Update README.md

Allows you to create a block with physics enabled

build.gradle.kts

@@ -1,8 +1,8 @@
 preRelease(true)
 
-versionProjects(":common:api", version("6.3.1"))
-versionProjects(":common:implementation", version("6.3.1"))
-versionProjects(":platforms", version("6.3.1"))
+versionProjects(":common:api", version("6.4.0"))
+versionProjects(":common:implementation", version("6.4.0"))
+versionProjects(":platforms", version("6.4.0"))
 
 
 allprojects {
@@ -20,7 +20,7 @@ allprojects {
     tasks.withType<Test>().configureEach {
         useJUnitPlatform()
         
-        maxHeapSize = "4G"
+        maxHeapSize = "2G"
         ignoreFailures = false
         failFast = true
         maxParallelForks = (Runtime.getRuntime().availableProcessors() - 1).takeIf { it > 0 } ?: 1

common/addons/chunk-generator-noise-3d/build.gradle.kts

@@ -1,4 +1,4 @@
-version = version("1.1.0")
+version = version("1.2.0")
 
 dependencies {
     compileOnlyApi(project(":common:addons:manifest-addon-loader"))

common/addons/chunk-generator-noise-3d/src/main/java/com/dfsek/terra/addons/chunkgenerator/generation/NoiseChunkGenerator3D.java

@@ -155,6 +155,16 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
         return biomeProvider.getBiome(x, y, z, world.getSeed()).getContext().get(paletteInfoPropertyKey).paletteHolder().getPalette(y);
     }
     
+    public double getSlant(int x, int y, int z, WorldProperties world, BiomeProvider biomeProvider) {
+        int fdX = FastMath.floorMod(x, 16);
+        int fdZ = FastMath.floorMod(z, 16);
+        return biomeProvider.getBiome(x, y, z, world.getSeed())
+                            .getContext()
+                            .get(paletteInfoPropertyKey)
+                            .slantHolder()
+                            .calculateSlant(samplerCache.get(x, z, world, biomeProvider), fdX, y, fdZ);
+    }
+    
     public SamplerProvider samplerProvider() {
         return samplerCache;
     }

common/addons/config-noise-function/build.gradle.kts

@@ -1,6 +1,6 @@
 import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
 
-version = version("1.0.0")
+version = version("1.1.0")
 
 dependencies {
     compileOnlyApi(project(":common:addons:manifest-addon-loader"))

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/NoiseAddon.java

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

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/CubicSplinePointTemplate.java

@@ -0,0 +1,25 @@
+package com.dfsek.terra.addons.noise.config;
+
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
+
+import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
+import com.dfsek.terra.api.config.meta.Meta;
+
+
+public class CubicSplinePointTemplate implements ObjectTemplate<Point> {
+    
+    @Value("from")
+    private @Meta double from;
+    
+    @Value("to")
+    private @Meta double to;
+    
+    @Value("gradient")
+    private @Meta double gradient;
+    
+    @Override
+    public Point get() {
+        return new Point(from, to, gradient);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/LinearHeightmapSamplerTemplate.java

@@ -4,6 +4,7 @@ import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 
 import com.dfsek.terra.addons.noise.samplers.LinearHeightmapSampler;
+import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
 
 
@@ -11,14 +12,14 @@ import com.dfsek.terra.api.noise.NoiseSampler;
 public class LinearHeightmapSamplerTemplate extends SamplerTemplate<LinearHeightmapSampler> {
     @Value("sampler")
     @Default
-    private NoiseSampler sampler = NoiseSampler.zero();
+    private @Meta NoiseSampler sampler = NoiseSampler.zero();
     
     @Value("base")
-    private double base;
+    private @Meta double base;
     
     @Value("scale")
     @Default
-    private double scale = 1;
+    private @Meta double scale = 1;
     
     @Override
     public NoiseSampler get() {

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/TranslateSamplerTemplate.java

@@ -0,0 +1,32 @@
+package com.dfsek.terra.addons.noise.config.templates;
+
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.addons.noise.samplers.TranslateSampler;
+import com.dfsek.terra.api.config.meta.Meta;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class TranslateSamplerTemplate extends SamplerTemplate<TranslateSampler> {
+    
+    @Value("sampler")
+    private NoiseSampler sampler;
+    
+    @Value("x")
+    @Default
+    private @Meta double x = 0;
+    
+    @Value("y")
+    @Default
+    private @Meta double y = 0;
+    
+    @Value("z")
+    @Default
+    private @Meta double z = 0;
+    
+    @Override
+    public NoiseSampler get() {
+        return new TranslateSampler(sampler, x, y ,z);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/noise/DistanceSamplerTemplate.java

@@ -0,0 +1,42 @@
+package com.dfsek.terra.addons.noise.config.templates.noise;
+
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
+import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
+import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler.DistanceFunction;
+import com.dfsek.terra.api.config.meta.Meta;
+
+
+public class DistanceSamplerTemplate extends SamplerTemplate<DistanceSampler> {
+    
+    @Value("distance-function")
+    @Default
+    private DistanceSampler.@Meta DistanceFunction distanceFunction = DistanceFunction.Euclidean;
+    
+    @Value("point.x")
+    @Default
+    private @Meta double x = 0;
+    
+    @Value("point.y")
+    @Default
+    private @Meta double y = 0;
+    
+    @Value("point.z")
+    @Default
+    private @Meta double z = 0;
+    
+    @Value("normalize")
+    @Default
+    private @Meta boolean normalize = false;
+    
+    @Value("radius")
+    @Default
+    private @Meta double normalizeRadius = 100;
+    
+    @Override
+    public DistanceSampler get() {
+        return new DistanceSampler(distanceFunction, x, y, z, normalize, normalizeRadius);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/noise/ExpressionFunctionTemplate.java

@@ -8,7 +8,6 @@
 package com.dfsek.terra.addons.noise.config.templates.noise;
 
 import com.dfsek.paralithic.eval.tokenizer.ParseException;
-import com.dfsek.paralithic.functions.Function;
 import com.dfsek.tectonic.api.config.template.annotations.Default;
 import com.dfsek.tectonic.api.config.template.annotations.Value;
 
@@ -19,17 +18,16 @@ import java.util.Map;
 import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
 import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
 import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
-import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
-import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
-import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
 import com.dfsek.terra.addons.noise.samplers.noise.ExpressionFunction;
 import com.dfsek.terra.api.config.meta.Meta;
 import com.dfsek.terra.api.noise.NoiseSampler;
 
+import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
+
 
 @SuppressWarnings({ "FieldMayBeFinal", "unused" })
 public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFunction> {
-    private final Map<String, DimensionApplicableNoiseSampler> otherFunctions;
+    private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
     private final Map<String, FunctionTemplate> globalFunctions;
     @Value("variables")
     @Default
@@ -43,44 +41,19 @@ public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFuncti
     @Default
     private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
     
-    public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> otherFunctions, Map<String, FunctionTemplate> samplers) {
-        this.otherFunctions = otherFunctions;
-        this.globalFunctions = samplers;
+    public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
+        this.globalSamplers = globalSamplers;
+        this.globalFunctions = globalFunctions;
     }
     
     @Override
     public NoiseSampler get() {
+        var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
+        var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
         try {
-            Map<String, Function> noiseFunctionMap = generateFunctions();
-            return new ExpressionFunction(noiseFunctionMap, expression, vars);
+            return new ExpressionFunction(convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
         } catch(ParseException e) {
             throw new RuntimeException("Failed to parse expression.", e);
         }
     }
-    
-    private Map<String, Function> generateFunctions() throws ParseException {
-        Map<String, Function> noiseFunctionMap = new HashMap<>();
-        
-        for(Map.Entry<String, FunctionTemplate> entry : globalFunctions.entrySet()) {
-            noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
-        }
-        
-        for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
-            noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
-        }
-        
-        otherFunctions.forEach((id, function) -> {
-            if(function.getDimensions() == 2) {
-                noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
-            } else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
-        });
-        
-        samplers.forEach((id, function) -> {
-            if(function.getDimensions() == 2) {
-                noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
-            } else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
-        });
-        
-        return noiseFunctionMap;
-    }
 }

