1 /*
   2  * Copyright (c) 2003, 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  * @bug 4851638 4939441
  27  * @summary Tests for {Math, StrictMath}.log1p
  28  * @author Joseph D. Darcy
  29  */
  30 
  31 import sun.misc.DoubleConsts;
  32 import sun.misc.FpUtils;
  33 
  34 public class Log1pTests {
  35     private Log1pTests(){}
  36 
  37     static final double infinityD = Double.POSITIVE_INFINITY;
  38     static final double NaNd = Double.NaN;
  39 
  40     /**
  41      * Formulation taken from HP-15C Advanced Functions Handbook, part
  42      * number HP 0015-90011, p 181.  This is accurate to a few ulps.
  43      */
  44     static double hp15cLogp(double x) {
  45         double u = 1.0 + x;
  46         return (u==1.0? x : StrictMath.log(u)*x/(u-1) );
  47     }
  48 
  49     /*
  50      * The Taylor expansion of ln(1 + x) for -1 < x <= 1 is:
  51      *
  52      * x - x^2/2 + x^3/3 - ... -(-x^j)/j
  53      *
  54      * Therefore, for small values of x, log1p(x) ~= x.  For large
  55      * values of x, log1p(x) ~= log(x).
  56      *
  57      * Also x/(x+1) < ln(1+x) < x
  58      */
  59 
  60     static int testLog1p() {
  61         int failures = 0;
  62 
  63         double [][] testCases = {
  64             {Double.NaN,                NaNd},
  65             {Double.longBitsToDouble(0x7FF0000000000001L),      NaNd},
  66             {Double.longBitsToDouble(0xFFF0000000000001L),      NaNd},
  67             {Double.longBitsToDouble(0x7FF8555555555555L),      NaNd},
  68             {Double.longBitsToDouble(0xFFF8555555555555L),      NaNd},
  69             {Double.longBitsToDouble(0x7FFFFFFFFFFFFFFFL),      NaNd},
  70             {Double.longBitsToDouble(0xFFFFFFFFFFFFFFFFL),      NaNd},
  71             {Double.longBitsToDouble(0x7FFDeadBeef00000L),      NaNd},
  72             {Double.longBitsToDouble(0xFFFDeadBeef00000L),      NaNd},
  73             {Double.longBitsToDouble(0x7FFCafeBabe00000L),      NaNd},
  74             {Double.longBitsToDouble(0xFFFCafeBabe00000L),      NaNd},
  75             {Double.NEGATIVE_INFINITY,  NaNd},
  76             {-8.0,                      NaNd},
  77             {-1.0,                      -infinityD},
  78             {-0.0,                      -0.0},
  79             {+0.0,                      +0.0},
  80             {infinityD,                 infinityD},
  81         };
  82 
  83         // Test special cases
  84         for(int i = 0; i < testCases.length; i++) {
  85             failures += testLog1pCaseWithUlpDiff(testCases[i][0],
  86                                                  testCases[i][1], 0);
  87         }
  88 
  89         // For |x| < 2^-54 log1p(x) ~= x
  90         for(int i = DoubleConsts.MIN_SUB_EXPONENT; i <= -54; i++) {
  91             double d = Math.scalb(2, i);
  92             failures += testLog1pCase(d, d);
  93             failures += testLog1pCase(-d, -d);
  94         }
  95 
  96         // For x > 2^53 log1p(x) ~= log(x)
  97         for(int i = 53; i <= DoubleConsts.MAX_EXPONENT; i++) {
  98             double d = Math.scalb(2, i);
  99             failures += testLog1pCaseWithUlpDiff(d, StrictMath.log(d), 2.001);
 100         }
 101 
 102         // Construct random values with exponents ranging from -53 to
 103         // 52 and compare against HP-15C formula.
