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			615 lines
		
	
	
		
			26 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
| Functions
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| #########
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| 
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| Before proceeding with this section, make sure that you are already familiar
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| with the basics of binding functions and classes, as explained in :doc:`/basics`
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| and :doc:`/classes`. The following guide is applicable to both free and member
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| functions, i.e. *methods* in Python.
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| 
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| .. _return_value_policies:
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| 
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| Return value policies
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| =====================
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| 
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| Python and C++ use fundamentally different ways of managing the memory and
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| lifetime of objects managed by them. This can lead to issues when creating
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| bindings for functions that return a non-trivial type. Just by looking at the
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| type information, it is not clear whether Python should take charge of the
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| returned value and eventually free its resources, or if this is handled on the
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| C++ side. For this reason, pybind11 provides a several *return value policy*
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| annotations that can be passed to the :func:`module_::def` and
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| :func:`class_::def` functions. The default policy is
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| :enum:`return_value_policy::automatic`.
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| 
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| Return value policies are tricky, and it's very important to get them right.
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| Just to illustrate what can go wrong, consider the following simple example:
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| 
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| .. code-block:: cpp
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| 
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|     /* Function declaration */
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|     Data *get_data() { return _data; /* (pointer to a static data structure) */ }
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|     ...
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| 
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|     /* Binding code */
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|     m.def("get_data", &get_data); // <-- KABOOM, will cause crash when called from Python
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| 
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| What's going on here? When ``get_data()`` is called from Python, the return
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| value (a native C++ type) must be wrapped to turn it into a usable Python type.
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| In this case, the default return value policy (:enum:`return_value_policy::automatic`)
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| causes pybind11 to assume ownership of the static ``_data`` instance.
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| 
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| When Python's garbage collector eventually deletes the Python
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| wrapper, pybind11 will also attempt to delete the C++ instance (via ``operator
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| delete()``) due to the implied ownership. At this point, the entire application
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| will come crashing down, though errors could also be more subtle and involve
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| silent data corruption.
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| 
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| In the above example, the policy :enum:`return_value_policy::reference` should have
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| been specified so that the global data instance is only *referenced* without any
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| implied transfer of ownership, i.e.:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("get_data", &get_data, py::return_value_policy::reference);
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| 
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| On the other hand, this is not the right policy for many other situations,
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| where ignoring ownership could lead to resource leaks.
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| As a developer using pybind11, it's important to be familiar with the different
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| return value policies, including which situation calls for which one of them.
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| The following table provides an overview of available policies:
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| 
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| .. tabularcolumns:: |p{0.5\textwidth}|p{0.45\textwidth}|
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| 
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | Return value policy                              | Description                                                                |
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| +==================================================+============================================================================+
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| | :enum:`return_value_policy::take_ownership`      | Reference an existing object (i.e. do not create a new copy) and take      |
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| |                                                  | ownership. Python will call the destructor and delete operator when the    |
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| |                                                  | object's reference count reaches zero. Undefined behavior ensues when the  |
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| |                                                  | C++ side does the same, or when the data was not dynamically allocated.    |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::copy`                | Create a new copy of the returned object, which will be owned by Python.   |
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| |                                                  | This policy is comparably safe because the lifetimes of the two instances  |
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| |                                                  | are decoupled.                                                             |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::move`                | Use ``std::move`` to move the return value contents into a new instance    |
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| |                                                  | that will be owned by Python. This policy is comparably safe because the   |
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| |                                                  | lifetimes of the two instances (move source and destination) are decoupled.|
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::reference`           | Reference an existing object, but do not take ownership. The C++ side is   |
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| |                                                  | responsible for managing the object's lifetime and deallocating it when    |
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| |                                                  | it is no longer used. Warning: undefined behavior will ensue when the C++  |
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| |                                                  | side deletes an object that is still referenced and used by Python.        |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::reference_internal`  | Indicates that the lifetime of the return value is tied to the lifetime    |
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| |                                                  | of a parent object, namely the implicit ``this``, or ``self`` argument of  |
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| |                                                  | the called method or property. Internally, this policy works just like     |
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| |                                                  | :enum:`return_value_policy::reference` but additionally applies a          |
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| |                                                  | ``keep_alive<0, 1>`` *call policy* (described in the next section) that    |
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| |                                                  | prevents the parent object from being garbage collected as long as the     |
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| |                                                  | return value is referenced by Python. This is the default policy for       |
