1 /*
   2  * Copyright (c) 2003, 2015, Oracle and/or its affiliates. All rights reserved.
   3  * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
   4  *
   5  * This code is free software; you can redistribute it and/or modify it
   6  * under the terms of the GNU General Public License version 2 only, as
   7  * published by the Free Software Foundation.
   8  *
   9  * This code is distributed in the hope that it will be useful, but WITHOUT
  10  * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
  11  * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
  12  * version 2 for more details (a copy is included in the LICENSE file that
  13  * accompanied this code).
  14  *
  15  * You should have received a copy of the GNU General Public License version
  16  * 2 along with this work; if not, write to the Free Software Foundation,
  17  * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
  18  *
  19  * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
  20  * or visit www.oracle.com if you need additional information or have any
  21  * questions.
  22  */
  23 
  24 /*
  25  * @test
  26  * @library /lib/testlibrary/
  27  * @build jdk.testlibrary.*
  28  * @run main Log1pTests
  29  * @bug 4851638 4939441 8078672
  30  * @summary Tests for {Math, StrictMath}.log1p (use -Dseed=X to set PRNG seed)
  31  * @author Joseph D. Darcy
  32  * @key randomness
  33  */
  34 
  35 public class Log1pTests {
  36     private Log1pTests(){}
  37 
  38     static final double infinityD = Double.POSITIVE_INFINITY;
  39     static final double NaNd = Double.NaN;
  40 
  41     /**
  42      * Formulation taken from HP-15C Advanced Functions Handbook, part
  43      * number HP 0015-90011, p 181.  This is accurate to a few ulps.
  44      */
  45     static double hp15cLogp(double x) {
  46         double u = 1.0 + x;
  47         return (u==1.0? x : StrictMath.log(u)*x/(u-1) );
  48     }
  49 
  50     /*
  51      * The Taylor expansion of ln(1 + x) for -1 < x <= 1 is:
  52      *
  53      * x - x^2/2 + x^3/3 - ... -(-x^j)/j
  54      *
  55      * Therefore, for small values of x, log1p(x) ~= x.  For large
  56      * values of x, log1p(x) ~= log(x).
  57      *
  58      * Also x/(x+1) < ln(1+x) < x
  59      */
  60 
  61     static int testLog1p() {
  62         int failures = 0;
  63 
  64         double [][] testCases = {
  65             {Double.NaN,                NaNd},
  66             {Double.longBitsToDouble(0x7FF0000000000001L),      NaNd},
  67             {Double.longBitsToDouble(0xFFF0000000000001L),      NaNd},
  68             {Double.longBitsToDouble(0x7FF8555555555555L),      NaNd},
  69             {Double.longBitsToDouble(0xFFF8555555555555L),      NaNd},
  70             {Double.longBitsToDouble(0x7FFFFFFFFFFFFFFFL),      NaNd},
  71             {Double.longBitsToDouble(0xFFFFFFFFFFFFFFFFL),      NaNd},
  72             {Double.longBitsToDouble(0x7FFDeadBeef00000L),      NaNd},
  73             {Double.longBitsToDouble(0xFFFDeadBeef00000L),      NaNd},
  74             {Double.longBitsToDouble(0x7FFCafeBabe00000L),      NaNd},
  75             {Double.longBitsToDouble(0xFFFCafeBabe00000L),      NaNd},
  76             {Double.NEGATIVE_INFINITY,  NaNd},
  77             {-8.0,                      NaNd},
  78             {-1.0,                      -infinityD},
  79             {-0.0,                      -0.0},
  80             {+0.0,                      +0.0},
  81             {infinityD,                 infinityD},
  82         };
  83 
  84         // Test special cases
  85         for(int i = 0; i < testCases.length; i++) {
  86             failures += testLog1pCaseWithUlpDiff(testCases[i][0],
  87                                                  testCases[i][1], 0);
  88         }
  89 
  90         // For |x| < 2^-54 log1p(x) ~= x
  91         for(int i = DoubleConsts.MIN_SUB_EXPONENT; i <= -54; i++) {
  92             double d = Math.scalb(2, i);
  93             failures += testLog1pCase(d, d);
  94             failures += testLog1pCase(-d, -d);
  95         }
  96 
  97         // For x > 2^53 log1p(x) ~= log(x)
  98         for(int i = 53; i <= Double.MAX_EXPONENT; i++) {
  99             double d = Math.scalb(2, i);
 100             failures += testLog1pCaseWithUlpDiff(d, StrictMath.log(d), 2.001);
 101         }
 102 
 103         // Construct random values with exponents ranging from -53 to
 104         // 52 and compare against HP-15C formula.
