public override void SetScorer(Scorer scorer)
{
// Set a ScoreCachingWrappingScorer in case the wrapped Collector will call
// score() also.
this.scorer = new ScoreCachingWrappingScorer(scorer);
c.SetScorer(this.scorer);
}
public ConjunctionScorer(Similarity similarity, Scorer[] scorers):base(similarity)
{
this.scorers = scorers;
coord = similarity.Coord(scorers.Length, scorers.Length);
for (int i = 0; i < scorers.Length; i++)
{
if (scorers[i].NextDoc() == NO_MORE_DOCS)
{
// If even one of the sub-scorers does not have any documents, this
// scorer should not attempt to do any more work.
lastDoc = NO_MORE_DOCS;
return ;
}
}
// Sort the array the first time...
// We don't need to sort the array in any future calls because we know
// it will already start off sorted (all scorers on same doc).
// note that this comparator is not consistent with equals!
System.Array.Sort(scorers, new AnonymousClassComparator(this));
// NOTE: doNext() must be called before the re-sorting of the array later on.
// The reason is this: assume there are 5 scorers, whose first docs are 1,
// 2, 3, 5, 5 respectively. Sorting (above) leaves the array as is. Calling
// doNext() here advances all the first scorers to 5 (or a larger doc ID
// they all agree on).
// However, if we re-sort before doNext() is called, the order will be 5, 3,
// 2, 1, 5 and then doNext() will stop immediately, since the first scorer's
// docs equals the last one. So the invariant that after calling doNext()
// all scorers are on the same doc ID is broken.
if (DoNext() == NO_MORE_DOCS)
{
// The scorers did not agree on any document.
lastDoc = NO_MORE_DOCS;
return ;
}
// If first-time skip distance is any predictor of
// scorer sparseness, then we should always try to skip first on
// those scorers.
// Keep last scorer in it's last place (it will be the first
// to be skipped on), but reverse all of the others so that
// they will be skipped on in order of original high skip.
int end = scorers.Length - 1;
int max = end >> 1;
for (int i = 0; i < max; i++)
{
Scorer tmp = scorers[i];
int idx = end - i - 1;
scorers[i] = scorers[idx];
scorers[idx] = tmp;
}
}
/// <summary> Creates a new instance of DisjunctionMaxScorer
///
/// </summary>
/// <param name="tieBreakerMultiplier">Multiplier applied to non-maximum-scoring subqueries for a
/// document as they are summed into the result.
/// </param>
/// <param name="similarity">-- not used since our definition involves neither coord nor terms
/// directly
/// </param>
/// <param name="subScorers">The sub scorers this Scorer should iterate on
/// </param>
/// <param name="numScorers">The actual number of scorers to iterate on. Note that the array's
/// length may be larger than the actual number of scorers.
/// </param>
public DisjunctionMaxScorer(float tieBreakerMultiplier, Similarity similarity, Scorer[] subScorers, int numScorers):base(similarity)
{
this.tieBreakerMultiplier = tieBreakerMultiplier;
// The passed subScorers array includes only scorers which have documents
// (DisjunctionMaxQuery takes care of that), and their nextDoc() was already
// called.
this.subScorers = subScorers;
this.numScorers = numScorers;
Heapify();
}
public override void SetScorer(Scorer scorer)
{
// wrap with a ScoreCachingWrappingScorer so that successive calls to
// score() will not incur score computation over and over again.
this.scorer = new ScoreCachingWrappingScorer(scorer);
}
public override void SetScorer(Scorer scorer)
{
this.scorer = scorer;
}
public override void SetScorer(Scorer scorer)
{
collector.SetScorer(scorer);
}
/// <summary> Called before successive calls to {@link #Collect(int)}. Implementations
/// that need the score of the current document (passed-in to
/// {@link #Collect(int)}), should save the passed-in Scorer and call
/// scorer.score() when needed.
