API compiles now

This commit is contained in:
dfsek
2021-06-23 12:43:16 -07:00
parent 686680d731
commit f380247613
125 changed files with 421 additions and 279 deletions

View File

@@ -1,6 +1,6 @@
package com.dfsek.terra.api.math;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.util.PopulationUtil;
import com.dfsek.terra.api.vector.Vector3;
import com.dfsek.terra.vector.Vector3Impl;
import com.dfsek.terra.api.util.FastRandom;
@@ -57,7 +57,7 @@ public class GridSpawn {
* @return Vector representing spawnpoint
*/
public Vector3 getChunkSpawn(int structureChunkX, int structureChunkZ, long seed) {
Random r = new FastRandom(MathUtil.getCarverChunkSeed(structureChunkX, structureChunkZ, seed + salt));
Random r = new FastRandom(PopulationUtil.getCarverChunkSeed(structureChunkX, structureChunkZ, seed + salt));
int offsetX = r.nextInt(width);
int offsetZ = r.nextInt(width);
int sx = structureChunkX * (width + 2 * separation) + offsetX;

View File

@@ -15,7 +15,7 @@ import java.util.Random;
/**
* Class representation of a Loot Table to populate chest loot.
*/
public class LootTable {
public class LootTableImpl implements com.dfsek.terra.api.structure.LootTable {
private final List<Pool> pools = new GlueList<>();
/**
@@ -24,7 +24,7 @@ public class LootTable {
* @param json The JSON String representing the loot table.
* @throws ParseException if malformed JSON is passed.
*/
public LootTable(String json, TerraPlugin main) throws ParseException {
public LootTableImpl(String json, TerraPlugin main) throws ParseException {
JSONParser jsonParser = new JSONParser();
Object tableJSON = jsonParser.parse(json);
JSONArray poolArray = (JSONArray) ((JSONObject) tableJSON).get("pools");
@@ -33,12 +33,7 @@ public class LootTable {
}
}
/**
* Fetches a list of ItemStacks from the loot table using the given Random instance.
*
* @param r The Random instance to use.
* @return List&lt;ItemStack&gt; - The list of loot fetched.
*/
@Override
public List<ItemStack> getLoot(Random r) {
List<ItemStack> itemList = new GlueList<>();
for(Pool pool : pools) {
@@ -47,12 +42,7 @@ public class LootTable {
return itemList;
}
/**
* Fills an Inventory with loot.
*
* @param i The Inventory to fill.
* @param r The The Random instance to use.
*/
@Override
public void fillInventory(Inventory i, Random r) {
List<ItemStack> loot = getLoot(r);
for(ItemStack stack : loot) {

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@@ -1,10 +1,12 @@
package com.dfsek.terra.api.structures.script;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.structure.LootTable;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.vector.Location;
import com.dfsek.terra.vector.LocationImpl;
import com.dfsek.terra.api.world.Chunk;
import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.structures.loot.LootTable;
import com.dfsek.terra.api.structures.parser.Parser;
import com.dfsek.terra.api.structures.parser.exceptions.ParseException;
import com.dfsek.terra.api.structures.parser.lang.Block;
@@ -44,14 +46,14 @@ import java.nio.charset.Charset;
import java.util.Random;
import java.util.concurrent.ExecutionException;
public class StructureScript {
public class StructureScript implements Structure {
private final Block block;
private final String id;
private final Cache<LocationImpl, StructureBuffer> cache;
private final TerraPlugin main;
private String tempID;
public StructureScript(InputStream inputStream, TerraPlugin main, Registry<StructureScript> registry, Registry<LootTable> lootRegistry, Registry<FunctionBuilder<?>> functionRegistry) throws ParseException {
public StructureScript(InputStream inputStream, TerraPlugin main, Registry<Structure> registry, Registry<LootTable> lootRegistry, Registry<FunctionBuilder<?>> functionRegistry) throws ParseException {
Parser parser;
try {
parser = new Parser(IOUtils.toString(inputStream, Charset.defaultCharset()));
@@ -110,15 +112,9 @@ public class StructureScript {
this.cache = CacheBuilder.newBuilder().maximumSize(main.getTerraConfig().getStructureCache()).build();
}
/**
* Paste the structure at a location
*
* @param location Location to paste structure
* @param rotation Rotation of structure
* @return Whether generation was successful
*/
@Override
@SuppressWarnings("try")
public boolean execute(LocationImpl location, Random random, Rotation rotation) {
public boolean generate(Location location, Random random, Rotation rotation) {
try(ProfileFrame ignore = main.getProfiler().profile("terrascript:" + id)) {
StructureBuffer buffer = new StructureBuffer(location);
boolean level = applyBlock(new TerraImplementationArguments(buffer, rotation, random, 0));
@@ -127,8 +123,9 @@ public class StructureScript {
}
}
@Override
@SuppressWarnings("try")
public boolean execute(LocationImpl location, Chunk chunk, Random random, Rotation rotation) {
public boolean generate(Location location, Chunk chunk, Random random, Rotation rotation) {
try(ProfileFrame ignore = main.getProfiler().profile("terrascript_chunk:" + id)) {
StructureBuffer buffer = computeBuffer(location, random, rotation);
buffer.paste(chunk);
@@ -136,15 +133,16 @@ public class StructureScript {
}
}
@Override
@SuppressWarnings("try")
public boolean test(LocationImpl location, Random random, Rotation rotation) {
public boolean test(Location location, Random random, Rotation rotation) {
try(ProfileFrame ignore = main.getProfiler().profile("terrascript_test:" + id)) {
StructureBuffer buffer = computeBuffer(location, random, rotation);
return buffer.succeeded();
}
}
private StructureBuffer computeBuffer(LocationImpl location, Random random, Rotation rotation) {
private StructureBuffer computeBuffer(Location location, Random random, Rotation rotation) {
try {
return cache.get(location, () -> {
StructureBuffer buf = new StructureBuffer(location);
@@ -156,21 +154,24 @@ public class StructureScript {
}
}
@Override
@SuppressWarnings("try")
public boolean executeInBuffer(Buffer buffer, Random random, Rotation rotation, int recursions) {
public boolean generate(Buffer buffer, Random random, Rotation rotation, int recursions) {
try(ProfileFrame ignore = main.getProfiler().profile("terrascript_recursive:" + id)) {
return applyBlock(new TerraImplementationArguments(buffer, rotation, random, recursions));
}
}
@Override
@SuppressWarnings("try")
public boolean executeDirect(LocationImpl location, Random random, Rotation rotation) {
public boolean generateDirect(Location location, Random random, Rotation rotation) {
try(ProfileFrame ignore = main.getProfiler().profile("terrascript_direct:" + id)) {
DirectBuffer buffer = new DirectBuffer(location);
return applyBlock(new TerraImplementationArguments(buffer, rotation, random, 0));
}
}
@Override
public String getId() {
return id;
}

View File

@@ -6,7 +6,6 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.FunctionBuilder;
import com.dfsek.terra.api.structures.script.functions.CheckFunction;
import com.dfsek.terra.api.structures.tokenizer.Position;
import com.dfsek.terra.world.generation.math.SamplerCache;
import java.util.List;

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@@ -2,7 +2,7 @@ package com.dfsek.terra.api.structures.script.builders;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.structures.loot.LootTable;
import com.dfsek.terra.api.structure.LootTable;
import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.FunctionBuilder;
import com.dfsek.terra.api.structures.script.StructureScript;

View File

@@ -2,10 +2,10 @@ package com.dfsek.terra.api.structures.script.builders;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.structures.parser.exceptions.ParseException;
import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.FunctionBuilder;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structures.script.functions.StructureFunction;
import com.dfsek.terra.api.structures.tokenizer.Position;
@@ -13,10 +13,10 @@ import java.util.List;
import java.util.stream.Collectors;
public class StructureFunctionBuilder implements FunctionBuilder<StructureFunction> {
private final Registry<StructureScript> registry;
private final Registry<Structure> registry;
private final TerraPlugin main;
public StructureFunctionBuilder(Registry<StructureScript> registry, TerraPlugin main) {
public StructureFunctionBuilder(Registry<Structure> registry, TerraPlugin main) {
this.registry = registry;
this.main = main;
}

View File

@@ -10,7 +10,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.items.BufferedBlock;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

View File

@@ -9,7 +9,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.tokenizer.Position;
import com.dfsek.terra.api.world.biome.UserDefinedBiome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;

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@@ -8,7 +8,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

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@@ -1,6 +1,7 @@
package com.dfsek.terra.api.structures.script.functions;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.world.generator.SamplerCache;
import com.dfsek.terra.vector.LocationImpl;
import com.dfsek.terra.api.vector.Vector2;
import com.dfsek.terra.api.world.TerraWorld;
@@ -12,12 +13,11 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.tokenizer.Position;
import com.dfsek.terra.api.world.biome.UserDefinedBiome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
import com.dfsek.terra.config.templates.BiomeTemplate;
import com.dfsek.terra.world.generation.math.SamplerCache;
import net.jafama.FastMath;
import java.util.Map;

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@@ -12,7 +12,7 @@ import com.dfsek.terra.api.structures.parser.lang.constants.ConstantExpression;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.items.BufferedEntity;
import com.dfsek.terra.api.structures.tokenizer.Position;

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@@ -8,7 +8,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

View File

@@ -1,18 +1,19 @@
package com.dfsek.terra.api.structures.script.functions;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.structure.LootTable;
import com.dfsek.terra.api.vector.Vector2;
import com.dfsek.terra.vector.Vector2Impl;
import com.dfsek.terra.vector.Vector3Impl;
import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.structures.loot.LootTable;
import com.dfsek.terra.api.structures.loot.LootTableImpl;
import com.dfsek.terra.api.structures.parser.lang.ImplementationArguments;
import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.items.BufferedLootApplication;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;
@@ -46,7 +47,7 @@ public class LootFunction implements Function<Void> {
RotationUtil.rotateVector(xz, arguments.getRotation());
String id = data.apply(implementationArguments, variableMap);
LootTable table = registry.get(id);
LootTableImpl table = registry.get(id);
if(table == null) {
main.logger().severe("No such loot table " + id);

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@@ -12,7 +12,7 @@ import com.dfsek.terra.api.structures.parser.lang.constants.ConstantExpression;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.items.BufferedPulledBlock;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

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@@ -8,7 +8,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

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@@ -9,7 +9,7 @@ import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.items.BufferedStateManipulator;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;

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@@ -1,6 +1,7 @@
package com.dfsek.terra.api.structures.script.functions;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.vector.Vector2;
import com.dfsek.terra.vector.Vector2Impl;
import com.dfsek.terra.api.vector.Vector3;
@@ -10,10 +11,9 @@ import com.dfsek.terra.api.structures.parser.lang.ImplementationArguments;
import com.dfsek.terra.api.structures.parser.lang.Returnable;
import com.dfsek.terra.api.structures.parser.lang.functions.Function;
import com.dfsek.terra.api.structures.parser.lang.variables.Variable;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structures.script.TerraImplementationArguments;
import com.dfsek.terra.api.structure.rotation.Rotation;
import com.dfsek.terra.api.structure.rotation.RotationUtil;
import com.dfsek.terra.api.util.RotationUtil;
import com.dfsek.terra.api.structures.structure.buffer.IntermediateBuffer;
import com.dfsek.terra.api.structures.tokenizer.Position;
import net.jafama.FastMath;
@@ -22,14 +22,14 @@ import java.util.List;
import java.util.Map;
public class StructureFunction implements Function<Boolean> {
private final Registry<StructureScript> registry;
private final Registry<Structure> registry;
private final Returnable<String> id;
private final Returnable<Number> x, y, z;
private final Position position;
private final TerraPlugin main;
private final List<Returnable<String>> rotations;
public StructureFunction(Returnable<Number> x, Returnable<Number> y, Returnable<Number> z, Returnable<String> id, List<Returnable<String>> rotations, Registry<StructureScript> registry, Position position, TerraPlugin main) {
public StructureFunction(Returnable<Number> x, Returnable<Number> y, Returnable<Number> z, Returnable<String> id, List<Returnable<String>> rotations, Registry<Structure> registry, Position position, TerraPlugin main) {
this.registry = registry;
this.id = id;
this.position = position;
@@ -57,7 +57,7 @@ public class StructureFunction implements Function<Boolean> {
RotationUtil.rotateVector(xz, arguments.getRotation());
String app = id.apply(implementationArguments, variableMap);
StructureScript script = registry.get(app);
Structure script = registry.get(app);
if(script == null) {
main.logger().severe("No such structure " + app);
return null;
@@ -74,7 +74,7 @@ public class StructureFunction implements Function<Boolean> {
Vector3 offset = new Vector3Impl(FastMath.roundToInt(xz.getX()), y.apply(implementationArguments, variableMap).doubleValue(), FastMath.roundToInt(xz.getZ()));
return script.executeInBuffer(new IntermediateBuffer(arguments.getBuffer(), offset), arguments.getRandom(), arguments.getRotation().rotate(rotation1), arguments.getRecursions() + 1);
return script.generate(new IntermediateBuffer(arguments.getBuffer(), offset), arguments.getRandom(), arguments.getRotation().rotate(rotation1), arguments.getRecursions() + 1);
}
@Override

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@@ -1,6 +1,7 @@
package com.dfsek.terra.api.structures.structure.buffer;
import com.dfsek.terra.api.structure.buffer.Buffer;
import com.dfsek.terra.api.vector.Location;
import com.dfsek.terra.vector.LocationImpl;
import com.dfsek.terra.api.structure.buffer.BufferedItem;
@@ -11,31 +12,31 @@ import java.util.Map;
* Buffer implementation that directly pastes to the world.
*/
public class DirectBuffer implements Buffer {
private final LocationImpl origin;
private final Map<LocationImpl, String> marks = new LinkedHashMap<>();
private final Location origin;
private final Map<Location, String> marks = new LinkedHashMap<>();
public DirectBuffer(LocationImpl origin) {
public DirectBuffer(Location origin) {
this.origin = origin;
}
@Override
public Buffer addItem(BufferedItem item, LocationImpl location) {
public Buffer addItem(BufferedItem item, Location location) {
item.paste(origin.clone().add(location));
return this;
}
@Override
public LocationImpl getOrigin() {
public Location getOrigin() {
return origin;
}
@Override
public String getMark(LocationImpl location) {
public String getMark(Location location) {
return marks.get(location);
}
@Override
public Buffer setMark(String mark, LocationImpl location) {
public Buffer setMark(String mark, Location location) {
marks.put(location, mark);
return this;
}

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@@ -7,16 +7,16 @@ import com.dfsek.terra.vector.LocationImpl;
import com.dfsek.terra.api.block.Block;
import com.dfsek.terra.api.block.state.BlockState;
import com.dfsek.terra.api.block.state.Container;
import com.dfsek.terra.api.structures.loot.LootTable;
import com.dfsek.terra.api.structures.loot.LootTableImpl;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.util.FastRandom;
public class BufferedLootApplication implements BufferedItem {
private final LootTable table;
private final LootTableImpl table;
private final TerraPlugin main;
private final StructureScript structure;
public BufferedLootApplication(LootTable table, TerraPlugin main, StructureScript structure) {
public BufferedLootApplication(LootTableImpl table, TerraPlugin main, StructureScript structure) {
this.table = table;
this.main = main;
this.structure = structure;

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@@ -1,47 +0,0 @@
package com.dfsek.terra.api.util;
import com.dfsek.terra.api.TerraPlugin;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.net.URISyntaxException;
import java.net.URL;
import java.util.Enumeration;
import java.util.jar.JarEntry;
import java.util.jar.JarFile;
public class JarUtil {
public static void copyResourcesToDirectory(JarFile fromJar, String sourceDir, String destDir) throws IOException {
for(Enumeration<JarEntry> entries = fromJar.entries(); entries.hasMoreElements(); ) {
JarEntry entry = entries.nextElement();
if(entry.getName().startsWith(sourceDir + "/") && ! entry.isDirectory()) {
File dest = new File(destDir + File.separator + entry.getName().substring(sourceDir.length() + 1));
if(dest.exists()) continue;
File parent = dest.getParentFile();
if(parent != null) {
parent.mkdirs();
}
try(FileOutputStream out = new FileOutputStream(dest); InputStream in = fromJar.getInputStream(entry)) {
byte[] buffer = new byte[(8192)];
int s;
while((s = in.read(buffer)) > 0) {
out.write(buffer, 0, s);
}
} catch(IOException e) {
throw new IOException("Could not copy asset from jar file", e);
}
}
}
}
public static JarFile getJarFile() throws URISyntaxException, IOException {
return new JarFile(new File(getJarURL().toURI()));
}
public static URL getJarURL() {
return TerraPlugin.class.getProtectionDomain().getCodeSource().getLocation();
}
}

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@@ -1,4 +1,4 @@
package com.dfsek.terra.api.util.world;
package com.dfsek.terra.api.util;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.world.generator.Palette;

