b8367b252f
Factor out G1 prediction code from G1CollectorPolicy into its own class, constify methods of G1CollectorPolicy and move more implementations to the cpp file. Reviewed-by: jmasa, sangheki, ecaspole, kbarrett
99 lines
3.7 KiB
C++
99 lines
3.7 KiB
C++
/*
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* Copyright (c) 2015, 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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#include "precompiled.hpp"
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#include "gc/g1/g1Predictions.hpp"
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#ifndef PRODUCT
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void G1Predictions::test() {
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double const epsilon = 1e-6;
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{
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// Some basic formula tests with confidence = 0.0
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G1Predictions predictor(0.0);
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TruncatedSeq s;
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double p0 = predictor.get_new_prediction(&s);
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assert(p0 < epsilon, "Initial prediction of empty sequence must be 0.0 but is %f", p0);
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s.add(5.0);
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double p1 = predictor.get_new_prediction(&s);
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assert(fabs(p1 - 5.0) < epsilon, "Prediction should be 5.0 but is %f", p1);
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for (int i = 0; i < 40; i++) {
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s.add(5.0);
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}
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double p2 = predictor.get_new_prediction(&s);
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assert(fabs(p2 - 5.0) < epsilon, "Prediction should be 5.0 but is %f", p1);
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}
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{
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// The following tests checks that the initial predictions are based on the
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// average of the sequence and not on the stddev (which is 0).
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G1Predictions predictor(0.5);
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TruncatedSeq s;
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s.add(1.0);
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double p1 = predictor.get_new_prediction(&s);
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assert(p1 > 1.0, "First prediction must be larger than average, but avg is %f and prediction %f", s.davg(), p1);
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s.add(1.0);
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double p2 = predictor.get_new_prediction(&s);
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assert(p2 < p1, "First prediction must be larger than second, but they are %f %f", p1, p2);
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s.add(1.0);
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double p3 = predictor.get_new_prediction(&s);
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assert(p3 < p2, "Second prediction must be larger than third, but they are %f %f", p2, p3);
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s.add(1.0);
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s.add(1.0); // Five elements are now in the sequence.
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double p5 = predictor.get_new_prediction(&s);
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assert(p5 < p3, "Fifth prediction must be smaller than third, but they are %f %f", p3, p5);
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assert(fabs(p5 - 1.0) < epsilon, "Prediction must be 1.0+epsilon, but is %f", p5);
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}
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{
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// The following tests checks that initially prediction based on the average is
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// used, that gets overridden by the stddev prediction at the end.
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G1Predictions predictor(0.5);
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TruncatedSeq s;
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s.add(0.5);
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double p1 = predictor.get_new_prediction(&s);
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assert(p1 > 0.5, "First prediction must be larger than average, but avg is %f and prediction %f", s.davg(), p1);
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s.add(0.2);
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double p2 = predictor.get_new_prediction(&s);
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assert(p2 < p1, "First prediction must be larger than second, but they are %f %f", p1, p2);
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s.add(0.5);
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double p3 = predictor.get_new_prediction(&s);
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assert(p3 < p2, "Second prediction must be larger than third, but they are %f %f", p2, p3);
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s.add(0.2);
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s.add(2.0);
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double p5 = predictor.get_new_prediction(&s);
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assert(p5 > p3, "Fifth prediction must be bigger than third, but they are %f %f", p3, p5);
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}
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}
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void TestPredictions_test() {
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G1Predictions::test();
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}
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#endif
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