/// </summary>
public abstract void SetScorer(Scorer scorer);
public override void SetScorer(Scorer scorer)
{
// set the scorer on all comparators
for (int i = 0; i < comparators.Length; i++)
{
comparators[i].SetScorer(scorer);
}
}
private Scorer DualConjunctionSumScorer(Scorer req1, Scorer req2)
{
// non counting.
return new ConjunctionScorer(defaultSimilarity, new Scorer[]{req1, req2});
// All scorers match, so defaultSimilarity always has 1 as
// the coordination factor.
// Therefore the sum of the scores of two scorers
// is used as score.
}
internal SingleMatchScorer(BooleanScorer2 enclosingInstance, Scorer scorer):base(scorer.GetSimilarity())
{
InitBlock(enclosingInstance);
this.scorer = scorer;
}
/// <summary> Creates a {@link Scorer} with the given similarity and lists of required,
/// prohibited and optional scorers. In no required scorers are added, at least
/// one of the optional scorers will have to match during the search.
///
/// </summary>
/// <param name="similarity">The similarity to be used.
/// </param>
/// <param name="minNrShouldMatch">The minimum number of optional added scorers that should match
/// during the search. In case no required scorers are added, at least
/// one of the optional scorers will have to match during the search.
/// </param>
/// <param name="required">the list of required scorers.
/// </param>
/// <param name="prohibited">the list of prohibited scorers.
/// </param>
/// <param name="optional">the list of optional scorers.
/// </param>
public BooleanScorer2(Similarity similarity, int minNrShouldMatch, System.Collections.IList required, System.Collections.IList prohibited, System.Collections.IList optional):base(similarity)
{
if (minNrShouldMatch < 0)
{
throw new System.ArgumentException("Minimum number of optional scorers should not be negative");
}
coordinator = new Coordinator(this);
this.minNrShouldMatch = minNrShouldMatch;
optionalScorers = optional;
coordinator.maxCoord += optional.Count;
requiredScorers = required;
coordinator.maxCoord += required.Count;
prohibitedScorers = prohibited;
coordinator.Init();
countingSumScorer = MakeCountingSumScorer();
}
/// <summary>Returns the score of the current document matching the query.
/// Initially invalid, until {@link #Next()} is called the first time.
/// </summary>
/// <returns> The score of the required scorer, eventually increased by the score
/// of the optional scorer when it also matches the current document.
/// </returns>
public override float Score()
{
int curDoc = reqScorer.DocID();
float reqScore = reqScorer.Score();
if (optScorer == null)
{
return reqScore;
}
int optScorerDoc = optScorer.DocID();
if (optScorerDoc < curDoc && (optScorerDoc = optScorer.Advance(curDoc)) == NO_MORE_DOCS)
{
optScorer = null;
return reqScore;
}
return optScorerDoc == curDoc?reqScore + optScorer.Score():reqScore;
}
/// <summary>Construct a <code>ReqOptScorer</code>.</summary>
/// <param name="reqScorer">The required scorer. This must match.
/// </param>
/// <param name="optScorer">The optional scorer. This is used for scoring only.
/// </param>
public ReqOptSumScorer(Scorer reqScorer, Scorer optScorer):base(null)
{ // No similarity used.
this.reqScorer = reqScorer;
this.optScorer = optScorer;
}
/// <summary> Called before successive calls to {@link #Collect(int)}. Implementations
/// that need the score of the current document (passed-in to
/// {@link #Collect(int)}), should save the passed-in Scorer and call
/// scorer.score() when needed.
/// </summary>
public abstract void SetScorer(Scorer scorer);
public override void SetScorer(Scorer scorer)
{
comparator.SetScorer(scorer);
}
public override void SetScorer(Scorer scorer)
{
this.scorer = scorer;
comparator.SetScorer(scorer);
}
/// <summary>Returns the scorer to be used for match counting and score summing.
/// Uses the given required scorer and the prohibitedScorers.