 105         java.util.Random rand = RandomFactory.getRandom();
 106         for(int i = 0; i < 1000; i++) {
 107             double d = rand.nextDouble();
 108 
 109             d = Math.scalb(d, -53 - Tests.ilogb(d));
 110 
 111             for(int j = -53; j <= 52; j++) {
 112                 failures += testLog1pCaseWithUlpDiff(d, hp15cLogp(d), 5);
 113 
 114                 d *= 2.0; // increase exponent by 1
 115             }
 116         }
 117 
 118         // Test for monotonicity failures near values y-1 where y ~=
 119         // e^x.  Test two numbers before and two numbers after each
 120         // chosen value; i.e.
 121         //
 122         // pcNeighbors[] =
 123         // {nextDown(nextDown(pc)),
 124         // nextDown(pc),
 125         // pc,
 126         // nextUp(pc),
 127         // nextUp(nextUp(pc))}
 128         //
 129         // and we test that log1p(pcNeighbors[i]) <= log1p(pcNeighbors[i+1])
 130         {
 131             double pcNeighbors[] = new double[5];
 132             double pcNeighborsLog1p[] = new double[5];
 133             double pcNeighborsStrictLog1p[] = new double[5];
 134 
 135             for(int i = -36; i <= 36; i++) {
 136                 double pc = StrictMath.pow(Math.E, i) - 1;
 137 
 138                 pcNeighbors[2] = pc;
 139                 pcNeighbors[1] = Math.nextDown(pc);
 140                 pcNeighbors[0] = Math.nextDown(pcNeighbors[1]);
 141                 pcNeighbors[3] = Math.nextUp(pc);
 142                 pcNeighbors[4] = Math.nextUp(pcNeighbors[3]);
 143 
 144                 for(int j = 0; j < pcNeighbors.length; j++) {
 145                     pcNeighborsLog1p[j]       =       Math.log1p(pcNeighbors[j]);
 146                     pcNeighborsStrictLog1p[j] = StrictMath.log1p(pcNeighbors[j]);
 147                 }
 148 
 149                 for(int j = 0; j < pcNeighborsLog1p.length-1; j++) {
 150                     if(pcNeighborsLog1p[j] >  pcNeighborsLog1p[j+1] ) {
 151                         failures++;
 152                         System.err.println("Monotonicity failure for Math.log1p on " +
 153                                           pcNeighbors[j] + " and "  +
 154                                           pcNeighbors[j+1] + "\n\treturned " +
 155                                           pcNeighborsLog1p[j] + " and " +
 156                                           pcNeighborsLog1p[j+1] );
 157                     }
 158 
 159                     if(pcNeighborsStrictLog1p[j] >  pcNeighborsStrictLog1p[j+1] ) {
 160                         failures++;
 161                         System.err.println("Monotonicity failure for StrictMath.log1p on " +
 162                                           pcNeighbors[j] + " and "  +
 163                                           pcNeighbors[j+1] + "\n\treturned " +
 164                                           pcNeighborsStrictLog1p[j] + " and " +
 165                                           pcNeighborsStrictLog1p[j+1] );
 166                     }
 167 
 168 
 169                 }
 170 
 171             }
 172         }
 173 
 174         return failures;
 175     }
 176 
 177     public static int testLog1pCase(double input,
 178                                     double expected) {
 179         return testLog1pCaseWithUlpDiff(input, expected, 1);
 180     }
 181 
 182     public static int testLog1pCaseWithUlpDiff(double input,
 183                                                double expected,
 184                                                double ulps) {
 185         int failures = 0;
 186         failures += Tests.testUlpDiff("Math.lop1p(double",
 187                                       input, Math.log1p(input),
 188                                       expected, ulps);
 189         failures += Tests.testUlpDiff("StrictMath.log1p(double",
 190                                       input, StrictMath.log1p(input),
 191                                       expected, ulps);
 192         return failures;
 193     }
 194 
 195     public static void main(String argv[]) {
 196         int failures = 0;
 197 
 198         failures += testLog1p();
 199 
 200         if (failures > 0) {
 201             System.err.println("Testing log1p incurred "
 202                                + failures + " failures.");
 203             throw new RuntimeException();
 204         }
 205     }
 206 }