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pocketpy/3rd/numpy/include/xtensor/xadapt.hpp
Anurag Bhat 86b4fc623c
Merge numpy to pocketpy (#303) 
* Merge numpy to pocketpy

* Add CI

* Fix CI
2024-09-02 16:22:41 +08:00

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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#ifndef XTENSOR_ADAPT_HPP
#define XTENSOR_ADAPT_HPP
#include <array>
#include <cstddef>
#include <memory>
#include <type_traits>
#include <xtl/xsequence.hpp>
#include "xarray.hpp"
#include "xbuffer_adaptor.hpp"
#include "xfixed.hpp"
#include "xtensor.hpp"
namespace xt
{
/**
* @defgroup xt_xadapt Adaptors of STL-like containers
*/
namespace detail
{
template <class>
struct array_size_impl;
template <class T, std::size_t N>
struct array_size_impl<std::array<T, N>>
{
static constexpr std::size_t value = N;
};
template <class C>
using array_size = array_size_impl<std::decay_t<C>>;
template <class P>
struct default_allocator_for_ptr
{
using type = std::allocator<std::remove_const_t<std::remove_pointer_t<std::remove_reference_t<P>>>>;
};
template <class P>
using default_allocator_for_ptr_t = typename default_allocator_for_ptr<P>::type;
template <class T>
using not_an_array = xtl::negation<is_array<T>>;
template <class T>
using not_a_pointer = xtl::negation<std::is_pointer<T>>;
template <class T>
using not_a_layout = xtl::negation<std::is_same<layout_type, T>>;
}
#ifndef IN_DOXYGEN
/**************************
* xarray_adaptor builder *
**************************/
/**
* Constructs an xarray_adaptor of the given stl-like container,
* with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param shape the shape of the xarray_adaptor
* @param l the layout_type of the xarray_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class C,
class SC,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, detail::not_a_pointer<C>)>
inline xarray_adaptor<xtl::closure_type_t<C>, L, std::decay_t<SC>>
adapt(C&& container, const SC& shape, layout_type l = L)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
using return_type = xarray_adaptor<xtl::closure_type_t<C>, L, std::decay_t<SC>>;
return return_type(std::forward<C>(container), shape, l);
}
/**
* Constructs an non-owning xarray_adaptor from a pointer with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the container to adapt
* @param shape the shape of the xarray_adaptor
* @param l the layout_type of the xarray_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class C,
class SC,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, std::is_pointer<std::remove_reference_t<C>>)>
inline auto adapt(C&& pointer, const SC& shape, layout_type l = L)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
using buffer_type = xbuffer_adaptor<C, xt::no_ownership, detail::default_allocator_for_ptr_t<C>>;
using return_type = xarray_adaptor<buffer_type, L, std::decay_t<SC>>;
std::size_t size = compute_size(shape);
return return_type(buffer_type(pointer, size), shape, l);
}
/**
* Constructs an xarray_adaptor of the given stl-like container,
* with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param shape the shape of the xarray_adaptor
* @param strides the strides of the xarray_adaptor
*/
template <
class C,
class SC,
class SS,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline xarray_adaptor<xtl::closure_type_t<C>, layout_type::dynamic, std::decay_t<SC>>
adapt(C&& container, SC&& shape, SS&& strides)
{
static_assert(!xtl::is_integral<std::decay_t<SC>>::value, "shape cannot be a integer");
using return_type = xarray_adaptor<xtl::closure_type_t<C>, layout_type::dynamic, std::decay_t<SC>>;
return return_type(
std::forward<C>(container),
xtl::forward_sequence<typename return_type::inner_shape_type, SC>(shape),
xtl::forward_sequence<typename return_type::inner_strides_type, SS>(strides)
);
}
/**
* Constructs an xarray_adaptor of the given dynamically allocated C array,
* with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the xarray_adaptor
* @param l the layout_type of the xarray_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class P,
class O,
class SC,
class A = detail::default_allocator_for_ptr_t<P>,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>)>
inline xarray_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, L, SC> adapt(
P&& pointer,
typename A::size_type size,
O ownership,
const SC& shape,
layout_type l = L,
const A& alloc = A()
)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
(void) ownership;
using buffer_type = xbuffer_adaptor<xtl::closure_type_t<P>, O, A>;
using return_type = xarray_adaptor<buffer_type, L, SC>;
buffer_type buf(std::forward<P>(pointer), size, alloc);
return return_type(std::move(buf), shape, l);
}
/**
* Constructs an xarray_adaptor of the given dynamically allocated C array,
* with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the xarray_adaptor
* @param strides the strides of the xarray_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <
class P,
class O,
class SC,
class SS,
