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authorJason Lowe-Power <jason@lowepower.com>2017-11-17 17:02:05 -0800
committerJason Lowe-Power <jason@lowepower.com>2017-12-14 00:27:59 +0000
commitf07d5069d86e31ecf195664850f79fb00c445bd3 (patch)
treef54ac06896fa828f873d199a0e9b25bd94911c79 /ext/pybind11/docs
parent3f64b374c49491f18dc2ca538ed8c8597e4aac83 (diff)
downloadgem5-f07d5069d86e31ecf195664850f79fb00c445bd3.tar.xz
ext: Upgrade PyBind11 to version 2.2.1
This upgrade is necessary for pybind to build with GCC 7.2. We still need to add the patch for stl.h. MSC_FULL_VER change is no longer needed. See https://gem5-review.googlesource.com/c/public/gem5/+/2230 Change-Id: I806729217d022070583994c2dfcaa74476aef30f Signed-off-by: Jason Lowe-Power <jason@lowepower.com> Reviewed-on: https://gem5-review.googlesource.com/5801 Reviewed-by: Andreas Sandberg <andreas.sandberg@arm.com> Maintainer: Andreas Sandberg <andreas.sandberg@arm.com>
Diffstat (limited to 'ext/pybind11/docs')
-rw-r--r--ext/pybind11/docs/Doxyfile1
-rw-r--r--ext/pybind11/docs/advanced/cast/custom.rst6
-rw-r--r--ext/pybind11/docs/advanced/cast/eigen.rst8
-rw-r--r--ext/pybind11/docs/advanced/cast/functional.rst6
-rw-r--r--ext/pybind11/docs/advanced/cast/overview.rst5
-rw-r--r--ext/pybind11/docs/advanced/cast/stl.rst109
-rw-r--r--ext/pybind11/docs/advanced/cast/strings.rst116
-rw-r--r--ext/pybind11/docs/advanced/classes.rst484
-rw-r--r--ext/pybind11/docs/advanced/embedding.rst261
-rw-r--r--ext/pybind11/docs/advanced/functions.rst115
-rw-r--r--ext/pybind11/docs/advanced/misc.rst80
-rw-r--r--ext/pybind11/docs/advanced/pycpp/numpy.rst79
-rw-r--r--ext/pybind11/docs/advanced/pycpp/object.rst76
-rw-r--r--ext/pybind11/docs/advanced/pycpp/utilities.rst103
-rw-r--r--ext/pybind11/docs/advanced/smart_ptrs.rst6
-rw-r--r--ext/pybind11/docs/basics.rst58
-rw-r--r--ext/pybind11/docs/benchmark.py4
-rw-r--r--ext/pybind11/docs/benchmark.rst4
-rw-r--r--ext/pybind11/docs/changelog.rst359
-rw-r--r--ext/pybind11/docs/classes.rst69
-rw-r--r--ext/pybind11/docs/compiling.rst124
-rw-r--r--ext/pybind11/docs/conf.py10
-rw-r--r--ext/pybind11/docs/faq.rst64
-rw-r--r--ext/pybind11/docs/index.rst2
-rw-r--r--ext/pybind11/docs/reference.rst24
-rw-r--r--ext/pybind11/docs/release.rst7
-rw-r--r--ext/pybind11/docs/upgrade.rst404
27 files changed, 2277 insertions, 307 deletions
diff --git a/ext/pybind11/docs/Doxyfile b/ext/pybind11/docs/Doxyfile
index 4dc8bf059..1b9d1297c 100644
--- a/ext/pybind11/docs/Doxyfile
+++ b/ext/pybind11/docs/Doxyfile
@@ -1,5 +1,6 @@
PROJECT_NAME = pybind11
INPUT = ../include/pybind11/
+RECURSIVE = YES
GENERATE_HTML = NO
GENERATE_LATEX = NO
diff --git a/ext/pybind11/docs/advanced/cast/custom.rst b/ext/pybind11/docs/advanced/cast/custom.rst
index c854e7fcd..e4f99ac5b 100644
--- a/ext/pybind11/docs/advanced/cast/custom.rst
+++ b/ext/pybind11/docs/advanced/cast/custom.rst
@@ -78,6 +78,12 @@ type is explicitly allowed.
};
}} // namespace pybind11::detail
+.. note::
+
+ A ``type_caster<T>`` defined with ``PYBIND11_TYPE_CASTER(T, ...)`` requires
+ that ``T`` is default-constructible (``value`` is first default constructed
+ and then ``load()`` assigns to it).
+
.. warning::
When using custom type casters, it's important to declare them consistently
diff --git a/ext/pybind11/docs/advanced/cast/eigen.rst b/ext/pybind11/docs/advanced/cast/eigen.rst
index 5b0b08ca6..acdb51de6 100644
--- a/ext/pybind11/docs/advanced/cast/eigen.rst
+++ b/ext/pybind11/docs/advanced/cast/eigen.rst
@@ -57,7 +57,7 @@ expected:
.. code-block:: cpp
- void scale_by_2(Eigen::Ref<Eigen::VectorXd> m) {
+ void scale_by_2(Eigen::Ref<Eigen::VectorXd> v) {
v *= 2;
}
@@ -252,11 +252,11 @@ copying to take place:
using namespace pybind11::literals; // for "arg"_a
py::class_<MyClass>(m, "MyClass")
// ... other class definitions
- .def("some_method", &MyClass::some_method, py::arg().nocopy());
+ .def("some_method", &MyClass::some_method, py::arg().noconvert());
m.def("some_function", &some_function,
- "big"_a.nocopy(), // <- Don't allow copying for this arg
- "small"_a // <- This one can be copied if needed
+ "big"_a.noconvert(), // <- Don't allow copying for this arg
+ "small"_a // <- This one can be copied if needed
);
With the above binding code, attempting to call the the ``some_method(m)``
diff --git a/ext/pybind11/docs/advanced/cast/functional.rst b/ext/pybind11/docs/advanced/cast/functional.rst
index 5d0a01d13..d9b460575 100644
--- a/ext/pybind11/docs/advanced/cast/functional.rst
+++ b/ext/pybind11/docs/advanced/cast/functional.rst
@@ -56,14 +56,10 @@ trivial to generate binding code for all of these functions.
#include <pybind11/functional.h>
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
m.def("func_arg", &func_arg);
m.def("func_ret", &func_ret);
m.def("func_cpp", &func_cpp);
-
- return m.ptr();
}
The following interactive session shows how to call them from Python.
diff --git a/ext/pybind11/docs/advanced/cast/overview.rst b/ext/pybind11/docs/advanced/cast/overview.rst
index 54c11a90a..2ac7d3009 100644
--- a/ext/pybind11/docs/advanced/cast/overview.rst
+++ b/ext/pybind11/docs/advanced/cast/overview.rst
@@ -116,6 +116,9 @@ as arguments and return values, refer to the section on binding :ref:`classes`.
+------------------------------------+---------------------------+-------------------------------+
| ``std::wstring`` | STL dynamic wide string | :file:`pybind11/pybind11.h` |
+------------------------------------+---------------------------+-------------------------------+
+| ``std::string_view``, | STL C++17 string views | :file:`pybind11/pybind11.h` |
+| ``std::u16string_view``, etc. | | |
++------------------------------------+---------------------------+-------------------------------+
| ``std::pair<T1, T2>`` | Pair of two custom types | :file:`pybind11/pybind11.h` |
+------------------------------------+---------------------------+-------------------------------+
| ``std::tuple<...>`` | Arbitrary tuple of types | :file:`pybind11/pybind11.h` |
@@ -144,6 +147,8 @@ as arguments and return values, refer to the section on binding :ref:`classes`.
+------------------------------------+---------------------------+-------------------------------+
| ``std::experimental::optional<T>`` | STL optional type (exp.) | :file:`pybind11/stl.h` |
+------------------------------------+---------------------------+-------------------------------+
+| ``std::variant<...>`` | Type-safe union (C++17) | :file:`pybind11/stl.h` |
++------------------------------------+---------------------------+-------------------------------+
| ``std::function<...>`` | STL polymorphic function | :file:`pybind11/functional.h` |
+------------------------------------+---------------------------+-------------------------------+
| ``std::chrono::duration<...>`` | STL time duration | :file:`pybind11/chrono.h` |
diff --git a/ext/pybind11/docs/advanced/cast/stl.rst b/ext/pybind11/docs/advanced/cast/stl.rst
index c76da5ca1..3f30c0290 100644
--- a/ext/pybind11/docs/advanced/cast/stl.rst
+++ b/ext/pybind11/docs/advanced/cast/stl.rst
@@ -23,9 +23,62 @@ next sections for more details and alternative approaches that avoid this.
.. seealso::
- The file :file:`tests/test_python_types.cpp` contains a complete
+ The file :file:`tests/test_stl.cpp` contains a complete
example that demonstrates how to pass STL data types in more detail.
+.. _cpp17_container_casters:
+
+C++17 library containers
+========================
+
+The :file:`pybind11/stl.h` header also includes support for ``std::optional<>``
+and ``std::variant<>``. These require a C++17 compiler and standard library.
+In C++14 mode, ``std::experimental::optional<>`` is supported if available.
+
+Various versions of these containers also exist for C++11 (e.g. in Boost).
+pybind11 provides an easy way to specialize the ``type_caster`` for such
+types:
+
+.. code-block:: cpp
+
+ // `boost::optional` as an example -- can be any `std::optional`-like container
+ namespace pybind11 { namespace detail {
+ template <typename T>
+ struct type_caster<boost::optional<T>> : optional_caster<boost::optional<T>> {};
+ }}
+
+The above should be placed in a header file and included in all translation units
+where automatic conversion is needed. Similarly, a specialization can be provided
+for custom variant types:
+
+.. code-block:: cpp
+
+ // `boost::variant` as an example -- can be any `std::variant`-like container
+ namespace pybind11 { namespace detail {
+ template <typename... Ts>
+ struct type_caster<boost::variant<Ts...>> : variant_caster<boost::variant<Ts...>> {};
+
+ // Specifies the function used to visit the variant -- `apply_visitor` instead of `visit`
+ template <>
+ struct visit_helper<boost::variant> {
+ template <typename... Args>
+ static auto call(Args &&...args) -> decltype(boost::apply_visitor(args...)) {
+ return boost::apply_visitor(args...);
+ }
+ };
+ }} // namespace pybind11::detail
+
+The ``visit_helper`` specialization is not required if your ``name::variant`` provides
+a ``name::visit()`` function. For any other function name, the specialization must be
+included to tell pybind11 how to visit the variant.
