vtm/vtm-tests/test/org/oscim/utils/RTreeTest.java
2019-05-17 18:55:38 +03:00

483 lines
16 KiB
Java

/*
* Copyright 2014 Hannes Janetzek
* Copyright 2016 devemux86
* Copyright 2019 Izumi Kawashima
*
* This file is part of the OpenScienceMap project (http://www.opensciencemap.org).
*
* This program is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
* PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License along with
* this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.oscim.utils;
import org.junit.Assert;
import org.junit.Test;
import org.oscim.core.Box;
import org.oscim.core.Point;
import org.oscim.utils.SpatialIndex.SearchCb;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import static org.junit.Assert.assertEquals;
public class RTreeTest {
public class Item {
final int val;
final double[] min;
final double[] max;
Item(final double[] min, final double[] max, int val) {
this.val = val;
this.min = min.clone();
this.max = max.clone();
}
Item(int xmin, int ymin, int xmax, int ymax, int val) {
this.val = val;
this.min = new double[]{xmin, ymin};
this.max = new double[]{xmax, ymax};
}
@Override
public String toString() {
// return val + "/"
// + Arrays.toString(min) + "/"
// + Arrays.toString(max);
return String.valueOf(val);
}
}
@Test
public void shouldRemove() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {1, 1};
Item it = new Item(min, max, 1);
t.insert(min, max, it);
Assert.assertEquals(1, t.size());
t.remove(min, max, it);
Assert.assertEquals(0, t.size());
}
@Test
public void shouldWork() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {1, 1};
for (int i = 0; i < 1000; i++) {
Item it = new Item(min, max, i);
//out.println("insert: " + it.val);
t.insert(min, max, it);
min[0]++;
min[1]++;
max[0]++;
max[1]++;
}
Assert.assertEquals(1000, t.size());
min[0] = 0;
min[1] = 0;
// max[0] = 4;
// max[1] = 4;
final ArrayList<Item> results = new ArrayList<Item>();
t.search(min, max, new SearchCb<RTreeTest.Item>() {
@Override
public boolean call(Item item, Object context) {
//out.println("found: " + item);
results.add(item);
return true;
}
},
null);
for (int i = 999; i >= 0; i--) {
Item it = results.remove(i);
//boolean removed =
t.remove(it.min, it.max, it);
//out.println("REMOVED: " + it + " " + removed);
Assert.assertEquals(i, t.size());
}
Assert.assertEquals(0, t.size());
}
@Test
public void shouldStack1() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {1, 1};
int numItems = 10000;
for (int i = 0; i < numItems; i++) {
Item it = new Item(min, max, i);
//out.println("insert: " + it.val);
t.insert(min, max, it);
min[0]++;
min[1]++;
max[0]++;
max[1]++;
}
assertEquals(numItems, t.size());
min[0] = 0;
min[1] = 0;
final ArrayList<Item> results = new ArrayList<Item>();
t.search(min, max, new SearchCb<RTreeTest.Item>() {
@Override
public boolean call(Item item, Object context) {
//out.println("found: " + item);
results.add(item);
return true;
}
}, null);
assertEquals(results.size(), numItems);
// for (int i = 999; i >= 0; i--) {
// Item it = results.remove(i);
// boolean removed = t.remove(it.min, it.max, it);
// //out.println("REMOVED: " + it + " " + removed);
//
// Assert.assertEquals(i, t.count());
// }
// Assert.assertEquals(0, t.count());
}
@Test
public void shouldStack2() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {1, 1};
int numItems = 10000;
for (int i = 0; i < numItems; i++) {
Item it = new Item(min, max, i);
//out.println("insert: " + it.val);
t.insert(min, max, it);
min[0]++;
min[1]++;
max[0]++;
max[1]++;
}
assertEquals(numItems, t.size());
min[0] = 0;
min[1] = 0;
final ArrayList<Item> results = new ArrayList<Item>();
Box bbox = new Box(min[0], min[1], max[0], max[1]);
t.search(bbox, results);
assertEquals(numItems, results.size());
// for (int i = 999; i >= 0; i--) {
// Item it = results.remove(i);
// boolean removed = t.remove(it.min, it.max, it);
// //out.println("REMOVED: " + it + " " + removed);
//
// Assert.assertEquals(i, t.count());
// }
// Assert.assertEquals(0, t.count());
}
@Test
public void shouldWork0() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {0, 0};
Random r = new Random((long) (Math.PI * 10000000));
