/**
* Copyright (c) 2013, Cloudera, Inc. All Rights Reserved.
*
* Cloudera, Inc. licenses this file to you 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
*
* This software 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.cloudera.science.ml.parallel.covariance;
import org.junit.Test;
import java.util.Random;
import static org.junit.Assert.assertEquals;
public class CoMomentTest {
private Random r = new Random(1729L);
@Test
public void testMerge() throws Exception {
CoMoment a = new CoMoment();
CoMoment b = new CoMoment();
CoMoment c = new CoMoment();
for (int i = 0; i < 100; i++) {
double r1 = r.nextDouble(), r2 = r.nextDouble();
c.update(r1, r2);
if (i % 2 == 0) {
a.update(r1, r2);
} else {
b.update(r1, r2);
}
}
assertEquals(c, a.merge(b));
assertEquals(c, b.merge(a));
}
@Test
public void testMergeZero() throws Exception {
CoMoment cm = new CoMoment();
for (int i = 0; i < 10; i++) {
cm.update(r.nextDouble(), r.nextDouble());
}
assertEquals(cm, cm.merge(new CoMoment()));
assertEquals(cm, new CoMoment().merge(cm));
}
}