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 *     * Redistributions of source code must retain the above copyright
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#pragma once

#include <thrust/detail/config.h>

#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 <thrust/system/cuda/config.h>

#include <thrust/detail/raw_pointer_cast.h>
#include <thrust/detail/temporary_array.h>
#include <thrust/system/cuda/detail/cdp_dispatch.h>
#include <thrust/system/cuda/detail/cross_system.h>
#include <thrust/system/cuda/detail/execution_policy.h>
#include <thrust/system/cuda/detail/transform.h>
#include <thrust/system/cuda/detail/uninitialized_copy.h>
#include <thrust/system/cuda/detail/util.h>
#include <thrust/type_traits/is_trivially_relocatable.h>

#if _CCCL_HAS_CUDA_COMPILER()
#  include <cub/device/dispatch/tuning/tuning_transform.cuh>
#endif // _CCCL_HAS_CUDA_COMPILER()

#include <cuda/__fwd/zip_iterator.h>
#include <cuda/std/tuple>

THRUST_NAMESPACE_BEGIN
namespace cuda_cub
{
// Forward declare since we need it in the implementation non_trivial_cross_system_copy_n
template <class System, class InputIterator, class Size, class OutputIterator>
OutputIterator _CCCL_HOST_DEVICE
copy_n(execution_policy<System>& system, InputIterator first, Size n, OutputIterator result);

// Forward declare to work around a cyclic include, since "cuda/detail/transform.h" includes this header
template <class Derived, class InputIt, class OutputIt, class TransformOp>
OutputIt _CCCL_API _CCCL_FORCEINLINE
transform(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result, TransformOp transform_op);

// Forward declare to work around a cyclic include, since "cuda/detail/transform.h" includes this header
// We want this to unwrap zip_transform_iterator
namespace __transform
{
_CCCL_EXEC_CHECK_DISABLE
template <class Derived, class Offset, class... InputIts, class OutputIt, class TransformOp, class Predicate>
OutputIt _CCCL_API _CCCL_FORCEINLINE cub_transform_many(
  execution_policy<Derived>& policy,
  ::cuda::std::tuple<InputIts...> firsts,
  OutputIt result,
  Offset num_items,
  TransformOp transform_op,
  Predicate pred);
} // namespace __transform

namespace __copy
{
template <class H, class D, class T, class Size>
void _CCCL_HOST trivial_cross_system_copy_n(
  cpp::execution_policy<H>&, cuda_cub::execution_policy<D>& device_s, T* dst, const T* src, Size n)
{
  const auto status = cuda_cub::trivial_copy_to_device(dst, src, n, cuda_cub::stream(device_s));
  cuda_cub::throw_on_error(status, "__copy::trivial_device_copy H->D: failed");
}

template <class H, class D, class T, class Size>
void _CCCL_HOST trivial_cross_system_copy_n(
  cuda_cub::execution_policy<D>& device_s, cpp::execution_policy<H>&, T* dst, const T* src, Size n)
{
  const auto status = cuda_cub::trivial_copy_from_device(dst, src, n, cuda_cub::stream(device_s));
  cuda_cub::throw_on_error(status, "trivial_device_copy D->H failed");
}

template <class H, class D, class InputIt, class Size, class OutputIt>
OutputIt _CCCL_HOST non_trivial_cross_system_copy_n(
  cpp::execution_policy<H>& host_s,
  cuda_cub::execution_policy<D>& device_s,
  InputIt first,
  Size num_items,
  OutputIt result)
{
  // copy input data into uninitialized host temp storage
  using InputTy = thrust::detail::it_value_t<InputIt>;
  thrust::detail::temporary_array<InputTy, H> temp_host(host_s, num_items);
  // FIXME(bgruber): this fails to compile until #5490 is fixed
  //::cuda::std::uninitialized_copy_n(first, num_items, temp_host.begin());
  for (Size idx = 0; idx != num_items; idx++)
  {
    ::new (static_cast<void*>(temp_host.data().get() + idx)) InputTy(*first);
    ++first;
  }

  // trivially copy data from host to device temp storage
  thrust::detail::temporary_array<InputTy, D> temp_device(device_s, num_items);
  const cudaError status = cuda_cub::trivial_copy_to_device(
    temp_device.data().get(), temp_host.data().get(), num_items, cuda_cub::stream(device_s));
  throw_on_error(status, "__copy:: H->D: failed");

  // device->device copy
  OutputIt ret = cuda_cub::copy_n(device_s, temp_device.data(), num_items, result);
  return ret;
}

#if _CCCL_HAS_CUDA_COMPILER()
// non-trivial copy D->H, only supported with NVCC compiler
// because copy ctor must have  __device__ annotations, which is nvcc-only
// feature
template <class D, class H, class InputIt, class Size, class OutputIt>
OutputIt _CCCL_HOST non_trivial_cross_system_copy_n(
  cuda_cub::execution_policy<D>& device_s,
  cpp::execution_policy<H>& host_s,
  InputIt first,
  Size num_items,
  OutputIt result)
{
  // copy input data into uninitialized device temp storage
  using InputTy = thrust::detail::it_value_t<InputIt>;
  thrust::detail::temporary_array<InputTy, D> temp_device(device_s, num_items);
  cuda_cub::uninitialized_copy_n(device_s, first, num_items, temp_device.data());

