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Diffstat (limited to 'src/pal/tests/palsuite/c_runtime/atan2/test1/test1.cpp')
| -rw-r--r-- | src/pal/tests/palsuite/c_runtime/atan2/test1/test1.cpp | 148 |
1 files changed, 148 insertions, 0 deletions
diff --git a/src/pal/tests/palsuite/c_runtime/atan2/test1/test1.cpp b/src/pal/tests/palsuite/c_runtime/atan2/test1/test1.cpp new file mode 100644 index 0000000000..15aa8f53b9 --- /dev/null +++ b/src/pal/tests/palsuite/c_runtime/atan2/test1/test1.cpp @@ -0,0 +1,148 @@ +// 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: Tests that atan2 returns correct values for a subset of values. +** Tests with positive and negative values of x and y to ensure +** atan2 is returning results from the correct quadrant. +** +**===================================================================*/ + +#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) + +struct test +{ + double y; /* second component of the value to test the function with */ + double x; /* first component of the 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 y, double x, double expected, double variance) +{ + double result = atan2(y, x); + + /* + * 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("atan2(%g, %g) returned %20.17g when it should have returned %20.17g", + y, x, result, expected); + } +} + +/** + * validate + * + * test validation function for values returning NaN + */ +void __cdecl validate_isnan(double y, double x) +{ + double result = atan2(y, x); + + if (!_isnan(result)) + { + Fail("atan2(%g, %g) returned %20.17g when it should have returned %20.17g", + y, x, result, PAL_NAN); + } +} + +/** + * main + * + * executable entry point + */ +int __cdecl main(int argc, char **argv) +{ + struct test tests[] = + { + /* y x expected variance */ + { 0, PAL_POSINF, 0, PAL_EPSILON }, + { 0, 0, 0, PAL_EPSILON }, + { 0.31296179620778659, 0.94976571538163866, 0.31830988618379067, PAL_EPSILON }, // expected: 1 / pi + { 0.42077048331375735, 0.90716712923909839, 0.43429448190325183, PAL_EPSILON }, // expected: log10(e) + { 0.59448076852482208, 0.80410982822879171, 0.63661977236758134, PAL_EPSILON }, // expected: 2 / pi + { 0.63896127631363480, 0.76923890136397213, 0.69314718055994531, PAL_EPSILON }, // expected: ln(2) + { 0.64963693908006244, 0.76024459707563015, 0.70710678118654752, PAL_EPSILON }, // expected: 1 / sqrt(2) + { 0.70710678118654752, 0.70710678118654752, 0.78539816339744831, PAL_EPSILON }, // expected: pi / 4, value: 1 / sqrt(2) + { 1, 1, 0.78539816339744831, PAL_EPSILON }, // expected: pi / 4 + { PAL_POSINF, PAL_POSINF, 0.78539816339744831, PAL_EPSILON }, // expected: pi / 4 + { 0.84147098480789651, 0.54030230586813972, 1, PAL_EPSILON * 10 }, + { 0.90371945743584630, 0.42812514788535792, 1.1283791670955126, PAL_EPSILON * 10 }, // expected: 2 / sqrt(pi) + { 0.98776594599273553, 0.15594369476537447, 1.4142135623730950, PAL_EPSILON * 10 }, // expected: sqrt(2) + { 0.99180624439366372, 0.12775121753523991, 1.4426950408889634, PAL_EPSILON * 10 }, // expected: log2(e) + { 1, 0, 1.5707963267948966, PAL_EPSILON * 10 }, // expected: pi / 2 + { PAL_POSINF, 0, 1.5707963267948966, PAL_EPSILON * 10 }, // expected: pi / 2 + { PAL_POSINF, 1, 1.5707963267948966, PAL_EPSILON * 10 }, // expected: pi / 2 + { 0.74398033695749319, -0.66820151019031295, 2.3025850929940457, PAL_EPSILON * 10 }, // expected: ln(10) + { 0.41078129050290870, -0.91173391478696510, 2.7182818284590452, PAL_EPSILON * 10 }, // expected: e + { 0, -1, 3.1415926535897932, PAL_EPSILON * 10 }, // expected: pi + { 1, PAL_POSINF, 0, PAL_EPSILON }, + }; + + if (PAL_Initialize(argc, argv) != 0) + { + return FAIL; + } + + for (int i = 0; i < (sizeof(tests) / sizeof(struct test)); i++) + { + const double pi = 3.1415926535897932; + + validate( tests[i].y, tests[i].x, tests[i].expected, tests[i].variance); + validate(-tests[i].y, tests[i].x, -tests[i].expected, tests[i].variance); + validate( tests[i].y, -tests[i].x, pi - tests[i].expected, tests[i].variance); + validate(-tests[i].y, -tests[i].x, tests[i].expected - pi, tests[i].variance); + } + + validate_isnan(PAL_NEGINF, PAL_NAN); + validate_isnan(PAL_NAN, PAL_NEGINF); + validate_isnan(PAL_NAN, PAL_POSINF); + validate_isnan(PAL_POSINF, PAL_NAN); + + validate_isnan(PAL_NAN, -1); + validate_isnan(PAL_NAN, -0.0); + validate_isnan(PAL_NAN, 0); + validate_isnan(PAL_NAN, 1); + + validate_isnan(-1, PAL_NAN); + validate_isnan(-0.0, PAL_NAN); + validate_isnan( 0, PAL_NAN); + validate_isnan( 1, PAL_NAN); + + validate_isnan(PAL_NAN, PAL_NAN); + + PAL_Terminate(); + return PASS; +} |