internal SlowMinShouldMatchScorer(BooleanWeight weight, AtomicReader reader, IndexSearcher searcher)
: base(weight)
{
this.Dv = reader.GetSortedSetDocValues("dv");
this.MaxDoc = reader.MaxDoc;
BooleanQuery bq = (BooleanQuery)weight.Query;
this.MinNrShouldMatch = bq.MinimumNumberShouldMatch;
this.Sims = new SimScorer[(int)Dv.ValueCount];
foreach (BooleanClause clause in bq.Clauses)
{
Debug.Assert(!clause.Prohibited);
Debug.Assert(!clause.Required);
Term term = ((TermQuery)clause.Query).Term;
long ord = Dv.LookupTerm(term.Bytes);
if (ord >= 0)
{
bool success = Ords.Add(ord);
Debug.Assert(success); // no dups
TermContext context = TermContext.Build(reader.Context, term);
SimWeight w = weight.Similarity.ComputeWeight(1f, searcher.CollectionStatistics("field"), searcher.TermStatistics(term, context));
var dummy = w.ValueForNormalization; // ignored
w.Normalize(1F, 1F);
Sims[(int)ord] = weight.Similarity.DoSimScorer(w, (AtomicReaderContext)reader.Context);
}
}
}
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 SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
SimWeight[] subStats = new SimWeight[m_sims.Length];
for (int i = 0; i < subStats.Length; i++)
{
subStats[i] = m_sims[i].ComputeWeight(queryBoost, collectionStats, termStats);
}
return(new MultiStats(subStats));
}
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)
{
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 SimWeight ComputeWeight(float queryBoost, CollectionStatistics collectionStats, params TermStatistics[] termStats)
{
SimWeight[] subStats = new SimWeight[Sims.Length];
for (int i = 0; i < subStats.Length; i++)
{
subStats[i] = Sims[i].ComputeWeight(queryBoost, collectionStats, termStats);
}
return new MultiStats(subStats);
}
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)));
}
}
/// <summary> /// Creates a new <seealso cref="Similarity.SimScorer"/> to score matching documents from a segment of the inverted index. </summary> /// <param name="weight"> collection information from <seealso cref="#computeWeight(float, CollectionStatistics, TermStatistics...)"/> </param> /// <param name="context"> segment of the inverted index to be scored. </param> /// <returns> SloppySimScorer for scoring documents across <code>context</code> </returns> /// <exception cref="IOException"> if there is a low-level I/O error </exception> public abstract SimScorer DoSimScorer(SimWeight weight, AtomicReaderContext context);
public override SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context)
{
return(new SimScorerAnonymousInnerClassHelper(this));
}
public override sealed SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context)
{
PerFieldSimWeight perFieldWeight = (PerFieldSimWeight)weight;
return([email protected](perFieldWeight.delegateWeight, context));
}
public override sealed SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
BM25Stats bm25stats = (BM25Stats)stats;
return(new BM25DocScorer(this, bm25stats, context.AtomicReader.GetNormValues(bm25stats.Field)));
}
public override sealed SimScorer DoSimScorer(SimWeight stats, AtomicReaderContext context)
{
IDFStats idfstats = (IDFStats)stats;
return new TFIDFSimScorer(this, idfstats, context.AtomicReader.GetNormValues(idfstats.Field));
}
public override sealed SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
IDFStats idfstats = (IDFStats)stats;
return(new TFIDFSimScorer(this, idfstats, context.AtomicReader.GetNormValues(idfstats.Field)));
}
public override SimScorer DoSimScorer(SimWeight weight, AtomicReaderContext context)
{
throw new InvalidOperationException();
}
public override SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
throw UnsupportedOperationException.Create(UNSUPPORTED_MSG);
}
internal MultiStats(SimWeight[] subStats)
{
this.SubStats = subStats;
}
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 weight, AtomicReaderContext context)
{
throw new InvalidOperationException();
}
public override SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context)
{
throw new System.NotSupportedException();
}
public override SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context)
{
throw UnsupportedOperationException.Create();
}
public override SimScorer GetSimScorer(SimWeight stats, AtomicReaderContext context)
{
throw new NotSupportedException(UNSUPPORTED_MSG);
}
public override sealed SimScorer DoSimScorer(SimWeight weight, AtomicReaderContext context)
{
PerFieldSimWeight perFieldWeight = (PerFieldSimWeight)weight;
return [email protected](perFieldWeight.DelegateWeight, context);
}
/// <summary> /// Creates a new <see cref="Similarity.SimScorer"/> to score matching documents from a segment of the inverted index. </summary> /// <param name="weight"> collection information from <see cref="ComputeWeight(float, CollectionStatistics, TermStatistics[])"/> </param> /// <param name="context"> segment of the inverted index to be scored. </param> /// <returns> Sloppy <see cref="SimScorer"/> for scoring documents across <c>context</c> </returns> /// <exception cref="IOException"> if there is a low-level I/O error </exception> public abstract SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context);
public override sealed SimScorer DoSimScorer(SimWeight stats, AtomicReaderContext context)
{
BM25Stats bm25stats = (BM25Stats)stats;
return new BM25DocScorer(this, bm25stats, ((AtomicReader)context.Reader()).GetNormValues(bm25stats.Field));
}
public override SimScorer GetSimScorer(SimWeight weight, AtomicReaderContext context)
{
return(@in.GetSimScorer(weight, context));
}
public override SimScorer DoSimScorer(SimWeight weight, AtomicReaderContext context)
{
return @in.DoSimScorer(weight, context);
}