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@@ -0,0 +1,28 @@
package com.dfsek.terra.api.util;
import com.dfsek.terra.api.world.Chunk;
import java.util.Random;
public final class PopulationUtil {
public static FastRandom getRandom(Chunk c) {
return getRandom(c, 0);
}
public static FastRandom getRandom(Chunk c, long salt) {
return new FastRandom(getCarverChunkSeed(c.getX(), c.getZ(), c.getWorld().getSeed() + salt));
}
/**
* Gets the carver seed for a chunk.
*
* @param chunkX Chunk's X coordinate
* @param chunkZ Chunk's Z coordinate
* @param seed World seed
* @return long - The carver seed.
*/
public static long getCarverChunkSeed(int chunkX, int chunkZ, long seed) {
Random r = new FastRandom(seed);
return chunkX * r.nextLong() ^ chunkZ * r.nextLong() ^ seed;
}
}

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@@ -0,0 +1,292 @@
package com.dfsek.terra.api.util;
import com.dfsek.terra.api.structure.rotation.Rotation;
import com.dfsek.terra.api.vector.Vector2;
import com.dfsek.terra.api.block.Axis;
import com.dfsek.terra.api.block.BlockData;
import com.dfsek.terra.api.block.BlockFace;
import com.dfsek.terra.api.block.data.Directional;
import com.dfsek.terra.api.block.data.MultipleFacing;
import com.dfsek.terra.api.block.data.Orientable;
import com.dfsek.terra.api.block.data.Rail;
import com.dfsek.terra.api.block.data.RedstoneWire;
import com.dfsek.terra.api.block.data.Rotatable;
import com.dfsek.terra.api.block.data.Wall;
import com.google.common.collect.Sets;
import net.jafama.FastMath;
import java.util.EnumMap;
import java.util.Map;
import java.util.Set;
public class RotationUtil {
private static final Set<BlockFace> CARDINALS = Sets.newHashSet(BlockFace.NORTH, BlockFace.SOUTH, BlockFace.EAST, BlockFace.WEST);
/**
* Rotate and mirror a coordinate pair.
*
* @param orig Vector to rotate.
* @param r Rotation
*/
public static void rotateVector(Vector2 orig, Rotation r) {
Vector2 copy = orig.clone();
switch(r) {
case CW_90:
copy.setX(orig.getZ()).setZ(-orig.getX());
break;
case CCW_90:
copy.setX(-orig.getZ()).setZ(orig.getX());
break;
case CW_180:
copy.multiply(-1);
break;
}
orig.setX(copy.getX());
orig.setZ(copy.getZ());
}
/**
* Get the BlockFace with rotation and mirrors applied to it
*
* @param f BlockFace to apply rotation to
* @param r Rotation
* @return Rotated BlockFace
*/
public static BlockFace getRotatedFace(BlockFace f, Rotation r) {
BlockFace n = f;
int rotateNum = r.getDegrees() / 90;
int rn = faceRotation(f);
if(rn >= 0) {
n = fromRotation(faceRotation(n) + 4 * rotateNum);
}
return n;
}
/**
* Get an integer representation of a BlockFace, to perform math on.
*
* @param f BlockFace to get integer for
* @return integer representation of BlockFace
*/
public static int faceRotation(BlockFace f) {
switch(f) {
case NORTH:
return 0;
case NORTH_NORTH_EAST:
return 1;
case NORTH_EAST:
return 2;
case EAST_NORTH_EAST:
return 3;
case EAST:
return 4;
case EAST_SOUTH_EAST:
return 5;
case SOUTH_EAST:
return 6;
case SOUTH_SOUTH_EAST:
return 7;
case SOUTH:
return 8;
case SOUTH_SOUTH_WEST:
return 9;
case SOUTH_WEST:
return 10;
case WEST_SOUTH_WEST:
return 11;
case WEST:
return 12;
case WEST_NORTH_WEST:
return 13;
case NORTH_WEST:
return 14;
case NORTH_NORTH_WEST:
return 15;
default:
return -1;
}
}
/**
* Convert integer to BlockFace representation
*
* @param r integer to get BlockFace for
* @return BlockFace represented by integer.
*/
public static BlockFace fromRotation(int r) {
switch(FastMath.floorMod(r, 16)) {
case 0:
return BlockFace.NORTH;
case 1:
return BlockFace.NORTH_NORTH_EAST;
case 2:
return BlockFace.NORTH_EAST;
case 3:
return BlockFace.EAST_NORTH_EAST;
case 4:
return BlockFace.EAST;
case 5:
return BlockFace.EAST_SOUTH_EAST;
case 6:
return BlockFace.SOUTH_EAST;
case 7:
return BlockFace.SOUTH_SOUTH_EAST;
case 8:
return BlockFace.SOUTH;
case 9:
return BlockFace.SOUTH_SOUTH_WEST;
case 10:
return BlockFace.SOUTH_WEST;
case 11:
return BlockFace.WEST_SOUTH_WEST;
case 12:
return BlockFace.WEST;
case 13:
return BlockFace.WEST_NORTH_WEST;
case 14:
return BlockFace.NORTH_WEST;
case 15:
return BlockFace.NORTH_NORTH_WEST;
default:
throw new IllegalArgumentException();
}
}
public static Axis getRotatedAxis(Axis orig, Rotation r) {
Axis other = orig;
final boolean shouldSwitch = r.equals(Rotation.CW_90) || r.equals(Rotation.CCW_90);
switch(orig) {
case X:
if(shouldSwitch) other = Axis.Z;
break;
case Z:
if(shouldSwitch) other = Axis.X;
break;
}
return other;
}
/**
* Method to rotate the incredibly obnoxious Rail.Shape enum
*
* @param orig Original shape
* @param r Rotate
* @return Rotated/mirrored shape
*/
@SuppressWarnings("fallthrough")
public static Rail.Shape getRotatedRail(Rail.Shape orig, Rotation r) {
switch(r) {
case CCW_90:
switch(orig) {
case NORTH_WEST:
return Rail.Shape.SOUTH_WEST;
case NORTH_SOUTH:
return Rail.Shape.EAST_WEST;
case SOUTH_WEST:
return Rail.Shape.SOUTH_EAST;
case SOUTH_EAST:
return Rail.Shape.NORTH_EAST;
case EAST_WEST:
return Rail.Shape.NORTH_SOUTH;
case NORTH_EAST:
return Rail.Shape.NORTH_WEST;
case ASCENDING_EAST:
return Rail.Shape.ASCENDING_NORTH;
case ASCENDING_WEST:
return Rail.Shape.ASCENDING_SOUTH;
case ASCENDING_NORTH:
return Rail.Shape.ASCENDING_WEST;
case ASCENDING_SOUTH:
return Rail.Shape.ASCENDING_EAST;
}
case CW_90:
switch(orig) {
case NORTH_WEST:
return Rail.Shape.NORTH_EAST;
case NORTH_SOUTH:
return Rail.Shape.EAST_WEST;
case SOUTH_WEST:
return Rail.Shape.NORTH_WEST;
case SOUTH_EAST:
return Rail.Shape.SOUTH_WEST;
case EAST_WEST:
return Rail.Shape.NORTH_SOUTH;
case NORTH_EAST:
return Rail.Shape.SOUTH_EAST;
case ASCENDING_EAST:
return Rail.Shape.ASCENDING_SOUTH;
case ASCENDING_WEST:
return Rail.Shape.ASCENDING_NORTH;
case ASCENDING_NORTH:
return Rail.Shape.ASCENDING_EAST;
case ASCENDING_SOUTH:
return Rail.Shape.ASCENDING_WEST;
}
case CW_180:
switch(orig) {
case NORTH_WEST:
return Rail.Shape.SOUTH_EAST;
case NORTH_SOUTH:
return Rail.Shape.NORTH_SOUTH;
case SOUTH_WEST:
return Rail.Shape.NORTH_EAST;
case SOUTH_EAST:
return Rail.Shape.NORTH_WEST;
case EAST_WEST:
return Rail.Shape.EAST_WEST;
case NORTH_EAST:
return Rail.Shape.SOUTH_WEST;
case ASCENDING_EAST:
return Rail.Shape.ASCENDING_WEST;
case ASCENDING_WEST:
return Rail.Shape.ASCENDING_EAST;
case ASCENDING_NORTH:
return Rail.Shape.ASCENDING_SOUTH;
case ASCENDING_SOUTH:
return Rail.Shape.ASCENDING_NORTH;
}
}
return orig;
}
public static void rotateBlockData(BlockData data, Rotation r) {
if(data instanceof Rotatable) {
BlockFace rt = getRotatedFace(((Rotatable) data).getRotation(), r);
((Rotatable) data).setRotation(rt);
} else if(data instanceof Directional) {
BlockFace rt = getRotatedFace(((Directional) data).getFacing(), r);
((Directional) data).setFacing(rt);
} else if(data instanceof MultipleFacing) {
MultipleFacing mfData = (MultipleFacing) data;
Map<BlockFace, Boolean> faces = new EnumMap<>(BlockFace.class);
for(BlockFace f : mfData.getAllowedFaces()) {
faces.put(f, mfData.hasFace(f));
}
for(Map.Entry<BlockFace, Boolean> face : faces.entrySet()) {
mfData.setFace(getRotatedFace(face.getKey(), r), face.getValue());
}
} else if(data instanceof Rail) {
Rail.Shape newShape = getRotatedRail(((Rail) data).getShape(), r);
((Rail) data).setShape(newShape);
} else if(data instanceof Orientable) {
Axis newAxis = getRotatedAxis(((Orientable) data).getAxis(), r);
((Orientable) data).setAxis(newAxis);
} else if(data instanceof RedstoneWire) {
Map<BlockFace, RedstoneWire.Connection> connections = new EnumMap<>(BlockFace.class);
RedstoneWire rData = (RedstoneWire) data;
for(BlockFace f : rData.getAllowedFaces()) {
connections.put(f, rData.getFace(f));
}
for(Map.Entry<BlockFace, RedstoneWire.Connection> e : connections.entrySet()) {
rData.setFace(getRotatedFace(e.getKey(), r), e.getValue());
}
} else if(data instanceof Wall) {
Wall wallData = (Wall) data;
Map<BlockFace, Wall.Height> faces = new EnumMap<>(BlockFace.class);
for(BlockFace b : CARDINALS) faces.put(b, wallData.getHeight(b));
for(Map.Entry<BlockFace, Wall.Height> face : faces.entrySet()) {
wallData.setHeight(getRotatedFace(face.getKey(), r), face.getValue());
}
}
}
}

View File

@@ -1,5 +1,7 @@
package com.dfsek.terra.api.util.logging;
import com.dfsek.terra.api.Logger;
public class DebugLogger {
private final Logger logger;
private boolean debug = false;

View File

@@ -1,5 +1,7 @@
package com.dfsek.terra.api.util.logging;
import com.dfsek.terra.api.Logger;
public class JavaLogger implements Logger {
private final java.util.logging.Logger logger;

View File

@@ -1,9 +0,0 @@
package com.dfsek.terra.api.util.logging;
public interface Logger {
void info(String message);
void warning(String message);
void severe(String message);
}

View File

@@ -1,15 +0,0 @@
package com.dfsek.terra.api.util.world;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.world.Chunk;
import com.dfsek.terra.api.util.FastRandom;
public final class PopulationUtil {
public static FastRandom getRandom(Chunk c) {
return getRandom(c, 0);
}
public static FastRandom getRandom(Chunk c, long salt) {
return new FastRandom(MathUtil.getCarverChunkSeed(c.getX(), c.getZ(), c.getWorld().getSeed() + salt));
}
}

View File

@@ -1,7 +1,7 @@
package com.dfsek.terra.api.world.locate;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.util.PopulationUtil;
import com.dfsek.terra.vector.LocationImpl;
import com.dfsek.terra.api.vector.Vector3;
import com.dfsek.terra.api.structure.rotation.Rotation;
@@ -30,7 +30,7 @@ public class AsyncStructureFinder extends AsyncFeatureFinder<TerraStructure> {
public boolean isValid(int x, int z, TerraStructure target) {
LocationImpl spawn = target.getSpawn().getChunkSpawn(x, z, world.getSeed()).toLocation(world);
if(!((UserDefinedBiome) provider.getBiome(spawn)).getConfig().getStructures().contains(target)) return false;
Random random = new FastRandom(MathUtil.getCarverChunkSeed(FastMath.floorDiv(spawn.getBlockX(), 16), FastMath.floorDiv(spawn.getBlockZ(), 16), world.getSeed()));
Random random = new FastRandom(PopulationUtil.getCarverChunkSeed(FastMath.floorDiv(spawn.getBlockX(), 16), FastMath.floorDiv(spawn.getBlockZ(), 16), world.getSeed()));
return target.getStructure().get(random).test(spawn.setY(target.getSpawnStart().get(random)), random, Rotation.fromDegrees(90 * random.nextInt(4)));
}
}

View File

@@ -2,6 +2,7 @@ package com.dfsek.terra.carving;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.util.MathUtil;
import com.dfsek.terra.api.util.PopulationUtil;
import com.dfsek.terra.vector.Vector3Impl;
import com.dfsek.terra.api.world.World;
import com.dfsek.terra.api.util.FastRandom;
@@ -33,8 +34,8 @@ public class CarverCache {
int chunkX = (int) (key >> 32);
int chunkZ = (int) key.longValue();
BiomeProvider provider = main.getWorld(w).getBiomeProvider();
if(CarverCache.this.carver.isChunkCarved(w, chunkX, chunkZ, new FastRandom(MathUtil.getCarverChunkSeed(chunkX, chunkZ, w.getSeed() + CarverCache.this.carver.hashCode())))) {
long seed = MathUtil.getCarverChunkSeed(chunkX, chunkZ, w.getSeed());
if(CarverCache.this.carver.isChunkCarved(w, chunkX, chunkZ, new FastRandom(PopulationUtil.getCarverChunkSeed(chunkX, chunkZ, w.getSeed() + CarverCache.this.carver.hashCode())))) {
long seed = PopulationUtil.getCarverChunkSeed(chunkX, chunkZ, w.getSeed());
Random r = new FastRandom(seed);
Worm carving = CarverCache.this.carver.getWorm(seed, new Vector3Impl((chunkX << 4) + r.nextInt(16), CarverCache.this.carver.getConfig().getHeight().get(r), (chunkZ << 4) + r.nextInt(16)));
List<Worm.WormPoint> points = new GlueList<>();

View File

@@ -14,7 +14,7 @@ import com.dfsek.terra.api.command.arg.IntegerArgumentParser;
import com.dfsek.terra.api.injection.annotations.Inject;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.entity.Player;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.structure.rotation.Rotation;
import com.dfsek.terra.api.util.FastRandom;
import com.dfsek.terra.commands.structure.argument.ScriptArgumentParser;
@@ -56,7 +56,7 @@ public class StructureLoadCommand implements CommandTemplate {
private boolean chunk;
@ArgumentTarget("structure")
private StructureScript script;
private Structure script;
@Inject
private TerraPlugin main;
@@ -79,9 +79,9 @@ public class StructureLoadCommand implements CommandTemplate {
return;
}
if(this.chunk) {
script.execute(player.getLocation(), player.getWorld().getChunkAt(player.getLocation()), random, r);
script.generate(player.getLocation(), player.getWorld().getChunkAt(player.getLocation()), random, r);
} else {
script.execute(player.getLocation(), random, r);
script.generate(player.getLocation(), random, r);
}
long l = System.nanoTime() - t;

View File

@@ -5,14 +5,15 @@ import com.dfsek.terra.api.command.arg.ArgumentParser;
import com.dfsek.terra.api.injection.annotations.Inject;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.entity.Player;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.structures.script.StructureScript;
public class ScriptArgumentParser implements ArgumentParser<StructureScript> {
public class ScriptArgumentParser implements ArgumentParser<Structure> {
@Inject
private TerraPlugin main;
@Override
public StructureScript parse(CommandSender sender, String arg) {
public Structure parse(CommandSender sender, String arg) {
return main.getWorld(((Player) sender).getWorld()).getConfig().getRegistry(StructureScript.class).get(arg);
}
}

View File

@@ -5,6 +5,7 @@ import com.dfsek.terra.api.command.tab.TabCompleter;
import com.dfsek.terra.api.injection.annotations.Inject;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.entity.Player;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.structures.script.StructureScript;
import java.util.List;
@@ -16,6 +17,6 @@ public class ScriptCompleter implements TabCompleter {
@Override
public List<String> complete(CommandSender sender) {
return main.getWorld(((Player) sender).getWorld()).getConfig().getRegistry(StructureScript.class).entries().stream().map(StructureScript::getId).collect(Collectors.toList());
return main.getWorld(((Player) sender).getWorld()).getConfig().getRegistry(StructureScript.class).entries().stream().map(Structure::getId).collect(Collectors.toList());
}
}

View File

@@ -6,8 +6,8 @@ import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.addon.TerraAddon;
import com.dfsek.terra.api.math.GridSpawn;
import com.dfsek.terra.api.math.range.ConstantRange;
import com.dfsek.terra.api.noise.samplers.ImageSampler;
import com.dfsek.terra.api.noise.samplers.noise.CellularSampler;
import com.dfsek.terra.noise.samplers.ImageSampler;
import com.dfsek.terra.noise.samplers.noise.CellularSampler;
import com.dfsek.terra.api.block.BlockType;
import com.dfsek.terra.api.util.collections.MaterialSet;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;

