Added some optimizations and new taxonomy names
This commit is contained in:
+87
-87
@@ -1,87 +1,87 @@
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import java.util.ArrayList;
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import java.util.List;
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import data.Sentence;
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import data.Word;
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public class Common {
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public static List<Sentence> corpus;
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public static List<Sentence> minCorpus;
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public static List<Sentence> midCorpus;
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public static List<Sentence> midCorpusSkip;
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public static List<Sentence> josTest;
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static {
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Sentence testSentence;
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// full sentence
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ArrayList<String> taxonomy = new ArrayList<>();
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taxonomy.add("#Ft.Z.N.N");
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List<Word> words = new ArrayList<>();
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words.add(new Word("ker", "ker", "Vd"));
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words.add(new Word("ima", "imeti", "Ggnste-n"));
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words.add(new Word("junak", "junak", "Somei"));
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words.add(new Word("v", "v", "Dm"));
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words.add(new Word("posesti", "posest", "Sozem"));
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words.add(new Word("nekaj", "nekaj", "Rsn"));
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words.add(new Word("o", "o", "Dm"));
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words.add(new Word("čemer", "kar", "Zz-sem"));
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words.add(new Word("se", "se", "Zp------k"));
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words.add(new Word("mu", "on", "Zotmed--k"));
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words.add(new Word("ne", "ne", "L"));
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words.add(new Word("sanja", "sanjati", "Ggnste"));
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words.add(new Word("a", "a", "Vp"));
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words.add(new Word("se", "se", "Zp------k"));
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words.add(new Word("onemu", "oni", "Zk-sed"));
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words.add(new Word("zdi", "zdeti", "Ggnste"));
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words.add(new Word("ključno", "ključen", "Ppnsei"));
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words.add(new Word("pri", "pri", "Dm"));
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words.add(new Word("operaciji", "operacija", "Sozem"));
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words.add(new Word("666", "666", "Kag"));
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testSentence = new Sentence(words, taxonomy);
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corpus = new ArrayList<>();
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corpus.add(testSentence);
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// three word sentence
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testSentence = new Sentence(corpus.get(0).getSublist(0, 3), taxonomy);
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minCorpus = new ArrayList<>();
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minCorpus.add(testSentence);
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// five word sentence
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words = new ArrayList<>();
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words.add(new Word("ker", "ker", "Vd"));
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words.add(new Word("ima", "imeti", "Ggnste-n"));
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words.add(new Word("junak", "junak", "Somei"));
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words.add(new Word("ima", "imeti", "Ggnste-n"));
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words.add(new Word("posesti", "posest", "Sozem"));
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testSentence = new Sentence(words, taxonomy);
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midCorpus = new ArrayList<>();
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midCorpus.add(testSentence);
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// five word sentence - for skipgrams
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words = new ArrayList<>();
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words.add(new Word("ker", "ker", "Vd"));
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words.add(new Word("ima", "imeti", "Ggnste-n"));
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words.add(new Word("junak", "junak", "Somei"));
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words.add(new Word("v", "v", "Dm"));
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words.add(new Word("posesti", "posest", "Sozem"));
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testSentence = new Sentence(words, taxonomy);
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midCorpusSkip = new ArrayList<>();
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midCorpusSkip.add(testSentence);
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// JOS test
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words = new ArrayList<>();
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words.add(new Word("junak", "junak", "Somei"));
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words.add(new Word("ima", "imeti", "Ggnste-n"));
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words.add(new Word("posesti", "posest", "Sozem"));
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testSentence = new Sentence(words, taxonomy);
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josTest = new ArrayList<>();
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josTest.add(testSentence);
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}
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}
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//import java.util.ArrayList;
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//import java.util.List;
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//
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//import data.Sentence;
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//import data.Word;
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//
