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52 changes: 52 additions & 0 deletions docs/source/examples.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@

********
Examples
********

.. seealso::

`Medium post by Johan Mabille <https://medium.com/@johan.mabille/designing-language-bindings-with-xtensor-f32aa0f20db>`__

Option 4: type restriction with SFINAE
======================================

In this example we will design a module with a function that accepts an ``xt::xtensor`` as argument, but in such a way that an ``xt::pyxtensor`` can be accepted in the Python module. We will achieve this with the principle of SFINAE (Substitution Failure Is Not An Error).

Our example has the following file-structure.

.. code-block:: none

examples/sfinae
|- src
| |- foobar.hpp
| |- python.cpp
|- CMakeLists.txt
|- main.cpp

The module has one function that accepts an ``xt::xtensor`` as argument:

:download:`src/foobar.hpp <examples/sfinae/src/foobar.hpp>`

.. literalinclude:: examples/sfinae/src/foobar.hpp
:language: cpp

Consequently from C++, the interaction with the module's function is trivial

:download:`main.cpp <examples/sfinae/main.cpp>`

.. literalinclude:: examples/sfinae/main.cpp
:language: cpp

From the Python module, we will add an additional overload to the template

:download:`src/python.cpp <examples/sfinae/src/python.cpp>`

.. literalinclude:: examples/sfinae/src/python.cpp
:language: cpp

There are several options to build the module. Using cmake we can use the following ``CMakeLists.txt``:

:download:`CMakeLists.txt <examples/sfinae/CMakeLists.txt>`

.. literalinclude:: examples/sfinae/CMakeLists.txt
:language: cmake
32 changes: 32 additions & 0 deletions docs/source/examples/sfinae/CMakeLists.txt
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cmake_minimum_required(VERSION 3.1)

project(foobar)

find_package(xtl REQUIRED)
find_package(xtensor REQUIRED)
find_package(pybind11 REQUIRED)
find_package(xtensor-python REQUIRED)

add_library(foobar src/python.cpp)

if(MSVC)
target_compile_options(foobar PRIVATE /EHsc /MP /bigobj)
set(CMAKE_EXE_LINKER_FLAGS /MANIFEST:NO)
endif()

if (CMAKE_CXX_COMPILER_ID MATCHES "Clang" OR
CMAKE_CXX_COMPILER_ID MATCHES "GNU" OR
(CMAKE_CXX_COMPILER_ID MATCHES "Intel" AND NOT WIN32))
target_compile_options(foobar PRIVATE -march=native -std=c++14)
endif()

target_link_libraries(foobar
PRIVATE
pybind11::pybind11
xtensor
xtensor-python)

set_target_properties(foobar
PROPERTIES
PREFIX "${PYTHON_MODULE_PREFIX}"
SUFFIX "${PYTHON_MODULE_EXTENSION}")
9 changes: 9 additions & 0 deletions docs/source/examples/sfinae/main.cpp
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@@ -0,0 +1,9 @@
#include "src/foobar.hpp"

int main()
{
xt::xtensor<size_t,2> a = xt::arange<size_t>(2 * 3).reshape({2, 3});
foobar::compute(a);
std::cout << a << std::endl;
return 0;
}
27 changes: 27 additions & 0 deletions docs/source/examples/sfinae/src/foobar.hpp
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@@ -0,0 +1,27 @@
#include <xtensor/xtensor.hpp>
#include <xtensor/xio.hpp>

namespace foobar {

template <class C>
struct is_tensor : std::false_type
{
};

template <class T, std::size_t N, xt::layout_type L, class Tag>
struct is_tensor<xt::xtensor<T, N, L, Tag>> : std::true_type
{
};

template <template<class> class C, class T>
using check_constraints = std::enable_if_t<C<T>::value, bool>;

template <class T, template <class> class C = is_tensor,
check_constraints<C, T> = true>
void compute(T& t)
{
using value_type = typename T::value_type;
t *= (value_type)(2);
}

}
19 changes: 19 additions & 0 deletions docs/source/examples/sfinae/src/python.cpp
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@@ -0,0 +1,19 @@
#include <pybind11/pybind11.h>
#define FORCE_IMPORT_ARRAY
#include <xtensor-python/pytensor.hpp>

namespace foobar {

template <class T, std::size_t N, xt::layout_type L>
struct is_tensor<xt::pytensor<T, N, L>> : std::true_type
{
};

}

PYBIND11_MODULE(foobar, m)
{
xt::import_numpy();

m.def("compute", &foobar::compute<xt::pytensor<double, 2>>);
}
10 changes: 5 additions & 5 deletions docs/source/index.rst
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Expand Up @@ -16,7 +16,7 @@ What are ``xtensor`` and ``xtensor-python``?
- ``xtensor`` is a C++ library for multi-dimensional arrays enabling numpy-style broadcasting and lazy computing.
- ``xtensor-python`` enables inplace use of numpy arrays with all the benefits from ``xtensor``

- C++ universal functions and broadcasting
- C++ universal functions and broadcasting
- STL - compliant APIs.


Expand Down Expand Up @@ -54,7 +54,6 @@ This software is licensed under the BSD-3-Clause license. See the LICENSE file f

installation


.. toctree::
:caption: USAGE
:maxdepth: 2
Expand All @@ -63,6 +62,7 @@ This software is licensed under the BSD-3-Clause license. See the LICENSE file f
array_tensor
numpy_capi
cookiecutter
examples

.. toctree::
:caption: API REFERENCE
Expand All @@ -78,7 +78,7 @@ This software is licensed under the BSD-3-Clause license. See the LICENSE file f

.. _NumPy: http://www.numpy.org
.. _`Buffer Protocol`: https://docs.python.org/3/c-api/buffer.html
.. _`numpy to xtensor cheat sheet`: http://xtensor.readthedocs.io/en/latest/numpy.html
.. _`numpy to xtensor cheat sheet`: http://xtensor.readthedocs.io/en/latest/numpy.html
.. _xtensor: https://github.com/QuantStack/xtensor
.. _pybind11: https://github.com/pybind/pybind11
.. _xtensor-python-cookiecutter: https://github.com/QuantStack/xtensor-python-cookiecutter
.. _pybind11: https://github.com/pybind/pybind11
.. _xtensor-python-cookiecutter: https://github.com/QuantStack/xtensor-python-cookiecutter