Examples of org.apache.lucene.search.Scorer$ScorerVisitor

org.apache.lucene.search.Scorer
A callback to gather information from a scorer and its sub-scorers. Each the top-level scorer as well as each of its sub-scorers are passed to either one of the visit methods depending on their boolean relationship in the query. @lucene.experimental

      @Override
      public BulkScorer bulkScorer(AtomicReaderContext context, boolean scoreDocsInOrder, Bits acceptDocs) throws IOException {


        // TODO: it could be better if we take acceptDocs
        // into account instead of baseScorer?
        Scorer baseScorer = baseWeight.scorer(context, acceptDocs);


        DrillSidewaysScorer.DocsAndCost[] dims = new DrillSidewaysScorer.DocsAndCost[drillDowns.length];
        int nullCount = 0;
        for(int dim=0;dim<dims.length;dim++) {
          dims[dim] = new DrillSidewaysScorer.DocsAndCost();

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    public ScoreValueSource() {
    }


    @Override
    public FunctionValues getValues(@SuppressWarnings("rawtypes") Map context, AtomicReaderContext readerContext) throws IOException {
      final Scorer scorer = (Scorer) context.get("scorer");
      if (scorer == null) {
        throw new IllegalStateException("scores are missing; be sure to pass keepScores=true to FacetsCollector");
      }
      return new DoubleDocValues(this) {
        @Override
        public double doubleVal(int document) {
          try {
            return scorer.score();
          } catch (IOException exception) {
            throw new RuntimeException(exception);
          }
        }
      };

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    DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);


    ValueSource valueSource = new ValueSource() {
      @Override
      public FunctionValues getValues(@SuppressWarnings("rawtypes") Map context, AtomicReaderContext readerContext) throws IOException {
        final Scorer scorer = (Scorer) context.get("scorer");
        assert scorer != null;
        return new DoubleDocValues(this) {
          @Override
          public double doubleVal(int document) {
            try {
              return scorer.score();
            } catch (IOException exception) {
              throw new RuntimeException(exception);
            }
          }
        };

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          return 0.0f;
        }
      };
  
      final Similarity oldSim = searcher.getSimilarity();
      Scorer spanScorer;
      try {
        searcher.setSimilarity(sim);
        SpanNearQuery snq = new SpanNearQuery(
                                new SpanQuery[] {
                                  makeSpanTermQuery("t1"),
                                  makeSpanTermQuery("t2") },
                                slop,
                                ordered);
  
        spanScorer = searcher.createNormalizedWeight(snq).scorer(ctx, ctx.reader().getLiveDocs());
      } finally {
        searcher.setSimilarity(oldSim);
      }
      if (i == subIndex) {
        assertTrue("first doc", spanScorer.nextDoc() != DocIdSetIterator.NO_MORE_DOCS);
        assertEquals("first doc number", spanScorer.docID() + ctx.docBase, 11);
        float score = spanScorer.score();
        assertTrue("first doc score should be zero, " + score, score == 0.0f);
      }  else {
        assertTrue("no second doc", spanScorer.nextDoc() == DocIdSetIterator.NO_MORE_DOCS);
      }
    }
  }

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  public void testSpanNearScorerSkipTo1() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = searcher.createNormalizedWeight(q);
    IndexReaderContext topReaderContext = searcher.getTopReaderContext();
    AtomicReaderContext leave = topReaderContext.leaves().get(0);
    Scorer s = w.scorer(leave, leave.reader().getLiveDocs());
    assertEquals(1, s.advance(1));
  }

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      }
    }


    /*(non-Javadoc) @see org.apache.lucene.search.Weight#scorer(org.apache.lucene.index.IndexReader) */
    public Scorer scorer(IndexReader reader) throws IOException {
      Scorer subQueryScorer = subQueryWeight.scorer(reader);
      Scorer[] valSrcScorers = new Scorer[valSrcWeights.length];
      for(int i = 0; i < valSrcScorers.length; i++) {
         valSrcScorers[i] = valSrcWeights[i].scorer(reader);
      }
      return new CustomScorer(similarity, reader, this, subQueryScorer, valSrcScorers);

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    while(iter.hasNext()) {
      Entry entry = (Entry) iter.next();
      Query query = (Query) entry.getKey();
      int limit = ((Integer) entry.getValue()).intValue();
      Weight weight = query.weight(searcher);
      Scorer scorer = weight.scorer(reader);
      while(scorer.next()) {
        final int docID = scorer.doc();
        if (docIDStart + docID >= limit)
          break;
        reader.deleteDocument(docID);
        any = true;
      }

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   * this causes problems
   */
  public void testSpanNearScorerSkipTo1() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = q.createWeight(searcher);
    Scorer s = w.scorer(searcher.getIndexReader());
    assertEquals(true, s.skipTo(1));
    assertEquals(1, s.doc());
  }

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   * this causes problems
   */
  public void testSpanNearScorerExplain() throws Exception {
    SpanNearQuery q = makeQuery();
    Weight w = q.createWeight(searcher);
    Scorer s = w.scorer(searcher.getIndexReader());
    Explanation e = s.explain(1);
    assertTrue("Scorer explanation value for doc#1 isn't positive: "
               + e.toString(),
               0.0f < e.getValue());
  }

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      public Similarity getSimilarity(Searcher s) {
        return sim;
      }
    };


    Scorer spanScorer = snq.weight(searcher).scorer(searcher.getIndexReader());


    assertTrue("first doc", spanScorer.next());
    assertEquals("first doc number", spanScorer.doc(), 11);
    float score = spanScorer.score();
    assertTrue("first doc score should be zero, " + score, score == 0.0f);
    assertTrue("no second doc", ! spanScorer.next());
  }

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