本文整理汇总了C#中Lucene.Net.Search.IndexSearcher.TermStatistics方法的典型用法代码示例。如果您正苦于以下问题：C# IndexSearcher.TermStatistics方法的具体用法？C# IndexSearcher.TermStatistics怎么用？C# IndexSearcher.TermStatistics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Lucene.Net.Search.IndexSearcher的用法示例。
在下文中一共展示了IndexSearcher.TermStatistics方法的3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: TermWeight
public TermWeight(TermQuery outerInstance, IndexSearcher searcher, TermContext termStates)
{
this.OuterInstance = outerInstance;
Debug.Assert(termStates != null, "TermContext must not be null");
this.TermStates = termStates;
this.Similarity = searcher.Similarity;
this.Stats = Similarity.ComputeWeight(outerInstance.Boost, searcher.CollectionStatistics(outerInstance.Term_Renamed.Field()), searcher.TermStatistics(outerInstance.Term_Renamed, termStates));
}示例2: SpanWeight
public SpanWeight(SpanQuery query, IndexSearcher searcher)
{
this.Similarity = searcher.Similarity;
this.query = query;
TermContexts = new Dictionary<Term, TermContext>();
SortedSet<Term> terms = new SortedSet<Term>();
query.ExtractTerms(terms);
IndexReaderContext context = searcher.TopReaderContext;
TermStatistics[] termStats = new TermStatistics[terms.Count];
int i = 0;
foreach (Term term in terms)
{
TermContext state = TermContext.Build(context, term);
termStats[i] = searcher.TermStatistics(term, state);
TermContexts[term] = state;
i++;
}
string field = query.Field;
if (field != null)
{
Stats = Similarity.ComputeWeight(query.Boost, searcher.CollectionStatistics(query.Field), termStats);
}
}示例3: SlowMinShouldMatchScorer
internal SlowMinShouldMatchScorer(BooleanWeight weight, AtomicReader reader, IndexSearcher searcher)
: base(weight)
{
this.Dv = reader.GetSortedSetDocValues("dv");
this.MaxDoc = reader.MaxDoc;
BooleanQuery bq = (BooleanQuery)weight.Query;
this.MinNrShouldMatch = bq.MinimumNumberShouldMatch;
this.Sims = new SimScorer[(int)Dv.ValueCount];
foreach (BooleanClause clause in bq.Clauses)
{
Debug.Assert(!clause.Prohibited);
Debug.Assert(!clause.Required);
Term term = ((TermQuery)clause.Query).Term;
long ord = Dv.LookupTerm(term.Bytes);
if (ord >= 0)
{
bool success = Ords.Add(ord);
Debug.Assert(success); // no dups
TermContext context = TermContext.Build(reader.Context, term);
SimWeight w = weight.Similarity.ComputeWeight(1f, searcher.CollectionStatistics("field"), searcher.TermStatistics(term, context));
var dummy = w.ValueForNormalization; // ignored
w.Normalize(1F, 1F);
Sims[(int)ord] = weight.Similarity.DoSimScorer(w, (AtomicReaderContext)reader.Context);
}
}
}