xtensor-python/include/xtensor-python/pybuffer_adaptor.hpp at master · stonebig/xtensor-python · GitHub

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/***************************************************************************

* *

* Distributed under the terms of the BSD 3-Clause License. *

* *

* The full license is in the file LICENSE, distributed with this software. *

****************************************************************************/

#ifndef PYBUFFER_ADAPTOR_HPP

#define PYBUFFER_ADAPTOR_HPP

#include <cstddef>

#include <iterator>

#include <algorithm>

namespace xt

{

template <class T>

class pybuffer_adaptor

{

public:

using value_type = T;

using reference = T&;

using const_reference = const T&;

using pointer = T*;

using const_pointer = const T*;

using size_type = std::size_t;

using difference_type = std::ptrdiff_t;

using iterator = pointer;

using const_iterator = const_pointer;

using reverse_iterator = std::reverse_iterator<iterator>;

using const_reverse_iterator = std::reverse_iterator<const_iterator>;

pybuffer_adaptor() = default;

pybuffer_adaptor(pointer data, size_type size);

bool empty() const noexcept;

size_type size() const noexcept;

reference operator[](size_type i);

const_reference operator[](size_type i) const;

reference front();

const_reference front() const;

reference back();

const_reference back() const;

iterator begin();

iterator end();

const_iterator begin() const;

const_iterator end() const;

const_iterator cbegin() const;

const_iterator cend() const;

reverse_iterator rbegin();

reverse_iterator rend();

const_reverse_iterator rbegin() const;

const_reverse_iterator rend() const;

const_reverse_iterator crbegin() const;

const_reverse_iterator crend() const;

pointer data();

const_pointer data() const;

private:

pointer p_data;

size_type m_size;

};

template<class T>

bool operator==(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template<class T>

bool operator<(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template<class T>

bool operator!=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template<class T>

bool operator>(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template<class T>

bool operator<=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template<class T>

bool operator>=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y);

template <std::size_t N>

class pystrides_iterator;

template <std::size_t N>

class pystrides_adaptor

{

public:

using value_type = std::size_t;

using const_reference = value_type;

using const_pointer = const value_type*;

using size_type = std::size_t;

using difference_type = std::ptrdiff_t;

using const_iterator = pystrides_iterator<N>;

pystrides_adaptor() = default;

pystrides_adaptor(const_pointer data, size_type size);

bool empty() const noexcept;

size_type size() const noexcept;

const_reference operator[](size_type i) const;

const_reference front() const;

const_reference back() const;

const_iterator begin() const;

const_iterator end() const;

const_iterator cbegin() const;

const_iterator cend() const;

private:

const_pointer p_data;

size_type m_size;

};

/***********************************

* pybuffer_adaptor implementation *

***********************************/

template <class T>

inline pybuffer_adaptor<T>::pybuffer_adaptor(pointer data, size_type size)

: p_data(data), m_size(size)

{

}

template <class T>

inline bool pybuffer_adaptor<T>::empty() const noexcept

{

return m_size == 0;

}

template <class T>

inline auto pybuffer_adaptor<T>::size() const noexcept -> size_type

{

return m_size;

}

template <class T>

inline auto pybuffer_adaptor<T>::operator[](size_type i) -> reference

{

return p_data[i];

}

template <class T>

inline auto pybuffer_adaptor<T>::operator[](size_type i) const -> const_reference

{

return p_data[i];

}

template <class T>

inline auto pybuffer_adaptor<T>::front() -> reference

{

return p_data[0];

}

template <class T>

inline auto pybuffer_adaptor<T>::front() const -> const_reference

{

return p_data[0];

}

template <class T>

inline auto pybuffer_adaptor<T>::back() -> reference

{

return p_data[m_size - 1];

}

template <class T>

inline auto pybuffer_adaptor<T>::back() const -> const_reference

{

return p_data[m_size - 1];

}

template <class T>

inline auto pybuffer_adaptor<T>::begin() -> iterator

{

return p_data;