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/normalizer/CubicSplineNormalizerTemplate.java

@@ -0,0 +1,23 @@
+package com.dfsek.terra.addons.noise.config.templates.normalizer;
+
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.addons.noise.math.CubicSpline;
+import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
+import com.dfsek.terra.addons.noise.normalizer.CubicSplineNoiseSampler;
+import com.dfsek.terra.api.config.meta.Meta;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+import java.util.List;
+
+
+public class CubicSplineNormalizerTemplate extends NormalizerTemplate<CubicSplineNoiseSampler> {
+    
+    @Value("points")
+    private @Meta List<@Meta Point> points;
+    
+    @Override
+    public NoiseSampler get() {
+        return new CubicSplineNoiseSampler(function, new CubicSpline(points));
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/config/templates/normalizer/ExpressionNormalizerTemplate.java

@@ -0,0 +1,63 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.noise.config.templates.normalizer;
+
+import com.dfsek.paralithic.eval.tokenizer.ParseException;
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
+import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
+import com.dfsek.terra.addons.noise.normalizer.ExpressionNormalizer;
+import com.dfsek.terra.api.config.meta.Meta;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+import java.util.HashMap;
+import java.util.LinkedHashMap;
+import java.util.Map;
+
+import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
+
+
+@SuppressWarnings({ "unused", "FieldMayBeFinal" })
+public class ExpressionNormalizerTemplate extends NormalizerTemplate<ExpressionNormalizer> {
+    
+    private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
+    private final Map<String, FunctionTemplate> globalFunctions;
+    
+    @Value("expression")
+    private @Meta String expression;
+    
+    @Value("variables")
+    @Default
+    private @Meta Map<String, @Meta Double> vars = new HashMap<>();
+    
+    @Value("samplers")
+    @Default
+    private @Meta LinkedHashMap<String, @Meta DimensionApplicableNoiseSampler> samplers = new LinkedHashMap<>();
+    
+    @Value("functions")
+    @Default
+    private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
+    
+    public ExpressionNormalizerTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
+        this.globalSamplers = globalSamplers;
+        this.globalFunctions = globalFunctions;
+    }
+    
+    @Override
+    public NoiseSampler get() {
+        var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
+        var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
+        try {
+            return new ExpressionNormalizer(function, convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
+        } catch(ParseException e) {
+            throw new RuntimeException("Failed to parse expression.", e);
+        }
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/math/CubicSpline.java

@@ -0,0 +1,89 @@
+package com.dfsek.terra.addons.noise.math;
+
+import org.jetbrains.annotations.NotNull;
+
+import java.util.Collections;
+import java.util.List;
+
+
+public class CubicSpline {
+    
+    private final double[] fromValues;
+    private final double[] toValues;
+    private final double[] gradients;
+    
+    public CubicSpline(List<Point> points) {
+        Collections.sort(points);
+        
+        this.fromValues = new double[points.size()];
+        this.toValues = new double[points.size()];
+        this.gradients = new double[points.size()];
+        
+        for(int i = 0; i < points.size(); i++) {
+            fromValues[i] = points.get(i).from;
+            toValues[i] = points.get(i).to;
+            gradients[i] = points.get(i).gradient;
+        }
+    }
+    
+    public double apply(double in) {
+        return calculate(in, fromValues, toValues, gradients);
+    }
+    
+    public static double calculate(double in, double[] fromValues, double[] toValues, double[] gradients) {
+        int pointIdx = floorBinarySearch(in, fromValues) - 1;
+        
+        int pointIdxLast = fromValues.length - 1;
+        
+        if (pointIdx < 0) { // If to left of first point return linear function intersecting said point using point's gradient
+            return gradients[0] * (in - fromValues[0]) + toValues[0];
+        } else if (pointIdx == pointIdxLast) { // Do same if to right of last point
+            return gradients[pointIdxLast] * (in - fromValues[pointIdxLast]) + toValues[pointIdxLast];
+        } else {
+            double fromLeft = fromValues[pointIdx];
+            double fromRight = fromValues[pointIdx + 1];
+            
+            double toLeft = toValues[pointIdx];
+            double toRight = toValues[pointIdx + 1];
+            
+            double gradientLeft =  gradients[pointIdx];
+            double gradientRight = gradients[pointIdx + 1];
+            
+            double fromDelta = fromRight - fromLeft;
+            double toDelta = toRight - toLeft;
+            
+            double t = (in - fromLeft) / fromDelta;
+            
+            return lerp(t, toLeft, toRight) + t * (1.0F - t) * lerp(t, gradientLeft * fromDelta - toDelta, -gradientRight * fromDelta + toDelta);
+        }
+    }
+    
+    private static int floorBinarySearch(double targetValue, double[] values) {
+        int left = 0;
+        int right = values.length;
+        int idx = right - left;
+        while (idx > 0) {
+            int halfDelta = idx / 2;
+            int mid = left + halfDelta;
+            if (targetValue < values[mid]) {
+                idx = halfDelta;
+            } else {
+                left = mid + 1;
+                idx -= halfDelta + 1;
+            }
+        }
+        return left;
+    }
+    
+    private static double lerp(double t, double a, double b) {
+        return a + t * (b - a);
+    }
+    
+    public record Point(double from, double to, double gradient) implements Comparable<Point> {
+        
+        @Override
+        public int compareTo(@NotNull CubicSpline.Point o) {
+            return Double.compare(from, o.from);
+        }
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/normalizer/CubicSplineNoiseSampler.java

@@ -0,0 +1,20 @@
+package com.dfsek.terra.addons.noise.normalizer;
+
+import com.dfsek.terra.addons.noise.math.CubicSpline;
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class CubicSplineNoiseSampler extends Normalizer {
+    
+    private final CubicSpline spline;
+    
+    public CubicSplineNoiseSampler(NoiseSampler sampler, CubicSpline spline) {
+        super(sampler);
+        this.spline = spline;
+    }
+    
+    @Override
+    public double normalize(double in) {
+        return spline.apply(in);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/normalizer/ExpressionNormalizer.java

@@ -0,0 +1,33 @@
+package com.dfsek.terra.addons.noise.normalizer;
+
+import com.dfsek.paralithic.Expression;
+import com.dfsek.paralithic.eval.parser.Parser;
+import com.dfsek.paralithic.eval.parser.Scope;
+import com.dfsek.paralithic.eval.tokenizer.ParseException;
+import com.dfsek.paralithic.functions.Function;
+
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+import java.util.Map;
+
+
+public class ExpressionNormalizer extends Normalizer {
+    
+    private final Expression expression;
+    
+    public ExpressionNormalizer(NoiseSampler sampler, Map<String, Function> functions, String eq, Map<String, Double> vars)
+    throws ParseException {
+        super(sampler);
+        Parser p = new Parser();
+        Scope scope = new Scope();
+        scope.addInvocationVariable("in");
+        vars.forEach(scope::create);
+        functions.forEach(p::registerFunction);
+        expression = p.parse(eq, scope);
+    }
+    
+    @Override
+    public double normalize(double in) {
+        return expression.evaluate(in);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/paralithic/FunctionUtil.java

@@ -0,0 +1,31 @@
+package com.dfsek.terra.addons.noise.paralithic;
+
+import com.dfsek.paralithic.eval.tokenizer.ParseException;
+import com.dfsek.paralithic.functions.Function;
+
+import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
+import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
+import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
+import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
+import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
+
+import java.util.HashMap;
+import java.util.Map;
+
+
+public class FunctionUtil {
+    private FunctionUtil() {}
+    
+    public static Map<String, Function> convertFunctionsAndSamplers(Map<String, FunctionTemplate> functions,
+                                                                    Map<String, DimensionApplicableNoiseSampler> samplers) throws ParseException {
+        Map<String, Function> functionMap = new HashMap<>();
+        for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
+            functionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
+        }
+        samplers.forEach((id, sampler) -> functionMap.put(id,
+                                                          sampler.getDimensions() == 2 ?
+                                                          new NoiseFunction2(sampler.getSampler()) :
+                                                          new NoiseFunction3(sampler.getSampler())));
+        return functionMap;
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/TranslateSampler.java