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| |                                                  | property getters created via ``def_property``, ``def_readwrite``, etc.     |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::automatic`           | This policy falls back to the policy                                       |
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| |                                                  | :enum:`return_value_policy::take_ownership` when the return value is a     |
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| |                                                  | pointer. Otherwise, it uses :enum:`return_value_policy::move` or           |
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| |                                                  | :enum:`return_value_policy::copy` for rvalue and lvalue references,        |
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| |                                                  | respectively. See above for a description of what all of these different   |
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| |                                                  | policies do. This is the default policy for ``py::class_``-wrapped types.  |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| | :enum:`return_value_policy::automatic_reference` | As above, but use policy :enum:`return_value_policy::reference` when the   |
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| |                                                  | return value is a pointer. This is the default conversion policy for       |
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| |                                                  | function arguments when calling Python functions manually from C++ code    |
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| |                                                  | (i.e. via ``handle::operator()``) and the casters in ``pybind11/stl.h``.   |
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| |                                                  | You probably won't need to use this explicitly.                            |
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| +--------------------------------------------------+----------------------------------------------------------------------------+
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| 
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| Return value policies can also be applied to properties:
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| 
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| .. code-block:: cpp
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| 
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|     class_<MyClass>(m, "MyClass")
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|         .def_property("data", &MyClass::getData, &MyClass::setData,
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|                       py::return_value_policy::copy);
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| 
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| Technically, the code above applies the policy to both the getter and the
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| setter function, however, the setter doesn't really care about *return*
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| value policies which makes this a convenient terse syntax. Alternatively,
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| targeted arguments can be passed through the :class:`cpp_function` constructor:
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| 
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| .. code-block:: cpp
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| 
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|     class_<MyClass>(m, "MyClass")
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|         .def_property("data",
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|             py::cpp_function(&MyClass::getData, py::return_value_policy::copy),
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|             py::cpp_function(&MyClass::setData)
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|         );
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| 
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| .. warning::
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| 
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|     Code with invalid return value policies might access uninitialized memory or
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|     free data structures multiple times, which can lead to hard-to-debug
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|     non-determinism and segmentation faults, hence it is worth spending the
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|     time to understand all the different options in the table above.
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| 
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| .. note::
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| 
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|     One important aspect of the above policies is that they only apply to
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|     instances which pybind11 has *not* seen before, in which case the policy
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|     clarifies essential questions about the return value's lifetime and
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|     ownership.  When pybind11 knows the instance already (as identified by its
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|     type and address in memory), it will return the existing Python object
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|     wrapper rather than creating a new copy.
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| 
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| .. note::
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| 
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|     The next section on :ref:`call_policies` discusses *call policies* that can be
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|     specified *in addition* to a return value policy from the list above. Call
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|     policies indicate reference relationships that can involve both return values
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|     and parameters of functions.
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| 
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| .. note::
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| 
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|    As an alternative to elaborate call policies and lifetime management logic,
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|    consider using smart pointers (see the section on :ref:`smart_pointers` for
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|    details). Smart pointers can tell whether an object is still referenced from
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|    C++ or Python, which generally eliminates the kinds of inconsistencies that
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|    can lead to crashes or undefined behavior. For functions returning smart
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|    pointers, it is not necessary to specify a return value policy.
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| 
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| .. _call_policies:
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| 
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| Additional call policies
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| ========================
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| 
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| In addition to the above return value policies, further *call policies* can be
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| specified to indicate dependencies between parameters or ensure a certain state
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| for the function call.
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| 
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| Keep alive
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| ----------
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| 
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| In general, this policy is required when the C++ object is any kind of container
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| and another object is being added to the container. ``keep_alive<Nurse, Patient>``
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| indicates that the argument with index ``Patient`` should be kept alive at least
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| until the argument with index ``Nurse`` is freed by the garbage collector. Argument
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| indices start at one, while zero refers to the return value. For methods, index
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| ``1`` refers to the implicit ``this`` pointer, while regular arguments begin at
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| index ``2``. Arbitrarily many call policies can be specified. When a ``Nurse``
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| with value ``None`` is detected at runtime, the call policy does nothing.
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| 
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| When the nurse is not a pybind11-registered type, the implementation internally
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| relies on the ability to create a *weak reference* to the nurse object. When
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| the nurse object is not a pybind11-registered type and does not support weak
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| references, an exception will be thrown.
