}
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile99(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *
 * where {@link #percentiles()} has been statically imported.
 *
 * <p>To compute median and the 90th and 99th percentiles:
 *
 * {@snippet :
 * Map<Integer, Double> myPercentiles =
 *     percentiles().indexes(50, 90, 99).compute(myDataset);
 * }
 *

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {

        regA(builder);
        return builder;
    }

    protected PercentilesAggregationBuilder regPercentilesA(String name, String field) {
        PercentilesAggregationBuilder builder = AggregationBuilders.percentiles(name).field(field);
        regA(builder);
        return builder;
    }

    protected PercentileRanksAggregationBuilder regPercentileRanksA(String name, String field, double[] values) {