||
int impulses = 0;
|
||||
@@ -73,7 +72,7 @@ public class GaborNoiseSampler extends NoiseFunction {
|
||||
}
|
||||
|
||||
private double gabor(double omega_0, double x, double y) {
|
||||
return k * (FastMath.exp(-Math.PI * (a * a) * (x * x + y * y)) * fastCos(2 * Math.PI * f0 * (x * fastCos(omega_0) + y * fastSin(
|
||||
return k * (Math.exp(-Math.PI * (a * a) * (x * x + y * y)) * MathUtil.cos(2 * Math.PI * f0 * (x * MathUtil.cos(omega_0) + y * MathUtil.sin(
|
||||
omega_0))));
|
||||
}
|
||||
|
||||
|
||||
+1
-86
@@ -7,25 +7,15 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers.noise;
|
||||
|
||||
import net.jafama.FastMath;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
|
||||
|
||||
@SuppressWarnings("ManualMinMaxCalculation")
|
||||
public abstract class NoiseFunction implements NoiseSampler {
|
||||
// Hashing
|
||||
protected static final int PRIME_X = 501125321;
|
||||
protected static final int PRIME_Y = 1136930381;
|
||||
protected static final int PRIME_Z = 1720413743;
|
||||
static final int precision = 100;
|
||||
static final int modulus = 360 * precision;
|
||||
static final double[] sin = new double[360 * 100]; // lookup table
|
||||
static {
|
||||
for(int i = 0; i < sin.length; i++) {
|
||||
sin[i] = (float) Math.sin((double) (i) / (precision));
|
||||
}
|
||||
}
|
||||
|
||||
protected double frequency = 0.02d;
|
||||
protected long salt;
|
||||
|
||||
@@ -33,10 +23,6 @@ public abstract class NoiseFunction implements NoiseSampler {
|
||||
this.salt = 0;
|
||||
}
|
||||
|
||||
protected static int fastFloor(double f) {
|
||||
return f >= 0 ? (int) f : (int) f - 1;
|
||||
}
|
||||
|
||||
protected static int hash(int seed, int xPrimed, int yPrimed, int zPrimed) {
|
||||
int hash = seed ^ xPrimed ^ yPrimed ^ zPrimed;
|
||||
|
||||
@@ -51,77 +37,6 @@ public abstract class NoiseFunction implements NoiseSampler {
|
||||
return hash;
|
||||
}
|
||||
|
||||
protected static int fastRound(double f) {
|
||||
return f >= 0 ? (int) (f + 0.5f) : (int) (f - 0.5);
|
||||
}
|
||||
|
||||
protected static double lerp(double a, double b, double t) {
|
||||
return a + t * (b - a);
|
||||
}
|
||||
|
||||
protected static double interpHermite(double t) {
|
||||
return t * t * (3 - 2 * t);
|
||||
}
|
||||
|
||||
protected static double interpQuintic(double t) {
|
||||
return t * t * t * (t * (t * 6 - 15) + 10);
|
||||
}
|
||||
|
||||
protected static double cubicLerp(double a, double b, double c, double d, double t) {
|
||||
double p = (d - c) - (a - b);
|
||||
return t * t * t * p + t * t * ((a - b) - p) + t * (c - a) + b;
|
||||
}
|
||||
|
||||
protected static double fastMin(double a, double b) {
|
||||
return a < b ? a : b;
|
||||
}
|
||||
|
||||
protected static double fastMax(double a, double b) {
|
||||
return a > b ? a : b;
|
||||
}
|
||||
|
||||
protected static double fastAbs(double f) {
|
||||
return f < 0 ? -f : f;
|
||||
}
|
||||
|
||||
protected static double fastSqrt(double f) {
|
||||
return FastMath.sqrt(f);
|
||||
}
|
||||
|
||||
protected static int fastCeil(double f) {
|
||||
int i = (int) f;
|
||||
if(i < f) i++;
|
||||
return i;
|
||||
}
|
||||
|
||||
/**
|
||||
* Murmur64 hashing function
|
||||
*
|
||||
* @param h Input value
|
||||
*
|
||||
* @return Hashed value
|
||||
*/
|
||||
protected static long murmur64(long h) {
|
||||
h ^= h >>> 33;
|
||||
h *= 0xff51afd7ed558ccdL;
|
||||
h ^= h >>> 33;
|
||||
h *= 0xc4ceb9fe1a85ec53L;
|
||||
h ^= h >>> 33;
|
||||
return h;
|
||||
}
|
||||
|
||||
protected static double fastSin(double a) {
|
||||
return sinLookup((int) (a * precision + 0.5f));
|
||||
}
|
||||
|
||||
protected static double fastCos(double a) {
