Package org.apache.lucene.search.similarities

Examples of org.apache.lucene.search.similarities.DefaultSimilarity

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    directory = newDirectory();
   
    RandomIndexWriter writer = new RandomIndexWriter(random(), directory,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random()))
        .setMergePolicy(newLogMergePolicy())
        .setSimilarity(new DefaultSimilarity()));
    for (int i = 0; i < values.length; i++) {
      Document doc = new Document();
      doc
          .add(newTextField(FIELD, values[i], Field.Store.YES));
      writer.addDocument(doc);
    }
    indexReader = SlowCompositeReaderWrapper.wrap(writer.getReader());
    writer.close();
    indexSearcher = newSearcher(indexReader);
    indexSearcher.setSimilarity(new DefaultSimilarity());
  }
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    IndexWriter writer = new IndexWriter(
        directory,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random())).
            setMaxBufferedDocs(2).
            setMergePolicy(newLogMergePolicy(1000)).
            setSimilarity(new DefaultSimilarity())
    );
    writer.addDocument(adoc(new String[] {"id", "a", "title", "ipod", "str_s", "a"}));
    writer.addDocument(adoc(new String[] {"id", "b", "title", "ipod ipod", "str_s", "b"}));
    writer.addDocument(adoc(new String[] {"id", "c", "title", "ipod ipod ipod", "str_s","c"}));
    writer.addDocument(adoc(new String[] {"id", "x", "title", "boosted", "str_s", "x"}));
    writer.addDocument(adoc(new String[] {"id", "y", "title", "boosted boosted", "str_s","y"}));
    writer.addDocument(adoc(new String[] {"id", "z", "title", "boosted boosted boosted","str_s", "z"}));

    IndexReader r = DirectoryReader.open(writer, true);
    writer.close();

    IndexSearcher searcher = newSearcher(r);
    searcher.setSimilarity(new DefaultSimilarity());

    runTest(searcher, true);
    runTest(searcher, false);

    r.close();
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  public void testTF() throws Exception {
    Similarity saved = searcher.getSimilarity();
    try {
      // no norm field (so agnostic to indexed similarity)
      searcher.setSimilarity(new DefaultSimilarity());
      assertHits(new FunctionQuery(
          new TFValueSource("bogus", "bogus", "text", new BytesRef("test"))),
          new float[] { (float)Math.sqrt(3d), (float)Math.sqrt(1d) });
      assertHits(new FunctionQuery(
          new TFValueSource("bogus", "bogus", "string", new BytesRef("bar"))),
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  }
 
  public void testIDF() throws Exception {
    Similarity saved = searcher.getSimilarity();
    try {
      searcher.setSimilarity(new DefaultSimilarity());
      assertHits(new FunctionQuery(
          new IDFValueSource("bogus", "bogus", "text", new BytesRef("test"))),
          new float[] { 0.5945349f, 0.5945349f });
    } finally {
      searcher.setSimilarity(saved);
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  public void testNorm() throws Exception {
    Similarity saved = searcher.getSimilarity();
    try {
      // no norm field (so agnostic to indexed similarity)
      searcher.setSimilarity(new DefaultSimilarity());
      assertHits(new FunctionQuery(
          new NormValueSource("byte")),
          new float[] { 0f, 0f });
    } finally {
      searcher.setSimilarity(saved);
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  /**
   * Constructor requiring an IndexReader.
   */
  public MoreLikeThis(IndexReader ir) {
    this(ir, new DefaultSimilarity());
  }
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    List<AtomicReaderContext> leaves = topReaderContext.leaves();
    int subIndex = ReaderUtil.subIndex(11, leaves);
    for (int i = 0, c = leaves.size(); i < c; i++) {
      final AtomicReaderContext ctx = leaves.get(i);
    
      final Similarity sim = new DefaultSimilarity() {
        @Override
        public float sloppyFreq(int distance) {
          return 0.0f;
        }
      };
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  public void testReallyNoNormsForDrillDown() throws Exception {
    Directory dir = newDirectory();
    Directory taxoDir = newDirectory();
    IndexWriterConfig iwc = newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random()));
    iwc.setSimilarity(new PerFieldSimilarityWrapper() {
        final Similarity sim = new DefaultSimilarity();

        @Override
        public Similarity get(String name) {
          assertEquals("field", name);
          return sim;
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    }
    writer.close();
    littleReader = DirectoryReader.open(directory);
    searcher = newSearcher(littleReader);
    // this is intentionally using the baseline sim, because it compares against bigSearcher (which uses a random one)
    searcher.setSimilarity(new DefaultSimilarity());

    // Make big index
    dir2 = new MockDirectoryWrapper(random(), new RAMDirectory(directory, IOContext.DEFAULT));

    // First multiply small test index:
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    query.add(new TermQuery(new Term(field, "zz")), BooleanClause.Occur.SHOULD);

    int[] expDocNrs = {2, 3};
    Similarity oldSimilarity = searcher.getSimilarity();
    try {
      searcher.setSimilarity(new DefaultSimilarity(){
        @Override
        public float coord(int overlap, int maxOverlap) {
          return overlap / ((float)maxOverlap - 1);
        }
      });
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