View File

@@ -7,7 +7,7 @@ import com.dfsek.tectonic.exception.ConfigException;
import com.dfsek.tectonic.loading.ConfigLoader;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.util.JarUtil;
import com.dfsek.terra.api.util.logging.Logger;
import com.dfsek.terra.api.Logger;
import java.io.File;
import java.io.FileInputStream;
@@ -17,7 +17,7 @@ import java.time.Duration;
import java.util.jar.JarFile;
@SuppressWarnings("FieldMayBeFinal")
public class PluginConfig implements ConfigTemplate {
public class PluginConfigImpl implements ConfigTemplate, com.dfsek.terra.api.config.PluginConfig {
@Value("debug.commands")
@Default
private boolean debugCommands = false;
@@ -74,6 +74,7 @@ public class PluginConfig implements ConfigTemplate {
@Default
private int maxRecursion = 1000;
@Override
public void load(TerraPlugin main) {
Logger logger = main.logger();
logger.info("Loading config values");
@@ -84,9 +85,9 @@ public class PluginConfig implements ConfigTemplate {
try(JarFile jar = main.getModJar()) {
JarUtil.copyResourcesToDirectory(jar, "packs", new File(main.getDataFolder(), "packs").toString());
} catch(IOException | URISyntaxException e) {
main.getDebugLogger().error("Failed to dump default config files!");
main.getDebugLogger().severe("Failed to dump default config files!");
e.printStackTrace();
main.getDebugLogger().error("Either you're on Forge, or this is a bug. If it's the latter, report this to Terra!");
main.getDebugLogger().severe("Either you're on Forge, or this is a bug. If it's the latter, report this to Terra!");
}
}
} catch(ConfigException | IOException e) {
@@ -99,54 +100,67 @@ public class PluginConfig implements ConfigTemplate {
if(isDebugScript()) logger.info("Script debug blocks enabled.");
}
@Override
public String getLanguage() {
return language;
}
@Override
public boolean isDebugCommands() {
return debugCommands;
}
@Override
public boolean isDebugLogging() {
return debugLog;
}
@Override
public boolean isDebugProfiler() {
return debugProfiler;
}
@Override
public boolean isDebugScript() {
return debugScript;
}
@Override
public long getDataSaveInterval() {
return dataSave.toMillis() / 20L;
}
@Override
public int getBiomeSearchResolution() {
return biomeSearch;
}
@Override
public int getCarverCacheSize() {
return carverCache;
}
@Override
public int getStructureCache() {
return structureCache;
}
@Override
public int getSamplerCache() {
return samplerCache;
}
@Override
public int getMaxRecursion() {
return maxRecursion;
}
@Override
public int getBiomeCache() {
return biomeCache;
}
@Override
public int getProviderCache() {
return providerCache;
}

View File

@@ -3,8 +3,8 @@ package com.dfsek.terra.config.builder;
import com.dfsek.paralithic.eval.parser.Scope;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.ExpressionSampler;
import com.dfsek.terra.api.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.noise.samplers.ExpressionSampler;
import com.dfsek.terra.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.api.world.biome.Biome;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;

View File

@@ -1,7 +1,7 @@
package com.dfsek.terra.config.factories;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.world.Flora;
import com.dfsek.terra.api.world.palette.NoisePalette;
import com.dfsek.terra.api.world.palette.PaletteImpl;

View File

@@ -2,7 +2,8 @@ package com.dfsek.terra.config.lang;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.util.logging.Logger;
import com.dfsek.terra.api.Logger;
import com.dfsek.terra.api.lang.Language;
import java.io.File;
import java.io.IOException;
@@ -26,7 +27,7 @@ public final class LangUtil {
try {
File file1 = new File(file, langID + ".yml");
logger.info(file1.getAbsolutePath());
language = new Language(file1);
language = new LanguageImpl(file1);
logger.info("Loaded language " + langID);
} catch(IOException e) {
logger.severe("Unable to load language: " + langID);

View File

@@ -3,6 +3,7 @@ package com.dfsek.terra.config.lang;
import com.dfsek.tectonic.config.Configuration;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.lang.Message;
import java.io.File;
import java.io.FileInputStream;
@@ -11,11 +12,12 @@ import java.util.List;
import java.util.logging.Level;
import java.util.logging.Logger;
public class Language {
public class LanguageImpl implements com.dfsek.terra.api.lang.Language {
private final Configuration configuration;
public Language(File file) throws IOException {
public LanguageImpl(File file) throws IOException {
configuration = new Configuration(new FileInputStream(file));
}
@Override
@SuppressWarnings("unchecked")
public Message getMessage(String id) {
Message temp = null;
@@ -31,9 +33,11 @@ public class Language {
if(temp == null || temp.isEmpty()) return new SingleLineMessage("message:" + id + ":translation_undefined");
return temp;
}
@Override
public void log(String messageID, Level level, Logger logger, String... args) {
getMessage(messageID).log(logger, level, args);
}
@Override
public void send(String messageID, CommandSender sender, String... args) {
getMessage(messageID).send(sender, args);
}

View File

@@ -1,13 +0,0 @@
package com.dfsek.terra.config.lang;
import com.dfsek.terra.api.entity.CommandSender;
import java.util.logging.Level;
import java.util.logging.Logger;
public interface Message {
void log(Logger logger, Level level, String... args);
void send(CommandSender sender, String... args);
boolean isEmpty();
}

View File

@@ -1,6 +1,7 @@
package com.dfsek.terra.config.lang;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.lang.Message;
import java.util.Arrays;
import java.util.List;

View File

@@ -2,6 +2,7 @@ package com.dfsek.terra.config.lang;
import com.dfsek.terra.api.entity.CommandSender;
import com.dfsek.terra.api.lang.Message;
import java.util.Arrays;
import java.util.logging.Level;

View File

@@ -5,7 +5,7 @@ import com.dfsek.tectonic.exception.LoadException;
import com.dfsek.tectonic.loading.ConfigLoader;
import com.dfsek.tectonic.loading.TypeLoader;
import com.dfsek.terra.api.math.range.ConstantRange;
import com.dfsek.terra.api.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.api.world.Flora;

View File

@@ -4,7 +4,7 @@ import com.dfsek.tectonic.exception.LoadException;
import com.dfsek.tectonic.loading.ConfigLoader;
import com.dfsek.tectonic.loading.TypeLoader;
import com.dfsek.terra.api.math.range.ConstantRange;
import com.dfsek.terra.api.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.world.Tree;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;

View File

@@ -4,7 +4,7 @@ import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.tectonic.loading.object.ObjectTemplate;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;

View File

@@ -3,7 +3,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.DomainWarpedSampler;
import com.dfsek.terra.noise.samplers.DomainWarpedSampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
@SuppressWarnings({"unused", "FieldMayBeFinal"})

View File

@@ -2,7 +2,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.ImageSampler;
import com.dfsek.terra.noise.samplers.ImageSampler;
import java.awt.image.BufferedImage;

View File

@@ -5,7 +5,7 @@ import com.dfsek.tectonic.annotations.Value;
import com.dfsek.tectonic.config.ValidatedConfigTemplate;
import com.dfsek.tectonic.exception.ValidationException;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.KernelSampler;
import com.dfsek.terra.noise.samplers.KernelSampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import java.util.List;

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@@ -3,8 +3,8 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.CellularSampler;
import com.dfsek.terra.api.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.noise.samplers.noise.CellularSampler;
import com.dfsek.terra.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
@SuppressWarnings("FieldMayBeFinal")

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@@ -3,7 +3,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.config.loaders.config.sampler.templates.SamplerTemplate;
@SuppressWarnings("FieldMayBeFinal")

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@@ -9,7 +9,7 @@ import com.dfsek.tectonic.annotations.Value;
import com.dfsek.tectonic.config.ValidatedConfigTemplate;
import com.dfsek.tectonic.exception.ValidationException;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.ExpressionFunction;
import com.dfsek.terra.noise.samplers.noise.ExpressionFunction;
import com.dfsek.terra.api.math.paralithic.defined.UserDefinedFunction;
import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction2;
import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction3;

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@@ -3,7 +3,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.GaborNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.GaborNoiseSampler;
public class GaborNoiseTemplate extends NoiseTemplate<GaborNoiseSampler> {
@Value("rotation")

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@@ -2,7 +2,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.samplers.noise.NoiseFunction;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
import com.dfsek.terra.config.loaders.config.sampler.templates.SamplerTemplate;
@SuppressWarnings({"unused", "FieldMayBeFinal"})

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@@ -1,7 +1,7 @@
package com.dfsek.terra.config.loaders.config.sampler.templates.noise;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.NoiseFunction;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
import java.util.function.Function;

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@@ -1,7 +1,7 @@
package com.dfsek.terra.config.loaders.config.sampler.templates.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.fractal.BrownianMotionSampler;
import com.dfsek.terra.noise.samplers.noise.fractal.BrownianMotionSampler;
public class BrownianMotionTemplate extends FractalTemplate<BrownianMotionSampler> {
@Override

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@@ -2,7 +2,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise.fractal;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.samplers.noise.fractal.FractalNoiseFunction;
import com.dfsek.terra.noise.samplers.noise.fractal.FractalNoiseFunction;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.config.loaders.config.sampler.templates.SamplerTemplate;

View File

@@ -3,7 +3,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.noise.fractal;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.fractal.PingPongSampler;
import com.dfsek.terra.noise.samplers.noise.fractal.PingPongSampler;
@SuppressWarnings({"unused", "FieldMayBeFinal"})
public class PingPongTemplate extends FractalTemplate<PingPongSampler> {
@Value("ping-pong")

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@@ -1,7 +1,7 @@
package com.dfsek.terra.config.loaders.config.sampler.templates.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.fractal.RidgedFractalSampler;
import com.dfsek.terra.noise.samplers.noise.fractal.RidgedFractalSampler;
public class RidgedFractalTemplate extends FractalTemplate<RidgedFractalSampler> {
@Override

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@@ -2,8 +2,8 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.normalizer;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.normalizer.ClampNormalizer;
import com.dfsek.terra.api.noise.normalizer.LinearNormalizer;
import com.dfsek.terra.noise.normalizer.ClampNormalizer;
import com.dfsek.terra.noise.normalizer.LinearNormalizer;
@SuppressWarnings({"unused", "FieldMayBeFinal"})
public class ClampNormalizerTemplate extends NormalizerTemplate<LinearNormalizer> {

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@@ -2,7 +2,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.normalizer;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.normalizer.LinearNormalizer;
import com.dfsek.terra.noise.normalizer.LinearNormalizer;
@SuppressWarnings({"unused", "FieldMayBeFinal"})
public class LinearNormalizerTemplate extends NormalizerTemplate<LinearNormalizer> {

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@@ -3,7 +3,7 @@ package com.dfsek.terra.config.loaders.config.sampler.templates.normalizer;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.normalizer.NormalNormalizer;
import com.dfsek.terra.noise.normalizer.NormalNormalizer;
@SuppressWarnings({"unused", "FieldMayBeFinal"})
public class NormalNormalizerTemplate extends NormalizerTemplate<NormalNormalizer> {

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@@ -1,7 +1,7 @@
package com.dfsek.terra.config.loaders.config.sampler.templates.normalizer;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.normalizer.Normalizer;
import com.dfsek.terra.noise.normalizer.Normalizer;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.config.loaders.config.sampler.templates.SamplerTemplate;

View File

@@ -15,7 +15,8 @@ import com.dfsek.terra.api.event.events.config.ConfigPackPreLoadEvent;
import com.dfsek.terra.api.registry.CheckedRegistry;
import com.dfsek.terra.api.registry.OpenRegistry;
import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.structures.loot.LootTable;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.structures.loot.LootTableImpl;
import com.dfsek.terra.api.structures.parser.lang.functions.FunctionBuilder;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.util.generic.pair.ImmutablePair;
@@ -190,7 +191,7 @@ public class ConfigPackImpl implements ConfigPack {
putPair(map, NoiseProvider.class, new NoiseRegistry());
putPair(map, FunctionBuilder.class, (OpenRegistry<FunctionBuilder>) (Object) new FunctionRegistry());
putPair(map, LootTable.class, new LootRegistry());
putPair(map, LootTableImpl.class, new LootRegistry());
putPair(map, StructureScript.class, new ScriptRegistry());
return map;
@@ -217,8 +218,8 @@ public class ConfigPackImpl implements ConfigPack {
loader.open("", ".tesf").thenEntries(entries -> {
for(Map.Entry<String, InputStream> entry : entries) {
try(InputStream stream = entry.getValue()) {
StructureScript structureScript = new StructureScript(stream, main, getRegistry(StructureScript.class), getRegistry(LootTable.class), (Registry<FunctionBuilder<?>>) (Object) getRegistry(FunctionBuilder.class));
getOpenRegistry(StructureScript.class).add(structureScript.getId(), structureScript);
Structure structure = new StructureScript(stream, main, getRegistry(StructureScript.class), getRegistry(LootTableImpl.class), (Registry<FunctionBuilder<?>>) (Object) getRegistry(FunctionBuilder.class));
getOpenRegistry(StructureScript.class).add(structure.getId(), structure);
} catch(com.dfsek.terra.api.structures.parser.exceptions.ParseException | IOException e) {
throw new LoadException("Unable to load script \"" + entry.getKey() + "\"", e);
}
@@ -226,7 +227,7 @@ public class ConfigPackImpl implements ConfigPack {
}).close().open("structures/loot", ".json").thenEntries(entries -> {
for(Map.Entry<String, InputStream> entry : entries) {
try {
getOpenRegistry(LootTable.class).add(entry.getKey(), new LootTable(IOUtils.toString(entry.getValue(), StandardCharsets.UTF_8), main));
getOpenRegistry(LootTableImpl.class).add(entry.getKey(), new LootTableImpl(IOUtils.toString(entry.getValue(), StandardCharsets.UTF_8), main));
} catch(ParseException | IOException | NullPointerException e) {
throw new LoadException("Unable to load loot table \"" + entry.getKey() + "\"", e);
}

View File

@@ -6,11 +6,11 @@ import com.dfsek.terra.api.registry.Registry;
import com.dfsek.terra.api.world.TerraWorld;
import com.dfsek.terra.api.world.biome.TerraBiome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
import com.dfsek.terra.carving.UserDefinedCarver;
import com.dfsek.terra.api.world.generator.SamplerCache;
import com.dfsek.terra.config.builder.BiomeBuilder;
import com.dfsek.terra.registry.LockedRegistryImpl;
import com.dfsek.terra.registry.OpenRegistryImpl;
import com.dfsek.terra.world.generation.math.SamplerCache;
import com.dfsek.terra.world.generation.math.SamplerCacheImpl;
import com.dfsek.terra.world.population.items.TerraStructure;
import java.util.HashMap;
@@ -31,7 +31,7 @@ public class WorldConfigImpl implements com.dfsek.terra.api.config.WorldConfig {
public WorldConfigImpl(TerraWorld world, ConfigPackImpl pack, TerraPlugin main) {
this.world = world;
this.pack = pack;
this.samplerCache = new SamplerCache(main, world);
this.samplerCache = new SamplerCacheImpl(main, world);
pack.getRegistryMap().forEach((clazz, pair) -> registryMap.put(clazz, new LockedRegistryImpl<>(pair.getLeft())));
@@ -58,11 +58,6 @@ public class WorldConfigImpl implements com.dfsek.terra.api.config.WorldConfig {
return samplerCache;
}
@Override
public Set<UserDefinedCarver> getCarvers() {
return new HashSet<>(getRegistry(UserDefinedCarver.class).entries());
}
@Override
public BiomeProvider getProvider() {
return provider;

View File

@@ -11,7 +11,7 @@ import com.dfsek.tectonic.exception.ValidationException;
import com.dfsek.terra.api.TerraPlugin;
import com.dfsek.terra.api.config.ConfigPack;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.noise.samplers.noise.ConstantSampler;
import com.dfsek.terra.api.math.paralithic.BlankFunction;
import com.dfsek.terra.api.math.paralithic.defined.UserDefinedFunction;
import com.dfsek.terra.api.block.BlockType;

View File

@@ -4,7 +4,7 @@ import com.dfsek.tectonic.annotations.Abstractable;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.api.world.palette.holder.PaletteLayerHolder;

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@@ -5,7 +5,7 @@ import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.tectonic.config.ConfigTemplate;
import com.dfsek.terra.api.math.GridSpawn;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.util.GlueList;
import com.dfsek.terra.api.util.Range;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
@@ -19,7 +19,7 @@ public class StructureTemplate extends AbstractableTemplate implements ConfigTem
@Value("scripts")
@Abstractable
private ProbabilityCollectionImpl<StructureScript> structure;
private ProbabilityCollectionImpl<Structure> structure;
@Value("spawn.start")
@Abstractable
@@ -38,7 +38,7 @@ public class StructureTemplate extends AbstractableTemplate implements ConfigTem
return id;
}
public ProbabilityCollectionImpl<StructureScript> getStructures() {
public ProbabilityCollectionImpl<Structure> getStructures() {
return structure;
}