+
+.. note::
+
+ pybind11 only supports the modern implementation of ``boost::variant``
+ which makes use of variadic templates. This requires Boost 1.56 or newer.
+ Additionally, on Windows, MSVC 2017 is required because ``boost::variant``
+ falls back to the old non-variadic implementation on MSVC 2015.
+
.. _opaque:
Making opaque types
@@ -105,10 +158,10 @@ the declaration
before any binding code (e.g. invocations to ``class_::def()``, etc.). This
macro must be specified at the top level (and outside of any namespaces), since
it instantiates a partial template overload. If your binding code consists of
-multiple compilation units, it must be present in every file preceding any
-usage of ``std::vector<int>``. Opaque types must also have a corresponding
-``class_`` declaration to associate them with a name in Python, and to define a
-set of available operations, e.g.:
+multiple compilation units, it must be present in every file (typically via a
+common header) preceding any usage of ``std::vector<int>``. Opaque types must
+also have a corresponding ``class_`` declaration to associate them with a name
+in Python, and to define a set of available operations, e.g.:
.. code-block:: cpp
@@ -122,6 +175,20 @@ set of available operations, e.g.:
}, py::keep_alive<0, 1>()) /* Keep vector alive while iterator is used */
// ....
+Please take a look at the :ref:`macro_notes` before using the
+``PYBIND11_MAKE_OPAQUE`` macro.
+
+.. seealso::
+
+ The file :file:`tests/test_opaque_types.cpp` contains a complete
+ example that demonstrates how to create and expose opaque types using
+ pybind11 in more detail.
+
+.. _stl_bind:
+
+Binding STL containers
+======================
+
The ability to expose STL containers as native Python objects is a fairly
common request, hence pybind11 also provides an optional header file named
:file:`pybind11/stl_bind.h` that does exactly this. The mapped containers try
@@ -143,14 +210,34 @@ The following example showcases usage of :file:`pybind11/stl_bind.h`:
py::bind_vector<std::vector<int>>(m, "VectorInt");
py::bind_map<std::map<std::string, double>>(m, "MapStringDouble");
-Please take a look at the :ref:`macro_notes` before using the
-``PYBIND11_MAKE_OPAQUE`` macro.
+When binding STL containers pybind11 considers the types of the container's
+elements to decide whether the container should be confined to the local module
+(via the :ref:`module_local` feature). If the container element types are
+anything other than already-bound custom types bound without
+``py::module_local()`` the container binding will have ``py::module_local()``
+applied. This includes converting types such as numeric types, strings, Eigen
+types; and types that have not yet been bound at the time of the stl container
+binding. This module-local binding is designed to avoid potential conflicts
+between module bindings (for example, from two separate modules each attempting
+to bind ``std::vector<int>`` as a python type).
+
+It is possible to override this behavior to force a definition to be either
+module-local or global. To do so, you can pass the attributes
+``py::module_local()`` (to make the binding module-local) or
+``py::module_local(false)`` (to make the binding global) into the
+``py::bind_vector`` or ``py::bind_map`` arguments:
-.. seealso::
+.. code-block:: cpp
- The file :file:`tests/test_opaque_types.cpp` contains a complete
- example that demonstrates how to create and expose opaque types using
- pybind11 in more detail.
+ py::bind_vector<std::vector<int>>(m, "VectorInt", py::module_local(false));
+
+Note, however, that such a global binding would make it impossible to load this
+module at the same time as any other pybind module that also attempts to bind
+the same container type (``std::vector<int>`` in the above example).
+
+See :ref:`module_local` for more details on module-local bindings.
+
+.. seealso::
The file :file:`tests/test_stl_binders.cpp` shows how to use the
convenience STL container wrappers.
diff --git a/ext/pybind11/docs/advanced/cast/strings.rst b/ext/pybind11/docs/advanced/cast/strings.rst
index c70fb0bec..2cdbade3a 100644
--- a/ext/pybind11/docs/advanced/cast/strings.rst
+++ b/ext/pybind11/docs/advanced/cast/strings.rst
@@ -3,14 +3,23 @@ Strings, bytes and Unicode conversions
.. note::
- This section discusses string handling in terms of Python 3 strings. For Python 2.7, replace all occurrences of ``str`` with ``unicode`` and ``bytes`` with ``str``. Python 2.7 users may find it best to use ``from __future__ import unicode_literals`` to avoid unintentionally using ``str`` instead of ``unicode``.
+ This section discusses string handling in terms of Python 3 strings. For
+ Python 2.7, replace all occurrences of ``str`` with ``unicode`` and
+ ``bytes`` with ``str``. Python 2.7 users may find it best to use ``from
+ __future__ import unicode_literals`` to avoid unintentionally using ``str``
+ instead of ``unicode``.
Passing Python strings to C++
=============================
-When a Python ``str`` is passed from Python to a C++ function that accepts ``std::string`` or ``char *`` as arguments, pybind11 will encode the Python string to UTF-8. All Python ``str`` can be encoded in UTF-8, so this operation does not fail.
+When a Python ``str`` is passed from Python to a C++ function that accepts
+``std::string`` or ``char *`` as arguments, pybind11 will encode the Python
+string to UTF-8. All Python ``str`` can be encoded in UTF-8, so this operation
+does not fail.
-The C++ language is encoding agnostic. It is the responsibility of the programmer to track encodings. It's often easiest to simply `use UTF-8 everywhere <http://utf8everywhere.org/>`_.
+The C++ language is encoding agnostic. It is the responsibility of the
+programmer to track encodings. It's often easiest to simply `use UTF-8
+everywhere <http://utf8everywhere.org/>`_.
.. code-block:: c++
@@ -39,20 +48,27 @@ The C++ language is encoding agnostic. It is the responsibility of the programme
.. note::
- Some terminal emulators do not support UTF-8 or emoji fonts and may not display the example above correctly.
+ Some terminal emulators do not support UTF-8 or emoji fonts and may not
+ display the example above correctly.
-The results are the same whether the C++ function accepts arguments by value or reference, and whether or not ``const`` is used.
+The results are the same whether the C++ function accepts arguments by value or
+reference, and whether or not ``const`` is used.
Passing bytes to C++
--------------------
-A Python ``bytes`` object will be passed to C++ functions that accept ``std::string`` or ``char*`` *without* conversion.
+A Python ``bytes`` object will be passed to C++ functions that accept
+``std::string`` or ``char*`` *without* conversion.
Returning C++ strings to Python
===============================
-When a C++ function returns a ``std::string`` or ``char*`` to a Python caller, **pybind11 will assume that the string is valid UTF-8** and will decode it to a native Python ``str``, using the same API as Python uses to perform ``bytes.decode('utf-8')``. If this implicit conversion fails, pybind11 will raise a ``UnicodeDecodeError``.
+When a C++ function returns a ``std::string`` or ``char*`` to a Python caller,
+**pybind11 will assume that the string is valid UTF-8** and will decode it to a
+native Python ``str``, using the same API as Python uses to perform
+``bytes.decode('utf-8')``. If this implicit conversion fails, pybind11 will
+raise a ``UnicodeDecodeError``.
.. code-block:: c++
@@ -68,16 +84,22 @@ When a C++ function returns a ``std::string`` or ``char*`` to a Python caller, *
True
-Because UTF-8 is inclusive of pure ASCII, there is never any issue with returning a pure ASCII string to Python. If there is any possibility that the string is not pure ASCII, it is necessary to ensure the encoding is valid UTF-8.
+Because UTF-8 is inclusive of pure ASCII, there is never any issue with
+returning a pure ASCII string to Python. If there is any possibility that the
+string is not pure ASCII, it is necessary to ensure the encoding is valid
+UTF-8.
.. warning::
- Implicit conversion assumes that a returned ``char *`` is null-terminated. If there is no null terminator a buffer overrun will occur.
+ Implicit conversion assumes that a returned ``char *`` is null-terminated.
+ If there is no null terminator a buffer overrun will occur.
Explicit conversions
--------------------
-If some C++ code constructs a ``std::string`` that is not a UTF-8 string, one can perform a explicit conversion and return a ``py::str`` object. Explicit conversion has the same overhead as implicit conversion.
+If some C++ code constructs a ``std::string`` that is not a UTF-8 string, one
+can perform a explicit conversion and return a ``py::str`` object. Explicit
+conversion has the same overhead as implicit conversion.
.. code-block:: c++
@@ -95,15 +117,20 @@ If some C++ code constructs a ``std::string`` that is not a UTF-8 string, one ca
>>> str_output()
'Send your résumé to Alice in HR'
-The `Python C API <https://docs.python.org/3/c-api/unicode.html#built-in-codecs>`_ provides several built-in codecs.
+The `Python C API
+<https://docs.python.org/3/c-api/unicode.html#built-in-codecs>`_ provides
+several built-in codecs.
-One could also use a third party encoding library such as libiconv to transcode to UTF-8.
+One could also use a third party encoding library such as libiconv to transcode
+to UTF-8.
Return C++ strings without conversion
-------------------------------------
-If the data in a C++ ``std::string`` does not represent text and should be returned to Python as ``bytes``, then one can return the data as a ``py::bytes`` object.
+If the data in a C++ ``std::string`` does not represent text and should be
+returned to Python as ``bytes``, then one can return the data as a
+``py::bytes`` object.
.. code-block:: c++
@@ -120,7 +147,8 @@ If the data in a C++ ``std::string`` does not represent text and should be retur
b'\xba\xd0\xba\xd0'
-Note the asymmetry: pybind11 will convert ``bytes`` to ``std::string`` without encoding, but cannot convert ``std::string`` back to ``bytes`` implicitly.
+Note the asymmetry: pybind11 will convert ``bytes`` to ``std::string`` without
+encoding, but cannot convert ``std::string`` back to ``bytes`` implicitly.
.. code-block:: c++
@@ -128,7 +156,7 @@ Note the asymmetry: pybind11 will convert ``bytes`` to ``std::string`` without e
[](std::string s) { // Accepts str or bytes from Python
return s; // Looks harmless, but implicitly converts to str
}
- );
+ );
.. code-block:: python
@@ -142,7 +170,12 @@ Note the asymmetry: pybind11 will convert ``bytes`` to ``std::string`` without e
Wide character strings
======================
-When a Python ``str`` is passed to a C++ function expecting ``std::wstring``, ``wchar_t*``, ``std::u16string`` or ``std::u32string``, the ``str`` will be encoded to UTF-16 or UTF-32 depending on how the C++ compiler implements each type, in the platform's endian. When strings of these types are returned, they are assumed to contain valid UTF-16 or UTF-32, and will be decoded to Python ``str``.
