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C# Monodoc.Norms方法代码示例

本文整理汇总了C#中Monodoc.Norms方法的典型用法代码示例。如果您正苦于以下问题：C# Monodoc.Norms方法的具体用法？C# Monodoc.Norms怎么用？C# Monodoc.Norms使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Monodoc的用法示例。


在下文中一共展示了Monodoc.Norms方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: Scorer

			public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
			{
				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 = (Term[]) 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(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field));
				else
					return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
			}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:28，代码来源:PhrasePrefixQuery.cs

示例2: Explain

			public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
			{
				Explanation result = new Explanation();
				result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
				
				Explanation idfExpl = new Explanation(idf, "idf(" + Query + ")");
				
				// explain query weight
				Explanation queryExpl = new Explanation();
				queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
				
				Explanation boostExpl = new Explanation(Enclosing_Instance.GetBoost(), "boost");
				if (Enclosing_Instance.GetBoost() != 1.0f)
					queryExpl.AddDetail(boostExpl);
				
				queryExpl.AddDetail(idfExpl);
				
				Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
				queryExpl.AddDetail(queryNormExpl);
				
				queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
				
				result.AddDetail(queryExpl);
				
				// explain Field weight
				Explanation fieldExpl = new Explanation();
				fieldExpl.SetDescription("fieldWeight(" + Query + " in " + doc + "), product of:");
				
				Explanation tfExpl = Scorer(reader).Explain(doc);
				fieldExpl.AddDetail(tfExpl);
				fieldExpl.AddDetail(idfExpl);
				
				Explanation fieldNormExpl = new Explanation();
				byte[] fieldNorms = reader.Norms(Enclosing_Instance.field);
				float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):0.0f;
				fieldNormExpl.SetValue(fieldNorm);
				fieldNormExpl.SetDescription("fieldNorm(Field=" + Enclosing_Instance.field + ", doc=" + doc + ")");
				fieldExpl.AddDetail(fieldNormExpl);
				
				fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
				
				result.AddDetail(fieldExpl);
				
				// combine them
				result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
				
				if (queryExpl.GetValue() == 1.0f)
					return fieldExpl;
				
				return result;
			}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:51，代码来源:PhrasePrefixQuery.cs

示例3: Scorer

			public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
			{
				TermDocs termDocs = reader.TermDocs(Enclosing_Instance.term);
				
				if (termDocs == null)
					return null;
				
				return new TermScorer(this, termDocs, Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.term.Field()));
			}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:9，代码来源:TermQuery.cs

示例4: Explain

		public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
		{
			
			Explanation result = new Explanation();
			result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
			System.String field = ((SpanQuery) Query).GetField();
			
			System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
			System.Collections.IEnumerator i = terms.GetEnumerator();
			while (i.MoveNext())
			{
				Term term = (Term) i.Current;
				docFreqs.Append(term.Text());
				docFreqs.Append("=");
				docFreqs.Append(searcher.DocFreq(term));
				
				if (i.MoveNext())
				{
					docFreqs.Append(" ");
				}
			}
			
			Explanation idfExpl = new Explanation(idf, "idf(" + field + ": " + docFreqs + ")");
			
			// explain query weight
			Explanation queryExpl = new Explanation();
			queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
			
			Explanation boostExpl = new Explanation(Query.GetBoost(), "boost");
			if (Query.GetBoost() != 1.0f)
				queryExpl.AddDetail(boostExpl);
			queryExpl.AddDetail(idfExpl);
			
			Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
			queryExpl.AddDetail(queryNormExpl);
			
			queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
			
			result.AddDetail(queryExpl);
			
			// explain Field weight
			Explanation fieldExpl = new Explanation();
			fieldExpl.SetDescription("fieldWeight(" + field + ":" + query.ToString(field) + " in " + doc + "), product of:");
			
			Explanation tfExpl = Scorer(reader).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]) : 0.0f;
			fieldNormExpl.SetValue(fieldNorm);
			fieldNormExpl.SetDescription("fieldNorm(Field=" + field + ", doc=" + doc + ")");
			fieldExpl.AddDetail(fieldNormExpl);
			
			fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
			
			result.AddDetail(fieldExpl);
			
