Package org.apache.lucene.search.similarities

Examples of org.apache.lucene.search.similarities.Similarity$SimScorer

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    assertHits(new FunctionQuery(new FloatFieldSource("float")),
        new float[] { 5.2f, 9.3f });
  }
 
  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 });
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        new ConstValueSource(1f), new ConstValueSource(2f)})),
        new float[] { 1f, 1f });
  }
 
  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")),
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        new TermFreqValueSource("bogus", "bogus", "string", new BytesRef("bar"))),
        new float[] { 0f, 1f });
  }
 
  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"))),
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    public NumericDocValues getNormValues(String field) {
      FieldInfo fieldInfo = fieldInfos.get(field);
      if (fieldInfo == null || fieldInfo.omitsNorms())
        return null;
      NumericDocValues norms = cachedNormValues;
      Similarity sim = getSimilarity();
      if (!field.equals(cachedFieldName) || sim != cachedSimilarity) { // not cached?
        Info info = getInfo(field);
        int numTokens = info != null ? info.numTokens : 0;
        int numOverlapTokens = info != null ? info.numOverlapTokens : 0;
        float boost = info != null ? info.getBoost() : 1.0f;
        FieldInvertState invertState = new FieldInvertState(field, 0, numTokens, numOverlapTokens, 0, boost);
        long value = sim.computeNorm(invertState);
        norms = new MemoryIndexNormDocValues(value);
        // cache it for future reuse
        cachedNormValues = norms;
        cachedFieldName = field;
        cachedSimilarity = sim;
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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;
        }
      };
 
      final Similarity oldSim = searcher.getSimilarity();
      Scorer spanScorer;
      try {
        searcher.setSimilarity(sim);
        SpanNearQuery snq = new SpanNearQuery(
                                new SpanQuery[] {
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    query.add(new TermQuery(new Term(field, "xx")), BooleanClause.Occur.MUST);
    query.add(new TermQuery(new Term(field, "w2")), BooleanClause.Occur.MUST);
    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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    public NumericDocValues getNormValues(String field) {
      FieldInfo fieldInfo = fieldInfos.get(field);
      if (fieldInfo == null || fieldInfo.omitsNorms())
        return null;
      NumericDocValues norms = cachedNormValues;
      Similarity sim = getSimilarity();
      if (!field.equals(cachedFieldName) || sim != cachedSimilarity) { // not cached?
        Info info = getInfo(field);
        int numTokens = info != null ? info.numTokens : 0;
        int numOverlapTokens = info != null ? info.numOverlapTokens : 0;
        float boost = info != null ? info.getBoost() : 1.0f;
        FieldInvertState invertState = new FieldInvertState(field, 0, numTokens, numOverlapTokens, 0, boost);
        long value = sim.computeNorm(invertState);
        norms = new MemoryIndexNormDocValues(value);
        // cache it for future reuse
        cachedNormValues = norms;
        cachedFieldName = field;
        cachedSimilarity = sim;
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  }
 
  @Override
  public synchronized Similarity get(String field) {
    assert field != null;
    Similarity sim = previousMappings.get(field);
    if (sim == null) {
      sim = knownSims.get(Math.max(0, Math.abs(perFieldSeed ^ field.hashCode())) % knownSims.size());
      previousMappings.put(field, sim);
    }
    return sim;
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      SearchConfiguration cfg,
      WorkerBuildContext buildContext
  ) {
    String indexName = getIndexName( entity, cfg );
    Properties[] indexProperties = getIndexProperties( cfg, indexName );
    Similarity similarity = createSimilarity( indexName, cfg, indexProperties[0], entity, buildContext );
    boolean isDynamicSharding = isShardingDynamic( indexProperties[0], buildContext );

    IndexManager[] indexManagers = new IndexManager[0];
    if ( !isDynamicSharding ) {
      indexManagers = createIndexManagers(
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      Properties indexProperties,
      XClass clazz,
      WorkerBuildContext buildContext) {

    // now we check the config
    Similarity configLevelSimilarity = getConfiguredPerIndexSimilarity(
        directoryProviderName,
        indexProperties,
        buildContext
    );
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