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update pybind11
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@@ -16,7 +16,7 @@ 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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C++ side. For this reason, pybind11 provides 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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@@ -50,7 +50,7 @@ implied transfer of ownership, i.e.:
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.. code-block:: cpp
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m.def("get_data", &get_data, return_value_policy::reference);
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m.def("get_data", &get_data, py::return_value_policy::reference);
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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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@@ -90,17 +90,18 @@ The following table provides an overview of available policies:
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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` | **Default policy.** This policy falls back to the policy |
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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. |
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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()). You probably won't need to use this. |
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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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Return value policies can also be applied to properties:
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@@ -119,7 +120,7 @@ targeted arguments can be passed through the :class:`cpp_function` constructor:
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.. code-block:: cpp
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class_<MyClass>(m, "MyClass")
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.def_property("data"
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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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@@ -182,6 +183,9 @@ 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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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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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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@@ -228,7 +232,7 @@ is equivalent to the following pseudocode:
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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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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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Multiple guards can also be specified as ``py::call_guard<T1, T2, T3...>``. The
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@@ -251,7 +255,7 @@ For instance, the following statement iterates over a Python ``dict``:
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.. code-block:: cpp
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void print_dict(py::dict dict) {
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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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@@ -268,7 +272,7 @@ And used in Python as usual:
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.. code-block:: pycon
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>>> print_dict({'foo': 123, 'bar': 'hello'})
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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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@@ -289,7 +293,7 @@ Such functions can also be created using pybind11:
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.. code-block:: cpp
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void generic(py::args args, py::kwargs kwargs) {
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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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@@ -302,8 +306,9 @@ The class ``py::args`` derives from ``py::tuple`` and ``py::kwargs`` derives
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from ``py::dict``.
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You may also use just one or the other, and may combine these with other
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arguments as long as the ``py::args`` and ``py::kwargs`` arguments are the last
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arguments accepted by the function.
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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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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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@@ -362,10 +367,12 @@ like so:
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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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.. _keyword_only_arguments:
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Keyword-only arguments
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======================
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Python 3 introduced keyword-only arguments by specifying an unnamed ``*``
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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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.. code-block:: python
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@@ -373,10 +380,11 @@ argument in a function definition:
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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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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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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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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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@@ -387,11 +395,19 @@ argument annotations when registering the function:
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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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Note that you currently cannot combine this with a ``py::args`` argument. This
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feature does *not* require Python 3 to work.
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.. versionadded:: 2.6
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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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Positional-only arguments
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=========================
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@@ -524,6 +540,8 @@ The default behaviour when the tag is unspecified is to allow ``None``.
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not allow ``None`` as argument. To pass optional argument of these copied types consider
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using ``std::optional<T>``
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.. _overload_resolution:
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Overload resolution order
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=========================
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@@ -559,3 +577,38 @@ prefers earlier-defined overloads to later-defined ones.
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.. versionadded:: 2.6
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The ``py::prepend()`` tag.
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Binding functions with template parameters
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==========================================
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You can bind functions that have template parameters. Here's a function:
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.. code-block:: cpp
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template <typename T>
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void set(T t);
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C++ templates cannot be instantiated at runtime, so you cannot bind the
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non-instantiated function:
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.. code-block:: cpp
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// BROKEN (this will not compile)
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m.def("set", &set);
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You must bind each instantiated function template separately. You may bind
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each instantiation with the same name, which will be treated the same as
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an overloaded function:
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.. code-block:: cpp
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m.def("set", &set<int>);
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m.def("set", &set<std::string>);
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Sometimes it's more clear to bind them with separate names, which is also
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an option:
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.. code-block:: cpp
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m.def("setInt", &set<int>);
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m.def("setString", &set<std::string>);
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