cf64c3e7e2
Reviewed-by: rriggs, bpb
207 lines
6.8 KiB
Java
207 lines
6.8 KiB
Java
/*
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* Copyright (c) 2012, 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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import java.util.ArrayList;
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import java.util.List;
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import java.util.random.*;
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import java.util.Set;
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import java.util.concurrent.CompletableFuture;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ThreadLocalRandom;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.TimeoutException;
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import java.util.function.DoubleSupplier;
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import java.util.stream.Stream;
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import static java.util.stream.Collectors.toList;
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import static java.util.stream.Collectors.toSet;
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/**
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* @test
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* @summary test bit sequences produced by clases that implement interface RandomGenerator
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* @bug 8248862
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* @run main RandomTestMoments
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* @author Guy Steele
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* @key randomness
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*/
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public class RandomTestMoments {
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static String currentRNG = "";
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static int failCount = 0;
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static void exceptionOnFail() {
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if (failCount != 0) {
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throw new RuntimeException(failCount + " fails detected");
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}
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}
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static void setRNG(String rng) {
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currentRNG = rng;
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}
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static void fail(String format, Object... args) {
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if (currentRNG.length() != 0) {
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System.err.println(currentRNG);
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currentRNG = "";
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}
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System.err.format(" " + format, args);
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failCount++;
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}
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static final int SEQUENCE_SIZE = 50000;
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// Moment k of uniform distribution over [0.0,1.0) is 1.0/(1+k).
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static double[][] momentsUniform = {
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{ 1.00000, 1.00000, 0.01000 },
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{ 0.500000, 0.500000, 0.0266265 },
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{ 0.333333, 0.333333, 0.0391128 },
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{ 0.250000, 0.250000, 0.0477151 },
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{ 0.200000, 0.200000, 0.0540496 },
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{ 0.166667, 0.166667, 0.0589355 },
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{ 0.142857, 0.142857, 0.0628462 },
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{ 0.125000, 0.125000, 0.0660693 },
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{ 0.111111, 0.111111, 0.0688036 },
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{ 0.100000, 0.100000, 0.0712002 },
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{ 0.0909091, 0.0909091, 0.0733755 },
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{ 0.0833333, 0.0833333, 0.0754172 },
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{ 0.0769231, 0.0769231, 0.0773868 },
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{ 0.0714286, 0.0714286, 0.0793244 },
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{ 0.0666667, 0.0666667, 0.0812526 },
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{ 0.0625000, 0.0625000, 0.0831806 },
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};
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// Moment k of exponential distribution with mean 1 is k!.
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static double[][] momentsExponential = {
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{ 1.00000, 1.00000, 0.01000 },
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{ 1.00000, 1.00000, 0.0718997 },
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{ 2.00000, 2.00000, 0.153241 },
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{ 6.00000, 6.00000, 0.282813 },
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{ 24.0000, 24.0000, 0.503707 },
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};
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// Absolute moment k of Gaussian distribution with mean 0 and stddev 1 is
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// pow(2.0,k/2.0)*gamma((k+1)/2.0)/sqrt(PI)
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// https://arxiv.org/pdf/1209.4340.pdf, equation (18)
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static double[][] absoluteMomentsGaussian = {
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{ 1.00000, 1.00000, 0.01 },
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{ 0.797885, 0.797885, 0.1 },
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{ 1.00000, 1.00000, 0.1 },
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{ 1.59577, 1.59577, 0.2 },
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{ 3.00000, 3.00000, 0.2 },
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{ 6.38308, 6.38308, 0.2 },
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{ 15.0000, 15.0000, 0.2 },
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{ 38.2985, 38.2985, 0.2 },
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{ 105.000, 105.000, 0.4 },
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};
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static void checkMoments(String test, double[] measurements, double[][] standard) {
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for (int j = 0; j < measurements.length; j++) {
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double actual = measurements[j];
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double expected = standard[j][0];
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double basis = standard[j][1];
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double tolerance = standard[j][2];
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if (!(Math.abs(actual - expected)/basis < tolerance)) {
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fail("%s fail: actual=%f, expected=%f, basis=%f, tolerance=%f\n",
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test, actual, expected, basis, tolerance);
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}
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}
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}
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static void testMomentsGaussian(DoubleSupplier theSupplier) {
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int m = absoluteMomentsGaussian.length;
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double[] absoluteMoments = new double[m];
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for (int j = 0; j < SEQUENCE_SIZE; j++) {
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double v = theSupplier.getAsDouble();
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double z = 1.0;
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for (int k = 0; k < m; k++) {
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absoluteMoments[k] += Math.abs(z);
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z *= v;
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}
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}
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for (int k = 0; k < m; k++) {
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absoluteMoments[k] /= SEQUENCE_SIZE;
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}
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checkMoments("Gaussian", absoluteMoments, absoluteMomentsGaussian);
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}
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static void testMomentsExponential(DoubleSupplier theSupplier) {
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int m = momentsExponential.length;
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double[] moments = new double[m];
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for (int j = 0; j < SEQUENCE_SIZE; j++) {
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double v = theSupplier.getAsDouble();
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double z = 1.0;
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for (int k = 0; k < m; k++) {
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moments[k] += z;
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z *= v;
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}
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}
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for (int k = 0; k < m; k++) {
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moments[k] /= SEQUENCE_SIZE;
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}
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checkMoments("Exponential", moments, momentsExponential);
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}
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static void testMomentsUniform(DoubleSupplier theSupplier) {
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int m = momentsUniform.length;
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double[] moments = new double[m];
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for (int j = 0; j < SEQUENCE_SIZE; j++) {
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double v = theSupplier.getAsDouble();
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double z = 1.0;
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for (int k = 0; k < m; k++) {
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moments[k] += z;
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z *= v;
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}
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}
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for (int k = 0; k < m; k++) {
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moments[k] /= SEQUENCE_SIZE;
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}
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checkMoments("Uniform", moments, momentsUniform);
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}
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static void testOneRng(RandomGenerator rng) {
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testMomentsGaussian(rng::nextGaussian);
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testMomentsExponential(rng::nextExponential);
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testMomentsUniform(rng::nextDouble);
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testMomentsUniform(rng.doubles().iterator()::next);
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}
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public static void main(String[] args) {
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RandomGeneratorFactory.all()
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.filter(f -> !f.name().equals("SecureRandom"))
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.forEach(factory -> {
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setRNG(factory.name());
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testOneRng(factory.create(325) );
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});
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exceptionOnFail();
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}
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}
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