1 | // Copyright 2012 Georg-August-Universität Göttingen, Germany
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2 | //
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3 | // Licensed under the Apache License, Version 2.0 (the "License");
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4 | // you may not use this file except in compliance with the License.
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5 | // You may obtain a copy of the License at
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6 | //
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7 | // http://www.apache.org/licenses/LICENSE-2.0
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8 | //
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9 | // Unless required by applicable law or agreed to in writing, software
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10 | // distributed under the License is distributed on an "AS IS" BASIS,
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11 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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12 | // See the License for the specific language governing permissions and
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13 | // limitations under the License.
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14 |
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15 | package de.ugoe.cs.autoquest.usageprofiles;
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16 |
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17 | import java.util.ArrayList;
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18 | import java.util.Collection;
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19 | import java.util.HashSet;
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20 | import java.util.List;
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21 | import java.util.Random;
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22 | import org.junit.*;
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23 |
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24 | import de.ugoe.cs.autoquest.eventcore.Event;
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25 | import de.ugoe.cs.autoquest.eventcore.StringEventType;
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26 | import de.ugoe.cs.autoquest.usageprofiles.FirstOrderMarkovModel;
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27 | import de.ugoe.cs.autoquest.usageprofiles.HighOrderMarkovModel;
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28 | import de.ugoe.cs.autoquest.usageprofiles.ModelFlattener;
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29 | import de.ugoe.cs.autoquest.usageprofiles.PredictionByPartialMatch;
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30 | import de.ugoe.cs.autoquest.usageprofiles.TrieNode;
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31 | import static org.junit.Assert.*;
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32 |
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33 | /**
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34 | * The class <code>ModelFlattenerTest</code> contains tests for the class
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35 | * <code>{@link ModelFlattener}</code>.
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36 | *
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37 | * @author Steffen Herbold
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38 | * @version 1.0
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39 | */
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40 | public class ModelFlattenerTest {
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41 |
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42 | List<Event> sequence;
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43 |
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44 | private static void assertCollectionContent(Collection<?> c1, Collection<?> c2) {
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45 | assertEquals(c1.size(), c2.size());
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46 | for (Object obj : c1) {
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47 | assertTrue(c2.contains(obj));
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48 | }
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49 | }
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50 |
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51 | @Test
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52 | public void testFlattenHighOrderMarkovModel_1() throws Exception {
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53 | ModelFlattener fixture = new ModelFlattener();
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54 | HighOrderMarkovModel model = new HighOrderMarkovModel(2, new Random());
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55 | Collection<List<Event>> sequences = new ArrayList<List<Event>>();
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56 | sequences.add(sequence);
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57 | model.train(sequences);
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58 |
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59 | Collection<Event> expectedSymbols = new HashSet<Event>();
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60 | expectedSymbols.add(new Event(new StringEventType("a-=-END")));
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61 | expectedSymbols.add(new Event(new StringEventType("a-=-b")));
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62 | expectedSymbols.add(new Event(new StringEventType("a-=-c")));
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63 | expectedSymbols.add(new Event(new StringEventType("a-=-d")));
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64 | expectedSymbols.add(new Event(new StringEventType("b-=-r")));
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65 | expectedSymbols.add(new Event(new StringEventType("c-=-a")));
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66 | expectedSymbols.add(new Event(new StringEventType("d-=-a")));
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67 | expectedSymbols.add(new Event(new StringEventType("r-=-a")));
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68 | expectedSymbols.add(new Event(new StringEventType("START-=-a")));
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69 |
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70 | FirstOrderMarkovModel result = fixture.flattenHighOrderMarkovModel(model);
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71 |
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72 | assertCollectionContent(expectedSymbols, result.getEvents());
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73 |
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74 | TrieNode<Event> root = result.trie.find(null);
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75 | TrieNode<Event> root_aEnd = root.getChild(new Event(new StringEventType("a-=-END")));
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76 | TrieNode<Event> root_ab = root.getChild(new Event(new StringEventType("a-=-b")));
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77 | TrieNode<Event> root_ab_br = root_ab.getChild(new Event(new StringEventType("b-=-r")));
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78 | TrieNode<Event> root_ac = root.getChild(new Event(new StringEventType("a-=-c")));
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79 | TrieNode<Event> root_ac_ca = root_ac.getChild(new Event(new StringEventType("c-=-a")));
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80 | TrieNode<Event> root_ad = root.getChild(new Event(new StringEventType("a-=-d")));
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81 | TrieNode<Event> root_ad_da = root_ad.getChild(new Event(new StringEventType("d-=-a")));
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82 | TrieNode<Event> root_br = root.getChild(new Event(new StringEventType("b-=-r")));