@@ -0,0 +1,27 @@
+package com.dfsek.terra.addons.noise.samplers;
+
+import com.dfsek.terra.api.noise.NoiseSampler;
+
+
+public class TranslateSampler implements NoiseSampler {
+    
+    private final NoiseSampler sampler;
+    private final double dx, dy, dz;
+    
+    public TranslateSampler(NoiseSampler sampler, double dx, double dy, double dz) {
+        this.sampler = sampler;
+        this.dx = dx;
+        this.dy = dy;
+        this.dz = dz;
+    }
+    
+    @Override
+    public double noise(long seed, double x, double y) {
+        return sampler.noise(seed, x - dx, y - dz);
+    }
+    
+    @Override
+    public double noise(long seed, double x, double y, double z) {
+        return sampler.noise(seed, x - dx, y - dy, z - dz);
+    }
+}

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/CellularSampler.java

@@ -240,99 +240,37 @@ public class CellularSampler extends NoiseFunction {
         double centerX = x;
         double centerY = y;
         
-        switch(distanceFunction) {
-            default:
-            case Euclidean:
-            case EuclideanSq:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = vecX * vecX + vecY * vecY;
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
+        for(int xi = xr - 1; xi <= xr + 1; xi++) {
+            int yPrimed = yPrimedBase;
+            
+            for(int yi = yr - 1; yi <= yr + 1; yi++) {
+                int hash = hash(seed, xPrimed, yPrimed);
+                int idx = hash & (255 << 1);
+                
+                double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
+                double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
+                
+                double newDistance = switch(distanceFunction) {
+                    case Manhattan -> fastAbs(vecX) + fastAbs(vecY);
+                    case Hybrid -> (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
+                    default -> vecX * vecX + vecY * vecY;
+                };
+                
+                distance1 = fastMax(fastMin(distance1, newDistance), distance0);
+                if(newDistance < distance0) {
+                    distance0 = newDistance;
+                    closestHash = hash;
+                    centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
+                    centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
+                } else if(newDistance < distance1) {
+                    distance2 = distance1;
+                    distance1 = newDistance;
+                } else if(newDistance < distance2) {
+                    distance2 = newDistance;
                 }
-                break;
-            case Manhattan:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = fastAbs(vecX) + fastAbs(vecY);
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
-            case Hybrid:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
-                    
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int hash = hash(seed, xPrimed, yPrimed);
-                        int idx = hash & (255 << 1);
-                        
-                        double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
-                        double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
-                        
-                        double newDistance = (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
-                        
-                        distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                        if(newDistance < distance0) {
-                            distance0 = newDistance;
-                            closestHash = hash;
-                            centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
-                            centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
-                        } else if(newDistance < distance1) {
-                            distance2 = distance1;
-                            distance1 = newDistance;
-                        } else if(newDistance < distance2) {
-                            distance2 = newDistance;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
+                yPrimed += PRIME_Y;
+            }
+            xPrimed += PRIME_X;
         }
         
         if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
@@ -351,6 +289,7 @@ public class CellularSampler extends NoiseFunction {
             case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
             case Distance2Div -> distance0 / distance1 - 1;
             case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY);
+            case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY);
             case Distance3 -> distance2 - 1;
             case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
             case Distance3Sub -> distance2 - distance0 - 1;
@@ -382,120 +321,47 @@ public class CellularSampler extends NoiseFunction {
         double centerY = y;
         double centerZ = z;
         
-        switch(distanceFunction) {
-            case Euclidean:
-            case EuclideanSq:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
+        for(int xi = xr - 1; xi <= xr + 1; xi++) {
+            int yPrimed = yPrimedBase;
+            
+            for(int yi = yr - 1; yi <= yr + 1; yi++) {
+                int zPrimed = zPrimedBase;
+                
+                for(int zi = zr - 1; zi <= zr + 1; zi++) {
+                    int hash = hash(seed, xPrimed, yPrimed, zPrimed);
+                    int idx = hash & (255 << 2);
                     
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int zPrimed = zPrimedBase;
-                        
-                        for(int zi = zr - 1; zi <= zr + 1; zi++) {
-                            int hash = hash(seed, xPrimed, yPrimed, zPrimed);
-                            int idx = hash & (255 << 2);
-                            
-                            double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
-                            double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
-                            double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
-                            
-                            double newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
-                            
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
-                        }
-                        yPrimed += PRIME_Y;
-                    }
-                    xPrimed += PRIME_X;
-                }
-                break;
-            case Manhattan:
-                for(int xi = xr - 1; xi <= xr + 1; xi++) {
-                    int yPrimed = yPrimedBase;
+                    double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
+                    double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
+                    double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
                     
-                    for(int yi = yr - 1; yi <= yr + 1; yi++) {
-                        int zPrimed = zPrimedBase;
-                        
-                        for(int zi = zr - 1; zi <= zr + 1; zi++) {
-                            int hash = hash(seed, xPrimed, yPrimed, zPrimed);
-                            int idx = hash & (255 << 2);
-                            
-                            double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
-                            double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
-                            double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
-                            
-                            double newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
-                            
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
-                        }
-                        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);
-                            
+                    double newDistance = 0;
+                    switch(distanceFunction) {
+                        case Euclidean, EuclideanSq -> newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
+                        case Manhattan -> newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
+                        case Hybrid -> {
+                            newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
                             distance1 = fastMax(fastMin(distance1, newDistance), distance0);
-                            if(newDistance < distance0) {
-                                distance0 = newDistance;
-                                closestHash = hash;
-                                centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
-                                centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
-                                centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
-                            } else if(newDistance < distance1) {
-                                distance2 = distance1;
-                                distance1 = newDistance;
-                            } else if(newDistance < distance2) {
-                                distance2 = newDistance;
-                            }
-                            zPrimed += PRIME_Z;
                         }
-                        yPrimed += PRIME_Y;
                     }
-                    xPrimed += PRIME_X;
+                    
+                    if(newDistance < distance0) {
+                        distance0 = newDistance;
+                        closestHash = hash;
+                        centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
+                        centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
+                        centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
+                    } else if(newDistance < distance1) {
+                        distance2 = distance1;
+                        distance1 = newDistance;
+                    } else if(newDistance < distance2) {
+                        distance2 = newDistance;
+                    }
+                    zPrimed += PRIME_Z;
                 }
-                break;
-            default:
-                break;
+                yPrimed += PRIME_Y;
+            }
+            xPrimed += PRIME_X;
         }
         
         if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
@@ -514,6 +380,7 @@ public class CellularSampler extends NoiseFunction {
             case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
             case Distance2Div -> distance0 / distance1 - 1;
             case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY, centerZ);
+            case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY, z / frequency - centerZ);
             case Distance3 -> distance2 - 1;
             case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
             case Distance3Sub -> distance2 - distance0 - 1;
@@ -540,6 +407,7 @@ public class CellularSampler extends NoiseFunction {
         Distance2Mul,
         Distance2Div,
         NoiseLookup,
+        LocalNoiseLookup,
         Distance3,
         Distance3Add,
         Distance3Sub,

common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/samplers/noise/DistanceSampler.java

