171 lines
4.7 KiB
ReStructuredText
171 lines
4.7 KiB
ReStructuredText
Python types
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############
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Available wrappers
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==================
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All major Python types are available as thin C++ wrapper classes. These
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can also be used as function parameters -- see :ref:`python_objects_as_args`.
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Available types include :class:`handle`, :class:`object`, :class:`bool_`,
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:class:`int_`, :class:`float_`, :class:`str`, :class:`bytes`, :class:`tuple`,
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:class:`list`, :class:`dict`, :class:`slice`, :class:`none`, :class:`capsule`,
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:class:`iterable`, :class:`iterator`, :class:`function`, :class:`buffer`,
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:class:`array`, and :class:`array_t`.
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Casting back and forth
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======================
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In this kind of mixed code, it is often necessary to convert arbitrary C++
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types to Python, which can be done using :func:`py::cast`:
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.. code-block:: cpp
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MyClass *cls = ..;
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py::object obj = py::cast(cls);
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The reverse direction uses the following syntax:
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.. code-block:: cpp
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py::object obj = ...;
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MyClass *cls = obj.cast<MyClass *>();
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When conversion fails, both directions throw the exception :class:`cast_error`.
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.. _python_libs:
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Accessing Python libraries from C++
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===================================
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It is also possible to import objects defined in the Python standard
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library or available in the current Python environment (``sys.path``) and work
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with these in C++.
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This example obtains a reference to the Python ``Decimal`` class.
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.. code-block:: cpp
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// Equivalent to "from decimal import Decimal"
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py::object Decimal = py::module::import("decimal").attr("Decimal");
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.. code-block:: cpp
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// Try to import scipy
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py::object scipy = py::module::import("scipy");
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return scipy.attr("__version__");
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.. _calling_python_functions:
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Calling Python functions
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========================
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It is also possible to call Python classes, functions and methods
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via ``operator()``.
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.. code-block:: cpp
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// Construct a Python object of class Decimal
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py::object pi = Decimal("3.14159");
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.. code-block:: cpp
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// Use Python to make our directories
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py::object os = py::module::import("os");
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py::object makedirs = os.attr("makedirs");
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makedirs("/tmp/path/to/somewhere");
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One can convert the result obtained from Python to a pure C++ version
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if a ``py::class_`` or type conversion is defined.
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.. code-block:: cpp
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py::function f = <...>;
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py::object result_py = f(1234, "hello", some_instance);
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MyClass &result = result_py.cast<MyClass>();
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.. _calling_python_methods:
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Calling Python methods
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========================
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To call an object's method, one can again use ``.attr`` to obtain access to the
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Python method.
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.. code-block:: cpp
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// Calculate e^π in decimal
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py::object exp_pi = pi.attr("exp")();
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py::print(py::str(exp_pi));
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In the example above ``pi.attr("exp")`` is a *bound method*: it will always call
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the method for that same instance of the class. Alternately one can create an
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*unbound method* via the Python class (instead of instance) and pass the ``self``
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object explicitly, followed by other arguments.
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.. code-block:: cpp
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py::object decimal_exp = Decimal.attr("exp");
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// Compute the e^n for n=0..4
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for (int n = 0; n < 5; n++) {
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py::print(decimal_exp(Decimal(n));
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}
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Keyword arguments
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=================
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Keyword arguments are also supported. In Python, there is the usual call syntax:
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.. code-block:: python
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def f(number, say, to):
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... # function code
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f(1234, say="hello", to=some_instance) # keyword call in Python
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In C++, the same call can be made using:
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.. code-block:: cpp
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using namespace pybind11::literals; // to bring in the `_a` literal
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f(1234, "say"_a="hello", "to"_a=some_instance); // keyword call in C++
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Unpacking arguments
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===================
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Unpacking of ``*args`` and ``**kwargs`` is also possible and can be mixed with
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other arguments:
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.. code-block:: cpp
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// * unpacking
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py::tuple args = py::make_tuple(1234, "hello", some_instance);
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f(*args);
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// ** unpacking
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py::dict kwargs = py::dict("number"_a=1234, "say"_a="hello", "to"_a=some_instance);
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f(**kwargs);
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// mixed keywords, * and ** unpacking
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py::tuple args = py::make_tuple(1234);
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py::dict kwargs = py::dict("to"_a=some_instance);
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f(*args, "say"_a="hello", **kwargs);
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Generalized unpacking according to PEP448_ is also supported:
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.. code-block:: cpp
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py::dict kwargs1 = py::dict("number"_a=1234);
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py::dict kwargs2 = py::dict("to"_a=some_instance);
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f(**kwargs1, "say"_a="hello", **kwargs2);
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.. seealso::
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The file :file:`tests/test_pytypes.cpp` contains a complete
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example that demonstrates passing native Python types in more detail. The
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file :file:`tests/test_callbacks.cpp` presents a few examples of calling
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Python functions from C++, including keywords arguments and unpacking.
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.. _PEP448: https://www.python.org/dev/peps/pep-0448/
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