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@@ -3,7 +3,7 @@ package com.dfsek.terra.config.templates;
import com.dfsek.tectonic.annotations.Abstractable;
import com.dfsek.tectonic.annotations.Default;
import com.dfsek.tectonic.annotations.Value;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.api.util.collections.MaterialSet;
import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
@@ -11,7 +11,7 @@ import com.dfsek.terra.api.util.collections.ProbabilityCollectionImpl;
public class TreeTemplate extends AbstractableTemplate {
@Value("scripts")
@Abstractable
private ProbabilityCollectionImpl<StructureScript> structure;
private ProbabilityCollectionImpl<Structure> structure;
@Value("id")
private String id;
@@ -25,7 +25,7 @@ public class TreeTemplate extends AbstractableTemplate {
@Abstractable
private MaterialSet spawnable;
public ProbabilityCollectionImpl<StructureScript> getStructures() {
public ProbabilityCollectionImpl<Structure> getStructures() {
return structure;
}

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@@ -0,0 +1,20 @@
package com.dfsek.terra.noise.normalizer;
import com.dfsek.terra.api.noise.NoiseSampler;
import net.jafama.FastMath;
public class ClampNormalizer extends Normalizer {
private final double min;
private final double max;
public ClampNormalizer(NoiseSampler sampler, double min, double max) {
super(sampler);
this.min = min;
this.max = max;
}
@Override
public double normalize(double in) {
return FastMath.max(FastMath.min(in, max), min);
}
}

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@@ -0,0 +1,22 @@
package com.dfsek.terra.noise.normalizer;
import com.dfsek.terra.api.noise.NoiseSampler;
/**
* Normalizer to linearly scale data's range.
*/
public class LinearNormalizer extends Normalizer {
private final double min;
private final double max;
public LinearNormalizer(NoiseSampler sampler, double min, double max) {
super(sampler);
this.min = min;
this.max = max;
}
@Override
public double normalize(double in) {
return (in - min) * (2 / (max - min)) - 1;
}
}

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@@ -0,0 +1,45 @@
package com.dfsek.terra.noise.normalizer;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
import net.jafama.FastMath;
/**
* Normalizer to redistribute normally distributed data to a continuous distribution via an automatically generated lookup table.
*/
public class NormalNormalizer extends Normalizer {
private final double[] lookup;
public NormalNormalizer(NoiseSampler sampler, int buckets, double mean, double standardDeviation) {
super(sampler);
this.lookup = new double[buckets];
for(int i = 0; i < buckets; i++) {
lookup[i] = MathUtil.normalInverse((double) i / buckets, mean, standardDeviation);
}
}
@Override
public double normalize(double in) {
int start = 0;
int end = lookup.length - 1;
while(start + 1 < end) {
int mid = start + (end - start) / 2;
if(lookup[mid] <= in) {
start = mid;
} else {
end = mid;
}
}
double left = FastMath.abs(lookup[start] - in);
double right = FastMath.abs(lookup[end] - in);
double fin;
if(left <= right) {
fin = (double) start / (lookup.length);
} else fin = (double) end / (lookup.length);
return (fin - 0.5) * 2;
}
}

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@@ -0,0 +1,33 @@
package com.dfsek.terra.noise.normalizer;
import com.dfsek.terra.api.noise.NoiseSampler;
public abstract class Normalizer implements NoiseSampler {
private final NoiseSampler sampler;
public Normalizer(NoiseSampler sampler) {
this.sampler = sampler;
}
public abstract double normalize(double in);
@Override
public double getNoise(double x, double y) {
return normalize(sampler.getNoise(x, y));
}
@Override
public double getNoise(double x, double y, double z) {
return normalize(sampler.getNoise(x, y, z));
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return normalize(sampler.getNoiseSeeded(seed, x, y));
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return normalize(sampler.getNoiseSeeded(seed, x, y, z));
}
}

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@@ -0,0 +1,44 @@
package com.dfsek.terra.noise.samplers;
import com.dfsek.terra.api.noise.NoiseSampler;
public class DomainWarpedSampler implements NoiseSampler {
private final NoiseSampler function;
private final NoiseSampler warp;
private final int seed;
private final double amplitude;
public DomainWarpedSampler(NoiseSampler function, NoiseSampler warp, int seed, double amplitude) {
this.function = function;
this.warp = warp;
this.seed = seed;
this.amplitude = amplitude;
}
@Override
public double getNoise(double x, double y) {
return getNoiseSeeded(seed, x, y);
}
@Override
public double getNoise(double x, double y, double z) {
return getNoiseSeeded(seed, x, y, z);
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return function.getNoise(
x + warp.getNoiseSeeded(seed, x, y) * amplitude,
y + warp.getNoiseSeeded(seed + 1, x, y) * amplitude
);
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return function.getNoise(
x + warp.getNoiseSeeded(seed, x, y, z) * amplitude,
y + warp.getNoiseSeeded(seed + 1, x, y, z) * amplitude,
z + warp.getNoiseSeeded(seed + 2, x, y, z) * amplitude
);
}
}

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@@ -0,0 +1,67 @@
package com.dfsek.terra.noise.samplers;
import com.dfsek.paralithic.Expression;
import com.dfsek.paralithic.eval.parser.Parser;
import com.dfsek.paralithic.eval.parser.Scope;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.terra.api.math.paralithic.defined.UserDefinedFunction;
import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction2;
import com.dfsek.terra.api.math.paralithic.noise.NoiseFunction3;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.seeded.NoiseSeeded;
import com.dfsek.terra.config.loaders.config.function.FunctionTemplate;
import java.util.Map;
/**
* Sampler3D implementation using Paralithic expression
*/
public class ExpressionSampler implements NoiseSampler {
private final Expression expression;
public ExpressionSampler(String equation, Scope parent, long seed, Map<String, NoiseSeeded> functions, Map<String, FunctionTemplate> definedFunctions) throws ParseException {
Parser parser = new Parser();
Scope scope = new Scope().withParent(parent);
scope.addInvocationVariable("x");
scope.addInvocationVariable("y");
scope.addInvocationVariable("z");
functions.forEach((id, noise) -> {
switch(noise.getDimensions()) {
case 2:
parser.registerFunction(id, new NoiseFunction2(noise.apply(seed)));
break;
case 3:
parser.registerFunction(id, new NoiseFunction3(noise.apply(seed)));
break;
}
});
for(Map.Entry<String, FunctionTemplate> entry : definedFunctions.entrySet()) {
parser.registerFunction(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue(), parser, parent));
}
this.expression = parser.parse(equation, scope);
}
@Override
public double getNoise(double x, double y) {
return getNoise(x, 0, y);
}
@Override
public double getNoise(double x, double y, double z) {
return expression.evaluate(x, y, z);
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return getNoise(x, y);
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return getNoise(x, y, z);
}
}

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@@ -0,0 +1,70 @@
package com.dfsek.terra.noise.samplers;
import com.dfsek.terra.api.noise.NoiseSampler;
import net.jafama.FastMath;
import java.awt.image.BufferedImage;
public class ImageSampler implements NoiseSampler {
private final BufferedImage image;
private final Channel channel;
private final double frequency;
public ImageSampler(BufferedImage image, Channel channel, double frequency) {
this.image = image;
this.channel = channel;
this.frequency = frequency;
}
@Override
public double getNoise(double x, double y) {
return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()), FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) * 2;
}
@Override
public double getNoise(double x, double y, double z) {
return getNoise(x, y);
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return getNoise(x, y);
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return getNoise(x, y, z);
}
public enum Channel {
RED {
@Override
public int getChannel(int mashed) {
return (mashed >> 16) & 0xff;
}
}, GREEN {
@Override
public int getChannel(int mashed) {
return (mashed >> 8) & 0xff;
}
}, BLUE {
@Override
public int getChannel(int mashed) {
return mashed & 0xff;
}
}, GRAYSCALE {
@Override
public int getChannel(int mashed) {
return (RED.getChannel(mashed) + GREEN.getChannel(mashed) + BLUE.getChannel(mashed)) / 3;
}
}, ALPHA {
@Override
public int getChannel(int mashed) {
return (mashed >> 24) & 0xff;
}
};
public abstract int getChannel(int mashed);
}
}

View File

@@ -0,0 +1,59 @@
package com.dfsek.terra.noise.samplers;
import com.dfsek.terra.api.noise.NoiseSampler;
public class KernelSampler implements NoiseSampler {
private final double[][] kernel;
private final NoiseSampler in;
private double frequency = 1;
public KernelSampler(double[][] kernel, NoiseSampler in) {
this.kernel = kernel;
this.in = in;
}
@Override
public double getNoise(double x, double y) {
return getNoiseSeeded(0, x, y);
}
@Override
public double getNoise(double x, double y, double z) {
return getNoiseSeeded(0, x, y, z);
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
x *= frequency;
y *= frequency;
double accumulator = 0;
for(int kx = 0; kx < kernel.length; kx++) {
for(int ky = 0; ky < kernel[kx].length; ky++) {
accumulator += in.getNoise(x + kx, y + ky) * kernel[kx][ky];
}
}
return accumulator;
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
x *= frequency;
y *= frequency;
z *= frequency;
double accumulator = 0;
for(int kx = 0; kx < kernel.length; kx++) {
for(int ky = 0; ky < kernel[kx].length; ky++) {
accumulator += in.getNoise(x + kx, y, z + ky) * kernel[kx][ky];
}
}
return accumulator;
}
public void setFrequency(double frequency) {
this.frequency = frequency;
}
}