@@ -0,0 +1,66 @@
+package com.dfsek.terra.addons.noise.samplers.noise;
+
+
+public class DistanceSampler extends NoiseFunction {
+    
+    private final DistanceFunction distanceFunction;
+    private final double ox, oy, oz;
+    private final boolean normalize;
+    private final double radius;
+    
+    private final double distanceAtRadius;
+    
+    public DistanceSampler(DistanceFunction distanceFunction, double ox, double oy, double oz, boolean normalize, double radius) {
+        frequency = 1;
+        this.distanceFunction = distanceFunction;
+        this.ox = ox;
+        this.oy = oy;
+        this.oz = oz;
+        this.normalize = normalize;
+        this.radius = radius;
+        this.distanceAtRadius = distance2d(distanceFunction, radius, 0); // distance2d and distance3d should return the same value
+    }
+   
+    @Override
+    public double getNoiseRaw(long seed, double x, double y) {
+        double dx = x - ox;
+        double dy = y - oz;
+        if (normalize && (fastAbs(dx) > radius || fastAbs(dy) > radius)) return 1;
+        double dist = distance2d(distanceFunction, dx, dy);
+        if (normalize) return fastMin(((2*dist)/distanceAtRadius)-1, 1);
+        return dist;
+    }
+    
+    @Override
+    public double getNoiseRaw(long seed, double x, double y, double z) {
+        double dx = x - ox;
+        double dy = y - oy;
+        double dz = z - oz;
+        if(normalize && (fastAbs(dx) > radius || fastAbs(dy) > radius || fastAbs(dz) > radius)) return 1;
+        double dist = distance3d(distanceFunction, dx, dy, dz);
+        if (normalize) return fastMin(((2*dist)/distanceAtRadius)-1, 1);
+        return dist;
+    }
+    
+    private static double distance2d(DistanceFunction distanceFunction, double x, double z) {
+        return switch(distanceFunction) {
+            case Euclidean -> fastSqrt(x*x + z*z);
+            case EuclideanSq -> x*x + z*z;
+            case Manhattan -> fastAbs(x) + fastAbs(z);
+        };
+    }
+    
+    private static double distance3d(DistanceFunction distanceFunction, double x, double y, double z) {
+        return switch(distanceFunction) {
+            case Euclidean -> fastSqrt(x*x + y*y + z*z);
+            case EuclideanSq -> x*x + y*y + z*z;
+            case Manhattan -> fastAbs(x) + fastAbs(y) + fastAbs(z);
+        };
+    }
+    
+    public enum DistanceFunction {
+        Euclidean,
+        EuclideanSq,
+        Manhattan
+    }
+}

common/addons/config-ore-v2/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020-2021 Polyhedral Development
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

common/addons/config-ore-v2/README.md

@@ -0,0 +1,3 @@
+# config-ore-v2
+
+Registers the default configuration for Terra Ores, `ORE`.

common/addons/config-ore-v2/build.gradle.kts

@@ -0,0 +1,11 @@
+version = version("1.0.0")
+
+dependencies {
+    compileOnlyApi(project(":common:addons:manifest-addon-loader"))
+    implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
+    testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
+}
+
+tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
+    relocate("net.jafama", "com.dfsek.terra.addons.ore.lib.jafama")
+}

common/addons/config-ore-v2/src/main/java/com/dfsek/terra/addons/ore/v2/OreAddon.java

@@ -0,0 +1,33 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.ore.v2;
+
+import com.dfsek.terra.addons.manifest.api.AddonInitializer;
+import com.dfsek.terra.api.Platform;
+import com.dfsek.terra.api.addon.BaseAddon;
+import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
+import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
+import com.dfsek.terra.api.inject.annotations.Inject;
+
+
+public class OreAddon implements AddonInitializer {
+    @Inject
+    private Platform platform;
+    
+    @Inject
+    private BaseAddon addon;
+    
+    @Override
+    public void initialize() {
+        platform.getEventManager()
+                .getHandler(FunctionalEventHandler.class)
+                .register(addon, ConfigPackPreLoadEvent.class)
+                .then(event -> event.getPack().registerConfigType(new OreConfigType(), addon.key("ORE"), 1))
+                .failThrough();
+    }
+}

common/addons/config-ore-v2/src/main/java/com/dfsek/terra/addons/ore/v2/OreConfigType.java

@@ -0,0 +1,37 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.ore.v2;
+
+import com.dfsek.terra.api.Platform;
+import com.dfsek.terra.api.config.ConfigFactory;
+import com.dfsek.terra.api.config.ConfigPack;
+import com.dfsek.terra.api.config.ConfigType;
+import com.dfsek.terra.api.structure.Structure;
+import com.dfsek.terra.api.util.reflection.TypeKey;
+
+
+public class OreConfigType implements ConfigType<OreTemplate, Structure> {
+    public static final TypeKey<Structure> ORE_TYPE_TOKEN = new TypeKey<>() {
+    };
+    private final OreFactory factory = new OreFactory();
+    
+    @Override
+    public OreTemplate getTemplate(ConfigPack pack, Platform platform) {
+        return new OreTemplate();
+    }
+    
+    @Override
+    public ConfigFactory<OreTemplate, Structure> getFactory() {
+        return factory;
+    }
+    
+    @Override
+    public TypeKey<Structure> getTypeKey() {
+        return ORE_TYPE_TOKEN;
+    }
+}

common/addons/config-ore-v2/src/main/java/com/dfsek/terra/addons/ore/v2/OreFactory.java

@@ -0,0 +1,24 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.ore.v2;
+
+import com.dfsek.terra.addons.ore.v2.ores.VanillaOre;
+import com.dfsek.terra.api.Platform;
+import com.dfsek.terra.api.block.state.BlockState;
+import com.dfsek.terra.api.config.ConfigFactory;
+import com.dfsek.terra.api.structure.Structure;
+
+
+public class OreFactory implements ConfigFactory<OreTemplate, Structure> {
+    @Override
+    public VanillaOre build(OreTemplate config, Platform platform) {
+        BlockState m = config.getMaterial();
+        return new VanillaOre(m, config.getSize(), config.getReplaceable(), config.doPhysics(), config.isExposed(),
+                              config.getMaterialOverrides());
+    }
+}

common/addons/config-ore-v2/src/main/java/com/dfsek/terra/addons/ore/v2/OreTemplate.java

@@ -0,0 +1,80 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.ore.v2;
+
+import com.dfsek.tectonic.api.config.template.annotations.Default;
+import com.dfsek.tectonic.api.config.template.annotations.Description;
+import com.dfsek.tectonic.api.config.template.annotations.Final;
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+
+import java.util.HashMap;
+import java.util.Map;
+
+import com.dfsek.terra.api.block.BlockType;
+import com.dfsek.terra.api.block.state.BlockState;
+import com.dfsek.terra.api.config.AbstractableTemplate;
+import com.dfsek.terra.api.config.meta.Meta;
+import com.dfsek.terra.api.util.collection.MaterialSet;
+
+
+@SuppressWarnings({ "unused", "FieldMayBeFinal" })
+public class OreTemplate implements AbstractableTemplate {
+    @Value("id")
+    @Final
+    private String id;
+    
+    @Value("material")
+    private @Meta BlockState material;
+    
+    @Value("material-overrides")
+    @Default
+    private @Meta Map<@Meta BlockType, @Meta BlockState> materials = new HashMap<>();
+    
+    @Value("replace")
+    private @Meta MaterialSet replaceable;
+    
+    @Value("physics")
+    @Default
+    private @Meta boolean physics = false;
+    
+    @Value("size")
+    private @Meta double size;
+    
+    @Value("exposed")
+    @Default
+    @Description("The chance that ore blocks bordering air will be discarded as candidates for ore. 0 = 0%, 1 = 100%")
+    private @Meta double exposed = 0.0f;
+    
+    public boolean doPhysics() {
+        return physics;
+    }
+    
+    public double getSize() {
+        return size;
+    }
+    
+    public BlockState getMaterial() {
+        return material;
+    }
+    
+    public MaterialSet getReplaceable() {
+        return replaceable;
+    }
+    
+    public String getID() {
+        return id;
+    }
+    
+    public Map<BlockType, BlockState> getMaterialOverrides() {
+        return materials;
+    }
+    
+    public double isExposed() {
+        return exposed;
+    }
+}

common/addons/config-ore-v2/src/main/java/com/dfsek/terra/addons/ore/v2/ores/VanillaOre.java

