public override bool Equals(System.Object o) { if (this == o) { return(true); } if (o == null || GetType() != o.GetType()) { return(false); } TermVectorEntry that = (TermVectorEntry)o; if (term != null?!term.Equals(that.term):that.term != null) { return(false); } return(true); }
public virtual void TestKnownSetOfDocuments() { System.String test1 = "eating chocolate in a computer lab"; //6 terms System.String test2 = "computer in a computer lab"; //5 terms System.String test3 = "a chocolate lab grows old"; //5 terms System.String test4 = "eating chocolate with a chocolate lab in an old chocolate colored computer lab"; //13 terms System.Collections.IDictionary test4Map = new System.Collections.Hashtable(); test4Map["chocolate"] = 3; test4Map["lab"] = 2; test4Map["eating"] = 1; test4Map["computer"] = 1; test4Map["with"] = 1; test4Map["a"] = 1; test4Map["colored"] = 1; test4Map["in"] = 1; test4Map["an"] = 1; test4Map["computer"] = 1; test4Map["old"] = 1; Document testDoc1 = new Document(); SetupDoc(testDoc1, test1); Document testDoc2 = new Document(); SetupDoc(testDoc2, test2); Document testDoc3 = new Document(); SetupDoc(testDoc3, test3); Document testDoc4 = new Document(); SetupDoc(testDoc4, test4); Directory dir = new MockRAMDirectory(); try { IndexWriter writer = new IndexWriter(dir, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); Assert.IsTrue(writer != null); writer.AddDocument(testDoc1); writer.AddDocument(testDoc2); writer.AddDocument(testDoc3); writer.AddDocument(testDoc4); writer.Close(); IndexSearcher knownSearcher = new IndexSearcher(dir); TermEnum termEnum = knownSearcher.reader_ForNUnit.Terms(); TermDocs termDocs = knownSearcher.reader_ForNUnit.TermDocs(); //System.out.println("Terms: " + termEnum.size() + " Orig Len: " + termArray.length); Similarity sim = knownSearcher.GetSimilarity(); while (termEnum.Next() == true) { Term term = termEnum.Term(); //System.out.println("Term: " + term); termDocs.Seek(term); while (termDocs.Next()) { int docId = termDocs.Doc(); int freq = termDocs.Freq(); //System.out.println("Doc Id: " + docId + " freq " + freq); TermFreqVector vector = knownSearcher.reader_ForNUnit.GetTermFreqVector(docId, "field"); float tf = sim.Tf(freq); float idf = sim.Idf(term, knownSearcher); //float qNorm = sim.queryNorm() //This is fine since we don't have stop words float lNorm = sim.LengthNorm("field", vector.GetTerms().Length); //float coord = sim.coord() //System.out.println("TF: " + tf + " IDF: " + idf + " LenNorm: " + lNorm); Assert.IsTrue(vector != null); System.String[] vTerms = vector.GetTerms(); int[] freqs = vector.GetTermFrequencies(); for (int i = 0; i < vTerms.Length; i++) { if (term.Text().Equals(vTerms[i])) { Assert.IsTrue(freqs[i] == freq); } } } //System.out.println("--------"); } Query query = new TermQuery(new Term("field", "chocolate")); ScoreDoc[] hits = knownSearcher.Search(query, null, 1000).scoreDocs; //doc 3 should be the first hit b/c it is the shortest match Assert.IsTrue(hits.Length == 3); float score = hits[0].score; /*System.out.println("Hit 0: " + hits.id(0) + " Score: " + hits.score(0) + " String: " + hits.doc(0).toString()); * System.out.println("Explain: " + knownSearcher.explain(query, hits.id(0))); * System.out.println("Hit 1: " + hits.id(1) + " Score: " + hits.score(1) + " String: " + hits.doc(1).toString()); * System.out.println("Explain: " + knownSearcher.explain(query, hits.id(1))); * System.out.println("Hit 2: " + hits.id(2) + " Score: " + hits.score(2) + " String: " + hits.doc(2).toString()); * System.out.println("Explain: " + knownSearcher.explain(query, hits.id(2)));*/ Assert.IsTrue(hits[0].doc == 2); Assert.IsTrue(hits[1].doc == 3); Assert.IsTrue(hits[2].doc == 0); TermFreqVector vector2 = knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].doc, "field"); Assert.IsTrue(vector2 != null); //System.out.println("Vector: " + vector); System.String[] terms = vector2.GetTerms(); int[] freqs2 = vector2.GetTermFrequencies(); Assert.IsTrue(terms != null && terms.Length == 10); for (int i = 0; i < terms.Length; i++) { System.String term = terms[i]; //System.out.println("Term: " + term); int freq = freqs2[i]; Assert.IsTrue(test4.IndexOf(term) != -1); System.Int32 freqInt = -1; try { freqInt = (System.Int32)test4Map[term]; } catch (Exception) { Assert.IsTrue(false); } Assert.IsTrue(freqInt == freq); } SortedTermVectorMapper mapper = new SortedTermVectorMapper(new TermVectorEntryFreqSortedComparator()); knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].doc, mapper); System.Collections.Generic.SortedDictionary <object, object> vectorEntrySet = mapper.GetTermVectorEntrySet(); Assert.IsTrue(vectorEntrySet.Count == 10, "mapper.getTermVectorEntrySet() Size: " + vectorEntrySet.Count + " is not: " + 10); TermVectorEntry last = null; foreach (TermVectorEntry tve in vectorEntrySet.Keys) { if (tve != null && last != null) { Assert.IsTrue(last.GetFrequency() >= tve.GetFrequency(), "terms are not properly sorted"); System.Int32 expectedFreq = (System.Int32)test4Map[tve.GetTerm()]; //we expect double the expectedFreq, since there are two fields with the exact same text and we are collapsing all fields Assert.IsTrue(tve.GetFrequency() == 2 * expectedFreq, "Frequency is not correct:"); } last = tve; } FieldSortedTermVectorMapper fieldMapper = new FieldSortedTermVectorMapper(new TermVectorEntryFreqSortedComparator()); knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].doc, fieldMapper); System.Collections.IDictionary map = fieldMapper.GetFieldToTerms(); Assert.IsTrue(map.Count == 2, "map Size: " + map.Count + " is not: " + 2); vectorEntrySet = (System.Collections.Generic.SortedDictionary <Object, Object>)map["field"]; Assert.IsTrue(vectorEntrySet != null, "vectorEntrySet is null and it shouldn't be"); Assert.IsTrue(vectorEntrySet.Count == 10, "vectorEntrySet Size: " + vectorEntrySet.Count + " is not: " + 10); knownSearcher.Close(); } catch (System.IO.IOException e) { System.Console.Error.WriteLine(e.StackTrace); Assert.IsTrue(false); } }
public override void Map(System.String term, int frequency, TermVectorOffsetInfo[] offsets, int[] positions) { TermVectorEntry entry = new TermVectorEntry(currentField, term, frequency, offsets, positions); currentSet.Add(entry, entry); }