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+// 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 asinf return the correct values
+**
+** Dependencies: PAL_Initialize
+** PAL_Terminate
+** Fail
+** fabs
+**
+**===========================================================================*/
+
+#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 = asinf(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("asinf(%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 = asinf(value);
+
+ if (!_isnanf(result))
+ {
+ Fail("asinf(%g) returned %10.9g when it should have returned %10.9g",
+ value, result, PAL_NAN);
+ }
+}
+
+/**
+ * validate
+ *
+ * test validation function for values returning +INF
+ */
+void __cdecl validate_isinf_positive(float value)
+{
+ float result = asinf(value);
+
+ if (result != PAL_POSINF)
+ {
+ Fail("asinf(%g) returned %10.9g when it should have returned %10.9g",
+ value, result, PAL_POSINF);
+ }
+}
+
+/**
+ * main
+ *
+ * executable entry point
+ */
+int __cdecl main(int argc, char **argv)
+{
+ struct test tests[] =
+ {
+ /* value expected variance */
+ { 0, 0, PAL_EPSILON },
+ { 0.312961796f, 0.318309886f, PAL_EPSILON }, // expected: 1 / pi
+ { 0.410781291f, 0.423310825f, PAL_EPSILON }, // expected: pi - e
+ { 0.420770483f, 0.434294482f, PAL_EPSILON }, // expected: logf10f(e)
+ { 0.594480769f, 0.636619772f, PAL_EPSILON }, // expected: 2 / pi
+ { 0.638961276f, 0.693147181f, PAL_EPSILON }, // expected: ln(2)
+ { 0.649636939f, 0.707106781f, PAL_EPSILON }, // expected: 1 / sqrtf(2)
+ { 0.707106781f, 0.785398163f, PAL_EPSILON }, // expected: pi / 4, value: 1 / sqrtf(2)
+ { 0.743980337f, 0.839007561f, PAL_EPSILON }, // expected: pi - ln(10)
+ { 0.841470985f, 1, PAL_EPSILON * 10 },
+ { 0.903719457f, 1.12837917f, PAL_EPSILON * 10 }, // expected: 2 / sqrtf(pi)
+ { 0.987765946f, 1.41421356f, PAL_EPSILON * 10 }, // expected: sqrtf(2)
+ { 0.991806244f, 1.44269504f, PAL_EPSILON * 10 }, // expected: logf2(e)
+ { 1, 1.57079633f, PAL_EPSILON * 10 }, // expected: pi / 2
+ };
+
+ /* PAL initialization */
+ 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(-tests[i].value, -tests[i].expected, tests[i].variance);
+ }
+
+ validate_isnan(PAL_NEGINF);
+ validate_isnan(PAL_NAN);
+ validate_isnan(PAL_POSINF);
+
+ PAL_Terminate();
+ return PASS;
+}