internal TermScorer(Weight weight, TermDocs td, Similarity similarity, byte[] norms) : base(similarity)
{
this.weight = weight;
this.termDocs = td;
this.norms = norms;
this.weightValue = weight.Value;
for (int i = 0; i < SCORE_CACHE_SIZE; i++)
scoreCache[i] = GetSimilarity().Tf(i) * weightValue;
}
internal PhraseScorer(Weight weight, TermPositions[] tps, int[] positions, Similarity similarity, byte[] norms) : base(similarity)
{
this.norms = norms;
this.weight = weight;
this.value_Renamed = weight.Value;
// convert tps to a list
for (int i = 0; i < tps.Length; i++)
{
PhrasePositions pp = new PhrasePositions(tps[i], positions[i]);
if (last != null)
{
// add next to end of list
last.next = pp;
}
else
first = pp;
last = pp;
}
pq = new PhraseQueue(tps.Length); // construct empty pq
}
/// <summary>Constructs a Scorer. </summary>
protected internal Scorer(Similarity similarity)
{
this.similarity = similarity;
}
public ConjunctionScorer(Similarity similarity):base(similarity)
{
}
internal SloppyPhraseScorer(Weight weight, TermPositions[] tps, int[] positions, Similarity similarity, int slop, byte[] norms) : base(weight, tps, positions, similarity, norms)
{
this.slop = slop;
}
internal ExactPhraseScorer(Weight weight, TermPositions[] tps, int[] positions, Similarity similarity, byte[] norms) :
base(weight, tps, positions, similarity, norms)
{
}
/// <summary>Set the default Similarity implementation used by indexing and search
/// code.
///
/// </summary>
/// <seealso cref="Searcher#SetSimilarity(Similarity)">
/// </seealso>
/// <seealso cref="IndexWriter#SetSimilarity(Similarity)">
/// </seealso>
public static void SetDefault(Similarity similarity)
{
Similarity.defaultImpl = similarity;
}
internal BooleanScorer(Similarity similarity) : base(similarity)
{
InitBlock();
}
/// <summary>Expert: Set the Similarity implementation used by this Searcher.
///
/// </summary>
/// <seealso cref="Similarity#SetDefault(Similarity)">
/// </seealso>
public virtual void SetSimilarity(Similarity similarity)
{
this.similarity = similarity;
}
