/* * PreprocessingTest.java * JUnit based test * * Created on 22 June 2005 */ package wikipedia.clustering; import junit.framework.*; import wikipedia.kleinberg.*; import java.util.*; public class PreprocessingTest extends TestCase { Map<Integer, Article> articles; Map<Integer, Category> categories; public PreprocessingTest(String testName) { super(testName); } protected void setUp() throws Exception { CreateCategoryArticleGraph c = new CreateCategoryArticleGraph (); articles = c.articles; categories = c.categories; } protected void tearDown() throws Exception { } public static Test suite() { TestSuite suite = new TestSuite(PreprocessingTest.class); return suite; } /** * Test of createInitialClusters method, of class wikipedia.clustering.Preprocessing. */ public void testCreateInitialClusters() { System.out.println("testCreateInitialClusters"); List<ClusterCategory> clusters = Preprocessing.createInitialClusters (articles, categories); assertTrue(clusters.size() == categories.size()); } /** * Test of createEdgesBetweenClusters method, of class wikipedia.clustering.Preprocessing. */ public void testCreateEdgesBetweenClusters() { System.out.println("testCreateEdgesBetweenClusters"); List<ClusterCategory> clusters = Preprocessing.createInitialClusters (articles, categories); List<Edge> edges = Preprocessing.createEdgesBetweenClusters (clusters, categories); Map<Integer, ClusterCategory> category_id_to_cluster = ClusterCategory.mapCategoryIdToCluster(clusters); Cluster c_all = category_id_to_cluster.get(1); Cluster c_religious = category_id_to_cluster.get(2); Cluster c_science = category_id_to_cluster.get(3); Cluster c_art = category_id_to_cluster.get(4); assertTrue(c_all.containsAdjacent(c_all)); assertTrue(c_all.containsAdjacent(c_religious)); assertTrue(c_all.containsAdjacent(c_science)); assertTrue(c_all.containsAdjacent(c_art)); assertFalse(c_religious.containsAdjacent(c_science)); } }