List of encodeNormValue() Examples

Examples of encodeNormValue()

org.apache.lucene.search.DefaultSimilarity.encodeNormValue()
org.apache.lucene.search.Similarity.encodeNormValue()
Encodes a normalization factor for storage in an index.
The encoding uses a three-bit mantissa, a five-bit exponent, and the zero-exponent point at 15, thus representing values from around 7x10^9 to 2x10^-9 with about one significant decimal digit of accuracy. Zero is also represented. Negative numbers are rounded up to zero. Values too large to represent are rounded down to the largest representable value. Positive values too small to represent are rounded up to the smallest positive representable value.
WARNING: If you override this method, you should change the default Similarity to your implementation with {@link Similarity#setDefault(Similarity)}. Otherwise, your method may not always be called, especially if you omit norms for some fields. @see org.apache.lucene.document.Field#setBoost(float) @see org.apache.lucene.util.SmallFloat

Examples of org.apache.lucene.search.DefaultSimilarity.encodeNormValue()

        try {
          if (0 == x) {
            int docId = 12;
            for(int i=0;i<13;i++) {
              reader.deleteDocument(docId);
              reader.setNorm(docId, "content", sim.encodeNormValue(2.0f));
              docId += 12;
            }
          }
          reader.close();
          success = true;

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Examples of org.apache.lucene.search.Similarity.encodeNormValue()

        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(0, numTokens, numOverlapTokens, 0, boost);
        float n = sim.computeNorm(fieldName, invertState);
        byte norm = sim.encodeNormValue(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;
        cachedFieldName = fieldName;

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Examples of org.apache.lucene.search.Similarity.encodeNormValue()

        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(0, numTokens, numOverlapTokens, 0, boost);
        float n = sim.computeNorm(fieldName, invertState);
        byte norm = sim.encodeNormValue(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;
        cachedFieldName = fieldName;

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Examples of org.apache.lucene.search.Similarity.encodeNormValue()

        try {
          if (0 == x) {
            int docId = 12;
            for(int i=0;i<13;i++) {
              reader.deleteDocument(docId);
              reader.setNorm(docId, "content", sim.encodeNormValue(2.0f));
              docId += 12;
            }
          }
          reader.close();
          success = true;

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Examples of org.apache.lucene.search.Similarity.encodeNormValue()

        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(0, numTokens, numOverlapTokens, 0, boost);
        float n = sim.computeNorm(fieldName, invertState);
        byte norm = sim.encodeNormValue(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;
        cachedFieldName = fieldName;

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Examples of org.apache.lucene.search.Similarity.encodeNormValue()

        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(0, numTokens, numOverlapTokens, 0, boost);
        float n = sim.computeNorm(fieldName, invertState);
        byte norm = sim.encodeNormValue(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;
        cachedFieldName = fieldName;

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