xtensor-python/include/xtensor-python/pyarray.hpp at master · llllllllll/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 PY_ARRAY_HPP

#define PY_ARRAY_HPP

#include <cstddef>

#include <algorithm>

#include <vector>

#include "pybind11/numpy.h"

#include "xtensor/xexpression.hpp"

#include "xtensor/xsemantic.hpp"

#include "xtensor/xiterator.hpp"

namespace xt

{

template <class T, int ExtraFlags>

class pyarray;

}

namespace pybind11

{

namespace detail

{

template <typename T, int ExtraFlags>

struct pyobject_caster<xt::pyarray<T, ExtraFlags>>

{

using type = xt::pyarray<T, ExtraFlags>;

bool load(handle src, bool)

{

value = type::ensure(src);

return static_cast<bool>(value);

}

static handle cast(const handle &src, return_value_policy, handle)

{

return src.inc_ref();

}

PYBIND11_TYPE_CASTER(type, handle_type_name<type>::name());

};

}

namespace xt

{

using pybind_array = pybind11::array;

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

* pyarray declaration *

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

template <class T, int ExtraFlags>

class pyarray;

template <class T, int ExtraFlags>

struct xcontainer_inner_types<pyarray<T, ExtraFlags>>

{

using temporary_type = pyarray<T, ExtraFlags>;

};

template <class A>

class pyarray_backstrides

{

public:

using array_type = A;

using value_type = typename array_type::size_type;

using size_type = typename array_type::size_type;

pyarray_backstrides(const A& a);

value_type operator[](size_type i) const;

private:

const pybind_array* p_a;

};

/**

* @class pyarray

* @brief Wrapper on the Python buffer protocol.

template <class T, int ExtraFlags = pybind_array::forcecast>

class pyarray : public pybind_array,

public xcontainer_semantic<pyarray<T, ExtraFlags>>

{

public:

using self_type = pyarray<T, ExtraFlags>;

using base_type = pybind_array;

using semantic_base = xcontainer_semantic<self_type>;

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 storage_iterator = T*;

using const_storage_iterator = const T*;

using shape_type = std::vector<size_type>;

using strides_type = std::vector<size_type>;

using backstrides_type = pyarray_backstrides<self_type>;

using stepper = xstepper<self_type>;

using const_stepper = xstepper<const self_type>;

using iterator = xiterator<stepper, shape_type>;

using const_iterator = xiterator<const_stepper, shape_type>;

using closure_type = const self_type&;

pyarray();

pyarray(pybind11::handle h, borrowed_t);

pyarray(pybind11::handle h, stolen_t);

pyarray(const pybind11::object &o);

pyarray(const shape_type& shape,

const strides_type& strides,

const T* ptr = nullptr,

handle base = handle());

explicit pyarray(const shape_type& shape,

const T* ptr = nullptr,

handle base = handle());

explicit pyarray(size_type count,

const T* ptr = nullptr,

handle base = handle());

size_type dimension() const;

const shape_type& shape() const;

const strides_type& strides() const;

backstrides_type backstrides() const;

void reshape(const shape_type& shape);

void reshape(const shape_type& shape, layout l);

void reshape(const shape_type& shape, const strides_type& strides);

template<typename... Args>

reference operator()(Args... args);

template<typename... Args>

const_reference operator()(Args... args) const;

reference operator[](const xindex& index);

const_reference operator[](const xindex& index) const;

template<typename... Args>

pointer data(Args... args);

template<typename... Args>

const_pointer data(Args... args) const;

template <class S>

bool broadcast_shape(S& shape) const;

template <class S>

bool is_trivial_broadcast(const S& strides) const;

iterator begin();

iterator end();

const_iterator begin() const;

const_iterator end() const;

const_iterator cbegin() const;

const_iterator cend() const;

template <class S>

xiterator<stepper, S> xbegin(const S& shape);

template <class S>

xiterator<stepper, S> xend(const S& shape);

template <class S>

xiterator<const_stepper, S> xbegin(const S& shape) const;

template <class S>

xiterator<const_stepper, S> xend(const S& shape) const;

template <class S>

xiterator<const_stepper, S> cxbegin(const S& shape) const;

template <class S>

xiterator<const_stepper, S> cxend(const S& shape) const;

template <class S>

stepper stepper_begin(const S& shape);

template <class S>

stepper stepper_end(const S& shape);

template <class S>

const_stepper stepper_begin(const S& shape) const;

template <class S>

const_stepper stepper_end(const S& shape) const;

storage_iterator storage_begin();

storage_iterator storage_end();

const_storage_iterator storage_begin() const;

const_storage_iterator storage_end() const;

const_storage_iterator storage_cbegin() const;

const_storage_iterator storage_cend() const;

template <class E>

pyarray(const xexpression<E>& e);

template <class E>

pyarray& operator=(const xexpression<E>& e);

static pyarray ensure(pybind11::handle h);

static bool _check(pybind11::handle h);

private:

template<typename... Args>

size_type index_at(Args... args) const;

size_type data_offset(const xindex& index) const;

static constexpr size_type itemsize();

static bool is_non_null(PyObject* ptr);

mutable shape_type m_shape;

mutable strides_type m_strides;

static PyObject* raw_array_t(PyObject* ptr);

