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 * this work for additional information regarding copyright
 * ownership. Elasticsearch licenses this file to you under
 * the Apache License, Version 2.0 (the "License"); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
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package org.elasticsearch.search.aggregations.metrics.avg;

import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregationTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;

import java.util.List;
import java.util.Map;

public class InternalAvgTests extends InternalAggregationTestCase<InternalAvg> {

    @Override
    protected InternalAvg createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
        return new InternalAvg(name, randomDoubleBetween(0, 100000, true), randomNonNegativeLong() % 100000,
                randomNumericDocValueFormat(), pipelineAggregators, metaData);
    }

    @Override
    protected Reader<InternalAvg> instanceReader() {
        return InternalAvg::new;
    }

    @Override
    protected void assertReduced(InternalAvg reduced, List<InternalAvg> inputs) {
        double sum = 0;
        long counts = 0;
        for (InternalAvg in : inputs) {
            sum += in.getSum();
            counts += in.getCount();
        }
        assertEquals(counts, reduced.getCount());
        assertEquals(sum, reduced.getSum(), 0.0000001);
        assertEquals(sum / counts, reduced.value(), 0.0000001);
    }
}
