/* * SPDX-License-Identifier: Apache-2.0 * * The OpenSearch Contributors require contributions made to * this file be licensed under the Apache-2.0 license or a * compatible open source license. */ /* * 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. */ /* * Modifications Copyright OpenSearch Contributors. See * GitHub history for details. */ package org.opensearch.search.aggregations.metrics; import org.opensearch.search.aggregations.InternalAggregation; import org.opensearch.search.aggregations.ParsedAggregation; import java.util.List; import static org.hamcrest.Matchers.equalTo; public abstract class InternalPercentilesTestCase extends AbstractPercentilesTestCase { @Override protected final void assertFromXContent(T aggregation, ParsedAggregation parsedAggregation) { assertTrue(parsedAggregation instanceof Percentiles); Percentiles parsedPercentiles = (Percentiles) parsedAggregation; for (Percentile percentile : aggregation) { Double percent = percentile.getPercent(); assertEquals(aggregation.percentile(percent), parsedPercentiles.percentile(percent), 0); assertEquals(aggregation.percentileAsString(percent), parsedPercentiles.percentileAsString(percent)); } Class parsedClass = implementationClass(); assertTrue(parsedClass != null && parsedClass.isInstance(parsedAggregation)); } public static double[] randomPercents() { List randomCdfValues = randomSubsetOf(randomIntBetween(1, 7), 0.01d, 0.05d, 0.25d, 0.50d, 0.75d, 0.95d, 0.99d); double[] percents = new double[randomCdfValues.size()]; for (int i = 0; i < randomCdfValues.size(); i++) { percents[i] = randomCdfValues.get(i); } return percents; } @Override protected void assertPercentile(T agg, Double value) { assertThat(agg.percentile(value), equalTo(Double.NaN)); assertThat(agg.percentileAsString(value), equalTo("NaN")); } }