|
||||
return sinLookup((int) ((a + Math.PI / 2) * precision + 0.5f));
|
||||
}
|
||||
|
||||
private static double sinLookup(int a) {
|
||||
return a >= 0 ? sin[a % (modulus)] : -sin[-a % (modulus)];
|
||||
}
|
||||
|
||||
public void setSalt(long salt) {
|
||||
this.salt = salt;
|
||||
}
|
||||
|
||||
+3
-2
@@ -8,6 +8,7 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
public class BrownianMotionSampler extends FractalNoiseFunction {
|
||||
@@ -23,7 +24,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = input.noise(seed++, x, y);
|
||||
sum += noise * amp;
|
||||
amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, Math.min(noise + 1, 2) * 0.5, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
@@ -41,7 +42,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = input.noise(seed++, x, y, z);
|
||||
sum += noise * amp;
|
||||
amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, (noise + 1) * 0.5, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
|
||||
+1
-1
@@ -25,7 +25,7 @@ public abstract class FractalNoiseFunction extends NoiseFunction {
|
||||
}
|
||||
|
||||
protected void calculateFractalBounding() {
|
||||
double gain = fastAbs(this.gain);
|
||||
double gain = Math.abs(this.gain);
|
||||
double amp = gain;
|
||||
double ampFractal = 1.0;
|
||||
for(int i = 1; i < octaves; i++) {
|
||||
|
||||
+3
-2
@@ -8,6 +8,7 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
public class PingPongSampler extends FractalNoiseFunction {
|
||||
@@ -35,7 +36,7 @@ public class PingPongSampler extends FractalNoiseFunction {
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = pingPong((input.noise(seed++, x, y) + 1) * pingPongStrength);
|
||||
sum += (noise - 0.5) * 2 * amp;
|
||||
amp *= lerp(1.0, noise, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, noise, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
@@ -53,7 +54,7 @@ public class PingPongSampler extends FractalNoiseFunction {
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = pingPong((input.noise(seed++, x, y, z) + 1) * pingPongStrength);
|
||||
sum += (noise - 0.5) * 2 * amp;
|
||||
amp *= lerp(1.0, noise, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, noise, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
|
||||
+5
-4
@@ -8,6 +8,7 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
|
||||
|
||||
import com.dfsek.terra.api.noise.NoiseSampler;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
public class RidgedFractalSampler extends FractalNoiseFunction {
|
||||
@@ -22,9 +23,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
|
||||
double amp = fractalBounding;
|
||||
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = fastAbs(input.noise(seed++, x, y));
|
||||
double noise = Math.abs(input.noise(seed++, x, y));
|
||||
sum += (noise * -2 + 1) * amp;
|
||||
amp *= lerp(1.0, 1 - noise, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
@@ -40,9 +41,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
|
||||
double amp = fractalBounding;
|
||||
|
||||
for(int i = 0; i < octaves; i++) {
|
||||
double noise = fastAbs(input.noise(seed++, x, y, z));
|
||||
double noise = Math.abs(input.noise(seed++, x, y, z));
|
||||
sum += (noise * -2 + 1) * amp;
|
||||
amp *= lerp(1.0, 1 - noise, weightedStrength);
|
||||
amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
|
||||
|
||||
x *= lacunarity;
|
||||
y *= lacunarity;
|
||||
|
||||
+4
-1
@@ -7,6 +7,9 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.random;
|
||||
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
/**
|
||||
* NoiseSampler implementation to produce random, uniformly distributed (white) noise.