+When a Python ``str`` is passed to a C++ function expecting ``std::wstring``,
+``wchar_t*``, ``std::u16string`` or ``std::u32string``, the ``str`` will be
+encoded to UTF-16 or UTF-32 depending on how the C++ compiler implements each
+type, in the platform's native endianness. When strings of these types are
+returned, they are assumed to contain valid UTF-16 or UTF-32, and will be
+decoded to Python ``str``.
.. code-block:: c++
@@ -171,17 +204,23 @@ When a Python ``str`` is passed to a C++ function expecting ``std::wstring``, ``
.. warning::
- Wide character strings may not work as described on Python 2.7 or Python 3.3 compiled with ``--enable-unicode=ucs2``.
+ Wide character strings may not work as described on Python 2.7 or Python
+ 3.3 compiled with ``--enable-unicode=ucs2``.
-Strings in multibyte encodings such as Shift-JIS must transcoded to a UTF-8/16/32 before being returned to Python.
+Strings in multibyte encodings such as Shift-JIS must transcoded to a
+UTF-8/16/32 before being returned to Python.
Character literals
==================
-C++ functions that accept character literals as input will receive the first character of a Python ``str`` as their input. If the string is longer than one Unicode character, trailing characters will be ignored.
+C++ functions that accept character literals as input will receive the first
+character of a Python ``str`` as their input. If the string is longer than one
+Unicode character, trailing characters will be ignored.
-When a character literal is returned from C++ (such as a ``char`` or a ``wchar_t``), it will be converted to a ``str`` that represents the single character.
+When a character literal is returned from C++ (such as a ``char`` or a
+``wchar_t``), it will be converted to a ``str`` that represents the single
+character.
.. code-block:: c++
@@ -189,26 +228,34 @@ When a character literal is returned from C++ (such as a ``char`` or a ``wchar_t
m.def("pass_wchar", [](wchar_t w) { return w; });
.. code-block:: python
-
+
>>> example.pass_char('A')
'A'
-While C++ will cast integers to character types (``char c = 0x65;``), pybind11 does not convert Python integers to characters implicitly. The Python function ``chr()`` can be used to convert integers to characters.
+While C++ will cast integers to character types (``char c = 0x65;``), pybind11
+does not convert Python integers to characters implicitly. The Python function
+``chr()`` can be used to convert integers to characters.
.. code-block:: python
-
+
>>> example.pass_char(0x65)
TypeError
>>> example.pass_char(chr(0x65))
'A'
-If the desire is to work with an 8-bit integer, use ``int8_t`` or ``uint8_t`` as the argument type.
+If the desire is to work with an 8-bit integer, use ``int8_t`` or ``uint8_t``
+as the argument type.
Grapheme clusters
-----------------
-A single grapheme may be represented by two or more Unicode characters. For example 'é' is usually represented as U+00E9 but can also be expressed as the combining character sequence U+0065 U+0301 (that is, the letter 'e' followed by a combining acute accent). The combining character will be lost if the two-character sequence is passed as an argument, even though it renders as a single grapheme.
+A single grapheme may be represented by two or more Unicode characters. For
+example 'é' is usually represented as U+00E9 but can also be expressed as the
+combining character sequence U+0065 U+0301 (that is, the letter 'e' followed by
+a combining acute accent). The combining character will be lost if the
+two-character sequence is passed as an argument, even though it renders as a
+single grapheme.
.. code-block:: python
@@ -226,18 +273,31 @@ A single grapheme may be represented by two or more Unicode characters. For exam
>>> example.pass_wchar(combining_e_acute)
'e'
-Normalizing combining characters before passing the character literal to C++ may resolve *some* of these issues:
+Normalizing combining characters before passing the character literal to C++
+may resolve *some* of these issues:
.. code-block:: python
>>> example.pass_wchar(unicodedata.normalize('NFC', combining_e_acute))
'é'
-In some languages (Thai for example), there are `graphemes that cannot be expressed as a single Unicode code point <http://unicode.org/reports/tr29/#Grapheme_Cluster_Boundaries>`_, so there is no way to capture them in a C++ character type.
+In some languages (Thai for example), there are `graphemes that cannot be
+expressed as a single Unicode code point
+<http://unicode.org/reports/tr29/#Grapheme_Cluster_Boundaries>`_, so there is
+no way to capture them in a C++ character type.
+
+
+C++17 string views
+==================
+C++17 string views are automatically supported when compiling in C++17 mode.
+They follow the same rules for encoding and decoding as the corresponding STL
+string type (for example, a ``std::u16string_view`` argument will be passed
+UTF-16-encoded data, and a returned ``std::string_view`` will be decoded as
+UTF-8).
References
==========
* `The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) <https://www.joelonsoftware.com/2003/10/08/the-absolute-minimum-every-software-developer-absolutely-positively-must-know-about-unicode-and-character-sets-no-excuses/>`_
-* `C++ - Using STL Strings at Win32 API Boundaries <https://msdn.microsoft.com/en-ca/magazine/mt238407.aspx>`_ \ No newline at end of file
+* `C++ - Using STL Strings at Win32 API Boundaries <https://msdn.microsoft.com/en-ca/magazine/mt238407.aspx>`_
diff --git a/ext/pybind11/docs/advanced/classes.rst b/ext/pybind11/docs/advanced/classes.rst
index 8896441b6..93deeec62 100644
--- a/ext/pybind11/docs/advanced/classes.rst
+++ b/ext/pybind11/docs/advanced/classes.rst
@@ -45,9 +45,7 @@ Normally, the binding code for these classes would look as follows:
.. code-block:: cpp
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
py::class_<Animal> animal(m, "Animal");
animal
.def("go", &Animal::go);
@@ -56,8 +54,6 @@ Normally, the binding code for these classes would look as follows:
.def(py::init<>());
m.def("call_go", &call_go);
-
- return m.ptr();
}
However, these bindings are impossible to extend: ``Animal`` is not
@@ -90,18 +86,16 @@ functions, and :func:`PYBIND11_OVERLOAD` should be used for functions which have
a default implementation. There are also two alternate macros
:func:`PYBIND11_OVERLOAD_PURE_NAME` and :func:`PYBIND11_OVERLOAD_NAME` which
take a string-valued name argument between the *Parent class* and *Name of the
-function* slots, which defines the name of function in Python. This is required
+function* slots, which defines the name of function in Python. This is required
when the C++ and Python versions of the
function have different names, e.g. ``operator()`` vs ``__call__``.
The binding code also needs a few minor adaptations (highlighted):
.. code-block:: cpp
- :emphasize-lines: 4,6,7
-
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
+ :emphasize-lines: 2,4,5
+ PYBIND11_MODULE(example, m) {
py::class_<Animal, PyAnimal /* <--- trampoline*/> animal(m, "Animal");
animal
.def(py::init<>())
@@ -111,8 +105,6 @@ The binding code also needs a few minor adaptations (highlighted):
.def(py::init<>());
m.def("call_go", &call_go);
-
- return m.ptr();
}
Importantly, pybind11 is made aware of the trampoline helper class by
@@ -131,7 +123,7 @@ Bindings should be made against the actual class, not the trampoline helper clas
.def("go", &PyAnimal::go); /* <--- THIS IS WRONG, use &Animal::go */
Note, however, that the above is sufficient for allowing python classes to
-extend ``Animal``, but not ``Dog``: see ref:`virtual_and_inheritance` for the
+extend ``Animal``, but not ``Dog``: see :ref:`virtual_and_inheritance` for the
necessary steps required to providing proper overload support for inherited
classes.
@@ -152,6 +144,30 @@ a virtual method call.
>>> call_go(c)
u'meow! meow! meow! '
+If you are defining a custom constructor in a derived Python class, you *must*
+ensure that you explicitly call the bound C++ constructor using ``__init__``,
+*regardless* of whether it is a default constructor or not. Otherwise, the
+memory for the C++ portion of the instance will be left uninitialized, which
+will generally leave the C++ instance in an invalid state and cause undefined
+behavior if the C++ instance is subsequently used.
+
+Here is an example:
+
+.. code-block:: python
+
+ class Dachschund(Dog):
+ def __init__(self, name):
+ Dog.__init__(self) # Without this, undefind behavior may occur if the C++ portions are referenced.
+ self.name = name
+ def bark(self):
+ return "yap!"
+
+Note that a direct ``__init__`` constructor *should be called*, and ``super()``
+should not be used. For simple cases of linear inheritance, ``super()``
+may work, but once you begin mixing Python and C++ multiple inheritance,
+things will fall apart due to differences between Python's MRO and C++'s
+mechanisms.
+
Please take a look at the :ref:`macro_notes` before using this feature.
.. note::
@@ -306,6 +322,8 @@ can now create a python class that inherits from ``Dog``:
See the file :file:`tests/test_virtual_functions.cpp` for complete examples
using both the duplication and templated trampoline approaches.
+.. _extended_aliases:
+
Extended trampoline class functionality
=======================================
@@ -333,7 +351,7 @@ ensuring member initialization and (eventual) destruction.
.. seealso::
- See the file :file:`tests/test_alias_initialization.cpp` for complete examples
+ See the file :file:`tests/test_virtual_functions.cpp` for complete examples
showing both normal and forced trampoline instantiation.
.. _custom_constructors:
@@ -342,29 +360,129 @@ Custom constructors
===================
The syntax for binding constructors was previously introduced, but it only
-works when a constructor with the given parameters actually exists on the C++
-side. To extend this to more general cases, let's take a look at what actually
-happens under the hood: the following statement
+works when a constructor of the appropriate arguments actually exists on the
+C++ side. To extend this to more general cases, pybind11 makes it possible
+to bind factory functions as constructors. For example, suppose you have a
+class like this:
.. code-block:: cpp
+ class Example {
+ private:
+ Example(int); // private constructor
+ public:
+ // Factory function:
+ static Example create(int a) { return Example(a); }
+ };
+
py::class_<Example>(m, "Example")
- .def(py::init<int>());
+ .def(py::init(&Example::create));
-is short hand notation for
+While it is possible to create a straightforward binding of the static
+``create`` method, it may sometimes be preferable to expose it as a constructor
+on the Python side. This can be accomplished by calling ``.def(py::init(...))``
+with the function reference returning the new instance passed as an argument.
