/*
* Copyright 2015 MovingBlocks
*
* 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 org.terasology.polyworld.sampling;
import java.math.RoundingMode;
import java.util.ArrayList;
import java.util.List;
import org.terasology.math.geom.Rect2f;
import org.terasology.math.geom.Vector2f;
import org.terasology.math.geom.Vector2i;
import org.terasology.utilities.random.Random;
import com.google.common.base.Preconditions;
import com.google.common.math.DoubleMath;
/**
* Creates a more or less isotropic sampling based on a 2D rectangular grid
* that contains at most one point per grid cell.
* A minimum distance of 1/2 cell size to points in neighboring cells in ensured.
*/
public class PoissonDiscSampling implements PointSampling {
protected Vector2i getGridDimensions(Rect2f bounds, int numSites) {
float ratio = bounds.width() / bounds.height();
double perRow = Math.sqrt(numSites / ratio);
int rows = DoubleMath.roundToInt(perRow, RoundingMode.FLOOR);
int cols = DoubleMath.roundToInt(perRow * ratio, RoundingMode.FLOOR);
// clamp to a minimum value of 2 to avoid polygons that touch
// two opposing borders of the bounding rectangle
rows = Math.max(rows, 2);
cols = Math.max(cols, 2);
return new Vector2i(cols, rows);
}
protected float getMinRadius(Rect2f bounds, int numSites) {
Vector2i dims = getGridDimensions(bounds, numSites);
int cols = dims.getX();
int rows = dims.getY();
float cellWidth = bounds.width() / cols;
float cellHeight = bounds.height() / rows;
float minRad = Math.min(cellHeight, cellWidth) * 0.5f; // they should be identical
return minRad;
}
@Override
public List<Vector2f> create(Rect2f bounds, int numSites, Random rng) {
Vector2i dims = getGridDimensions(bounds, numSites);
int cols = dims.getX();
int rows = dims.getY();
float cellWidth = bounds.width() / cols;
float cellHeight = bounds.height() / rows;
float minRad = getMinRadius(bounds, numSites);
Preconditions.checkState(minRad < cellWidth);
Preconditions.checkState(minRad < cellHeight);
List<Vector2f> points = new ArrayList<>(numSites);
List<Vector2f> cells = new ArrayList<>(numSites);
// TODO: it should be possible to shorten the list of cells to (cols + 2)
// this would also allow for using constant indices
for (int r = 0; r < rows; r++) {
float minY = bounds.minY() + r * cellHeight;
for (int c = 0; c < cols; c++) {
cells.add(null);
float minX = bounds.minX() + c * cellWidth;
// try three times to place a new point
for (int t = 0; t < 3; t++) {
float px = minX + rng.nextFloat() * cellWidth;
float py = minY + rng.nextFloat() * cellHeight;
// check distances in the following order:
// *) cell above, but ignore first row
// *) cell left, but ignore first column
// *) cell top-right, but ignore first row and last column
// *) cell top-left, but ignore first row and first column
if (((r == 0) || checkDistance(px, py, cells.get((r - 1) * cols + c), minRad))
&& ((c == 0) || checkDistance(px, py, cells.get(r * cols + c - 1), minRad))
&& ((r == 0 || c == cols - 1) || checkDistance(px, py, cells.get((r - 1) * cols + c + 1), minRad))
&& ((r == 0 || c == 0) || checkDistance(px, py, cells.get((r - 1) * cols + c - 1), minRad))) {
Vector2f pt = new Vector2f(px, py);
points.add(pt);
cells.set(r * cols + c, pt);
break;
}
}
}
}
return points;
}
private static boolean checkDistance(float px, float py, Vector2f pt, float rad) {
if (pt == null) {
return true;
}
float dx = px - pt.getX();
float dy = py - pt.getY();
return (dx * dx + dy * dy >= rad * rad);
}
}