hypotf_test.cpp
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//===-- Unittests for hypotf ----------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "include/math.h"
#include "src/math/hypotf.h"
#include "utils/FPUtil/FPBits.h"
#include "utils/FPUtil/TestHelpers.h"
#include "utils/MPFRWrapper/MPFRUtils.h"
#include "utils/UnitTest/Test.h"
using FPBits = __llvm_libc::fputil::FPBits<float>;
using UIntType = FPBits::UIntType;
namespace mpfr = __llvm_libc::testing::mpfr;
static const float zero = FPBits::zero();
static const float negZero = FPBits::negZero();
static const float nan = FPBits::buildNaN(1);
static const float inf = FPBits::inf();
static const float negInf = FPBits::negInf();
TEST(HypotfTest, SpecialNumbers) {
EXPECT_FP_EQ(__llvm_libc::hypotf(inf, nan), inf);
EXPECT_FP_EQ(__llvm_libc::hypotf(nan, negInf), inf);
EXPECT_FP_EQ(__llvm_libc::hypotf(zero, inf), inf);
EXPECT_FP_EQ(__llvm_libc::hypotf(negInf, negZero), inf);
EXPECT_FP_EQ(__llvm_libc::hypotf(nan, nan), nan);
EXPECT_FP_EQ(__llvm_libc::hypotf(nan, zero), nan);
EXPECT_FP_EQ(__llvm_libc::hypotf(negZero, nan), nan);
EXPECT_FP_EQ(__llvm_libc::hypotf(negZero, zero), zero);
}
TEST(HypotfTest, SubnormalRange) {
constexpr UIntType count = 1000001;
constexpr UIntType step =
(FPBits::maxSubnormal - FPBits::minSubnormal) / count;
for (UIntType v = FPBits::minSubnormal, w = FPBits::maxSubnormal;
v <= FPBits::maxSubnormal && w >= FPBits::minSubnormal;
v += step, w -= step) {
float x = FPBits(v), y = FPBits(w);
float result = __llvm_libc::hypotf(x, y);
mpfr::BinaryInput<float> input{x, y};
ASSERT_MPFR_MATCH(mpfr::Operation::Hypot, input, result, 0.5);
}
}
TEST(HypotfTest, NormalRange) {
constexpr UIntType count = 1000001;
constexpr UIntType step = (FPBits::maxNormal - FPBits::minNormal) / count;
for (UIntType v = FPBits::minNormal, w = FPBits::maxNormal;
v <= FPBits::maxNormal && w >= FPBits::minNormal; v += step, w -= step) {
float x = FPBits(v), y = FPBits(w);
float result = __llvm_libc::hypotf(x, y);
;
mpfr::BinaryInput<float> input{x, y};
ASSERT_MPFR_MATCH(mpfr::Operation::Hypot, input, result, 0.5);
}
}