public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.terms.Count == 0)
{
// optimize zero-term case
return(null);
}
TermPositions[] tps = new TermPositions[Enclosing_Instance.terms.Count];
for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
{
TermPositions p = reader.TermPositions((Term)Enclosing_Instance.terms[i]);
if (p == null)
{
return(null);
}
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
{
// optimize exact case
return(new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field)));
}
else
{
return(new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field)));
}
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.termArrays.Count == 0)
{
// optimize zero-term case
return(null);
}
TermPositions[] tps = new TermPositions[Enclosing_Instance.termArrays.Count];
for (int i = 0; i < tps.Length; i++)
{
Term[] terms = (Term[])Enclosing_Instance.termArrays[i];
TermPositions p;
if (terms.Length > 1)
{
p = new MultipleTermPositions(reader, terms);
}
else
{
p = reader.TermPositions(terms[0]);
}
if (p == null)
{
return(null);
}
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
{
return(new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field)));
}
else
{
return(new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field)));
}
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.termArrays.Count == 0)
// optimize zero-term case
return null;
TermPositions[] tps = new TermPositions[Enclosing_Instance.termArrays.Count];
for (int i = 0; i < tps.Length; i++)
{
Term[] terms = (Term[]) Enclosing_Instance.termArrays[i];
TermPositions p;
if (terms.Length > 1)
p = new MultipleTermPositions(reader, terms);
else
p = reader.TermPositions(terms[0]);
if (p == null)
return null;
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
return new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field));
else
return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.terms.Count == 0)
// optimize zero-term case
return null;
TermPositions[] tps = new TermPositions[Enclosing_Instance.terms.Count];
for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
{
TermPositions p = reader.TermPositions((Term) Enclosing_Instance.terms[i]);
if (p == null)
return null;
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
// optimize exact case
return new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field));
else
return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
}