			// combine them
			result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
			
			if (queryExpl.GetValue() == 1.0f)
				return fieldExpl;
			
			return result;
		}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:67，代码来源:SpanWeight.cs

示例5: Scorer

		public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
		{
			return new SpanScorer(query.GetSpans(reader), this, query.GetSimilarity(searcher), reader.Norms(query.GetField()));
		}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:4，代码来源:SpanWeight.cs

示例6: Explain

			public virtual Explanation Explain(Monodoc.Lucene.Net.Index.IndexReader reader, int doc)
			{
				
				Explanation result = new Explanation();
				result.SetDescription("weight(" + Query + " in " + doc + "), product of:");
				
				System.Text.StringBuilder docFreqs = new System.Text.StringBuilder();
				System.Text.StringBuilder query = new System.Text.StringBuilder();
				query.Append('\"');
				for (int i = 0; i < Enclosing_Instance.terms.Count; i++)
				{
					if (i != 0)
					{
						docFreqs.Append(" ");
						query.Append(" ");
					}
					
					Term term = (Term) Enclosing_Instance.terms[i];
					
					docFreqs.Append(term.Text());
					docFreqs.Append("=");
					docFreqs.Append(searcher.DocFreq(term));
					
					query.Append(term.Text());
				}
				query.Append('\"');
				
				Explanation idfExpl = new Explanation(idf, "idf(" + Enclosing_Instance.field + ": " + docFreqs + ")");
				
				// explain query weight
				Explanation queryExpl = new Explanation();
				queryExpl.SetDescription("queryWeight(" + Query + "), product of:");
				
				Explanation boostExpl = new Explanation(Enclosing_Instance.GetBoost(), "boost");
				if (Enclosing_Instance.GetBoost() != 1.0f)
					queryExpl.AddDetail(boostExpl);
				queryExpl.AddDetail(idfExpl);
				
				Explanation queryNormExpl = new Explanation(queryNorm, "queryNorm");
				queryExpl.AddDetail(queryNormExpl);
				
				queryExpl.SetValue(boostExpl.GetValue() * idfExpl.GetValue() * queryNormExpl.GetValue());
				
				result.AddDetail(queryExpl);
				
				// explain Field weight
				Explanation fieldExpl = new Explanation();
				fieldExpl.SetDescription("fieldWeight(" + Enclosing_Instance.field + ":" + query + " in " + doc + "), product of:");
				
				Explanation tfExpl = Scorer(reader).Explain(doc);
				fieldExpl.AddDetail(tfExpl);
				fieldExpl.AddDetail(idfExpl);
				
				Explanation fieldNormExpl = new Explanation();
				byte[] fieldNorms = reader.Norms(Enclosing_Instance.field);
				float fieldNorm = fieldNorms != null?Similarity.DecodeNorm(fieldNorms[doc]):0.0f;
				fieldNormExpl.SetValue(fieldNorm);
				fieldNormExpl.SetDescription("fieldNorm(Field=" + Enclosing_Instance.field + ", doc=" + doc + ")");
				fieldExpl.AddDetail(fieldNormExpl);
				
				fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
				
				result.AddDetail(fieldExpl);
				
				// combine them
				result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
				
				if (queryExpl.GetValue() == 1.0f)
					return fieldExpl;
				
				return result;
			}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:72，代码来源:PhraseQuery.cs

示例7: Scorer

			public virtual Scorer Scorer(Monodoc.Lucene.Net.Index.IndexReader reader)
			{
				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((Term) 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(), Enclosing_Instance.GetSimilarity(searcher), reader.Norms(Enclosing_Instance.field));
				else
					return new SloppyPhraseScorer(this, tps, Enclosing_Instance.GetPositions(), Enclosing_Instance.GetSimilarity(searcher), Enclosing_Instance.slop, reader.Norms(Enclosing_Instance.field));
			}
开发者ID:calumjiao，项目名称:Mono-Class-Libraries，代码行数:21，代码来源:PhraseQuery.cs


注：本文中的Monodoc.Norms方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。