+It is also possible to use this approach to bind a function returning a new
+instance by raw pointer or by the holder (e.g. ``std::unique_ptr``).
+
+The following example shows the different approaches:
.. code-block:: cpp
+ class Example {
+ private:
+ Example(int); // private constructor
+ public:
+ // Factory function - returned by value:
+ static Example create(int a) { return Example(a); }
+
+ // These constructors are publicly callable:
+ Example(double);
+ Example(int, int);
+ Example(std::string);
+ };
+
py::class_<Example>(m, "Example")
- .def("__init__",
- [](Example &instance, int arg) {
- new (&instance) Example(arg);
- }
- );
+ // Bind the factory function as a constructor:
+ .def(py::init(&Example::create))
+ // Bind a lambda function returning a pointer wrapped in a holder:
+ .def(py::init([](std::string arg) {
+ return std::unique_ptr<Example>(new Example(arg));
+ }))
+ // Return a raw pointer:
+ .def(py::init([](int a, int b) { return new Example(a, b); }))
+ // You can mix the above with regular C++ constructor bindings as well:
+ .def(py::init<double>())
+ ;
+
+When the constructor is invoked from Python, pybind11 will call the factory
+function and store the resulting C++ instance in the Python instance.
+
+When combining factory functions constructors with :ref:`virtual function
+trampolines <overriding_virtuals>` there are two approaches. The first is to
+add a constructor to the alias class that takes a base value by
+rvalue-reference. If such a constructor is available, it will be used to
+construct an alias instance from the value returned by the factory function.
+The second option is to provide two factory functions to ``py::init()``: the
+first will be invoked when no alias class is required (i.e. when the class is
+being used but not inherited from in Python), and the second will be invoked
+when an alias is required.
+
+You can also specify a single factory function that always returns an alias
+instance: this will result in behaviour similar to ``py::init_alias<...>()``,
+as described in the :ref:`extended trampoline class documentation
+<extended_aliases>`.
+
+The following example shows the different factory approaches for a class with
+an alias:
+
+.. code-block:: cpp
+
+ #include <pybind11/factory.h>
+ class Example {
+ public:
+ // ...
+ virtual ~Example() = default;
+ };
+ class PyExample : public Example {
+ public:
+ using Example::Example;
+ PyExample(Example &&base) : Example(std::move(base)) {}
+ };
+ py::class_<Example, PyExample>(m, "Example")
+ // Returns an Example pointer. If a PyExample is needed, the Example
+ // instance will be moved via the extra constructor in PyExample, above.
+ .def(py::init([]() { return new Example(); }))
+ // Two callbacks:
+ .def(py::init([]() { return new Example(); } /* no alias needed */,
+ []() { return new PyExample(); } /* alias needed */))
+ // *Always* returns an alias instance (like py::init_alias<>())
+ .def(py::init([]() { return new PyExample(); }))
+ ;
+
+Brace initialization
+--------------------
+
+``pybind11::init<>`` internally uses C++11 brace initialization to call the
+constructor of the target class. This means that it can be used to bind
+*implicit* constructors as well:
+
+.. code-block:: cpp
+
+ struct Aggregate {
+ int a;
+ std::string b;
+ };
+
+ py::class_<Aggregate>(m, "Aggregate")
+ .def(py::init<int, const std::string &>());
-In other words, :func:`init` creates an anonymous function that invokes an
-in-place constructor. Memory allocation etc. is already take care of beforehand
-within pybind11.
+.. note::
+
+ Note that brace initialization preferentially invokes constructor overloads
+ taking a ``std::initializer_list``. In the rare event that this causes an
+ issue, you can work around it by using ``py::init(...)`` with a lambda
+ function that constructs the new object as desired.
.. _classes_with_non_public_destructors:
@@ -435,6 +553,10 @@ Python side:
Implicit conversions from ``A`` to ``B`` only work when ``B`` is a custom
data type that is exposed to Python via pybind11.
+ To prevent runaway recursion, implicit conversions are non-reentrant: an
+ implicit conversion invoked as part of another implicit conversion of the
+ same type (i.e. from ``A`` to ``B``) will fail.
+
.. _static_properties:
Static properties
@@ -491,9 +613,7 @@ to Python.
#include <pybind11/operators.h>
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
py::class_<Vector2>(m, "Vector2")
.def(py::init<float, float>())
.def(py::self + py::self)
@@ -502,8 +622,6 @@ to Python.
.def(float() * py::self)
.def(py::self * float())
.def("__repr__", &Vector2::toString);
-
- return m.ptr();
}
Note that a line like
@@ -537,13 +655,15 @@ throwing a type error.
complete example that demonstrates how to work with overloaded operators in
more detail.
+.. _pickling:
+
Pickling support
================
Python's ``pickle`` module provides a powerful facility to serialize and
de-serialize a Python object graph into a binary data stream. To pickle and
-unpickle C++ classes using pybind11, two additional functions must be provided.
-Suppose the class in question has the following signature:
+unpickle C++ classes using pybind11, a ``py::pickle()`` definition must be
+provided. Suppose the class in question has the following signature:
.. code-block:: cpp
@@ -559,8 +679,9 @@ Suppose the class in question has the following signature:
int m_extra = 0;
};
-The binding code including the requisite ``__setstate__`` and ``__getstate__`` methods [#f3]_
-looks as follows:
+Pickling support in Python is enabled by defining the ``__setstate__`` and
+``__getstate__`` methods [#f3]_. For pybind11 classes, use ``py::pickle()``
+to bind these two functions:
.. code-block:: cpp
@@ -569,21 +690,28 @@ looks as follows:
.def("value", &Pickleable::value)
.def("extra", &Pickleable::extra)
.def("setExtra", &Pickleable::setExtra)
- .def("__getstate__", [](const Pickleable &p) {
- /* Return a tuple that fully encodes the state of the object */
- return py::make_tuple(p.value(), p.extra());
- })
- .def("__setstate__", [](Pickleable &p, py::tuple t) {
- if (t.size() != 2)
- throw std::runtime_error("Invalid state!");
-
- /* Invoke the in-place constructor. Note that this is needed even
- when the object just has a trivial default constructor */
- new (&p) Pickleable(t[0].cast<std::string>());
-
- /* Assign any additional state */
- p.setExtra(t[1].cast<int>());
- });
+ .def(py::pickle(
+ [](const Pickleable &p) { // __getstate__
+ /* Return a tuple that fully encodes the state of the object */
+ return py::make_tuple(p.value(), p.extra());
+ },
+ [](py::tuple t) { // __setstate__
+ if (t.size() != 2)
+ throw std::runtime_error("Invalid state!");
+
+ /* Create a new C++ instance */
+ Pickleable p(t[0].cast<std::string>());
+
+ /* Assign any additional state */
+ p.setExtra(t[1].cast<int>());
+
+ return p;
+ }
+ ));
+
+The ``__setstate__`` part of the ``py::picke()`` definition follows the same
+rules as the single-argument version of ``py::init()``. The return type can be
+a value, pointer or holder type. See :ref:`custom_constructors` for details.
An instance can now be pickled as follows:
@@ -631,27 +759,243 @@ interspersed with alias types and holder types (discussed earlier in this
document)---pybind11 will automatically find out which is which. The only
requirement is that the first template argument is the type to be declared.
-There are two caveats regarding the implementation of this feature:
+It is also permitted to inherit multiply from exported C++ classes in Python,
+as well as inheriting from multiple Python and/or pybind-exported classes.
+
+There is one caveat regarding the implementation of this feature:
+
+When only one base type is specified for a C++ type that actually has multiple
+bases, pybind11 will assume that it does not participate in multiple
+inheritance, which can lead to undefined behavior. In such cases, add the tag
+``multiple_inheritance`` to the class constructor:
+
+.. code-block:: cpp
+
+ py::class_<MyType, BaseType2>(m, "MyType", py::multiple_inheritance());
+
+The tag is redundant and does not need to be specified when multiple base types
+are listed.
+
+.. _module_local:
+
+Module-local class bindings
+===========================
+
+When creating a binding for a class, pybind by default makes that binding
+"global" across modules. What this means is that a type defined in one module
+can be returned from any module resulting in the same Python type. For
+example, this allows the following:
+
+.. code-block:: cpp
+
+ // In the module1.cpp binding code for module1:
+ py::class_<Pet>(m, "Pet")
+ .def(py::init<std::string>())
+ .def_readonly("name", &Pet::name);
+
+.. code-block:: cpp
+
+ // In the module2.cpp binding code for module2:
+ m.def("create_pet", [](std::string name) { return new Pet(name); });
+
+.. code-block:: pycon
+
+ >>> from module1 import Pet
+ >>> from module2 import create_pet
+ >>> pet1 = Pet("Kitty")
+ >>> pet2 = create_pet("Doggy")
+ >>> pet2.name()
+ 'Doggy'
+
+When writing binding code for a library, this is usually desirable: this
+allows, for example, splitting up a complex library into multiple Python
+modules.
+
+In some cases, however, this can cause conflicts. For example, suppose two
+unrelated modules make use of an external C++ library and each provide custom
+bindings for one of that library's classes. This will result in an error when
+a Python program attempts to import both modules (directly or indirectly)
+because of conflicting definitions on the external type:
+
+.. code-block:: cpp
+
+ // dogs.cpp
-1. When only one base type is specified for a C++ type that actually has
- multiple bases, pybind11 will assume that it does not participate in
- multiple inheritance, which can lead to undefined behavior. In such cases,
- add the tag ``multiple_inheritance``:
+ // Binding for external library class:
+ py::class<pets::Pet>(m, "Pet")
+ .def("name", &pets::Pet::name);
- .. code-block:: cpp
+ // Binding for local extension class:
+ py::class<Dog, pets::Pet>(m, "Dog")
+ .def(py::init<std::string>());
- py::class_<MyType, BaseType2>(m, "MyType", py::multiple_inheritance());
+.. code-block:: cpp
+
+ // cats.cpp, in a completely separate project from the above dogs.cpp.