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| 
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| If you use an incorrect argument index, you will get a ``RuntimeError`` saying
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| ``Could not activate keep_alive!``. You should review the indices you're using.
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| 
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| Consider the following example: here, the binding code for a list append
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| operation ties the lifetime of the newly added element to the underlying
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| container:
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| 
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| .. code-block:: cpp
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| 
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|     py::class_<List>(m, "List")
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|         .def("append", &List::append, py::keep_alive<1, 2>());
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| 
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| For consistency, the argument indexing is identical for constructors. Index
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| ``1`` still refers to the implicit ``this`` pointer, i.e. the object which is
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| being constructed. Index ``0`` refers to the return type which is presumed to
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| be ``void`` when a constructor is viewed like a function. The following example
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| ties the lifetime of the constructor element to the constructed object:
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| 
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| .. code-block:: cpp
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| 
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|     py::class_<Nurse>(m, "Nurse")
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|         .def(py::init<Patient &>(), py::keep_alive<1, 2>());
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| 
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| .. note::
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| 
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|     ``keep_alive`` is analogous to the ``with_custodian_and_ward`` (if Nurse,
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|     Patient != 0) and ``with_custodian_and_ward_postcall`` (if Nurse/Patient ==
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|     0) policies from Boost.Python.
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| 
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| Call guard
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| ----------
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| 
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| The ``call_guard<T>`` policy allows any scope guard type ``T`` to be placed
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| around the function call. For example, this definition:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("foo", foo, py::call_guard<T>());
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| 
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| is equivalent to the following pseudocode:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("foo", [](args...) {
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|         T scope_guard;
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|         return foo(args...); // forwarded arguments
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|     });
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| 
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| The only requirement is that ``T`` is default-constructible, but otherwise any
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| scope guard will work. This is very useful in combination with ``gil_scoped_release``.
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| See :ref:`gil`.
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| 
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| Multiple guards can also be specified as ``py::call_guard<T1, T2, T3...>``. The
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| constructor order is left to right and destruction happens in reverse.
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| 
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| .. seealso::
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| 
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|     The file :file:`tests/test_call_policies.cpp` contains a complete example
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|     that demonstrates using `keep_alive` and `call_guard` in more detail.
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| 
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| .. _python_objects_as_args:
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| 
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| Python objects as arguments
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| ===========================
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| 
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| pybind11 exposes all major Python types using thin C++ wrapper classes. These
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| wrapper classes can also be used as parameters of functions in bindings, which
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| makes it possible to directly work with native Python types on the C++ side.
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| For instance, the following statement iterates over a Python ``dict``:
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| 
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| .. code-block:: cpp
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| 
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|     void print_dict(const py::dict& dict) {
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|         /* Easily interact with Python types */
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|         for (auto item : dict)
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|             std::cout << "key=" << std::string(py::str(item.first)) << ", "
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|                       << "value=" << std::string(py::str(item.second)) << std::endl;
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|     }
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| 
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| It can be exported:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("print_dict", &print_dict);
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| 
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| And used in Python as usual:
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| 
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| .. code-block:: pycon
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| 
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|     >>> print_dict({"foo": 123, "bar": "hello"})
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|     key=foo, value=123
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|     key=bar, value=hello
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| 
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| For more information on using Python objects in C++, see :doc:`/advanced/pycpp/index`.
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| 
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| Accepting \*args and \*\*kwargs
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| ===============================
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| 
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| Python provides a useful mechanism to define functions that accept arbitrary
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| numbers of arguments and keyword arguments:
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| 
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| .. code-block:: python
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| 
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|    def generic(*args, **kwargs):
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|        ...  # do something with args and kwargs
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| 
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| Such functions can also be created using pybind11:
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| 
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| .. code-block:: cpp
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| 
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|    void generic(py::args args, const py::kwargs& kwargs) {
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|        /// .. do something with args
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|        if (kwargs)
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|            /// .. do something with kwargs
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|    }
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| 
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|    /// Binding code
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|    m.def("generic", &generic);
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| 
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| The class ``py::args`` derives from ``py::tuple`` and ``py::kwargs`` derives
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| from ``py::dict``.
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| 
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| You may also use just one or the other, and may combine these with other
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| arguments.  Note, however, that ``py::kwargs`` must always be the last argument
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| of the function, and ``py::args`` implies that any further arguments are
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| keyword-only (see :ref:`keyword_only_arguments`).
