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documentation on using multiple extension modules
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@ -865,3 +865,36 @@ default argument manually using the ``arg_t`` notation:
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py::class_<MyClass>("MyClass")
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.def("myFunction", py::arg_t<SomeType>("arg", SomeType(123), "SomeType(123)"));
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Partitioning code over multiple extension modules
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=================================================
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It's straightforward to split binding code over multiple extension modules and
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reference types declared elsewhere. Everything "just" works without any special
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precautions. One exception to this rule occurs when wanting to extend a type declared
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in another extension module. Recall the basic example from Section
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:ref:`inheritance`.
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.. code-block:: cpp
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py::class_<Pet> pet(m, "Pet");
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pet.def(py::init<const std::string &>())
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.def_readwrite("name", &Pet::name);
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py::class_<Dog>(m, "Dog", pet /* <- specify parent */)
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.def(py::init<const std::string &>())
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.def("bark", &Dog::bark);
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Suppose now that ``Pet`` bindings are defined in a module named ``basic``,
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whereas the ``Dog`` bindings are defined somewhere else. The challenge is of
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course that the variable ``pet`` is not available anymore though it is needed
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to indicate the inheritance relationship to the constructor of ``class_<Dog>``.
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However, it can be acquired as follows:
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.. code-block:: cpp
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py::object pet = (py::object) py::module::import("basic").attr("Pet");
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py::class_<Dog>(m, "Dog", pet)
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.def(py::init<const std::string &>())
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.def("bark", &Dog::bark);
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@ -157,6 +157,8 @@ the setter and getter functions:
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and :func:`class_::def_property_readonly_static` are provided for binding
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static variables and properties.
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.. _inheritance:
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Inheritance
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===========
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