public override SimScorer DoSimScorer(SimWeight stats, AtomicReaderContext context)
{
if (stats is MultiSimilarity.MultiStats)
{
// a multi term query (e.g. phrase). return the summation,
// scoring almost as if it were boolean query
SimWeight[] subStats = ((MultiSimilarity.MultiStats)stats).SubStats;
SimScorer[] subScorers = new SimScorer[subStats.Length];
for (int i = 0; i < subScorers.Length; i++)
{
BasicStats basicstats = (BasicStats)subStats[i];
subScorers[i] = new BasicSimScorer(this, basicstats, context.AtomicReader.GetNormValues(basicstats.field));
}
return(new MultiSimilarity.MultiSimScorer(subScorers));
}
else
{
BasicStats basicstats = (BasicStats)stats;
return(new BasicSimScorer(this, basicstats, context.AtomicReader.GetNormValues(basicstats.field)));
}
}
public override SimScorer DoSimScorer(SimWeight stats, AtomicReaderContext context)
{
if (stats is MultiSimilarity.MultiStats)
{
// a multi term query (e.g. phrase). return the summation,
// scoring almost as if it were boolean query
SimWeight[] subStats = ((MultiSimilarity.MultiStats)stats).SubStats;
SimScorer[] subScorers = new SimScorer[subStats.Length];
for (int i = 0; i < subScorers.Length; i++)
{
BasicStats basicstats = (BasicStats)subStats[i];
subScorers[i] = new BasicSimScorer(this, basicstats, context.AtomicReader.GetNormValues(basicstats.field));
}
return new MultiSimilarity.MultiSimScorer(subScorers);
}
else
{
BasicStats basicstats = (BasicStats)stats;
return new BasicSimScorer(this, basicstats, context.AtomicReader.GetNormValues(basicstats.field));
}
}
