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

Class org.apache.lucene.search.Similarity

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

org.apache.lucene.search.Similarity.computeNorm()
Compute the normalization value for a field, given the accumulated state of term processing for this field (see {@link FieldInvertState}).
Implementations should calculate a float value based on the field state and then return that value.
For backward compatibility this method by default calls {@link #lengthNorm(String,int)} passing{@link FieldInvertState#getLength()} as the second argument, andthen multiplies this value by {@link FieldInvertState#getBoost()}.

WARNING: This API is new and experimental and may suddenly change.
@param field field name @param state current processing state for this field @return the calculated float norm

        Info info = getInfo(fieldName);
        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 = Similarity.encodeNorm(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;

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        Info info = getInfo(fieldName);
        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;

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        Info info = getInfo(fieldName);
        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 = Similarity.encodeNorm(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;

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        Info info = getInfo(fieldName);
        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;

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        Info info = getInfo(fieldName);
        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 = Similarity.encodeNorm(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;

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        Info info = getInfo(fieldName);
        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 = Similarity.encodeNorm(n);
        norms = new byte[] {norm};
        
        // cache it for future reuse
        cachedNorms = norms;

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        Info info = getInfo(fieldName);
        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;

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        Info info = getInfo(fieldName);
        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;

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    invertState.setBoost(1.0f);
    for (int i = 1; i < 1000; i++) {
      invertState.setLength(i);
      assertEquals("base case: i="+i,
                   d.computeNorm("foo", invertState),
                   s.computeNorm("foo", invertState),
                   0.0f);
    }


    // make a sweet spot

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    for (int i = 3; i <=10; i++) {
      invertState.setLength(i);
      assertEquals("3,10: spot i="+i,
                   1.0f,
                   s.computeNorm("foo", invertState),
                   0.0f);
    }
  
    for (int i = 10; i < 1000; i++) {
      invertState.setLength(i-9);

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