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//public class Common {
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//
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// public static List<Sentence> corpus;
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// public static List<Sentence> minCorpus;
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// public static List<Sentence> midCorpus;
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// public static List<Sentence> midCorpusSkip;
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// public static List<Sentence> josTest;
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//
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// static {
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// Sentence testSentence;
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//
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// // full sentence
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// ArrayList<String> taxonomy = new ArrayList<>();
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// taxonomy.add("#Ft.Z.N.N");
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// List<Word> words = new ArrayList<>();
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// words.add(new Word("ker", "ker", "Vd"));
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// words.add(new Word("ima", "imeti", "Ggnste-n"));
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// words.add(new Word("junak", "junak", "Somei"));
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// words.add(new Word("v", "v", "Dm"));
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// words.add(new Word("posesti", "posest", "Sozem"));
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// words.add(new Word("nekaj", "nekaj", "Rsn"));
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// words.add(new Word("o", "o", "Dm"));
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// words.add(new Word("čemer", "kar", "Zz-sem"));
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// words.add(new Word("se", "se", "Zp------k"));
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// words.add(new Word("mu", "on", "Zotmed--k"));
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// words.add(new Word("ne", "ne", "L"));
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// words.add(new Word("sanja", "sanjati", "Ggnste"));
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// words.add(new Word("a", "a", "Vp"));
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// words.add(new Word("se", "se", "Zp------k"));
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// words.add(new Word("onemu", "oni", "Zk-sed"));
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// words.add(new Word("zdi", "zdeti", "Ggnste"));
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// words.add(new Word("ključno", "ključen", "Ppnsei"));
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// words.add(new Word("pri", "pri", "Dm"));
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// words.add(new Word("operaciji", "operacija", "Sozem"));
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// words.add(new Word("666", "666", "Kag"));
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//
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// testSentence = new Sentence(words, taxonomy);
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// corpus = new ArrayList<>();
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// corpus.add(testSentence);
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//
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// // three word sentence
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// testSentence = new Sentence(corpus.get(0).getSublist(0, 3), taxonomy);
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// minCorpus = new ArrayList<>();
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// minCorpus.add(testSentence);
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//
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// // five word sentence
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// words = new ArrayList<>();
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// words.add(new Word("ker", "ker", "Vd"));
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// words.add(new Word("ima", "imeti", "Ggnste-n"));
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// words.add(new Word("junak", "junak", "Somei"));
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// words.add(new Word("ima", "imeti", "Ggnste-n"));
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// words.add(new Word("posesti", "posest", "Sozem"));
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// testSentence = new Sentence(words, taxonomy);
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//
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// midCorpus = new ArrayList<>();
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// midCorpus.add(testSentence);
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//
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// // five word sentence - for skipgrams
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// words = new ArrayList<>();
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// words.add(new Word("ker", "ker", "Vd"));
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// words.add(new Word("ima", "imeti", "Ggnste-n"));
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// words.add(new Word("junak", "junak", "Somei"));
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// words.add(new Word("v", "v", "Dm"));
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// words.add(new Word("posesti", "posest", "Sozem"));
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// testSentence = new Sentence(words, taxonomy);
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//
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// midCorpusSkip = new ArrayList<>();
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// midCorpusSkip.add(testSentence);
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//
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// // JOS test
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// words = new ArrayList<>();
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// words.add(new Word("junak", "junak", "Somei"));
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// words.add(new Word("ima", "imeti", "Ggnste-n"));
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// words.add(new Word("posesti", "posest", "Sozem"));
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// testSentence = new Sentence(words, taxonomy);
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//
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// josTest = new ArrayList<>();
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// josTest.add(testSentence);
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// }
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//
