public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer, IState state)
{
Similarity similarity = _parent.GetSimilarity(_searcher);
if (_parent.Matches.Count > 128)
{
return(new LazyInitInScorer(_parent, reader, state, similarity));
}
var scorers = ArrayPool <Scorer> .Shared.Rent(_parent.Matches.Count);
int index = 0;
byte[] norms = reader.Norms(_parent.Field, state);
foreach (var match in _parent.Matches)
{
var termDocs = reader.TermDocs(new Term(_parent.Field, match), state);
var scorer = new TermScorer(this, termDocs, similarity, norms);
if (scorer.NextDoc(state) != DocIdSetIterator.NO_MORE_DOCS)
{
scorers[index++] = scorer;
}
}
return(new SharedArrayDisjunctionMaxScorer(1.0f, similarity, scorers, index));
}
public virtual void TestSkipTo()
{
Term allTerm = new Term(FIELD, "all");
TermQuery termQuery = new TermQuery(allTerm);
Weight weight = termQuery.Weight(IndexSearcher);
TermScorer ts = new TermScorer(weight, indexReader.TermDocs(allTerm), IndexSearcher.Similarity, indexReader.Norms(FIELD));
Assert.IsTrue(ts.Advance(3) != DocIdSetIterator.NO_MORE_DOCS, "Didn't skip");
//The next doc should be doc 5
Assert.IsTrue(ts.DocID() == 5, "doc should be number 5");
}
public virtual void TestNext()
{
Term allTerm = new Term(FIELD, "all");
TermQuery termQuery = new TermQuery(allTerm);
Weight weight = termQuery.Weight(IndexSearcher);
TermScorer ts = new TermScorer(weight, indexReader.TermDocs(allTerm), IndexSearcher.Similarity, indexReader.Norms(FIELD));
Assert.IsTrue(ts.NextDoc() != DocIdSetIterator.NO_MORE_DOCS, "next did not return a doc");
Assert.IsTrue(ts.Score() == 1.6931472f, "score is not correct");
Assert.IsTrue(ts.NextDoc() != DocIdSetIterator.NO_MORE_DOCS, "next did not return a doc");
Assert.IsTrue(ts.Score() == 1.6931472f, "score is not correct");
Assert.IsTrue(ts.NextDoc() == DocIdSetIterator.NO_MORE_DOCS, "next returned a doc and it should not have");
}
public virtual void Test()
{
Term allTerm = new Term(FIELD, "all");
TermQuery termQuery = new TermQuery(allTerm);
Weight weight = termQuery.Weight(IndexSearcher);
TermScorer ts = new TermScorer(weight, indexReader.TermDocs(allTerm), IndexSearcher.Similarity, indexReader.Norms(FIELD));
//we have 2 documents with the term all in them, one document for all the other values
System.Collections.IList docs = new System.Collections.ArrayList();
//must call next first
ts.Score(new AnonymousClassCollector(docs, this));
Assert.IsTrue(docs.Count == 2, "docs Size: " + docs.Count + " is not: " + 2);
TestHit doc0 = (TestHit)docs[0];
TestHit doc5 = (TestHit)docs[1];
//The scores should be the same
Assert.IsTrue(doc0.Score == doc5.Score, doc0.Score + " does not equal: " + doc5.Score);
/*
* Score should be (based on Default Sim.:
* All floats are approximate
* tf = 1
* numDocs = 6
* docFreq(all) = 2
* idf = ln(6/3) + 1 = 1.693147
* idf ^ 2 = 2.8667
* boost = 1
* lengthNorm = 1 //there is 1 term in every document
* coord = 1
* sumOfSquaredWeights = (idf * boost) ^ 2 = 1.693147 ^ 2 = 2.8667
* queryNorm = 1 / (sumOfSquaredWeights)^0.5 = 1 /(1.693147) = 0.590
*
* score = 1 * 2.8667 * 1 * 1 * 0.590 = 1.69
*
*/
Assert.IsTrue(doc0.Score == 1.6931472f, doc0.Score + " does not equal: " + 1.6931472f);
}