class A = detail::default_allocator_for_ptr_t<P>,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline xarray_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, layout_type::dynamic, std::decay_t<SC>>
adapt(P&& pointer, typename A::size_type size, O ownership, SC&& shape, SS&& strides, const A& alloc = A())
{
static_assert(!xtl::is_integral<std::decay_t<SC>>::value, "shape cannot be a integer");
(void) ownership;
using buffer_type = xbuffer_adaptor<xtl::closure_type_t<P>, O, A>;
using return_type = xarray_adaptor<buffer_type, layout_type::dynamic, std::decay_t<SC>>;
buffer_type buf(std::forward<P>(pointer), size, alloc);
return return_type(
std::move(buf),
xtl::forward_sequence<typename return_type::inner_shape_type, SC>(shape),
xtl::forward_sequence<typename return_type::inner_strides_type, SS>(strides)
);
}
/**
* Constructs an xarray_adaptor of the given C array allocated on the stack, with the
* specified shape and layout.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the xarray_adaptor
* @param l the layout_type of the xarray_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class T,
std::size_t N,
class SC,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>)>
inline auto adapt(T (&c_array)[N], const SC& shape, layout_type l = L)
{
return adapt(&c_array[0], N, xt::no_ownership(), shape, l);
}
/**
* Constructs an xarray_adaptor of the given C array allocated on the stack, with the
* specified shape and stirdes.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the xarray_adaptor
* @param strides the strides of the xarray_adaptor
*/
template <
class T,
std::size_t N,
class SC,
class SS,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline auto adapt(T (&c_array)[N], SC&& shape, SS&& strides)
{
return adapt(&c_array[0], N, xt::no_ownership(), std::forward<SC>(shape), std::forward<SS>(strides));
}
/***************************
* xtensor_adaptor builder *
***************************/
/**
* Constructs a 1-D xtensor_adaptor of the given stl-like container,
* with the specified layout_type.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param l the layout_type of the xtensor_adaptor
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class C>
inline xtensor_adaptor<C, 1, L> adapt(C&& container, layout_type l = L)
{
const std::array<typename std::decay_t<C>::size_type, 1> shape{container.size()};
using return_type = xtensor_adaptor<xtl::closure_type_t<C>, 1, L>;
return return_type(std::forward<C>(container), shape, l);
}
/**
* Constructs an xtensor_adaptor of the given stl-like container,
* with the specified shape and layout_type.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param shape the shape of the xtensor_adaptor
* @param l the layout_type of the xtensor_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class C,
class SC,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>, detail::not_a_pointer<C>)>
inline xtensor_adaptor<C, detail::array_size<SC>::value, L>
adapt(C&& container, const SC& shape, layout_type l = L)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
constexpr std::size_t N = detail::array_size<SC>::value;
using return_type = xtensor_adaptor<xtl::closure_type_t<C>, N, L>;
return return_type(std::forward<C>(container), shape, l);
}
/**
* Constructs an non-owning xtensor_adaptor from a pointer with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to adapt
* @param shape the shape of the xtensor_adaptor
* @param l the layout_type of the xtensor_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class C,
class SC,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>, std::is_pointer<std::remove_reference_t<C>>)>
inline auto adapt(C&& pointer, const SC& shape, layout_type l = L)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
using buffer_type = xbuffer_adaptor<C, xt::no_ownership, detail::default_allocator_for_ptr_t<C>>;
constexpr std::size_t N = detail::array_size<SC>::value;
using return_type = xtensor_adaptor<buffer_type, N, L>;
return return_type(buffer_type(pointer, compute_size(shape)), shape, l);
}
/**
* Constructs an xtensor_adaptor of the given stl-like container,
* with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param shape the shape of the xtensor_adaptor
* @param strides the strides of the xtensor_adaptor
*/
template <
class C,
class SC,
class SS,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline xtensor_adaptor<C, detail::array_size<SC>::value, layout_type::dynamic>
adapt(C&& container, SC&& shape, SS&& strides)
{
static_assert(!xtl::is_integral<std::decay_t<SC>>::value, "shape cannot be a integer");
constexpr std::size_t N = detail::array_size<SC>::value;
using return_type = xtensor_adaptor<xtl::closure_type_t<C>, N, layout_type::dynamic>;
return return_type(
std::forward<C>(container),
xtl::forward_sequence<typename return_type::inner_shape_type, SC>(shape),
xtl::forward_sequence<typename return_type::inner_strides_type, SS>(strides)
);
}
/**
* Constructs a 1-D xtensor_adaptor of the given dynamically allocated C array,
