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277 lines
10 KiB
ReStructuredText
277 lines
10 KiB
ReStructuredText
.. _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 examples, which also double as 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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cmake .
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make -j 4
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followed by
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.. code-block:: bash
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make test
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Windows
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-------
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On Windows, use the `CMake GUI`_ to create a Visual Studio project. Note that
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only the 2015 release and newer versions are supported since pybind11 relies on
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various C++11 language features that break older versions of Visual Studio.
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After running CMake, open the created :file:`pybind11.sln` file and perform a
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release build, which will will produce a file named
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:file:`Release\\example.pyd`. Copy this file to the :file:`example` directory
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and run :file:`example\\run_test.py` using the targeted Python version.
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.. _`CMake GUI`: https://cmake.org/runningcmake
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.. Note::
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When all tests fail, make sure that
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1. The Python binary and the testcases are compiled for the same processor
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type and bitness (i.e. either **i386** or **x86_64**)
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2. The Python binary used to run :file:`example\\run_test.py` matches the
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Python version specified in the CMake GUI. This is controlled via
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the ``PYTHON_EXECUTABLE`` ``PYTHON_INCLUDE_DIR``, and
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``PYTHON_LIBRARY`` variables.
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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:`example` directory,
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which exercise all features of pybind11.
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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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namespace py = pybind11;
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PYBIND11_PLUGIN(example) {
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py::module m("example", "pybind11 example plugin");
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m.def("add", &add, "A function which adds two numbers");
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return m.ptr();
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}
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The :func:`PYBIND11_PLUGIN` macro creates a function that will be called when an
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``import`` statement is issued from within Python. The next line creates a
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module named ``example`` (with the supplied docstring). The method
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:func:`module::def` generates binding code that exposes the
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``add()`` function to Python. The last line returns the internal Python object
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associated with ``m`` to the Python interpreter.
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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 --libs` 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:: python
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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:: python
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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:: python
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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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.. _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:: python
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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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.. _supported_types:
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Supported data types
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====================
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The following basic data types are supported out of the box (some may require
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an additional extension header to be included). To pass other data structures
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as arguments and return values, refer to the section on binding :ref:`classes`.
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+----------------------------+--------------------------+-----------------------+
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| Data type | Description | Header file |
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+============================+==========================+=======================+
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| int8_t, uint8_t | 8-bit integers | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| int16_t, uint16_t | 16-bit integers | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| int32_t, uint32_t | 32-bit integers | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| int64_t, uint64_t | 64-bit integers | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| ssize_t, size_t | Platform-dependent size | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| float, double | Floating point types | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| bool | Two-state Boolean type | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| char | Character literal | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| wchar_t | Wide character literal | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| const char * | UTF-8 string literal | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| std::string | STL dynamic UTF-8 string | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| std::wstring | STL dynamic wide string | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| std::pair<T1, T2> | Pair of two custom types | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| std::tuple<....> | Arbitrary tuple of types | pybind11/pybind11.h |
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+----------------------------+--------------------------+-----------------------+
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| std::complex<T> | Complex numbers | pybind11/complex.h |
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+----------------------------+--------------------------+-----------------------+
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| std::array<T, Size> | STL static array | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::vector<T> | STL dynamic array | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::map<T1, T2> | STL ordered map | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::unordered_map<T1, T2> | STL unordered map | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::set<T> | STL ordered set | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::unordered_set<T> | STL unordered set | pybind11/stl.h |
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+----------------------------+--------------------------+-----------------------+
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| std::function<...> | STL polymorphic function | pybind11/functional.h |
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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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