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//}
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+362
-362
@@ -1,362 +1,362 @@
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import static org.junit.Assert.*;
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import java.util.*;
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import java.util.concurrent.atomic.AtomicLong;
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import java.util.regex.Pattern;
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import java.util.stream.Collectors;
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import javafx.collections.FXCollections;
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import org.junit.Test;
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import alg.ngram.Ngrams;
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import data.*;
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@SuppressWarnings({"Duplicates", "unused"})
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public class NgramTests {
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@Test
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public void letterNgramsTest() {
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Map<String, AtomicLong> result = null;
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Filter filter = new Filter();
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filter.setAl(AnalysisLevel.STRING_LEVEL);
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filter.setStringLength(4);
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filter.setNgramValue(0); // letters
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filter.setCalculateFor(CalculateFor.WORD);
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ArrayList<String> tax= new ArrayList<>();
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tax.add("SSJ.T.P.C");
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filter.setTaxonomy(tax);
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Corpus testCorpus = new Corpus();
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testCorpus.setCorpusType(CorpusType.GIGAFIDA);
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testCorpus.setDetectedCorpusFiles(new ArrayList<>());
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ArrayList<String> taxForCombo = new ArrayList<>();
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taxForCombo.add("SSJ.T.P.C");
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testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
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// tests:
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// - no regex
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StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.minCorpus, stats);
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result = stats.getResult();
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// tests:
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// - algorithm skips words that are shorter than set length value
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assertEquals(2, result.size());
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assertTrue(result.containsKey("juna"));
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assertEquals(1, result.get("juna").longValue());
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assertTrue(result.containsKey("unak"));
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assertEquals(1, result.get("unak").longValue());
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// tests:
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// - map update (count) works ok
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filter.setStringLength(3);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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result = stats.getResult();
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assertEquals(2, result.get("ima").longValue());
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// tests:
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// - pre-check for the following regex test - this one should include word "ima", next one shouldn't
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filter.setStringLength(3);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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result = stats.getResult();
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assertTrue(result.containsKey("ima"));
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// tests:
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// - regex: S.* // vsi samostalniki
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ArrayList<Pattern> msdRegex = new ArrayList<>();
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msdRegex.add(Pattern.compile("S.*"));
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filter.setMsd(msdRegex);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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result = stats.getResult();
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assertFalse(result.containsKey("ima"));
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// tests:
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// - more precise regex
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msdRegex = new ArrayList<>();
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msdRegex.add(Pattern.compile("S.z.*")); // should include "posesti", but not "junak"
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filter.setMsd(msdRegex);
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filter.setStringLength(5);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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result = stats.getResult();
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assertFalse(result.containsKey("junak"));
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assertEquals(3, result.size());
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// tests:
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// - trickier regex
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msdRegex = new ArrayList<>();
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msdRegex.add(Pattern.compile(".{2}")); // should count only for msd="Vd" - "ker"
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filter.setMsd(msdRegex);
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filter.setStringLength(3);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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result = stats.getResult();
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assertEquals(1, result.size());
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assertTrue(result.containsKey("ker"));
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assertEquals(1, result.get("ker").longValue());
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}
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@Test
