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 * modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
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 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
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#pragma once


#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
#include <iterator>
#include <thrust/distance.h>
#include <thrust/system/cuda/detail/execution_policy.h>
#include <thrust/system/cuda/detail/util.h>
#include <thrust/system/cuda/detail/parallel_for.h>

BEGIN_NS_THRUST

namespace cuda_cub {

namespace __uninitialized_fill {

  template <class Iterator, class T>
  struct functor
  {
    Iterator  items;
    T         value;

    typedef typename iterator_traits<Iterator>::value_type value_type;

    THRUST_FUNCTION
    functor(Iterator items_, T const& value_)
        : items(items_), value(value_) {}

    template<class Size>
    void THRUST_DEVICE_FUNCTION operator()(Size idx)
    {
      value_type& out = raw_reference_cast(items[idx]);

#if defined(__CUDA__) && defined(__clang__)
      // XXX unsafe. cuda-clang is seemingly unable to call ::new in device code
      out = value;
#else
      ::new (static_cast<void *>(&out)) value_type(value);
#endif
    }
  };    // struct functor

}    // namespace __uninitialized_copy

template <class Derived,
          class Iterator,
          class Size,
          class T>
Iterator __host__ __device__
uninitialized_fill_n(execution_policy<Derived>& policy,
                     Iterator                   first,
                     Size                       count,
                     T const&                   x)
{
  typedef __uninitialized_fill::functor<Iterator,T> functor_t;

  cuda_cub::parallel_for(policy,
                         functor_t(first, x),
                         count);
  return first + count;
}

template <class Derived,
          class Iterator,
          class T>
void __host__ __device__
uninitialized_fill(execution_policy<Derived>& policy,
                   Iterator                   first,
                   Iterator                   last,
                   T const&                   x)
{
  cuda_cub::uninitialized_fill_n(policy,
                              first,
                              thrust::distance(first, last),
                              x);
}

}    // namespace cuda_cub

END_NS_THRUST
#endif