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							283 lines
						
					
					
						
							8.0 KiB
						
					
					
				
								.. _basics:
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								First steps
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								###########
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								This sections demonstrates the basic features of pybind11. Before getting
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								started, make sure that development environment is set up to compile the
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								included set of test cases.
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								Compiling the test cases
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								========================
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								Linux/MacOS
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								-----------
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								On Linux  you'll need to install the **python-dev** or **python3-dev** packages as
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								well as **cmake**. On Mac OS, the included python version works out of the box,
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								but **cmake** must still be installed.
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								After installing the prerequisites, run
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								.. code-block:: bash
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								   mkdir build
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								   cd build
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								   cmake ..
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								   make check -j 4
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								The last line will both compile and run the tests.
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								Windows
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								-------
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								On Windows, only **Visual Studio 2015** and newer are supported since pybind11 relies
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								on various C++11 language features that break older versions of Visual Studio.
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								To compile and run the tests:
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								.. code-block:: batch
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								   mkdir build
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								   cd build
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								   cmake ..
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								   cmake --build . --config Release --target check
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								This will create a Visual Studio project, compile and run the target, all from the
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								command line.
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								.. Note::
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								    If all tests fail, make sure that the Python binary and the testcases are compiled
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								    for the same processor type and bitness (i.e. either **i386** or **x86_64**). You
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								    can specify **x86_64** as the target architecture for the generated Visual Studio
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								    project using ``cmake -A x64 ..``.
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								.. seealso::
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								    Advanced users who are already familiar with Boost.Python may want to skip
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								    the tutorial and look at the test cases in the :file:`tests` directory,
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								    which exercise all features of pybind11.
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								Header and namespace conventions
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								================================
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								For brevity, all code examples assume that the following two lines are present:
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								.. code-block:: cpp
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								    #include <pybind11/pybind11.h>
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								    namespace py = pybind11;
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								Some features may require additional headers, but those will be specified as needed.
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								Creating bindings for a simple function
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								=======================================
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								Let's start by creating Python bindings for an extremely simple function, which
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								adds two numbers and returns their result:
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								.. code-block:: cpp
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								    int add(int i, int j) {
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								        return i + j;
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								    }
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								For simplicity [#f1]_, we'll put both this function and the binding code into
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								a file named :file:`example.cpp` with the following contents:
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								.. code-block:: cpp
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								    #include <pybind11/pybind11.h>
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								    int add(int i, int j) {
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								        return i + j;
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								    }
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								    PYBIND11_MODULE(example, m) {
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								        m.doc() = "pybind11 example plugin"; // optional module docstring
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								        m.def("add", &add, "A function which adds two numbers");
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								    }
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								.. [#f1] In practice, implementation and binding code will generally be located
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								         in separate files.
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								The :func:`PYBIND11_MODULE` macro creates a function that will be called when an
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								``import`` statement is issued from within Python. The module name (``example``)
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								is given as the first macro argument (it should not be in quotes). The second
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								argument (``m``) defines a variable of type :class:`py::module <module>` which
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								is the main interface for creating bindings. The method :func:`module::def`
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								generates binding code that exposes the ``add()`` function to Python.
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								.. note::
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								    Notice how little code was needed to expose our function to Python: all
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								    details regarding the function's parameters and return value were
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								    automatically inferred using template metaprogramming. This overall
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								    approach and the used syntax are borrowed from Boost.Python, though the
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								    underlying implementation is very different.
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								pybind11 is a header-only-library, hence it is not necessary to link against
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								any special libraries (other than Python itself). On Windows, use the CMake
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								build file discussed in section :ref:`cmake`. On Linux and Mac OS, the above
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								example can be compiled using the following command
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								.. code-block:: bash
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								    $ c++ -O3 -shared -std=c++11 -I <path-to-pybind11>/include `python-config --cflags --ldflags` example.cpp -o example.so
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								In general, it is advisable to include several additional build parameters
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								that can considerably reduce the size of the created binary. Refer to section
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								:ref:`cmake` for a detailed example of a suitable cross-platform CMake-based
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								build system.
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								Assuming that the created file :file:`example.so` (:file:`example.pyd` on Windows)
