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Diffstat (limited to 'src/pal/tests/palsuite/c_runtime/log10f/test1/test1.c')
| -rw-r--r-- | src/pal/tests/palsuite/c_runtime/log10f/test1/test1.c | 144 |
1 files changed, 144 insertions, 0 deletions
diff --git a/src/pal/tests/palsuite/c_runtime/log10f/test1/test1.c b/src/pal/tests/palsuite/c_runtime/log10f/test1/test1.c new file mode 100644 index 0000000000..e7c8c2f28b --- /dev/null +++ b/src/pal/tests/palsuite/c_runtime/log10f/test1/test1.c @@ -0,0 +1,144 @@ +// 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 log10f returns correct values. +** +** Dependencies: PAL_Initialize +** PAL_Terminate +** Fail +** fabs +** _isnanf +** +**===========================================================================*/ + +#include <palsuite.h> + +// binary32 (float) has a machine epsilon of 2^-23 (approx. 1.19e-07). However, this +// is slightly too accurate when writing tests meant to run against libm implementations +// for various platforms. 2^-21 (approx. 4.76e-07) 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 (6-9 digits). + +// For example, a test with an expect result in the format of 0.xxxxxxxxx will use PAL_EPSILON +// for the variance, while an expected result in the format of 0.0xxxxxxxxx will use +// PAL_EPSILON / 10 and and expected result in the format of x.xxxxxx will use PAL_EPSILON * 10. +#define PAL_EPSILON 4.76837158e-07 + +#define PAL_NAN sqrtf(-1.0f) +#define PAL_POSINF -logf(0.0f) +#define PAL_NEGINF logf(0.0f) + +/** + * Helper test structure + */ +struct test +{ + float value; /* value to test the function with */ + float expected; /* expected result */ + float variance; /* maximum delta between the expected and actual result */ +}; + +/** + * validate + * + * test validation function + */ +void __cdecl validate(float value, float expected, float variance) +{ + float result = log10f(value); + + /* + * The test is valid when the difference between result + * and expected is less than or equal to variance + */ + float delta = fabsf(result - expected); + + if (delta > variance) + { + Fail("log10f(%g) returned %10.9g when it should have returned %10.9g", + value, result, expected); + } +} + +/** + * validate + * + * test validation function for values returning NaN + */ +void __cdecl validate_isnan(float value) +{ + float result = log10f(value); + + if (!_isnanf(result)) + { + Fail("log10f(%g) returned %10.9g when it should have returned %10.9g", + 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 }, + { 0.000721784159f, -3.14159265f, PAL_EPSILON * 10 }, // expected: -(pi) + { 0.00191301410f, -2.71828183f, PAL_EPSILON * 10 }, // expected: -(e) + { 0.00498212830f, -2.30258509f, PAL_EPSILON * 10 }, // expected: -(ln(10)) + { 0.0268660410f, -1.57079633f, PAL_EPSILON * 10 }, // expected: -(pi / 2) + { 0.0360831928f, -1.44269504f, PAL_EPSILON * 10 }, // expected: -(logf2(e)) + { 0.0385288847f, -1.41421356f, PAL_EPSILON * 10 }, // expected: -(sqrtf(2)) + { 0.0744082059f, -1.12837917f, PAL_EPSILON * 10 }, // expected: -(2 / sqrtf(pi)) + { 0.1f, -1, PAL_EPSILON * 10 }, // expected: -(1) + { 0.163908636f, -0.785398163f, PAL_EPSILON }, // expected: -(pi / 4) + { 0.196287760f, -0.707106781f, PAL_EPSILON }, // expected: -(1 / sqrtf(2)) + { 0.202699566f, -0.693147181f, PAL_EPSILON }, // expected: -(ln(2)) + { 0.230876765f, -0.636619772f, PAL_EPSILON }, // expected: -(2 / pi) + { 0.367879441f, -0.434294482f, PAL_EPSILON }, // expected: -(log10f(e)) + { 0.480496373f, -0.318309886f, PAL_EPSILON }, // expected: -(1 / pi) + { 1, 0, PAL_EPSILON }, + { 2.08118116f, 0.318309886f, PAL_EPSILON }, // expected: 1 / pi + { 2.71828183f, 0.434294482f, PAL_EPSILON }, // expected: log10f(e) value: e + { 4.33131503f, 0.636619772f, PAL_EPSILON }, // expected: 2 / pi + { 4.93340967f, 0.693147181f, PAL_EPSILON }, // expected: ln(2) + { 5.09456117f, 0.707106781f, PAL_EPSILON }, // expected: 1 / sqrtf(2) + { 6.10095980f, 0.785398163f, PAL_EPSILON }, // expected: pi / 4 + { 10, 1, PAL_EPSILON * 10 }, + { 13.4393779f, 1.12837917f, PAL_EPSILON * 10 }, // expected: 2 / sqrtf(pi) + { 25.9545535f, 1.41421356f, PAL_EPSILON * 10 }, // expected: sqrtf(2) + { 27.7137338f, 1.44269504f, PAL_EPSILON * 10 }, // expected: logf2(e) + { 37.2217105f, 1.57079633f, PAL_EPSILON * 10 }, // expected: pi / 2 + { 200.717432f, 2.30258509f, PAL_EPSILON * 10 }, // expected: ln(10) + { 522.735300f, 2.71828183f, PAL_EPSILON * 10 }, // expected: e + { 1385.45573f, 3.14159265f, 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; +} |