C# IndexReader.Norms方法代码示例

		public override Explanation Explain(IndexReader reader, int doc)
		{
			
			ComplexExplanation result = new ComplexExplanation();
			result.Description = "weight(" + Query + " in " + doc + "), product of:";
			System.String field = ((SpanQuery) Query).Field;
			
			Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + idfExp.Explain() + ")");
			
			// explain query weight
			Explanation queryExpl = new Explanation();
			queryExpl.Description = "queryWeight(" + Query + "), product of:";
			
			Explanation boostExpl = new Explanation(Query.Boost, "boost");
			if (Query.Boost != 1.0f)
				queryExpl.AddDetail(boostExpl);
			queryExpl.AddDetail(idfExpl);
			
			Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
			queryExpl.AddDetail(queryNormExpl);
			
			queryExpl.Value = boostExpl.Value * idfExpl.Value * queryNormExpl.Value;
			
			result.AddDetail(queryExpl);
			
			// explain field weight
			ComplexExplanation fieldExpl = new ComplexExplanation();
			fieldExpl.Description = "fieldWeight(" + field + ":" + internalQuery.ToString(field) + " in " + doc + "), product of:";
			
			Explanation tfExpl = ((SpanScorer)Scorer(reader, true, false)).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]):1.0f;
			fieldNormExpl.Value = fieldNorm;
			fieldNormExpl.Description = "fieldNorm(field=" + field + ", doc=" + doc + ")";
			fieldExpl.AddDetail(fieldNormExpl);
			
			fieldExpl.Match = tfExpl.IsMatch;
			fieldExpl.Value = tfExpl.Value * idfExpl.Value * fieldNormExpl.Value;
			
			result.AddDetail(fieldExpl);
			System.Boolean? tempAux = fieldExpl.Match;
			result.Match = tempAux;
			
			// combine them
			result.Value = queryExpl.Value * fieldExpl.Value;
			
			if (queryExpl.Value == 1.0f)
				return fieldExpl;
			
			return result;
		}

			public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
			{
				return new MatchAllScorer(enclosingInstance, reader, similarity, this, Enclosing_Instance.normsField != null?reader.Norms(Enclosing_Instance.normsField):null);
			}

		public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
		{
			return new SpanScorer(internalQuery.GetSpans(reader), this, similarity, reader.Norms(internalQuery.Field));
		}

			public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
			{
				if (Enclosing_Instance.termArrays.Count == 0)
				// optimize zero-term case
					return null;
				
				TermPositions[] tps = new TermPositions[Enclosing_Instance.termArrays.Count];
				for (int i = 0; i < tps.Length; i++)
				{
					Term[] terms = Enclosing_Instance.termArrays[i];
					
					TermPositions p;
					if (terms.Length > 1)
						p = new MultipleTermPositions(reader, terms);
					else
						p = reader.TermPositions(terms[0]);
					
					if (p == null)
						return null;
					
					tps[i] = p;
				}
				
				if (Enclosing_Instance.slop == 0)
					return new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), similarity, reader.Norms(Enclosing_Instance.field));
				else
					return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), similarity, Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
			}

			public override Explanation Explain(IndexReader reader, int doc)
			{
				ComplexExplanation result = new ComplexExplanation();
				result.Description = "weight(" + Query + " in " + doc + "), product of:";
				
				Explanation idfExpl = new Explanation(idf, "idf(" + Query + ")");
				
				// explain query weight
				Explanation queryExpl = new Explanation();
				queryExpl.Description = "queryWeight(" + Query + "), product of:";
				
				Explanation boostExpl = new Explanation(Enclosing_Instance.Boost, "boost");
				if (Enclosing_Instance.Boost != 1.0f)
					queryExpl.AddDetail(boostExpl);
				
				queryExpl.AddDetail(idfExpl);
				
				Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
				queryExpl.AddDetail(queryNormExpl);
				
				queryExpl.Value = boostExpl.Value * idfExpl.Value * queryNormExpl.Value;
				
				result.AddDetail(queryExpl);
				
				// explain field weight
				ComplexExplanation fieldExpl = new ComplexExplanation();
				fieldExpl.Description = "fieldWeight(" + Query + " in " + doc + "), product of:";