}

template <class T>

inline auto pybuffer_adaptor<T>::end() -> iterator

{

return p_data + m_size;

}

template <class T>

inline auto pybuffer_adaptor<T>::begin() const -> const_iterator

{

return const_iterator(p_data);

}

template <class T>

inline auto pybuffer_adaptor<T>::end() const -> const_iterator

{

return const_iterator(p_data + m_size);

}

template <class T>

inline auto pybuffer_adaptor<T>::cbegin() const -> const_iterator

{

return begin();

}

template <class T>

inline auto pybuffer_adaptor<T>::cend() const -> const_iterator

{

return end();

}

template <class T>

inline auto pybuffer_adaptor<T>::rbegin() -> reverse_iterator

{

return reverse_iterator(end());

}

template <class T>

inline auto pybuffer_adaptor<T>::rend() -> reverse_iterator

{

return reverse_iterator(begin());

}

template <class T>

inline auto pybuffer_adaptor<T>::rbegin() const -> const_reverse_iterator

{

return const_reverse_iterator(end());

}

template <class T>

inline auto pybuffer_adaptor<T>::rend() const -> const_reverse_iterator

{

return const_reverse_iterator(begin());

}

template <class T>

inline auto pybuffer_adaptor<T>::crbegin() const -> const_reverse_iterator

{

return rbegin();

}

template <class T>

inline auto pybuffer_adaptor<T>::crend() const -> const_reverse_iterator

{

return rend();

}

template <class T>

inline auto pybuffer_adaptor<T>::data() -> pointer

{

return p_data;

}

template <class T>

inline auto pybuffer_adaptor<T>::data() const -> const_pointer

{

return p_data;

}

template<class T>

inline bool operator==(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return (x.size() == y.size() && std::equal(x.begin(), x.end(), y.begin()));

}

template<class T>

inline bool operator<(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return std::lexicographical_compare(x.begin(), x.end(), y.begin(), y.end());

}

template<class T>

inline bool operator!=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return !(x == y);

}

template<class T>

inline bool operator>(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return y < x;

}

template<class T>

inline bool operator<=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return !(y < x);

}

template<class T>

inline bool operator>=(const pybuffer_adaptor<T>& x, const pybuffer_adaptor<T>& y)

{

return !(x < y);

}

/*************************************

* pystrides_iterator implementation *

*************************************/

template <std::size_t N>

class pystrides_iterator

{

public:

using self_type = pystrides_iterator<N>;

using value_type = typename pystrides_adaptor<N>::value_type;

using pointer = typename pystrides_adaptor<N>::const_pointer;

using reference = typename pystrides_adaptor<N>::const_reference;

using difference_type = typename pystrides_adaptor<N>::difference_type;

using iterator_category = std::random_access_iterator_tag;

inline pystrides_iterator(pointer current)

: p_current(current)

{

}

inline reference operator*() const { return *p_current / N; }

inline pointer operator->() const { return p_current; }

inline reference operator[](difference_type n) { return *(p_current + n) / N; }

inline self_type& operator++() { ++p_current; return *this; }

inline self_type& operator--() { --p_current; return *this; }

inline self_type operator++(int) { self_type tmp(*this); ++p_current; return tmp; }

inline self_type operator--(int) { self_type tmp(*this); --p_current; return tmp; }

inline self_type& operator+=(difference_type n) { p_current += n; return *this; }

inline self_type& operator-=(difference_type n) { p_current -= n; return *this; }

inline self_type operator+(difference_type n) const { return self_type(p_current + n); }

inline self_type operator-(difference_type n) const { return self_type(p_current - n); }

inline self_type operator-(const self_type& rhs) const

{

self_type tmp(*this);

tmp -= (p_current - rhs.p_current);

return tmp;

}

pointer get_pointer() const { return p_current; }

private:

pointer p_current;

};

template <std::size_t N>

inline bool operator==(const pystrides_iterator<N>& lhs,