+
+ // Binding for external library class:
+ py::class<pets::Pet>(m, "Pet")
+ .def("get_name", &pets::Pet::name);
+
+ // Binding for local extending class:
+ py::class<Cat, pets::Pet>(m, "Cat")
+ .def(py::init<std::string>());
+
+.. code-block:: pycon
+
+ >>> import cats
+ >>> import dogs
+ Traceback (most recent call last):
+ File "<stdin>", line 1, in <module>
+ ImportError: generic_type: type "Pet" is already registered!
+
+To get around this, you can tell pybind11 to keep the external class binding
+localized to the module by passing the ``py::module_local()`` attribute into
+the ``py::class_`` constructor:
+
+.. code-block:: cpp
+
+ // Pet binding in dogs.cpp:
+ py::class<pets::Pet>(m, "Pet", py::module_local())
+ .def("name", &pets::Pet::name);
+
+.. code-block:: cpp
+
+ // Pet binding in cats.cpp:
+ py::class<pets::Pet>(m, "Pet", py::module_local())
+ .def("get_name", &pets::Pet::name);
+
+This makes the Python-side ``dogs.Pet`` and ``cats.Pet`` into distinct classes,
+avoiding the conflict and allowing both modules to be loaded. C++ code in the
+``dogs`` module that casts or returns a ``Pet`` instance will result in a
+``dogs.Pet`` Python instance, while C++ code in the ``cats`` module will result
+in a ``cats.Pet`` Python instance.
+
+This does come with two caveats, however: First, external modules cannot return
+or cast a ``Pet`` instance to Python (unless they also provide their own local
+bindings). Second, from the Python point of view they are two distinct classes.
+
+Note that the locality only applies in the C++ -> Python direction. When
+passing such a ``py::module_local`` type into a C++ function, the module-local
+classes are still considered. This means that if the following function is
+added to any module (including but not limited to the ``cats`` and ``dogs``
+modules above) it will be callable with either a ``dogs.Pet`` or ``cats.Pet``
+argument:
+
+.. code-block:: cpp
+
+ m.def("pet_name", [](const pets::Pet &pet) { return pet.name(); });
+
+For example, suppose the above function is added to each of ``cats.cpp``,
+``dogs.cpp`` and ``frogs.cpp`` (where ``frogs.cpp`` is some other module that
+does *not* bind ``Pets`` at all).
+
+.. code-block:: pycon
+
+ >>> import cats, dogs, frogs # No error because of the added py::module_local()
+ >>> mycat, mydog = cats.Cat("Fluffy"), dogs.Dog("Rover")
+ >>> (cats.pet_name(mycat), dogs.pet_name(mydog))
+ ('Fluffy', 'Rover')
+ >>> (cats.pet_name(mydog), dogs.pet_name(mycat), frogs.pet_name(mycat))
+ ('Rover', 'Fluffy', 'Fluffy')
+
+It is possible to use ``py::module_local()`` registrations in one module even
+if another module registers the same type globally: within the module with the
+module-local definition, all C++ instances will be cast to the associated bound
+Python type. In other modules any such values are converted to the global
+Python type created elsewhere.
+
+.. note::
+
+ STL bindings (as provided via the optional :file:`pybind11/stl_bind.h`
+ header) apply ``py::module_local`` by default when the bound type might
+ conflict with other modules; see :ref:`stl_bind` for details.
+
+.. note::
+
+ The localization of the bound types is actually tied to the shared object
+ or binary generated by the compiler/linker. For typical modules created
+ with ``PYBIND11_MODULE()``, this distinction is not significant. It is
+ possible, however, when :ref:`embedding` to embed multiple modules in the
+ same binary (see :ref:`embedding_modules`). In such a case, the
+ localization will apply across all embedded modules within the same binary.
+
+.. seealso::
+
+ The file :file:`tests/test_local_bindings.cpp` contains additional examples
+ that demonstrate how ``py::module_local()`` works.
- The tag is redundant and does not need to be specified when multiple base
- types are listed.
+Binding protected member functions
+==================================
+
+It's normally not possible to expose ``protected`` member functions to Python:
+
+.. code-block:: cpp
+
+ class A {
+ protected:
+ int foo() const { return 42; }
+ };
+
+ py::class_<A>(m, "A")
+ .def("foo", &A::foo); // error: 'foo' is a protected member of 'A'
+
+On one hand, this is good because non-``public`` members aren't meant to be
+accessed from the outside. But we may want to make use of ``protected``
+functions in derived Python classes.
+
+The following pattern makes this possible:
+
+.. code-block:: cpp
+
+ class A {
+ protected:
+ int foo() const { return 42; }
+ };
+
+ class Publicist : public A { // helper type for exposing protected functions
+ public:
+ using A::foo; // inherited with different access modifier
+ };
+
+ py::class_<A>(m, "A") // bind the primary class
+ .def("foo", &Publicist::foo); // expose protected methods via the publicist
+
+This works because ``&Publicist::foo`` is exactly the same function as
+``&A::foo`` (same signature and address), just with a different access
+modifier. The only purpose of the ``Publicist`` helper class is to make
+the function name ``public``.
+
+If the intent is to expose ``protected`` ``virtual`` functions which can be
+overridden in Python, the publicist pattern can be combined with the previously
+described trampoline:
+
+.. code-block:: cpp
+
+ class A {
+ public:
+ virtual ~A() = default;
+
+ protected:
+ virtual int foo() const { return 42; }
+ };
+
+ class Trampoline : public A {
+ public:
+ int foo() const override { PYBIND11_OVERLOAD(int, A, foo, ); }
+ };
+
+ class Publicist : public A {
+ public:
+ using A::foo;
+ };
+
+ py::class_<A, Trampoline>(m, "A") // <-- `Trampoline` here
+ .def("foo", &Publicist::foo); // <-- `Publicist` here, not `Trampoline`!
+
+.. note::
-2. As was previously discussed in the section on :ref:`overriding_virtuals`, it
- is easy to create Python types that derive from C++ classes. It is even
- possible to make use of multiple inheritance to declare a Python class which
- has e.g. a C++ and a Python class as bases. However, any attempt to create a
- type that has *two or more* C++ classes in its hierarchy of base types will
- fail with a fatal error message: ``TypeError: multiple bases have instance
- lay-out conflict``. Core Python types that are implemented in C (e.g.
- ``dict``, ``list``, ``Exception``, etc.) also fall under this combination
- and cannot be combined with C++ types bound using pybind11 via multiple
- inheritance.
+ MSVC 2015 has a compiler bug (fixed in version 2017) which
+ requires a more explicit function binding in the form of
+ ``.def("foo", static_cast<int (A::*)() const>(&Publicist::foo));``
+ where ``int (A::*)() const`` is the type of ``A::foo``.
diff --git a/ext/pybind11/docs/advanced/embedding.rst b/ext/pybind11/docs/advanced/embedding.rst
new file mode 100644
index 000000000..393031603
--- /dev/null
+++ b/ext/pybind11/docs/advanced/embedding.rst
@@ -0,0 +1,261 @@
+.. _embedding:
+
+Embedding the interpreter
+#########################
+
+While pybind11 is mainly focused on extending Python using C++, it's also
+possible to do the reverse: embed the Python interpreter into a C++ program.
+All of the other documentation pages still apply here, so refer to them for
+general pybind11 usage. This section will cover a few extra things required
+for embedding.
+
+Getting started
+===============
+
+A basic executable with an embedded interpreter can be created with just a few
+lines of CMake and the ``pybind11::embed`` target, as shown below. For more
+information, see :doc:`/compiling`.
+
+.. code-block:: cmake
+
+ cmake_minimum_required(VERSION 3.0)
+ project(example)
+
+ find_package(pybind11 REQUIRED) # or `add_subdirectory(pybind11)`
+
+ add_executable(example main.cpp)
+ target_link_libraries(example PRIVATE pybind11::embed)
+
+The essential structure of the ``main.cpp`` file looks like this:
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h> // everything needed for embedding
+ namespace py = pybind11;
+
+ int main() {
+ py::scoped_interpreter guard{}; // start the interpreter and keep it alive
+
+ py::print("Hello, World!"); // use the Python API
+ }
+
+The interpreter must be initialized before using any Python API, which includes
+all the functions and classes in pybind11. The RAII guard class `scoped_interpreter`
+takes care of the interpreter lifetime. After the guard is destroyed, the interpreter
+shuts down and clears its memory. No Python functions can be called after this.
+
+Executing Python code
+=====================
+
+There are a few different ways to run Python code. One option is to use `eval`,
+`exec` or `eval_file`, as explained in :ref:`eval`. Here is a quick example in
+the context of an executable with an embedded interpreter:
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ namespace py = pybind11;
+
+ int main() {
+ py::scoped_interpreter guard{};
+
+ py::exec(R"(
+ kwargs = dict(name="World", number=42)
+ message = "Hello, {name}! The answer is {number}".format(**kwargs)
+ print(message)
+ )");
+ }
+
+Alternatively, similar results can be achieved using pybind11's API (see
+:doc:`/advanced/pycpp/index` for more details).
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ namespace py = pybind11;
+ using namespace py::literals;
+
+ int main() {
+ py::scoped_interpreter guard{};
+
+ auto kwargs = py::dict("name"_a="World", "number"_a=42);
+ auto message = "Hello, {name}! The answer is {number}"_s.format(**kwargs);
+ py::print(message);
+ }
+
+The two approaches can also be combined:
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ #include <iostream>
+
+ namespace py = pybind11;
+ using namespace py::literals;
+
+ int main() {
+ py::scoped_interpreter guard{};
+
+ auto locals = py::dict("name"_a="World", "number"_a=42);
+ py::exec(R"(
+ message = "Hello, {name}! The answer is {number}".format(**locals())
+ )", py::globals(), locals);
+
+ auto message = locals["message"].cast<std::string>();
+ std::cout << message;
+ }
+
+Importing modules
+=================
+
+Python modules can be imported using `module::import()`:
+
+.. code-block:: cpp
+
+ py::module sys = py::module::import("sys");
+ py::print(sys.attr("path"));
+
+For convenience, the current working directory is included in ``sys.path`` when
+embedding the interpreter. This makes it easy to import local Python files:
+
+.. code-block:: python
+
+ """calc.py located in the working directory"""
+
+ def add(i, j):
+ return i + j
+
+
+.. code-block:: cpp
+
+ py::module calc = py::module::import("calc");
+ py::object result = calc.attr("add")(1, 2);
+ int n = result.cast<int>();
+ assert(n == 3);
+
+Modules can be reloaded using `module::reload()` if the source is modified e.g.
