build(kotlin): Port SphericalMercatorProjection to Kotlin

library/src/main/java/com/google/maps/android/clustering/algo/NonHierarchicalDistanceBasedAlgorithm.java

@@ -24,7 +24,6 @@
 import com.google.maps.android.projection.SphericalMercatorProjection;
 import com.google.maps.android.quadtree.PointQuadTree;
 
-import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;
 import java.util.HashMap;

library/src/main/java/com/google/maps/android/projection/SphericalMercatorProjection.kt

@@ -0,0 +1,39 @@
+/*
+ * Copyright 2025 Google LLC.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.maps.android.projection
+
+import com.google.android.gms.maps.model.LatLng
+import com.google.maps.android.geometry.Point
+import kotlin.math.*
+
+class SphericalMercatorProjection(private val worldWidth: Double) {
+
+    fun toPoint(latLng: LatLng): Point {
+        val x = latLng.longitude / 360 + 0.5
+        val siny = sin(Math.toRadians(latLng.latitude))
+        val y = 0.5 * ln((1 + siny) / (1 - siny)) / -(2 * Math.PI) + 0.5
+        return Point(x * worldWidth, y * worldWidth)
+    }
+
+    fun toLatLng(point: Point): LatLng {
+        val x = point.x / worldWidth - 0.5
+        val lng = x * 360
+        val y = 0.5 - (point.y / worldWidth)
+        val lat = 90 - Math.toDegrees(atan(exp(-y * 2 * Math.PI)) * 2)
+        return LatLng(lat, lng)
+    }
+}