                PhraseScorer scorer = (PhraseScorer)Scorer(reader, true, false);
				if (scorer == null)
				{
					return new Explanation(0.0f, "no matching docs");
				}
				Explanation tfExplanation = new Explanation();
			    int d = scorer.Advance(doc);
			    float phraseFreq = (d == doc) ? scorer.CurrentFreq() : 0.0f;
                tfExplanation.Value = similarity.Tf(phraseFreq);
                tfExplanation.Description = "tf(phraseFreq=" + phraseFreq + ")";
                fieldExpl.AddDetail(tfExplanation);
				fieldExpl.AddDetail(idfExpl);
				
				Explanation fieldNormExpl = new Explanation();
				byte[] fieldNorms = reader.Norms(Enclosing_Instance.field);
				float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):1.0f;
				fieldNormExpl.Value = fieldNorm;
				fieldNormExpl.Description = "fieldNorm(field=" + Enclosing_Instance.field + ", doc=" + doc + ")";
				fieldExpl.AddDetail(fieldNormExpl);
				
				fieldExpl.Match = tfExplanation.IsMatch;
                fieldExpl.Value = tfExplanation.Value * idfExpl.Value * fieldNormExpl.Value;
				
				result.AddDetail(fieldExpl);
				System.Boolean? tempAux = fieldExpl.Match;
				result.Match = tempAux;
				
				// combine them
				result.Value = queryExpl.Value * fieldExpl.Value;
				
				if (queryExpl.Value == 1.0f)
					return fieldExpl;
				
				return result;
			}

			public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
			{
				return new PayloadNearSpanScorer(enclosingInstance, internalQuery.GetSpans(reader), this, similarity, reader.Norms(internalQuery.Field));
			}

			public override Explanation Explain(IndexReader reader, int doc)
			{
				
				Explanation result = new Explanation();
				result.Description = "weight(" + Query + " in " + doc + "), product of:";
				
				System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
				System.Text.StringBuilder query = new System.Text.StringBuilder();
				query.Append('\"');
				docFreqs.Append(idfExp.Explain());
				for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
				{
					if (i != 0)
					{
						query.Append(" ");
					}
					
					Term term = Enclosing_Instance.terms[i];
					
					query.Append(term.Text);
				}
				query.Append('\"');
				
				Explanation idfExpl = new Explanation(idf, "idf(" + Enclosing_Instance.field + ":" + docFreqs + ")");
				
				// explain query weight
				Explanation queryExpl = new Explanation();
				queryExpl.Description = "queryWeight(" + Query + "), product of:";
				
				Explanation boostExpl = new Explanation(Enclosing_Instance.Boost, "boost");
				if (Enclosing_Instance.Boost != 1.0f)
					queryExpl.AddDetail(boostExpl);
				queryExpl.AddDetail(idfExpl);
				
				Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
				queryExpl.AddDetail(queryNormExpl);
				
				queryExpl.Value = boostExpl.Value * idfExpl.Value * queryNormExpl.Value;
				
				result.AddDetail(queryExpl);
				
				// explain field weight
				Explanation fieldExpl = new Explanation();
				fieldExpl.Description = "fieldWeight(" + Enclosing_Instance.field + ":" + query + " in " + doc + "), product of:";
				
				PhraseScorer scorer = (PhraseScorer)Scorer(reader, true, false);
				if (scorer == null)
				{
					return new Explanation(0.0f, "no matching docs");
				}
                Explanation tfExplanation = new Explanation();
                int d = scorer.Advance(doc);
                float phraseFreq = (d == doc) ? scorer.CurrentFreq() : 0.0f;
                tfExplanation.Value = similarity.Tf(phraseFreq);
                tfExplanation.Description = "tf(phraseFreq=" + phraseFreq + ")";

                fieldExpl.AddDetail(tfExplanation);
				fieldExpl.AddDetail(idfExpl);
				
