    1   /*
    2    * Copyright 2003-2004 The Apache Software Foundation.
    3    *
    4    * Licensed under the Apache License, Version 2.0 (the "License");
    5    * you may not use this file except in compliance with the License.
    6    * You may obtain a copy of the License at
    7    *
    8    *      http://www.apache.org/licenses/LICENSE-2.0
    9    *
    10   * Unless required by applicable law or agreed to in writing, software
    11   * distributed under the License is distributed on an "AS IS" BASIS,
    12   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    13   * See the License for the specific language governing permissions and
    14   * limitations under the License.
    15   */
    16  package org.apache.commons.math.stat.descriptive;
    17
    18  import org.apache.commons.math.TestUtils;
    19  import org.apache.commons.math.stat.descriptive.moment.SecondMoment;
    20
    21  /***
    22   * Test cases for {@link StorelessUnivariateStatistic} classes.
    23   * @version $Revision: 155427 $ $Date: 2005-02-26 06:11:52 -0700 (Sat, 26 Feb 2005) $
    24   */
    25  public abstract class StorelessUnivariateStatisticAbstractTest
    26      extends UnivariateStatisticAbstractTest {
    27
    28      public StorelessUnivariateStatisticAbstractTest(String name) {
    29          super(name);
    30      }
    31
    32      /*** Small sample arrays */
    33      protected double[][] smallSamples = {{}, {1}, {1,2}, {1,2,3}, {1,2,3,4}};
    34
    35      /*** Return a new instance of the statistic */
    36      public abstract UnivariateStatistic getUnivariateStatistic();
    37
    38      /***Expected value for  the testArray defined in UnivariateStatisticAbstractTest */
    39      public abstract double expectedValue();
    40
    41      /*** Verify that calling increment() in a loop over testArray results in correct state */
    42      public void testIncrementation() throws Exception {
    43
    44          StorelessUnivariateStatistic statistic =
    45              (StorelessUnivariateStatistic) getUnivariateStatistic();
    46
    47          statistic.clear();
    48
    49          for (int i = 0; i < testArray.length; i++) {
    50              statistic.increment(testArray[i]);
    51          }
    52
    53          assertEquals(expectedValue(), statistic.getResult(), getTolerance());
    54          assertEquals(testArray.length, statistic.getN());
    55
    56          statistic.clear();
    57
    58          assertTrue(Double.isNaN(statistic.getResult()));
    59          assertEquals(0, statistic.getN());
    60
    61      }
    62
    63      public void testSerialization() throws Exception {
    64
    65          StorelessUnivariateStatistic statistic =
    66              (StorelessUnivariateStatistic) getUnivariateStatistic();
    67
    68          TestUtils.checkSerializedEquality(statistic);
    69
    70          statistic.clear();
    71
    72          for (int i = 0; i < testArray.length; i++) {
    73              statistic.increment(testArray[i]);
    74              if(i % 5 == 0)
    75                  statistic = (StorelessUnivariateStatistic)TestUtils.serializeAndRecover(statistic);
    76          }
    77
    78          TestUtils.checkSerializedEquality(statistic);
    79
    80          assertEquals(expectedValue(), statistic.getResult(), getTolerance());
    81
    82          statistic.clear();
    83
    84          assertTrue(Double.isNaN(statistic.getResult()));
    85
    86      }
    87
    88      public void testEqualsAndHashCode() {
    89          StorelessUnivariateStatistic statistic =
    90              (StorelessUnivariateStatistic) getUnivariateStatistic();
    91          StorelessUnivariateStatistic statistic2 = null;
    92
    93          assertTrue("non-null, compared to null", !statistic.equals(statistic2));
    94          assertTrue("reflexive, non-null", statistic.equals(statistic));
    95
    96          int emptyHash = statistic.hashCode();
    97          statistic2 = (StorelessUnivariateStatistic) getUnivariateStatistic();
    98          assertTrue("empty stats should be equal", statistic.equals(statistic2));
    99          assertEquals("empty stats should have the same hashcode",
    100                 emptyHash, statistic2.hashCode());
    101
    102         statistic.increment(1d);
    103         assertTrue("reflexive, non-empty", statistic.equals(statistic));
    104         assertTrue("non-empty, compared to empty", !statistic.equals(statistic2));
    105         assertTrue("non-empty, compared to empty", !statistic2.equals(statistic));
    106         assertTrue("non-empty stat should have different hashcode from empty stat",
    107                 statistic.hashCode() != emptyHash);
    108
    109         statistic2.increment(1d);
    110         assertTrue("stats with same data should be equal", statistic.equals(statistic2));
    111         assertEquals("stats with same data should have the same hashcode",
    112                 statistic.hashCode(), statistic2.hashCode());
    113
    114         statistic.increment(Double.POSITIVE_INFINITY);
    115         assertTrue("stats with different n's should not be equal", !statistic2.equals(statistic));
    116         assertTrue("stats with different n's should have different hashcodes",
    117                 statistic.hashCode() != statistic2.hashCode());
    118
    119         statistic2.increment(Double.POSITIVE_INFINITY);
    120         assertTrue("stats with same data should be equal", statistic.equals(statistic2));
    121         assertEquals("stats with same data should have the same hashcode",
    122                 statistic.hashCode(), statistic2.hashCode());
    123
    124         statistic.clear();
    125         statistic2.clear();
    126         assertTrue("cleared stats should be equal", statistic.equals(statistic2));
    127         assertEquals("cleared stats should have thashcode of empty stat",
    128                 emptyHash, statistic2.hashCode());
    129         assertEquals("cleared stats should have thashcode of empty stat",
    130                 emptyHash, statistic.hashCode());
    131
    132     }
    133
    134     public void testMomentSmallSamples() {
    135         UnivariateStatistic stat = getUnivariateStatistic();
    136         if (stat instanceof SecondMoment) {
    137             SecondMoment moment = (SecondMoment) getUnivariateStatistic();
    138             assertTrue(Double.isNaN(moment.getResult()));
    139             moment.increment(1d);
    140             assertEquals(0d, moment.getResult(), 0);
    141         }
    142     }
    143
    144     /***
    145      * Make sure that evaluate(double[]) and inrementAll(double[]),
    146      * getResult() give same results.
    147      */
    148     public void testConsistency() {
    149         StorelessUnivariateStatistic stat = (StorelessUnivariateStatistic) getUnivariateStatistic();
    150         stat.incrementAll(testArray);
    151         assertEquals(stat.getResult(), stat.evaluate(testArray), getTolerance());
    152         for (int i = 0; i < smallSamples.length; i++) {
    153             stat.clear();
    154             for (int j =0; j < smallSamples[i].length; j++) {
    155                 stat.increment(smallSamples[i][j]);
    156             }
    157             TestUtils.assertEquals(stat.getResult(), stat.evaluate(smallSamples[i]), getTolerance());
    158         }
    159     }
    160
    161 }