@@ -0,0 +1,188 @@
+/*
+ * Copyright (c) 2020-2021 Polyhedral Development
+ *
+ * The Terra Core Addons are licensed under the terms of the MIT License. For more details,
+ * reference the LICENSE file in this module's root directory.
+ */
+
+package com.dfsek.terra.addons.ore.v2.ores;
+
+import net.jafama.FastMath;
+
+import java.util.BitSet;
+import java.util.Map;
+import java.util.Random;
+
+import com.dfsek.terra.api.block.BlockType;
+import com.dfsek.terra.api.block.state.BlockState;
+import com.dfsek.terra.api.structure.Structure;
+import com.dfsek.terra.api.util.Rotation;
+import com.dfsek.terra.api.util.collection.MaterialSet;
+import com.dfsek.terra.api.util.vector.Vector3Int;
+import com.dfsek.terra.api.world.WritableWorld;
+
+
+public class VanillaOre implements Structure {
+    
+    private final BlockState material;
+    
+    private final double size;
+    private final MaterialSet replaceable;
+    private final boolean applyGravity;
+    private final double exposed;
+    private final Map<BlockType, BlockState> materials;
+    
+    public VanillaOre(BlockState material, double size, MaterialSet replaceable, boolean applyGravity,
+                      double exposed, Map<BlockType, BlockState> materials) {
+        this.material = material;
+        this.size = size;
+        this.replaceable = replaceable;
+        this.applyGravity = applyGravity;
+        this.exposed = exposed;
+        this.materials = materials;
+    }
+    
+    protected static boolean shouldNotDiscard(Random random, double chance) {
+        if(chance <= 0.0F) {
+            return true;
+        } else if(chance >= 1.0F) {
+            return false;
+        } else {
+            return random.nextFloat() >= chance;
+        }
+    }
+    
+    public static double lerp(double t, double v0, double v1) {
+        return v0 + t * (v1 - v0);
+    }
+    
+    @Override
+    public boolean generate(Vector3Int location, WritableWorld world, Random random, Rotation rotation) {
+        float f = random.nextFloat() * (float) Math.PI;
+        double g = size / 8.0F;
+        int i = (int) FastMath.ceil((size / 16.0F * 2.0F + 1.0F) / 2.0F);
+        double startX = (double) location.getX() + FastMath.sin(f) * g;
+        double endX = (double) location.getX() - FastMath.sin(f) * g;
+        double startZ = (double) location.getZ() + FastMath.cos(f) * g;
+        double endZ = (double) location.getZ() - FastMath.cos(f) * g;
+        double startY = location.getY() + random.nextInt(3) - 2;
+        double endY = location.getY() + random.nextInt(3) - 2;
+        int x = (int) (location.getX() - FastMath.ceil(g) - i);
+        int y = location.getY() - 2 - i;
+        int z = (int) (location.getZ() - FastMath.ceil(g) - i);
+        int horizontalSize = (int) (2 * (FastMath.ceil(g) + i));
+        int verticalSize = 2 * (2 + i);
+        
+        int i1 = 0;
+        BitSet bitSet = new BitSet(horizontalSize * verticalSize * horizontalSize);
+        
+        int j1 = (int) size;
+        double[] ds = new double[j1 * 4];
+        
+        for(int k1 = 0; k1 < j1; ++k1) {
+            float f1 = (float) k1 / (float) j1;
+            double d1 = lerp(f1, startX, endX);
+            double e1 = lerp(f1, startY, endY);
+            double g1 = lerp(f1, startZ, endZ);
+            double h1 = random.nextDouble() * (double) j1 / 16.0;
+            double l1 = ((FastMath.sin((float) Math.PI * f1) + 1.0F) * h1 + 1.0) / 2.0;
+            ds[k1 * 4] = d1;
+            ds[k1 * 4 + 1] = e1;
+            ds[k1 * 4 + 2] = g1;
+            ds[k1 * 4 + 3] = l1;
+        }
+        
+        for(int k1 = 0; k1 < j1 - 1; ++k1) {
+            if(!(ds[k1 * 4 + 3] <= 0.0)) {
+                for(int m1 = k1 + 1; m1 < j1; ++m1) {
+                    if(!(ds[m1 * 4 + 3] <= 0.0)) {
+                        double d1 = ds[k1 * 4] - ds[m1 * 4];
+                        double e1 = ds[k1 * 4 + 1] - ds[m1 * 4 + 1];
+                        double g1 = ds[k1 * 4 + 2] - ds[m1 * 4 + 2];
+                        double h1 = ds[k1 * 4 + 3] - ds[m1 * 4 + 3];
+                        if(h1 * h1 > d1 * d1 + e1 * e1 + g1 * g1) {
+                            if(h1 > 0.0) {
+                                ds[m1 * 4 + 3] = -1.0;
+                            } else {
+                                ds[k1 * 4 + 3] = -1.0;
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        
+        for(int m1 = 0; m1 < j1; ++m1) {
+            double d1 = ds[m1 * 4 + 3];
+            if(!(d1 < 0.0)) {
+                double e1 = ds[m1 * 4];
+                double g1 = ds[m1 * 4 + 1];
+                double h1 = ds[m1 * 4 + 2];
+                int n1 = (int) FastMath.max(FastMath.floor(e1 - d1), x);
+                int o1 = (int) FastMath.max(FastMath.floor(g1 - d1), y);
+                int p1 = (int) FastMath.max(FastMath.floor(h1 - d1), z);
+                int q1 = (int) FastMath.max(FastMath.floor(e1 + d1), n1);
+                int r1 = (int) FastMath.max(FastMath.floor(g1 + d1), o1);
+                int s1 = (int) FastMath.max(FastMath.floor(h1 + d1), p1);
+                
+                for(int t1 = n1; t1 <= q1; ++t1) {
+                    double u1 = ((double) t1 + 0.5 - e1) / d1;
+                    if(u1 * u1 < 1.0) {
+                        for(int v1 = o1; v1 <= r1; ++v1) {
+                            double w1 = ((double) v1 + 0.5 - g1) / d1;
+                            if(u1 * u1 + w1 * w1 < 1.0) {
+                                for(int aa = p1; aa <= s1; ++aa) {
+                                    double ab = ((double) aa + 0.5 - h1) / d1;
+                                    if(u1 * u1 + w1 * w1 + ab * ab < 1.0 && !(v1 < world.getMinHeight() || v1 >= world.getMaxHeight())) {
+                                        int ac = t1 - x + (v1 - y) * horizontalSize + (aa - z) * horizontalSize * verticalSize;
+                                        if(!bitSet.get(ac)) {
+                                            bitSet.set(ac);
+                                            
+                                            BlockType block = world.getBlockState(x, y, z).getBlockType();
+                                            
+                                            if(shouldPlace(block, random, world, t1, v1, aa)) {
+                                                world.setBlockState(t1, v1, aa, getMaterial(block), isApplyGravity());
+                                                ++i1;
+                                                break;
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        
+        
+        return i1 > 0;
+    }
+    
+    public boolean shouldPlace(BlockType type, Random random, WritableWorld world, int x, int y, int z) {
+        if(!getReplaceable().contains(type)) {
+            return false;
+        } else if(shouldNotDiscard(random, exposed)) {
+            return true;
+        } else {
+            return !(world.getBlockState(x, y, z - 1).isAir() ||
+                     world.getBlockState(x, y, z + 1).isAir() ||
+                     world.getBlockState(x, y - 1, z).isAir() ||
+                     world.getBlockState(x, y + 1, z).isAir() ||
+                     world.getBlockState(x - 1, y, z).isAir() ||
+                     world.getBlockState(x + 1, y, z).isAir());
+        }
+    }
+    
+    public BlockState getMaterial(BlockType replace) {
+        return materials.getOrDefault(replace, material);
+    }
+    
+    public MaterialSet getReplaceable() {
+        return replaceable;
+    }
+    
+    public boolean isApplyGravity() {
+        return applyGravity;
+    }
+}

common/addons/config-ore-v2/src/main/resources/terra.addon.yml

@@ -0,0 +1,12 @@
+schema-version: 1
+contributors:
+  - Terra contributors
+id: config-ore-v2
+version: @VERSION@
+entrypoints:
+  - "com.dfsek.terra.addons.ore.v2.OreAddon"
+website:
+  issues: https://github.com/PolyhedralDev/Terra/issues
+  source: https://github.com/PolyhedralDev/Terra
+  docs: https://terra.polydev.org
+license: MIT License

common/addons/config-ore/src/main/java/com/dfsek/terra/addons/ore/OreAddon.java

@@ -14,8 +14,13 @@ import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
 import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
 import com.dfsek.terra.api.inject.annotations.Inject;
 
