001 /*
002 * Licensed to the Apache Software Foundation (ASF) under one or more
003 * contributor license agreements. See the NOTICE file distributed with
004 * this work for additional information regarding copyright ownership.
005 * The ASF licenses this file to You under the Apache License, Version 2.0
006 * (the "License"); you may not use this file except in compliance with
007 * the License. You may obtain a copy of the License at
008 *
009 * http://www.apache.org/licenses/LICENSE-2.0
010 *
011 * Unless required by applicable law or agreed to in writing, software
012 * distributed under the License is distributed on an "AS IS" BASIS,
013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014 * See the License for the specific language governing permissions and
015 * limitations under the License.
016 */
017 package org.apache.commons.math.stat.descriptive.rank;
018
019 import junit.framework.Test;
020 import junit.framework.TestSuite;
021
022 import org.apache.commons.math.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
023 import org.apache.commons.math.stat.descriptive.UnivariateStatistic;
024
025 /**
026 * Test cases for the {@link UnivariateStatistic} class.
027 * @version $Revision: 762087 $ $Date: 2009-04-05 10:20:18 -0400 (Sun, 05 Apr 2009) $
028 */
029 public class MinTest extends StorelessUnivariateStatisticAbstractTest{
030
031 protected Min stat;
032
033 /**
034 * @param name
035 */
036 public MinTest(String name) {
037 super(name);
038 }
039
040 public static Test suite() {
041 TestSuite suite = new TestSuite(MinTest.class);
042 suite.setName("Min Tests");
043 return suite;
044 }
045
046 /**
047 * {@inheritDoc}
048 */
049 @Override
050 public UnivariateStatistic getUnivariateStatistic() {
051 return new Min();
052 }
053
054 /**
055 * {@inheritDoc}
056 */
057 @Override
058 public double expectedValue() {
059 return this.min;
060 }
061
062 public void testSpecialValues() {
063 double[] testArray = {0d, Double.NaN, Double.POSITIVE_INFINITY,
064 Double.NEGATIVE_INFINITY};
065 Min min = new Min();
066 assertTrue(Double.isNaN(min.getResult()));
067 min.increment(testArray[0]);
068 assertEquals(0d, min.getResult(), 0);
069 min.increment(testArray[1]);
070 assertEquals(0d, min.getResult(), 0);
071 min.increment(testArray[2]);
072 assertEquals(0d, min.getResult(), 0);
073 min.increment(testArray[3]);
074 assertEquals(Double.NEGATIVE_INFINITY, min.getResult(), 0);
075 assertEquals(Double.NEGATIVE_INFINITY, min.evaluate(testArray), 0);
076 }
077
078 public void testNaNs() {
079 Min min = new Min();
080 double nan = Double.NaN;
081 assertEquals(2d, min.evaluate(new double[]{nan, 2d, 3d}), 0);
082 assertEquals(1d, min.evaluate(new double[]{1d, nan, 3d}), 0);
083 assertEquals(1d, min.evaluate(new double[]{1d, 2d, nan}), 0);
084 assertTrue(Double.isNaN(min.evaluate(new double[]{nan, nan, nan})));
085 }
086
087 }