1 /*
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   3  * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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  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).
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  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
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  23 
  24 /*
  25  * @test
  26  * @bug 4851638 4939441
  27  * @summary Tests for {Math, StrictMath}.hypot
  28  * @author Joseph D. Darcy
  29  */
  30 
  31 import sun.misc.DoubleConsts;
  32 
  33 public class HypotTests {
  34     private HypotTests(){}
  35 
  36     static final double infinityD = Double.POSITIVE_INFINITY;
  37     static final double NaNd      = Double.NaN;
  38 
  39     /**
  40      * Given integers m and n, assuming m < n, the triple (n^2 - m^2,
  41      * 2mn, and n^2 + m^2) is a Pythagorean triple with a^2 + b^2 =
  42      * c^2.  This methods returns a long array holding the Pythagorean
  43      * triple corresponding to the inputs.
  44      */
  45     static long [] pythagoreanTriple(int m, int n) {
  46         long M = m;
  47         long N = n;
  48         long result[] = new long[3];
  49 
  50 
  51         result[0] = Math.abs(M*M - N*N);
  52         result[1] = Math.abs(2*M*N);
  53         result[2] = Math.abs(M*M + N*N);
  54 
  55         return result;
  56     }
  57 
  58     static int testHypot() {
  59         int failures = 0;
  60 
  61         double [][] testCases = {
  62             // Special cases
  63             {infinityD,         infinityD,              infinityD},
  64             {infinityD,         0.0,                    infinityD},
  65             {infinityD,         1.0,                    infinityD},
  66             {infinityD,         NaNd,                   infinityD},
  67             {NaNd,              NaNd,                   NaNd},
  68             {0.0,               NaNd,                   NaNd},
  69             {1.0,               NaNd,                   NaNd},
  70             {Double.longBitsToDouble(0x7FF0000000000001L),      1.0,    NaNd},
  71             {Double.longBitsToDouble(0xFFF0000000000001L),      1.0,    NaNd},
  72             {Double.longBitsToDouble(0x7FF8555555555555L),      1.0,    NaNd},
  73             {Double.longBitsToDouble(0xFFF8555555555555L),      1.0,    NaNd},
  74             {Double.longBitsToDouble(0x7FFFFFFFFFFFFFFFL),      1.0,    NaNd},
  75             {Double.longBitsToDouble(0xFFFFFFFFFFFFFFFFL),      1.0,    NaNd},
  76             {Double.longBitsToDouble(0x7FFDeadBeef00000L),      1.0,    NaNd},
  77             {Double.longBitsToDouble(0xFFFDeadBeef00000L),      1.0,    NaNd},
  78             {Double.longBitsToDouble(0x7FFCafeBabe00000L),      1.0,    NaNd},
  79             {Double.longBitsToDouble(0xFFFCafeBabe00000L),      1.0,    NaNd},
  80         };
  81 
  82         for(int i = 0; i < testCases.length; i++) {
  83             failures += testHypotCase(testCases[i][0], testCases[i][1],
  84                                       testCases[i][2]);
  85         }
  86 
  87         // Verify hypot(x, 0.0) is close to x over the entire exponent
  88         // range.
  89         for(int i = DoubleConsts.MIN_SUB_EXPONENT;
  90             i <= DoubleConsts.MAX_EXPONENT;
  91             i++) {
  92             double input = Math.scalb(2, i);
  93             failures += testHypotCase(input, 0.0, input);
  94         }
  95 
  96 
  97         // Test Pythagorean triples
  98 
  99         // Small ones
 100         for(int m = 1; m < 10; m++) {
 101             for(int n = m+1; n < 11; n++) {
 102                 long [] result = pythagoreanTriple(m, n);
 103                 failures += testHypotCase(result[0], result[1], result[2]);
 104             }
 105         }
 106 
 107         // Big ones
 108         for(int m = 100000; m < 100100; m++) {
 109             for(int n = m+100000; n < 200200; n++) {
 110                 long [] result = pythagoreanTriple(m, n);
 111                 failures += testHypotCase(result[0], result[1], result[2]);
 112             }
 113         }
 114 
 115         // Approaching overflow tests
 116 
 117         /*
 118          * Create a random value r with an large-ish exponent.  The
 119          * result of hypot(3*r, 4*r) should be approximately 5*r. (The
 120          * computation of 4*r is exact since it just changes the
 121          * exponent).  While the exponent of r is less than or equal
 122          * to (MAX_EXPONENT - 3), the computation should not overflow.
