//===----------------------------------------------------------------------===//
//
// 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) 2026 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

#ifndef _CUDA_STD___PSTL_CUDA_COPY_N_H
#define _CUDA_STD___PSTL_CUDA_COPY_N_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

#if _CCCL_HAS_BACKEND_CUDA()

_CCCL_DIAG_PUSH
_CCCL_DIAG_SUPPRESS_CLANG("-Wshadow")
_CCCL_DIAG_SUPPRESS_CLANG("-Wunused-local-typedef")
_CCCL_DIAG_SUPPRESS_CLANG("-Wignored-attributes")
_CCCL_DIAG_SUPPRESS_GCC("-Wattributes")
_CCCL_DIAG_SUPPRESS_NVHPC(attribute_requires_external_linkage)

#  include <cub/detail/choose_offset.cuh>
#  include <cub/device/device_transform.cuh>

_CCCL_DIAG_POP

#  include <cuda/__execution/policy.h>
#  include <cuda/__functional/always_true_false.h>
#  include <cuda/__functional/call_or.h>
#  include <cuda/__runtime/api_wrapper.h>
#  include <cuda/__stream/get_stream.h>
#  include <cuda/__stream/stream_ref.h>
#  include <cuda/std/__algorithm/copy_if.h>
#  include <cuda/std/__exception/cuda_error.h>
#  include <cuda/std/__exception/exception_macros.h>
#  include <cuda/std/__execution/env.h>
#  include <cuda/std/__execution/policy.h>
#  include <cuda/std/__functional/identity.h>
#  include <cuda/std/__iterator/distance.h>
#  include <cuda/std/__iterator/incrementable_traits.h>
#  include <cuda/std/__iterator/iterator_traits.h>
#  include <cuda/std/__memory/pointer_traits.h>
#  include <cuda/std/__pstl/cuda/ensure_current_context.h>
#  include <cuda/std/__pstl/dispatch.h>
#  include <cuda/std/__type_traits/always_false.h>
#  include <cuda/std/__type_traits/is_same.h>
#  include <cuda/std/__type_traits/is_trivially_copyable.h>
#  include <cuda/std/__utility/move.h>
#  include <cuda/std/cstdint>
#  include <cuda/std/tuple>

#  include <cuda/std/__cccl/prologue.h>

_CCCL_BEGIN_NAMESPACE_CUDA_STD_EXECUTION

_CCCL_BEGIN_NAMESPACE_ARCH_DEPENDENT

template <>
struct __pstl_dispatch<__pstl_algorithm::__copy_n, __execution_backend::__cuda>
{
  template <class _Policy, class _InputIterator, class _Size, class _OutputIterator, class _UnaryPred>
  [[nodiscard]] _CCCL_HOST_API static _OutputIterator __par_impl(
    const _Policy& __policy, _InputIterator __first, _Size __count, _OutputIterator __result, _UnaryPred __pred)
  {
    const auto __stream = ::cuda::__call_or(::cuda::get_stream, ::cuda::stream_ref{cudaStream_t{}}, __policy);
    const auto __ctx    = ::cuda::std::execution::__pstl_ensure_current_ctx_for(__policy);

    // We pass the policy as an environment to DeviceTransform
    _CCCL_TRY_CUDA_API(
      CUB_NS_QUALIFIER::DeviceTransform::TransformIf,
      "__pstl_cuda_copy_n: kernel launch of device_transform failed",
      tuple<_InputIterator>{::cuda::std::move(__first)},
      __result,
      __count,
      ::cuda::std::move(__pred),
      identity{},
      __policy);

    __stream.sync();

    return __result + __count;
  }

  _CCCL_TEMPLATE(class _Policy, class _InputIterator, class _OutputIterator, class _UnaryPred = ::cuda::always_true)
  _CCCL_REQUIRES(__has_forward_traversal<_InputIterator> _CCCL_AND __has_forward_traversal<_OutputIterator>)
  [[nodiscard]] _CCCL_HOST_API _OutputIterator operator()(
    [[maybe_unused]] const _Policy& __policy,
    _InputIterator __first,
    iter_difference_t<_InputIterator> __count,
    _OutputIterator __result,
    _UnaryPred __pred = {}) const
  {
    if constexpr (::cuda::std::__has_random_access_traversal<_InputIterator>
                  && ::cuda::std::__has_random_access_traversal<_OutputIterator>)
    {
      _CCCL_TRY
      {
        return __par_impl(
          __policy, ::cuda::std::move(__first), __count, ::cuda::std::move(__result), ::cuda::std::move(__pred));
      }
      _CCCL_CATCH (const ::cuda::cuda_error& __err)
      {
        if (__err.status() == cudaErrorMemoryAllocation)
        {
          _CCCL_THROW(::std::bad_alloc);
        }
        else
        {
          _CCCL_RETHROW;
        }
      }
      _CCCL_CATCH_FALLTHROUGH
    }
    else
    {
      static_assert(__always_false_v<_Policy>,
                    "__pstl_dispatch: CUDA backend of cuda::std::copy_if requires at least random access iterators");
      auto __last = ::cuda::std::next(__first, __count);
      return ::cuda::std::copy_if(
        ::cuda::std::move(__first), ::cuda::std::move(__last), ::cuda::std::move(__result), ::cuda::std::move(__pred));
    }
  }
};

_CCCL_END_NAMESPACE_ARCH_DEPENDENT

_CCCL_END_NAMESPACE_CUDA_STD_EXECUTION

#  include <cuda/std/__cccl/epilogue.h>

#endif /// _CCCL_HAS_BACKEND_CUDA()

#endif // _CUDA_STD___PSTL_CUDA_COPY_N_H