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								is located in the current directory, the following interactive Python session
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								shows how to load and execute the example.
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								.. code-block:: pycon
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								    $ python
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								    Python 2.7.10 (default, Aug 22 2015, 20:33:39)
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								    [GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.59.1)] on darwin
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								    Type "help", "copyright", "credits" or "license" for more information.
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								    >>> import example
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								    >>> example.add(1, 2)
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								    3L
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								    >>>
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								.. _keyword_args:
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								Keyword arguments
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								=================
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								With a simple modification code, it is possible to inform Python about the
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								names of the arguments ("i" and "j" in this case).
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								.. code-block:: cpp
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								    m.def("add", &add, "A function which adds two numbers",
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								          py::arg("i"), py::arg("j"));
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								:class:`arg` is one of several special tag classes which can be used to pass
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								metadata into :func:`module::def`. With this modified binding code, we can now
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								call the function using keyword arguments, which is a more readable alternative
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								particularly for functions taking many parameters:
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								.. code-block:: pycon
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								    >>> import example
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								    >>> example.add(i=1, j=2)
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								    3L
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								The keyword names also appear in the function signatures within the documentation.
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								.. code-block:: pycon
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								    >>> help(example)
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								    ....
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								    FUNCTIONS
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								        add(...)
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								            Signature : (i: int, j: int) -> int
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								            A function which adds two numbers
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								A shorter notation for named arguments is also available:
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								.. code-block:: cpp
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								    // regular notation
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								    m.def("add1", &add, py::arg("i"), py::arg("j"));
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								    // shorthand
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								    using namespace pybind11::literals;
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								    m.def("add2", &add, "i"_a, "j"_a);
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								The :var:`_a` suffix forms a C++11 literal which is equivalent to :class:`arg`.
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								Note that the literal operator must first be made visible with the directive
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								``using namespace pybind11::literals``. This does not bring in anything else
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								from the ``pybind11`` namespace except for literals.
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								.. _default_args:
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								Default arguments
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								=================
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								Suppose now that the function to be bound has default arguments, e.g.:
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								.. code-block:: cpp
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								    int add(int i = 1, int j = 2) {
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								        return i + j;
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								    }
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								Unfortunately, pybind11 cannot automatically extract these parameters, since they
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								are not part of the function's type information. However, they are simple to specify
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								using an extension of :class:`arg`:
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								.. code-block:: cpp
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								    m.def("add", &add, "A function which adds two numbers",
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								          py::arg("i") = 1, py::arg("j") = 2);
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								The default values also appear within the documentation.
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								.. code-block:: pycon
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								    >>> help(example)
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								    ....
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								    FUNCTIONS
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								        add(...)
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								            Signature : (i: int = 1, j: int = 2) -> int
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								            A function which adds two numbers
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								The shorthand notation is also available for default arguments:
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								.. code-block:: cpp
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								    // regular notation
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								    m.def("add1", &add, py::arg("i") = 1, py::arg("j") = 2);
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								    // shorthand
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								    m.def("add2", &add, "i"_a=1, "j"_a=2);
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								Exporting variables
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								===================
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								To expose a value from C++, use the ``attr`` function to register it in a
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								module as shown below. Built-in types and general objects (more on that later)
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								are automatically converted when assigned as attributes, and can be explicitly
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								converted using the function ``py::cast``.
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								.. code-block:: cpp
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								    PYBIND11_MODULE(example, m) {
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								        m.attr("the_answer") = 42;
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								        py::object world = py::cast("World");
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								        m.attr("what") = world;
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								    }
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								These are then accessible from Python:
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								.. code-block:: pycon
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								    >>> import example
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								    >>> example.the_answer
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								    42
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								    >>> example.what
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								    'World'
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								.. _supported_types:
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								Supported data types
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								====================
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								A large number of data types are supported out of the box and can be used
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								seamlessly as functions arguments, return values or with ``py::cast`` in general.
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								For a full overview, see the :doc:`advanced/cast/index` section.
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