* with the specified layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param l the layout_type of the xtensor_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class P, class O, class A = detail::default_allocator_for_ptr_t<P>>
inline xtensor_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, 1, L>
adapt(P&& pointer, typename A::size_type size, O ownership, layout_type l = L, const A& alloc = A())
{
(void) ownership;
using buffer_type = xbuffer_adaptor<xtl::closure_type_t<P>, O, A>;
using return_type = xtensor_adaptor<buffer_type, 1, L>;
buffer_type buf(std::forward<P>(pointer), size, alloc);
const std::array<typename A::size_type, 1> shape{size};
return return_type(std::move(buf), shape, l);
}
/**
* Constructs an xtensor_adaptor of the given dynamically allocated C array,
* with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the xtensor_adaptor
* @param l the layout_type of the xtensor_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class P,
class O,
class SC,
class A = detail::default_allocator_for_ptr_t<P>,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>)>
inline xtensor_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, detail::array_size<SC>::value, L>
adapt(
P&& pointer,
typename A::size_type size,
O ownership,
const SC& shape,
layout_type l = L,
const A& alloc = A()
)
{
static_assert(!xtl::is_integral<SC>::value, "shape cannot be a integer");
(void) ownership;
using buffer_type = xbuffer_adaptor<xtl::closure_type_t<P>, O, A>;
constexpr std::size_t N = detail::array_size<SC>::value;
using return_type = xtensor_adaptor<buffer_type, N, L>;
buffer_type buf(std::forward<P>(pointer), size, alloc);
return return_type(std::move(buf), shape, l);
}
/**
* Constructs an xtensor_adaptor of the given dynamically allocated C array,
* with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the xtensor_adaptor
* @param strides the strides of the xtensor_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <
class P,
class O,
class SC,
class SS,
class A = detail::default_allocator_for_ptr_t<P>,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline xtensor_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, detail::array_size<SC>::value, layout_type::dynamic>
adapt(P&& pointer, typename A::size_type size, O ownership, SC&& shape, SS&& strides, const A& alloc = A())
{
static_assert(!xtl::is_integral<std::decay_t<SC>>::value, "shape cannot be a integer");
(void) ownership;
using buffer_type = xbuffer_adaptor<xtl::closure_type_t<P>, O, A>;
constexpr std::size_t N = detail::array_size<SC>::value;
using return_type = xtensor_adaptor<buffer_type, N, layout_type::dynamic>;
buffer_type buf(std::forward<P>(pointer), size, alloc);
return return_type(
std::move(buf),
xtl::forward_sequence<typename return_type::inner_shape_type, SC>(shape),
xtl::forward_sequence<typename return_type::inner_strides_type, SS>(strides)
);
}
/**
* Constructs an xtensor_adaptor of the given C array allocated on the stack, with the
* specified shape and layout.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the xarray_adaptor
* @param l the layout_type of the xarray_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class T,
std::size_t N,
class SC,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>)>
inline auto adapt(T (&c_array)[N], const SC& shape, layout_type l = L)
{
return adapt(&c_array[0], N, xt::no_ownership(), shape, l);
}
/**
* Constructs an xtensor_adaptor of the given C array allocated on the stack, with the
* specified shape and strides.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the xarray_adaptor
* @param strides the strides of the xarray_adaptor
*/
template <
class T,
std::size_t N,
class SC,
class SS,
XTL_REQUIRES(detail::is_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<SS>>)>
inline auto adapt(T (&c_array)[N], SC&& shape, SS&& strides)
{
return adapt(&c_array[0], N, xt::no_ownership(), std::forward<SC>(shape), std::forward<SS>(strides));
}
/**
* Constructs an non-owning xtensor_fixed_adaptor from a pointer with the
* specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to adapt
* @param shape the shape of the xtensor_fixed_adaptor
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class C,
std::size_t... X,
XTL_REQUIRES(std::is_pointer<std::remove_reference_t<C>>)>
inline auto adapt(C&& pointer, const fixed_shape<X...>& /*shape*/)
{
using buffer_type = xbuffer_adaptor<C, xt::no_ownership, detail::default_allocator_for_ptr_t<C>>;
using return_type = xfixed_adaptor<buffer_type, fixed_shape<X...>, L>;
return return_type(buffer_type(pointer, detail::fixed_compute_size<fixed_shape<X...>>::value));
}
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class C, class T, std::size_t N>
inline auto adapt(C&& ptr, const T (&shape)[N])
{
using shape_type = std::array<std::size_t, N>;
return adapt(std::forward<C>(ptr), xtl::forward_sequence<shape_type, decltype(shape)>(shape));
}
#else // IN_DOXYGEN
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* from the given stl-like container or pointer, with the specified shape and layout.
