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);
}
