ext/pybind11/docs/advanced/exceptions.rst - public/gem5 - Git at Google

 Exceptions
 ##########

 Built-in C++ to Python exception translation
 ============================================

 When Python calls C++ code through pybind11, pybind11 provides a C++ exception handler
 that will trap C++ exceptions, translate them to the corresponding Python exception,
 and raise them so that Python code can handle them.

 pybind11 defines translations for ``std::exception`` and its standard
 subclasses, and several special exception classes that translate to specific
 Python exceptions. Note that these are not actually Python exceptions, so they
 cannot be examined using the Python C API. Instead, they are pure C++ objects
 that pybind11 will translate the corresponding Python exception when they arrive
 at its exception handler.

 .. tabularcolumns:: |p{0.5\textwidth}|p{0.45\textwidth}|

 +--------------------------------------+--------------------------------------+
 |  Exception thrown by C++             |  Translated to Python exception type |
 +======================================+======================================+
 | :class:`std::exception`              | ``RuntimeError``                     |
 +--------------------------------------+--------------------------------------+
 | :class:`std::bad_alloc`              | ``MemoryError``                      |
 +--------------------------------------+--------------------------------------+
 | :class:`std::domain_error`           | ``ValueError``                       |
 +--------------------------------------+--------------------------------------+
 | :class:`std::invalid_argument`       | ``ValueError``                       |
 +--------------------------------------+--------------------------------------+
 | :class:`std::length_error`           | ``ValueError``                       |
 +--------------------------------------+--------------------------------------+
 | :class:`std::out_of_range`           | ``IndexError``                       |
 +--------------------------------------+--------------------------------------+
 | :class:`std::range_error`            | ``ValueError``                       |
 +--------------------------------------+--------------------------------------+
 | :class:`std::overflow_error`         | ``OverflowError``                    |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::stop_iteration`    | ``StopIteration`` (used to implement |
 |                                      | custom iterators)                    |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::index_error`       | ``IndexError`` (used to indicate out |
 |                                      | of bounds access in ``__getitem__``, |
 |                                      | ``__setitem__``, etc.)               |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::key_error`         | ``KeyError`` (used to indicate out   |
 |                                      | of bounds access in ``__getitem__``, |
 |                                      | ``__setitem__`` in dict-like         |
 |                                      | objects, etc.)                       |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::value_error`       | ``ValueError`` (used to indicate     |
 |                                      | wrong value passed in                |
 |                                      | ``container.remove(...)``)           |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::type_error`        | ``TypeError``                        |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::buffer_error`      | ``BufferError``                      |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::import_error`      | ``ImportError``                      |
 +--------------------------------------+--------------------------------------+
 | :class:`pybind11::attribute_error`   | ``AttributeError``                   |
 +--------------------------------------+--------------------------------------+
 | Any other exception                  | ``RuntimeError``                     |
 +--------------------------------------+--------------------------------------+

 Exception translation is not bidirectional. That is, *catching* the C++
 exceptions defined above will not trap exceptions that originate from
 Python. For that, catch :class:`pybind11::error_already_set`. See :ref:`below
 <handling_python_exceptions_cpp>` for further details.

 There is also a special exception :class:`cast_error` that is thrown by
 :func:`handle::call` when the input arguments cannot be converted to Python
 objects.

 Registering custom translators
 ==============================

 If the default exception conversion policy described above is insufficient,
 pybind11 also provides support for registering custom exception translators.
 Similar to pybind11 classes, exception translators can be local to the module
 they are defined in or global to the entire python session.  To register a simple
 exception conversion that translates a C++ exception into a new Python exception
 using the C++ exception's ``what()`` method, a helper function is available:

 .. code-block:: cpp

     py::register_exception<CppExp>(module, "PyExp");

 This call creates a Python exception class with the name ``PyExp`` in the given
 module and automatically converts any encountered exceptions of type ``CppExp``
 into Python exceptions of type ``PyExp``.

