1 | package de.ugoe.cs.quest.models;
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2 |
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3 | import java.util.ArrayList;
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4 | import java.util.Collection;
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5 | import java.util.List;
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6 |
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7 | import de.ugoe.cs.quest.data.Event;
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8 | import de.ugoe.cs.quest.models.HighOrderMarkovModel;
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9 |
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10 | import java.util.Random;
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11 | import org.junit.*;
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12 |
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13 | import static org.junit.Assert.*;
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14 |
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15 | /**
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16 | * The class <code>HighOrderMarkovModelTest</code> contains tests for the class
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17 | * <code>{@link HighOrderMarkovModel}</code>.
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18 | *
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19 | * @author Steffen Herbold
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20 | * @version 1.0
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21 | */
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22 | public class HighOrderMarkovModelTest {
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23 |
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24 | Collection<List<? extends Event<?>>> sequences;
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25 |
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26 | @Test
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27 | public void testHighOrderMarkovModel_1() throws Exception {
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28 | int maxOrder = 1;
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29 | Random r = new Random();
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30 |
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31 | HighOrderMarkovModel result = new HighOrderMarkovModel(maxOrder, r);
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32 |
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33 | assertNotNull(result);
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34 | assertEquals(r, result.r);
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35 | assertEquals(maxOrder + 1, result.trieOrder);
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36 | }
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37 |
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38 | @Test
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39 | public void testHighOrderMarkovModel_2() throws Exception {
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40 | int maxOrder = 0;
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41 | Random r = new Random();
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42 |
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43 | HighOrderMarkovModel result = new HighOrderMarkovModel(maxOrder, r);
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44 |
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45 | assertNotNull(result);
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46 | assertEquals(r, result.r);
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47 | assertEquals(maxOrder + 1, result.trieOrder);
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48 | }
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49 |
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50 | @Test(expected = java.security.InvalidParameterException.class)
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51 | public void testHighOrderMarkovModel_3() throws Exception {
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52 | int maxOrder = 1;
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53 | Random r = null;
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54 |
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55 | new HighOrderMarkovModel(maxOrder, r);
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56 | }
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57 |
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58 | @Test(expected = java.security.InvalidParameterException.class)
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59 | public void testHighOrderMarkovModel_4() throws Exception {
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60 | int maxOrder = -1;
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61 | Random r = new Random();
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62 |
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63 | new HighOrderMarkovModel(maxOrder, r);
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64 | }
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65 |
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66 | @Test
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67 | public void testGetProbability_1() throws Exception {
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68 | int markovOrder = 1;
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69 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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70 | new Random());
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71 | fixture.train(sequences);
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72 |
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73 | List<Event<String>> context = new ArrayList<Event<String>>();
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74 | context.add(new Event<String>("a"));
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75 |
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76 | Event<String> symbol = new Event<String>("b");
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77 |
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78 | double result = fixture.getProbability(context, symbol);
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79 |
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80 | assertEquals(2.0d / 5.0, result, 0.0001);
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81 | }
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82 |
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83 | @Test
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84 | public void testGetProbability_2() throws Exception {
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85 | int markovOrder = 1;
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86 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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87 | new Random());
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88 | fixture.train(sequences);
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89 |
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90 | List<Event<String>> context = new ArrayList<Event<String>>();
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91 | context.add(new Event<String>("a"));
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92 |
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93 | Event<String> symbol = new Event<String>("r");
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94 |
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95 | double result = fixture.getProbability(context, symbol);
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96 |
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97 | assertEquals(0.0d / 5.0, result, 0.0001);
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98 | }
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99 |
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100 | @Test
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101 | public void testGetProbability_3() throws Exception {
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102 | int markovOrder = 1;
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103 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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104 | new Random());
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105 | fixture.train(sequences);
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106 |
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107 | List<Event<String>> context = new ArrayList<Event<String>>();
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108 | context.add(new Event<String>("a"));
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109 |
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110 | Event<String> symbol = new Event<String>("c");
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111 |
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112 | double result = fixture.getProbability(context, symbol);
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113 |
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114 | assertEquals(1.0d / 5.0, result, 0.0001);
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115 | }
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116 |
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117 | @Test
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118 | public void testGetProbability_4() throws Exception {
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119 | int markovOrder = 1;
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120 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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121 | new Random());
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122 | fixture.train(sequences);
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123 |