View File

@@ -0,0 +1,565 @@
package com.dfsek.terra.noise.samplers.noise;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.api.vector.Vector2;
import com.dfsek.terra.api.vector.Vector3;
/**
* NoiseSampler implementation for Cellular (Voronoi/Worley) Noise.
*/
public class CellularSampler extends NoiseFunction {
private static final double[] RAND_VECS_3D = {
-0.7292736885d, -0.6618439697d, 0.1735581948d, 0, 0.790292081d, -0.5480887466d, -0.2739291014d, 0, 0.7217578935d, 0.6226212466d,
-0.3023380997d, 0, 0.565683137d, -0.8208298145d, -0.0790000257d, 0, 0.760049034d, -0.5555979497d, -0.3370999617d, 0,
0.3713945616d, 0.5011264475d, 0.7816254623d, 0, -0.1277062463d, -0.4254438999d, -0.8959289049d, 0, -0.2881560924d,
-0.5815838982d, 0.7607405838d, 0, 0.5849561111d, -0.662820239d, -0.4674352136d, 0, 0.3307171178d, 0.0391653737d, 0.94291689d, 0,
0.8712121778d, -0.4113374369d, -0.2679381538d, 0, 0.580981015d, 0.7021915846d, 0.4115677815d, 0, 0.503756873d, 0.6330056931d,
-0.5878203852d, 0, 0.4493712205d, 0.601390195d, 0.6606022552d, 0, -0.6878403724d, 0.09018890807d, -0.7202371714d, 0,
-0.5958956522d, -0.6469350577d, 0.475797649d, 0, -0.5127052122d, 0.1946921978d, -0.8361987284d, 0, -0.9911507142d,
-0.05410276466d, -0.1212153153d, 0, -0.2149721042d, 0.9720882117d, -0.09397607749d, 0, -0.7518650936d, -0.5428057603d,
0.3742469607d, 0, 0.5237068895d, 0.8516377189d, -0.02107817834d, 0, 0.6333504779d, 0.1926167129d, -0.7495104896d, 0,
-0.06788241606d, 0.3998305789d, 0.9140719259d, 0, -0.5538628599d, -0.4729896695d, -0.6852128902d, 0, -0.7261455366d,
-0.5911990757d, 0.3509933228d, 0, -0.9229274737d, -0.1782808786d, 0.3412049336d, 0, -0.6968815002d, 0.6511274338d,
0.3006480328d, 0, 0.9608044783d, -0.2098363234d, -0.1811724921d, 0, 0.06817146062d, -0.9743405129d, 0.2145069156d, 0,
-0.3577285196d, -0.6697087264d, -0.6507845481d, 0, -0.1868621131d, 0.7648617052d, -0.6164974636d, 0, -0.6541697588d,
0.3967914832d, 0.6439087246d, 0, 0.6993340405d, -0.6164538506d, 0.3618239211d, 0, -0.1546665739d, 0.6291283928d, 0.7617583057d,
0, -0.6841612949d, -0.2580482182d, -0.6821542638d, 0, 0.5383980957d, 0.4258654885d, 0.7271630328d, 0, -0.5026987823d,
-0.7939832935d, -0.3418836993d, 0, 0.3202971715d, 0.2834415347d, 0.9039195862d, 0, 0.8683227101d, -0.0003762656404d,
-0.4959995258d, 0, 0.791120031d, -0.08511045745d, 0.6057105799d, 0, -0.04011016052d, -0.4397248749d, 0.8972364289d, 0,
0.9145119872d, 0.3579346169d, -0.1885487608d, 0, -0.9612039066d, -0.2756484276d, 0.01024666929d, 0, 0.6510361721d,
-0.2877799159d, -0.7023778346d, 0, -0.2041786351d, 0.7365237271d, 0.644859585d, 0, -0.7718263711d, 0.3790626912d, 0.5104855816d,
0, -0.3060082741d, -0.7692987727d, 0.5608371729d, 0, 0.454007341d, -0.5024843065d, 0.7357899537d, 0, 0.4816795475d,
0.6021208291d, -0.6367380315d, 0, 0.6961980369d, -0.3222197429d, 0.641469197d, 0, -0.6532160499d, -0.6781148932d, 0.3368515753d,
0, 0.5089301236d, -0.6154662304d, -0.6018234363d, 0, -0.1635919754d, -0.9133604627d, -0.372840892d, 0, 0.52408019d,
-0.8437664109d, 0.1157505864d, 0, 0.5902587356d, 0.4983817807d, -0.6349883666d, 0, 0.5863227872d, 0.494764745d, 0.6414307729d,
0, 0.6779335087d, 0.2341345225d, 0.6968408593d, 0, 0.7177054546d, -0.6858979348d, 0.120178631d, 0, -0.5328819713d,
-0.5205125012d, 0.6671608058d, 0, -0.8654874251d, -0.0700727088d, -0.4960053754d, 0, -0.2861810166d, 0.7952089234d,
0.5345495242d, 0, -0.04849529634d, 0.9810836427d, -0.1874115585d, 0, -0.6358521667d, 0.6058348682d, 0.4781800233d, 0,
0.6254794696d, -0.2861619734d, 0.7258696564d, 0, -0.2585259868d, 0.5061949264d, -0.8227581726d, 0, 0.02136306781d,
0.5064016808d, -0.8620330371d, 0, 0.200111773d, 0.8599263484d, 0.4695550591d, 0, 0.4743561372d, 0.6014985084d, -0.6427953014d,
0, 0.6622993731d, -0.5202474575d, -0.5391679918d, 0, 0.08084972818d, -0.6532720452d, 0.7527940996d, 0, -0.6893687501d,
0.0592860349d, 0.7219805347d, 0, -0.1121887082d, -0.9673185067d, 0.2273952515d, 0, 0.7344116094d, 0.5979668656d, -0.3210532909d,
0, 0.5789393465d, -0.2488849713d, 0.7764570201d, 0, 0.6988182827d, 0.3557169806d, -0.6205791146d, 0, -0.8636845529d,
-0.2748771249d, -0.4224826141d, 0, -0.4247027957d, -0.4640880967d, 0.777335046d, 0, 0.5257722489d, -0.8427017621d,
0.1158329937d, 0, 0.9343830603d, 0.316302472d, -0.1639543925d, 0, -0.1016836419d, -0.8057303073d, -0.5834887393d, 0,
-0.6529238969d, 0.50602126d, -0.5635892736d, 0, -0.2465286165d, -0.9668205684d, -0.06694497494d, 0, -0.9776897119d,
-0.2099250524d, -0.007368825344d, 0, 0.7736893337d, 0.5734244712d, 0.2694238123d, 0, -0.6095087895d, 0.4995678998d,
0.6155736747d, 0, 0.5794535482d, 0.7434546771d, 0.3339292269d, 0, -0.8226211154d, 0.08142581855d, 0.5627293636d, 0,
-0.510385483d, 0.4703667658d, 0.7199039967d, 0, -0.5764971849d, -0.07231656274d, -0.8138926898d, 0, 0.7250628871d,
0.3949971505d, -0.5641463116d, 0, -0.1525424005d, 0.4860840828d, -0.8604958341d, 0, -0.5550976208d, -0.4957820792d,
0.667882296d, 0, -0.1883614327d, 0.9145869398d, 0.357841725d, 0, 0.7625556724d, -0.5414408243d, -0.3540489801d, 0,
-0.5870231946d, -0.3226498013d, -0.7424963803d, 0, 0.3051124198d, 0.2262544068d, -0.9250488391d, 0, 0.6379576059d, 0.577242424d,
-0.5097070502d, 0, -0.5966775796d, 0.1454852398d, -0.7891830656d, 0, -0.658330573d, 0.6555487542d, -0.3699414651d, 0,
0.7434892426d, 0.2351084581d, 0.6260573129d, 0, 0.5562114096d, 0.8264360377d, -0.0873632843d, 0, -0.3028940016d, -0.8251527185d,
0.4768419182d, 0, 0.1129343818d, -0.985888439d, -0.1235710781d, 0, 0.5937652891d, -0.5896813806d, 0.5474656618d, 0,
0.6757964092d, -0.5835758614d, -0.4502648413d, 0, 0.7242302609d, -0.1152719764d, 0.6798550586d, 0, -0.9511914166d,
0.0753623979d, -0.2992580792d, 0, 0.2539470961d, -0.1886339355d, 0.9486454084d, 0, 0.571433621d, -0.1679450851d, -0.8032795685d,
0, -0.06778234979d, 0.3978269256d, 0.9149531629d, 0, 0.6074972649d, 0.733060024d, -0.3058922593d, 0, -0.5435478392d,
0.1675822484d, 0.8224791405d, 0, -0.5876678086d, -0.3380045064d, -0.7351186982d, 0, -0.7967562402d, 0.04097822706d,
-0.6029098428d, 0, -0.1996350917d, 0.8706294745d, 0.4496111079d, 0, -0.02787660336d, -0.9106232682d, -0.4122962022d, 0,
-0.7797625996d, -0.6257634692d, 0.01975775581d, 0, -0.5211232846d, 0.7401644346d, -0.4249554471d, 0, 0.8575424857d,
0.4053272873d, -0.3167501783d, 0, 0.1045223322d, 0.8390195772d, -0.5339674439d, 0, 0.3501822831d, 0.9242524096d, -0.1520850155d,
0, 0.1987849858d, 0.07647613266d, 0.9770547224d, 0, 0.7845996363d, 0.6066256811d, -0.1280964233d, 0, 0.09006737436d,
-0.9750989929d, -0.2026569073d, 0, -0.8274343547d, -0.542299559d, 0.1458203587d, 0, -0.3485797732d, -0.415802277d, 0.840000362d,
0, -0.2471778936d, -0.7304819962d, -0.6366310879d, 0, -0.3700154943d, 0.8577948156d, 0.3567584454d, 0, 0.5913394901d,
-0.548311967d, -0.5913303597d, 0, 0.1204873514d, -0.7626472379d, -0.6354935001d, 0, 0.616959265d, 0.03079647928d, 0.7863922953d,
0, 0.1258156836d, -0.6640829889d, -0.7369967419d, 0, -0.6477565124d, -0.1740147258d, -0.7417077429d, 0, 0.6217889313d,
-0.7804430448d, -0.06547655076d, 0, 0.6589943422d, -0.6096987708d, 0.4404473475d, 0, -0.2689837504d, -0.6732403169d,
-0.6887635427d, 0, -0.3849775103d, 0.5676542638d, 0.7277093879d, 0, 0.5754444408d, 0.8110471154d, -0.1051963504d, 0,
0.9141593684d, 0.3832947817d, 0.131900567d, 0, -0.107925319d, 0.9245493968d, 0.3654593525d, 0, 0.377977089d, 0.3043148782d,
0.8743716458d, 0, -0.2142885215d, -0.8259286236d, 0.5214617324d, 0, 0.5802544474d, 0.4148098596d, -0.7008834116d, 0,
-0.1982660881d, 0.8567161266d, -0.4761596756d, 0, -0.03381553704d, 0.3773180787d, -0.9254661404d, 0, -0.6867922841d,
-0.6656597827d, 0.2919133642d, 0, 0.7731742607d, -0.2875793547d, -0.5652430251d, 0, -0.09655941928d, 0.9193708367d,
-0.3813575004d, 0, 0.2715702457d, -0.9577909544d, -0.09426605581d, 0, 0.2451015704d, -0.6917998565d, -0.6792188003d, 0,
0.977700782d, -0.1753855374d, 0.1155036542d, 0, -0.5224739938d, 0.8521606816d, 0.02903615945d, 0, -0.7734880599d,
-0.5261292347d, 0.3534179531d, 0, -0.7134492443d, -0.269547243d, 0.6467878011d, 0, 0.1644037271d, 0.5105846203d, -0.8439637196d,
0, 0.6494635788d, 0.05585611296d, 0.7583384168d, 0, -0.4711970882d, 0.5017280509d, -0.7254255765d, 0, -0.6335764307d,
-0.2381686273d, -0.7361091029d, 0, -0.9021533097d, -0.270947803d, -0.3357181763d, 0, -0.3793711033d, 0.872258117d,
0.3086152025d, 0, -0.6855598966d, -0.3250143309d, 0.6514394162d, 0, 0.2900942212d, -0.7799057743d, -0.5546100667d, 0,
-0.2098319339d, 0.85037073d, 0.4825351604d, 0, -0.4592603758d, 0.6598504336d, -0.5947077538d, 0, 0.8715945488d, 0.09616365406d,
-0.4807031248d, 0, -0.6776666319d, 0.7118504878d, -0.1844907016d, 0, 0.7044377633d, 0.312427597d, 0.637304036d, 0,
-0.7052318886d, -0.2401093292d, -0.6670798253d, 0, 0.081921007d, -0.7207336136d, -0.6883545647d, 0, -0.6993680906d,
-0.5875763221d, -0.4069869034d, 0, -0.1281454481d, 0.6419895885d, 0.7559286424d, 0, -0.6337388239d, -0.6785471501d,
-0.3714146849d, 0, 0.5565051903d, -0.2168887573d, -0.8020356851d, 0, -0.5791554484d, 0.7244372011d, -0.3738578718d, 0,
0.1175779076d, -0.7096451073d, 0.6946792478d, 0, -0.6134619607d, 0.1323631078d, 0.7785527795d, 0, 0.6984635305d,
-0.02980516237d, -0.715024719d, 0, 0.8318082963d, -0.3930171956d, 0.3919597455d, 0, 0.1469576422d, 0.05541651717d,
-0.9875892167d, 0, 0.708868575d, -0.2690503865d, 0.6520101478d, 0, 0.2726053183d, 0.67369766d, -0.68688995d, 0, -0.6591295371d,
0.3035458599d, -0.6880466294d, 0, 0.4815131379d, -0.7528270071d, 0.4487723203d, 0, 0.9430009463d, 0.1675647412d, -0.2875261255d,
0, 0.434802957d, 0.7695304522d, -0.4677277752d, 0, 0.3931996188d, 0.594473625d, 0.7014236729d, 0, 0.7254336655d, -0.603925654d,
0.3301814672d, 0, 0.7590235227d, -0.6506083235d, 0.02433313207d, 0, -0.8552768592d, -0.3430042733d, 0.3883935666d, 0,
-0.6139746835d, 0.6981725247d, 0.3682257648d, 0, -0.7465905486d, -0.5752009504d, 0.3342849376d, 0, 0.5730065677d, 0.810555537d,
-0.1210916791d, 0, -0.9225877367d, -0.3475211012d, -0.167514036d, 0, -0.7105816789d, -0.4719692027d, -0.5218416899d, 0,
-0.08564609717d, 0.3583001386d, 0.929669703d, 0, -0.8279697606d, -0.2043157126d, 0.5222271202d, 0, 0.427944023d, 0.278165994d,
0.8599346446d, 0, 0.5399079671d, -0.7857120652d, -0.3019204161d, 0, 0.5678404253d, -0.5495413974d, -0.6128307303d, 0,
-0.9896071041d, 0.1365639107d, -0.04503418428d, 0, -0.6154342638d, -0.6440875597d, 0.4543037336d, 0, 0.1074204368d,
-0.7946340692d, 0.5975094525d, 0, -0.3595449969d, -0.8885529948d, 0.28495784d, 0, -0.2180405296d, 0.1529888965d, 0.9638738118d,
0, -0.7277432317d, -0.6164050508d, -0.3007234646d, 0, 0.7249729114d, -0.00669719484d, 0.6887448187d, 0, -0.5553659455d,
-0.5336586252d, 0.6377908264d, 0, 0.5137558015d, 0.7976208196d, -0.3160000073d, 0, -0.3794024848d, 0.9245608561d,
-0.03522751494d, 0, 0.8229248658d, 0.2745365933d, -0.4974176556d, 0, -0.5404114394d, 0.6091141441d, 0.5804613989d, 0,
0.8036581901d, -0.2703029469d, 0.5301601931d, 0, 0.6044318879d, 0.6832968393d, 0.4095943388d, 0, 0.06389988817d, 0.9658208605d,
-0.2512108074d, 0, 0.1087113286d, 0.7402471173d, -0.6634877936d, 0, -0.713427712d, -0.6926784018d, 0.1059128479d, 0,
0.6458897819d, -0.5724548511d, -0.5050958653d, 0, -0.6553931414d, 0.7381471625d, 0.159995615d, 0, 0.3910961323d, 0.9188871375d,
-0.05186755998d, 0, -0.4879022471d, -0.5904376907d, 0.6429111375d, 0, 0.6014790094d, 0.7707441366d, -0.2101820095d, 0,
-0.5677173047d, 0.7511360995d, 0.3368851762d, 0, 0.7858573506d, 0.226674665d, 0.5753666838d, 0, -0.4520345543d, -0.604222686d,
-0.6561857263d, 0, 0.002272116345d, 0.4132844051d, -0.9105991643d, 0, -0.5815751419d, -0.5162925989d, 0.6286591339d, 0,
-0.03703704785d, 0.8273785755d, 0.5604221175d, 0, -0.5119692504d, 0.7953543429d, -0.3244980058d, 0, -0.2682417366d,
-0.9572290247d, -0.1084387619d, 0, -0.2322482736d, -0.9679131102d, -0.09594243324d, 0, 0.3554328906d, -0.8881505545d,
0.2913006227d, 0, 0.7346520519d, -0.4371373164d, 0.5188422971d, 0, 0.9985120116d, 0.04659011161d, -0.02833944577d, 0,
-0.3727687496d, -0.9082481361d, 0.1900757285d, 0, 0.91737377d, -0.3483642108d, 0.1925298489d, 0, 0.2714911074d, 0.4147529736d,
-0.8684886582d, 0, 0.5131763485d, -0.7116334161d, 0.4798207128d, 0, -0.8737353606d, 0.18886992d, -0.4482350644d, 0,
0.8460043821d, -0.3725217914d, 0.3814499973d, 0, 0.8978727456d, -0.1780209141d, -0.4026575304d, 0, 0.2178065647d,
-0.9698322841d, -0.1094789531d, 0, -0.1518031304d, -0.7788918132d, -0.6085091231d, 0, -0.2600384876d, -0.4755398075d,
-0.8403819825d, 0, 0.572313509d, -0.7474340931d, -0.3373418503d, 0, -0.7174141009d, 0.1699017182d, -0.6756111411d, 0,
-0.684180784d, 0.02145707593d, -0.7289967412d, 0, -0.2007447902d, 0.06555605789d, -0.9774476623d, 0, -0.1148803697d,
-0.8044887315d, 0.5827524187d, 0, -0.7870349638d, 0.03447489231d, 0.6159443543d, 0, -0.2015596421d, 0.6859872284d,
0.6991389226d, 0, -0.08581082512d, -0.10920836d, -0.9903080513d, 0, 0.5532693395d, 0.7325250401d, -0.396610771d, 0,
-0.1842489331d, -0.9777375055d, -0.1004076743d, 0, 0.0775473789d, -0.9111505856d, 0.4047110257d, 0, 0.1399838409d,
0.7601631212d, -0.6344734459d, 0, 0.4484419361d, -0.845289248d, 0.2904925424d, 0
};
private static final double[] RAND_VECS_2D = {
-0.2700222198d, -0.9628540911d, 0.3863092627d, -0.9223693152d, 0.04444859006d, -0.999011673d, -0.5992523158d, -0.8005602176d,
-0.7819280288d, 0.6233687174d, 0.9464672271d, 0.3227999196d, -0.6514146797d, -0.7587218957d, 0.9378472289d, 0.347048376d,
-0.8497875957d, -0.5271252623d, -0.879042592d, 0.4767432447d, -0.892300288d, -0.4514423508d, -0.379844434d, -0.9250503802d,
-0.9951650832d, 0.0982163789d, 0.7724397808d, -0.6350880136d, 0.7573283322d, -0.6530343002d, -0.9928004525d, -0.119780055d,
-0.0532665713d, 0.9985803285d, 0.9754253726d, -0.2203300762d, -0.7665018163d, 0.6422421394d, 0.991636706d, 0.1290606184d,
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0.08925509731d, -0.996008799d, 0.5354071276d, -0.8445941083d, -0.1053576186d, 0.9944343981d, -0.9890284586d, 0.1477251101d,
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0.3015207509d, 0.9534596146d, -0.9575110528d, 0.2883965738d, 0.9715802154d, -0.2367105511d, 0.229981792d, 0.9731949318d,
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0.8508156371d, 0.52546432d, 0.9985032451d, -0.05469249926d, 0.1971371563d, -0.9803759185d, 0.6607855748d, -0.7505747292d,
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0.9877404807d, -0.1561049093d, -0.9034455656d, 0.4287028224d, 0.1269804218d, -0.9919052235d, -0.3819600854d, 0.924178821d,
0.9754625894d, 0.2201652486d, -0.3204015856d, -0.9472818081d, -0.9874760884d, 0.1577687387d, 0.02535348474d, -0.9996785487d,
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0.3185392127d, -0.9479096845d, 0.8880043089d, 0.4598351306d, 0.6476921488d, -0.7619021462d, 0.9820241299d, 0.1887554194d,
0.9357275128d, -0.3527237187d, -0.8894895414d, 0.4569555293d, 0.7922791302d, 0.6101588153d, 0.7483818261d, 0.6632681526d,
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0.9799148216d, -0.1994165048d, -0.580730673d, -0.8140957471d, -0.4700049791d, -0.8826637636d, 0.2409492979d, 0.9705377045d,
0.9437816757d, -0.3305694308d, -0.8927998638d, -0.4504535528d, -0.8069622304d, 0.5906030467d, 0.06258973166d, 0.9980393407d,
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0.8165471961d, 0.5772786819d, 0.2697460475d, 0.962931498d, -0.7306287391d, -0.6827749597d, -0.7590952064d, -0.6509796216d,
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0.1702942185d, -0.9853932612d, 0.2695973274d, 0.9629731466d, 0.5519612192d, -0.8338697815d, 0.225657487d, -0.9742067022d,
0.4215262855d, -0.9068161835d, 0.4881873305d, -0.8727388672d, -0.3683854996d, -0.9296731273d, -0.9825390578d, 0.1860564427d,
0.81256471d, 0.5828709909d, 0.3196460933d, -0.9475370046d, 0.9570913859d, 0.2897862643d, -0.6876655497d, -0.7260276109d,
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0.6394653183d, 0.7688199442d, -0.01623847064d, -0.9998681473d, -0.9955014666d, -0.09474613458d, -0.81453315d, 0.580117012d,
0.4037327978d, -0.9148769469d, 0.9944263371d, 0.1054336766d, -0.1624711654d, 0.9867132919d, -0.9949487814d, -0.100383875d,
-0.6995302564d, 0.7146029809d, 0.5263414922d, -0.85027327d, -0.5395221479d, 0.841971408d, 0.6579370318d, 0.7530729462d,
0.01426758847d, -0.9998982128d, -0.6734383991d, 0.7392433447d, 0.639412098d, -0.7688642071d, 0.9211571421d, 0.3891908523d,
-0.146637214d, -0.9891903394d, -0.782318098d, 0.6228791163d, -0.5039610839d, -0.8637263605d, -0.7743120191d, -0.6328039957d,
};
private DistanceFunction distanceFunction = DistanceFunction.EuclideanSq;
private ReturnType returnType = ReturnType.Distance;
private double jitterModifier = 1.0;
private NoiseSampler noiseLookup;
public CellularSampler(int seed) {
super(seed);
noiseLookup = new OpenSimplex2Sampler(seed);
}
public void setDistanceFunction(DistanceFunction distanceFunction) {
this.distanceFunction = distanceFunction;
}
public void setJitterModifier(double jitterModifier) {
this.jitterModifier = jitterModifier;
}
public void setNoiseLookup(NoiseSampler noiseLookup) {
this.noiseLookup = noiseLookup;
}
public void setReturnType(ReturnType returnType) {
this.returnType = returnType;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
int xr = fastRound(x);
int yr = fastRound(y);
double distance0 = Double.MAX_VALUE;
double distance1 = Double.MAX_VALUE;
double distance2 = Double.MAX_VALUE;
int closestHash = 0;
double cellularJitter = 0.43701595 * jitterModifier;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
Vector2 center = new Vector2(x, y);
switch(distanceFunction) {
default:
case Euclidean:
case EuclideanSq:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = vecX * vecX + vecY * vecY;
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Manhattan:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = fastAbs(vecX) + fastAbs(vecY);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Hybrid:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
center.setZ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
}
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
distance0 = fastSqrt(distance0);
if(returnType != ReturnType.CellValue) {
distance1 = fastSqrt(distance1);
}
}
switch(returnType) {
case CellValue:
return closestHash * (1 / 2147483648.0);
case Distance:
return distance0 - 1;
case Distance2:
return distance1 - 1;
case Distance2Add:
return (distance1 + distance0) * 0.5 - 1;
case Distance2Sub:
return distance1 - distance0 - 1;
case Distance2Mul:
return distance1 * distance0 * 0.5 - 1;
case Distance2Div:
return distance0 / distance1 - 1;
case NoiseLookup:
return noiseLookup.getNoise(center.getX(), center.getZ());
case Distance3:
return distance2 - 1;
case Distance3Add:
return (distance2 + distance0) * 0.5 - 1;
case Distance3Sub:
return distance2 - distance0 - 1;
case Distance3Mul:
return distance2 * distance0 - 1;
case Distance3Div:
return distance0 / distance2 - 1;
default:
return 0;
}
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
int xr = fastRound(x);
int yr = fastRound(y);
int zr = fastRound(z);
double distance0 = Double.MAX_VALUE;
double distance1 = Double.MAX_VALUE;
double distance2 = Double.MAX_VALUE;
int closestHash = 0;
double cellularJitter = 0.39614353 * jitterModifier;
int xPrimed = (xr - 1) * PRIME_X;
int yPrimedBase = (yr - 1) * PRIME_Y;
int zPrimedBase = (zr - 1) * PRIME_Z;
Vector3 center = new Vector3(x, y, z);
switch(distanceFunction) {
case Euclidean:
case EuclideanSq:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
center.setZ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Manhattan:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
center.setZ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Hybrid:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) +
(vecX * vecX + vecY * vecY + vecZ * vecZ);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
center.setX((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
center.setY((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
center.setZ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
default:
break;
}
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
distance0 = fastSqrt(distance0);
if(returnType != ReturnType.CellValue) {
distance1 = fastSqrt(distance1);
}
}
switch(returnType) {
case CellValue:
return closestHash * (1 / 2147483648.0);
case Distance:
return distance0 - 1;
case Distance2:
return distance1 - 1;
case Distance2Add:
return (distance1 + distance0) * 0.5 - 1;
case Distance2Sub:
return distance1 - distance0 - 1;
case Distance2Mul:
return distance1 * distance0 * 0.5 - 1;
case Distance2Div:
return distance0 / distance1 - 1;
case NoiseLookup:
return noiseLookup.getNoise(center.getX(), center.getY(), center.getZ());
case Distance3:
return distance2 - 1;
case Distance3Add:
return (distance2 + distance0) * 0.5 - 1;
case Distance3Sub:
return distance2 - distance0 - 1;
case Distance3Mul:
return distance2 * distance0 - 1;
case Distance3Div:
return distance0 / distance2 - 1;
default:
return 0;
}
}
public enum DistanceFunction {
Euclidean,
EuclideanSq,
Manhattan,
Hybrid
}
public enum ReturnType {
CellValue,
Distance,
Distance2,
Distance2Add,
Distance2Sub,
Distance2Mul,
Distance2Div,
NoiseLookup,
Distance3,
Distance3Add,
Distance3Sub,
Distance3Mul,
Distance3Div
}
}