 A matching function is available for registering a local exception translator:

 .. code-block:: cpp

     py::register_local_exception<CppExp>(module, "PyExp");


 It is possible to specify base class for the exception using the third
 parameter, a ``handle``:

 .. code-block:: cpp

     py::register_exception<CppExp>(module, "PyExp", PyExc_RuntimeError);
     py::register_local_exception<CppExp>(module, "PyExp", PyExc_RuntimeError);

 Then ``PyExp`` can be caught both as ``PyExp`` and ``RuntimeError``.

 The class objects of the built-in Python exceptions are listed in the Python
 documentation on `Standard Exceptions <https://docs.python.org/3/c-api/exceptions.html#standard-exceptions>`_.
 The default base class is ``PyExc_Exception``.

 When more advanced exception translation is needed, the functions
 ``py::register_exception_translator(translator)`` and
 ``py::register_local_exception_translator(translator)`` can be used to register
 functions that can translate arbitrary exception types (and which may include
 additional logic to do so).  The functions takes a stateless callable (e.g. a
 function pointer or a lambda function without captured variables) with the call
 signature ``void(std::exception_ptr)``.

 When a C++ exception is thrown, the registered exception translators are tried
 in reverse order of registration (i.e. the last registered translator gets the
 first shot at handling the exception). All local translators will be tried
 before a global translator is tried.

 Inside the translator, ``std::rethrow_exception`` should be used within
 a try block to re-throw the exception.  One or more catch clauses to catch
 the appropriate exceptions should then be used with each clause using
 ``PyErr_SetString`` to set a Python exception or ``ex(string)`` to set
 the python exception to a custom exception type (see below).

 To declare a custom Python exception type, declare a ``py::exception`` variable
 and use this in the associated exception translator (note: it is often useful
 to make this a static declaration when using it inside a lambda expression
 without requiring capturing).

 The following example demonstrates this for a hypothetical exception classes
 ``MyCustomException`` and ``OtherException``: the first is translated to a
 custom python exception ``MyCustomError``, while the second is translated to a
 standard python RuntimeError:

 .. code-block:: cpp

     static py::exception<MyCustomException> exc(m, "MyCustomError");
     py::register_exception_translator([](std::exception_ptr p) {
         try {
             if (p) std::rethrow_exception(p);
         } catch (const MyCustomException &e) {
             exc(e.what());
         } catch (const OtherException &e) {
             PyErr_SetString(PyExc_RuntimeError, e.what());
         }
     });

 Multiple exceptions can be handled by a single translator, as shown in the
 example above. If the exception is not caught by the current translator, the
 previously registered one gets a chance.

 If none of the registered exception translators is able to handle the
 exception, it is handled by the default converter as described in the previous
 section.

 .. seealso::

     The file :file:`tests/test_exceptions.cpp` contains examples
     of various custom exception translators and custom exception types.

 .. note::

     Call either ``PyErr_SetString`` or a custom exception's call
     operator (``exc(string)``) for every exception caught in a custom exception
     translator.  Failure to do so will cause Python to crash with ``SystemError:
     error return without exception set``.

     Exceptions that you do not plan to handle should simply not be caught, or
     may be explicitly (re-)thrown to delegate it to the other,
     previously-declared existing exception translators.

     Note that ``libc++`` and ``libstdc++`` `behave differently under macOS
     <https://stackoverflow.com/questions/19496643/using-clang-fvisibility-hidden-and-typeinfo-and-type-erasure/28827430>`_
     with ``-fvisibility=hidden``. Therefore exceptions that are used across ABI
     boundaries need to be explicitly exported, as exercised in
     ``tests/test_exceptions.h``. See also:
     "Problems with C++ exceptions" under `GCC Wiki <https://gcc.gnu.org/wiki/Visibility>`_.


 Local vs Global Exception Translators
 =====================================

 When a global exception translator is registered, it will be applied across all
 modules in the reverse order of registration. This can create behavior where the
 order of module import influences how exceptions are translated.

