private float[] vScores; // reused in score() to avoid allocating this array for each doc
// constructor
internal CustomScorer(CustomScoreQuery enclosingInstance, Similarity similarity, IndexReader reader, CustomWeight w, Scorer subQueryScorer, Scorer[] valSrcScorers) : base(similarity)
{
InitBlock(enclosingInstance);
this.weight = w;
this.qWeight = w.GetValue();
this.subQueryScorer = subQueryScorer;
this.valSrcScorers = valSrcScorers;
this.reader = reader;
this.vScores = new float[valSrcScorers.Length];
this.provider = this.Enclosing_Instance.GetCustomScoreProvider(reader);
}
public CustomWeight(CustomScoreQuery enclosingInstance, Searcher searcher)
{
InitBlock(enclosingInstance);
this.similarity = Enclosing_Instance.GetSimilarity(searcher);
this.subQueryWeight = Enclosing_Instance.subQuery.Weight(searcher);
this.valSrcWeights = new Weight[Enclosing_Instance.valSrcQueries.Length];
for (int i = 0; i < Enclosing_Instance.valSrcQueries.Length; i++)
{
this.valSrcWeights[i] = Enclosing_Instance.valSrcQueries[i].CreateWeight(searcher);
}
this.qStrict = Enclosing_Instance.strict;
}
protected internal virtual void ProcessPayload(Similarity similarity)
{
if (positions.IsPayloadAvailable())
{
payload = positions.GetPayload(payload, 0);
payloadScore = Enclosing_Instance.Enclosing_Instance.function.CurrentScore(doc, Enclosing_Instance.Enclosing_Instance.term.Field(), spans.Start(), spans.End(), payloadsSeen, payloadScore, similarity.ScorePayload(doc, Enclosing_Instance.Enclosing_Instance.term.Field(), spans.Start(), spans.End(), payload, 0, positions.GetPayloadLength()));
payloadsSeen++;
}
else
{
// zero out the payload?
}
}
protected internal SpanScorer(Spans spans, Weight weight, Similarity similarity, byte[] norms):base(similarity)
{
this.spans = spans;
this.norms = norms;
this.weight = weight;
this.value_Renamed = weight.GetValue();
if (this.spans.Next())
{
doc = - 1;
}
else
{
doc = NO_MORE_DOCS;
more = false;
}
}
protected internal SpanScorer(Spans spans, Weight weight, Similarity similarity, byte[] norms) : base(similarity)
{
this.spans = spans;
this.norms = norms;
this.weight = weight;
this.value_Renamed = weight.GetValue();
if (this.spans.Next())
{
doc = -1;
}
else
{
doc = NO_MORE_DOCS;
more = false;
}
}
internal override void Finish()
{
System.Diagnostics.Debug.Assert(docIDs.Length == norms.Length);
if (fieldInfo.isIndexed && !fieldInfo.omitNorms)
{
if (docIDs.Length <= upto)
{
System.Diagnostics.Debug.Assert(docIDs.Length == upto);
docIDs = ArrayUtil.Grow(docIDs, 1 + upto);
norms = ArrayUtil.Grow(norms, 1 + upto);
}
float norm = docState.similarity.ComputeNorm(fieldInfo.name, fieldState);
norms[upto] = Similarity.EncodeNorm(norm);
docIDs[upto] = docState.docID;
upto++;
}
}
public /*protected internal*/ override bool SetFreqCurrentDoc()
{
if (!more)
{
return(false);
}
doc = spans.Doc();
freq = 0.0f;
payloadScore = 0;
payloadsSeen = 0;
Similarity similarity1 = GetSimilarity();
while (more && doc == spans.Doc())
{
int matchLength = spans.End() - spans.Start();
freq += similarity1.SloppyFreq(matchLength);
ProcessPayload(similarity1);
more = spans.Next(); // this moves positions to the next match in this
// document
}
return(more || (freq != 0));
}
public PayloadTermSpanScorer(PayloadTermWeight enclosingInstance, TermSpans spans, Weight weight, Similarity similarity, byte[] norms):base(spans, weight, similarity, norms)
{
InitBlock(enclosingInstance);
positions = spans.GetPositions();
}
internal AnonymousClassSimilarityDelegator(BooleanQuery enclosingInstance, Mono.Lucene.Net.Search.Similarity Param1) : base(Param1)
{
InitBlock(enclosingInstance);
}
protected internal PayloadNearSpanScorer(PayloadNearQuery enclosingInstance, Mono.Lucene.Net.Search.Spans.Spans spans, Weight weight, Similarity similarity, byte[] norms):base(spans, weight, similarity, norms)
{
InitBlock(enclosingInstance);
this.spans = spans;
}
public override float Score()
{
float raw = GetSimilarity().Tf(freq) * value_Renamed; // raw score
return(norms == null?raw:raw *Similarity.DecodeNorm(norms[doc])); // normalize
}
internal AnonymousClassScorer(Mono.Lucene.Net.Search.Scorer scorer, Mono.Lucene.Net.Search.DocIdSetIterator docIdSetIterator, AnonymousClassWeight enclosingInstance, Mono.Lucene.Net.Search.Similarity Param1) : base(Param1)
{
InitBlock(scorer, docIdSetIterator, enclosingInstance);
}
protected internal virtual void ProcessPayload(Similarity similarity)
{
if (positions.IsPayloadAvailable())
{
payload = positions.GetPayload(payload, 0);
payloadScore = Enclosing_Instance.Enclosing_Instance.function.CurrentScore(doc, Enclosing_Instance.Enclosing_Instance.term.Field(), spans.Start(), spans.End(), payloadsSeen, payloadScore, similarity.ScorePayload(doc, Enclosing_Instance.Enclosing_Instance.term.Field(), spans.Start(), spans.End(), payload, 0, positions.GetPayloadLength()));
payloadsSeen++;
}
else
{
// zero out the payload?