+by an external process. This can be useful in scenarios where the application
+imports a user defined data processing script which needs to be updated after
+changes by the user. Note that this function does not reload modules recursively.
+
+.. _embedding_modules:
+
+Adding embedded modules
+=======================
+
+Embedded binary modules can be added using the `PYBIND11_EMBEDDED_MODULE` macro.
+Note that the definition must be placed at global scope. They can be imported
+like any other module.
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ namespace py = pybind11;
+
+ PYBIND11_EMBEDDED_MODULE(fast_calc, m) {
+ // `m` is a `py::module` which is used to bind functions and classes
+ m.def("add", [](int i, int j) {
+ return i + j;
+ });
+ }
+
+ int main() {
+ py::scoped_interpreter guard{};
+
+ auto fast_calc = py::module::import("fast_calc");
+ auto result = fast_calc.attr("add")(1, 2).cast<int>();
+ assert(result == 3);
+ }
+
+Unlike extension modules where only a single binary module can be created, on
+the embedded side an unlimited number of modules can be added using multiple
+`PYBIND11_EMBEDDED_MODULE` definitions (as long as they have unique names).
+
+These modules are added to Python's list of builtins, so they can also be
+imported in pure Python files loaded by the interpreter. Everything interacts
+naturally:
+
+.. code-block:: python
+
+ """py_module.py located in the working directory"""
+ import cpp_module
+
+ a = cpp_module.a
+ b = a + 1
+
+
+.. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ namespace py = pybind11;
+
+ PYBIND11_EMBEDDED_MODULE(cpp_module, m) {
+ m.attr("a") = 1;
+ }
+
+ int main() {
+ py::scoped_interpreter guard{};
+
+ auto py_module = py::module::import("py_module");
+
+ auto locals = py::dict("fmt"_a="{} + {} = {}", **py_module.attr("__dict__"));
+ assert(locals["a"].cast<int>() == 1);
+ assert(locals["b"].cast<int>() == 2);
+
+ py::exec(R"(
+ c = a + b
+ message = fmt.format(a, b, c)
+ )", py::globals(), locals);
+
+ assert(locals["c"].cast<int>() == 3);
+ assert(locals["message"].cast<std::string>() == "1 + 2 = 3");
+ }
+
+
+Interpreter lifetime
+====================
+
+The Python interpreter shuts down when `scoped_interpreter` is destroyed. After
+this, creating a new instance will restart the interpreter. Alternatively, the
+`initialize_interpreter` / `finalize_interpreter` pair of functions can be used
+to directly set the state at any time.
+
+Modules created with pybind11 can be safely re-initialized after the interpreter
+has been restarted. However, this may not apply to third-party extension modules.
+The issue is that Python itself cannot completely unload extension modules and
+there are several caveats with regard to interpreter restarting. In short, not
+all memory may be freed, either due to Python reference cycles or user-created
+global data. All the details can be found in the CPython documentation.
+
+.. warning::
+
+ Creating two concurrent `scoped_interpreter` guards is a fatal error. So is
+ calling `initialize_interpreter` for a second time after the interpreter
+ has already been initialized.
+
+ Do not use the raw CPython API functions ``Py_Initialize`` and
+ ``Py_Finalize`` as these do not properly handle the lifetime of
+ pybind11's internal data.
+
+
+Sub-interpreter support
+=======================
+
+Creating multiple copies of `scoped_interpreter` is not possible because it
+represents the main Python interpreter. Sub-interpreters are something different
+and they do permit the existence of multiple interpreters. This is an advanced
+feature of the CPython API and should be handled with care. pybind11 does not
+currently offer a C++ interface for sub-interpreters, so refer to the CPython
+documentation for all the details regarding this feature.
+
+We'll just mention a couple of caveats the sub-interpreters support in pybind11:
+
+ 1. Sub-interpreters will not receive independent copies of embedded modules.
+ Instead, these are shared and modifications in one interpreter may be
+ reflected in another.
+
+ 2. Managing multiple threads, multiple interpreters and the GIL can be
+ challenging and there are several caveats here, even within the pure
+ CPython API (please refer to the Python docs for details). As for
+ pybind11, keep in mind that `gil_scoped_release` and `gil_scoped_acquire`
+ do not take sub-interpreters into account.
diff --git a/ext/pybind11/docs/advanced/functions.rst b/ext/pybind11/docs/advanced/functions.rst
index e0b0fe095..c7892b5d3 100644
--- a/ext/pybind11/docs/advanced/functions.rst
+++ b/ext/pybind11/docs/advanced/functions.rst
@@ -162,22 +162,25 @@ Additional call policies
========================
In addition to the above return value policies, further *call policies* can be
-specified to indicate dependencies between parameters. In general, call policies
-are required when the C++ object is any kind of container and another object is being
-added to the container.
-
-There is currently just
-one policy named ``keep_alive<Nurse, Patient>``, which indicates that the
-argument with index ``Patient`` should be kept alive at least until the
-argument with index ``Nurse`` is freed by the garbage collector. Argument
+specified to indicate dependencies between parameters or ensure a certain state
+for the function call.
+
+Keep alive
+----------
+
+In general, this policy is required when the C++ object is any kind of container
+and another object is being added to the container. ``keep_alive<Nurse, Patient>``
+indicates that the argument with index ``Patient`` should be kept alive at least
+until the argument with index ``Nurse`` is freed by the garbage collector. Argument
indices start at one, while zero refers to the return value. For methods, index
``1`` refers to the implicit ``this`` pointer, while regular arguments begin at
index ``2``. Arbitrarily many call policies can be specified. When a ``Nurse``
with value ``None`` is detected at runtime, the call policy does nothing.
-This feature internally relies on the ability to create a *weak reference* to
-the nurse object, which is permitted by all classes exposed via pybind11. When
-the nurse object does not support weak references, an exception will be thrown.
+When the nurse is not a pybind11-registered type, the implementation internally
+relies on the ability to create a *weak reference* to the nurse object. When
+the nurse object is not a pybind11-registered type and does not support weak
+references, an exception will be thrown.
Consider the following example: here, the binding code for a list append
operation ties the lifetime of the newly added element to the underlying
@@ -188,16 +191,53 @@ container:
py::class_<List>(m, "List")
.def("append", &List::append, py::keep_alive<1, 2>());
+For consistency, the argument indexing is identical for constructors. Index
+``1`` still refers to the implicit ``this`` pointer, i.e. the object which is
+being constructed. Index ``0`` refers to the return type which is presumed to
+be ``void`` when a constructor is viewed like a function. The following example
+ties the lifetime of the constructor element to the constructed object:
+
+.. code-block:: cpp
+
+ py::class_<Nurse>(m, "Nurse")
+ .def(py::init<Patient &>(), py::keep_alive<1, 2>());
+
.. note::
``keep_alive`` is analogous to the ``with_custodian_and_ward`` (if Nurse,
Patient != 0) and ``with_custodian_and_ward_postcall`` (if Nurse/Patient ==
0) policies from Boost.Python.
+Call guard
+----------
+
+The ``call_guard<T>`` policy allows any scope guard type ``T`` to be placed
+around the function call. For example, this definition:
+
+.. code-block:: cpp
+
+ m.def("foo", foo, py::call_guard<T>());
+
+is equivalent to the following pseudocode:
+
+.. code-block:: cpp
+
+ m.def("foo", [](args...) {
+ T scope_guard;
+ return foo(args...); // forwarded arguments
+ });
+
+The only requirement is that ``T`` is default-constructible, but otherwise any
+scope guard will work. This is very useful in combination with `gil_scoped_release`.
+See :ref:`gil`.
+
+Multiple guards can also be specified as ``py::call_guard<T1, T2, T3...>``. The
+constructor order is left to right and destruction happens in reverse.
+
.. seealso::
- The file :file:`tests/test_keep_alive.cpp` contains a complete example
- that demonstrates using :class:`keep_alive` in more detail.
+ The file :file:`tests/test_call_policies.cpp` contains a complete example
+ that demonstrates using `keep_alive` and `call_guard` in more detail.
.. _python_objects_as_args:
@@ -378,6 +418,55 @@ name, i.e. by specifying ``py::arg().noconvert()``.
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, d == 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``.
+
Overload resolution order
=========================
diff --git a/ext/pybind11/docs/advanced/misc.rst b/ext/pybind11/docs/advanced/misc.rst
index d98466512..87481ba32 100644
--- a/ext/pybind11/docs/advanced/misc.rst
+++ b/ext/pybind11/docs/advanced/misc.rst
@@ -15,6 +15,7 @@ T2>, myFunc)``. In this case, the preprocessor assumes that the comma indicates
the beginning of the next parameter. Use a ``typedef`` to bind the template to
another name and use it in the macro to avoid this problem.
+.. _gil:
Global Interpreter Lock (GIL)
=============================
@@ -27,7 +28,7 @@ multiple Python threads. Taking :ref:`overriding_virtuals` as an example, this
could be realized as follows (important changes highlighted):
.. code-block:: cpp
- :emphasize-lines: 8,9,33,34
+ :emphasize-lines: 8,9,31,32
class PyAnimal : public Animal {
public:
@@ -48,9 +49,7 @@ could be realized as follows (important changes highlighted):
}
};
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
py::class_<Animal, PyAnimal> animal(m, "Animal");
animal
.def(py::init<>())
@@ -64,10 +63,15 @@ could be realized as follows (important changes highlighted):
py::gil_scoped_release release;
return call_go(animal);
});
-
- return m.ptr();
}
+The ``call_go`` wrapper can also be simplified using the `call_guard` policy
+(see :ref:`call_policies`) which yields the same result:
+
+.. code-block:: cpp
+
+ m.def("call_go", &call_go, py::call_guard<py::gil_scoped_release>());
+
Binding sequence data types, iterators, the slicing protocol, etc.
==================================================================
@@ -131,22 +135,16 @@ has been executed:
Naturally, both methods will fail when there are cyclic dependencies.
-Note that compiling code which has its default symbol visibility set to
-*hidden* (e.g. via the command line flag ``-fvisibility=hidden`` on GCC/Clang) can interfere with the
-ability to access types defined in another extension module. Workarounds
-include changing the global symbol visibility (not recommended, because it will
-lead unnecessarily large binaries) or manually exporting types that are
-accessed by multiple extension modules:
+Note that pybind11 code compiled with hidden-by-default symbol visibility (e.g.
