public override SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
SimScorer sub = Sim.GetSimScorer(stats, context);
FieldCache.Singles values = FieldCache.DEFAULT.GetSingles(context.AtomicReader, BoostField, false);
return(new SimScorerAnonymousInnerClassHelper(this, sub, values));
}
public override SimScorer DoSimScorer(SimWeight stats, AtomicReaderContext context)
{
SimScorer[] subScorers = new SimScorer[Sims.Length];
for (int i = 0; i < subScorers.Length; i++)
{
subScorers[i] = Sims[i].DoSimScorer(((MultiStats)stats).SubStats[i], context);
}
return new MultiSimScorer(subScorers);
}
public override SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
SimScorer[] subScorers = new SimScorer[m_sims.Length];
for (int i = 0; i < subScorers.Length; i++)
{
subScorers[i] = m_sims[i].GetSimScorer(((MultiStats)stats).subStats[i], context);
}
return(new MultiSimScorer(subScorers));
}
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 Explanation Explain(AtomicReaderContext context, int doc)
{
Scorer scorer = GetScorer(context, context.AtomicReader.LiveDocs);
if (scorer != null)
{
int newDoc = scorer.Advance(doc);
if (newDoc == doc)
{
float freq = scorer.Freq;
SimScorer docScorer = similarity.GetSimScorer(stats, context);
ComplexExplanation result = new ComplexExplanation();
result.Description = "weight(" + Query + " in " + doc + ") [" + similarity.GetType().Name + "], result of:";
Explanation scoreExplanation = docScorer.Explain(doc, new Explanation(freq, "termFreq=" + freq));
result.AddDetail(scoreExplanation);
result.Value = scoreExplanation.Value;
result.Match = true;
return(result);
}
}
return(new ComplexExplanation(false, 0.0f, "no matching term"));
}
public override Explanation Explain(AtomicReaderContext context, int doc)
{
Scorer scorer = Scorer(context, (context.AtomicReader).LiveDocs);
if (scorer != null)
{
int newDoc = scorer.Advance(doc);
if (newDoc == doc)
{
float freq = OuterInstance.slop == 0 ? scorer.Freq() : ((SloppyPhraseScorer)scorer).SloppyFreq();
SimScorer docScorer = Similarity.DoSimScorer(Stats, context);
ComplexExplanation result = new ComplexExplanation();
result.Description = "weight(" + Query + " in " + doc + ") [" + Similarity.GetType().Name + "], result of:";
Explanation scoreExplanation = docScorer.Explain(doc, new Explanation(freq, "phraseFreq=" + freq));
result.AddDetail(scoreExplanation);
result.Value = scoreExplanation.Value;
result.Match = true;
return(result);
}
}
return(new ComplexExplanation(false, 0.0f, "no matching term"));
}
public SimScorerAnonymousInnerClassHelper(BoostingSimilarity outerInstance, SimScorer sub, FieldCache.Singles values)
{
this.OuterInstance = outerInstance;
this.Sub = sub;
this.Values = values;
}
public SimScorerAnonymousClass(BoostingSimilarity outerInstance, SimScorer sub, FieldCache.Singles values)
{
this.outerInstance = outerInstance;
this.sub = sub;
this.values = values;
}
internal MultiSimScorer(SimScorer[] subScorers)
{
this.SubScorers = subScorers;
}
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));
}
}
