/// <summary> </summary>
/// <param name="directory">The directory to write the document information to
/// </param>
/// <param name="analyzer">The analyzer to use for the document
/// </param>
/// <param name="similarity">The Similarity function
/// </param>
/// <param name="maxFieldLength">The maximum number of tokens a Field may have
/// </param>
public /*internal*/ DocumentWriter(Directory directory, Analyzer analyzer, Similarity similarity, int maxFieldLength)
{
this.directory = directory;
this.analyzer = analyzer;
this.similarity = similarity;
this.maxFieldLength = maxFieldLength;
}
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.Value;
}
/// <summary> </summary>
/// <param name="directory">The directory to write the document information to
/// </param>
/// <param name="analyzer">The analyzer to use for the document
/// </param>
/// <param name="similarity">The Similarity function
/// </param>
/// <param name="maxFieldLength">The maximum number of tokens a Field may have
/// </param>
public /*internal*/ DocumentWriter(Directory directory, Analyzer analyzer, Similarity similarity, int maxFieldLength)
{
this.directory = directory;
this.analyzer = analyzer;
this.similarity = similarity;
this.maxFieldLength = maxFieldLength;
}
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.Value;
}
/// <summary>Expert: Resets the normalization factor for the named Field of the named
/// document.
///
/// </summary>
/// <seealso cref="#Norms(String)">
/// </seealso>
/// <seealso cref="Similarity#DecodeNorm(byte)">
/// </seealso>
public virtual void SetNorm(int doc, System.String field, float value_Renamed)
{
SetNorm(doc, field, Similarity.EncodeNorm(value_Renamed));
}
/// <summary>Expert: Set the Similarity implementation used by this IndexWriter.
///
/// </summary>
/// <seealso cref="Similarity#SetDefault(Similarity)">
/// </seealso>
public virtual void SetSimilarity(Similarity similarity)
{
this.similarity = similarity;
}
private void InitBlock()
{
similarity = Similarity.GetDefault();
}
internal AnonymousClassScorer(Monodoc.Lucene.Net.Search.Scorer scorer, System.Collections.BitArray bitset, AnonymousClassWeight enclosingInstance, Monodoc.Lucene.Net.Search.Similarity Param1) : base(Param1)
{
InitBlock(scorer, bitset, enclosingInstance);
}
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 override float Score()
{
float raw = GetSimilarity().Tf(freq) * value_Renamed; // raw score
return(raw * Similarity.DecodeNorm(norms[doc])); // normalize
}
/// <summary>Expert: Set the Similarity implementation used by this IndexWriter.
///
/// </summary>
/// <seealso cref="Similarity#SetDefault(Similarity)">
/// </seealso>
public virtual void SetSimilarity(Similarity similarity)
{
this.similarity = similarity;
}