};

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

* pyarray_backstrides implementation *

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

template <class A>

inline pyarray_backstrides<A>::pyarray_backstrides(const A& a)

: p_a(&a)

{

}

template <class A>

inline auto pyarray_backstrides<A>::operator[](size_type i) const -> value_type

{

value_type sh = p_a->shape()[i];

value_type res = sh == 1 ? 0 : (sh - 1) * p_a->strides()[i] / sizeof(typename A::value_type);

return res;

}

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

* pyarray implementation *

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

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray()

: pybind_array(0, static_cast<const_pointer>(nullptr))

{

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(pybind11::handle h, borrowed_t) : pybind_array(h, borrowed)

{

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(pybind11::handle h, stolen_t) : pybind_array(h, stolen)

{

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(const pybind11::object &o) : pybind_array(raw_array_t(o.ptr()), stolen)

{

if (!m_ptr)

{

throw pybind11::error_already_set();

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(const shape_type& shape,

const strides_type& strides,

const T *ptr,

handle base)

: pybind_array(shape, strides, ptr, base)

{

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(const shape_type& shape,

const T* ptr,

handle base)

: pybind_array(shape, ptr, base)

{

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags>::pyarray(size_type count,

const T* ptr,

handle base)

: pybind_array(count, ptr, base)

{

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::dimension() const -> size_type

{

return pybind_array::ndim();

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::shape() const -> const shape_type&

{

// Until we have the CRTP on shape types, we copy the shape.

m_shape.resize(dimension());

std::copy(pybind_array::shape(), pybind_array::shape() + dimension(), m_shape.begin());

return m_shape;

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::strides() const -> const strides_type&

{

m_strides.resize(dimension());

std::transform(pybind_array::strides(), pybind_array::strides() + dimension(), m_strides.begin(),

[](size_type str) { return str / sizeof(value_type); });

return m_strides;

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::backstrides() const -> backstrides_type

{

backstrides_type tmp(*this);

return tmp;

}

template <class T, int ExtraFlags>

void pyarray<T, ExtraFlags>::reshape(const shape_type& shape)

{

if (!m_ptr || shape.size() != dimension() || !std::equal(shape.begin(), shape.end(), pybind_array::shape()))

{

reshape(shape, layout::row_major);

}

template <class T, int ExtraFlags>

void pyarray<T, ExtraFlags>::reshape(const shape_type& shape, layout l)

{

strides_type strides(shape.size());

size_type data_size = sizeof(value_type);

if (l == layout::row_major)

{

for (size_type i = strides.size(); i != 0; --i)

{

strides[i - 1] = data_size;

data_size = strides[i - 1] * shape[i - 1];

if (shape[i - 1] == 1)

{

strides[i - 1] = 0;

}

else

{

for (size_type i = 0; i < strides.size(); ++i)

{

strides[i] = data_size;

data_size = strides[i] * shape[i];

if (shape[i] == 1)

{

strides[i] = 0;

}

reshape(shape, strides);

}

template <class T, int ExtraFlags>

void pyarray<T, ExtraFlags>::reshape(const shape_type& shape, const strides_type& strides)

{

self_type tmp(shape, strides);

*this = std::move(tmp);

}

template <class T, int ExtraFlags>

template<typename... Args>

inline auto pyarray<T, ExtraFlags>::operator()(Args... args) -> reference

{

return *(static_cast<pointer>(pybind_array::mutable_data()) + pybind_array::byte_offset(args...) / itemsize());

}

template <class T, int ExtraFlags>

template<typename... Args>

inline auto pyarray<T, ExtraFlags>::operator()(Args... args) const -> const_reference

{

return *(static_cast<const_pointer>(pybind_array::data()) + pybind_array::byte_offset(args...) / itemsize());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::operator[](const xindex& index) -> reference

{

return *(static_cast<pointer>(pybind_array::mutable_data()) + data_offset(index));

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::operator[](const xindex& index) const -> const_reference

{

return *(static_cast<const_pointer>(pybind_array::data()) + data_offset(index));

}

template <class T, int ExtraFlags>

template<typename... Args>

inline auto pyarray<T, ExtraFlags>::data(Args... args) -> pointer

{

return static_cast<pointer>(pybind_array::mutable_data(args...));

}

template <class T, int ExtraFlags>

template<typename... Args>

inline auto pyarray<T, ExtraFlags>::data(Args... args) const -> const_pointer

{

return static_cast<const T*>(pybind_array::data(args...));

}

template <class T, int ExtraFlags>

template <class S>

bool pyarray<T, ExtraFlags>::broadcast_shape(S& shape) const

{

return xt::broadcast_shape(this->shape(), shape);

}

template <class T, int ExtraFlags>

template <class S>

bool pyarray<T, ExtraFlags>::is_trivial_broadcast(const S& strides) const

{

return strides.size() == dimension() &&

std::equal(strides.begin(), strides.end(), this->strides().begin());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::begin() -> iterator

