From 73052367241fbeef106fa547b225f10343a54331 Mon Sep 17 00:00:00 2001
From: dfsek <dfsek@protonmail.com>
Date: Wed, 15 Dec 2021 21:22:41 -0700
Subject: [PATCH] create GaussianRandomLocator

---
 .../locators/GaussianRandomLocator.java       | 52 +++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 common/addons/config-locators/src/main/java/com/dfsek/terra/addons/feature/locator/locators/GaussianRandomLocator.java

diff --git a/common/addons/config-locators/src/main/java/com/dfsek/terra/addons/feature/locator/locators/GaussianRandomLocator.java b/common/addons/config-locators/src/main/java/com/dfsek/terra/addons/feature/locator/locators/GaussianRandomLocator.java
new file mode 100644
index 000000000..3bddbefc0
--- /dev/null
+++ b/common/addons/config-locators/src/main/java/com/dfsek/terra/addons/feature/locator/locators/GaussianRandomLocator.java
@@ -0,0 +1,52 @@
+/*
+ * 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.feature.locator.locators;
+
+import java.util.Random;
+
+import com.dfsek.terra.api.structure.feature.BinaryColumn;
+import com.dfsek.terra.api.structure.feature.Locator;
+import com.dfsek.terra.api.util.Range;
+import com.dfsek.terra.api.world.chunk.generation.util.Column;
+
+
+public class GaussianRandomLocator implements Locator {
+    private final double mean;
+    
+    private final Range points;
+    
+    private final double standardDeviation;
+    
+    
+    public GaussianRandomLocator(Range height, Range points, double standardDeviation) {
+        this.mean = (height.getMax() + height.getMin()) / 2.0;
+        this.points = points;
+        this.standardDeviation = standardDeviation;
+    }
+    
+    @Override
+    public BinaryColumn getSuitableCoordinates(Column<?> column) {
+        long seed = column.getWorld().getSeed();
+        seed = 31 * seed + column.getX();
+        seed = 31 * seed + column.getZ();
+        
+        Random r = new Random(seed);
+        
+        int size = points.get(r);
+        
+        
+        BinaryColumn results = new BinaryColumn(column.getMinY(), column.getMaxY());
+        for(int i = 0; i < size; i++) {
+            int h = (int) r.nextGaussian(mean, standardDeviation);
+            if(h >= column.getMaxY() || h < column.getMinY()) continue;
+            results.set(h);
+        }
+        
+        return results;
+    }
+}