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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.math4.legacy.stat.descriptive.rank;
18  
19  import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
20  import org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic;
21  import org.junit.Assert;
22  import org.junit.Test;
23  
24  /**
25   * Test cases for the {@link UnivariateStatistic} class.
26   */
27  public class MinTest extends StorelessUnivariateStatisticAbstractTest{
28  
29      protected Min stat;
30  
31      /**
32       * {@inheritDoc}
33       */
34      @Override
35      public UnivariateStatistic getUnivariateStatistic() {
36          return new Min();
37      }
38  
39      /**
40       * {@inheritDoc}
41       */
42      @Override
43      public double expectedValue() {
44          return this.min;
45      }
46  
47      @Test
48      public void testSpecialValues() {
49          double[] testArray = {0d, Double.NaN, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY};
50          Min min = new Min();
51          Assert.assertTrue(Double.isNaN(min.getResult()));
52          min.increment(testArray[0]);
53          Assert.assertEquals(0d, min.getResult(), 0);
54          min.increment(testArray[1]);
55          Assert.assertEquals(0d, min.getResult(), 0);
56          min.increment(testArray[2]);
57          Assert.assertEquals(0d, min.getResult(), 0);
58          min.increment(testArray[3]);
59          Assert.assertEquals(Double.NEGATIVE_INFINITY, min.getResult(), 0);
60          Assert.assertEquals(Double.NEGATIVE_INFINITY, min.evaluate(testArray), 0);
61      }
62  
63      @Test
64      public void testNaNs() {
65          Min min = new Min();
66          double nan = Double.NaN;
67          Assert.assertEquals(2d, min.evaluate(new double[]{nan, 2d, 3d}), 0);
68          Assert.assertEquals(1d, min.evaluate(new double[]{1d, nan, 3d}), 0);
69          Assert.assertEquals(1d, min.evaluate(new double[]{1d, 2d, nan}), 0);
70          Assert.assertTrue(Double.isNaN(min.evaluate(new double[]{nan, nan, nan})));
71      }
72  }