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
 
 public class OreAddon implements AddonInitializer {
+    private static final Logger logger = LoggerFactory.getLogger(OreAddon.class);
+    
     @Inject
     private Platform platform;
     
@@ -29,5 +34,7 @@ public class OreAddon implements AddonInitializer {
                 .register(addon, ConfigPackPreLoadEvent.class)
                 .then(event -> event.getPack().registerConfigType(new OreConfigType(), addon.key("ORE"), 1))
                 .failThrough();
+        
+        logger.warn("The ore-config addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the ore-config-v2 addon for future pack development instead.");
     }
 }

common/addons/structure-terrascript-loader/src/main/java/com/dfsek/terra/addons/terrascript/script/builders/BlockFunctionBuilder.java

@@ -30,15 +30,17 @@ public class BlockFunctionBuilder implements FunctionBuilder<BlockFunction> {
     @Override
     public BlockFunction build(List<Returnable<?>> argumentList, Position position) {
         if(argumentList.size() < 4) throw new ParseException("Expected data", position);
-        Returnable<Boolean> booleanReturnable = new BooleanConstant(true, position);
-        if(argumentList.size() == 5) booleanReturnable = (Returnable<Boolean>) argumentList.get(4);
+        Returnable<Boolean> overwrite = new BooleanConstant(true, position);
+        if(argumentList.size() >= 5) overwrite = (Returnable<Boolean>) argumentList.get(4);
+        Returnable<Boolean> physics = new BooleanConstant(false, position);
+        if(argumentList.size() == 6) physics = (Returnable<Boolean>) argumentList.get(5);
         if(argumentList.get(3) instanceof StringConstant) {
             return new BlockFunction.Constant((Returnable<Number>) argumentList.get(0), (Returnable<Number>) argumentList.get(1),
                                               (Returnable<Number>) argumentList.get(2), (StringConstant) argumentList.get(3),
-                                              booleanReturnable, platform, position);
+                                              overwrite, physics, platform, position);
         }
         return new BlockFunction((Returnable<Number>) argumentList.get(0), (Returnable<Number>) argumentList.get(1),
-                                 (Returnable<Number>) argumentList.get(2), (Returnable<String>) argumentList.get(3), booleanReturnable,
+                                 (Returnable<Number>) argumentList.get(2), (Returnable<String>) argumentList.get(3), overwrite, physics,
                                  platform, position);
     }
     
@@ -52,7 +54,7 @@ public class BlockFunctionBuilder implements FunctionBuilder<BlockFunction> {
         return switch(position) {
             case 0, 1, 2 -> Returnable.ReturnType.NUMBER;
             case 3 -> Returnable.ReturnType.STRING;
-            case 4 -> Returnable.ReturnType.BOOLEAN;
+            case 4, 5 -> Returnable.ReturnType.BOOLEAN;
             default -> null;
         };
     }

common/addons/structure-terrascript-loader/src/main/java/com/dfsek/terra/addons/terrascript/script/functions/BlockFunction.java

@@ -35,10 +35,11 @@ public class BlockFunction implements Function<Void> {
     protected final Platform platform;
     private final Map<String, BlockState> data = new HashMap<>();
     private final Returnable<Boolean> overwrite;
+    private final Returnable<Boolean> physics;
     private final Position position;
     
     public BlockFunction(Returnable<Number> x, Returnable<Number> y, Returnable<Number> z, Returnable<String> blockData,
-                         Returnable<Boolean> overwrite, Platform platform, Position position) {
+                         Returnable<Boolean> overwrite, Returnable<Boolean> physics, Platform platform, Position position) {
         this.x = x;
         this.y = y;
         this.z = z;
@@ -46,6 +47,7 @@ public class BlockFunction implements Function<Void> {
         this.overwrite = overwrite;
         this.platform = platform;
         this.position = position;
+        this.physics = physics;
     }
     
     @Override
@@ -76,7 +78,7 @@ public class BlockFunction implements Function<Void> {
                                              FastMath.roundToInt(xz.getZ())).mutable().add(arguments.getOrigin());
             BlockState current = arguments.getWorld().getBlockState(set);
             if(overwrite.apply(implementationArguments, scope) || current.isAir()) {
-                arguments.getWorld().setBlockState(set, rot);
+                arguments.getWorld().setBlockState(set, rot, physics.apply(implementationArguments, scope));
             }
         } catch(RuntimeException e) {
             logger.error("Failed to place block at location {}", arguments.getOrigin(), e);
@@ -92,8 +94,8 @@ public class BlockFunction implements Function<Void> {
         private final BlockState state;
         
         public Constant(Returnable<Number> x, Returnable<Number> y, Returnable<Number> z, StringConstant blockData,
-                        Returnable<Boolean> overwrite, Platform platform, Position position) {
-            super(x, y, z, blockData, overwrite, platform, position);
+                        Returnable<Boolean> overwrite, Returnable<Boolean> physics, Platform platform, Position position) {
+            super(x, y, z, blockData, overwrite, physics, platform, position);
             this.state = platform.getWorldHandle().createBlockState(blockData.getConstant());
         }
         

common/implementation/base/src/main/java/com/dfsek/terra/config/loaders/RangeLoader.java

@@ -17,10 +17,17 @@
 
 package com.dfsek.terra.config.loaders;
 
+import com.dfsek.tectonic.api.config.template.annotations.Value;
+import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
 import com.dfsek.tectonic.api.depth.DepthTracker;
 import com.dfsek.tectonic.api.exception.LoadException;
 import com.dfsek.tectonic.api.loader.ConfigLoader;
 import com.dfsek.tectonic.api.loader.type.TypeLoader;
+
+import com.dfsek.tectonic.impl.MapConfiguration;
+
+import com.dfsek.terra.api.config.meta.Meta;
+
 import org.jetbrains.annotations.NotNull;
 
 import java.lang.reflect.AnnotatedType;
@@ -36,11 +43,26 @@ public class RangeLoader implements TypeLoader<Range> {
     public Range load(@NotNull AnnotatedType type, @NotNull Object o, @NotNull ConfigLoader configLoader, DepthTracker depthTracker)
     throws LoadException {
         if(o instanceof Map) {
-            Map<String, Integer> map = (Map<String, Integer>) o;
-            return new ConstantRange(map.get("min"), map.get("max"));
+            return configLoader.load(new RangeMapTemplate(), new MapConfiguration((Map<String, Object>) o), depthTracker).get();
         } else {
             int h = configLoader.loadType(Integer.class, o, depthTracker);
             return new ConstantRange(h, h + 1);
         }
     }
+    
+    /*
+     * Template needed so keys can be meta annotated, otherwise the loader could just grab keys directly from the object
+     */
+    public static class RangeMapTemplate implements ObjectTemplate<Range> {
+        @Value("min")
+        private @Meta int min;
+        
+        @Value("max")
+        private @Meta int max;
+        
+        @Override
+        public Range get() {
+            return new ConstantRange(min, max);
+        }
+    }
 }

common/implementation/base/src/main/java/com/dfsek/terra/config/preprocessor/MetaListLikePreprocessor.java

@@ -68,7 +68,7 @@ public class MetaListLikePreprocessor extends MetaPreprocessor<Meta> {
                         