  // trivially copy data from device to host temp storage
  thrust::detail::temporary_array<InputTy, H> temp_host(host_s, num_items);
  const auto status = cuda_cub::trivial_copy_from_device(
    temp_host.data().get(), temp_device.data().get(), num_items, cuda_cub::stream(device_s));
  throw_on_error(status, "__copy:: D->H: failed");

  // host->host copy
  OutputIt ret = thrust::copy_n(host_s, temp_host.data(), num_items, result);
  return ret;
}
#endif // _CCCL_HAS_CUDA_COMPILER()

template <class System1, class System2, class InputIt, class Size, class OutputIt>
OutputIt _CCCL_HOST cross_system_copy_n(cross_system<System1, System2> systems, InputIt begin, Size n, OutputIt result)
{
  if (n == 0)
  {
    return result;
  }

  // FIXME(bgruber): I think this is a pessimization. We should only check if the iterator is contiguous and the value
  // types are the same, and not whether value_t<InputIt> is trivially copyable, since we memcpy the content
  // regardless in the non-trivial path, but pay for a temporary storage allocation.
  // Also, trivial relocation is probably the wrong trait here, because we usually want to copy, not relocate. This
  // matters for types like unique_ptr, which are trivially relocatable, but not trivially copyable. But then we would
  // need a cross system move algorithm ...
  if constexpr (is_indirectly_trivially_relocate_to_v<InputIt, OutputIt>)
  {
    using InputTy = thrust::detail::it_value_t<InputIt>;
    auto* dst     = reinterpret_cast<InputTy*>(thrust::raw_pointer_cast(&*result));
    auto* src     = reinterpret_cast<InputTy const*>(thrust::raw_pointer_cast(&*begin));
    trivial_cross_system_copy_n(derived_cast(systems.sys1), derived_cast(systems.sys2), dst, src, n);
    return result + n;
  }
  else
  {
    return non_trivial_cross_system_copy_n(derived_cast(systems.sys1), derived_cast(systems.sys2), begin, n, result);
  }
}

#if _CCCL_HAS_CUDA_COMPILER()
template <class Derived, class InputIt, class OutputIt>
OutputIt THRUST_RUNTIME_FUNCTION
device_to_device(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result)
{
  // FIXME(bgruber): We should not check is_trivially_relocatable, since we do not semantically relocate, but copy (the
  // source remains valid). This is relevant for types like `unique_ptr`, which are trivially relocatable, but not
  // trivially copyable.
  if constexpr (is_indirectly_trivially_relocatable_to<InputIt, OutputIt>::value)
  {
    using InputTy = thrust::detail::it_value_t<InputIt>;
    const auto n  = ::cuda::std::distance(first, last);
    if (n > 0)
    {
      const cudaError status = trivial_copy_device_to_device(
        policy,
        reinterpret_cast<InputTy*>(thrust::raw_pointer_cast(&*result)),
        reinterpret_cast<InputTy const*>(thrust::raw_pointer_cast(&*first)),
        n);
      throw_on_error(status, "__copy:: D->D: failed");
    }

    return result + n;
  }
  else if constexpr (::cuda::__is_zip_transform_iterator<InputIt>)
  {
    const auto n = ::cuda::std::distance(first, last);
    return cuda_cub::__transform::cub_transform_many(
      policy,
      ::cuda::std::move(first).__base(),
      result,
      n,
      ::cuda::std::move(first).__pred(),
      cub::detail::transform::always_true_predicate{});
  }
  else
  {
    return cuda_cub::transform(
      policy, first, last, result, ::cuda::proclaim_copyable_arguments(::cuda::std::identity{}));
  }
}
#endif // _CCCL_HAS_CUDA_COMPILER()
} // namespace __copy

#if _CCCL_HAS_CUDA_COMPILER()

_CCCL_EXEC_CHECK_DISABLE
template <class System, class InputIterator, class OutputIterator>
OutputIterator _CCCL_HOST_DEVICE
copy(execution_policy<System>& system, InputIterator first, InputIterator last, OutputIterator result)
{
  THRUST_CDP_DISPATCH((result = __copy::device_to_device(system, first, last, result);),
                      (result = thrust::copy(cvt_to_seq(derived_cast(system)), first, last, result);));
  return result;
}

_CCCL_EXEC_CHECK_DISABLE
template <class System, class InputIterator, class Size, class OutputIterator>
OutputIterator _CCCL_HOST_DEVICE
copy_n(execution_policy<System>& system, InputIterator first, Size n, OutputIterator result)
{
  THRUST_CDP_DISPATCH((result = __copy::device_to_device(system, first, ::cuda::std::next(first, n), result);),
                      (result = thrust::copy_n(cvt_to_seq(derived_cast(system)), first, n, result);));
  return result;
}
#endif // _CCCL_HAS_CUDA_COMPILER()

template <class System1, class System2, class InputIterator, class OutputIterator>
OutputIterator _CCCL_HOST
copy(cross_system<System1, System2> systems, InputIterator first, InputIterator last, OutputIterator result)
{
  return __copy::cross_system_copy_n(systems, first, ::cuda::std::distance(first, last), result);
}

template <class System1, class System2, class InputIterator, class Size, class OutputIterator>
OutputIterator _CCCL_HOST
copy_n(cross_system<System1, System2> systems, InputIterator first, Size n, OutputIterator result)
{
  return __copy::cross_system_copy_n(systems, first, n, result);
}
} // namespace cuda_cub
THRUST_NAMESPACE_END
