[548] | 1 |
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[518] | 2 | package de.ugoe.cs.quest.usageprofiles;
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| 3 |
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| 4 | import java.util.ArrayList;
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| 5 | import java.util.Collection;
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| 6 | import java.util.HashSet;
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| 7 | import java.util.List;
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| 8 | import java.util.Random;
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| 9 | import org.junit.*;
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| 10 |
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| 11 | import de.ugoe.cs.quest.eventcore.Event;
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| 12 | import de.ugoe.cs.quest.usageprofiles.FirstOrderMarkovModel;
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| 13 | import de.ugoe.cs.quest.usageprofiles.HighOrderMarkovModel;
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| 14 | import de.ugoe.cs.quest.usageprofiles.ModelFlattener;
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| 15 | import de.ugoe.cs.quest.usageprofiles.PredictionByPartialMatch;
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| 16 | import de.ugoe.cs.quest.usageprofiles.TrieNode;
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[548] | 17 | import de.ugoe.cs.quest.usageprofiles.mock.StringEventType;
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[518] | 18 | import static org.junit.Assert.*;
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| 19 |
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| 20 | /**
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[548] | 21 | * The class <code>ModelFlattenerTest</code> contains tests for the class
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| 22 | * <code>{@link ModelFlattener}</code>.
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| 23 | *
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[518] | 24 | * @author Steffen Herbold
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| 25 | * @version 1.0
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| 26 | */
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| 27 | public class ModelFlattenerTest {
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| 28 |
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[548] | 29 | List<Event> sequence;
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[518] | 30 |
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[548] | 31 | private static void assertCollectionContent(Collection<?> c1, Collection<?> c2) {
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| 32 | assertEquals(c1.size(), c2.size());
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| 33 | for (Object obj : c1) {
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| 34 | assertTrue(c2.contains(obj));
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| 35 | }
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| 36 | }
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[518] | 37 |
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[548] | 38 | @Test
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| 39 | public void testFlattenHighOrderMarkovModel_1() throws Exception {
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| 40 | ModelFlattener fixture = new ModelFlattener();
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| 41 | HighOrderMarkovModel model = new HighOrderMarkovModel(2, new Random());
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| 42 | Collection<List<Event>> sequences = new ArrayList<List<Event>>();
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| 43 | sequences.add(sequence);
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| 44 | model.train(sequences);
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[518] | 45 |
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[548] | 46 | Collection<Event> expectedSymbols = new HashSet<Event>();
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| 47 | expectedSymbols.add(new Event(new StringEventType("a-=-END")));
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| 48 | expectedSymbols.add(new Event(new StringEventType("a-=-b")));
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| 49 | expectedSymbols.add(new Event(new StringEventType("a-=-c")));
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| 50 | expectedSymbols.add(new Event(new StringEventType("a-=-d")));
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| 51 | expectedSymbols.add(new Event(new StringEventType("b-=-r")));
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| 52 | expectedSymbols.add(new Event(new StringEventType("c-=-a")));
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| 53 | expectedSymbols.add(new Event(new StringEventType("d-=-a")));
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| 54 | expectedSymbols.add(new Event(new StringEventType("r-=-a")));
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| 55 | expectedSymbols.add(new Event(new StringEventType("START-=-a")));
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[518] | 56 |
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[548] | 57 | FirstOrderMarkovModel result = fixture.flattenHighOrderMarkovModel(model);
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| 58 |
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| 59 | assertCollectionContent(expectedSymbols, result.getEvents());
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| 60 |
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| 61 | TrieNode<Event> root = result.trie.find(null);
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| 62 | TrieNode<Event> root_aEnd = root.getChild(new Event(new StringEventType("a-=-END")));
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| 63 | TrieNode<Event> root_ab = root.getChild(new Event(new StringEventType("a-=-b")));
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| 64 | TrieNode<Event> root_ab_br = root_ab.getChild(new Event(new StringEventType("b-=-r")));
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| 65 | TrieNode<Event> root_ac = root.getChild(new Event(new StringEventType("a-=-c")));
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| 66 | TrieNode<Event> root_ac_ca = root_ac.getChild(new Event(new StringEventType("c-=-a")));
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| 67 | TrieNode<Event> root_ad = root.getChild(new Event(new StringEventType("a-=-d")));
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| 68 | TrieNode<Event> root_ad_da = root_ad.getChild(new Event(new StringEventType("d-=-a")));
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| 69 | TrieNode<Event> root_br = root.getChild(new Event(new StringEventType("b-=-r")));
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| 70 | TrieNode<Event> root_br_ra = root_br.getChild(new Event(new StringEventType("r-=-a")));
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| 71 | TrieNode<Event> root_ca = root.getChild(new Event(new StringEventType("c-=-a")));
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| 72 | TrieNode<Event> root_ca_ad = root_ca.getChild(new Event(new StringEventType("a-=-d")));
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| 73 | TrieNode<Event> root_da = root.getChild(new Event(new StringEventType("d-=-a")));