 If module1 has the following translator:

 .. code-block:: cpp

       py::register_exception_translator([](std::exception_ptr p) {
         try {
             if (p) std::rethrow_exception(p);
         } catch (const std::invalid_argument &e) {
             PyErr_SetString("module1 handled this")
         }
       }

 and module2 has the following similar translator:

 .. code-block:: cpp

       py::register_exception_translator([](std::exception_ptr p) {
         try {
             if (p) std::rethrow_exception(p);
         } catch (const std::invalid_argument &e) {
             PyErr_SetString("module2 handled this")
         }
       }

 then which translator handles the invalid_argument will be determined by the
 order that module1 and module2 are imported. Since exception translators are
 applied in the reverse order of registration, which ever module was imported
 last will "win" and that translator will be applied.

 If there are multiple pybind11 modules that share exception types (either
 standard built-in or custom) loaded into a single python instance and
 consistent error handling behavior is needed, then local translators should be
 used.

 Changing the previous example to use ``register_local_exception_translator``
 would mean that when invalid_argument is thrown in the module2 code, the
 module2 translator will always handle it, while in module1, the module1
 translator will do the same.

 .. _handling_python_exceptions_cpp:

 Handling exceptions from Python in C++
 ======================================

 When C++ calls Python functions, such as in a callback function or when
 manipulating Python objects, and Python raises an ``Exception``, pybind11
 converts the Python exception into a C++ exception of type
 :class:`pybind11::error_already_set` whose payload contains a C++ string textual
 summary and the actual Python exception. ``error_already_set`` is used to
 propagate Python exception back to Python (or possibly, handle them in C++).

 .. tabularcolumns:: |p{0.5\textwidth}|p{0.45\textwidth}|

 +--------------------------------------+--------------------------------------+
 |  Exception raised in Python          |  Thrown as C++ exception type        |
 +======================================+======================================+
 | Any Python ``Exception``             | :class:`pybind11::error_already_set` |
 +--------------------------------------+--------------------------------------+

 For example:

 .. code-block:: cpp

     try {
         // open("missing.txt", "r")
         auto file = py::module_::import("io").attr("open")("missing.txt", "r");
         auto text = file.attr("read")();
         file.attr("close")();
     } catch (py::error_already_set &e) {
         if (e.matches(PyExc_FileNotFoundError)) {
             py::print("missing.txt not found");
         } else if (e.matches(PyExc_PermissionError)) {
             py::print("missing.txt found but not accessible");
         } else {
             throw;
         }
     }

 Note that C++ to Python exception translation does not apply here, since that is
 a method for translating C++ exceptions to Python, not vice versa. The error raised
 from Python is always ``error_already_set``.

 This example illustrates this behavior:

 .. code-block:: cpp

     try {
         py::eval("raise ValueError('The Ring')");
     } catch (py::value_error &boromir) {
         // Boromir never gets the ring
         assert(false);
     } catch (py::error_already_set &frodo) {
         // Frodo gets the ring
         py::print("I will take the ring");
     }

     try {
         // py::value_error is a request for pybind11 to raise a Python exception
         throw py::value_error("The ball");
     } catch (py::error_already_set &cat) {
         // cat won't catch the ball since
         // py::value_error is not a Python exception
         assert(false);
     } catch (py::value_error &dog) {
         // dog will catch the ball
         py::print("Run Spot run");
         throw;  // Throw it again (pybind11 will raise ValueError)
     }

 Handling errors from the Python C API
 =====================================

 Where possible, use :ref:`pybind11 wrappers <wrappers>` instead of calling
 the Python C API directly. When calling the Python C API directly, in
 addition to manually managing reference counts, one must follow the pybind11
 error protocol, which is outlined here.

 After calling the Python C API, if Python returns an error,
 ``throw py::error_already_set();``, which allows pybind11 to deal with the
 exception and pass it back to the Python interpreter. This includes calls to
 the error setting functions such as ``PyErr_SetString``.

 .. code-block:: cpp

     PyErr_SetString(PyExc_TypeError, "C API type error demo");
     throw py::error_already_set();

     // But it would be easier to simply...
     throw py::type_error("pybind11 wrapper type error");

 Alternately, to ignore the error, call `PyErr_Clear
 <https://docs.python.org/3/c-api/exceptions.html#c.PyErr_Clear>`_.

 Any Python error must be thrown or cleared, or Python/pybind11 will be left in
 an invalid state.

