Examples of org.apache.lucene.search.Weight.scorer()

org.apache.lucene.search.Weight.scorer()
Returns a {@link Scorer} which scores documents in/out-of order accordingto scoreDocsInOrder.
NOTE: even if scoreDocsInOrder is false, it is recommended to check whether the returned Scorer indeed scores documents out of order (i.e., call {@link #scoresDocsOutOfOrder()}), as some Scorer implementations will always return documents in-order.
NOTE: null can be returned if no documents will be scored by this query. @param context the {@link AtomicReaderContext} for which to return the {@link Scorer}. @param scoreDocsInOrder specifies whether in-order scoring of documents is required. Note that if set to false (i.e., out-of-order scoring is required), this method can return whatever scoring mode it supports, as every in-order scorer is also an out-of-order one. However, an out-of-order scorer may not support {@link Scorer#nextDoc()}and/or {@link Scorer#advance(int)}, therefore it is recommended to request an in-order scorer if use of these methods is required. @param topScorer if true, {@link Scorer#score(Collector)} will be called; if false,{@link Scorer#nextDoc()} and/or {@link Scorer#advance(int)} willbe called. @param acceptDocs Bits that represent the allowable docs to match (typically deleted docs but possibly filtering other documents) @return a {@link Scorer} which scores documents in/out-of order. @throws IOException if there is a low-level I/O error

    IndexSearcher searcher = new IndexSearcher(reader);
    for (Entry<Query, Integer> entry : deletesFlushed.queries.entrySet()) {
      Query query = entry.getKey();
      int limit = entry.getValue().intValue();
      Weight weight = query.weight(searcher);
      Scorer scorer = weight.scorer(reader, true, false);
      if (scorer != null) {
        while(true)  {
          int doc = scorer.nextDoc();
          if (((long) docIDStart) + doc >= limit)
            break;

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        // Sort drill-downs by most restrictive first:
        Arrays.sort(dims);


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


        if (baseScorer == null) {
          return null;
        }

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    segmentReader = new SegmentReader(segmentInfo, USE_TERM_INFO, IOContext.READ);




    IndexSearcher searcher = new IndexSearcher(segmentReader);
    Weight weight = lucene2SeqConfiguration.getQuery().createWeight(searcher);
    scorer = weight.scorer(segmentReader.getContext(), false, false, null);
    if (scorer == null) {
      throw new IllegalArgumentException("Could not create query scorer for query: "
          + lucene2SeqConfiguration.getQuery());
    }
  }

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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());
  }
  /**
   * not a direct test of NearSpans, but a demonstration of how/when

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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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        // Sort drill-downs by most restrictive first:
        Arrays.sort(dims);


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


        if (baseScorer == null) {
          return null;
        }

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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());
  }
  /**
   * not a direct test of NearSpans, but a demonstration of how/when

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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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    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);

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        // Sort drill-downs by most restrictive first:
        Arrays.sort(dims);


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


        if (baseScorer == null) {
          return null;
        }

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