ArrayList<Item> items = new ArrayList<Item>();
for (int i = 0; i < 10000; i++) {
min[0] = r.nextDouble() * 10000 - 5000;
min[1] = Math.random() * 10000 - 5000;
max[0] = min[0] + Math.random() * 100;
max[1] = min[1] + Math.random() * 100;
Item it = new Item(min, max, i);
t.insert(min, max, it);
items.add(it);
}
Assert.assertEquals(10000, t.size());
/*SearchCb<RTreeTest.Item> cb = new SearchCb<RTreeTest.Item>() {
@Override
public boolean call(Item item, Object context) {
//out.println("found: " + item);
//results.add(item);
return true;
}
};
int counter = 0;
for (int i = 0; i < 10000; i++) {
counter += t.search(min, max, cb, null);
}
System.out.println("found: " + counter);*/
}
@Test
public void shouldWork1() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {0, 0};
ArrayList<Item> items = new ArrayList<Item>();
for (int i = 0; i < 10000; i++) {
min[0] = Math.random() * 10000 - 5000;
min[1] = Math.random() * 10000 - 5000;
max[0] = min[0] + Math.random() * 1000;
max[1] = min[1] + Math.random() * 1000;
Item it = new Item(min, max, i);
t.insert(min, max, it);
items.add(it);
}
Assert.assertEquals(10000, t.size());
for (Item it : items)
t.remove(it.min, it.max, it);
Assert.assertEquals(0, t.size());
}
@Test
public void shouldWork2() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {0, 0};
ArrayList<Item> items = new ArrayList<Item>();
int numItems = 10000;
for (int i = 0; i < numItems; i++) {
min[0] = Math.random() * 10000 - 5000;
min[1] = Math.random() * 10000 - 5000;
max[0] = min[0] + Math.random() * 1000;
max[1] = min[1] + Math.random() * 1000;
Item it = new Item(min, max, i);
t.insert(min, max, it);
items.add(it);
}
Assert.assertEquals(numItems, t.size());
for (Item it : items)
t.remove(it.min, it.max, it);
Assert.assertEquals(0, t.size());
}
@Test
public void shouldWork3() {
RTree<Item> t = new RTree<Item>();
double[] min = {0, 0};
double[] max = {0, 0};
ArrayList<Item> items = new ArrayList<Item>();
for (int i = 0; i < 1000; i++) {
min[0] = Math.random() * 10000 - 5000;
min[1] = Math.random() * 10000 - 5000;
max[0] = min[0] + Math.random() * 1000;
max[1] = min[1] + Math.random() * 1000;
Item it = new Item(min, max, i);
t.insert(min, max, it);
items.add(it);
}
int cnt = 0;
for (@SuppressWarnings("unused") Item it : t) {
//System.out.println(it.val);
cnt++;
}
Assert.assertEquals(1000, cnt);
Assert.assertEquals(1000, t.size());
}
/**
* Use values from https://github.com/mourner/rbush-knn/blob/master/test.js
*/
private List<Item> generateKnnTestFixture() {
List<Item> items = new ArrayList<Item>();
items.add(new Item(87, 55, 87, 56, items.size()));
items.add(new Item(38, 13, 39, 16, items.size()));
items.add(new Item(7, 47, 8, 47, items.size()));
items.add(new Item(89, 9, 91, 12, items.size()));
items.add(new Item(4, 58, 5, 60, items.size()));
items.add(new Item(0, 11, 1, 12, items.size()));
items.add(new Item(0, 5, 0, 6, items.size()));
items.add(new Item(69, 78, 73, 78, items.size()));
items.add(new Item(56, 77, 57, 81, items.size()));
items.add(new Item(23, 7, 24, 9, items.size()));
items.add(new Item(68, 24, 70, 26, items.size()));
items.add(new Item(31, 47, 33, 50, items.size()));
items.add(new Item(11, 13, 14, 15, items.size()));
items.add(new Item(1, 80, 1, 80, items.size()));
items.add(new Item(72, 90, 72, 91, items.size()));
items.add(new Item(59, 79, 61, 83, items.size()));
items.add(new Item(98, 77, 101, 77, items.size()));
items.add(new Item(11, 55, 14, 56, items.size()));
items.add(new Item(98, 4, 100, 6, items.size()));
items.add(new Item(21, 54, 23, 58, items.size()));
items.add(new Item(44, 74, 48, 74, items.size()));
items.add(new Item(70, 57, 70, 61, items.size()));
items.add(new Item(32, 9, 33, 12, items.size()));
items.add(new Item(43, 87, 44, 91, items.size()));
items.add(new Item(38, 60, 38, 60, items.size()));
items.add(new Item(62, 48, 66, 50, items.size()));
items.add(new Item(16, 87, 19, 91, items.size()));
items.add(new Item(5, 98, 9, 99, items.size()));
items.add(new Item(9, 89, 10, 90, items.size()));
items.add(new Item(89, 2, 92, 6, items.size()));
items.add(new Item(41, 95, 45, 98, items.size()));