                         if(!(metaValue instanceof List)) {
                             throw new LoadException(
-                                    "MetaList/Set injection candidate must be list, is type " + metaValue.getClass().getCanonicalName(),
+                                    "Meta list / set injection (via <<) must point to a list. '" + meta + "' points to type " + metaValue.getClass().getCanonicalName(),
                                     depthTracker);
                         }
                         

gradle.properties

@@ -8,5 +8,4 @@ terra.license=MIT
 # Gradle options
 org.gradle.jvmargs=-Xmx4096M -XX:MaxMetaspaceSize=512m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8 -XX:+UseParallelGC
 org.gradle.warning.mode=all
-#org.gradle.parallel=true
 

gradle/wrapper/gradle-wrapper.properties

@@ -3,5 +3,4 @@ distributionPath=wrapper/dists
 distributionUrl=https\://services.gradle.org/distributions/gradle-7.4-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
-org.gradle.jvmargs=-Xmx4096m
-fabric.loom.multiProjectOptimisation=true
+org.gradle.jvmargs=-Xmx4096m

platforms/bukkit/common/src/main/java/com/dfsek/terra/bukkit/util/BukkitUtils.java

@@ -0,0 +1,12 @@
+package com.dfsek.terra.bukkit.util;
+
+import org.bukkit.Material;
+import org.bukkit.block.data.BlockData;
+
+
+public class BukkitUtils {
+    public static boolean isLiquid(BlockData blockState) {
+        Material material = blockState.getMaterial();
+        return material == Material.WATER || material == Material.LAVA;
+    }
+}

platforms/bukkit/common/src/main/java/com/dfsek/terra/bukkit/world/BukkitProtoWorld.java

@@ -1,6 +1,9 @@
 package com.dfsek.terra.bukkit.world;
 
+import com.dfsek.terra.bukkit.util.BukkitUtils;
+
 import org.bukkit.Location;
+import org.bukkit.block.data.BlockData;
 import org.bukkit.generator.LimitedRegion;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -47,9 +50,14 @@ public class BukkitProtoWorld implements ProtoWorld {
     @Override
     public void setBlockState(int x, int y, int z, BlockState data, boolean physics) {
         access(x, y, z, () -> {
-            delegate.setBlockData(x, y, z, BukkitAdapter.adapt(data));
+            BlockData bukkitData = BukkitAdapter.adapt(data);
+            delegate.setBlockData(x, y, z, bukkitData);
             if(physics) {
-                delegate.scheduleBlockUpdate(x, y, z);
+                if (BukkitUtils.isLiquid(bukkitData)) {
+                    delegate.scheduleFluidUpdate(x, y, z);
+                } else {
+                    delegate.scheduleBlockUpdate(x, y, z);
+                }
             }
         });
     }

platforms/fabric/build.gradle.kts

@@ -50,10 +50,10 @@ loom {
     
     launches {
         named("client") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
         }
         named("server") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
         }
     }
 }

platforms/fabric/src/main/java/com/dfsek/terra/fabric/FabricEntryPoint.java

@@ -17,35 +17,16 @@
 
 package com.dfsek.terra.fabric;
 
-import cloud.commandframework.execution.CommandExecutionCoordinator;
-import cloud.commandframework.fabric.FabricServerCommandManager;
 import net.fabricmc.api.ModInitializer;
-import net.minecraft.server.command.ServerCommandSource;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 
-import com.dfsek.terra.api.command.CommandSender;
-import com.dfsek.terra.api.event.events.platform.CommandRegistrationEvent;
+import com.dfsek.terra.lifecycle.LifecycleEntryPoint;
 
 
-public class FabricEntryPoint implements ModInitializer {
-    private static final Logger logger = LoggerFactory.getLogger(FabricEntryPoint.class);
-    
+public class FabricEntryPoint extends LifecycleEntryPoint implements ModInitializer {
     private static final FabricPlatform TERRA_PLUGIN = new FabricPlatform();
     
     @Override
     public void onInitialize() {
-        logger.info("Initializing Terra Fabric mod...");
-        
-        FabricServerCommandManager<CommandSender> manager = new FabricServerCommandManager<>(
-                CommandExecutionCoordinator.simpleCoordinator(),
-                serverCommandSource -> (CommandSender) serverCommandSource,
-                commandSender -> (ServerCommandSource) commandSender
-        );
-        
-        
-        manager.brigadierManager().setNativeNumberSuggestions(false);
-        
-        TERRA_PLUGIN.getEventManager().callEvent(new CommandRegistrationEvent(manager));
+        initialize("Fabric", TERRA_PLUGIN);
     }
 }

platforms/fabric/src/main/java/com/dfsek/terra/fabric/FabricPlatform.java

@@ -17,43 +17,24 @@
 
 package com.dfsek.terra.fabric;
 
-import ca.solostudios.strata.Versions;
-import ca.solostudios.strata.parser.tokenizer.ParseException;
-import ca.solostudios.strata.version.Version;
 import net.fabricmc.loader.api.FabricLoader;
 import org.jetbrains.annotations.NotNull;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 
 import java.io.File;
 import java.util.Collection;
 import java.util.stream.Collectors;
-import java.util.stream.Stream;
 
-import com.dfsek.terra.addon.EphemeralAddon;
 import com.dfsek.terra.api.addon.BaseAddon;
 import com.dfsek.terra.lifecycle.LifecyclePlatform;
 
 
 public class FabricPlatform extends LifecyclePlatform {
-    private static final Logger LOGGER = LoggerFactory.getLogger(FabricPlatform.class);
     
     @Override
     protected Collection<BaseAddon> getPlatformMods() {
-        return FabricLoader.getInstance().getAllMods().stream().flatMap(mod -> {
-            String id = mod.getMetadata().getId();
-            if(id.equals("terra") || id.equals("minecraft") || id.equals("java")) return Stream.empty();
-            try {
-                Version version = Versions.parseVersion(mod.getMetadata().getVersion().getFriendlyString());
-                return Stream.<BaseAddon>of(new EphemeralAddon(version, "fabric:" + id));
-            } catch(ParseException e) {
-                LOGGER.warn(
-                        "Mod {}, version {} does not follow semantic versioning specification, Terra addons will be unable to depend on " +
-                        "it.",
-                        id, mod.getMetadata().getVersion().getFriendlyString());
-            }
-            return Stream.empty();
-        }).collect(Collectors.toList());
+        return FabricLoader.getInstance().getAllMods().stream().flatMap(
+                mod -> parseModData(mod.getMetadata().getId(), mod.getMetadata().getVersion().getFriendlyString())).collect(
+                Collectors.toList());
     }
     
     @Override

platforms/forge/build.gradle.kts

@@ -39,11 +39,11 @@ loom {
     
     launches {
         named("client") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
             property("mixin.env.disableRefMap", "true")
         }
         named("server") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
             property("mixin.env.disableRefMap", "true")
         }
     }

platforms/mixin-common/src/main/java/com/dfsek/terra/mod/mixin/implementations/terra/chunk/WorldChunkMixin.java

@@ -17,8 +17,11 @@
 
 package com.dfsek.terra.mod.mixin.implementations.terra.chunk;
 
+import net.minecraft.block.Block;
 import net.minecraft.util.math.BlockPos;
+import net.minecraft.world.chunk.Chunk.TickSchedulers;
 import net.minecraft.world.chunk.WorldChunk;
+import net.minecraft.world.tick.OrderedTick;
 import org.jetbrains.annotations.NotNull;
 import org.jetbrains.annotations.Nullable;
 import org.spongepowered.asm.mixin.Final;
@@ -47,8 +50,21 @@ public abstract class WorldChunkMixin {
     @Nullable
     public abstract net.minecraft.block.BlockState setBlockState(BlockPos pos, net.minecraft.block.BlockState state, boolean moved);
     