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| 74 | TrieNode<Event> root_da_ab = root_da.getChild(new Event(new StringEventType("a-=-b")));
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| 75 | TrieNode<Event> root_ra = root.getChild(new Event(new StringEventType("r-=-a")));
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| 76 | TrieNode<Event> root_ra_ac = root_ra.getChild(new Event(new StringEventType("a-=-c")));
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| 77 | TrieNode<Event> root_ra_aEnd = root_ra.getChild(new Event(new StringEventType("a-=-END")));
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| 78 | TrieNode<Event> root_startA = root.getChild(new Event(new StringEventType("START-=-a")));
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| 79 | TrieNode<Event> root_startA_ab =
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| 80 | root_startA.getChild(new Event(new StringEventType("a-=-b")));
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| 81 |
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| 82 | assertEquals(1, root_aEnd.getCount());
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| 83 | assertTrue(root_aEnd.isLeaf());
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| 84 | assertEquals(2, root_ab.getCount());
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| 85 | assertEquals(1, root_ab.getChildren().size());
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| 86 | assertEquals(2, root_ab_br.getCount());
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| 87 | assertTrue(root_ab_br.isLeaf());
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| 88 | assertEquals(1, root_ac.getCount());
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| 89 | assertEquals(1, root_ac.getChildren().size());
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| 90 | assertEquals(1, root_ac_ca.getCount());
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| 91 | assertTrue(root_ac_ca.isLeaf());
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| 92 | assertEquals(1, root_ad.getCount());
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| 93 | assertEquals(1, root_ad.getChildren().size());
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| 94 | assertEquals(1, root_ad_da.getCount());
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| 95 | assertTrue(root_ad_da.isLeaf());
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| 96 | assertEquals(2, root_br.getCount());
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| 97 | assertEquals(1, root_br.getChildren().size());
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| 98 | assertEquals(2, root_br_ra.getCount());
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| 99 | assertTrue(root_br_ra.isLeaf());
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| 100 | assertEquals(1, root_ca.getCount());
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| 101 | assertEquals(1, root_ca.getChildren().size());
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| 102 | assertEquals(1, root_ca_ad.getCount());
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| 103 | assertTrue(root_ca_ad.isLeaf());
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| 104 | assertEquals(1, root_da.getCount());
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| 105 | assertEquals(1, root_da.getChildren().size());
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| 106 | assertEquals(1, root_da_ab.getCount());
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| 107 | assertTrue(root_da_ab.isLeaf());
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| 108 | assertEquals(2, root_ra.getCount());
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| 109 | assertEquals(2, root_ra.getChildren().size());
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| 110 | assertEquals(1, root_ra_ac.getCount());
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| 111 | assertTrue(root_ra_ac.isLeaf());
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| 112 | assertEquals(1, root_ra_aEnd.getCount());
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| 113 | assertTrue(root_ra_aEnd.isLeaf());
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| 114 | assertEquals(1, root_startA.getCount());
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| 115 | assertEquals(1, root_startA.getChildren().size());
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| 116 | assertEquals(1, root_startA_ab.getCount());
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| 117 | assertTrue(root_startA_ab.isLeaf());
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| 118 | }
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| 119 |
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| 120 | @Test
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| 121 | public void testFlattenPredictionByPartialMatch_1() throws Exception {
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| 122 | ModelFlattener fixture = new ModelFlattener();
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| 123 | PredictionByPartialMatch model = new PredictionByPartialMatch(1, new Random());
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| 124 |
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| 125 | FirstOrderMarkovModel result = fixture.flattenPredictionByPartialMatch(model);
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| 126 |
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| 127 | assertEquals(null, result);
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| 128 | }
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| 129 |
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| 130 | @Before
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| 131 | public void setUp() throws Exception {
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| 132 | sequence = new ArrayList<Event>();
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| 133 | sequence.add(new Event(new StringEventType("a")));
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| 134 | sequence.add(new Event(new StringEventType("b")));
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| 135 | sequence.add(new Event(new StringEventType("r")));
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| 136 | sequence.add(new Event(new StringEventType("a")));
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| 137 | sequence.add(new Event(new StringEventType("c")));
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| 138 | sequence.add(new Event(new StringEventType("a")));
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| 139 | sequence.add(new Event(new StringEventType("d")));
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| 140 | sequence.add(new Event(new StringEventType("a")));
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| 141 | sequence.add(new Event(new StringEventType("b")));
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| 142 | sequence.add(new Event(new StringEventType("r")));
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| 143 | sequence.add(new Event(new StringEventType("a")));
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| 144 | }
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| 145 |
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| 146 | public static void main(String[] args) {
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| 147 | new org.junit.runner.JUnitCore().run(ModelFlattenerTest.class);
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| 148 | }
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| 149 | }
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