 Chaining exceptions ('raise from')
 ==================================

 Python has a mechanism for indicating that exceptions were caused by other
 exceptions:

 .. code-block:: py

     try:
         print(1 / 0)
     except Exception as exc:
         raise RuntimeError("could not divide by zero") from exc

 To do a similar thing in pybind11, you can use the ``py::raise_from`` function. It
 sets the current python error indicator, so to continue propagating the exception
 you should ``throw py::error_already_set()``.

 .. code-block:: cpp

     try {
         py::eval("print(1 / 0"));
     } catch (py::error_already_set &e) {
         py::raise_from(e, PyExc_RuntimeError, "could not divide by zero");
         throw py::error_already_set();
     }

 .. versionadded:: 2.8

 .. _unraisable_exceptions:

 Handling unraisable exceptions
 ==============================

 If a Python function invoked from a C++ destructor or any function marked
 ``noexcept(true)`` (collectively, "noexcept functions") throws an exception, there
 is no way to propagate the exception, as such functions may not throw.
 Should they throw or fail to catch any exceptions in their call graph,
 the C++ runtime calls ``std::terminate()`` to abort immediately.

 Similarly, Python exceptions raised in a class's ``__del__`` method do not
 propagate, but are logged by Python as an unraisable error. In Python 3.8+, a
 `system hook is triggered
 <https://docs.python.org/3/library/sys.html#sys.unraisablehook>`_
 and an auditing event is logged.

 Any noexcept function should have a try-catch block that traps
 class:`error_already_set` (or any other exception that can occur). Note that
 pybind11 wrappers around Python exceptions such as
 :class:`pybind11::value_error` are *not* Python exceptions; they are C++
 exceptions that pybind11 catches and converts to Python exceptions. Noexcept
 functions cannot propagate these exceptions either. A useful approach is to
 convert them to Python exceptions and then ``discard_as_unraisable`` as shown
 below.

 .. code-block:: cpp

     void nonthrowing_func() noexcept(true) {
         try {
             // ...
         } catch (py::error_already_set &eas) {
             // Discard the Python error using Python APIs, using the C++ magic
             // variable __func__. Python already knows the type and value and of the
             // exception object.
             eas.discard_as_unraisable(__func__);
         } catch (const std::exception &e) {
             // Log and discard C++ exceptions.
             third_party::log(e);
         }
     }

 .. versionadded:: 2.6
	Exceptions
	##########

	Built-in C++ to Python exception translation
	============================================

	When Python calls C++ code through pybind11, pybind11 provides a C++ exception handler
	that will trap C++ exceptions, translate them to the corresponding Python exception,
	and raise them so that Python code can handle them.

	pybind11 defines translations for ``std::exception`` and its standard
	subclasses, and several special exception classes that translate to specific
	Python exceptions. Note that these are not actually Python exceptions, so they
	cannot be examined using the Python C API. Instead, they are pure C++ objects
	that pybind11 will translate the corresponding Python exception when they arrive
	at its exception handler.

	.. tabularcolumns:: \|p{0.5\textwidth}\|p{0.45\textwidth}\|

	+--------------------------------------+--------------------------------------+
	\| Exception thrown by C++ \| Translated to Python exception type \|
	+======================================+======================================+
	\| :class:`std::exception` \| ``RuntimeError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::bad_alloc` \| ``MemoryError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::domain_error` \| ``ValueError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::invalid_argument` \| ``ValueError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::length_error` \| ``ValueError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::out_of_range` \| ``IndexError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::range_error` \| ``ValueError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`std::overflow_error` \| ``OverflowError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::stop_iteration` \| ``StopIteration`` (used to implement \|
	\| \| custom iterators) \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::index_error` \| ``IndexError`` (used to indicate out \|
	\| \| of bounds access in ``__getitem__``, \|
	\| \| ``__setitem__``, etc.) \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::key_error` \| ``KeyError`` (used to indicate out \|
	\| \| of bounds access in ``__getitem__``, \|
	\| \| ``__setitem__`` in dict-like \|
	\| \| objects, etc.) \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::value_error` \| ``ValueError`` (used to indicate \|
	\| \| wrong value passed in \|
	\| \| ``container.remove(...)``) \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::type_error` \| ``TypeError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::buffer_error` \| ``BufferError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::import_error` \| ``ImportError`` \|
	+--------------------------------------+--------------------------------------+
	\| :class:`pybind11::attribute_error` \| ``AttributeError`` \|
	+--------------------------------------+--------------------------------------+
	\| Any other exception \| ``RuntimeError`` \|
	+--------------------------------------+--------------------------------------+