+via the command line flag ``-fvisibility=hidden`` on GCC/Clang), which is
+required proper pybind11 functionality, can interfere with the ability to
+access types defined in another extension module. Working around this requires
+manually exporting types that are accessed by multiple extension modules;
+pybind11 provides a macro to do just this:
.. code-block:: cpp
- #ifdef _WIN32
- # define EXPORT_TYPE __declspec(dllexport)
- #else
- # define EXPORT_TYPE __attribute__ ((visibility("default")))
- #endif
-
- class EXPORT_TYPE Dog : public Animal {
+ class PYBIND11_EXPORT Dog : public Animal {
...
};
@@ -175,7 +173,8 @@ Module Destructors
pybind11 does not provide an explicit mechanism to invoke cleanup code at
module destruction time. In rare cases where such functionality is required, it
-is possible to emulate it using Python capsules with a destruction callback.
+is possible to emulate it using Python capsules or weak references with a
+destruction callback.
.. code-block:: cpp
@@ -185,6 +184,39 @@ is possible to emulate it using Python capsules with a destruction callback.
m.add_object("_cleanup", py::capsule(cleanup_callback));
+This approach has the potential downside that instances of classes exposed
+within the module may still be alive when the cleanup callback is invoked
+(whether this is acceptable will generally depend on the application).
+
+Alternatively, the capsule may also be stashed within a type object, which
+ensures that it not called before all instances of that type have been
+collected:
+
+.. code-block:: cpp
+
+ auto cleanup_callback = []() { /* ... */ };
+ m.attr("BaseClass").attr("_cleanup") = py::capsule(cleanup_callback);
+
+Both approaches also expose a potentially dangerous ``_cleanup`` attribute in
+Python, which may be undesirable from an API standpoint (a premature explicit
+call from Python might lead to undefined behavior). Yet another approach that
+avoids this issue involves weak reference with a cleanup callback:
+
+.. code-block:: cpp
+
+ // Register a callback function that is invoked when the BaseClass object is colelcted
+ py::cpp_function cleanup_callback(
+ [](py::handle weakref) {
+ // perform cleanup here -- this function is called with the GIL held
+
+ weakref.dec_ref(); // release weak reference
+ }
+ );
+
+ // Create a weak reference with a cleanup callback and initially leak it
+ (void) py::weakref(m.attr("BaseClass"), cleanup_callback).release();
+
+
Generating documentation using Sphinx
=====================================
@@ -225,15 +257,11 @@ The class ``options`` allows you to selectively suppress auto-generated signatur
.. code-block:: cpp
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
py::options options;
options.disable_function_signatures();
-
+
m.def("add", [](int a, int b) { return a + b; }, "A function which adds two numbers");
-
- return m.ptr();
}
Note that changes to the settings affect only function bindings created during the
diff --git a/ext/pybind11/docs/advanced/pycpp/numpy.rst b/ext/pybind11/docs/advanced/pycpp/numpy.rst
index 6bcc46719..98b0c25b9 100644
--- a/ext/pybind11/docs/advanced/pycpp/numpy.rst
+++ b/ext/pybind11/docs/advanced/pycpp/numpy.rst
@@ -57,11 +57,11 @@ specification.
struct buffer_info {
void *ptr;
- size_t itemsize;
+ ssize_t itemsize;
std::string format;
- int ndim;
- std::vector<size_t> shape;
- std::vector<size_t> strides;
+ ssize_t ndim;
+ std::vector<ssize_t> shape;
+ std::vector<ssize_t> strides;
};
To create a C++ function that can take a Python buffer object as an argument,
@@ -95,11 +95,11 @@ buffer objects (e.g. a NumPy matrix).
throw std::runtime_error("Incompatible buffer dimension!");
auto strides = Strides(
- info.strides[rowMajor ? 0 : 1] / sizeof(Scalar),
- info.strides[rowMajor ? 1 : 0] / sizeof(Scalar));
+ info.strides[rowMajor ? 0 : 1] / (py::ssize_t)sizeof(Scalar),
+ info.strides[rowMajor ? 1 : 0] / (py::ssize_t)sizeof(Scalar));
auto map = Eigen::Map<Matrix, 0, Strides>(
- static_cat<Scalar *>(info.ptr), info.shape[0], info.shape[1], strides);
+ static_cast<Scalar *>(info.ptr), info.shape[0], info.shape[1], strides);
new (&m) Matrix(map);
});
@@ -111,18 +111,14 @@ as follows:
.def_buffer([](Matrix &m) -> py::buffer_info {
return py::buffer_info(
- m.data(), /* Pointer to buffer */
- sizeof(Scalar), /* Size of one scalar */
- /* Python struct-style format descriptor */
- py::format_descriptor<Scalar>::format(),
- /* Number of dimensions */
- 2,
- /* Buffer dimensions */
- { (size_t) m.rows(),
- (size_t) m.cols() },
- /* Strides (in bytes) for each index */
+ m.data(), /* Pointer to buffer */
+ sizeof(Scalar), /* Size of one scalar */
+ py::format_descriptor<Scalar>::format(), /* Python struct-style format descriptor */
+ 2, /* Number of dimensions */
+ { m.rows(), m.cols() }, /* Buffer dimensions */
{ sizeof(Scalar) * (rowMajor ? m.cols() : 1),
sizeof(Scalar) * (rowMajor ? 1 : m.rows()) }
+ /* Strides (in bytes) for each index */
);
})
@@ -194,7 +190,7 @@ expects the type followed by field names:
};
// ...
- PYBIND11_PLUGIN(test) {
+ PYBIND11_MODULE(test, m) {
// ...
PYBIND11_NUMPY_DTYPE(A, x, y);
@@ -202,6 +198,13 @@ expects the type followed by field names:
/* now both A and B can be used as template arguments to py::array_t */
}
+The structure should consist of fundamental arithmetic types, ``std::complex``,
+previously registered substructures, and arrays of any of the above. Both C++
+arrays and ``std::array`` are supported. While there is a static assertion to
+prevent many types of unsupported structures, it is still the user's
+responsibility to use only "plain" structures that can be safely manipulated as
+raw memory without violating invariants.
+
Vectorizing functions
=====================
@@ -236,27 +239,13 @@ by the compiler. The result is returned as a NumPy array of type
The scalar argument ``z`` is transparently replicated 4 times. The input
arrays ``x`` and ``y`` are automatically converted into the right types (they
are of type ``numpy.dtype.int64`` but need to be ``numpy.dtype.int32`` and
-``numpy.dtype.float32``, respectively)
-
-Sometimes we might want to explicitly exclude an argument from the vectorization
-because it makes little sense to wrap it in a NumPy array. For instance,
-suppose the function signature was
-
-.. code-block:: cpp
+``numpy.dtype.float32``, respectively).
- double my_func(int x, float y, my_custom_type *z);
+.. note::
-This can be done with a stateful Lambda closure:
-
-.. code-block:: cpp
-
- // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
- m.def("vectorized_func",
- [](py::array_t<int> x, py::array_t<float> y, my_custom_type *z) {
- auto stateful_closure = [z](int x, float y) { return my_func(x, y, z); };
- return py::vectorize(stateful_closure)(x, y);
- }
- );
+ Only arithmetic, complex, and POD types passed by value or by ``const &``
+ reference are vectorized; all other arguments are passed through as-is.
+ Functions taking rvalue reference arguments cannot be vectorized.
In cases where the computation is too complicated to be reduced to
``vectorize``, it will be necessary to create and access the buffer contents
@@ -295,10 +284,8 @@ simply using ``vectorize``).
return result;
}
- PYBIND11_PLUGIN(test) {
- py::module m("test");
+ PYBIND11_MODULE(test, m) {
m.def("add_arrays", &add_arrays, "Add two NumPy arrays");
- return m.ptr();
}
.. seealso::
@@ -322,17 +309,17 @@ where ``N`` gives the required dimensionality of the array:
m.def("sum_3d", [](py::array_t<double> x) {
auto r = x.unchecked<3>(); // x must have ndim = 3; can be non-writeable
double sum = 0;
- for (size_t i = 0; i < r.shape(0); i++)
- for (size_t j = 0; j < r.shape(1); j++)
- for (size_t k = 0; k < r.shape(2); k++)
+ for (ssize_t i = 0; i < r.shape(0); i++)
+ for (ssize_t j = 0; j < r.shape(1); j++)
+ for (ssize_t k = 0; k < r.shape(2); k++)
sum += r(i, j, k);
return sum;
});
m.def("increment_3d", [](py::array_t<double> x) {
auto r = x.mutable_unchecked<3>(); // Will throw if ndim != 3 or flags.writeable is false
- for (size_t i = 0; i < r.shape(0); i++)
- for (size_t j = 0; j < r.shape(1); j++)
- for (size_t k = 0; k < r.shape(2); k++)
+ for (ssize_t i = 0; i < r.shape(0); i++)
+ for (ssize_t j = 0; j < r.shape(1); j++)
+ for (ssize_t k = 0; k < r.shape(2); k++)
r(i, j, k) += 1.0;
}, py::arg().noconvert());
diff --git a/ext/pybind11/docs/advanced/pycpp/object.rst b/ext/pybind11/docs/advanced/pycpp/object.rst
index ae58876de..117131edc 100644
--- a/ext/pybind11/docs/advanced/pycpp/object.rst
+++ b/ext/pybind11/docs/advanced/pycpp/object.rst
@@ -33,12 +33,50 @@ The reverse direction uses the following syntax:
When conversion fails, both directions throw the exception :class:`cast_error`.
+.. _python_libs:
+
+Accessing Python libraries from C++
+===================================
+
+It is also possible to import objects defined in the Python standard
+library or available in the current Python environment (``sys.path``) and work
+with these in C++.
+
+This example obtains a reference to the Python ``Decimal`` class.
+
+.. code-block:: cpp
+
+ // Equivalent to "from decimal import Decimal"
+ py::object Decimal = py::module::import("decimal").attr("Decimal");
+
+.. code-block:: cpp
+
+ // Try to import scipy
+ py::object scipy = py::module::import("scipy");
+ return scipy.attr("__version__");
+
.. _calling_python_functions:
Calling Python functions
========================
-It is also possible to call python functions via ``operator()``.
+It is also possible to call Python classes, functions and methods
+via ``operator()``.