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public void wordsNgramsTest() {
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Map<String, Map<MultipleHMKeys, AtomicLong>> taxonomyResult;
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Filter filter = new Filter();
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filter.setAl(AnalysisLevel.STRING_LEVEL);
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filter.setNgramValue(3);
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ArrayList<String> tax= new ArrayList<>();
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tax.add("SSJ.T.P.C");
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filter.setTaxonomy(tax);
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ArrayList<String> mKeys = new ArrayList<>();
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//mKeys.add("lema");
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filter.setMultipleKeys(mKeys);
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Corpus testCorpus = new Corpus();
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testCorpus.setCorpusType(CorpusType.GIGAFIDA);
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testCorpus.setDetectedCorpusFiles(new ArrayList<>());
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ArrayList<String> taxForCombo = new ArrayList<>();
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taxForCombo.add("SSJ.T.P.C");
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testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
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// tests:
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// - normal ngrams - word
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// midCorpus contains 5 words which should make for 3 3-grams
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filter.setCalculateFor(CalculateFor.WORD);
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StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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taxonomyResult = stats.getTaxonomyResult();
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assertEquals(3, taxonomyResult.get("Total").size());
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ker ima junak")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ima junak ima")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak ima posesti")));
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// tests:
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// - normal ngrams - lemmas
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filter.setCalculateFor(CalculateFor.LEMMA);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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taxonomyResult = stats.getTaxonomyResult();
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assertEquals(3, taxonomyResult.get("Total").size());
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ker imeti junak")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("imeti junak imeti")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak imeti posest")));
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// tests:
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// - normal ngrams - msd
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filter.setCalculateFor(CalculateFor.MORPHOSYNTACTIC_PROPERTY);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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taxonomyResult = stats.getTaxonomyResult();
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assertEquals(3, taxonomyResult.get("Total").size());
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Vd Ggnste-n Somei")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Ggnste-n Somei Ggnste-n")));
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Somei Ggnste-n Sozem")));
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// tests:
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// - ngrams - word - regex filter
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filter.setCalculateFor(CalculateFor.WORD);
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ArrayList<Pattern> msdRegex = new ArrayList<>();
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msdRegex.add(Pattern.compile("S.*"));
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msdRegex.add(Pattern.compile("G.*"));
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msdRegex.add(Pattern.compile(".*"));
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filter.setMsd(msdRegex);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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taxonomyResult = stats.getTaxonomyResult();
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assertEquals(1, taxonomyResult.get("Total").size());
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak ima posesti")));
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// tests:
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// - ngrams - word - regex filter
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filter.setCalculateFor(CalculateFor.WORD);
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filter.setNgramValue(2);
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msdRegex = new ArrayList<>();
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msdRegex.add(Pattern.compile("G.*"));
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msdRegex.add(Pattern.compile("Some.*"));
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filter.setMsd(msdRegex);
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stats = new StatisticsNew(testCorpus, filter, false);
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Ngrams.calculateForAll(Common.midCorpus, stats);
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taxonomyResult = stats.getTaxonomyResult();
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assertEquals(1, taxonomyResult.get("Total").size());
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assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ima junak")));
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}
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// @Test
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// public void ngramsTest() {
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// // minimal compliance test
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// Statistics stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_SPECS);
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//
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// Map<String, AtomicLong> results = recalculate(minCorpus, stats);
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//
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// // 1-gram minCorpusa should equal minCorpus' size
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// assertEquals(minCorpus.get(0).getWords().size(), results.size());
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//
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// // each resulting word should have a frequency of 1