|
||||
*/
|
||||
@@ -15,7 +18,7 @@ public class PositiveWhiteNoiseSampler extends WhiteNoiseSampler {
|
||||
// Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
|
||||
|
||||
public double getNoiseRaw(long seed) {
|
||||
return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
|
||||
return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
|
||||
}
|
||||
|
||||
@Override
|
||||
|
||||
+4
-3
@@ -8,6 +8,7 @@
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.random;
|
||||
|
||||
import com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction;
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
/**
|
||||
@@ -24,18 +25,18 @@ public class WhiteNoiseSampler extends NoiseFunction {
|
||||
long hashX = Double.doubleToRawLongBits(x) ^ seed;
|
||||
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
|
||||
long hash = (((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed) + Double.doubleToRawLongBits(z);
|
||||
return murmur64(hash);
|
||||
return MathUtil.murmur64(hash);
|
||||
}
|
||||
|
||||
public long randomBits(long seed, double x, double y) {
|
||||
long hashX = Double.doubleToRawLongBits(x) ^ seed;
|
||||
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
|
||||
long hash = ((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed;
|
||||
return murmur64(hash);
|
||||
return MathUtil.murmur64(hash);
|
||||
}
|
||||
|
||||
public double getNoiseRaw(long seed) {
|
||||
return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
|
||||
return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
|
||||
}
|
||||
|
||||
@Override
|
||||
|
||||
+5
-5
@@ -26,8 +26,8 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
|
||||
y += s;
|
||||
|
||||
|
||||
int i = fastFloor(x);
|
||||
int j = fastFloor(y);
|
||||
int i = (int) Math.floor(x);
|
||||
int j = (int) Math.floor(y);
|
||||
double xi = x - i;
|
||||
double yi = y - j;
|
||||
|
||||
@@ -131,9 +131,9 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
|
||||
z = r - z;
|
||||
|
||||
|
||||
int i = fastFloor(x);
|
||||
int j = fastFloor(y);
|
||||
int k = fastFloor(z);
|
||||
int i = (int) Math.floor(x);
|
||||
int j = (int) Math.floor(y);
|
||||
int k = (int) Math.floor(z);
|
||||
double xi = x - i;
|
||||
double yi = y - j;
|
||||
double zi = z - k;
|
||||
|
||||
+5
-5
@@ -25,8 +25,8 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
|
||||
y += s;
|
||||
|
||||
|
||||
int i = fastFloor(x);
|
||||
int j = fastFloor(y);
|
||||
int i = (int) Math.floor(x);
|
||||
int j = (int) Math.floor(y);
|
||||
double xi = x - i;
|
||||
double yi = y - j;
|
||||
|
||||
@@ -85,9 +85,9 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
|
||||
z = r - z;
|
||||
|
||||
|
||||
int i = fastRound(x);
|
||||
int j = fastRound(y);
|
||||
int k = fastRound(z);
|
||||
int i = (int) Math.round(x);
|
||||
int j = (int) Math.round(y);
|
||||
int k = (int) Math.round(z);
|
||||
double x0 = x - i;
|
||||
double y0 = y - j;
|
||||
double z0 = z - k;
|
||||
|
||||
+23
-20
@@ -7,6 +7,9 @@
|
||||
|
||||
package com.dfsek.terra.addons.noise.samplers.noise.simplex;
|
||||
|
||||
import com.dfsek.terra.api.util.MathUtil;
|
||||
|
||||
|
||||
/**
|
||||
* NoiseSampler implementation to provide Perlin Noise.
