/home/runner/work/cccl/cccl/cub/cub/iterator/transform_input_iterator.cuh

File members: /home/runner/work/cccl/cccl/cub/cub/iterator/transform_input_iterator.cuh

/******************************************************************************
 * Copyright (c) 2011, Duane Merrill.  All rights reserved.
 * Copyright (c) 2011-2018, NVIDIA CORPORATION.  All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * 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.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the
 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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 ******************************************************************************/

#pragma once

#include <cub/config.cuh>

#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 <cub/thread/thread_load.cuh>
#include <cub/thread/thread_store.cuh>

#include <iostream>
#include <iterator>

#if (THRUST_VERSION >= 100700)
// This iterator is compatible with Thrust API 1.7 and newer
#  include <thrust/iterator/iterator_facade.h>
#  include <thrust/iterator/iterator_traits.h>
#endif // THRUST_VERSION

CUB_NAMESPACE_BEGIN

template <typename ValueType, typename ConversionOp, typename InputIteratorT, typename OffsetT = ptrdiff_t>
class TransformInputIterator
{
public:
  // Required iterator traits

  using self_type = TransformInputIterator;

  using difference_type = OffsetT;

  using value_type = ValueType;

  using pointer = ValueType*;

  using reference = ValueType;

#if (THRUST_VERSION >= 100700)
  // Use Thrust's iterator categories so we can use these iterators in Thrust 1.7 (or newer) methods

  using iterator_category = typename THRUST_NS_QUALIFIER::detail::iterator_facade_category<
    THRUST_NS_QUALIFIER::any_system_tag,
    THRUST_NS_QUALIFIER::random_access_traversal_tag,
    value_type,
    reference>::type;
#else
  using iterator_category = std::random_access_iterator_tag;
#endif // THRUST_VERSION

private:
  ConversionOp conversion_op;
  InputIteratorT input_itr;

public:
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE TransformInputIterator(InputIteratorT input_itr, ConversionOp conversion_op)
      : conversion_op(conversion_op)
      , input_itr(input_itr)
  {}

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type operator++(int)
  {
    self_type retval = *this;
    input_itr++;
    return retval;
  }

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type operator++()
  {
    input_itr++;
    return *this;
  }

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator*() const
  {
    return conversion_op(*input_itr);
  }

  template <typename Distance>
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type operator+(Distance n) const
  {
    self_type retval(input_itr + n, conversion_op);
    return retval;
  }

  template <typename Distance>
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type& operator+=(Distance n)
  {
    input_itr += n;
    return *this;
  }

  template <typename Distance>
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type operator-(Distance n) const
  {
    self_type retval(input_itr - n, conversion_op);
    return retval;
  }

  template <typename Distance>
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE self_type& operator-=(Distance n)
  {
    input_itr -= n;
    return *this;
  }

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE difference_type operator-(self_type other) const
  {
    return input_itr - other.input_itr;
  }

  template <typename Distance>
  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE reference operator[](Distance n) const
  {
    return conversion_op(input_itr[n]);
  }

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator==(const self_type& rhs) const
  {
    return (input_itr == rhs.input_itr);
  }

  _CCCL_HOST_DEVICE _CCCL_FORCEINLINE bool operator!=(const self_type& rhs) const
  {
    return (input_itr != rhs.input_itr);
  }

  friend std::ostream& operator<<(std::ostream& os, const self_type& /* itr */)
  {
    return os;
  }
};

CUB_NAMESPACE_END