From 9273af4f92580a4d25d7489a7a77c24daae4dbb0 Mon Sep 17 00:00:00 2001 From: Dean Moldovan Date: Thu, 13 Oct 2016 23:53:16 +0200 Subject: [PATCH] Document dynamic attributes --- docs/classes.rst | 60 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) diff --git a/docs/classes.rst b/docs/classes.rst index 4270b8d6d..300816d41 100644 --- a/docs/classes.rst +++ b/docs/classes.rst @@ -165,6 +165,66 @@ the setter and getter functions: static variables and properties. Please also see the section on :ref:`static_properties` in the advanced part of the documentation. +Dynamic attributes +================== + +Native Python classes can pick up new attributes dynamically: + +.. code-block:: pycon + + >>> class Pet: + ... name = 'Molly' + ... + >>> p = Pet() + >>> p.name = 'Charly' # overwrite existing + >>> p.age = 2 # dynamically add a new attribute + +By default, classes exported from C++ do not support this and the only writable +attributes are the ones explicitly defined using :func:`class_::def_readwrite` +or :func:`class_::def_property`. + +.. code-block:: cpp + + py::class_(m, "Pet") + .def(py::init<>()) + .def_readwrite("name", &Pet::name); + +Trying to set any other attribute results in an error: + +.. code-block:: pycon + + >>> p = example.Pet() + >>> p.name = 'Charly' # OK, attribute defined in C++ + >>> p.age = 2 # fail + AttributeError: 'Pet' object has no attribute 'age' + +To enable dynamic attributes for C++ classes, the :class:`py::dynamic_attr` tag +must be added to the :class:`py::class_` constructor: + +.. code-block:: cpp + + py::class_(m, "Pet", py::dynamic_attr()) + .def(py::init<>()) + .def_readwrite("name", &Pet::name); + +Now everything works as expected: + +.. code-block:: pycon + + >>> p = example.Pet() + >>> p.name = 'Charly' # OK, overwrite value in C++ + >>> p.age = 2 # OK, dynamically add a new attribute + >>> p.__dict__ # just like a native Python class + {'age': 2} + +Note that there is a small runtime cost for a class with dynamic attributes. +Not only because of the addition of a ``__dict__``, but also because of more +expensive garbage collection tracking which must be activated to resolve +possible circular references. Native Python classes incur this same cost by +default, so this is not anything to worry about. By default, pybind11 classes +are more efficient than native Python classes. Enabling dynamic attributes +just brings them on par. + .. _inheritance: Inheritance