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// List<Word> words = minCorpus.get(0).getWords();
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// for (int i = 0; i < results.size(); i++) {
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// Word w = words.get(i);
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// AtomicLong frequency = results.get(w.getMsd());
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// assertEquals(1, frequency.intValue());
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// }
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//
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// // repeat for 2grams
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// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_SPECS);
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// results = recalculate(minCorpus, stats);
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//
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// // 2-gram of a 3 item corpus should equal 2 (first two words and second two words)
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// assertEquals(2, results.size());
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//
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// // add a filter
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// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
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//
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// List<String> morphosyntacticFilter = new ArrayList<>();
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// morphosyntacticFilter.add("Sozem");
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// stats.setMorphosyntacticFilter(morphosyntacticFilter);
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//
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// results = recalculate(minCorpus, stats);
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//
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// // since min corpus doesn't contain Sozem, results should be empty
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// assertEquals(0, results.size());
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//
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// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
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// morphosyntacticFilter = new ArrayList<>();
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// morphosyntacticFilter.add("Somei");
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// stats.setMorphosyntacticFilter(morphosyntacticFilter);
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// results = recalculate(minCorpus, stats);
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//
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// // since we have 1 Somei, 1 result
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// assertEquals(1, results.size());
|
||||
// assertEquals(1, results.get("Somei").intValue());
|
||||
//
|
||||
// // actual filter with wildcards
|
||||
// // 1gram
|
||||
// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// morphosyntacticFilter = new ArrayList<>();
|
||||
// morphosyntacticFilter.add("So***");
|
||||
// stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// results = recalculate(minCorpus, stats);
|
||||
//
|
||||
// assertEquals(1, results.size());
|
||||
// assertEquals(1, results.get("Somei").intValue());
|
||||
//
|
||||
// // 2gram
|
||||
// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// morphosyntacticFilter = new ArrayList<>();
|
||||
// morphosyntacticFilter.add("Ggns*e-n");
|
||||
// morphosyntacticFilter.add("So***");
|
||||
// stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// results = recalculate(minCorpus, stats);
|
||||
//
|
||||
// assertEquals(1, results.size());
|
||||
// assertEquals(1, results.get("Ggnste-n Somei").intValue());
|
||||
//
|
||||
// // 2gram midCorpus
|
||||
// stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// morphosyntacticFilter = new ArrayList<>();
|
||||
// morphosyntacticFilter.add("Ggns*e-n");
|
||||
// morphosyntacticFilter.add("So***");
|
||||
// stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// results = recalculate(midCorpus, stats);
|
||||
//
|
||||
// assertEquals(2, results.size());
|
||||
// assertEquals(1, results.get("Ggnste-n Somei").intValue());
|
||||
// assertEquals(1, results.get("Ggnste-n Sozem").intValue());
|
||||
// }
|
||||
|
||||
private Map<String, AtomicLong> recalculate(List<Sentence> corpus, Statistics stats) {
|
||||
// calculateForAll(corpus, stats);
|
||||
return stats.getResult();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void skipgramsTest() {
|
||||
Map<String, Map<MultipleHMKeys, AtomicLong>> taxonomyResult;
|
||||
|
||||
Filter filter = new Filter();
|
||||
filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
filter.setCalculateFor(CalculateFor.WORD);
|
||||
ArrayList<String> tax= new ArrayList<>();
|
||||
tax.add("SSJ.T.P.C");
|
||||
filter.setTaxonomy(tax);
|
||||
|
||||
Corpus testCorpus = new Corpus();
|
||||
testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
taxForCombo.add("tisk-periodično-časopis");
|
||||
testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
|
||||
// tests:
|
||||
// - bigrams
|
||||
filter.setNgramValue(2);
|
||||
StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
taxonomyResult = stats.getTaxonomyResult();
|
||||
|
||||
Set<String> bigrams = new HashSet<>(Arrays.asList("ker ima", "ima junak", "junak v", "v posesti"));
|
||||
Set<MultipleHMKeys> bigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
Set<String> bigramsActual = new HashSet<>(bigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
assertEquals(bigrams, bigramsActual);
|
||||
|
||||
// test:
|
||||
// - two skip bigrams
|
||||
filter.setNgramValue(2);
|
||||
filter.setSkipValue(2);
|
||||
stats = new StatisticsNew(testCorpus, filter, false);
|
||||
Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
taxonomyResult = stats.getTaxonomyResult();
|
||||
|
||||
Set<String> twoSkipBigrams = new HashSet<>(Arrays.asList("ker ima", "ker junak", "ker v", "ima junak", "ima v", "ima posesti", "junak v", "junak posesti", "v posesti"));
|
||||
Set<MultipleHMKeys> twoSkipBigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
Set<String> twoSkipBigramsActual = new HashSet<>(twoSkipBigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
|
||||
assertEquals(twoSkipBigrams, twoSkipBigramsActual);
|
||||
|
||||
// tests:
|
||||
// - trigrams
|
||||
filter.setNgramValue(3);
|
||||
filter.setSkipValue(null);
|
||||
stats = new StatisticsNew(testCorpus, filter, false);
|
||||
Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
taxonomyResult = stats.getTaxonomyResult();
|
||||
Set<String> trigrams = new HashSet<>(Arrays.asList("ker ima junak", "ima junak v", "junak v posesti"));
|
||||
Set<MultipleHMKeys> trigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
