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Flatten subprojects into a single base monorepo
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4.1 KiB
C

//===----------------------------------------------------------------------===//
//
// Part of libcu++, the C++ Standard Library for your entire system,
// 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) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#ifndef _CUDA___CMATH_ROUND_DOWN_H
#define _CUDA___CMATH_ROUND_DOWN_H
#include <cuda/std/detail/__config>
#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
# pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
# pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
# pragma system_header
#endif // no system header
#include <cuda/std/__concepts/concept_macros.h>
#include <cuda/std/__type_traits/common_type.h>
#include <cuda/std/__type_traits/is_enum.h>
#include <cuda/std/__type_traits/is_integral.h>
#include <cuda/std/__type_traits/is_signed.h>
#include <cuda/std/__type_traits/make_unsigned.h>
#include <cuda/std/__utility/to_underlying.h>
#include <cuda/std/limits>
_LIBCUDACXX_BEGIN_NAMESPACE_CUDA
//! @brief Round the number \p __a to the previous multiple of \p __b
//! @param __a The input number
//! @param __b The multiplicand
//! @pre \p __a must be non-negative
//! @pre \p __b must be positive
_CCCL_TEMPLATE(class _Tp, class _Up)
_CCCL_REQUIRES(_CCCL_TRAIT(_CUDA_VSTD::is_integral, _Tp) _CCCL_AND _CCCL_TRAIT(_CUDA_VSTD::is_integral, _Up))
_CCCL_NODISCARD _LIBCUDACXX_HIDE_FROM_ABI constexpr _CUDA_VSTD::common_type_t<_Tp, _Up>
round_down(const _Tp __a, const _Up __b) noexcept
{
_CCCL_ASSERT(__b > _Up{0}, "cuda::round_down: 'b' must be positive");
if constexpr (_CUDA_VSTD::is_signed_v<_Tp>)
{
_CCCL_ASSERT(__a >= _Tp{0}, "cuda::round_down: 'a' must be non negative");
}
using _Common = _CUDA_VSTD::common_type_t<_Tp, _Up>;
using _Prom = decltype(_Tp{} / _Up{});
using _UProm = _CUDA_VSTD::make_unsigned_t<_Prom>;
auto __c1 = static_cast<_UProm>(__a) / static_cast<_UProm>(__b);
return static_cast<_Common>(__c1 * static_cast<_UProm>(__b));
}
//! @brief Round the number \p __a to the previous multiple of \p __b
//! @param __a The input number
//! @param __b The multiplicand
//! @pre \p __a must be non-negative
//! @pre \p __b must be positive
_CCCL_TEMPLATE(class _Tp, class _Up)
_CCCL_REQUIRES(_CCCL_TRAIT(_CUDA_VSTD::is_integral, _Tp) _CCCL_AND _CCCL_TRAIT(_CUDA_VSTD::is_enum, _Up))
_CCCL_NODISCARD _LIBCUDACXX_HIDE_FROM_ABI constexpr _CUDA_VSTD::common_type_t<_Tp, _CUDA_VSTD::underlying_type_t<_Up>>
round_down(const _Tp __a, const _Up __b) noexcept
{
return ::cuda::round_down(__a, _CUDA_VSTD::to_underlying(__b));
}
//! @brief Round the number \p __a to the previous multiple of \p __b
//! @param __a The input number
//! @param __b The multiplicand
//! @pre \p __a must be non-negative
//! @pre \p __b must be positive
_CCCL_TEMPLATE(class _Tp, class _Up)
_CCCL_REQUIRES(_CCCL_TRAIT(_CUDA_VSTD::is_enum, _Tp) _CCCL_AND _CCCL_TRAIT(_CUDA_VSTD::is_integral, _Up))
_CCCL_NODISCARD _LIBCUDACXX_HIDE_FROM_ABI constexpr _CUDA_VSTD::common_type_t<_CUDA_VSTD::underlying_type_t<_Tp>, _Up>
round_down(const _Tp __a, const _Up __b) noexcept
{
return ::cuda::round_down(_CUDA_VSTD::to_underlying(__a), __b);
}
//! @brief Round the number \p __a to the previous multiple of \p __b
//! @param __a The input number
//! @param __b The multiplicand
//! @pre \p __a must be non-negative
//! @pre \p __b must be positive
_CCCL_TEMPLATE(class _Tp, class _Up)
_CCCL_REQUIRES(_CCCL_TRAIT(_CUDA_VSTD::is_enum, _Tp) _CCCL_AND _CCCL_TRAIT(_CUDA_VSTD::is_enum, _Up))
_CCCL_NODISCARD
_LIBCUDACXX_HIDE_FROM_ABI constexpr _CUDA_VSTD::common_type_t<_CUDA_VSTD::underlying_type_t<_Tp>,
_CUDA_VSTD::underlying_type_t<_Up>>
round_down(const _Tp __a, const _Up __b) noexcept
{
return ::cuda::round_down(_CUDA_VSTD::to_underlying(__a), _CUDA_VSTD::to_underlying(__b));
}
_LIBCUDACXX_END_NAMESPACE_CUDA
#endif // _CUDA___CMATH_ROUND_DOWN_H