				Explanation fieldNormExpl = new Explanation();
				byte[] fieldNorms = reader.Norms(Enclosing_Instance.field);
				float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):1.0f;
				fieldNormExpl.Value = fieldNorm;
				fieldNormExpl.Description = "fieldNorm(field=" + Enclosing_Instance.field + ", doc=" + doc + ")";
				fieldExpl.AddDetail(fieldNormExpl);

                fieldExpl.Value = tfExplanation.Value * idfExpl.Value * fieldNormExpl.Value;
				
				result.AddDetail(fieldExpl);
				
				// combine them
				result.Value = queryExpl.Value * fieldExpl.Value;
				
				if (queryExpl.Value == 1.0f)
					return fieldExpl;
				
				return result;
			}

			public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
			{
				if (Enclosing_Instance.terms.Count == 0)
				// optimize zero-term case
					return null;
				
				TermPositions[] tps = new TermPositions[Enclosing_Instance.terms.Count];
				for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
				{
					TermPositions p = reader.TermPositions(Enclosing_Instance.terms[i]);
					if (p == null)
						return null;
					tps[i] = p;
				}
				
				if (Enclosing_Instance.slop == 0)
				// optimize exact case
					return new ExactPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), similarity, reader.Norms(Enclosing_Instance.field));
				else
					return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), similarity, Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
			}

			public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
			{
				TermDocs termDocs = reader.TermDocs(Enclosing_Instance.term);
				
				if (termDocs == null)
					return null;
				
				return new TermScorer(this, termDocs, similarity, reader.Norms(Enclosing_Instance.term.Field));
			}

			public override Explanation Explain(IndexReader reader, int doc)
			{
				
				ComplexExplanation result = new ComplexExplanation();
				result.Description = "weight(" + Query + " in " + doc + "), product of:";
				
				Explanation expl = new Explanation(idf, idfExp.Explain());
				
				// explain query weight
				Explanation queryExpl = new Explanation();
				queryExpl.Description = "queryWeight(" + Query + "), product of:";
				
				Explanation boostExpl = new Explanation(Enclosing_Instance.Boost, "boost");
				if (Enclosing_Instance.Boost != 1.0f)
					queryExpl.AddDetail(boostExpl);
				queryExpl.AddDetail(expl);
				
				Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
				queryExpl.AddDetail(queryNormExpl);
				
				queryExpl.Value = boostExpl.Value * expl.Value * queryNormExpl.Value;
				
				result.AddDetail(queryExpl);
				
				// explain field weight
				System.String field = Enclosing_Instance.term.Field;
				ComplexExplanation fieldExpl = new ComplexExplanation();
				fieldExpl.Description = "fieldWeight(" + Enclosing_Instance.term + " in " + doc + "), product of:";

                Explanation tfExplanation = new Explanation();
                int tf = 0;
                TermDocs termDocs = reader.TermDocs(enclosingInstance.term);
                if (termDocs != null)
                {
                    try
                    {
                        if (termDocs.SkipTo(doc) && termDocs.Doc == doc)
                        {
                            tf = termDocs.Freq;
                        }
                    }
                    finally
                    {
                        termDocs.Close();
                    }
                    tfExplanation.Value = similarity.Tf(tf);
                    tfExplanation.Description = "tf(termFreq(" + enclosingInstance.term + ")=" + tf + ")";
                }
                else
                {
                    tfExplanation.Value = 0.0f;
                    tfExplanation.Description = "no matching term";
                }
                fieldExpl.AddDetail(tfExplanation);
				fieldExpl.AddDetail(expl);
				
				Explanation fieldNormExpl = new Explanation();
				byte[] fieldNorms = reader.Norms(field);
				float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):1.0f;
				fieldNormExpl.Value = fieldNorm;
				fieldNormExpl.Description = "fieldNorm(field=" + field + ", doc=" + doc + ")";
				fieldExpl.AddDetail(fieldNormExpl);

                fieldExpl.Match = tfExplanation.IsMatch;
                fieldExpl.Value = tfExplanation.Value * expl.Value * fieldNormExpl.Value;
				
				result.AddDetail(fieldExpl);
				System.Boolean? tempAux = fieldExpl.Match;
				result.Match = tempAux;
				
				// combine them
				result.Value = queryExpl.Value * fieldExpl.Value;
				
				if (queryExpl.Value == 1.0f)
					return fieldExpl;
				
				return result;
			}