 123          */
 124         java.util.Random rand = new java.util.Random();
 125         for(int i = 0; i < 1000; i++) {
 126             double d = rand.nextDouble();
 127             // Scale d to have an exponent equal to MAX_EXPONENT -15
 128             d = Math.scalb(d, DoubleConsts.MAX_EXPONENT
 129                                  -15 - Tests.ilogb(d));
 130             for(int j = 0; j <= 13; j += 1) {
 131                 failures += testHypotCase(3*d, 4*d, 5*d, 2.5);
 132                 d *= 2.0; // increase exponent by 1
 133             }
 134         }
 135 
 136         // Test for monotonicity failures.  Fix one argument and test
 137         // two numbers before and two numbers after each chosen value;
 138         // i.e.
 139         //
 140         // pcNeighbors[] =
 141         // {nextDown(nextDown(pc)),
 142         // nextDown(pc),
 143         // pc,
 144         // nextUp(pc),
 145         // nextUp(nextUp(pc))}
 146         //
 147         // and we test that hypot(pcNeighbors[i]) <= hypot(pcNeighbors[i+1])
 148         {
 149             double pcNeighbors[] = new double[5];
 150             double pcNeighborsHypot[] = new double[5];
 151             double pcNeighborsStrictHypot[] = new double[5];
 152 
 153 
 154             for(int i = -18; i <= 18; i++) {
 155                 double pc = Math.scalb(1.0, i);
 156 
 157                 pcNeighbors[2] = pc;
 158                 pcNeighbors[1] = Math.nextDown(pc);
 159                 pcNeighbors[0] = Math.nextDown(pcNeighbors[1]);
 160                 pcNeighbors[3] = Math.nextUp(pc);
 161                 pcNeighbors[4] = Math.nextUp(pcNeighbors[3]);
 162 
 163                 for(int j = 0; j < pcNeighbors.length; j++) {
 164                     pcNeighborsHypot[j]       =       Math.hypot(2.0, pcNeighbors[j]);
 165                     pcNeighborsStrictHypot[j] = StrictMath.hypot(2.0, pcNeighbors[j]);
 166                 }
 167 
 168                 for(int j = 0; j < pcNeighborsHypot.length-1; j++) {
 169                     if(pcNeighborsHypot[j] >  pcNeighborsHypot[j+1] ) {
 170                         failures++;
 171                         System.err.println("Monotonicity failure for Math.hypot on " +
 172                                           pcNeighbors[j] + " and "  +
 173                                           pcNeighbors[j+1] + "\n\treturned " +
 174                                           pcNeighborsHypot[j] + " and " +
 175                                           pcNeighborsHypot[j+1] );
 176                     }
 177 
 178                     if(pcNeighborsStrictHypot[j] >  pcNeighborsStrictHypot[j+1] ) {
 179                         failures++;
 180                         System.err.println("Monotonicity failure for StrictMath.hypot on " +
 181                                           pcNeighbors[j] + " and "  +
 182                                           pcNeighbors[j+1] + "\n\treturned " +
 183                                           pcNeighborsStrictHypot[j] + " and " +
 184                                           pcNeighborsStrictHypot[j+1] );
 185                     }
 186 
 187 
 188                 }
 189 
 190             }
 191         }
 192 
 193 
 194         return failures;
 195     }
 196 
 197     static int testHypotCase(double input1, double input2, double expected) {
 198         return testHypotCase(input1,input2, expected, 1);
 199     }
 200 
 201     static int testHypotCase(double input1, double input2, double expected,
 202                              double ulps) {
 203         int failures = 0;
 204         if (expected < 0.0) {
 205             throw new AssertionError("Result of hypot must be greater than " +
 206                                      "or equal to zero");
 207         }
 208 
 209         // Test Math and StrictMath methods with no inputs negated,
 210         // each input negated singly, and both inputs negated.  Also
 211         // test inputs in reversed order.
 212 
 213         for(int i = -1; i <= 1; i+=2) {
 214             for(int j = -1; j <= 1; j+=2) {
 215                 double x = i * input1;
 216                 double y = j * input2;
 217                 failures += Tests.testUlpDiff("Math.hypot", x, y,
 218                                               Math.hypot(x, y), expected, ulps);
 219                 failures += Tests.testUlpDiff("Math.hypot", y, x,
 220                                               Math.hypot(y, x ), expected, ulps);
 221 
 222                 failures += Tests.testUlpDiff("StrictMath.hypot", x, y,
 223                                               StrictMath.hypot(x, y), expected, ulps);
 224                 failures += Tests.testUlpDiff("StrictMath.hypot", y, x,
 225                                               StrictMath.hypot(y, x), expected, ulps);
 226             }
 227         }
 228 
 229         return failures;
 230     }
 231 
 232     public static void main(String argv[]) {
 233         int failures = 0;
 234 
 235         failures += testHypot();
 236 
 237         if (failures > 0) {
 238             System.err.println("Testing the hypot incurred "
 239                                + failures + " failures.");
 240             throw new RuntimeException();
 241         }
 242     }
 243 
 244 }