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Diffstat (limited to 'src/pal/tests/palsuite/c_runtime/log10/test1/test1.c')
| -rw-r--r-- | src/pal/tests/palsuite/c_runtime/log10/test1/test1.c | 146 |
1 files changed, 146 insertions, 0 deletions
diff --git a/src/pal/tests/palsuite/c_runtime/log10/test1/test1.c b/src/pal/tests/palsuite/c_runtime/log10/test1/test1.c new file mode 100644 index 0000000000..13711a752e --- /dev/null +++ b/src/pal/tests/palsuite/c_runtime/log10/test1/test1.c @@ -0,0 +1,146 @@ +// Licensed to the .NET Foundation under one or more agreements. +// The .NET Foundation licenses this file to you under the MIT license. +// See the LICENSE file in the project root for more information. + +/*============================================================================= +** +** Source: test1.c +** +** Purpose: Test to ensure that log10 returns correct values. +** +** Dependencies: PAL_Initialize +** PAL_Terminate +** Fail +** fabs +** _isnan +** +**===========================================================================*/ + +#include <palsuite.h> + +// binary64 (double) has a machine epsilon of 2^-52 (approx. 2.22e-16). However, this +// is slightly too accurate when writing tests meant to run against libm implementations +// for various platforms. 2^-50 (approx. 8.88e-16) seems to be as accurate as we can get. +// +// The tests themselves will take PAL_EPSILON and adjust it according to the expected result +// so that the delta used for comparison will compare the most significant digits and ignore +// any digits that are outside the double precision range (15-17 digits). + +// For example, a test with an expect result in the format of 0.xxxxxxxxxxxxxxxxx will use +// PAL_EPSILON for the variance, while an expected result in the format of 0.0xxxxxxxxxxxxxxxxx +// will use PAL_EPSILON / 10 and and expected result in the format of x.xxxxxxxxxxxxxxxx will +// use PAL_EPSILON * 10. +#define PAL_EPSILON 8.8817841970012523e-16 + +#define PAL_NAN sqrt(-1.0) +#define PAL_POSINF -log(0.0) +#define PAL_NEGINF log(0.0) + +/** + * Helper test structure + */ +struct test +{ + double value; /* value to test the function with */ + double expected; /* expected result */ + double variance; /* maximum delta between the expected and actual result */ +}; + +/** + * validate + * + * test validation function + */ +void __cdecl validate(double value, double expected, double variance) +{ + double result = log10(value); + + /* + * The test is valid when the difference between result + * and expected is less than or equal to variance + */ + double delta = fabs(result - expected); + + if (delta > variance) + { + Fail("log10(%g) returned %20.17g when it should have returned %20.17g", + value, result, expected); + } +} + +/** + * validate + * + * test validation function for values returning NaN + */ +void __cdecl validate_isnan(double value) +{ + double result = log10(value); + + if (!_isnan(result)) + { + Fail("log10(%g) returned %20.17g when it should have returned %20.17g", + value, result, PAL_NAN); + } +} + +/** + * main + * + * executable entry point + */ +int __cdecl main(int argc, char **argv) +{ + struct test tests[] = + { + /* value expected variance */ + { 0, PAL_NEGINF, 0 }, + { 0.00072178415907472774, -3.1415926535897932, PAL_EPSILON * 10 }, // expected: -(pi) + { 0.0019130141022243176, -2.7182818284590452, PAL_EPSILON * 10 }, // expected: -(e) + { 0.0049821282964407206, -2.3025850929940457, PAL_EPSILON * 10 }, // expected: -(ln(10)) + { 0.026866041001136132, -1.5707963267948966, PAL_EPSILON * 10 }, // expected: -(pi / 2) + { 0.036083192820787210, -1.4426950408889634, PAL_EPSILON * 10 }, // expected: -(log2(e)) + { 0.038528884700322026, -1.4142135623730950, PAL_EPSILON * 10 }, // expected: -(sqrt(2)) + { 0.074408205860642723, -1.1283791670955126, PAL_EPSILON * 10 }, // expected: -(2 / sqrt(pi)) + { 0.1, -1, PAL_EPSILON * 10 }, // expected: -(1) + { 0.16390863613957665, -0.78539816339744831, PAL_EPSILON }, // expected: -(pi / 4) + { 0.19628775993505562, -0.70710678118654752, PAL_EPSILON }, // expected: -(1 / sqrt(2)) + { 0.20269956628651730, -0.69314718055994531, PAL_EPSILON }, // expected: -(ln(2)) + { 0.23087676451600055, -0.63661977236758134, PAL_EPSILON }, // expected: -(2 / pi) + { 0.36787944117144232, -0.43429448190325183, PAL_EPSILON }, // expected: -(log10(e)) + { 0.48049637305186868, -0.31830988618379067, PAL_EPSILON }, // expected: -(1 / pi) + { 1, 0, PAL_EPSILON }, + { 2.0811811619898573, 0.31830988618379067, PAL_EPSILON }, // expected: 1 / pi + { 2.7182818284590452, 0.43429448190325183, PAL_EPSILON }, // expected: log10(e) value: e + { 4.3313150290214525, 0.63661977236758134, PAL_EPSILON }, // expected: 2 / pi + { 4.9334096679145963, 0.69314718055994531, PAL_EPSILON }, // expected: ln(2) + { 5.0945611704512962, 0.70710678118654752, PAL_EPSILON }, // expected: 1 / sqrt(2) + { 6.1009598002416937, 0.78539816339744831, PAL_EPSILON }, // expected: pi / 4 + { 10, 1, PAL_EPSILON * 10 }, + { 13.439377934644400, 1.1283791670955126, PAL_EPSILON * 10 }, // expected: 2 / sqrt(pi) + { 25.954553519470081, 1.4142135623730950, PAL_EPSILON * 10 }, // expected: sqrt(2) + { 27.713733786437790, 1.4426950408889634, PAL_EPSILON * 10 }, // expected: log2(e) + { 37.221710484165167, 1.5707963267948966, PAL_EPSILON * 10 }, // expected: pi / 2 + { 200.71743249053009, 2.3025850929940457, PAL_EPSILON * 10 }, // expected: ln(10) + { 522.73529967043665, 2.7182818284590452, PAL_EPSILON * 10 }, // expected: e + { 1385.4557313670111, 3.1415926535897932, PAL_EPSILON * 10 }, // expected: pi + { PAL_POSINF, PAL_POSINF, 0 }, + }; + + + if (PAL_Initialize(argc, argv) != 0) + { + return FAIL; + } + + for (int i = 0; i < (sizeof(tests) / sizeof(struct test)); i++) + { + validate(tests[i].value, tests[i].expected, tests[i].variance); + } + + validate_isnan(PAL_NEGINF); + validate_isnan(PAL_NAN); + + PAL_Terminate(); + return PASS; +} |