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.GetSimilarity(), 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.GetSimilarity(), 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 TestExplain()
{
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.GetSimilarity(), indexReader.Norms(FIELD));
Explanation explanation = ts.Explain(0);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 1, "term frq is not 1");
explanation = ts.Explain(1);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 0, "term frq is not 0");
Term dogsTerm = new Term(FIELD, "dogs");
termQuery = new TermQuery(dogsTerm);
weight = termQuery.Weight(indexSearcher);
ts = new TermScorer(weight, indexReader.TermDocs(dogsTerm), indexSearcher.GetSimilarity(), indexReader.Norms(FIELD));
explanation = ts.Explain(1);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
float sqrtTwo = (float)System.Math.Sqrt(2.0f);
Assert.IsTrue(explanation.GetValue() == sqrtTwo, "term frq: " + explanation.GetValue() + " is not the square root of 2");
explanation = ts.Explain(10); //try a doc out of range
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 0, "term frq: " + explanation.GetValue() + " is not 0");
}
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.GetSimilarity(), 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);
}
public virtual void TestExplain()
{
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.GetSimilarity(), indexReader.Norms(FIELD));
Explanation explanation = ts.Explain(0);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 1, "term frq is not 1");
explanation = ts.Explain(1);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 0, "term frq is not 0");
Term dogsTerm = new Term(FIELD, "dogs");
termQuery = new TermQuery(dogsTerm);
weight = termQuery.Weight(indexSearcher);
ts = new TermScorer(weight, indexReader.TermDocs(dogsTerm), indexSearcher.GetSimilarity(), indexReader.Norms(FIELD));
explanation = ts.Explain(1);
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
float sqrtTwo = (float) System.Math.Sqrt(2.0f);
Assert.IsTrue(explanation.GetValue() == sqrtTwo, "term frq: " + explanation.GetValue() + " is not the square root of 2");
explanation = ts.Explain(10); //try a doc out of range
Assert.IsTrue(explanation != null, "explanation is null and it shouldn't be");
//System.out.println("Explanation: " + explanation.toString());
//All this Explain does is return the term frequency
Assert.IsTrue(explanation.GetValue() == 0, "term frq: " + explanation.GetValue() + " is not 0");
}
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.GetSimilarity(), 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.GetSimilarity(), 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.GetSimilarity(), 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);
}
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.GetSimilarity(), indexReader.Norms(FIELD));
Assert.IsTrue(ts != null, "ts is null and it shouldn't be");
Assert.IsTrue(ts.SkipTo(3) == true, "Didn't skip");
//The next doc should be doc 5
Assert.IsTrue(ts.Doc() == 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.GetSimilarity(), indexReader.Norms(FIELD));
Assert.IsTrue(ts != null, "ts is null and it shouldn't be");
Assert.IsTrue(ts.Next() == true, "next did not return a doc");
Assert.IsTrue(ts.Score() == 1.6931472f, "score is not correct");
Assert.IsTrue(ts.Next() == true, "next did not return a doc");
Assert.IsTrue(ts.Score() == 1.6931472f, "score is not correct");
Assert.IsTrue(ts.Next() == false, "next returned a doc and it should not have");
}
