Package it.unimi.dsi.fastutil.longs

Examples of it.unimi.dsi.fastutil.longs.LongOpenHashSet.clear()

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        recs = recommender.recommend(5, null);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(9L, 7L, 6L));

        candidates.clear();
        candidates.add(6);
        candidates.add(7);
        recs = recommender.recommend(5, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(6L, 7L));
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        candidates.add(7);
        recs = recommender.recommend(5, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(6L, 7L));

        candidates.clear();
        candidates.add(6);
        candidates.add(9);
        recs = recommender.recommend(5, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(6L, 9L));
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        recs = recommender.recommend(5, -1, candidates, null);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(7L, 9L));

        candidates.add(6);
        exclude.clear();
        exclude.add(9);
        recs = recommender.recommend(5, -1, candidates, exclude);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(6L, 7L));
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        candidates.add(9);

        List<ScoredId> recs = recommender.recommend(1, candidates);
        assertTrue(recs.isEmpty());

        candidates.clear();
        candidates.add(9);
        recs = recommender.recommend(2, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(9L));
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        candidates.add(9);
        recs = recommender.recommend(2, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   containsInAnyOrder(9L));

        candidates.clear();
        candidates.add(6);
        candidates.add(7);
        candidates.add(8);
        recs = recommender.recommend(2, candidates);
        assertTrue(recs.isEmpty());
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        recs = recommender.recommend(2, null);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
                   contains(9L));

        candidates.clear();
        candidates.add(7);
        candidates.add(8);
        candidates.add(9);
        recs = recommender.recommend(2, candidates);
        assertThat(Lists.transform(recs, ScoredIds.idFunction()),
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      if ( numberOfPairs == indexIterator.length ) flatIndexIterator = indexIterator;
      else {
        /* We must compact the array, eliminating zero-frequency iterators. */
        flatIndexIterator = new IndexIterator[ numberOfPairs ];
        alreadySeen.clear();
        for( int i = 0, p = 0; i != indexIterator.length; i++ )
          if ( indexIterator[ i ].frequency() != 0 &&  alreadySeen.add( indexIterator[ i ].termNumber() ) ) flatIndexIterator[ p++ ] = indexIterator[ i ];
      }

      if ( flatIndexIterator.length != 0 ) {
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      if ( numberOfPairs == indexIterator.length ) flatIndexIterator = indexIterator;
      else {
        /* We must compact the array, eliminating zero-frequency iterators. */
        flatIndexIterator = new IndexIterator[ numberOfPairs ];
        alreadySeen.clear();
        for( int i = 0, p = 0; i != indexIterator.length; i++ )
          if ( indexIterator[ i ].frequency() != 0 &&  alreadySeen.add( indexIterator[ i ].termNumber() ) ) flatIndexIterator[ p++ ] = indexIterator[ i ];
      }

      if ( flatIndexIterator.length != 0 ) {
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