public Explanation explain(IndexReader reader, int doc) throws IOException {
ComplexExplanation result = new ComplexExplanation();
result.setDescription("weight(" + getQuery() + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(docFreq=" + reader.docFreq(term) + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.setDescription("queryWeight(" + getQuery() + "), product of:");
Explanation boostExpl = new Explanation(getBoost(), "boost");
if (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
String field = term.field();
ComplexExplanation fieldExpl = new ComplexExplanation();
fieldExpl.setDescription("fieldWeight(" + term + " 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.setMatch(Boolean.valueOf(tfExpl.isMatch()));
fieldExpl.setValue(tfExpl.getValue() * idfExpl.getValue() * fieldNormExpl.getValue());
result.addDetail(fieldExpl);
result.setMatch(fieldExpl.getMatch());
// combine them
result.setValue(queryExpl.getValue() * fieldExpl.getValue());
if (queryExpl.getValue() == 1.0f) return fieldExpl;
return result;
}
@Override
public Explanation explain(AtomicReaderContext context, int doc) throws IOException {
Scorer scorer = scorer(context, true, false, context.reader().getLiveDocs());
if (scorer != null) {
int newDoc = scorer.advance(doc);
if (newDoc == doc) {
float freq = scorer.freq();
SloppySimScorer docScorer = similarity.sloppySimScorer(stats, context);
ComplexExplanation result = new ComplexExplanation();
result.setDescription(
"weight("
+ getQuery()
+ " in "
+ doc
+ ") ["
+ similarity.getClass().getSimpleName()
+ "], result of:");
Explanation scoreExplanation =
docScorer.explain(doc, new Explanation(freq, "phraseFreq=" + freq));
result.addDetail(scoreExplanation);
result.setValue(scoreExplanation.getValue());
result.setMatch(true);
return result;
}
}
return new ComplexExplanation(false, 0.0f, "no matching term");
}
@Override
public Explanation explain(AtomicReaderContext context, int doc) throws IOException {
final Scorer cs = scorer(context, true, false, context.reader().getLiveDocs());
final boolean exists = (cs != null && cs.advance(doc) == doc);
final ComplexExplanation result = new ComplexExplanation();
if (exists) {
result.setDescription(ImageFeatureScoreQuery.this.toString() + ", product of:");
result.setValue(queryWeight);
result.setMatch(Boolean.TRUE);
result.addDetail(new Explanation(getBoost(), "boost"));
result.addDetail(new Explanation(queryNorm, "queryNorm"));
} else {
result.setDescription(ImageFeatureScoreQuery.this.toString() + " doesn't match id " + doc);
result.setValue(0);
result.setMatch(Boolean.FALSE);
}
return result;
}
public Explanation explain(IndexReader reader, int doc) throws IOException {
ConstantScorer cs = (ConstantScorer) scorer(reader);
boolean exists = cs.docIdSetIterator.skipTo(doc) && (cs.docIdSetIterator.doc() == doc);
ComplexExplanation result = new ComplexExplanation();
if (exists) {
result.setDescription("ConstantScoreQuery(" + filter + "), product of:");
result.setValue(queryWeight);
result.setMatch(Boolean.TRUE);
result.addDetail(new Explanation(getBoost(), "boost"));
result.addDetail(new Explanation(queryNorm, "queryNorm"));
} else {
result.setDescription("ConstantScoreQuery(" + filter + ") doesn't match id " + doc);
result.setValue(0);
result.setMatch(Boolean.FALSE);
}
return result;
}
@Override
public Explanation explain(IndexReader reader, int doc) throws IOException {
ConstantScorer cs = new ConstantScorer(similarity, reader, this);
boolean exists = cs._innerIter.advance(doc) == doc;
ComplexExplanation result = new ComplexExplanation();
if (exists) {
result.setDescription("ConstantScoreQuery(" + filter + "), product of:");
result.setValue(queryWeight);
result.setMatch(Boolean.TRUE);
result.addDetail(new Explanation(getBoost(), "boost"));
result.addDetail(new Explanation(queryNorm, "queryNorm"));
} else {
result.setDescription("ConstantScoreQuery(" + filter + ") doesn't match id " + doc);
result.setValue(0);
result.setMatch(Boolean.FALSE);
}
return result;
}
@Override
public Explanation explain(AtomicReaderContext context, int doc) throws IOException {
Scorer scorer = scorer(context, context.reader().getLiveDocs());
if (scorer != null) {
int newDoc = scorer.advance(doc);
if (newDoc == doc) {
float score = scorer.score();
ComplexExplanation result = new ComplexExplanation();
result.setDescription("ImageHashLimitQuery, product of:");
result.setValue(score);
if (getBoost() != 1.0f) {
result.addDetail(new Explanation(getBoost(), "boost"));
score = score / getBoost();
}
result.addDetail(new Explanation(score, "image score (1/distance)"));
result.setMatch(true);
return result;
}
}
return new ComplexExplanation(false, 0.0f, "no matching term");
}
/** Explain the score we computed for doc */
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
if (disjuncts.size() == 1) return weights.get(0).explain(context, doc);
ComplexExplanation result = new ComplexExplanation();
float max = 0.0f, sum = 0.0f;
result.setDescription(
tieBreakerMultiplier == 0.0f
? "max of:"
: "max plus " + tieBreakerMultiplier + " times others of:");
for (Weight wt : weights) {
Explanation e = wt.explain(context, doc);
if (e.isMatch()) {
result.setMatch(Boolean.TRUE);
result.addDetail(e);
sum += e.getValue();
max = Math.max(max, e.getValue());
}
}
result.setValue(max + (sum - max) * tieBreakerMultiplier);
return result;
}
@Override
public Explanation explain(AtomicReaderContext context, int doc) throws IOException {
ComplexExplanation result = new ComplexExplanation();
result.setDescription("weight(" + getQuery() + " in " + doc + "), product of:");
Explanation idfExpl = new Explanation(idf, "idf(" + field + ":" + idfExp.explain() + ")");
// explain query weight
Explanation queryExpl = new Explanation();
queryExpl.setDescription("queryWeight(" + getQuery() + "), product of:");
Explanation boostExpl = new Explanation(getBoost(), "boost");
if (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(context, ScorerContext.def());
if (scorer == null) {
return new Explanation(0.0f, "no matching docs");
}
Explanation tfExplanation = new Explanation();
int d = scorer.advance(doc);
float phraseFreq;
if (d == doc) {
phraseFreq = scorer.freq();
} else {
phraseFreq = 0.0f;
}
tfExplanation.setValue(similarity.tf(phraseFreq));
tfExplanation.setDescription("tf(phraseFreq=" + phraseFreq + ")");
fieldExpl.addDetail(tfExplanation);
fieldExpl.addDetail(idfExpl);
Explanation fieldNormExpl = new Explanation();
byte[] fieldNorms = context.reader.norms(field);
float fieldNorm = fieldNorms != null ? similarity.decodeNormValue(fieldNorms[doc]) : 1.0f;
fieldNormExpl.setValue(fieldNorm);
fieldNormExpl.setDescription("fieldNorm(field=" + field + ", doc=" + doc + ")");
fieldExpl.addDetail(fieldNormExpl);
fieldExpl.setMatch(Boolean.valueOf(tfExplanation.isMatch()));
fieldExpl.setValue(tfExplanation.getValue() * idfExpl.getValue() * fieldNormExpl.getValue());
result.addDetail(fieldExpl);
result.setMatch(fieldExpl.getMatch());
// combine them
result.setValue(queryExpl.getValue() * fieldExpl.getValue());
if (queryExpl.getValue() == 1.0f) return fieldExpl;
return result;
}