TheRock/math-libs/libhipcxx/.upstream-tests/test/std/numerics/complex.number/cmplx.over/conj.pass.cpp

//===----------------------------------------------------------------------===//
//
// 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
// SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

// <cuda/std/complex>

// template<class T>      complex<T>           conj(const complex<T>&);
//                        complex<long double> conj(long double);
//                        complex<double>      conj(double);
// template<Integral T>   complex<double>      conj(T);
//                        complex<float>       conj(float);

#include <cuda/std/cassert>
#include <cuda/std/complex>
#include <cuda/std/type_traits>

#include "../cases.h"
#include "test_macros.h"

TEST_DIAG_SUPPRESS_MSVC(4244) // conversion from 'const double' to 'int', possible loss of data

template <class T>
__host__ __device__ void test(T x, typename cuda::std::enable_if<cuda::std::is_integral<T>::value>::type* = 0)
{
  static_assert((cuda::std::is_same<decltype(cuda::std::conj(x)), cuda::std::complex<double>>::value), "");
  assert(cuda::std::conj(x) == conj(cuda::std::complex<double>(x, 0)));
}

template <class T>
__host__ __device__ void test(T x, typename cuda::std::enable_if<cuda::std::is_floating_point<T>::value>::type* = 0)
{
  static_assert((cuda::std::is_same<decltype(cuda::std::conj(x)), cuda::std::complex<T>>::value), "");
  assert(cuda::std::conj(x) == conj(cuda::std::complex<T>(x, 0)));
}

template <class T>
__host__ __device__ void test(
  T x,
  typename cuda::std::enable_if<!cuda::std::is_integral<T>::value && !cuda::std::is_floating_point<T>::value>::type* = 0)
{
  static_assert((cuda::std::is_same<decltype(cuda::std::conj(x)), cuda::std::complex<T>>::value), "");
  assert(cuda::std::conj(x) == conj(cuda::std::complex<T>(x, 0)));
}

template <class T>
__host__ __device__ void test()
{
  test<T>(0);
  test<T>(1);
  test<T>(10);
}

int main(int, char**)
{
  test<float>();
  test<double>();
#if _CCCL_HAS_LONG_DOUBLE()
  test<long double>();
#endif // _CCCL_HAS_LONG_DOUBLE()
#if _LIBCUDACXX_HAS_NVFP16()
  test<__half>();
#endif // _LIBCUDACXX_HAS_NVFP16()
#if _LIBCUDACXX_HAS_NVBF16()
  test<__nv_bfloat16>();
#endif // _LIBCUDACXX_HAS_NVBF16()
  test<int>();
  test<unsigned>();
  test<long long>();

  return 0;
}