|
||||
*/
|
||||
@@ -14,34 +17,34 @@ public class PerlinSampler extends SimplexStyleSampler {
|
||||
@Override
|
||||
public double getNoiseRaw(long sl, double x, double y) {
|
||||
int seed = (int) sl;
|
||||
int x0 = fastFloor(x);
|
||||
int y0 = fastFloor(y);
|
||||
int x0 = (int) Math.floor(x);
|
||||
int y0 = (int) Math.floor(y);
|
||||
|
||||
double xd0 = x - x0;
|
||||
double yd0 = y - y0;
|
||||
double xd1 = xd0 - 1;
|
||||
double yd1 = yd0 - 1;
|
||||
|
||||
double xs = interpQuintic(xd0);
|
||||
double ys = interpQuintic(yd0);
|
||||
double xs = MathUtil.interpQuintic(xd0);
|
||||
double ys = MathUtil.interpQuintic(yd0);
|
||||
|
||||
x0 *= PRIME_X;
|
||||
y0 *= PRIME_Y;
|
||||
int x1 = x0 + PRIME_X;
|
||||
int y1 = y0 + PRIME_Y;
|
||||
|
||||
double xf0 = lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
|
||||
double xf1 = lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
|
||||
double xf0 = MathUtil.lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
|
||||
double xf1 = MathUtil.lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
|
||||
|
||||
return lerp(xf0, xf1, ys) * 1.4247691104677813;
|
||||
return MathUtil.lerp(xf0, xf1, ys) * 1.4247691104677813;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getNoiseRaw(long sl, double x, double y, double z) {
|
||||
int seed = (int) sl;
|
||||
int x0 = fastFloor(x);
|
||||
int y0 = fastFloor(y);
|
||||
int z0 = fastFloor(z);
|
||||
int x0 = (int) Math.floor(x);
|
||||
int y0 = (int) Math.floor(y);
|
||||
int z0 = (int) Math.floor(z);
|
||||
|
||||
double xd0 = x - x0;
|
||||
double yd0 = y - y0;
|
||||
@@ -50,9 +53,9 @@ public class PerlinSampler extends SimplexStyleSampler {
|
||||
double yd1 = yd0 - 1;
|
||||
double zd1 = zd0 - 1;
|
||||
|
||||
double xs = interpQuintic(xd0);
|
||||
double ys = interpQuintic(yd0);
|
||||
double zs = interpQuintic(zd0);
|
||||
double xs = MathUtil.interpQuintic(xd0);
|
||||
double ys = MathUtil.interpQuintic(yd0);
|
||||
double zs = MathUtil.interpQuintic(zd0);
|
||||
|
||||
x0 *= PRIME_X;
|
||||
y0 *= PRIME_Y;
|
||||
@@ -61,14 +64,14 @@ public class PerlinSampler extends SimplexStyleSampler {
|
||||
int y1 = y0 + PRIME_Y;
|
||||
int z1 = z0 + PRIME_Z;
|
||||
|
||||
double xf00 = lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
|
||||
double xf10 = lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
|
||||
double xf01 = lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
|
||||
double xf11 = lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
|
||||
double xf00 = MathUtil.lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
|
||||
double xf10 = MathUtil.lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
|
||||
double xf01 = MathUtil.lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
|
||||
double xf11 = MathUtil.lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
|
||||
|
||||
double yf0 = lerp(xf00, xf10, ys);
|
||||
double yf1 = lerp(xf01, xf11, ys);
|
||||
double yf0 = MathUtil.lerp(xf00, xf10, ys);
|
||||
double yf1 = MathUtil.lerp(xf01, xf11, ys);
|
||||
|
||||
return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
|
||||
return MathUtil.lerp(yf0, yf1, zs) * 0.964921414852142333984375;
|
||||
}
|
||||
}
|
||||
|
||||
+5
-5
@@ -61,8 +61,8 @@ public class SimplexSampler extends SimplexStyleSampler {
|
||||
public double getNoiseRaw(long sl, double x, double y) {
|
||||
int seed = (int) sl;
|
||||
double t = (x + y) * F2;
|
||||
int i = fastFloor(x + t);
|
||||
int j = fastFloor(y + t);
|
||||
int i = (int) Math.floor(x + t);
|
||||
int j = (int) Math.floor(y + t);
|
||||
|
||||
t = (i + j) * G2;
|
||||
double X0 = i - t;
|
||||
@@ -118,9 +118,9 @@ public class SimplexSampler extends SimplexStyleSampler {
|
||||
public double getNoiseRaw(long sl, double x, double y, double z) {
|
||||
int seed = (int) sl;
|
||||
double t = (x + y + z) * F3;
|
||||
int i = fastFloor(x + t);
|
||||
int j = fastFloor(y + t);
|
||||
int k = fastFloor(z + t);
|
||||
int i = (int) Math.floor(x + t);
|
||||
int j = (int) Math.floor(y + t);
|
||||
int k = (int) Math.floor(z + t);
|
||||
|
||||
t = (i + j + k) * G3;
|
||||
double x0 = x - (i - t);
|
||||
|
||||
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Reference in New Issue
Block a user