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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    *      https://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  
18  /*
19   * This is not the original file distributed by the Apache Software Foundation
20   * It has been modified by the Hipparchus project
21   */
22  package org.hipparchus.stat.descriptive.rank;
23  
24  import static org.junit.Assert.assertEquals;
25  import static org.junit.Assert.assertTrue;
26  
27  import org.hipparchus.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
28  import org.junit.Test;
29  
30  /**
31   * Test cases for the {@link Min} class.
32   */
33  public class MinTest extends StorelessUnivariateStatisticAbstractTest{
34  
35      @Override
36      public Min getUnivariateStatistic() {
37          return new Min();
38      }
39  
40      @Override
41      public double expectedValue() {
42          return this.min;
43      }
44  
45      @Test
46      public void testSpecialValues() {
47          double[] testArray = {0d, Double.NaN, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY};
48          Min min = getUnivariateStatistic();
49          assertTrue(Double.isNaN(min.getResult()));
50          min.increment(testArray[0]);
51          assertEquals(0d, min.getResult(), 0);
52          min.increment(testArray[1]);
53          assertEquals(0d, min.getResult(), 0);
54          min.increment(testArray[2]);
55          assertEquals(0d, min.getResult(), 0);
56          min.increment(testArray[3]);
57          assertEquals(Double.NEGATIVE_INFINITY, min.getResult(), 0);
58          assertEquals(Double.NEGATIVE_INFINITY, min.evaluate(testArray), 0);
59      }
60  
61      @Test
62      public void testNaNs() {
63          Min min = getUnivariateStatistic();
64          double nan = Double.NaN;
65          assertEquals(2d, min.evaluate(new double[]{nan, 2d, 3d}), 0);
66          assertEquals(1d, min.evaluate(new double[]{1d, nan, 3d}), 0);
67          assertEquals(1d, min.evaluate(new double[]{1d, 2d, nan}), 0);
68          assertTrue(Double.isNaN(min.evaluate(new double[]{nan, nan, nan})));
69      }
70  
71  }