 104         java.util.Random rand = new java.util.Random();
 105         for(int i = 0; i < 1000; i++) {
 106             double d = rand.nextDouble();
 107 
 108             d = Math.scalb(d, -53 - FpUtils.ilogb(d));
 109 
 110             for(int j = -53; j <= 52; j++) {
 111                 failures += testLog1pCaseWithUlpDiff(d, hp15cLogp(d), 5);
 112 
 113                 d *= 2.0; // increase exponent by 1
 114             }
 115         }
 116 
 117         // Test for monotonicity failures near values y-1 where y ~=
 118         // e^x.  Test two numbers before and two numbers after each
 119         // chosen value; i.e.
 120         //
 121         // pcNeighbors[] =
 122         // {nextDown(nextDown(pc)),
 123         // nextDown(pc),
 124         // pc,
 125         // nextUp(pc),
 126         // nextUp(nextUp(pc))}
 127         //
 128         // and we test that log1p(pcNeighbors[i]) <= log1p(pcNeighbors[i+1])
 129         {
 130             double pcNeighbors[] = new double[5];
 131             double pcNeighborsLog1p[] = new double[5];
 132             double pcNeighborsStrictLog1p[] = new double[5];
 133 
 134             for(int i = -36; i <= 36; i++) {
 135                 double pc = StrictMath.pow(Math.E, i) - 1;
 136 
 137                 pcNeighbors[2] = pc;
 138                 pcNeighbors[1] = FpUtils.nextDown(pc);
 139                 pcNeighbors[0] = FpUtils.nextDown(pcNeighbors[1]);
 140                 pcNeighbors[3] = Math.nextUp(pc);
 141                 pcNeighbors[4] = Math.nextUp(pcNeighbors[3]);
 142 
 143                 for(int j = 0; j < pcNeighbors.length; j++) {
 144                     pcNeighborsLog1p[j]       =       Math.log1p(pcNeighbors[j]);
 145                     pcNeighborsStrictLog1p[j] = StrictMath.log1p(pcNeighbors[j]);
 146                 }
 147 
 148                 for(int j = 0; j < pcNeighborsLog1p.length-1; j++) {
 149                     if(pcNeighborsLog1p[j] >  pcNeighborsLog1p[j+1] ) {
 150                         failures++;
 151                         System.err.println("Monotonicity failure for Math.log1p on " +
 152                                           pcNeighbors[j] + " and "  +
 153                                           pcNeighbors[j+1] + "\n\treturned " +
 154                                           pcNeighborsLog1p[j] + " and " +
 155                                           pcNeighborsLog1p[j+1] );
 156                     }
 157 
 158                     if(pcNeighborsStrictLog1p[j] >  pcNeighborsStrictLog1p[j+1] ) {
 159                         failures++;
 160                         System.err.println("Monotonicity failure for StrictMath.log1p on " +
 161                                           pcNeighbors[j] + " and "  +
 162                                           pcNeighbors[j+1] + "\n\treturned " +
 163                                           pcNeighborsStrictLog1p[j] + " and " +
 164                                           pcNeighborsStrictLog1p[j+1] );
 165                     }
 166 
 167 
 168                 }
 169 
 170             }
 171         }
 172 
 173         return failures;
 174     }
 175 
 176     public static int testLog1pCase(double input,
 177                                     double expected) {
 178         return testLog1pCaseWithUlpDiff(input, expected, 1);
 179     }
 180 
 181     public static int testLog1pCaseWithUlpDiff(double input,
 182                                                double expected,
 183                                                double ulps) {
 184         int failures = 0;
 185         failures += Tests.testUlpDiff("Math.lop1p(double",
 186                                       input, Math.log1p(input),
 187                                       expected, ulps);
 188         failures += Tests.testUlpDiff("StrictMath.log1p(double",
 189                                       input, StrictMath.log1p(input),
 190                                       expected, ulps);
 191         return failures;
 192     }
 193 
 194     public static void main(String argv[]) {
 195         int failures = 0;
 196 
 197         failures += testLog1p();
 198 
 199         if (failures > 0) {
 200             System.err.println("Testing log1p incurred "
 201                                + failures + " failures.");
 202             throw new RuntimeException();
 203         }
 204     }
 205 
 206 }