	Exception translation is not bidirectional. That is, catching the C++
	exceptions defined above will not trap exceptions that originate from
	Python. For that, catch :class:`pybind11::error_already_set`. See :ref:`below
	<handling_python_exceptions_cpp>` for further details.

	There is also a special exception :class:`cast_error` that is thrown by
	:func:`handle::call` when the input arguments cannot be converted to Python
	objects.

	Registering custom translators
	==============================

	If the default exception conversion policy described above is insufficient,
	pybind11 also provides support for registering custom exception translators.
	Similar to pybind11 classes, exception translators can be local to the module
	they are defined in or global to the entire python session. To register a simple
	exception conversion that translates a C++ exception into a new Python exception
	using the C++ exception's ``what()`` method, a helper function is available:

	.. code-block:: cpp

	py::register_exception<CppExp>(module, "PyExp");

	This call creates a Python exception class with the name ``PyExp`` in the given
	module and automatically converts any encountered exceptions of type ``CppExp``
	into Python exceptions of type ``PyExp``.

	A matching function is available for registering a local exception translator:

	.. code-block:: cpp

	py::register_local_exception<CppExp>(module, "PyExp");


	It is possible to specify base class for the exception using the third
	parameter, a ``handle``:

	.. code-block:: cpp

	py::register_exception<CppExp>(module, "PyExp", PyExc_RuntimeError);
	py::register_local_exception<CppExp>(module, "PyExp", PyExc_RuntimeError);

	Then ``PyExp`` can be caught both as ``PyExp`` and ``RuntimeError``.

	The class objects of the built-in Python exceptions are listed in the Python
	documentation on `Standard Exceptions <https://docs.python.org/3/c-api/exceptions.html#standard-exceptions>`_.
	The default base class is ``PyExc_Exception``.

	When more advanced exception translation is needed, the functions
	``py::register_exception_translator(translator)`` and
	``py::register_local_exception_translator(translator)`` can be used to register
	functions that can translate arbitrary exception types (and which may include
	additional logic to do so). The functions takes a stateless callable (e.g. a
	function pointer or a lambda function without captured variables) with the call
	signature ``void(std::exception_ptr)``.

	When a C++ exception is thrown, the registered exception translators are tried
	in reverse order of registration (i.e. the last registered translator gets the
	first shot at handling the exception). All local translators will be tried
	before a global translator is tried.

	Inside the translator, ``std::rethrow_exception`` should be used within
	a try block to re-throw the exception. One or more catch clauses to catch
	the appropriate exceptions should then be used with each clause using
	``PyErr_SetString`` to set a Python exception or ``ex(string)`` to set
	the python exception to a custom exception type (see below).

	To declare a custom Python exception type, declare a ``py::exception`` variable
	and use this in the associated exception translator (note: it is often useful
	to make this a static declaration when using it inside a lambda expression
	without requiring capturing).

	The following example demonstrates this for a hypothetical exception classes
	``MyCustomException`` and ``OtherException``: the first is translated to a
	custom python exception ``MyCustomError``, while the second is translated to a
	standard python RuntimeError:

	.. code-block:: cpp

	static py::exception<MyCustomException> exc(m, "MyCustomError");
	py::register_exception_translator([](std::exception_ptr p) {
	try {
	if (p) std::rethrow_exception(p);
	} catch (const MyCustomException &e) {
	exc(e.what());
	} catch (const OtherException &e) {
	PyErr_SetString(PyExc_RuntimeError, e.what());
	}
	});

	Multiple exceptions can be handled by a single translator, as shown in the
	example above. If the exception is not caught by the current translator, the
	previously registered one gets a chance.

