public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
{
Explanation result = new Explanation();
result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(docFreq=" + searcher.DocFreq(Enclosing_Instance.term) + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
Explanation boostExpl = new Explanation(Enclosing_Instance.GetBoost(), "boost");
if (Enclosing_Instance.GetBoost() != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain Field weight
System.String field = Enclosing_Instance.term.Field();
Explanation fieldExpl = new Explanation();
fieldExpl.SetDescription("fieldWeight(" + Enclosing_Instance.term + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(Field=" + field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
TermDocs termDocs = reader.TermDocs(Enclosing_Instance.term);
if (termDocs == null)
{
return(null);
}
return(new TermScorer(this, termDocs, Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.term.Field())));
}
public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
{
Explanation result = new Explanation();
result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
System.Text.StringBuilder query = new System.Text.StringBuilder();
query.Append('\"');
for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
{
if (i != 0)
{
docFreqs.Append(" ");
query.Append(" ");
}
Term term = (Term)Enclosing_Instance.terms[i];
docFreqs.Append(term.Text());
docFreqs.Append("=");
docFreqs.Append(searcher.DocFreq(term));
query.Append(term.Text());
}
query.Append('\"');
Explanation idfExpl = new Explanation(idf, "idf(" + Enclosing_Instance.field + ": " + docFreqs + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
Explanation boostExpl = new Explanation(Enclosing_Instance.GetBoost(), "boost");
if (Enclosing_Instance.GetBoost() != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain Field weight
Explanation fieldExpl = new Explanation();
fieldExpl.SetDescription("fieldWeight(" + Enclosing_Instance.field + ":" + query + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(Enclosing_Instance.field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(Field=" + Enclosing_Instance.field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.terms.Count == 0)
{
// optimize zero-term case
return(null);
}
TermPositions[] tps = new TermPositions[Enclosing_Instance.terms.Count];
for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
{
TermPositions p = reader.TermPositions((Term)Enclosing_Instance.terms[i]);
if (p == null)
{
return(null);
}
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
{
// optimize exact case
return(new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field)));
}
else
{
return(new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field)));
}
}
public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
{
Explanation result = new Explanation();
result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
System.String field = ((SpanQuery)Query).GetField();
System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
System.Collections.IEnumerator i = terms.GetEnumerator();
while (i.MoveNext())
{
Term term = (Term)i.Current;
docFreqs.Append(term.Text());
docFreqs.Append("=");
docFreqs.Append(searcher.DocFreq(term));
if (i.MoveNext())
{
docFreqs.Append(" ");
}
}
Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + docFreqs + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
Explanation boostExpl = new Explanation(Query.GetBoost(), "boost");
if (Query.GetBoost() != 1.0f)
{
queryExpl.AddDetail(boostExpl);
}
queryExpl.AddDetail(idfExpl);
Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
queryExpl.AddDetail(queryNormExpl);
queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
result.AddDetail(queryExpl);
// explain Field weight
Explanation fieldExpl = new Explanation();
fieldExpl.SetDescription("fieldWeight(" + field + ":" + query.ToString(field) + " in " + doc + "), product of:");
Explanation tfExpl = Scorer(reader).Explain(doc);
fieldExpl.AddDetail(tfExpl);
fieldExpl.AddDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = reader.Norms(field);
float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]) : 0.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(Field=" + field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
return(new SpanScorer(query.GetSpans(reader), this, query.GetSimilarity(searcher), reader.Norms(query.GetField())));
}
public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
{
if (Enclosing_Instance.termArrays.Count == 0)
{
// optimize zero-term case
return(null);
}
TermPositions[] tps = new TermPositions[Enclosing_Instance.termArrays.Count];
for (int i = 0; i < tps.Length; i++)
{
Term[] terms = (Term[])Enclosing_Instance.termArrays[i];
TermPositions p;
if (terms.Length > 1)
{
p = new MultipleTermPositions(reader, terms);
}
else
{
p = reader.TermPositions(terms[0]);
}
if (p == null)
{
return(null);
}
tps[i] = p;
}
if (Enclosing_Instance.slop == 0)
{
return(new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field)));
}
else
{
return(new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field)));
}
}