GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
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/*
* Copyright 2008-2012 NVIDIA Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*! \file thrust/iterator/iterator_adaptor.h
* \brief An iterator which adapts a base iterator
*/
/*
* (C) Copyright David Abrahams 2002.
* (C) Copyright Jeremy Siek 2002.
* (C) Copyright Thomas Witt 2002.
*
* Distributed under the Boost Software License, Version 1.0.
* (See accompanying NOTICE file for the complete license)
*
* For more information, see http://www.boost.org
*/
#pragma once
#include <thrust/detail/config.h>
#include <thrust/iterator/iterator_facade.h>
#include <thrust/detail/use_default.h>
#include <thrust/iterator/detail/iterator_adaptor_base.h>
namespace thrust
{
/*! \addtogroup iterators
* \{
*/
/*! \addtogroup fancyiterator Fancy Iterators
* \ingroup iterators
* \{
*/
/*! \p iterator_adaptor is an iterator which adapts an existing type of iterator to create a new type of
* iterator. Most of Thrust's fancy iterators are defined via inheritance from \p iterator_adaptor.
* While composition of these existing Thrust iterators is often sufficient for expressing the desired
* functionality, it is occasionally more straightforward to derive from \p iterator_adaptor directly.
*
* To see how to use \p iterator_adaptor to create a novel iterator type, let's examine how to use it to
* define \p repeat_iterator, a fancy iterator which repeats elements from another range a given number of time:
*
* \code
* #include <thrust/iterator/iterator_adaptor.h>
*
* // derive repeat_iterator from iterator_adaptor
* template<typename Iterator>
* class repeat_iterator
* : public thrust::iterator_adaptor<
* repeat_iterator<Iterator>, // the first template parameter is the name of the iterator we're creating
* Iterator // the second template parameter is the name of the iterator we're adapting
* // we can use the default for the additional template parameters
* >
* {
* public:
* // shorthand for the name of the iterator_adaptor we're deriving from
* typedef thrust::iterator_adaptor<
* repeat_iterator<Iterator>,
* Iterator
* > super_t;
*
* __host__ __device__
* repeat_iterator(const Iterator &x, int n) : super_t(x), begin(x), n(n) {}
*
* // befriend thrust::iterator_core_access to allow it access to the private interface below
* friend class thrust::iterator_core_access;
*
* private:
* // repeat each element of the adapted range n times
* unsigned int n;
*
* // used to keep track of where we began
* const Iterator begin;
*
* // it is private because only thrust::iterator_core_access needs access to it
* __host__ __device__
* typename super_t::reference dereference() const
* {
* return *(begin + (this->base() - begin) / n);
* }
* };
* \endcode
*
* Except for the first two, \p iterator_adaptor's template parameters are optional. When omitted, or when the
* user specifies \p thrust::use_default in its place, \p iterator_adaptor will use a default type inferred from \p Base.
*
* \p iterator_adaptor's functionality is derived from and generally equivalent to \p boost::iterator_adaptor.
* The exception is Thrust's addition of the template parameter \p System, which is necessary to allow Thrust
* to dispatch an algorithm to one of several parallel backend systems.
*
* \p iterator_adaptor is a powerful tool for creating custom iterators directly. However, the large set of iterator semantics which must be satisfied
* for algorithm compatibility can make \p iterator_adaptor difficult to use correctly. Unless you require the full expressivity of \p iterator_adaptor,
* consider building a custom iterator through composition of existing higher-level fancy iterators instead.
*
* Interested users may refer to <tt>boost::iterator_adaptor</tt>'s documentation for further usage examples.
*/
template<typename Derived,
typename Base,
typename Value = use_default,
typename System = use_default,
typename Traversal = use_default,
typename Reference = use_default,
typename Difference = use_default>
class iterator_adaptor:
public detail::iterator_adaptor_base<
Derived, Base, Value, System, Traversal, Reference, Difference
>::type
{
/*! \cond
*/
friend class thrust::iterator_core_access;
protected:
typedef typename detail::iterator_adaptor_base<
Derived, Base, Value, System, Traversal, Reference, Difference
>::type super_t;
/*! \endcond
*/
public:
/*! \p iterator_adaptor's default constructor does nothing.
*/
__host__ __device__
iterator_adaptor(){}
/*! This constructor copies from a given instance of the \p Base iterator.
*/
__host__ __device__
explicit iterator_adaptor(Base const& iter)
: m_iterator(iter)
{}
/*! The type of iterator this \p iterator_adaptor's \p adapts.
*/
typedef Base base_type;
/*! \cond
*/
typedef typename super_t::reference reference;
typedef typename super_t::difference_type difference_type;
/*! \endcond
*/
/*! \return A \p const reference to the \p Base iterator this \p iterator_adaptor adapts.
*/
__host__ __device__
Base const& base() const
{ return m_iterator; }
protected:
/*! \return A \p const reference to the \p Base iterator this \p iterator_adaptor adapts.
*/
__host__ __device__
Base const& base_reference() const
{ return m_iterator; }
/*! \return A mutable reference to the \p Base iterator this \p iterator_adaptor adapts.
*/
__host__ __device__
Base& base_reference()
{ return m_iterator; }
/*! \cond
*/
private: // Core iterator interface for iterator_facade
__thrust_hd_warning_disable__
__host__ __device__
typename iterator_adaptor::reference dereference() const
{ return *m_iterator; }
__thrust_hd_warning_disable__
template<typename OtherDerived, typename OtherIterator, typename V, typename S, typename T, typename R, typename D>
__host__ __device__
bool equal(iterator_adaptor<OtherDerived, OtherIterator, V, S, T, R, D> const& x) const
{ return m_iterator == x.base(); }
__thrust_hd_warning_disable__
__host__ __device__
void advance(typename iterator_adaptor::difference_type n)
{
// XXX statically assert on random_access_traversal_tag
m_iterator += n;
}
__thrust_hd_warning_disable__
__host__ __device__
void increment()
{ ++m_iterator; }
__thrust_hd_warning_disable__
__host__ __device__
void decrement()
{
// XXX statically assert on bidirectional_traversal_tag
--m_iterator;
}
__thrust_hd_warning_disable__
template<typename OtherDerived, typename OtherIterator, typename V, typename S, typename T, typename R, typename D>
__host__ __device__
typename iterator_adaptor::difference_type distance_to(iterator_adaptor<OtherDerived, OtherIterator, V, S, T, R, D> const& y) const
{ return y.base() - m_iterator; }
private:
Base m_iterator;
/*! \endcond
*/
}; // end iterator_adaptor
/*! \} // end fancyiterators
*/
/*! \} // end iterators
*/
} // end thrust