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23 results

Tests.java

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  • user avatar
    Goetz Lindenmaier authored
    Backport-of: 40a2ce20334207b542d18f52e26bf418bf29c9ca
    3762bd0a
    History
    Tests.java 3.80 KiB
    /*
     * Copyright (c) 2003, 2022, 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.
     */
    
    import java.util.function.DoubleBinaryOperator;
    import java.util.function.DoubleUnaryOperator;
    
    /*
     * Shared static test method for StrictMath tests.
     */
    
    public class Tests {
        private Tests(){}
    
        public static int test(String testName,
                               double input,
                               DoubleUnaryOperator func,
                               double expected) {
            return test(testName, input, func.applyAsDouble(input), expected);
        }
    
        public static int test(String testName,
                               double input,
                               double result,
                               double expected) {
            if (Double.compare(expected, result ) != 0) {
                System.err.println("Failure for " + testName + ":\n" +
                                   "\tFor input "   + input    + "\t(" + Double.toHexString(input) + ")\n" +
                                   "\texpected  " + expected + "\t(" + Double.toHexString(expected) + ")\n" +
                                   "\tgot       " + result   + "\t(" + Double.toHexString(result) + ").");
                return 1;
            } else {
                return 0;
            }
        }
    
        public static int test(String testName,
                               double input1,
                               double input2,
                               DoubleBinaryOperator func,
                               double expected) {
            return test(testName, input1, input2, func.applyAsDouble(input1, input2), expected);
        }
    
        public static int test(String testName, double input1, double input2,
                               double result, double expected) {
            if (Double.compare(expected, result ) != 0) {
                System.err.println("Failure for " + testName + ":\n" +
                                   "\tFor input "   + input1   + "\t(" + Double.toHexString(input1) + "), " +
                                                    + input2   + "\t(" + Double.toHexString(input2) + ")\n" +
                                   "\texpected  " + expected + "\t(" + Double.toHexString(expected) + ")\n" +
                                   "\tgot       " + result   + "\t(" + Double.toHexString(result) + ").");
                return 1;
            } else {
                return 0;
            }
        }
    
        /**
         * Returns a double over the normalized range of floating-point values.
         * @return a double over the normalized range of floating-point values
         */
        static double createRandomDouble(java.util.Random random) {
            final int EXPONENT_RANGE = Double.MAX_EXPONENT - Double.MIN_EXPONENT + 1;
    
            int targetExponent = Double.MIN_EXPONENT + random.nextInt(EXPONENT_RANGE + 1);
            double tmp = random.nextDouble(); // Double in the range of [0.0, 1.0)
            int tmpExponent = Math.getExponent(tmp);
            return Math.scalb(tmp, targetExponent - tmpExponent);
        }
    }