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package com.dfsek.terra.noise.samplers.noise;
/**
* Sampler3D implementation that returns a constant.
*/
public class ConstantSampler extends NoiseFunction {
private final double constant;
public ConstantSampler(double constant) {
super(0);
this.constant = constant;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
return constant;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
return constant;
}
}

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package com.dfsek.terra.noise.samplers.noise;
import com.dfsek.paralithic.Expression;
import com.dfsek.paralithic.eval.parser.Parser;
import com.dfsek.paralithic.eval.parser.Scope;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.paralithic.functions.Function;
import java.util.Map;
/**
* NoiseSampler implementation using a Paralithic expression.
*/
public class ExpressionFunction extends NoiseFunction {
private final Expression expression;
public ExpressionFunction(Map<String, Function> functions, String eq, Map<String, Double> vars) throws ParseException {
super(0);
Parser p = new Parser();
Scope scope = new Scope();
scope.addInvocationVariable("x");
scope.addInvocationVariable("y");
scope.addInvocationVariable("z");
vars.forEach(scope::create);
functions.forEach(p::registerFunction);
expression = p.parse(eq, scope);
frequency = 1;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
return expression.evaluate(x, 0, y);
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
return expression.evaluate(x, y, z);
}
}

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package com.dfsek.terra.noise.samplers.noise;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import net.jafama.FastMath;
public class GaborNoiseSampler extends NoiseFunction {
private final WhiteNoiseSampler rand;
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 omega0 = Math.PI * 0.25;
private boolean isotropic = true;
private double impulsesPerKernel = 64d;
private double impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
private double impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
private double g = FastMath.exp(-impulsesPerCell);
public GaborNoiseSampler(int seed) {
super(seed);
rand = new WhiteNoiseSampler(seed);
}
public void setIsotropic(boolean isotropic) {
this.isotropic = isotropic;
}
public void setImpulsesPerKernel(double impulsesPerKernel) {
this.impulsesPerKernel = impulsesPerKernel;
recalculateRadiusAndDensity();
}
public void setA(double a) {
this.a = a;
recalculateRadiusAndDensity();
}
public void setFrequency0(double f0) {
this.f0 = f0;
}
public void setRotation(double omega0) {
this.omega0 = Math.PI * omega0;
}
public void setDeviation(double k) {
this.k = k;
}
private void recalculateRadiusAndDensity() {
kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / this.a);
impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
g = FastMath.exp(-impulsesPerCell);
}
@Override
public double getNoiseRaw(int seed, double x, double z) {
return gaborNoise(seed, x, z);
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
return gaborNoise(seed, x, z);
}
private double gaborNoise(int seed, double x, double y) {
x /= kernelRadius;
y /= kernelRadius;
int xi = fastFloor(x);
int yi = fastFloor(y);
double xf = x - xi;
double yf = y - yi;
double noise = 0;
for(int dx = -1; dx <= 1; dx++) {
for(int dz = -1; dz <= 1; dz++) {
noise += calculateCell(seed, xi + dx, yi + dz, xf - dx, yf - dz);
}
}
return noise;
}
private double calculateCell(int seed, int xi, int yi, double x, double y) {
long mashedSeed = murmur64(31L * xi + yi) + seed;
double gaussianSource = (rand.getNoiseRaw(mashedSeed++) + 1) / 2;
int impulses = 0;
while(gaussianSource > g) {
impulses++;
gaussianSource *= (rand.getNoiseRaw(mashedSeed++) + 1) / 2;
}
double noise = 0;
for(int i = 0; i < impulses; i++) {
noise += rand.getNoiseRaw(mashedSeed++) * gabor(isotropic ? (rand.getNoiseRaw(mashedSeed++) + 1) * Math.PI : omega0, x * kernelRadius, y * kernelRadius);
}
return noise;
}
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(omega_0))));
}
}

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package com.dfsek.terra.noise.samplers.noise;
import com.dfsek.terra.api.noise.NoiseSampler;
import net.jafama.FastMath;
@SuppressWarnings("ManualMinMaxCalculation")
public abstract class NoiseFunction implements NoiseSampler {
// Hashing
protected static final int PRIME_X = 501125321;
protected static final int PRIME_Y = 1136930381;
protected static final int PRIME_Z = 1720413743;
protected double frequency = 0.02d;
protected int seed;
public NoiseFunction(int seed) {
this.seed = seed;
}
protected static int fastFloor(double f) {
return f >= 0 ? (int) f : (int) f - 1;
}
static final int precision = 100;
protected static int hash(int seed, int xPrimed, int yPrimed, int zPrimed) {
int hash = seed ^ xPrimed ^ yPrimed ^ zPrimed;
hash *= 0x27d4eb2d;
return hash;
}
protected static int hash(int seed, int xPrimed, int yPrimed) {
int hash = seed ^ xPrimed ^ yPrimed;
hash *= 0x27d4eb2d;
return hash;
}
static final int modulus = 360 * precision;
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);
}
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 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;
}
private static double sinLookup(int a) {
return a >= 0 ? sin[a % (modulus)] : -sin[-a % (modulus)];
}
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));
}
public void setSeed(int seed) {
this.seed = seed;
}
public double getFrequency() {
return frequency;
}
public void setFrequency(double frequency) {
this.frequency = frequency;
}
@Override
public double getNoise(double x, double y) {
return getNoiseSeeded(seed, x, y);
}
@Override
public double getNoise(double x, double y, double z) {
return getNoiseSeeded(seed, x, y, z);
}
@Override
public double getNoiseSeeded(int seed, double x, double y) {
return getNoiseRaw(seed, x * frequency, y * frequency);
}
@Override
public double getNoiseSeeded(int seed, double x, double y, double z) {
return getNoiseRaw(seed, x * frequency, y * frequency, z * frequency);
}
public abstract double getNoiseRaw(int seed, double x, double y);
public abstract double getNoiseRaw(int seed, double x, double y, double z);
}

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package com.dfsek.terra.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
public class BrownianMotionSampler extends FractalNoiseFunction {
public BrownianMotionSampler(int seed, NoiseSampler input) {
super(seed, input);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = input.getNoiseSeeded(seed++, x, y);
sum += noise * amp;
amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
x *= lacunarity;
y *= lacunarity;
amp *= gain;
}
return sum;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = input.getNoiseSeeded(seed++, x, y, z);
sum += noise * amp;
amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);
x *= lacunarity;
y *= lacunarity;
z *= lacunarity;
amp *= gain;
}
return sum;
}
}

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package com.dfsek.terra.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
public abstract class FractalNoiseFunction extends NoiseFunction {
protected final NoiseSampler input;
protected double fractalBounding = 1 / 1.75;
protected int octaves = 3;
protected double gain = 0.5;
protected double lacunarity = 2.0d;
protected double weightedStrength = 0.0d;
public FractalNoiseFunction(int seed, NoiseSampler input) {
super(seed);
this.input = input;
frequency = 1;
}
public void setWeightedStrength(double weightedStrength) {
this.weightedStrength = weightedStrength;
}
protected void calculateFractalBounding() {
double gain = fastAbs(this.gain);
double amp = gain;
double ampFractal = 1.0;
for(int i = 1; i < octaves; i++) {
ampFractal += amp;
amp *= gain;
}
fractalBounding = 1 / ampFractal;
}
public void setOctaves(int octaves) {
this.octaves = octaves;
calculateFractalBounding();
}
public void setGain(double gain) {
this.gain = gain;
calculateFractalBounding();
}
public void setLacunarity(double lacunarity) {
this.lacunarity = lacunarity;
}
}

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package com.dfsek.terra.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
public class PingPongSampler extends FractalNoiseFunction {
private double pingPongStrength = 2.0;
public PingPongSampler(int seed, NoiseSampler input) {
super(seed, input);
}
private static double pingPong(double t) {
t -= (int) (t * 0.5f) << 1;
return t < 1 ? t : 2 - t;
}
public void setPingPongStrength(double strength) {
this.pingPongStrength = strength;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.getNoiseSeeded(seed++, x, y) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
amp *= gain;
}
return sum;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.getNoiseSeeded(seed++, x, y, z) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
z *= lacunarity;
amp *= gain;
}
return sum;
}
}

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package com.dfsek.terra.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
public class RidgedFractalSampler extends FractalNoiseFunction {
public RidgedFractalSampler(int seed, NoiseSampler input) {
super(seed, input);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.getNoiseSeeded(seed++, x, y));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
amp *= gain;
}
return sum;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
double sum = 0;
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.getNoiseSeeded(seed++, x, y, z));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
z *= lacunarity;
amp *= gain;
}
return sum;
}
}

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package com.dfsek.terra.noise.samplers.noise.random;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
/**
* NoiseSampler implementation to provide random, normally distributed (Gaussian) noise.
*/
public class GaussianNoiseSampler extends NoiseFunction {
private final WhiteNoiseSampler whiteNoiseSampler; // Back with a white noise sampler.
public GaussianNoiseSampler(int seed) {
super(seed);
whiteNoiseSampler = new WhiteNoiseSampler(seed);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
double v1, v2, s;
do {
v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y);
s = v1 * v1 + v2 * v2;
} while(s >= 1 || s == 0);
double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);
return v1 * multiplier;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
double v1, v2, s;
do {
v1 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
v2 = whiteNoiseSampler.getNoiseSeeded(seed++, x, y, z);
s = v1 * v1 + v2 * v2;
} while(s >= 1 || s == 0);
double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s) / s);
return v1 * multiplier;
}
}

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package com.dfsek.terra.noise.samplers.noise.random;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
/**
* NoiseSampler implementation to produce random, uniformly distributed (white) noise.
*/
public class WhiteNoiseSampler extends NoiseFunction {
private static final long POSITIVE_POW1 = 0b01111111111L << 52; // Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
public WhiteNoiseSampler(int seed) {
super(seed);
}
public double getNoiseRaw(long seed) {
return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
return (getNoiseUnmapped(seed, x, y) - 1.5) * 2;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
return (getNoiseUnmapped(seed, x, y, z) - 1.5) * 2;
}
public double getNoiseUnmapped(int seed, double x, double y, double z) {
long base = ((randomBits(seed, x, y, z)) & 0x000fffffffffffffL) | POSITIVE_POW1; // Sign and exponent
return Double.longBitsToDouble(base);
}
public double getNoiseUnmapped(int seed, double x, double y) {
long base = (randomBits(seed, x, y) & 0x000fffffffffffffL) | POSITIVE_POW1; // Sign and exponent
return Double.longBitsToDouble(base);
}
public long randomBits(int seed, double x, double y, double z) {
long hashX = Double.doubleToRawLongBits(x) ^ seed;
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
long hash = (((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed) + Double.doubleToRawLongBits(z);
return murmur64(hash);
}
public long randomBits(int seed, double x, double y) {
long hashX = Double.doubleToRawLongBits(x) ^ seed;
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
long hash = ((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed;
return murmur64(hash);
}
}

