internal ExactPhraseScorer(Weight weight, PhraseQuery.PostingsAndFreq[] postings, Similarity.SimScorer docScorer)
: base(weight)
{
this.DocScorer = docScorer;
ChunkStates = new ChunkState[postings.Length];
EndMinus1 = postings.Length - 1;
// min(cost)
Cost_Renamed = postings[0].Postings.Cost();
for (int i = 0; i < postings.Length; i++)
{
// Coarse optimization: advance(target) is fairly
// costly, so, if the relative freq of the 2nd
// rarest term is not that much (> 1/5th) rarer than
// the first term, then we just use .nextDoc() when
// ANDing. this buys ~15% gain for phrases where
// freq of rarest 2 terms is close:
bool useAdvance = postings[i].DocFreq > 5 * postings[0].DocFreq;
ChunkStates[i] = new ChunkState(postings[i].Postings, -postings[i].Position, useAdvance);
if (i > 0 && postings[i].Postings.NextDoc() == DocIdSetIterator.NO_MORE_DOCS)
{
NoDocs = true;
return;
}
}
}
protected internal SpanScorer(Spans spans, Weight weight, Similarity.SimScorer docScorer)
: base(weight)
{
this.m_docScorer = docScorer;
this.m_spans = spans;
m_doc = -1;
m_more = spans.Next();
}
protected internal SpanScorer(Spans spans, Weight weight, Similarity.SimScorer docScorer)
: base(weight)
{
this.DocScorer = docScorer;
this.Spans = spans;
Doc = -1;
More = spans.Next();
}
public override Explanation Explain(AtomicReaderContext context, int doc)
{
PayloadTermSpanScorer scorer = (PayloadTermSpanScorer)Scorer(context, (context.AtomicReader).LiveDocs);
if (scorer != null)
{
int newDoc = scorer.Advance(doc);
if (newDoc == doc)
{
float freq = scorer.SloppyFreq();
Similarity.SimScorer docScorer = Similarity.DoSimScorer(Stats, context);
Explanation expl = new Explanation();
expl.Description = "weight(" + Query + " in " + doc + ") [" + Similarity.GetType().Name + "], result of:";
Explanation scoreExplanation = docScorer.Explain(doc, new Explanation(freq, "phraseFreq=" + freq));
expl.AddDetail(scoreExplanation);
expl.Value = scoreExplanation.Value;
// now the payloads part
// QUESTION: Is there a way to avoid this skipTo call? We need to know
// whether to load the payload or not
// GSI: I suppose we could toString the payload, but I don't think that
// would be a good idea
string field = ((SpanQuery)Query).Field;
Explanation payloadExpl = OuterInstance.Function.Explain(doc, field, scorer.PayloadsSeen, scorer.PayloadScore_Renamed);
payloadExpl.Value = scorer.PayloadScore;
// combined
ComplexExplanation result = new ComplexExplanation();
if (OuterInstance.IncludeSpanScore)
{
result.AddDetail(expl);
result.AddDetail(payloadExpl);
result.Value = expl.Value * payloadExpl.Value;
result.Description = "btq, product of:";
}
else
{
result.AddDetail(payloadExpl);
result.Value = payloadExpl.Value;
result.Description = "btq(includeSpanScore=false), result of:";
}
result.Match = true; // LUCENE-1303
return(result);
}
}
return(new ComplexExplanation(false, 0.0f, "no matching term"));
}
/// <summary>
/// Construct a <code>TermScorer</code>.
/// </summary>
/// <param name="weight">
/// The weight of the <code>Term</code> in the query. </param>
/// <param name="td">
/// An iterator over the documents matching the <code>Term</code>. </param>
/// <param name="docScorer">
/// The </code>Similarity.SimScorer</code> implementation
/// to be used for score computations. </param>
internal TermScorer(Weight weight, DocsEnum td, Similarity.SimScorer docScorer)
: base(weight)
{
this.DocScorer = docScorer;
this.DocsEnum = td;
}
public PayloadTermSpanScorer(PayloadTermQuery.PayloadTermWeight outerInstance, TermSpans spans, Weight weight, Similarity.SimScorer docScorer)
: base(spans, weight, docScorer)
{
this.OuterInstance = outerInstance;
TermSpans = spans;
}