+    @Shadow
+    public abstract TickSchedulers getTickSchedulers();
+    
     public void terra$setBlock(int x, int y, int z, BlockState data, boolean physics) {
-        setBlockState(new BlockPos(x, y, z), (net.minecraft.block.BlockState) data, false);
+        BlockPos blockPos = new BlockPos(x, y, z);
+        setBlockState(blockPos, (net.minecraft.block.BlockState) data, false);
+        if (physics) {
+            net.minecraft.block.BlockState state = ((net.minecraft.block.BlockState) data);
+            if (state.isLiquid()) {
+                world.getFluidTickScheduler().scheduleTick(OrderedTick.create(state.getFluidState().getFluid(), blockPos));
+            } else {
+                world.getBlockTickScheduler().scheduleTick(OrderedTick.create(state.getBlock(), blockPos));
+            }
+            
+        }
     }
     
     public void terra$setBlock(int x, int y, int z, @NotNull BlockState blockState) {

platforms/mixin-lifecycle/build.gradle.kts

@@ -15,6 +15,11 @@ dependencies {
     
     minecraft("com.mojang:minecraft:${Versions.Mod.minecraft}")
     mappings("net.fabricmc:yarn:${Versions.Mod.yarn}:v2")
+    
+    modImplementation("cloud.commandframework", "cloud-fabric", Versions.Libraries.cloud) {
+        exclude("net.fabricmc")
+        exclude("net.fabricmc.fabric-api")
+    }
 }
 
 loom {

platforms/mixin-lifecycle/src/main/java/com/dfsek/terra/lifecycle/LifecycleEntryPoint.java

@@ -0,0 +1,34 @@
+package com.dfsek.terra.lifecycle;
+
+import cloud.commandframework.execution.CommandExecutionCoordinator;
+
+import cloud.commandframework.fabric.FabricServerCommandManager;
+
+import com.dfsek.terra.api.command.CommandSender;
+import com.dfsek.terra.api.event.events.platform.CommandRegistrationEvent;
+
+import com.dfsek.terra.mod.MinecraftAddon;
+
+import net.minecraft.server.command.ServerCommandSource;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+public class LifecycleEntryPoint {
+    private static final Logger logger = LoggerFactory.getLogger(LifecycleEntryPoint.class);
+    
+    protected static void initialize(String modName, LifecyclePlatform platform) {
+        logger.info("Initializing Terra {} mod...", modName);
+    
+        FabricServerCommandManager<CommandSender> manager = new FabricServerCommandManager<>(
+                CommandExecutionCoordinator.simpleCoordinator(),
+                serverCommandSource -> (CommandSender) serverCommandSource,
+                commandSender -> (ServerCommandSource) commandSender
+        );
+    
+    
+        manager.brigadierManager().setNativeNumberSuggestions(false);
+    
+        platform.getEventManager().callEvent(new CommandRegistrationEvent(manager));
+    }
+}

platforms/mixin-lifecycle/src/main/java/com/dfsek/terra/lifecycle/LifecyclePlatform.java

@@ -2,6 +2,7 @@ package com.dfsek.terra.lifecycle;
 
 import ca.solostudios.strata.Versions;
 import ca.solostudios.strata.parser.tokenizer.ParseException;
+import ca.solostudios.strata.version.Version;
 
 import com.dfsek.terra.lifecycle.util.BiomeUtil;
 
@@ -20,6 +21,7 @@ import org.slf4j.LoggerFactory;
 import java.util.ArrayList;
 import java.util.Collection;
 import java.util.List;
+import java.util.stream.Stream;
 import java.util.concurrent.atomic.AtomicReference;
 
 import com.dfsek.terra.addon.EphemeralAddon;
@@ -103,12 +105,26 @@ public abstract class LifecyclePlatform extends ModPlatform {
                 LOGGER.warn("Failed to parse Minecraft version", e);
             }
         }
-        
+    
         addons.addAll(getPlatformMods());
-        
+    
         return addons;
     }
     
+    protected Stream<EphemeralAddon> parseModData(String id, String modVersion) {
+        if(id.equals("terra") || id.equals("minecraft") || id.equals("java")) return Stream.empty();
+        try {
+            Version version = Versions.parseVersion(modVersion);
+            return Stream.of(new EphemeralAddon(version, "quilt:" + id));
+        } catch(ParseException e) {
+            LOGGER.warn(
+                    "Mod {}, version {} does not follow semantic versioning specification, Terra addons will be unable to depend on " +
+                    "it.",
+                    id, modVersion);
+        }
+        return Stream.empty();
+    }
+    
     @Override
     public Registry<DimensionType> dimensionTypeRegistry() {
         return DIMENSIONS.get();

platforms/quilt/build.gradle.kts

@@ -50,10 +50,10 @@ loom {
     
     launches {
         named("client") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
         }
         named("server") {
-            property("fabric.log.level", "debug")
+            property("fabric.log.level", "info")
         }
     }
 }

platforms/quilt/src/main/java/com/dfsek/terra/quilt/QuiltEntryPoint.java

@@ -17,36 +17,17 @@
 
 package com.dfsek.terra.quilt;
 
-import cloud.commandframework.execution.CommandExecutionCoordinator;
-import cloud.commandframework.fabric.FabricServerCommandManager;
-import net.minecraft.server.command.ServerCommandSource;
 import org.quiltmc.loader.api.ModContainer;
 import org.quiltmc.qsl.base.api.entrypoint.ModInitializer;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 
-import com.dfsek.terra.api.command.CommandSender;
-import com.dfsek.terra.api.event.events.platform.CommandRegistrationEvent;
+import com.dfsek.terra.lifecycle.LifecycleEntryPoint;
 
 
-public class QuiltEntryPoint implements ModInitializer {
-    private static final Logger logger = LoggerFactory.getLogger(QuiltEntryPoint.class);
-    
+public class QuiltEntryPoint extends LifecycleEntryPoint implements ModInitializer {
     private static final QuiltPlatform TERRA_PLUGIN = new QuiltPlatform();
-
+    
     @Override
     public void onInitialize(ModContainer container) {
-        logger.info("Initializing Terra Quilt mod...");
-        
-        FabricServerCommandManager<CommandSender> manager = new FabricServerCommandManager<>(
-                CommandExecutionCoordinator.simpleCoordinator(),
-                serverCommandSource -> (CommandSender) serverCommandSource,
-                commandSender -> (ServerCommandSource) commandSender
-        );
-        
-        
-        manager.brigadierManager().setNativeNumberSuggestions(false);
-        
-        TERRA_PLUGIN.getEventManager().callEvent(new CommandRegistrationEvent(manager));
+        initialize("Quilt", TERRA_PLUGIN);
     }
 }

platforms/quilt/src/main/java/com/dfsek/terra/quilt/QuiltPlatform.java

@@ -17,43 +17,23 @@
 
 package com.dfsek.terra.quilt;
 
-import ca.solostudios.strata.Versions;
-import ca.solostudios.strata.parser.tokenizer.ParseException;
-import ca.solostudios.strata.version.Version;
 import org.jetbrains.annotations.NotNull;
 import org.quiltmc.loader.api.QuiltLoader;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 
 import java.io.File;
 import java.util.Collection;
 import java.util.stream.Collectors;
-import java.util.stream.Stream;
 
-import com.dfsek.terra.addon.EphemeralAddon;
 import com.dfsek.terra.api.addon.BaseAddon;
 import com.dfsek.terra.lifecycle.LifecyclePlatform;
 
 
 public class QuiltPlatform extends LifecyclePlatform {
-    private static final Logger LOGGER = LoggerFactory.getLogger(QuiltPlatform.class);
     
     @Override
     protected Collection<BaseAddon> getPlatformMods() {
-        return QuiltLoader.getAllMods().stream().flatMap(mod -> {
-            String id = mod.metadata().id();
-            if(id.equals("terra") || id.equals("minecraft") || id.equals("java")) return Stream.empty();
-            try {
-                Version version = Versions.parseVersion(mod.metadata().version().raw());
-                return Stream.of(new EphemeralAddon(version, "quilt:" + id));
-            } catch(ParseException e) {
-                LOGGER.warn(
-                        "Mod {}, version {} does not follow semantic versioning specification, Terra addons will be unable to depend on " +
-                        "it.",
-                        id, mod.metadata().version().raw());
-            }
-            return Stream.empty();
-        }).collect(Collectors.toList());
+        return QuiltLoader.getAllMods().stream().flatMap(mod -> parseModData(mod.metadata().id(), mod.metadata().version().raw())).collect(
+                Collectors.toList());
     }
     
     @Override