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* http://www.apache.org/licenses/LICENSE-2.0
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package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.test.InternalAggregationTestCase;
import java.util.List;
import java.util.Map;
public class InternalTDigestPercentilesRanksTests extends InternalAggregationTestCase<InternalTDigestPercentileRanks> {
@Override
protected InternalTDigestPercentileRanks createTestInstance(String name, List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
double[] cdfValues = new double[] { 0.5 };
TDigestState state = new TDigestState(100);
int numValues = randomInt(100);
for (int i = 0; i < numValues; ++i) {
state.add(randomDouble());
}
boolean keyed = false;
DocValueFormat format = DocValueFormat.RAW;
return new InternalTDigestPercentileRanks(name, cdfValues, state, keyed, format, pipelineAggregators, metaData);
}
@Override
protected void assertReduced(InternalTDigestPercentileRanks reduced, List<InternalTDigestPercentileRanks> inputs) {
// it is hard to check the values due to the inaccuracy of the algorithm
// the min/max values should be accurate due to the way the algo works so we can at least test those
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
long totalCount = 0;
for (InternalTDigestPercentileRanks ranks : inputs) {
if (ranks.state.centroidCount() == 0) {
// quantiles would return NaN
continue;
}
totalCount += ranks.state.size();
min = Math.min(ranks.state.quantile(0), min);
max = Math.max(ranks.state.quantile(1), max);
}
assertEquals(totalCount, reduced.state.size());
if (totalCount > 0) {
assertEquals(reduced.state.quantile(0), min, 0d);
assertEquals(reduced.state.quantile(1), max, 0d);
}
}
@Override
protected Reader<InternalTDigestPercentileRanks> instanceReader() {
return InternalTDigestPercentileRanks::new;
}
}