Set<String> trigramsActual = new HashSet<>(trigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
|
||||
assertEquals(trigrams, trigramsActual);
|
||||
|
||||
// tests:
|
||||
// - two skip trigrams
|
||||
filter.setNgramValue(3);
|
||||
filter.setSkipValue(2);
|
||||
stats = new StatisticsNew(testCorpus, filter, false);
|
||||
Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
taxonomyResult = stats.getTaxonomyResult();
|
||||
HashSet<String> twoSkipTrigrams = new HashSet<>(Arrays.asList("ker ima junak", "ker ima v", "ker ima posesti", "ker junak v", "ker junak posesti", "ker v posesti", "ima junak v", "ima junak posesti", "ima v posesti", "junak v posesti"));
|
||||
Set<MultipleHMKeys> twoSkipTrigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
Set<String> twoSkipTrigramsActual = new HashSet<>(twoSkipTrigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
|
||||
assertEquals(twoSkipTrigrams, twoSkipTrigramsActual);
|
||||
}
|
||||
}
|
||||
//import static org.junit.Assert.*;
|
||||
//
|
||||
//import java.util.*;
|
||||
//import java.util.concurrent.atomic.AtomicLong;
|
||||
//import java.util.regex.Pattern;
|
||||
//import java.util.stream.Collectors;
|
||||
//
|
||||
//import javafx.collections.FXCollections;
|
||||
//import org.junit.Test;
|
||||
//
|
||||
//import alg.ngram.Ngrams;
|
||||
//import data.*;
|
||||
//
|
||||
//@SuppressWarnings({"Duplicates", "unused"})
|
||||
//public class NgramTests {
|
||||
//
|
||||
// @Test
|
||||
// public void letterNgramsTest() {
|
||||
// Map<String, AtomicLong> result = null;
|
||||
//
|
||||
// Filter filter = new Filter();
|
||||
// filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
// filter.setStringLength(4);
|
||||
// filter.setNgramValue(0); // letters
|
||||
// filter.setCalculateFor(CalculateFor.WORD);
|
||||
// ArrayList<String> tax= new ArrayList<>();
|
||||
// tax.add("SSJ.T.P.C");
|
||||
// filter.setTaxonomy(tax);
|
||||
//
|
||||
//
|
||||
// Corpus testCorpus = new Corpus();
|
||||
// testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
// testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
// ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
// taxForCombo.add("SSJ.T.P.C");
|
||||
// testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
//
|
||||
// // tests:
|
||||
// // - no regex
|
||||
// StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.minCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// // tests:
|
||||
// // - algorithm skips words that are shorter than set length value
|
||||
// assertEquals(2, result.size());
|
||||
// assertTrue(result.containsKey("juna"));
|
||||
// assertEquals(1, result.get("juna").longValue());
|
||||
// assertTrue(result.containsKey("unak"));
|
||||
// assertEquals(1, result.get("unak").longValue());
|
||||
//
|
||||
// // tests:
|
||||
// // - map update (count) works ok
|
||||
// filter.setStringLength(3);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// assertEquals(2, result.get("ima").longValue());
|
||||
//
|
||||
// // tests:
|
||||
// // - pre-check for the following regex test - this one should include word "ima", next one shouldn't
|
||||
// filter.setStringLength(3);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// assertTrue(result.containsKey("ima"));
|
||||
//
|
||||
// // tests:
|
||||
// // - regex: S.* // vsi samostalniki
|
||||
// ArrayList<Pattern> msdRegex = new ArrayList<>();
|
||||
// msdRegex.add(Pattern.compile("S.*"));
|
||||
// filter.setMsd(msdRegex);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// assertFalse(result.containsKey("ima"));
|
||||
//
|
||||
// // tests:
|
||||
// // - more precise regex
|
||||
// msdRegex = new ArrayList<>();
|
||||
// msdRegex.add(Pattern.compile("S.z.*")); // should include "posesti", but not "junak"
|
||||
// filter.setMsd(msdRegex);
|
||||
// filter.setStringLength(5);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// assertFalse(result.containsKey("junak"));
|
||||
// assertEquals(3, result.size());
|
||||
//
|
||||
// // tests:
|
||||
// // - trickier regex
|
||||
// msdRegex = new ArrayList<>();
|
||||
// msdRegex.add(Pattern.compile(".{2}")); // should count only for msd="Vd" - "ker"
|
||||
// filter.setMsd(msdRegex);
|
||||
// filter.setStringLength(3);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// result = stats.getResult();
|
||||
//
|
||||
// assertEquals(1, result.size());
|
||||
// assertTrue(result.containsKey("ker"));
|
||||
// assertEquals(1, result.get("ker").longValue());
|
||||
// }
|
||||
//
|
||||
// @Test
|
||||
// public void wordsNgramsTest() {
|
||||
// Map<String, Map<MultipleHMKeys, AtomicLong>> taxonomyResult;
|
||||
//
|
||||
// Filter filter = new Filter();
|
||||
// filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
// filter.setNgramValue(3);
|
||||
// ArrayList<String> tax= new ArrayList<>();
|
||||
// tax.add("SSJ.T.P.C");
|
||||
// filter.setTaxonomy(tax);
|
||||
// ArrayList<String> mKeys = new ArrayList<>();
|
||||
// //mKeys.add("lema");
|
||||
// filter.setMultipleKeys(mKeys);
|
||||
//
|
||||
// Corpus testCorpus = new Corpus();
|
||||
// testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
// testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
// ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
// taxForCombo.add("SSJ.T.P.C");
|
||||
// testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
//
|
||||
// // tests:
|
||||
// // - normal ngrams - word
|
||||
// // midCorpus contains 5 words which should make for 3 3-grams
|
||||
// filter.setCalculateFor(CalculateFor.WORD);
|
||||
// StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// assertEquals(3, taxonomyResult.get("Total").size());
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ker ima junak")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ima junak ima")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak ima posesti")));
|
||||
//
|
||||
// // tests:
|
||||
// // - normal ngrams - lemmas
|
||||
// filter.setCalculateFor(CalculateFor.LEMMA);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// assertEquals(3, taxonomyResult.get("Total").size());
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ker imeti junak")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("imeti junak imeti")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak imeti posest")));
|
||||
//
|
||||
// // tests:
|
||||
// // - normal ngrams - msd
|
||||
// filter.setCalculateFor(CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// assertEquals(3, taxonomyResult.get("Total").size());
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Vd Ggnste-n Somei")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Ggnste-n Somei Ggnste-n")));
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("Somei Ggnste-n Sozem")));
|
||||
//
|
||||
// // tests:
|
||||
// // - ngrams - word - regex filter
|
||||
// filter.setCalculateFor(CalculateFor.WORD);
|
||||
// ArrayList<Pattern> msdRegex = new ArrayList<>();
|
||||
// msdRegex.add(Pattern.compile("S.*"));
|
||||
// msdRegex.add(Pattern.compile("G.*"));
|
||||
// msdRegex.add(Pattern.compile(".*"));
|
||||