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| 
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| Please refer to the other examples for details on how to iterate over these,
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| and on how to cast their entries into C++ objects. A demonstration is also
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| available in ``tests/test_kwargs_and_defaults.cpp``.
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| 
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| .. note::
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| 
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|     When combining \*args or \*\*kwargs with :ref:`keyword_args` you should
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|     *not* include ``py::arg`` tags for the ``py::args`` and ``py::kwargs``
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|     arguments.
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| 
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| Default arguments revisited
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| ===========================
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| 
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| The section on :ref:`default_args` previously discussed basic usage of default
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| arguments using pybind11. One noteworthy aspect of their implementation is that
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| default arguments are converted to Python objects right at declaration time.
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| Consider the following example:
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| 
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| .. code-block:: cpp
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| 
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|     py::class_<MyClass>("MyClass")
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|         .def("myFunction", py::arg("arg") = SomeType(123));
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| 
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| In this case, pybind11 must already be set up to deal with values of the type
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| ``SomeType`` (via a prior instantiation of ``py::class_<SomeType>``), or an
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| exception will be thrown.
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| 
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| Another aspect worth highlighting is that the "preview" of the default argument
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| in the function signature is generated using the object's ``__repr__`` method.
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| If not available, the signature may not be very helpful, e.g.:
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| 
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| .. code-block:: pycon
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| 
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|     FUNCTIONS
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|     ...
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|     |  myFunction(...)
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|     |      Signature : (MyClass, arg : SomeType = <SomeType object at 0x101b7b080>) -> NoneType
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|     ...
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| 
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| The first way of addressing this is by defining ``SomeType.__repr__``.
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| Alternatively, it is possible to specify the human-readable preview of the
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| default argument manually using the ``arg_v`` notation:
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| 
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| .. code-block:: cpp
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| 
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|     py::class_<MyClass>("MyClass")
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|         .def("myFunction", py::arg_v("arg", SomeType(123), "SomeType(123)"));
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| 
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| Sometimes it may be necessary to pass a null pointer value as a default
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| argument. In this case, remember to cast it to the underlying type in question,
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| like so:
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| 
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| .. code-block:: cpp
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| 
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|     py::class_<MyClass>("MyClass")
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|         .def("myFunction", py::arg("arg") = static_cast<SomeType *>(nullptr));
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| 
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| .. _keyword_only_arguments:
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| 
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| Keyword-only arguments
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| ======================
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| 
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| Python implements keyword-only arguments by specifying an unnamed ``*``
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| argument in a function definition:
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| 
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| .. code-block:: python
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| 
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|     def f(a, *, b):  # a can be positional or via keyword; b must be via keyword
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|         pass
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| 
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| 
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|     f(a=1, b=2)  # good
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|     f(b=2, a=1)  # good
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|     f(1, b=2)  # good
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|     f(1, 2)  # TypeError: f() takes 1 positional argument but 2 were given
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| 
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| Pybind11 provides a ``py::kw_only`` object that allows you to implement
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| the same behaviour by specifying the object between positional and keyword-only
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| argument annotations when registering the function:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("f", [](int a, int b) { /* ... */ },
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|           py::arg("a"), py::kw_only(), py::arg("b"));
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| 
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| .. versionadded:: 2.6
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| 
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| A ``py::args`` argument implies that any following arguments are keyword-only,
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| as if ``py::kw_only()`` had been specified in the same relative location of the
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| argument list as the ``py::args`` argument.  The ``py::kw_only()`` may be
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| included to be explicit about this, but is not required.
 | |
| 
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| .. versionchanged:: 2.9
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|    This can now be combined with ``py::args``. Before, ``py::args`` could only
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|    occur at the end of the argument list, or immediately before a ``py::kwargs``
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|    argument at the end.
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| 
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| 
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| Positional-only arguments
 | |
| =========================
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| 
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| Python 3.8 introduced a new positional-only argument syntax, using ``/`` in the
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| function definition (note that this has been a convention for CPython
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| positional arguments, such as in ``pow()``, since Python 2). You can
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| do the same thing in any version of Python using ``py::pos_only()``:
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| 
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| .. code-block:: cpp
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| 
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|    m.def("f", [](int a, int b) { /* ... */ },
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|           py::arg("a"), py::pos_only(), py::arg("b"));
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| 
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| You now cannot give argument ``a`` by keyword. This can be combined with
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| keyword-only arguments, as well.