/// </summary>
/// <param name="requiredCountingSumScorer">A required scorer already built.
/// </param>
private Scorer AddProhibitedScorers(Scorer requiredCountingSumScorer)
{
return (prohibitedScorers.Count == 0)?requiredCountingSumScorer:new ReqExclScorer(requiredCountingSumScorer, ((prohibitedScorers.Count == 1)?(Scorer) prohibitedScorers[0]:new DisjunctionSumScorer(prohibitedScorers)));
}
public override void SetScorer(Scorer scorer)
{
this.scorer = scorer;
base.SetScorer(scorer);
}
/// <summary>Creates a new instance by wrapping the given scorer. </summary>
public ScoreCachingWrappingScorer(Scorer scorer) : base(scorer.GetSimilarity())
{
this.scorer = scorer;
}
public override Explanation Explain(IndexReader reader, int doc)
{
ComplexExplanation result = new ComplexExplanation();
result.SetDescription("weight(" + GetQuery() + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(" + GetQuery() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.SetDescription("queryWeight(" + GetQuery() + "), 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
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.SetDescription("fieldWeight(" + GetQuery() + " in " + doc + "), product of:");
Scorer scorer = Scorer(reader, true, false);
if (scorer == null)
{
return(new Explanation(0.0f, "no matching docs"));
}
Explanation tfExpl = scorer.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]) : 1.0f;
fieldNormExpl.SetValue(fieldNorm);
fieldNormExpl.SetDescription("fieldNorm(field=" + Enclosing_Instance.field + ", doc=" + doc + ")");
fieldExpl.AddDetail(fieldNormExpl);
fieldExpl.SetMatch(tfExpl.IsMatch());
fieldExpl.SetValue(tfExpl.GetValue() * idfExpl.GetValue() * fieldNormExpl.GetValue());
result.AddDetail(fieldExpl);
System.Boolean?tempAux = fieldExpl.GetMatch();
result.SetMatch(tempAux);
// combine them
result.SetValue(queryExpl.GetValue() * fieldExpl.GetValue());
if (queryExpl.GetValue() == 1.0f)
{
return(fieldExpl);
}
return(result);
}
/// <summary>Creates a new instance by wrapping the given scorer. </summary>
public ScoreCachingWrappingScorer(Scorer scorer):base(scorer.GetSimilarity())
{
this.scorer = scorer;
}
/* Create the scorer used to score our associated DisjunctionMaxQuery */
public override Scorer Scorer(IndexReader reader, bool scoreDocsInOrder, bool topScorer)
{
Scorer[] scorers = new Scorer[weights.Count];
int idx = 0;
for (System.Collections.IEnumerator iter = weights.GetEnumerator(); iter.MoveNext(); )
{
Weight w = (Weight) iter.Current;
Scorer subScorer = w.Scorer(reader, true, false);
if (subScorer != null && subScorer.NextDoc() != DocIdSetIterator.NO_MORE_DOCS)
{
scorers[idx++] = subScorer;
}
}
if (idx == 0)
return null; // all scorers did not have documents
DisjunctionMaxScorer result = new DisjunctionMaxScorer(Enclosing_Instance.tieBreakerMultiplier, similarity, scorers, idx);
return result;
}
public override void SetScorer(Scorer scorer)
{
// score is not needed by this collector
}
public SubScorer(Scorer scorer, bool required, bool prohibited, Collector collector, SubScorer next)
{
this.scorer = scorer;
this.required = required;
this.prohibited = prohibited;
this.collector = collector;
this.next = next;
}
/// <summary>Sets the Scorer to use in case a document's score is
/// needed.
///
/// </summary>
/// <param name="scorer">Scorer instance that you should use to
/// obtain the current hit's score, if necessary.
/// </param>
public virtual void SetScorer(Scorer scorer)
{
// Empty implementation since most comparators don't need the score. This
// can be overridden by those that need it.
}