	If none of the registered exception translators is able to handle the
	exception, it is handled by the default converter as described in the previous
	section.

	.. seealso::

	The file :file:`tests/test_exceptions.cpp` contains examples
	of various custom exception translators and custom exception types.

	.. note::

	Call either ``PyErr_SetString`` or a custom exception's call
	operator (``exc(string)``) for every exception caught in a custom exception
	translator. Failure to do so will cause Python to crash with ``SystemError:
	error return without exception set``.

	Exceptions that you do not plan to handle should simply not be caught, or
	may be explicitly (re-)thrown to delegate it to the other,
	previously-declared existing exception translators.

	Note that ``libc++`` and ``libstdc++`` `behave differently under macOS
	<https://stackoverflow.com/questions/19496643/using-clang-fvisibility-hidden-and-typeinfo-and-type-erasure/28827430>`_
	with ``-fvisibility=hidden``. Therefore exceptions that are used across ABI
	boundaries need to be explicitly exported, as exercised in
	``tests/test_exceptions.h``. See also:
	"Problems with C++ exceptions" under `GCC Wiki <https://gcc.gnu.org/wiki/Visibility>`_.


	Local vs Global Exception Translators
	=====================================

	When a global exception translator is registered, it will be applied across all
	modules in the reverse order of registration. This can create behavior where the
	order of module import influences how exceptions are translated.

	If module1 has the following translator:

	.. code-block:: cpp

	py::register_exception_translator([](std::exception_ptr p) {
	try {
	if (p) std::rethrow_exception(p);
	} catch (const std::invalid_argument &e) {
	PyErr_SetString("module1 handled this")
	}
	}

	and module2 has the following similar translator:

	.. code-block:: cpp

	py::register_exception_translator([](std::exception_ptr p) {
	try {
	if (p) std::rethrow_exception(p);
	} catch (const std::invalid_argument &e) {
	PyErr_SetString("module2 handled this")
	}
	}

	then which translator handles the invalid_argument will be determined by the
	order that module1 and module2 are imported. Since exception translators are
	applied in the reverse order of registration, which ever module was imported
	last will "win" and that translator will be applied.

	If there are multiple pybind11 modules that share exception types (either
	standard built-in or custom) loaded into a single python instance and
	consistent error handling behavior is needed, then local translators should be
	used.

	Changing the previous example to use ``register_local_exception_translator``
	would mean that when invalid_argument is thrown in the module2 code, the
	module2 translator will always handle it, while in module1, the module1
	translator will do the same.

	.. _handling_python_exceptions_cpp:

	Handling exceptions from Python in C++
	======================================

	When C++ calls Python functions, such as in a callback function or when
	manipulating Python objects, and Python raises an ``Exception``, pybind11
	converts the Python exception into a C++ exception of type
	:class:`pybind11::error_already_set` whose payload contains a C++ string textual
	summary and the actual Python exception. ``error_already_set`` is used to
	propagate Python exception back to Python (or possibly, handle them in C++).

	.. tabularcolumns:: \|p{0.5\textwidth}\|p{0.45\textwidth}\|

	+--------------------------------------+--------------------------------------+
	\| Exception raised in Python \| Thrown as C++ exception type \|
	+======================================+======================================+
	\| Any Python ``Exception`` \| :class:`pybind11::error_already_set` \|
	+--------------------------------------+--------------------------------------+

	For example:

	.. code-block:: cpp

	try {
	// open("missing.txt", "r")
	auto file = py::module_::import("io").attr("open")("missing.txt", "r");
	auto text = file.attr("read")();
	file.attr("close")();
	} catch (py::error_already_set &e) {
	if (e.matches(PyExc_FileNotFoundError)) {
	py::print("missing.txt not found");
	} else if (e.matches(PyExc_PermissionError)) {
	py::print("missing.txt found but not accessible");
	} else {
	throw;
	}
	}

	Note that C++ to Python exception translation does not apply here, since that is
	a method for translating C++ exceptions to Python, not vice versa. The error raised
	from Python is always ``error_already_set``.