// filter.setMsd(msdRegex);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// assertEquals(1, taxonomyResult.get("Total").size());
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("junak ima posesti")));
|
||||
//
|
||||
// // tests:
|
||||
// // - ngrams - word - regex filter
|
||||
// filter.setCalculateFor(CalculateFor.WORD);
|
||||
// filter.setNgramValue(2);
|
||||
// msdRegex = new ArrayList<>();
|
||||
// msdRegex.add(Pattern.compile("G.*"));
|
||||
// msdRegex.add(Pattern.compile("Some.*"));
|
||||
// filter.setMsd(msdRegex);
|
||||
//
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpus, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// assertEquals(1, taxonomyResult.get("Total").size());
|
||||
// assertTrue(taxonomyResult.get("Total").containsKey(new MultipleHMKeys1("ima junak")));
|
||||
// }
|
||||
//
|
||||
//
|
||||
// // @Test
|
||||
// // public void ngramsTest() {
|
||||
// // // minimal compliance test
|
||||
// // Statistics stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_SPECS);
|
||||
// //
|
||||
// // Map<String, AtomicLong> results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // // 1-gram minCorpusa should equal minCorpus' size
|
||||
// // assertEquals(minCorpus.get(0).getWords().size(), results.size());
|
||||
// //
|
||||
// // // each resulting word should have a frequency of 1
|
||||
// // List<Word> words = minCorpus.get(0).getWords();
|
||||
// // for (int i = 0; i < results.size(); i++) {
|
||||
// // Word w = words.get(i);
|
||||
// // AtomicLong frequency = results.get(w.getMsd());
|
||||
// // assertEquals(1, frequency.intValue());
|
||||
// // }
|
||||
// //
|
||||
// // // repeat for 2grams
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_SPECS);
|
||||
// // results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // // 2-gram of a 3 item corpus should equal 2 (first two words and second two words)
|
||||
// // assertEquals(2, results.size());
|
||||
// //
|
||||
// // // add a filter
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// //
|
||||
// // List<String> morphosyntacticFilter = new ArrayList<>();
|
||||
// // morphosyntacticFilter.add("Sozem");
|
||||
// // stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// //
|
||||
// // results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // // since min corpus doesn't contain Sozem, results should be empty
|
||||
// // assertEquals(0, results.size());
|
||||
// //
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// // morphosyntacticFilter = new ArrayList<>();
|
||||
// // morphosyntacticFilter.add("Somei");
|
||||
// // stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// // results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // // since we have 1 Somei, 1 result
|
||||
// // assertEquals(1, results.size());
|
||||
// // assertEquals(1, results.get("Somei").intValue());
|
||||
// //
|
||||
// // // actual filter with wildcards
|
||||
// // // 1gram
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 1, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// // morphosyntacticFilter = new ArrayList<>();
|
||||
// // morphosyntacticFilter.add("So***");
|
||||
// // stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// // results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // assertEquals(1, results.size());
|
||||
// // assertEquals(1, results.get("Somei").intValue());
|
||||
// //
|
||||
// // // 2gram
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// // morphosyntacticFilter = new ArrayList<>();
|
||||
// // morphosyntacticFilter.add("Ggns*e-n");
|
||||
// // morphosyntacticFilter.add("So***");
|
||||
// // stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// // results = recalculate(minCorpus, stats);
|
||||
// //
|
||||
// // assertEquals(1, results.size());
|
||||
// // assertEquals(1, results.get("Ggnste-n Somei").intValue());
|
||||
// //
|
||||
// // // 2gram midCorpus
|
||||
// // stats = new Statistics(AnalysisLevel.STRING_LEVEL, 2, null, CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// // morphosyntacticFilter = new ArrayList<>();
|
||||
// // morphosyntacticFilter.add("Ggns*e-n");
|
||||
// // morphosyntacticFilter.add("So***");
|
||||
// // stats.setMorphosyntacticFilter(morphosyntacticFilter);
|
||||
// // results = recalculate(midCorpus, stats);
|
||||
// //
|
||||
// // assertEquals(2, results.size());
|
||||
// // assertEquals(1, results.get("Ggnste-n Somei").intValue());
|
||||
// // assertEquals(1, results.get("Ggnste-n Sozem").intValue());
|
||||
// // }
|
||||
//
|
||||
// private Map<String, AtomicLong> recalculate(List<Sentence> corpus, Statistics stats) {
|
||||
// // calculateForAll(corpus, stats);
|
||||
// return stats.getResult();
|
||||
// }
|
||||
//
|
||||
// @Test
|
||||
// public void skipgramsTest() {
|
||||
// Map<String, Map<MultipleHMKeys, AtomicLong>> taxonomyResult;
|
||||
//
|
||||
// Filter filter = new Filter();
|
||||
// filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
// filter.setCalculateFor(CalculateFor.WORD);
|
||||
// ArrayList<String> tax= new ArrayList<>();
|
||||
// tax.add("SSJ.T.P.C");
|
||||
// filter.setTaxonomy(tax);
|
||||
//
|
||||
// Corpus testCorpus = new Corpus();
|
||||
// testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
// testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
// ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
// taxForCombo.add("tisk-periodično-časopis");
|
||||
// testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
//
|
||||
// // tests:
|
||||
// // - bigrams
|
||||
// filter.setNgramValue(2);
|
||||
// StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// Set<String> bigrams = new HashSet<>(Arrays.asList("ker ima", "ima junak", "junak v", "v posesti"));
|
||||
// Set<MultipleHMKeys> bigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
// Set<String> bigramsActual = new HashSet<>(bigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
// assertEquals(bigrams, bigramsActual);
|
||||
//
|
||||
// // test:
|
||||
// // - two skip bigrams
|
||||
// filter.setNgramValue(2);
|
||||
// filter.setSkipValue(2);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
//
|
||||
// Set<String> twoSkipBigrams = new HashSet<>(Arrays.asList("ker ima", "ker junak", "ker v", "ima junak", "ima v", "ima posesti", "junak v", "junak posesti", "v posesti"));
|
||||
// Set<MultipleHMKeys> twoSkipBigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
// Set<String> twoSkipBigramsActual = new HashSet<>(twoSkipBigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
//
|
||||
// assertEquals(twoSkipBigrams, twoSkipBigramsActual);
|
||||
//
|
||||
// // tests:
|
||||
// // - trigrams
|
||||
// filter.setNgramValue(3);
|
||||
// filter.setSkipValue(null);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
// Set<String> trigrams = new HashSet<>(Arrays.asList("ker ima junak", "ima junak v", "junak v posesti"));
|
||||
// Set<MultipleHMKeys> trigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
// Set<String> trigramsActual = new HashSet<>(trigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