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| 
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| .. versionadded:: 2.6
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| 
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| .. _nonconverting_arguments:
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| 
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| Non-converting arguments
 | |
| ========================
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| 
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| Certain argument types may support conversion from one type to another.  Some
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| examples of conversions are:
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| 
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| * :ref:`implicit_conversions` declared using ``py::implicitly_convertible<A,B>()``
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| * Calling a method accepting a double with an integer argument
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| * Calling a ``std::complex<float>`` argument with a non-complex python type
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|   (for example, with a float).  (Requires the optional ``pybind11/complex.h``
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|   header).
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| * Calling a function taking an Eigen matrix reference with a numpy array of the
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|   wrong type or of an incompatible data layout.  (Requires the optional
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|   ``pybind11/eigen.h`` header).
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| 
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| This behaviour is sometimes undesirable: the binding code may prefer to raise
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| an error rather than convert the argument.  This behaviour can be obtained
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| through ``py::arg`` by calling the ``.noconvert()`` method of the ``py::arg``
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| object, such as:
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| 
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| .. code-block:: cpp
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| 
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|     m.def("floats_only", [](double f) { return 0.5 * f; }, py::arg("f").noconvert());
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|     m.def("floats_preferred", [](double f) { return 0.5 * f; }, py::arg("f"));
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| 
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| Attempting the call the second function (the one without ``.noconvert()``) with
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| an integer will succeed, but attempting to call the ``.noconvert()`` version
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| will fail with a ``TypeError``:
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| 
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| .. code-block:: pycon
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| 
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|     >>> floats_preferred(4)
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|     2.0
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|     >>> floats_only(4)
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|     Traceback (most recent call last):
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|       File "<stdin>", line 1, in <module>
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|     TypeError: floats_only(): incompatible function arguments. The following argument types are supported:
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|         1. (f: float) -> float
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| 
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|     Invoked with: 4
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| 
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| You may, of course, combine this with the :var:`_a` shorthand notation (see
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| :ref:`keyword_args`) and/or :ref:`default_args`.  It is also permitted to omit
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| the argument name by using the ``py::arg()`` constructor without an argument
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| name, i.e. by specifying ``py::arg().noconvert()``.
 | |
| 
 | |
| .. note::
 | |
| 
 | |
|     When specifying ``py::arg`` options it is necessary to provide the same
 | |
|     number of options as the bound function has arguments.  Thus if you want to
 | |
|     enable no-convert behaviour for just one of several arguments, you will
 | |
|     need to specify a ``py::arg()`` annotation for each argument with the
 | |
|     no-convert argument modified to ``py::arg().noconvert()``.
 | |
| 
 | |
| .. _none_arguments:
 | |
| 
 | |
| Allow/Prohibiting None arguments
 | |
| ================================
 | |
| 
 | |
| When a C++ type registered with :class:`py::class_` is passed as an argument to
 | |
| a function taking the instance as pointer or shared holder (e.g. ``shared_ptr``
 | |
| or a custom, copyable holder as described in :ref:`smart_pointers`), pybind
 | |
| allows ``None`` to be passed from Python which results in calling the C++
 | |
| function with ``nullptr`` (or an empty holder) for the argument.
 | |
| 
 | |
| To explicitly enable or disable this behaviour, using the
 | |
| ``.none`` method of the :class:`py::arg` object:
 | |
| 
 | |
| .. code-block:: cpp
 | |
| 
 | |
|     py::class_<Dog>(m, "Dog").def(py::init<>());
 | |
|     py::class_<Cat>(m, "Cat").def(py::init<>());
 | |
|     m.def("bark", [](Dog *dog) -> std::string {
 | |
|         if (dog) return "woof!"; /* Called with a Dog instance */
 | |
|         else return "(no dog)"; /* Called with None, dog == nullptr */
 | |
|     }, py::arg("dog").none(true));
 | |
|     m.def("meow", [](Cat *cat) -> std::string {
 | |
|         // Can't be called with None argument
 | |
|         return "meow";
 | |
|     }, py::arg("cat").none(false));
 | |
| 
 | |
| With the above, the Python call ``bark(None)`` will return the string ``"(no
 | |
| dog)"``, while attempting to call ``meow(None)`` will raise a ``TypeError``:
 | |
| 
 | |
| .. code-block:: pycon
 | |
| 
 | |
|     >>> from animals import Dog, Cat, bark, meow
 | |
|     >>> bark(Dog())
 | |
|     'woof!'