}
}
private void InitBlock(Mono.Lucene.Net.Search.Weight weight, Mono.Lucene.Net.Search.Similarity similarity, FilteredQuery enclosingInstance)
{
this.weight = weight;
this.similarity = similarity;
this.enclosingInstance = enclosingInstance;
}
public AnonymousClassWeight(Mono.Lucene.Net.Search.Weight weight, Mono.Lucene.Net.Search.Similarity similarity, FilteredQuery enclosingInstance)
{
InitBlock(weight, similarity, enclosingInstance);
}
internal DocumentsWriter(Directory directory, IndexWriter writer, IndexingChain indexingChain)
{
InitBlock();
this.directory = directory;
this.writer = writer;
this.similarity = writer.GetSimilarity();
flushedDocCount = writer.MaxDoc();
consumer = indexingChain.GetChain(this);
if (consumer is DocFieldProcessor)
{
docFieldProcessor = (DocFieldProcessor) consumer;
}
}
internal AnonymousClassConjunctionScorer(int requiredNrMatchers, BooleanScorer2 enclosingInstance, Mono.Lucene.Net.Search.Similarity Param1, System.Collections.ICollection Param2) : base(Param1, Param2)
{
InitBlock(requiredNrMatchers, enclosingInstance);
}
protected internal PayloadNearSpanScorer(PayloadNearQuery enclosingInstance, Mono.Lucene.Net.Search.Spans.Spans spans, Weight weight, Similarity similarity, byte[] norms) : base(spans, weight, similarity, norms)
{
InitBlock(enclosingInstance);
this.spans = spans;
}
public PayloadTermSpanScorer(PayloadTermWeight enclosingInstance, TermSpans spans, Weight weight, Similarity similarity, byte[] norms) : base(spans, weight, similarity, norms)
{
InitBlock(enclosingInstance);
positions = spans.GetPositions();
}
private float[] vScores; // reused in score() to avoid allocating this array for each doc
// constructor
internal CustomScorer(CustomScoreQuery enclosingInstance, Similarity similarity, IndexReader reader, CustomWeight w, Scorer subQueryScorer, Scorer[] valSrcScorers):base(similarity)
{
InitBlock(enclosingInstance);
this.weight = w;
this.qWeight = w.GetValue();
this.subQueryScorer = subQueryScorer;
this.valSrcScorers = valSrcScorers;
this.reader = reader;
this.vScores = new float[valSrcScorers.Length];
this.provider = this.Enclosing_Instance.GetCustomScoreProvider(reader);
}
public CustomWeight(CustomScoreQuery enclosingInstance, Searcher searcher)
{
InitBlock(enclosingInstance);
this.similarity = Enclosing_Instance.GetSimilarity(searcher);
this.subQueryWeight = Enclosing_Instance.subQuery.Weight(searcher);
this.valSrcWeights = new Weight[Enclosing_Instance.valSrcQueries.Length];
for (int i = 0; i < Enclosing_Instance.valSrcQueries.Length; i++)
{
this.valSrcWeights[i] = Enclosing_Instance.valSrcQueries[i].CreateWeight(searcher);
}
this.qStrict = Enclosing_Instance.strict;
}
internal void SetSimilarity(Similarity similarity)
{
lock (this)
{
this.similarity = similarity;
for (int i = 0; i < threadStates.Length; i++)
threadStates[i].docState.similarity = similarity;
}
}
static NormsWriter()
{
defaultNorm = Similarity.EncodeNorm(1.0f);
}
/// <summary>Expert: Set the Similarity implementation used by this IndexWriter.
///
/// </summary>
/// <seealso cref="Similarity.SetDefault(Similarity)">
/// </seealso>
public virtual void SetSimilarity(Similarity similarity)
{
EnsureOpen();
this.similarity = similarity;
docWriter.SetSimilarity(similarity);
}
