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PojavLauncherTeam
GitHub Repository: PojavLauncherTeam/openjdk-multiarch-jdk8u
Path: blob/aarch64-shenandoah-jdk8u272-b10/hotspot/test/gc/shenandoah/options/TestHumongousMoves.java
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/*
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* Copyright (c) 2016, 2018, Red Hat, Inc. All rights reserved.
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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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/*
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* @test TestHumongousMoves
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* @summary Check Shenandoah reacts on setting humongous moves correctly
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* @key gc
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*
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* @run main/othervm -XX:+UnlockDiagnosticVMOptions -XX:+UnlockExperimentalVMOptions -Xmx1g -Xms1g
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* -XX:+UseShenandoahGC -XX:ShenandoahGCMode=passive
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* -XX:-ShenandoahHumongousMoves
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* -XX:-ShenandoahDegeneratedGC -XX:+ShenandoahVerify
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* TestHumongousMoves
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*
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* @run main/othervm -XX:+UnlockDiagnosticVMOptions -XX:+UnlockExperimentalVMOptions -Xmx1g -Xms1g
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* -XX:+UseShenandoahGC -XX:ShenandoahGCMode=passive
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* -XX:+ShenandoahHumongousMoves
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* -XX:-ShenandoahDegeneratedGC -XX:+ShenandoahVerify
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* TestHumongousMoves
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*/
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import java.util.Random;
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public class TestHumongousMoves {
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static final long TARGET_MB = Long.getLong("target", 10_000); // 10 Gb allocation
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static volatile Object sink;
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public static void main(String[] args) throws Exception {
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final int min = 0;
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final int max = 384 * 1024;
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long count = TARGET_MB * 1024 * 1024 / (16 + 4 * (min + (max - min) / 2));
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Random r = new Random();
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for (long c = 0; c < count; c++) {
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sink = new int[min + r.nextInt(max - min)];
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}
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}
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}
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