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