items.add(new Item(57, 36, 61, 40, items.size()));
items.add(new Item(50, 1, 52, 1, items.size()));
items.add(new Item(93, 87, 96, 88, items.size()));
items.add(new Item(29, 42, 33, 42, items.size()));
items.add(new Item(34, 43, 36, 44, items.size()));
items.add(new Item(41, 64, 42, 65, items.size()));
items.add(new Item(87, 3, 88, 4, items.size()));
items.add(new Item(56, 50, 56, 52, items.size()));
items.add(new Item(32, 13, 35, 15, items.size()));
items.add(new Item(3, 8, 5, 11, items.size()));
items.add(new Item(16, 33, 18, 33, items.size()));
items.add(new Item(35, 39, 38, 40, items.size()));
items.add(new Item(74, 54, 78, 56, items.size()));
items.add(new Item(92, 87, 95, 90, items.size()));
items.add(new Item(12, 97, 16, 98, items.size()));
items.add(new Item(76, 39, 78, 40, items.size()));
items.add(new Item(16, 93, 18, 95, items.size()));
items.add(new Item(62, 40, 64, 42, items.size()));
items.add(new Item(71, 87, 71, 88, items.size()));
items.add(new Item(60, 85, 63, 86, items.size()));
items.add(new Item(39, 52, 39, 56, items.size()));
items.add(new Item(15, 18, 19, 18, items.size()));
items.add(new Item(91, 62, 94, 63, items.size()));
items.add(new Item(10, 16, 10, 18, items.size()));
items.add(new Item(5, 86, 8, 87, items.size()));
items.add(new Item(85, 85, 88, 86, items.size()));
items.add(new Item(44, 84, 44, 88, items.size()));
items.add(new Item(3, 94, 3, 97, items.size()));
items.add(new Item(79, 74, 81, 78, items.size()));
items.add(new Item(21, 63, 24, 66, items.size()));
items.add(new Item(16, 22, 16, 22, items.size()));
items.add(new Item(68, 97, 72, 97, items.size()));
items.add(new Item(39, 65, 42, 65, items.size()));
items.add(new Item(51, 68, 52, 69, items.size()));
items.add(new Item(61, 38, 61, 42, items.size()));
items.add(new Item(31, 65, 31, 65, items.size()));
items.add(new Item(16, 6, 19, 6, items.size()));
items.add(new Item(66, 39, 66, 41, items.size()));
items.add(new Item(57, 32, 59, 35, items.size()));
items.add(new Item(54, 80, 58, 84, items.size()));
items.add(new Item(5, 67, 7, 71, items.size()));
items.add(new Item(49, 96, 51, 98, items.size()));
items.add(new Item(29, 45, 31, 47, items.size()));
items.add(new Item(31, 72, 33, 74, items.size()));
items.add(new Item(94, 25, 95, 26, items.size()));
items.add(new Item(14, 7, 18, 8, items.size()));
items.add(new Item(29, 0, 31, 1, items.size()));
items.add(new Item(48, 38, 48, 40, items.size()));
items.add(new Item(34, 29, 34, 32, items.size()));
items.add(new Item(99, 21, 100, 25, items.size()));
items.add(new Item(79, 3, 79, 4, items.size()));
items.add(new Item(87, 1, 87, 5, items.size()));
items.add(new Item(9, 77, 9, 81, items.size()));
items.add(new Item(23, 25, 25, 29, items.size()));
items.add(new Item(83, 48, 86, 51, items.size()));
items.add(new Item(79, 94, 79, 95, items.size()));
items.add(new Item(33, 95, 33, 99, items.size()));
items.add(new Item(1, 14, 1, 14, items.size()));
items.add(new Item(33, 77, 34, 77, items.size()));
items.add(new Item(94, 56, 98, 59, items.size()));
items.add(new Item(75, 25, 78, 26, items.size()));
items.add(new Item(17, 73, 20, 74, items.size()));
items.add(new Item(11, 3, 12, 4, items.size()));
items.add(new Item(45, 12, 47, 12, items.size()));
items.add(new Item(38, 39, 39, 39, items.size()));
items.add(new Item(99, 3, 103, 5, items.size()));
items.add(new Item(41, 92, 44, 96, items.size()));
items.add(new Item(79, 40, 79, 41, items.size()));
items.add(new Item(29, 2, 29, 4, items.size()));
return items;
}
@Test
public void shouldWorkKnn() {
List<Item> items = generateKnnTestFixture();
RTree<Item> t = new RTree<Item>();
for (Item item : items)
t.insert(item.min, item.max, item);
List<Item> result = t.searchKNearestNeighbors(new Point(40, 40), 10, Double.POSITIVE_INFINITY, null);
Assert.assertEquals(10, result.size());
result = t.searchKNearestNeighbors(new Point(40, 40), 10, 17, null);
Assert.assertEquals(10, result.size());
result = t.searchKNearestNeighbors(new Point(40, 60), 90, Double.POSITIVE_INFINITY, result);
Assert.assertEquals(90, result.size());
}
public static void main(String[] args) {
RTreeTest t = new RTreeTest();
t.shouldWork2();
}
}