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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF 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
*
* 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.apache.datasketches.quantiles;
import static org.testng.Assert.assertEquals;
import static org.testng.Assert.assertFalse;
import static org.testng.Assert.assertTrue;
import java.util.Random;
import org.testng.annotations.Test;
import org.apache.datasketches.SketchesArgumentException;
@SuppressWarnings("javadoc")
public class KolmogorovSmirnovTest {
@Test
public void checkKomologorovSmirnovStatistic1() {
final int k = 256;
final UpdateDoublesSketch s1 = DoublesSketch.builder().setK(k).build();
final UpdateDoublesSketch s2 = DoublesSketch.builder().setK(k).build();
final Random rand = new Random();
final int n = (3 * k) - 1;
for (int i = 0; i < n; ++i) {
final double x = rand.nextGaussian();
s1.update(x + 100);
s2.update(x);
}
assertEquals(KolmogorovSmirnov.computeKSDelta(s1, s2), 1.0, 1E-6);
println("D = " + KolmogorovSmirnov.computeKSDelta(s1, s2));
}
@Test
public void checkKomologorovSmirnovStatistic2() {
final int k = 256;
final UpdateDoublesSketch s1 = DoublesSketch.builder().setK(k).build();
final UpdateDoublesSketch s2 = DoublesSketch.builder().setK(k).build();
final Random rand = new Random();
final int n = (3 * k) - 1;
for (int i = 0; i < n; ++i) {
final double x = rand.nextGaussian();
s1.update(x);
s2.update(x);
}
assertEquals(KolmogorovSmirnov.computeKSDelta(s1, s2), 0, .01);
println("D = " + KolmogorovSmirnov.computeKSDelta(s1, s2));
}
@Test
public void checkKomologorovSmirnovStatistic3() {
final int k = 2048;
final UpdateDoublesSketch s1 = DoublesSketch.builder().setK(k).build();
final UpdateDoublesSketch s2 = DoublesSketch.builder().setK(k).build();
final double tgtPvalue = .05;
final Random rand = new Random();
final int n = (3 * k) - 1;
for (int i = 0; i < n; ++i) {
final double x = rand.nextGaussian();
s1.update(x + .05);
s2.update(x);
}
double D = KolmogorovSmirnov.computeKSDelta(s1, s2);
double thresh = KolmogorovSmirnov.computeKSThreshold(s1, s2, tgtPvalue);
final boolean reject = KolmogorovSmirnov.kolmogorovSmirnovTest(s1, s2, tgtPvalue);
println("pVal = " + tgtPvalue + "\nK = " + k + "\nD = " + D + "\nTh = " + thresh
+ "\nNull Hypoth Rejected = " + reject);
assertFalse(reject);
}
@Test
public void checkKomologorovSmirnovStatistic4() {
final int k = 8192;
final UpdateDoublesSketch s1 = DoublesSketch.builder().setK(k).build();
final UpdateDoublesSketch s2 = DoublesSketch.builder().setK(k).build();
final double tgtPvalue = .05;
final Random rand = new Random();
final int n = (3 * k) - 1;
for (int i = 0; i < n; ++i) {
final double x = rand.nextGaussian();
s1.update(x + .05);
s2.update(x);
}
double D = KolmogorovSmirnov.computeKSDelta(s1, s2);
double thresh = KolmogorovSmirnov.computeKSThreshold(s1, s2, tgtPvalue);
final boolean reject = KolmogorovSmirnov.kolmogorovSmirnovTest(s1, s2, tgtPvalue);
println("pVal = " + tgtPvalue + "\nK = " + k + "\nD = " + D + "\nTh = " + thresh
+ "\nNull Hypoth Rejected = " + reject);
assertTrue(reject);
}
@Test
public void printlnTest() {
println("PRINTING: "+this.getClass().getName());
}
/**
* @param s value to print
*/
static void println(String s) {
//System.out.println(s); //disable here
}
}