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124 | List<Event<?>> context = new ArrayList<Event<?>>();
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125 | context.add(Event.STARTEVENT);
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126 | context.add(new Event<String>("a"));
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127 |
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128 | Event<String> symbol = new Event<String>("b");
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129 |
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130 | double result = fixture.getProbability(context, symbol);
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131 |
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132 | assertEquals(2.0d / 5.0, result, 0.0001);
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133 | }
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134 |
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135 | @Test
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136 | public void testGetProbability_5() throws Exception {
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137 | int markovOrder = 2;
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138 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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139 | new Random());
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140 | fixture.train(sequences);
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141 |
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142 | List<Event<?>> context = new ArrayList<Event<?>>();
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143 | context.add(Event.STARTEVENT);
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144 | context.add(new Event<String>("a"));
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145 |
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146 | Event<String> symbol = new Event<String>("b");
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147 |
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148 | double result = fixture.getProbability(context, symbol);
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149 |
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150 | assertEquals(1.0d, result, 0.0001);
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151 | }
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152 |
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153 | @Test
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154 | public void testGetProbability_6() throws Exception {
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155 | int markovOrder = 2;
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156 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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157 | new Random());
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158 | fixture.train(sequences);
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159 |
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160 | List<Event<?>> context = new ArrayList<Event<?>>();
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161 | context.add(Event.STARTEVENT);
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162 | context.add(new Event<String>("b"));
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163 |
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164 | Event<String> symbol = new Event<String>("b");
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165 |
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166 | double result = fixture.getProbability(context, symbol);
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167 |
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168 | assertEquals(0.0d, result, 0.0001);
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169 | }
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170 |
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171 | @Test
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172 | public void testGetProbability_7() throws Exception {
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173 | int markovOrder = 0;
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174 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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175 | new Random());
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176 | fixture.train(sequences);
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177 |
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178 | List<Event<?>> context = new ArrayList<Event<?>>();
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179 | context.add(Event.STARTEVENT);
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180 | context.add(new Event<String>("b"));
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181 |
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182 | Event<String> symbol = new Event<String>("a");
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183 |
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184 | double result = fixture.getProbability(context, symbol);
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185 |
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186 | assertEquals(5.0d / 13.0, result, 0.0001);
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187 | }
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188 |
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189 | @Test(expected = java.security.InvalidParameterException.class)
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190 | public void testGetProbability_8() throws Exception {
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191 | int markovOrder = 0;
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192 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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193 | new Random());
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194 | fixture.train(sequences);
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195 |
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196 | List<Event<?>> context = new ArrayList<Event<?>>();
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197 | context.add(Event.STARTEVENT);
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198 | context.add(new Event<String>("b"));
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199 |
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200 | Event<String> symbol = null;
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201 |
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202 | fixture.getProbability(context, symbol);
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203 | }
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204 |
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205 | @Test(expected = java.security.InvalidParameterException.class)
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206 | public void testGetProbability_9() throws Exception {
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207 | int markovOrder = 0;
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208 | HighOrderMarkovModel fixture = new HighOrderMarkovModel(markovOrder,
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209 | new Random());
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210 | fixture.train(sequences);
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211 |
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212 | List<Event<?>> context = null;
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213 |
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214 | Event<String> symbol = new Event<String>("b");
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215 |
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216 | fixture.getProbability(context, symbol);
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217 | }
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218 |
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219 | @Before
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220 | public void setUp() throws Exception {
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221 | List<Event<?>> sequence = new ArrayList<Event<?>>();
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222 | sequence.add(new Event<String>("a"));
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223 | sequence.add(new Event<String>("b"));
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224 | sequence.add(new Event<String>("r"));
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225 | sequence.add(new Event<String>("a"));
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226 | sequence.add(new Event<String>("c"));
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227 | sequence.add(new Event<String>("a"));
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228 | sequence.add(new Event<String>("d"));
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229 | sequence.add(new Event<String>("a"));
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230 | sequence.add(new Event<String>("b"));
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231 | sequence.add(new Event<String>("r"));
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232 | sequence.add(new Event<String>("a"));
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233 |
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234 | sequences = new ArrayList<List<? extends Event<?>>>();
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235 | sequences.add(sequence);
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236 | }
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237 |
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238 | public static void main(String[] args) {
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239 | new org.junit.runner.JUnitCore().run(HighOrderMarkovModelTest.class);
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240 | }
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241 | } |
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