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;
}
}
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;
}
}
internal int nrMatchers; // to be increased by score() of match counting scorers.
internal virtual void Init()
{
// use after all scorers have been added.
coordFactors = new float[maxCoord + 1];
Similarity sim = Enclosing_Instance.GetSimilarity();
for (int i = 0; i <= maxCoord; i++)
{
coordFactors[i] = sim.Coord(i, maxCoord);
}
}
public /*internal*/ BooleanScorer(Similarity similarity, int minNrShouldMatch, System.Collections.IList optionalScorers, System.Collections.IList prohibitedScorers) : base(similarity)
{
InitBlock();
this.minNrShouldMatch = minNrShouldMatch;
if (optionalScorers != null && optionalScorers.Count > 0)
{
for (System.Collections.IEnumerator si = optionalScorers.GetEnumerator(); si.MoveNext();)
{
Scorer scorer = (Scorer)si.Current;
maxCoord++;
if (scorer.NextDoc() != NO_MORE_DOCS)
{
scorers = new SubScorer(scorer, false, false, bucketTable.NewCollector(0), scorers);
}
}
}
if (prohibitedScorers != null && prohibitedScorers.Count > 0)
{
for (System.Collections.IEnumerator si = prohibitedScorers.GetEnumerator(); si.MoveNext();)
{
Scorer scorer = (Scorer)si.Current;
int mask = nextMask;
nextMask = nextMask << 1;
prohibitedMask |= mask; // update prohibited mask
if (scorer.NextDoc() != NO_MORE_DOCS)
{
scorers = new SubScorer(scorer, false, true, bucketTable.NewCollector(mask), scorers);
}
}
}
coordFactors = new float[maxCoord];
Similarity sim = GetSimilarity();
for (int i = 0; i < maxCoord; i++)
{
coordFactors[i] = sim.Coord(i, maxCoord - 1);
}
}
public override float Coord(int overlap, int maxOverlap)
{
return(delegee.Coord(overlap, maxOverlap));
}
public override Explanation Explain(IndexReader reader, int doc)
{
int minShouldMatch = Enclosing_Instance.GetMinimumNumberShouldMatch();
ComplexExplanation sumExpl = new ComplexExplanation();
sumExpl.SetDescription("sum of:");
int coord = 0;
int maxCoord = 0;
float sum = 0.0f;
bool fail = false;
int shouldMatchCount = 0;
for (System.Collections.IEnumerator wIter = weights.GetEnumerator(), cIter = Enclosing_Instance.clauses.GetEnumerator(); wIter.MoveNext();)
{
cIter.MoveNext();
Weight w = (Weight)wIter.Current;
BooleanClause c = (BooleanClause)cIter.Current;
if (w.Scorer(reader, true, true) == null)
{
continue;
}
Explanation e = w.Explain(reader, doc);
if (!c.IsProhibited())
{
maxCoord++;
}
if (e.IsMatch())
{
if (!c.IsProhibited())
{
sumExpl.AddDetail(e);
sum += e.GetValue();
coord++;
}
else
{
Explanation r = new Explanation(0.0f, "match on prohibited clause (" + c.GetQuery().ToString() + ")");
r.AddDetail(e);
sumExpl.AddDetail(r);
fail = true;
}
if (c.GetOccur() == Occur.SHOULD)
{
shouldMatchCount++;
}
}
else if (c.IsRequired())
{
Explanation r = new Explanation(0.0f, "no match on required clause (" + c.GetQuery().ToString() + ")");
r.AddDetail(e);
sumExpl.AddDetail(r);
fail = true;
}
}
if (fail)
{
System.Boolean tempAux = false;
sumExpl.SetMatch(tempAux);
sumExpl.SetValue(0.0f);
sumExpl.SetDescription("Failure to meet condition(s) of required/prohibited clause(s)");
return(sumExpl);
}
else if (shouldMatchCount < minShouldMatch)
{
System.Boolean tempAux2 = false;
sumExpl.SetMatch(tempAux2);
sumExpl.SetValue(0.0f);
sumExpl.SetDescription("Failure to match minimum number " + "of optional clauses: " + minShouldMatch);
return(sumExpl);
}
sumExpl.SetMatch(0 < coord?true:false);
sumExpl.SetValue(sum);
float coordFactor = similarity.Coord(coord, maxCoord);
if (coordFactor == 1.0f)
{
// coord is no-op
return(sumExpl);
}
// eliminate wrapper
else
{
ComplexExplanation result = new ComplexExplanation(sumExpl.IsMatch(), sum * coordFactor, "product of:");
result.AddDetail(sumExpl);
result.AddDetail(new Explanation(coordFactor, "coord(" + coord + "/" + maxCoord + ")"));
return(result);
}
}