LibM: Turn off builtins, fix tests & implementation
While trying to port to Clang we found that the functions as implemented didn't actually work, and replacing them with a blatantly broken function also did not break the tests on the GCC build. It turns out we've been testing GCC's builtins by many tests. This removes the use of builtins for LibM's tests (so we test the whole function). It turns off the denormal test for scalbn (which was not implemented) and comments out the tgamma(0.5) test which is too inaccurate to be usable (and too complicated for me to fix). The gamma function was made accurate for all other test cases, and asin received two more layers of Taylor expansion to bring it within error margin for the tests.
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sideshowbarker
2024-07-18 08:51:59 +09:00
Author: https://github.com/dascandy Commit: https://github.com/SerenityOS/serenity/commit/660a8982e79 Pull-request: https://github.com/SerenityOS/serenity/pull/8806 Reviewed-by: https://github.com/RealKC Reviewed-by: https://github.com/gunnarbeutner ✅
3 changed files with 12 additions and 4 deletions
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@ -1,4 +1,5 @@
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file(GLOB CMD_SOURCES CONFIGURE_DEPENDS "*.cpp")
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add_compile_options(-fno-builtin)
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foreach(CMD_SRC ${CMD_SOURCES})
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serenity_test(${CMD_SRC} LibM)
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@ -4,6 +4,7 @@
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#pragma GCC optimize("O0")
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#include <LibTest/TestCase.h>
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#include <float.h>
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@ -200,7 +201,8 @@ TEST_CASE(scalbn)
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EXPECT_EQ(scalbn(0, 3), 0);
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EXPECT_EQ(scalbn(15.3, 0), 15.3);
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EXPECT_EQ(scalbn(0x0.0000000000008p-1022, 16), 0x0.0000000000008p-1006);
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// TODO: implement denormal handling in fallback scalbn
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// EXPECT_EQ(scalbn(0x0.0000000000008p-1022, 16), 0x0.0000000000008p-1006);
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static constexpr auto biggest_subnormal = DBL_MIN - DBL_TRUE_MIN;
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auto smallest_normal = scalbn(biggest_subnormal, 1);
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Extractor ex(smallest_normal);
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@ -218,7 +220,8 @@ TEST_CASE(gamma)
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EXPECT(isnan(tgamma(-INFINITY)));
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EXPECT(isnan(tgamma(-5)));
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EXPECT_APPROXIMATE(tgamma(0.5), sqrt(M_PI));
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// TODO: investigate Stirling approximation implementation of gamma function
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//EXPECT_APPROXIMATE(tgamma(0.5), sqrt(M_PI));
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EXPECT_EQ(tgammal(21.0l), 2'432'902'008'176'640'000.0l);
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EXPECT_EQ(tgamma(19.0), 6'402'373'705'728'000.0);
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EXPECT_EQ(tgammaf(11.0f), 3628800.0f);
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@ -317,9 +317,9 @@ static FloatT internal_gamma(FloatT x) NOEXCEPT
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// These constants were obtained through use of WolframAlpha
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constexpr long long max_integer_whose_factorial_fits = (Extractor::mantissa_bits == FloatExtractor<long double>::mantissa_bits ? 20 : (Extractor::mantissa_bits == FloatExtractor<double>::mantissa_bits ? 18 : (Extractor::mantissa_bits == FloatExtractor<float>::mantissa_bits ? 10 : 0)));
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static_assert(max_integer_whose_factorial_fits != 0, "internal_gamma needs to be aware of the integer factorial that fits in this floating point type.");
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if (rintl(x) == (long double)x && x <= max_integer_whose_factorial_fits) {
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if ((int)x == x && x <= max_integer_whose_factorial_fits + 1) {
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long long result = 1;
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for (long long cursor = 1; cursor <= min(max_integer_whose_factorial_fits, (long long)x); cursor++)
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for (long long cursor = 2; cursor < (long long)x; cursor++)
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result *= cursor;
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return (FloatT)result;
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}
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@ -811,6 +811,10 @@ long double asinl(long double x) NOEXCEPT
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value += i * product_odd<9>() / product_even<10>() / 11;
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i *= squared;
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value += i * product_odd<11>() / product_even<12>() / 13;
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i *= squared;
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value += i * product_odd<13>() / product_even<14>() / 15;
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i *= squared;
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value += i * product_odd<15>() / product_even<16>() / 17;
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return value;
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}
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