* If the adaptor is built from a pointer, it does not take its ownership.
*
* @ingroup xt_xadapt
* @param container the container or pointer to adapt
* @param shape the shape of the adaptor
* @param l the layout_type of the adaptor
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class C, class SC>
inline auto adapt(C&& container, const SC& shape, layout_type l = L);
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* from the given stl-like container with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param shape the shape of the adaptor
* @param strides the strides of the adaptor
*/
template <class C, class SC, class SS>
inline auto adapt(C&& container, SC&& shape, SS&& strides);
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* of the given dynamically allocated C array, with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the adaptor
* @param l the layout_type of the adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class P, class O, class SC, class A = detail::default_allocator_for_ptr_t<P>>
inline auto adapt(
P&& pointer,
typename A::size_type size,
O ownership,
const SC& shape,
layout_type l = L,
const A& alloc = A()
);
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* of the given dynamically allocated C array, with the specified shape and strides.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param shape the shape of the adaptor
* @param strides the strides of the adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <class P, class O, class SC, class SS, class A = detail::default_allocator_for_ptr_t<P>>
inline auto
adapt(P&& pointer, typename A::size_type size, O ownership, SC&& shape, SS&& strides, const A& alloc = A());
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* of the given C array allocated on the stack, with the specified shape and layout.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the adaptor
* @param l the layout_type of the adaptor
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class T, std::size_t N, class SC>
inline auto adapt(T (&c_array)[N], const SC& shape, layout_type l = L);
/**
* Constructs:
* - an xarray_adaptor if SC is not an array type
* - an xtensor_adaptor if SC is an array type
*
* of the given C array allocated on the stack, with the
* specified shape and strides.
*
* @ingroup xt_xadapt
* @param c_array the C array allocated on the stack
* @param shape the shape of the adaptor
* @param strides the strides of the adaptor
*/
template <class T, std::size_t N, class SC, class SS>
inline auto adapt(T (&c_array)[N], SC&& shape, SS&& strides);
/**
* Constructs an non-owning xtensor_fixed_adaptor from a pointer with the
* specified shape and layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to adapt
* @param shape the shape of the xtensor_fixed_adaptor
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class C, std::size_t... X>
inline auto adapt(C&& pointer, const fixed_shape<X...>& /*shape*/);
/**
* Constructs a 1-D xtensor_adaptor of the given stl-like container,
* with the specified layout_type.
*
* @ingroup xt_xadapt
* @param container the container to adapt
* @param l the layout_type of the xtensor_adaptor
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class C>
inline xtensor_adaptor<C, 1, L> adapt(C&& container, layout_type l = L);
/**
* Constructs a 1-D xtensor_adaptor of the given dynamically allocated C array,
* with the specified layout.
*
* @ingroup xt_xadapt
* @param pointer the pointer to the beginning of the dynamic array
* @param size the size of the dynamic array
* @param ownership indicates whether the adaptor takes ownership of the array.