	This example illustrates this behavior:

	.. code-block:: cpp

	try {
	py::eval("raise ValueError('The Ring')");
	} catch (py::value_error &boromir) {
	// Boromir never gets the ring
	assert(false);
	} catch (py::error_already_set &frodo) {
	// Frodo gets the ring
	py::print("I will take the ring");
	}

	try {
	// py::value_error is a request for pybind11 to raise a Python exception
	throw py::value_error("The ball");
	} catch (py::error_already_set &cat) {
	// cat won't catch the ball since
	// py::value_error is not a Python exception
	assert(false);
	} catch (py::value_error &dog) {
	// dog will catch the ball
	py::print("Run Spot run");
	throw; // Throw it again (pybind11 will raise ValueError)
	}

	Handling errors from the Python C API
	=====================================

	Where possible, use :ref:`pybind11 wrappers <wrappers>` instead of calling
	the Python C API directly. When calling the Python C API directly, in
	addition to manually managing reference counts, one must follow the pybind11
	error protocol, which is outlined here.

	After calling the Python C API, if Python returns an error,
	``throw py::error_already_set();``, which allows pybind11 to deal with the
	exception and pass it back to the Python interpreter. This includes calls to
	the error setting functions such as ``PyErr_SetString``.

	.. code-block:: cpp

	PyErr_SetString(PyExc_TypeError, "C API type error demo");
	throw py::error_already_set();

	// But it would be easier to simply...
	throw py::type_error("pybind11 wrapper type error");

	Alternately, to ignore the error, call `PyErr_Clear
	<https://docs.python.org/3/c-api/exceptions.html#c.PyErr_Clear>`_.

	Any Python error must be thrown or cleared, or Python/pybind11 will be left in
	an invalid state.

	Chaining exceptions ('raise from')
	==================================

	Python has a mechanism for indicating that exceptions were caused by other
	exceptions:

	.. code-block:: py

	try:
	print(1 / 0)
	except Exception as exc:
	raise RuntimeError("could not divide by zero") from exc

	To do a similar thing in pybind11, you can use the ``py::raise_from`` function. It
	sets the current python error indicator, so to continue propagating the exception
	you should ``throw py::error_already_set()``.

	.. code-block:: cpp

	try {
	py::eval("print(1 / 0"));
	} catch (py::error_already_set &e) {
	py::raise_from(e, PyExc_RuntimeError, "could not divide by zero");
	throw py::error_already_set();
	}

	.. versionadded:: 2.8

	.. _unraisable_exceptions:

	Handling unraisable exceptions
	==============================

	If a Python function invoked from a C++ destructor or any function marked
	``noexcept(true)`` (collectively, "noexcept functions") throws an exception, there
	is no way to propagate the exception, as such functions may not throw.
	Should they throw or fail to catch any exceptions in their call graph,
	the C++ runtime calls ``std::terminate()`` to abort immediately.

	Similarly, Python exceptions raised in a class's ``__del__`` method do not
	propagate, but are logged by Python as an unraisable error. In Python 3.8+, a
	`system hook is triggered
	<https://docs.python.org/3/library/sys.html#sys.unraisablehook>`_
	and an auditing event is logged.

	Any noexcept function should have a try-catch block that traps
	class:`error_already_set` (or any other exception that can occur). Note that
	pybind11 wrappers around Python exceptions such as
	:class:`pybind11::value_error` are not Python exceptions; they are C++
	exceptions that pybind11 catches and converts to Python exceptions. Noexcept
	functions cannot propagate these exceptions either. A useful approach is to
	convert them to Python exceptions and then ``discard_as_unraisable`` as shown
	below.

	.. code-block:: cpp

	void nonthrowing_func() noexcept(true) {
	try {
	// ...
	} catch (py::error_already_set &eas) {
	// Discard the Python error using Python APIs, using the C++ magic
	// variable __func__. Python already knows the type and value and of the
	// exception object.
	eas.discard_as_unraisable(__func__);
	} catch (const std::exception &e) {
	// Log and discard C++ exceptions.
	third_party::log(e);
	}
	}

	.. versionadded:: 2.6