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package com.dfsek.terra.noise.samplers.noise.simplex;
/**
* NoiseSampler implementation to provide OpenSimplex2 (Smooth Variant) noise.
*/
public class OpenSimplex2SSampler extends SimplexStyleSampler {
public OpenSimplex2SSampler(int seed) {
super(seed);
}
@Override
@SuppressWarnings("NumericOverflow")
public double getNoiseRaw(int seed, double x, double y) {
// 2D OpenSimplex2S case is a modified 2D simplex noise.
final double SQRT3 = 1.7320508075688772935274463415059;
final double G2 = (3 - SQRT3) / 6;
final double F2 = 0.5f * (SQRT3 - 1);
double s = (x + y) * F2;
x += s;
y += s;
int i = fastFloor(x);
int j = fastFloor(y);
double xi = x - i;
double yi = y - j;
i *= PRIME_X;
j *= PRIME_Y;
int i1 = i + PRIME_X;
int j1 = j + PRIME_Y;
double t = (xi + yi) * G2;
double x0 = xi - t;
double y0 = yi - t;
double a0 = (2.0 / 3.0) - x0 * x0 - y0 * y0;
double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i, j, x0, y0);
double a1 = 2 * (1 - 2 * G2) * (1 / G2 - 2) * t + ((-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a0);
double x1 = x0 - (1 - 2 * G2);
double y1 = y0 - (1 - 2 * G2);
value += (a1 * a1) * (a1 * a1) * gradCoord(seed, i1, j1, x1, y1);
// Nested conditionals were faster than compact bit logic/arithmetic.
double xmyi = xi - yi;
if(t > G2) {
if(xi + xmyi > 1) {
double x2 = x0 + (3 * G2 - 2);
double y2 = y0 + (3 * G2 - 1);
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + (PRIME_X << 1), j + PRIME_Y, x2, y2);
}
} else {
double x2 = x0 + G2;
double y2 = y0 + (G2 - 1);
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
}
}
if(yi - xmyi > 1) {
double x3 = x0 + (3 * G2 - 1);
double y3 = y0 + (3 * G2 - 2);
double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
if(a3 > 0) {
value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j + (PRIME_Y << 1), x3, y3);
}
} else {
double x3 = x0 + (G2 - 1);
double y3 = y0 + G2;
double a3 = (2.0 / 3.0) - x3 * x3 - y3 * y3;
if(a3 > 0) {
value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + PRIME_X, j, x3, y3);
}
}
} else {
if(xi + xmyi < 0) {
double x2 = x0 + (1 - G2);
double y2 = y0 - G2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i - PRIME_X, j, x2, y2);
}
} else {
double x2 = x0 + (G2 - 1);
double y2 = y0 + G2;
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + PRIME_X, j, x2, y2);
}
}
if(yi < xmyi) {
double x2 = x0 - G2;
double y2 = y0 - (G2 - 1);
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j - PRIME_Y, x2, y2);
}
} else {
double x2 = x0 + G2;
double y2 = y0 + (G2 - 1);
double a2 = (2.0 / 3.0) - x2 * x2 - y2 * y2;
if(a2 > 0) {
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i, j + PRIME_Y, x2, y2);
}
}
}
return value * 18.24196194486065;
}
@Override
@SuppressWarnings("NumericOverflow")
public double getNoiseRaw(int seed, double x, double y, double z) {
// 3D OpenSimplex2S case uses two offset rotated cube grids.
final double R3 = (2.0 / 3.0);
double r = (x + y + z) * R3; // Rotation, not skew
x = r - x;
y = r - y;
z = r - z;
int i = fastFloor(x);
int j = fastFloor(y);
int k = fastFloor(z);
double xi = x - i;
double yi = y - j;
double zi = z - k;
i *= PRIME_X;
j *= PRIME_Y;
k *= PRIME_Z;
int seed2 = seed + 1293373;
int xNMask = (int) (-0.5 - xi);
int yNMask = (int) (-0.5 - yi);
int zNMask = (int) (-0.5 - zi);
double x0 = xi + xNMask;
double y0 = yi + yNMask;
double z0 = zi + zNMask;
double a0 = 0.75 - x0 * x0 - y0 * y0 - z0 * z0;
double value = (a0 * a0) * (a0 * a0) * gradCoord(seed, i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y0,
z0);
double x1 = xi - 0.5;
double y1 = yi - 0.5;
double z1 = zi - 0.5;
double a1 = 0.75 - x1 * x1 - y1 * y1 - z1 * z1;
value += (a1 * a1) * (a1 * a1) * gradCoord(seed2, i + PRIME_X, j + PRIME_Y, k + PRIME_Z, x1, y1, z1);
double xAFlipMask0 = ((xNMask | 1) << 1) * x1;
double yAFlipMask0 = ((yNMask | 1) << 1) * y1;
double zAFlipMask0 = ((zNMask | 1) << 1) * z1;
double xAFlipMask1 = (-2 - (xNMask << 2)) * x1 - 1.0;
double yAFlipMask1 = (-2 - (yNMask << 2)) * y1 - 1.0;
double zAFlipMask1 = (-2 - (zNMask << 2)) * z1 - 1.0;
boolean skip5 = false;
double a2 = xAFlipMask0 + a0;
if(a2 > 0) {
double x2 = x0 - (xNMask | 1);
value += (a2 * a2) * (a2 * a2) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x2, y0,
z0);
} else {
double a3 = yAFlipMask0 + zAFlipMask0 + a0;
if(a3 > 0) {
double y3 = y0 - (yNMask | 1);
double z3 = z0 - (zNMask | 1);
value += (a3 * a3) * (a3 * a3) * gradCoord(seed, i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x0,
y3, z3);
}
double a4 = xAFlipMask1 + a1;
if(a4 > 0) {
double x4 = (xNMask | 1) + x1;
value += (a4 * a4) * (a4 * a4) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + PRIME_Y, k + PRIME_Z, x4, y1, z1);
skip5 = true;
}
}
boolean skip9 = false;
double a6 = yAFlipMask0 + a0;
if(a6 > 0) {
double y6 = y0 - (yNMask | 1);
value += (a6 * a6) * (a6 * a6) * gradCoord(seed, i + (xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), x0, y6,
z0);
} else {
double a7 = xAFlipMask0 + zAFlipMask0 + a0;
if(a7 > 0) {
double x7 = x0 - (xNMask | 1);
double z7 = z0 - (zNMask | 1);
value += (a7 * a7) * (a7 * a7) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x7,
y0, z7);
}
double a8 = yAFlipMask1 + a1;
if(a8 > 0) {
double y8 = (yNMask | 1) + y1;
value += (a8 * a8) * (a8 * a8) * gradCoord(seed2, i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z, x1, y8, z1);
skip9 = true;
}
}
boolean skipD = false;
double aA = zAFlipMask0 + a0;
if(aA > 0) {
double zA = z0 - (zNMask | 1);
value += (aA * aA) * (aA * aA) * gradCoord(seed, i + (xNMask & PRIME_X), j + (yNMask & PRIME_Y), k + (~zNMask & PRIME_Z), x0, y0,
zA);
} else {
double aB = xAFlipMask0 + yAFlipMask0 + a0;
if(aB > 0) {
double xB = x0 - (xNMask | 1);
double yB = y0 - (yNMask | 1);
value += (aB * aB) * (aB * aB) * gradCoord(seed, i + (~xNMask & PRIME_X), j + (~yNMask & PRIME_Y), k + (zNMask & PRIME_Z), xB,
yB, z0);
}
double aC = zAFlipMask1 + a1;
if(aC > 0) {
double zC = (zNMask | 1) + z1;
value += (aC * aC) * (aC * aC) * gradCoord(seed2, i + PRIME_X, j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), x1, y1, zC);
skipD = true;
}
}
if(!skip5) {
double a5 = yAFlipMask1 + zAFlipMask1 + a1;
if(a5 > 0) {
double y5 = (yNMask | 1) + y1;
double z5 = (zNMask | 1) + z1;
value += (a5 * a5) * (a5 * a5) * gradCoord(seed2, i + PRIME_X, j + (yNMask & (PRIME_Y << 1)), k + (zNMask & (PRIME_Z << 1)),
x1, y5, z5);
}
}
if(!skip9) {
double a9 = xAFlipMask1 + zAFlipMask1 + a1;
if(a9 > 0) {
double x9 = (xNMask | 1) + x1;
double z9 = (zNMask | 1) + z1;
value += (a9 * a9) * (a9 * a9) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + PRIME_Y, k + (zNMask & (PRIME_Z << 1)), x9,
y1, z9);
}
}
if(!skipD) {
double aD = xAFlipMask1 + yAFlipMask1 + a1;
if(aD > 0) {
double xD = (xNMask | 1) + x1;
double yD = (yNMask | 1) + y1;
value += (aD * aD) * (aD * aD) * gradCoord(seed2, i + (xNMask & (PRIME_X << 1)), j + (yNMask & (PRIME_Y << 1)), k + PRIME_Z,
xD, yD, z1);
}
}
return value * 9.046026385208288;
}
}

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package com.dfsek.terra.noise.samplers.noise.simplex;
/**
* NoiseSampler implementation to provide OpenSimplex2 noise.
*/
public class OpenSimplex2Sampler extends SimplexStyleSampler {
private static final double SQRT3 = 1.7320508075688772935274463415059;
public OpenSimplex2Sampler(int seed) {
super(seed);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
// 2D OpenSimplex2 case uses the same algorithm as ordinary Simplex.
final double G2 = (3 - SQRT3) / 6;
final double F2 = 0.5f * (SQRT3 - 1);
double s = (x + y) * F2;
x += s;
y += s;
int i = fastFloor(x);
int j = fastFloor(y);
double xi = x - i;
double yi = y - j;
double t = (xi + yi) * G2;
double x0 = xi - t;
double y0 = yi - t;
i *= PRIME_X;
j *= PRIME_Y;
double n0, n1, n2;
double a = 0.5 - x0 * x0 - y0 * y0;
if(a <= 0) n0 = 0;
else {
n0 = (a * a) * (a * a) * gradCoord(seed, i, j, x0, y0);
}
double c = 2 * (1 - 2 * G2) * (1 / G2 - 2) * t + ((-2 * (1 - 2 * G2) * (1 - 2 * G2)) + a);
if(c <= 0) n2 = 0;
else {
double x2 = x0 + (2 * G2 - 1);
double y2 = y0 + (2 * G2 - 1);
n2 = (c * c) * (c * c) * gradCoord(seed, i + PRIME_X, j + PRIME_Y, x2, y2);
}
if(y0 > x0) {
double x1 = x0 + G2;
double y1 = y0 + (G2 - 1);
double b = 0.5 - x1 * x1 - y1 * y1;
if(b <= 0) n1 = 0;
else {
n1 = (b * b) * (b * b) * gradCoord(seed, i, j + PRIME_Y, x1, y1);
}
} else {
double x1 = x0 + (G2 - 1);
double y1 = y0 + G2;
double b = 0.5 - x1 * x1 - y1 * y1;
if(b <= 0) n1 = 0;
else {
n1 = (b * b) * (b * b) * gradCoord(seed, i + PRIME_X, j, x1, y1);
}
}
return (n0 + n1 + n2) * 99.83685446303647f;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
// 3D OpenSimplex2Sampler case uses two offset rotated cube grids.
final double R3 = (2.0 / 3.0);
double r = (x + y + z) * R3; // Rotation, not skew
x = r - x;
y = r - y;
z = r - z;
int i = fastRound(x);
int j = fastRound(y);
int k = fastRound(z);
double x0 = x - i;
double y0 = y - j;
double z0 = z - k;
int xNSign = (int) (-1.0 - x0) | 1;
int yNSign = (int) (-1.0 - y0) | 1;
int zNSign = (int) (-1.0 - z0) | 1;
double ax0 = xNSign * -x0;
double ay0 = yNSign * -y0;
double az0 = zNSign * -z0;
i *= PRIME_X;
j *= PRIME_Y;
k *= PRIME_Z;
double value = 0;
double a = (0.6f - x0 * x0) - (y0 * y0 + z0 * z0);
for(int l = 0; ; l++) {
if(a > 0) {
value += (a * a) * (a * a) * gradCoord(seed, i, j, k, x0, y0, z0);
}
if(ax0 >= ay0 && ax0 >= az0) {
double b = a + ax0 + ax0;
if(b > 1) {
b -= 1;
value += (b * b) * (b * b) * gradCoord(seed, i - xNSign * PRIME_X, j, k, x0 + xNSign, y0, z0);
}
} else if(ay0 > ax0 && ay0 >= az0) {
double b = a + ay0 + ay0;
if(b > 1) {
b -= 1;
value += (b * b) * (b * b) * gradCoord(seed, i, j - yNSign * PRIME_Y, k, x0, y0 + yNSign, z0);
}
} else {
double b = a + az0 + az0;
if(b > 1) {
b -= 1;
value += (b * b) * (b * b) * gradCoord(seed, i, j, k - zNSign * PRIME_Z, x0, y0, z0 + zNSign);
}
}
if(l == 1) break;
ax0 = 0.5 - ax0;
ay0 = 0.5 - ay0;
az0 = 0.5 - az0;
x0 = xNSign * ax0;
y0 = yNSign * ay0;
z0 = zNSign * az0;
a += (0.75 - ax0) - (ay0 + az0);
i += (xNSign >> 1) & PRIME_X;
j += (yNSign >> 1) & PRIME_Y;
k += (zNSign >> 1) & PRIME_Z;
xNSign = -xNSign;
yNSign = -yNSign;
zNSign = -zNSign;
seed = ~seed;
}
return value * 32.69428253173828125;
}
}

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package com.dfsek.terra.noise.samplers.noise.simplex;
/**
* NoiseSampler implementation to provide Perlin Noise.
*/
public class PerlinSampler extends SimplexStyleSampler {
public PerlinSampler(int seed) {
super(seed);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
int x0 = fastFloor(x);
int y0 = fastFloor(y);
double xd0 = x - x0;
double yd0 = y - y0;
double xd1 = xd0 - 1;
double yd1 = yd0 - 1;
double xs = interpQuintic(xd0);
double ys = interpQuintic(yd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
double xf0 = lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
double xf1 = lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
return lerp(xf0, xf1, ys) * 1.4247691104677813;
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
int x0 = fastFloor(x);
int y0 = fastFloor(y);
int z0 = fastFloor(z);
double xd0 = x - x0;
double yd0 = y - y0;
double zd0 = z - z0;
double xd1 = xd0 - 1;
double yd1 = yd0 - 1;
double zd1 = zd0 - 1;
double xs = interpQuintic(xd0);
double ys = interpQuintic(yd0);
double zs = interpQuintic(zd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
z0 *= PRIME_Z;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
double xf00 = lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
double xf10 = lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
double xf01 = lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
double xf11 = lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
double yf0 = lerp(xf00, xf10, ys);
double yf1 = lerp(xf01, xf11, ys);
return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
}
}

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package com.dfsek.terra.noise.samplers.noise.simplex;
public class SimplexSampler extends SimplexStyleSampler {
private static final Double2[] GRAD_2D = {
new Double2(-1, -1), new Double2(1, -1), new Double2(-1, 1), new Double2(1, 1),
new Double2(0, -1), new Double2(-1, 0), new Double2(0, 1), new Double2(1, 0),
};
private static final Double3[] GRAD_3D = {
new Double3(1, 1, 0), new Double3(-1, 1, 0), new Double3(1, -1, 0), new Double3(-1, -1, 0),
new Double3(1, 0, 1), new Double3(-1, 0, 1), new Double3(1, 0, -1), new Double3(-1, 0, -1),
new Double3(0, 1, 1), new Double3(0, -1, 1), new Double3(0, 1, -1), new Double3(0, -1, -1),
new Double3(1, 1, 0), new Double3(0, -1, 1), new Double3(-1, 1, 0), new Double3(0, -1, -1),
};
private static final double F2 = 1.0 / 2.0;
private static final double F3 = (1.0 / 3.0);
private static final double G2 = 1.0 / 4.0;
private static final double G3 = (1.0 / 6.0);
private static final double G33 = G3 * 3 - 1;
private static final int X_PRIME = 1619;
private static final int Y_PRIME = 31337;
private static final int Z_PRIME = 6971;
public SimplexSampler(int seed) {
super(seed);
}
private static double gradCoord3D(int seed, int x, int y, int z, double xd, double yd, double zd) {
int hash = seed;
hash ^= X_PRIME * x;
hash ^= Y_PRIME * y;
hash ^= Z_PRIME * z;
hash = hash * hash * hash * 60493;
hash = (hash >> 13) ^ hash;
Double3 g = GRAD_3D[hash & 15];
return xd * g.x + yd * g.y + zd * g.z;
}
private static double gradCoord2D(int seed, int x, int y, double xd, double yd) {
int hash = seed;
hash ^= X_PRIME * x;
hash ^= Y_PRIME * y;
hash = hash * hash * hash * 60493;
hash = (hash >> 13) ^ hash;
Double2 g = GRAD_2D[hash & 7];
return xd * g.x + yd * g.y;
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
double t = (x + y) * F2;
int i = fastFloor(x + t);
int j = fastFloor(y + t);
t = (i + j) * G2;
double X0 = i - t;
double Y0 = j - t;
double x0 = x - X0;
double y0 = y - Y0;
int i1, j1;
if(x0 > y0) {
i1 = 1;
j1 = 0;
} else {
i1 = 0;
j1 = 1;
}
double x1 = x0 - i1 + G2;
double y1 = y0 - j1 + G2;
double x2 = x0 - 1 + F2;
double y2 = y0 - 1 + F2;
double n0, n1, n2;
t = 0.5 - x0 * x0 - y0 * y0;
if(t < 0) {
n0 = 0;
} else {
t *= t;
n0 = t * t * gradCoord2D(seed, i, j, x0, y0);
}
t = 0.5 - x1 * x1 - y1 * y1;
if(t < 0) {
n1 = 0;
} else {
t *= t;
n1 = t * t * gradCoord2D(seed, i + i1, j + j1, x1, y1);
}
t = 0.5 - x2 * x2 - y2 * y2;
if(t < 0) {
n2 = 0;
} else {
t *= t;
n2 = t * t * gradCoord2D(seed, i + 1, j + 1, x2, y2);
}
return 50 * (n0 + n1 + n2);
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
double t = (x + y + z) * F3;
int i = fastFloor(x + t);
int j = fastFloor(y + t);
int k = fastFloor(z + t);
t = (i + j + k) * G3;
double x0 = x - (i - t);
double y0 = y - (j - t);
double z0 = z - (k - t);
int i1, j1, k1;
int i2, j2, k2;
if(x0 >= y0) {
if(y0 >= z0) {
i1 = 1;
j1 = 0;
k1 = 0;
i2 = 1;
j2 = 1;
k2 = 0;
} else if(x0 >= z0) {
i1 = 1;
j1 = 0;
k1 = 0;
i2 = 1;
j2 = 0;
k2 = 1;
} else // x0 < z0
{
i1 = 0;
j1 = 0;
k1 = 1;
i2 = 1;
j2 = 0;
k2 = 1;
}
} else // x0 < y0
{
if(y0 < z0) {
i1 = 0;
j1 = 0;
k1 = 1;
i2 = 0;
j2 = 1;
k2 = 1;
} else if(x0 < z0) {
i1 = 0;
j1 = 1;
k1 = 0;
i2 = 0;
j2 = 1;
k2 = 1;
} else // x0 >= z0
{
i1 = 0;
j1 = 1;
k1 = 0;
i2 = 1;
j2 = 1;
k2 = 0;
}
}
double x1 = x0 - i1 + G3;
double y1 = y0 - j1 + G3;
double z1 = z0 - k1 + G3;
double x2 = x0 - i2 + F3;
double y2 = y0 - j2 + F3;
double z2 = z0 - k2 + F3;
double x3 = x0 + G33;
double y3 = y0 + G33;
double z3 = z0 + G33;
double n0, n1, n2, n3;
t = 0.6 - x0 * x0 - y0 * y0 - z0 * z0;
if(t < 0) n0 = 0;
else {
t *= t;
n0 = t * t * gradCoord3D(seed, i, j, k, x0, y0, z0);
}
t = 0.6 - x1 * x1 - y1 * y1 - z1 * z1;
if(t < 0) {
n1 = 0;
} else {
t *= t;
n1 = t * t * gradCoord3D(seed, i + i1, j + j1, k + k1, x1, y1, z1);
}
t = 0.6 - x2 * x2 - y2 * y2 - z2 * z2;
if(t < 0) {
n2 = 0;
} else {
t *= t;
n2 = t * t * gradCoord3D(seed, i + i2, j + j2, k + k2, x2, y2, z2);
}
t = 0.6 - x3 * x3 - y3 * y3 - z3 * z3;
if(t < 0) {
n3 = 0;
} else {
t *= t;
n3 = t * t * gradCoord3D(seed, i + 1, j + 1, k + 1, x3, y3, z3);
}
return 32 * (n0 + n1 + n2 + n3);
}
private static class Double2 {
public final double x, y;
public Double2(double x, double y) {
this.x = x;
this.y = y;
}
}
private static class Double3 {
public final double x, y, z;
public Double3(double x, double y, double z) {
this.x = x;
this.y = y;
this.z = z;
}
}
}