* Possible values are ``no_ownership()`` or ``acquire_ownership()``
* @param l the layout_type of the xtensor_adaptor
* @param alloc the allocator used for allocating / deallocating the dynamic array
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class P, class O, class A = detail::default_allocator_for_ptr_t<P>>
inline xtensor_adaptor<xbuffer_adaptor<xtl::closure_type_t<P>, O, A>, 1, L>
adapt(P&& pointer, typename A::size_type size, O ownership, layout_type l = L, const A& alloc = A());
#endif // IN_DOXYGEN
/*****************************
* smart_ptr adapter builder *
*****************************/
/**
* Adapt a smart pointer to a typed memory block (unique_ptr or shared_ptr)
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
* #include <xtensor/xio.hpp>
*
* std::shared_ptr<double> sptr(new double[8], std::default_delete<double[]>());
* sptr.get()[2] = 321.;
* std::vector<size_t> shape = {4, 2};
* auto xptr = adapt_smart_ptr(sptr, shape);
* xptr(1, 3) = 123.;
* std::cout << xptr;
* @endcode
*
* @ingroup xt_xadapt
* @param smart_ptr a smart pointer to a memory block of T[]
* @param shape The desired shape
* @param l The desired memory layout
*
* @return xarray_adaptor for memory
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class P, class SC, XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>)>
auto adapt_smart_ptr(P&& smart_ptr, const SC& shape, layout_type l = L)
{
using buffer_adaptor = xbuffer_adaptor<decltype(smart_ptr.get()), smart_ownership, std::decay_t<P>>;
return xarray_adaptor<buffer_adaptor, L, std::decay_t<SC>>(
buffer_adaptor(smart_ptr.get(), compute_size(shape), std::forward<P>(smart_ptr)),
shape,
l
);
}
/**
* Adapt a smart pointer (shared_ptr or unique_ptr)
*
* This function allows to automatically adapt a shared or unique pointer to
* a given shape and operate naturally on it. Memory will be automatically
* handled by the smart pointer implementation.
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
* #include <xtensor/xio.hpp>
*
* struct Buffer {
* Buffer(std::vector<double>& buf) : m_buf(buf) {}
* ~Buffer() { std::cout << "deleted" << std::endl; }
* std::vector<double> m_buf;
* };
*
* auto data = std::vector<double>{1,2,3,4,5,6,7,8};
* auto shared_buf = std::make_shared<Buffer>(data);
* auto unique_buf = std::make_unique<Buffer>(data);
*
* std::cout << shared_buf.use_count() << std::endl;
* {
* std::vector<size_t> shape = {2, 4};
* auto obj = adapt_smart_ptr(shared_buf.get()->m_buf.data(),
* shape, shared_buf);
* // Use count increased to 2
* std::cout << shared_buf.use_count() << std::endl;
* std::cout << obj << std::endl;
* }
* // Use count reset to 1
* std::cout << shared_buf.use_count() << std::endl;
*
* {
* std::vector<size_t> shape = {2, 4};
* auto obj = adapt_smart_ptr(unique_buf.get()->m_buf.data(),
* shape, std::move(unique_buf));
* std::cout << obj << std::endl;
* }
* @endcode
*
* @ingroup xt_xadapt
* @param data_ptr A pointer to a typed data block (e.g. double*)
* @param shape The desired shape
* @param smart_ptr A smart pointer to move or copy, in order to manage memory
* @param l The desired memory layout
*
* @return xarray_adaptor on the memory
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class P,
class SC,
class D,
XTL_REQUIRES(detail::not_an_array<std::decay_t<SC>>, detail::not_a_layout<std::decay_t<D>>)>
auto adapt_smart_ptr(P&& data_ptr, const SC& shape, D&& smart_ptr, layout_type l = L)
{
using buffer_adaptor = xbuffer_adaptor<P, smart_ownership, std::decay_t<D>>;
return xarray_adaptor<buffer_adaptor, L, std::decay_t<SC>>(
buffer_adaptor(data_ptr, compute_size(shape), std::forward<D>(smart_ptr)),
shape,
l
);
}
/**
* Adapt a smart pointer to a typed memory block (unique_ptr or shared_ptr)
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
* #include <xtensor/xio.hpp>
*
* std::shared_ptr<double> sptr(new double[8], std::default_delete<double[]>());
* sptr.get()[2] = 321.;
* auto xptr = adapt_smart_ptr(sptr, {4, 2});
* xptr(1, 3) = 123.;
* std::cout << xptr;
* @endcode
*
* @ingroup xt_xadapt
* @param smart_ptr a smart pointer to a memory block of T[]
* @param shape The desired shape
* @param l The desired memory layout
*
* @return xtensor_adaptor for memory
*/
template <layout_type L = XTENSOR_DEFAULT_LAYOUT, class P, class I, std::size_t N>
auto adapt_smart_ptr(P&& smart_ptr, const I (&shape)[N], layout_type l = L)
{
using buffer_adaptor = xbuffer_adaptor<decltype(smart_ptr.get()), smart_ownership, std::decay_t<P>>;
std::array<std::size_t, N> fshape = xtl::forward_sequence<std::array<std::size_t, N>, decltype(shape)>(
shape
);
return xtensor_adaptor<buffer_adaptor, N, L>(
buffer_adaptor(smart_ptr.get(), compute_size(fshape), std::forward<P>(smart_ptr)),
std::move(fshape),
l
);
}
/**
* Adapt a smart pointer (shared_ptr or unique_ptr)
*
* This function allows to automatically adapt a shared or unique pointer to
* a given shape and operate naturally on it. Memory will be automatically
* handled by the smart pointer implementation.