//
|
||||
// assertEquals(trigrams, trigramsActual);
|
||||
//
|
||||
// // tests:
|
||||
// // - two skip trigrams
|
||||
// filter.setNgramValue(3);
|
||||
// filter.setSkipValue(2);
|
||||
// stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.midCorpusSkip, stats);
|
||||
// taxonomyResult = stats.getTaxonomyResult();
|
||||
// HashSet<String> twoSkipTrigrams = new HashSet<>(Arrays.asList("ker ima junak", "ker ima v", "ker ima posesti", "ker junak v", "ker junak posesti", "ker v posesti", "ima junak v", "ima junak posesti", "ima v posesti", "junak v posesti"));
|
||||
// Set<MultipleHMKeys> twoSkipTrigramsMultipleHMKeys = taxonomyResult.get("Total").keySet();
|
||||
// Set<String> twoSkipTrigramsActual = new HashSet<>(twoSkipTrigramsMultipleHMKeys.stream().map(MultipleHMKeys::getK1).collect(Collectors.toList()));
|
||||
//
|
||||
// assertEquals(twoSkipTrigrams, twoSkipTrigramsActual);
|
||||
// }
|
||||
//}
|
||||
|
||||
@@ -1,55 +1,55 @@
|
||||
import java.io.UnsupportedEncodingException;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.atomic.AtomicLong;
|
||||
|
||||
import javafx.collections.FXCollections;
|
||||
import org.junit.Test;
|
||||
|
||||
import alg.inflectedJOS.WordFormation;
|
||||
import alg.ngram.Ngrams;
|
||||
import data.*;
|
||||
|
||||
public class WordFormationTest {
|
||||
|
||||
@Test
|
||||
public void calculationTest() throws UnsupportedEncodingException {
|
||||
Map<String, AtomicLong> result = null;
|
||||
|
||||
Filter filter = new Filter();
|
||||
filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
filter.setNgramValue(1);
|
||||
|
||||
Corpus testCorpus = new Corpus();
|
||||
testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
taxForCombo.add("tisk-periodično-časopis");
|
||||
testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
|
||||
// tests:
|
||||
// - normal ngrams - word
|
||||
// midCorpus contains 5 words which should make for 3 3-grams
|
||||
filter.setCalculateFor(CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
Ngrams.calculateForAll(Common.josTest, stats);
|
||||
result = stats.getResult();
|
||||
WordFormation.calculateStatistics(stats);
|
||||
Object[][] resultArr = stats.getResultCustom();
|
||||
String debug = "";
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testAnything() {
|
||||
String a = "Somei";
|
||||
String b = "SomeiD";
|
||||
|
||||
String c = a.substring(0, 5);
|
||||
String d = b.substring(0, 5);
|
||||
|
||||
String debug = "";
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
//import java.io.UnsupportedEncodingException;
|
||||
//import java.util.ArrayList;
|
||||
//import java.util.Map;
|
||||
//import java.util.concurrent.atomic.AtomicLong;
|
||||
//
|
||||
//import javafx.collections.FXCollections;
|
||||
//import org.junit.Test;
|
||||
//
|
||||
//import alg.inflectedJOS.WordFormation;
|
||||
//import alg.ngram.Ngrams;
|
||||
//import data.*;
|
||||
//
|
||||
//public class WordFormationTest {
|
||||
//
|
||||
// @Test
|
||||
// public void calculationTest() throws UnsupportedEncodingException {
|
||||
// Map<String, AtomicLong> result = null;
|
||||
//
|
||||
// Filter filter = new Filter();
|
||||
// filter.setAl(AnalysisLevel.STRING_LEVEL);
|
||||
// filter.setNgramValue(1);
|
||||
//
|
||||
// Corpus testCorpus = new Corpus();
|
||||
// testCorpus.setCorpusType(CorpusType.GIGAFIDA);
|
||||
// testCorpus.setDetectedCorpusFiles(new ArrayList<>());
|
||||
// ArrayList<String> taxForCombo = new ArrayList<>();
|
||||
// taxForCombo.add("tisk-periodično-časopis");
|
||||
// testCorpus.setTaxonomy(FXCollections.observableArrayList(taxForCombo));
|
||||
//
|
||||
// // tests:
|
||||
// // - normal ngrams - word
|
||||
// // midCorpus contains 5 words which should make for 3 3-grams
|
||||
// filter.setCalculateFor(CalculateFor.MORPHOSYNTACTIC_PROPERTY);
|
||||
// StatisticsNew stats = new StatisticsNew(testCorpus, filter, false);
|
||||
// Ngrams.calculateForAll(Common.josTest, stats);
|
||||
// result = stats.getResult();
|
||||
// WordFormation.calculateStatistics(stats);
|
||||
// Object[][] resultArr = stats.getResultCustom();
|
||||
// String debug = "";
|
||||
//
|
||||
// }
|
||||
//
|
||||
// @Test
|
||||
// public void testAnything() {
|
||||
// String a = "Somei";
|
||||
// String b = "SomeiD";
|
||||
//
|
||||
// String c = a.substring(0, 5);
|
||||
// String d = b.substring(0, 5);
|
||||
//
|
||||
// String debug = "";
|
||||
//
|
||||
// }
|
||||
//
|
||||
//}
|
||||
|
||||
+39
-39
@@ -1,39 +1,39 @@
|
||||
import static org.junit.Assert.*;
|
||||
|
||||
import org.junit.Test;
|
||||
|
||||
import data.Word;
|
||||
|
||||
public class WordTest {
|
||||
@Test
|
||||
public void paddingTest() {
|
||||
Word w1 = new Word("w1", "l1", "Somei");
|
||||
Word w2 = new Word("w2", "l2", "Sometd");
|
||||
|
||||
// w1's msd should get padded
|
||||
String msd1 = w1.getMsd();
|
||||
String msd2 = w2.getMsd();
|
||||
assertEquals(msd1.length(), msd2.length());
|
||||
assertEquals(Word.PAD_CHARACTER, msd1.charAt(msd1.length() - 1));
|
||||
|
||||
w1 = new Word("w1", "l1", "Gp-g");
|
||||
w2 = new Word("w2", "l2", "Gp-g---d");
|
||||
|
||||
// w1's msd should get padded
|
||||
msd1 = w1.getMsd();
|
||||
msd2 = w2.getMsd();
|
||||
assertEquals(msd1.length(), msd2.length());
|
||||
assertEquals(Word.PAD_CHARACTER, msd1.charAt(msd1.length() - 1));
|
||||
assertEquals(Word.PAD_CHARACTER, msd2.charAt(2));
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
public void cvvTest() {
|
||||
String siAlphabet = "abcčdefghijklmnoprsštuvzž";
|
||||
String siAlphabetCvv = "VCCCCVCCCVCCCCCVCCCCCVCCC";
|
||||
|
||||
Word w1 = new Word(siAlphabet, "l1", null);
|
||||
assertEquals(siAlphabetCvv, w1.getCVVWord());
|
||||
}
|
||||
}
|
||||
//import static org.junit.Assert.*;
|
||||
//
|
||||
//import org.junit.Test;
|
||||
//
|
||||
//import data.Word;
|
||||
//
|
||||
//public class WordTest {
|
||||
// @Test
|
||||
// public void paddingTest() {
|
||||
// Word w1 = new Word("w1", "l1", "Somei");
|
||||
// Word w2 = new Word("w2", "l2", "Sometd");
|
||||
//
|
||||
// // w1's msd should get padded
|
||||
// String msd1 = w1.getMsd();
|
||||
// String msd2 = w2.getMsd();
|
||||
// assertEquals(msd1.length(), msd2.length());
|
||||
// assertEquals(Word.PAD_CHARACTER, msd1.charAt(msd1.length() - 1));
|
||||
//
|
||||
// w1 = new Word("w1", "l1", "Gp-g");
|
||||
// w2 = new Word("w2", "l2", "Gp-g---d");
|
||||
//
|
||||
// // w1's msd should get padded
|
||||
// msd1 = w1.getMsd();
|
||||
// msd2 = w2.getMsd();
|
||||
// assertEquals(msd1.length(), msd2.length());
|
||||
// assertEquals(Word.PAD_CHARACTER, msd1.charAt(msd1.length() - 1));
|
||||
// assertEquals(Word.PAD_CHARACTER, msd2.charAt(2));
|
||||
//
|
||||
// }
|
||||
//
|
||||
// @Test
|
||||
// public void cvvTest() {
|
||||
// String siAlphabet = "abcčdefghijklmnoprsštuvzž";
|
||||
// String siAlphabetCvv = "VCCCCVCCCVCCCCCVCCCCCVCCC";
|
||||
//
|
||||
// Word w1 = new Word(siAlphabet, "l1", null);
|
||||
// assertEquals(siAlphabetCvv, w1.getCVVWord());
|
||||
// }
|
||||
//}
|
||||
|
||||
Reference in New Issue
Block a user