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83 | TrieNode<Event> root_br_ra = root_br.getChild(new Event(new StringEventType("r-=-a")));
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84 | TrieNode<Event> root_ca = root.getChild(new Event(new StringEventType("c-=-a")));
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85 | TrieNode<Event> root_ca_ad = root_ca.getChild(new Event(new StringEventType("a-=-d")));
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86 | TrieNode<Event> root_da = root.getChild(new Event(new StringEventType("d-=-a")));
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87 | TrieNode<Event> root_da_ab = root_da.getChild(new Event(new StringEventType("a-=-b")));
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88 | TrieNode<Event> root_ra = root.getChild(new Event(new StringEventType("r-=-a")));
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89 | TrieNode<Event> root_ra_ac = root_ra.getChild(new Event(new StringEventType("a-=-c")));
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90 | TrieNode<Event> root_ra_aEnd = root_ra.getChild(new Event(new StringEventType("a-=-END")));
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91 | TrieNode<Event> root_startA = root.getChild(new Event(new StringEventType("START-=-a")));
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92 | TrieNode<Event> root_startA_ab =
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93 | root_startA.getChild(new Event(new StringEventType("a-=-b")));
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94 |
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95 | assertEquals(1, root_aEnd.getCount());
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96 | assertTrue(root_aEnd.isLeaf());
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97 | assertEquals(2, root_ab.getCount());
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98 | assertEquals(1, root_ab.getChildren().size());
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99 | assertEquals(2, root_ab_br.getCount());
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100 | assertTrue(root_ab_br.isLeaf());
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101 | assertEquals(1, root_ac.getCount());
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102 | assertEquals(1, root_ac.getChildren().size());
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103 | assertEquals(1, root_ac_ca.getCount());
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104 | assertTrue(root_ac_ca.isLeaf());
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105 | assertEquals(1, root_ad.getCount());
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106 | assertEquals(1, root_ad.getChildren().size());
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107 | assertEquals(1, root_ad_da.getCount());
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108 | assertTrue(root_ad_da.isLeaf());
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109 | assertEquals(2, root_br.getCount());
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110 | assertEquals(1, root_br.getChildren().size());
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111 | assertEquals(2, root_br_ra.getCount());
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112 | assertTrue(root_br_ra.isLeaf());
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113 | assertEquals(1, root_ca.getCount());
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114 | assertEquals(1, root_ca.getChildren().size());
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115 | assertEquals(1, root_ca_ad.getCount());
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116 | assertTrue(root_ca_ad.isLeaf());
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117 | assertEquals(1, root_da.getCount());
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118 | assertEquals(1, root_da.getChildren().size());
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119 | assertEquals(1, root_da_ab.getCount());
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120 | assertTrue(root_da_ab.isLeaf());
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121 | assertEquals(2, root_ra.getCount());
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122 | assertEquals(2, root_ra.getChildren().size());
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123 | assertEquals(1, root_ra_ac.getCount());
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124 | assertTrue(root_ra_ac.isLeaf());
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125 | assertEquals(1, root_ra_aEnd.getCount());
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126 | assertTrue(root_ra_aEnd.isLeaf());
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127 | assertEquals(1, root_startA.getCount());
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128 | assertEquals(1, root_startA.getChildren().size());
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129 | assertEquals(1, root_startA_ab.getCount());
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130 | assertTrue(root_startA_ab.isLeaf());
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131 | }
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132 |
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133 | @Test
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134 | public void testFlattenPredictionByPartialMatch_1() throws Exception {
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135 | ModelFlattener fixture = new ModelFlattener();
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136 | PredictionByPartialMatch model = new PredictionByPartialMatch(1, new Random());
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137 |
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138 | FirstOrderMarkovModel result = fixture.flattenPredictionByPartialMatch(model);
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139 |
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140 | assertEquals(null, result);
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141 | }
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142 |
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143 | @Before
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144 | public void setUp() throws Exception {
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145 | sequence = new ArrayList<Event>();
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146 | sequence.add(new Event(new StringEventType("a")));
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147 | sequence.add(new Event(new StringEventType("b")));
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148 | sequence.add(new Event(new StringEventType("r")));
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149 | sequence.add(new Event(new StringEventType("a")));
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150 | sequence.add(new Event(new StringEventType("c")));
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151 | sequence.add(new Event(new StringEventType("a")));
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152 | sequence.add(new Event(new StringEventType("d")));
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153 | sequence.add(new Event(new StringEventType("a")));
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154 | sequence.add(new Event(new StringEventType("b")));
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155 | sequence.add(new Event(new StringEventType("r")));
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156 | sequence.add(new Event(new StringEventType("a")));
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157 | }
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158 |
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159 | public static void main(String[] args) {
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160 | new org.junit.runner.JUnitCore().run(ModelFlattenerTest.class);
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161 | }
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162 | }
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