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
* #include <xtensor/xio.hpp>
*
* struct Buffer {
* Buffer(std::vector<double>& buf) : m_buf(buf) {}
* ~Buffer() { std::cout << "deleted" << std::endl; }
* std::vector<double> m_buf;
* };
*
* auto data = std::vector<double>{1,2,3,4,5,6,7,8};
* auto shared_buf = std::make_shared<Buffer>(data);
* auto unique_buf = std::make_unique<Buffer>(data);
*
* std::cout << shared_buf.use_count() << std::endl;
* {
* auto obj = adapt_smart_ptr(shared_buf.get()->m_buf.data(),
* {2, 4}, shared_buf);
* // Use count increased to 2
* std::cout << shared_buf.use_count() << std::endl;
* std::cout << obj << std::endl;
* }
* // Use count reset to 1
* std::cout << shared_buf.use_count() << std::endl;
*
* {
* auto obj = adapt_smart_ptr(unique_buf.get()->m_buf.data(),
* {2, 4}, std::move(unique_buf));
* std::cout << obj << std::endl;
* }
* @endcode
*
* @ingroup xt_xadapt
* @param data_ptr A pointer to a typed data block (e.g. double*)
* @param shape The desired shape
* @param smart_ptr A smart pointer to move or copy, in order to manage memory
* @param l The desired memory layout
*
* @return xtensor_adaptor on the memory
*/
template <
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class P,
class I,
std::size_t N,
class D,
XTL_REQUIRES(detail::not_a_layout<std::decay_t<D>>)>
auto adapt_smart_ptr(P&& data_ptr, const I (&shape)[N], D&& smart_ptr, layout_type l = L)
{
using buffer_adaptor = xbuffer_adaptor<P, smart_ownership, std::decay_t<D>>;
std::array<std::size_t, N> fshape = xtl::forward_sequence<std::array<std::size_t, N>, decltype(shape)>(
shape
);
return xtensor_adaptor<buffer_adaptor, N, L>(
buffer_adaptor(data_ptr, compute_size(fshape), std::forward<D>(smart_ptr)),
std::move(fshape),
l
);
}
/**
* @brief xtensor adaptor for a pointer.
*
* Construct for example with:
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
*
* std::array<size_t, 2> shape = {2, 2};
* std::vector<double> data = {1, 2, 3, 4};
*
* xt::xtensor_pointer<double, 2> a = xt::adapt(data.data(), 4, xt::no_ownership(), shape);
* @endcode
*
* @ingroup xt_xadapt
* @tparam T The data type (e.g. ``double``).
* @tparam N The number of dimensions.
* @tparam L The xt::layout_type() of the xtensor.
*/
template <class T, std::size_t N, layout_type L = XTENSOR_DEFAULT_LAYOUT>
using xtensor_pointer = xtensor_adaptor<
xbuffer_adaptor<xtl::closure_type_t<T*>, xt::no_ownership, detail::default_allocator_for_ptr_t<T>>,
N,
L>;
/**
* @brief xarray adaptor for a pointer.
*
* Construct for example with:
*
* @code{.cpp}
* #include <xtensor/xadapt.hpp>
*
* std::vector<int> data(4, 0);
* xt::svector<size_t> shape({2, 2});
*
* xt::xarray_pointer<int> a = xt::adapt(data.data(), data.size(), xt::no_ownership(), shape);
* @endcode
*
* @ingroup xt_xadapt
* @tparam T The data type (e.g. ``double``).
* @tparam L The xt::layout_type() of the xarray.
* @tparam SC The shape container type (e.g. ``xt::svector<size_t>``). Default matches
* xt::adapt(P&&, typename A::size_type, O, const SC&, layout_type, const A& alloc)
*/
template <
class T,
layout_type L = XTENSOR_DEFAULT_LAYOUT,
class SC = XTENSOR_DEFAULT_SHAPE_CONTAINER(T, std::allocator<std::size_t>, std::allocator<std::size_t>)>
using xarray_pointer = xarray_adaptor<
xbuffer_adaptor<xtl::closure_type_t<T*>, xt::no_ownership, detail::default_allocator_for_ptr_t<T>>,
L,
SC>;
}
#endif
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