| /* | |
| * Copyright (c) 2021, Oracle and/or its affiliates. All rights reserved. | |
| * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. | |
| * | |
| * This code is free software; you can redistribute it and/or modify it | |
| * under the terms of the GNU General Public License version 2 only, as | |
| * published by the Free Software Foundation. | |
| * | |
| * This code is distributed in the hope that it will be useful, but WITHOUT | |
| * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| * version 2 for more details (a copy is included in the LICENSE file that | |
| * accompanied this code). | |
| * | |
| * You should have received a copy of the GNU General Public License version | |
| * 2 along with this work; if not, write to the Free Software Foundation, | |
| * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. | |
| * | |
| * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA | |
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| */ | |
| /* | |
| * @test | |
| * @bug 8214761 | |
| * @run testng NegativeCompensation | |
| * @summary When combining two DoubleSummaryStatistics, the compensation | |
| * has to be subtracted. | |
| */ | |
| import java.util.DoubleSummaryStatistics; | |
| import org.testng.annotations.Test; | |
| import static org.testng.Assert.assertEquals; | |
| import static org.testng.Assert.assertTrue; | |
| public class NegativeCompensation { | |
| static final double VAL = 1.000000001; | |
| static final int LOG_ITER = 21; | |
| @Test | |
| public static void testErrorComparision() { | |
| DoubleSummaryStatistics stat0 = new DoubleSummaryStatistics(); | |
| DoubleSummaryStatistics stat1 = new DoubleSummaryStatistics(); | |
| DoubleSummaryStatistics stat2 = new DoubleSummaryStatistics(); | |
| stat1.accept(VAL); | |
| stat1.accept(VAL); | |
| stat2.accept(VAL); | |
| stat2.accept(VAL); | |
| stat2.accept(VAL); | |
| for (int i = 0; i < LOG_ITER; ++i) { | |
| stat1.combine(stat2); | |
| stat2.combine(stat1); | |
| } | |
| for (long i = 0, iend = stat2.getCount(); i < iend; ++i) { | |
| stat0.accept(VAL); | |
| } | |
| double res = 0; | |
| for(long i = 0, iend = stat2.getCount(); i < iend; ++i) { | |
| res += VAL; | |
| } | |
| double absErrN = Math.abs(res - stat2.getSum()); | |
| double absErr = Math.abs(stat0.getSum() - stat2.getSum()); | |
| assertTrue(absErrN >= absErr, | |
| "Naive sum error is not greater than or equal to Summary sum"); | |
| assertEquals(absErr, 0.0, "Absolute error is not zero"); | |
| } | |
| } |