Lucene學習之二搜尋（計分Score）

// from chapter 3

public class scoretest extends testcase 
public void teardown() throws exception 
public void test******() throws exception );
indexsearcher searcher = new indexsearcher(directory);
searcher.setsimilarity(new ******similarity());
query query = new termquery(new term("contents", "x"));
explanation explanation = searcher.explain(query, 0);
system.out.println(explanation);
topdocs matches = searcher.search(query, 10);
assertequals(1, matches.totalhits);
assertequals(1f, matches.scoredocs[0].score, 0.0);
searcher.close();
} private void indexsinglefielddocs(field fields) throws exception 
writer.optimize();
writer.close();
} public void testwildcard() throws exception );
indexsearcher searcher = new indexsearcher(directory);
query query = new wildcardquery(new term("contents", "?ild*")); //#a
topdocs matches = searcher.search(query, 10);
assertequals("child no match", 3, matches.totalhits);
assertequals("score the same", matches.scoredocs[0].score,
matches.scoredocs[1].score, 0.0);
assertequals("score the same", matches.scoredocs[1].score,
matches.scoredocs[2].score, 0.0);
searcher.close();
} /*
#a construct wildcardquery using term
*/public void testfuzzy() throws exception );
indexsearcher searcher = new indexsearcher(directory);
query query = new fuzzyquery(new term("contents", "wuzza"));
topdocs matches = searcher.search(query, 10);
assertequals("both close enough", 2, matches.totalhits);
asserttrue("wuzzy closer than fuzzy",
matches.scoredocs[0].score != matches.scoredocs[1].score);
document doc = searcher.doc(matches.scoredocs[0].doc);
assertequals("wuzza bear", "wuzzy", doc.get("contents"));
searcher.close();
} public static class ******similarity extends similarity 
public float querynorm(float sumofsquaredweights) 
public float tf(float freq) 
public float sloppyfreq(int distance) 
public float idf(vector terms, searcher searcher) 
public float idf(int docfreq, int numdocs) 
public float coord(int overlap, int maxoverlap) 
}}

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