/* * Copyright (c) 2023, 2024, 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 * or visit www.oracle.com if you need additional information or have any * questions. */ /* * @test * @bug 8301202 * @key randomness * @library /test/lib * @build jdk.test.lib.RandomFactory * @build Tests * @build FdlibmTranslit * @build LogTests * @run main LogTests * @summary Tests for StrictMath.log */ import jdk.test.lib.RandomFactory; public class LogTests { private LogTests(){} public static void main(String... args) { int failures = 0; failures += testLog(); failures += testAgainstTranslit(); if (failures > 0) { System.err.println("Testing log incurred " + failures + " failures."); throw new RuntimeException(); } } static int testLogCase(double input, double expected) { return Tests.test("StrictMath.log(double)", input, StrictMath::log, expected); } // Inputs where Math.log and StrictMath.log differ for at least // one Math.log implementation. static int testLog() { int failures = 0; double [][] testCases = { {0x1.000000089cd6fp-43, -0x1.dce2a0697a102p4}, {0x1.0000000830698p182, 0x1.f89c7428dd67ap6}, {0x1.0000000744b3ap632, 0x1.b611ab2bd53cep8}, {0x1.000000037d81fp766, 0x1.0979b1dbc4a42p9}, {0x1.000000024028p991, 0x1.577455642bb92p9}, // Empirical worst-case points {0x1.0ffea3878db6bp+0, 0x1.f07a0cca521fp-5}, {0x1.490af72a25a81p-1, -0x1.c4bf7ae48f078p-2}, {0x1.69e7aa6da2df5p-1, -0x1.634508c9adfp-2}, }; for (double[] testCase: testCases) failures+=testLogCase(testCase[0], testCase[1]); return failures; } // Initialize shared random number generator private static java.util.Random random = RandomFactory.getRandom(); /** * Test StrictMath.log against transliteration port of log. */ private static int testAgainstTranslit() { int failures = 0; double x; // Test just above subnormal threshold... x = Double.MIN_NORMAL; failures += testRange(x, Math.ulp(x), 1000); // ... and just below subnormal threshold ... x = Math.nextDown(Double.MIN_NORMAL); failures += testRange(x, -Math.ulp(x), 1000); // Probe near decision points in the FDLIBM algorithm. double[] decisionPoints = { 0x1.0p-1022, 0x1.0p-20, }; for (double testPoint : decisionPoints) { failures += testRangeMidpoint(testPoint, Math.ulp(testPoint), 1000); } x = Tests.createRandomDouble(random); // Make the increment twice the ulp value in case the random // value is near an exponent threshold. Don't worry about test // elements overflowing to infinity if the starting value is // near Double.MAX_VALUE. failures += testRange(x, 2.0 * Math.ulp(x), 1000); return failures; } private static int testRange(double start, double increment, int count) { int failures = 0; double x = start; for (int i = 0; i < count; i++, x += increment) { failures += testLogCase(x, FdlibmTranslit.log(x)); } return failures; } private static int testRangeMidpoint(double midpoint, double increment, int count) { int failures = 0; double x = midpoint - increment*(count / 2) ; for (int i = 0; i < count; i++, x += increment) { failures += testLogCase(x, FdlibmTranslit.log(x)); } return failures; } }