 | |
|     >>> meow(Cat())
 | |
|     'meow'
 | |
|     >>> bark(None)
 | |
|     '(no dog)'
 | |
|     >>> meow(None)
 | |
|     Traceback (most recent call last):
 | |
|       File "<stdin>", line 1, in <module>
 | |
|     TypeError: meow(): incompatible function arguments. The following argument types are supported:
 | |
|         1. (cat: animals.Cat) -> str
 | |
| 
 | |
|     Invoked with: None
 | |
| 
 | |
| The default behaviour when the tag is unspecified is to allow ``None``.
 | |
| 
 | |
| .. note::
 | |
| 
 | |
|     Even when ``.none(true)`` is specified for an argument, ``None`` will be converted to a
 | |
|     ``nullptr`` *only* for custom and :ref:`opaque <opaque>` types. Pointers to built-in types
 | |
|     (``double *``, ``int *``, ...) and STL types (``std::vector<T> *``, ...; if ``pybind11/stl.h``
 | |
|     is included) are copied when converted to C++ (see :doc:`/advanced/cast/overview`) and will
 | |
|     not allow ``None`` as argument.  To pass optional argument of these copied types consider
 | |
|     using ``std::optional<T>``
 | |
| 
 | |
| .. _overload_resolution:
 | |
| 
 | |
| Overload resolution order
 | |
| =========================
 | |
| 
 | |
| When a function or method with multiple overloads is called from Python,
 | |
| pybind11 determines which overload to call in two passes.  The first pass
 | |
| attempts to call each overload without allowing argument conversion (as if
 | |
| every argument had been specified as ``py::arg().noconvert()`` as described
 | |
| above).
 | |
| 
 | |
| If no overload succeeds in the no-conversion first pass, a second pass is
 | |
| attempted in which argument conversion is allowed (except where prohibited via
 | |
| an explicit ``py::arg().noconvert()`` attribute in the function definition).
 | |
| 
 | |
| If the second pass also fails a ``TypeError`` is raised.
 | |
| 
 | |
| Within each pass, overloads are tried in the order they were registered with
 | |
| pybind11. If the ``py::prepend()`` tag is added to the definition, a function
 | |
| can be placed at the beginning of the overload sequence instead, allowing user
 | |
| overloads to proceed built in functions.
 | |
| 
 | |
| What this means in practice is that pybind11 will prefer any overload that does
 | |
| not require conversion of arguments to an overload that does, but otherwise
 | |
| prefers earlier-defined overloads to later-defined ones.
 | |
| 
 | |
| .. note::
 | |
| 
 | |
|     pybind11 does *not* further prioritize based on the number/pattern of
 | |
|     overloaded arguments.  That is, pybind11 does not prioritize a function
 | |
|     requiring one conversion over one requiring three, but only prioritizes
 | |
|     overloads requiring no conversion at all to overloads that require
 | |
|     conversion of at least one argument.
 | |
| 
 | |
| .. versionadded:: 2.6
 | |
| 
 | |
|     The ``py::prepend()`` tag.
 | |
| 
 | |
| Binding functions with template parameters
 | |
| ==========================================
 | |
| 
 | |
| You can bind functions that have template parameters. Here's a function:
 | |
| 
 | |
| .. code-block:: cpp
 | |
| 
 | |
|     template <typename T>
 | |
|     void set(T t);
 | |
| 
 | |
| C++ templates cannot be instantiated at runtime, so you cannot bind the
 | |
| non-instantiated function:
 | |
| 
 | |
| .. code-block:: cpp
 | |
| 
 | |
|     // BROKEN (this will not compile)
 | |
|     m.def("set", &set);
 | |
| 
 | |
| You must bind each instantiated function template separately. You may bind
 | |
| each instantiation with the same name, which will be treated the same as
 | |
| an overloaded function:
 | |
| 
 | |
| .. code-block:: cpp
 | |
| 
 | |
|     m.def("set", &set<int>);
 | |
|     m.def("set", &set<std::string>);
 | |
| 
 | |
| Sometimes it's more clear to bind them with separate names, which is also
 | |
| an option:
 | |
| 
 | |
| .. code-block:: cpp
 | |
| 
 | |
|     m.def("setInt", &set<int>);
 | |
|     m.def("setString", &set<std::string>);
 |