{

return xbegin(shape());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::end() -> iterator

{

return xend(shape());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::begin() const -> const_iterator

{

return xbegin(shape());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::end() const -> const_iterator

{

return xend(shape());

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::cbegin() const -> const_iterator

{

return begin();

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::cend() const -> const_iterator

{

return end();

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::xbegin(const S& shape) -> xiterator<stepper, S>

{

return xiterator<stepper, S>(stepper_begin(shape), shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::xend(const S& shape) -> xiterator<stepper, S>

{

return xiterator<stepper, S>(stepper_end(shape), shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::xbegin(const S& shape) const -> xiterator<const_stepper, S>

{

return xiterator<const_stepper, S>(stepper_begin(shape), shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::xend(const S& shape) const -> xiterator<const_stepper, S>

{

return xiterator<const_stepper, S>(stepper_end(shape), shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::cxbegin(const S& shape) const -> xiterator<const_stepper, S>

{

return xbegin(shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::cxend(const S& shape) const -> xiterator<const_stepper, S>

{

return xend(shape);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::stepper_begin(const S& shape) -> stepper

{

size_type offset = shape.size() - dimension();

return stepper(this, storage_begin(), offset);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::stepper_end(const S& shape) -> stepper

{

size_type offset = shape.size() - dimension();

return stepper(this, storage_end(), offset);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::stepper_begin(const S& shape) const -> const_stepper

{

size_type offset = shape.size() - dimension();

return const_stepper(this, storage_begin(), offset);

}

template <class T, int ExtraFlags>

template <class S>

inline auto pyarray<T, ExtraFlags>::stepper_end(const S& shape) const -> const_stepper

{

size_type offset = shape.size() - dimension();

return const_stepper(this, storage_end(), offset);

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_begin() -> storage_iterator

{

return reinterpret_cast<storage_iterator>(pybind11::detail::array_proxy(m_ptr)->data);

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_end() -> storage_iterator

{

return storage_begin() + pybind_array::size();

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_begin() const -> const_storage_iterator

{

return reinterpret_cast<const_storage_iterator>(pybind11::detail::array_proxy(m_ptr)->data);

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_end() const -> const_storage_iterator

{

return storage_begin() + pybind_array::size();

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_cbegin() const -> const_storage_iterator

{

return reinterpret_cast<const_storage_iterator>(pybind11::detail::array_proxy(m_ptr)->data);

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::storage_cend() const -> const_storage_iterator

{

return storage_begin() + pybind_array::size();

}

template <class T, int ExtraFlags>

template <class E>

inline pyarray<T, ExtraFlags>::pyarray(const xexpression<E>& e)

: pybind_array()

{

semantic_base::assign(e);

}

template <class T, int ExtraFlags>

template <class E>

inline auto pyarray<T, ExtraFlags>::operator=(const xexpression<E>& e) -> self_type&

{

return semantic_base::operator=(e);

}

template <class T, int ExtraFlags>

inline pyarray<T, ExtraFlags> pyarray<T, ExtraFlags>::ensure(pybind11::handle h)

{

auto result = pybind11::reinterpret_steal<pyarray>(raw_array_t(h.ptr()));

if (!pybind11::handle(result))

{

PyErr_Clear();

}

return result;

}

template <class T, int ExtraFlags>

inline bool pyarray<T, ExtraFlags>::_check(pybind11::handle h)

{

const auto &api = pybind11::detail::npy_api::get();

return api.PyArray_Check_(h.ptr())

&& api.PyArray_EquivTypes_(pybind11::detail::array_proxy(h.ptr())->descr, pybind11::dtype::of<T>().ptr());

}

// Private methods

template <class T, int ExtraFlags>

template<typename... Args>

inline auto pyarray<T, ExtraFlags>::index_at(Args... args) const -> size_type

{

return pybind_array::byte_offset(args...) / itemsize();

}

template <class T, int ExtraFlags>

inline auto pyarray<T, ExtraFlags>::data_offset(const xindex& index) const -> size_type

{

const strides_type& str = strides();

auto iter = index.begin();

iter += index.size() - str.size();

return std::inner_product(str.begin(), str.end(), iter, size_type(0)) / itemsize();

}

template <class T, int ExtraFlags>

constexpr auto pyarray<T, ExtraFlags>::itemsize() -> size_type

{

return sizeof(value_type);

}

template <class T, int ExtraFlags>

inline bool pyarray<T, ExtraFlags>::is_non_null(PyObject* ptr)

{

return ptr != nullptr;

}

template <class T, int ExtraFlags>

inline PyObject* pyarray<T, ExtraFlags>::raw_array_t(PyObject* ptr)

{

if (ptr == nullptr)

{

return nullptr;

}

return pybind11::detail::npy_api::get().PyArray_FromAny_(

ptr, pybind11::dtype::of<T>().release().ptr(), 0, 0,

pybind11::detail::npy_api::NPY_ENSURE_ARRAY_ | ExtraFlags, nullptr

);

}

#endif

xtensor-python/include/xtensor-python/pyarray.hpp at master · llllllllll/xtensor-python · GitHub

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