/* * Licensed to Elasticsearch under one or more contributor * license agreements. See the NOTICE file distributed with * 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 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ package org.elasticsearch.search.aggregations.metrics.avg; import org.elasticsearch.common.io.stream.Writeable.Reader; import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator; import org.elasticsearch.test.InternalAggregationTestCase; 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); } }