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package com.dfsek.terra.noise.samplers.noise.simplex;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
/**
* Abstract NoiseSampler implementation for simplex-style noise functions.
*/
public abstract class SimplexStyleSampler extends NoiseFunction {
protected static final double[] GRADIENTS_2_D = {
0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
-0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
-0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
-0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
-0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
-0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
-0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
-0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
-0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
-0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
-0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
-0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
-0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
-0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
-0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
-0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
-0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
0.130526192220052d, 0.99144486137381d, 0.38268343236509d, 0.923879532511287d, 0.608761429008721d, 0.793353340291235d,
0.793353340291235d, 0.608761429008721d, 0.923879532511287d, 0.38268343236509d, 0.99144486137381d, 0.130526192220051d,
0.99144486137381d, -0.130526192220051d, 0.923879532511287d, -0.38268343236509d, 0.793353340291235d, -0.60876142900872d,
0.608761429008721d, -0.793353340291235d, 0.38268343236509d, -0.923879532511287d, 0.130526192220052d, -0.99144486137381d,
-0.130526192220052d, -0.99144486137381d, -0.38268343236509d, -0.923879532511287d, -0.608761429008721d, -0.793353340291235d,
-0.793353340291235d, -0.608761429008721d, -0.923879532511287d, -0.38268343236509d, -0.99144486137381d, -0.130526192220052d,
-0.99144486137381d, 0.130526192220051d, -0.923879532511287d, 0.38268343236509d, -0.793353340291235d, 0.608761429008721d,
-0.608761429008721d, 0.793353340291235d, -0.38268343236509d, 0.923879532511287d, -0.130526192220052d, 0.99144486137381d,
0.38268343236509d, 0.923879532511287d, 0.923879532511287d, 0.38268343236509d, 0.923879532511287d, -0.38268343236509d,
0.38268343236509d, -0.923879532511287d, -0.38268343236509d, -0.923879532511287d, -0.923879532511287d, -0.38268343236509d,
-0.923879532511287d, 0.38268343236509d, -0.38268343236509d, 0.923879532511287d,
};
protected static final double[] GRADIENTS_3D = {
0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
0, 1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0,
1, 0, 1, 0, -1, 0, 1, 0, 1, 0, -1, 0, -1, 0, -1, 0,
1, 1, 0, 0, -1, 1, 0, 0, 1, -1, 0, 0, -1, -1, 0, 0,
1, 1, 0, 0, 0, -1, 1, 0, -1, 1, 0, 0, 0, -1, -1, 0
};
public SimplexStyleSampler(int seed) {
super(seed);
}
protected static double gradCoord(int seed, int xPrimed, int yPrimed, double xd, double yd) {
int hash = hash(seed, xPrimed, yPrimed);
hash ^= hash >> 15;
hash &= 127 << 1;
double xg = GRADIENTS_2_D[hash];
double yg = GRADIENTS_2_D[hash | 1];
return xd * xg + yd * yg;
}
protected static double gradCoord(int seed, int xPrimed, int yPrimed, int zPrimed, double xd, double yd, double zd) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
hash ^= hash >> 15;
hash &= 63 << 2;
double xg = GRADIENTS_3D[hash];
double yg = GRADIENTS_3D[hash | 1];
double zg = GRADIENTS_3D[hash | 2];
return xd * xg + yd * yg + zd * zg;
}
}

View File

@@ -0,0 +1,104 @@
package com.dfsek.terra.noise.samplers.noise.value;
public class ValueCubicSampler extends ValueStyleNoise {
public ValueCubicSampler(int seed) {
super(seed);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
int x1 = fastFloor(x);
int y1 = fastFloor(y);
double xs = x - x1;
double ys = y - y1;
x1 *= PRIME_X;
y1 *= PRIME_Y;
int x0 = x1 - PRIME_X;
int y0 = y1 - PRIME_Y;
int x2 = x1 + PRIME_X;
int y2 = y1 + PRIME_Y;
int x3 = x1 + (PRIME_X << 1);
int y3 = y1 + (PRIME_Y << 1);
return cubicLerp(
cubicLerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), valCoord(seed, x2, y0), valCoord(seed, x3, y0),
xs),
cubicLerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), valCoord(seed, x2, y1), valCoord(seed, x3, y1),
xs),
cubicLerp(valCoord(seed, x0, y2), valCoord(seed, x1, y2), valCoord(seed, x2, y2), valCoord(seed, x3, y2),
xs),
cubicLerp(valCoord(seed, x0, y3), valCoord(seed, x1, y3), valCoord(seed, x2, y3), valCoord(seed, x3, y3),
xs),
ys) * (1 / (1.5 * 1.5));
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
int x1 = fastFloor(x);
int y1 = fastFloor(y);
int z1 = fastFloor(z);
double xs = x - x1;
double ys = y - y1;
double zs = z - z1;
x1 *= PRIME_X;
y1 *= PRIME_Y;
z1 *= PRIME_Z;
int x0 = x1 - PRIME_X;
int y0 = y1 - PRIME_Y;
int z0 = z1 - PRIME_Z;
int x2 = x1 + PRIME_X;
int y2 = y1 + PRIME_Y;
int z2 = z1 + PRIME_Z;
int x3 = x1 + (PRIME_X << 1);
int y3 = y1 + (PRIME_Y << 1);
int z3 = z1 + (PRIME_Z << 1);
return cubicLerp(
cubicLerp(
cubicLerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), valCoord(seed, x2, y0, z0),
valCoord(seed, x3, y0, z0), xs),
cubicLerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), valCoord(seed, x2, y1, z0),
valCoord(seed, x3, y1, z0), xs),
cubicLerp(valCoord(seed, x0, y2, z0), valCoord(seed, x1, y2, z0), valCoord(seed, x2, y2, z0),
valCoord(seed, x3, y2, z0), xs),
cubicLerp(valCoord(seed, x0, y3, z0), valCoord(seed, x1, y3, z0), valCoord(seed, x2, y3, z0),
valCoord(seed, x3, y3, z0), xs),
ys),
cubicLerp(
cubicLerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), valCoord(seed, x2, y0, z1),
valCoord(seed, x3, y0, z1), xs),
cubicLerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), valCoord(seed, x2, y1, z1),
valCoord(seed, x3, y1, z1), xs),
cubicLerp(valCoord(seed, x0, y2, z1), valCoord(seed, x1, y2, z1), valCoord(seed, x2, y2, z1),
valCoord(seed, x3, y2, z1), xs),
cubicLerp(valCoord(seed, x0, y3, z1), valCoord(seed, x1, y3, z1), valCoord(seed, x2, y3, z1),
valCoord(seed, x3, y3, z1), xs),
ys),
cubicLerp(
cubicLerp(valCoord(seed, x0, y0, z2), valCoord(seed, x1, y0, z2), valCoord(seed, x2, y0, z2),
valCoord(seed, x3, y0, z2), xs),
cubicLerp(valCoord(seed, x0, y1, z2), valCoord(seed, x1, y1, z2), valCoord(seed, x2, y1, z2),
valCoord(seed, x3, y1, z2), xs),
cubicLerp(valCoord(seed, x0, y2, z2), valCoord(seed, x1, y2, z2), valCoord(seed, x2, y2, z2),
valCoord(seed, x3, y2, z2), xs),
cubicLerp(valCoord(seed, x0, y3, z2), valCoord(seed, x1, y3, z2), valCoord(seed, x2, y3, z2),
valCoord(seed, x3, y3, z2), xs),
ys),
cubicLerp(
cubicLerp(valCoord(seed, x0, y0, z3), valCoord(seed, x1, y0, z3), valCoord(seed, x2, y0, z3),
valCoord(seed, x3, y0, z3), xs),
cubicLerp(valCoord(seed, x0, y1, z3), valCoord(seed, x1, y1, z3), valCoord(seed, x2, y1, z3),
valCoord(seed, x3, y1, z3), xs),
cubicLerp(valCoord(seed, x0, y2, z3), valCoord(seed, x1, y2, z3), valCoord(seed, x2, y2, z3),
valCoord(seed, x3, y2, z3), xs),
cubicLerp(valCoord(seed, x0, y3, z3), valCoord(seed, x1, y3, z3), valCoord(seed, x2, y3, z3),
valCoord(seed, x3, y3, z3), xs),
ys),
zs) * (1 / (1.5 * 1.5 * 1.5));
}
}

View File

@@ -0,0 +1,54 @@
package com.dfsek.terra.noise.samplers.noise.value;
public class ValueSampler extends ValueStyleNoise {
public ValueSampler(int seed) {
super(seed);
}
@Override
public double getNoiseRaw(int seed, double x, double y) {
int x0 = fastFloor(x);
int y0 = fastFloor(y);
double xs = interpHermite(x - x0);
double ys = interpHermite(y - y0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
double xf0 = lerp(valCoord(seed, x0, y0), valCoord(seed, x1, y0), xs);
double xf1 = lerp(valCoord(seed, x0, y1), valCoord(seed, x1, y1), xs);
return lerp(xf0, xf1, ys);
}
@Override
public double getNoiseRaw(int seed, double x, double y, double z) {
int x0 = fastFloor(x);
int y0 = fastFloor(y);
int z0 = fastFloor(z);
double xs = interpHermite(x - x0);
double ys = interpHermite(y - y0);
double zs = interpHermite(z - z0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
z0 *= PRIME_Z;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
double xf00 = lerp(valCoord(seed, x0, y0, z0), valCoord(seed, x1, y0, z0), xs);
double xf10 = lerp(valCoord(seed, x0, y1, z0), valCoord(seed, x1, y1, z0), xs);
double xf01 = lerp(valCoord(seed, x0, y0, z1), valCoord(seed, x1, y0, z1), xs);
double xf11 = lerp(valCoord(seed, x0, y1, z1), valCoord(seed, x1, y1, z1), xs);
double yf0 = lerp(xf00, xf10, ys);
double yf1 = lerp(xf01, xf11, ys);
return lerp(yf0, yf1, zs);
}
}

View File

@@ -0,0 +1,25 @@
package com.dfsek.terra.noise.samplers.noise.value;
import com.dfsek.terra.noise.samplers.noise.NoiseFunction;
public abstract class ValueStyleNoise extends NoiseFunction {
public ValueStyleNoise(int seed) {
super(seed);
}
protected static double valCoord(int seed, int xPrimed, int yPrimed) {
int hash = hash(seed, xPrimed, yPrimed);
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0);
}
protected static double valCoord(int seed, int xPrimed, int yPrimed, int zPrimed) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
hash *= hash;
hash ^= hash << 19;
return hash * (1 / 2147483648.0);
}
}

View File

@@ -1,7 +1,7 @@
package com.dfsek.terra.registry.config;
import com.dfsek.terra.api.structure.LootTable;
import com.dfsek.terra.registry.OpenRegistryImpl;
import com.dfsek.terra.api.structures.loot.LootTable;
public class LootRegistry extends OpenRegistryImpl<LootTable> {
}

View File

@@ -1,13 +1,13 @@
package com.dfsek.terra.registry.config;
import com.dfsek.terra.api.noise.samplers.noise.random.GaussianNoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.noise.samplers.noise.simplex.OpenSimplex2SSampler;
import com.dfsek.terra.api.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.api.noise.samplers.noise.simplex.PerlinSampler;
import com.dfsek.terra.api.noise.samplers.noise.simplex.SimplexSampler;
import com.dfsek.terra.api.noise.samplers.noise.value.ValueCubicSampler;
import com.dfsek.terra.api.noise.samplers.noise.value.ValueSampler;
import com.dfsek.terra.noise.samplers.noise.random.GaussianNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.noise.samplers.noise.simplex.OpenSimplex2SSampler;
import com.dfsek.terra.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.noise.samplers.noise.simplex.PerlinSampler;
import com.dfsek.terra.noise.samplers.noise.simplex.SimplexSampler;
import com.dfsek.terra.noise.samplers.noise.value.ValueCubicSampler;
import com.dfsek.terra.noise.samplers.noise.value.ValueSampler;
import com.dfsek.terra.api.util.seeded.NoiseProvider;
import com.dfsek.terra.config.loaders.config.sampler.templates.DomainWarpTemplate;
import com.dfsek.terra.config.loaders.config.sampler.templates.ImageSamplerTemplate;

View File

@@ -1,7 +1,7 @@
package com.dfsek.terra.registry.config;
import com.dfsek.terra.api.structures.script.StructureScript;
import com.dfsek.terra.api.structure.Structure;
import com.dfsek.terra.registry.OpenRegistryImpl;
public class ScriptRegistry extends OpenRegistryImpl<StructureScript> {
public class ScriptRegistry extends OpenRegistryImpl<Structure> {
}

View File

@@ -7,11 +7,12 @@ import com.dfsek.terra.api.world.BiomeGrid;
import com.dfsek.terra.api.world.TerraWorld;
import com.dfsek.terra.api.world.World;
import com.dfsek.terra.api.world.generator.ChunkData;
import com.dfsek.terra.api.util.world.PaletteUtil;
import com.dfsek.terra.api.util.PaletteUtil;
import com.dfsek.terra.api.world.biome.TerraBiome;
import com.dfsek.terra.api.world.biome.UserDefinedBiome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
import com.dfsek.terra.api.world.generator.Palette;
import com.dfsek.terra.api.world.generator.SamplerCache;
import com.dfsek.terra.api.world.generator.TerraBlockPopulator;
import com.dfsek.terra.api.world.generator.TerraChunkGenerator;
import com.dfsek.terra.config.pack.ConfigPackImpl;
@@ -19,7 +20,6 @@ import com.dfsek.terra.config.templates.BiomeTemplate;
import com.dfsek.terra.api.profiler.ProfileFrame;
import com.dfsek.terra.world.Carver;
import com.dfsek.terra.world.carving.NoiseCarver;
import com.dfsek.terra.world.generation.math.SamplerCache;
import com.dfsek.terra.api.world.generator.Sampler;
import com.dfsek.terra.world.generation.math.samplers.Sampler2D;
import com.dfsek.terra.world.population.CavePopulator;

View File

@@ -17,7 +17,7 @@ import com.dfsek.terra.api.block.data.Waterlogged;
import com.dfsek.terra.api.world.BiomeGrid;
import com.dfsek.terra.api.world.World;
import com.dfsek.terra.api.world.generator.ChunkData;
import com.dfsek.terra.api.util.world.PaletteUtil;
import com.dfsek.terra.api.util.PaletteUtil;
import com.dfsek.terra.api.world.biome.TerraBiome;
import com.dfsek.terra.api.world.biome.UserDefinedBiome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;

View File

@@ -10,10 +10,10 @@ import com.google.common.cache.LoadingCache;
import net.jafama.FastMath;
import org.jetbrains.annotations.NotNull;
public class SamplerCache {
public class SamplerCacheImpl implements com.dfsek.terra.api.world.generator.SamplerCache {
private final LoadingCache<Long, Sampler> cache;
public SamplerCache(TerraPlugin main, TerraWorld world) {
public SamplerCacheImpl(TerraPlugin main, TerraWorld world) {
cache = CacheBuilder.newBuilder().maximumSize(main.getTerraConfig().getSamplerCache())
.build(new CacheLoader<Long, Sampler>() {
@Override
@@ -25,17 +25,20 @@ public class SamplerCache {
});
}
@Override
public Sampler get(int x, int z) {
int cx = FastMath.floorDiv(x, 16);
int cz = FastMath.floorDiv(z, 16);
return getChunk(cx, cz);
}
@Override
public Sampler getChunk(int cx, int cz) {
long key = MathUtil.squash(cx, cz);
return cache.getUnchecked(key);
}
@Override
public void clear() {
cache.invalidateAll();
cache.cleanUp();

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