+
+.. code-block:: cpp
+
+ // Construct a Python object of class Decimal
+ py::object pi = Decimal("3.14159");
+
+.. code-block:: cpp
+
+ // Use Python to make our directories
+ py::object os = py::module::import("os");
+ py::object makedirs = os.attr("makedirs");
+ makedirs("/tmp/path/to/somewhere");
+
+One can convert the result obtained from Python to a pure C++ version
+if a ``py::class_`` or type conversion is defined.
.. code-block:: cpp
@@ -46,6 +84,37 @@ It is also possible to call python functions via ``operator()``.
py::object result_py = f(1234, "hello", some_instance);
MyClass &result = result_py.cast<MyClass>();
+.. _calling_python_methods:
+
+Calling Python methods
+========================
+
+To call an object's method, one can again use ``.attr`` to obtain access to the
+Python method.
+
+.. code-block:: cpp
+
+ // Calculate e^π in decimal
+ py::object exp_pi = pi.attr("exp")();
+ py::print(py::str(exp_pi));
+
+In the example above ``pi.attr("exp")`` is a *bound method*: it will always call
+the method for that same instance of the class. Alternately one can create an
+*unbound method* via the Python class (instead of instance) and pass the ``self``
+object explicitly, followed by other arguments.
+
+.. code-block:: cpp
+
+ py::object decimal_exp = Decimal.attr("exp");
+
+ // Compute the e^n for n=0..4
+ for (int n = 0; n < 5; n++) {
+ py::print(decimal_exp(Decimal(n));
+ }
+
+Keyword arguments
+=================
+
Keyword arguments are also supported. In Python, there is the usual call syntax:
.. code-block:: python
@@ -62,6 +131,9 @@ In C++, the same call can be made using:
using namespace pybind11::literals; // to bring in the `_a` literal
f(1234, "say"_a="hello", "to"_a=some_instance); // keyword call in C++
+Unpacking arguments
+===================
+
Unpacking of ``*args`` and ``**kwargs`` is also possible and can be mixed with
other arguments:
@@ -90,7 +162,7 @@ Generalized unpacking according to PEP448_ is also supported:
.. seealso::
- The file :file:`tests/test_python_types.cpp` contains a complete
+ The file :file:`tests/test_pytypes.cpp` contains a complete
example that demonstrates passing native Python types in more detail. The
file :file:`tests/test_callbacks.cpp` presents a few examples of calling
Python functions from C++, including keywords arguments and unpacking.
diff --git a/ext/pybind11/docs/advanced/pycpp/utilities.rst b/ext/pybind11/docs/advanced/pycpp/utilities.rst
index ba0dbef88..369e7c94d 100644
--- a/ext/pybind11/docs/advanced/pycpp/utilities.rst
+++ b/ext/pybind11/docs/advanced/pycpp/utilities.rst
@@ -21,19 +21,81 @@ expected in Python:
auto args = py::make_tuple("unpacked", true);
py::print("->", *args, "end"_a="<-"); // -> unpacked True <-
+.. _ostream_redirect:
+
+Capturing standard output from ostream
+======================================
+
+Often, a library will use the streams ``std::cout`` and ``std::cerr`` to print,
+but this does not play well with Python's standard ``sys.stdout`` and ``sys.stderr``
+redirection. Replacing a library's printing with `py::print <print>` may not
+be feasible. This can be fixed using a guard around the library function that
+redirects output to the corresponding Python streams:
+
+.. code-block:: cpp
+
+ #include <pybind11/iostream.h>
+
+ ...
+
+ // Add a scoped redirect for your noisy code
+ m.def("noisy_func", []() {
+ py::scoped_ostream_redirect stream(
+ std::cout, // std::ostream&
+ py::module::import("sys").attr("stdout") // Python output
+ );
+ call_noisy_func();
+ });
+
+This method respects flushes on the output streams and will flush if needed
+when the scoped guard is destroyed. This allows the output to be redirected in
+real time, such as to a Jupyter notebook. The two arguments, the C++ stream and
+the Python output, are optional, and default to standard output if not given. An
+extra type, `py::scoped_estream_redirect <scoped_estream_redirect>`, is identical
+except for defaulting to ``std::cerr`` and ``sys.stderr``; this can be useful with
+`py::call_guard`, which allows multiple items, but uses the default constructor:
+
+.. code-block:: py
+
+ // Alternative: Call single function using call guard
+ m.def("noisy_func", &call_noisy_function,
+ py::call_guard<py::scoped_ostream_redirect,
+ py::scoped_estream_redirect>());
+
+The redirection can also be done in Python with the addition of a context
+manager, using the `py::add_ostream_redirect() <add_ostream_redirect>` function:
+
+.. code-block:: cpp
+
+ py::add_ostream_redirect(m, "ostream_redirect");
+
+The name in Python defaults to ``ostream_redirect`` if no name is passed. This
+creates the following context manager in Python:
+
+.. code-block:: python
+
+ with ostream_redirect(stdout=True, stderr=True):
+ noisy_function()
+
+It defaults to redirecting both streams, though you can use the keyword
+arguments to disable one of the streams if needed.
+
+.. note::
+
+ The above methods will not redirect C-level output to file descriptors, such
+ as ``fprintf``. For those cases, you'll need to redirect the file
+ descriptors either directly in C or with Python's ``os.dup2`` function
+ in an operating-system dependent way.
+
+.. _eval:
+
Evaluating Python expressions from strings and files
====================================================
-pybind11 provides the :func:`eval` and :func:`eval_file` functions to evaluate
+pybind11 provides the `eval`, `exec` and `eval_file` functions to evaluate
Python expressions and statements. The following example illustrates how they
can be used.
-Both functions accept a template parameter that describes how the argument
-should be interpreted. Possible choices include ``eval_expr`` (isolated
-expression), ``eval_single_statement`` (a single statement, return value is
-always ``none``), and ``eval_statements`` (sequence of statements, return value
-is always ``none``).
-
.. code-block:: cpp
// At beginning of file
@@ -48,10 +110,35 @@ is always ``none``).
int result = py::eval("my_variable + 10", scope).cast<int>();
// Evaluate a sequence of statements
- py::eval<py::eval_statements>(
+ py::exec(
"print('Hello')\n"
"print('world!');",
scope);
// Evaluate the statements in an separate Python file on disk
py::eval_file("script.py", scope);
+
+C++11 raw string literals are also supported and quite handy for this purpose.
+The only requirement is that the first statement must be on a new line following
+the raw string delimiter ``R"(``, ensuring all lines have common leading indent:
+
+.. code-block:: cpp
+
+ py::exec(R"(
+ x = get_answer()
+ if x == 42:
+ print('Hello World!')
+ else:
+ print('Bye!')
+ )", scope
+ );
+
+.. note::
+
+ `eval` and `eval_file` accept a template parameter that describes how the
+ string/file should be interpreted. Possible choices include ``eval_expr``
+ (isolated expression), ``eval_single_statement`` (a single statement, return
+ value is always ``none``), and ``eval_statements`` (sequence of statements,
+ return value is always ``none``). `eval` defaults to ``eval_expr``,
+ `eval_file` defaults to ``eval_statements`` and `exec` is just a shortcut
+ for ``eval<eval_statements>``.
diff --git a/ext/pybind11/docs/advanced/smart_ptrs.rst b/ext/pybind11/docs/advanced/smart_ptrs.rst
index e4a238603..da57748ca 100644
--- a/ext/pybind11/docs/advanced/smart_ptrs.rst
+++ b/ext/pybind11/docs/advanced/smart_ptrs.rst
@@ -63,16 +63,12 @@ code?
std::shared_ptr<Child> child;
};
- PYBIND11_PLUGIN(example) {
- py::module m("example");
-
+ PYBIND11_MODULE(example, m) {
py::class_<Child, std::shared_ptr<Child>>(m, "Child");
py::class_<Parent, std::shared_ptr<Parent>>(m, "Parent")
.def(py::init<>())
.def("get_child", &Parent::get_child);
-
- return m.ptr();
}
The following Python code will cause undefined behavior (and likely a
diff --git a/ext/pybind11/docs/basics.rst b/ext/pybind11/docs/basics.rst
index 33c60049d..447250ed9 100644
--- a/ext/pybind11/docs/basics.rst
+++ b/ext/pybind11/docs/basics.rst
@@ -73,6 +73,8 @@ For brevity, all code examples assume that the following two lines are present:
Some features may require additional headers, but those will be specified as needed.
+.. _simple_example:
+
Creating bindings for a simple function
=======================================
@@ -96,25 +98,21 @@ a file named :file:`example.cpp` with the following contents:
return i + j;
}
- namespace py = pybind11;
-
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
+ PYBIND11_MODULE(example, m) {
+ m.doc() = "pybind11 example plugin"; // optional module docstring
m.def("add", &add, "A function which adds two numbers");
-
- return m.ptr();
}
.. [#f1] In practice, implementation and binding code will generally be located
in separate files.
-The :func:`PYBIND11_PLUGIN` macro creates a function that will be called when an
-``import`` statement is issued from within Python. The next line creates a
-module named ``example`` (with the supplied docstring). The method
-:func:`module::def` generates binding code that exposes the
-``add()`` function to Python. The last line returns the internal Python object
-associated with ``m`` to the Python interpreter.
+The :func:`PYBIND11_MODULE` macro creates a function that will be called when an
+``import`` statement is issued from within Python. The module name (``example``)
+is given as the first macro argument (it should not be in quotes). The second
+argument (``m``) defines a variable of type :class:`py::module <module>` which
+is the main interface for creating bindings. The method :func:`module::def`
+generates binding code that exposes the ``add()`` function to Python.
.. note::
@@ -124,23 +122,31 @@ associated with ``m`` to the Python interpreter.
approach and the used syntax are borrowed from Boost.Python, though the
underlying implementation is very different.
-pybind11 is a header-only-library, hence it is not necessary to link against
-any special libraries (other than Python itself). On Windows, use the CMake
-build file discussed in section :ref:`cmake`. On Linux and Mac OS, the above
-example can be compiled using the following command
+pybind11 is a header-only library, hence it is not necessary to link against
+any special libraries and there are no intermediate (magic) translation steps.
+On Linux, the above example can be compiled using the following command:
.. code-block:: bash
- $ c++ -O3 -shared -std=c++11 -I <path-to-pybind11>/include `python-config --cflags --ldflags` example.cpp -o example.so
+ $ c++ -O3 -Wall -shared -std=c++11 -fPIC `python3 -m pybind11 --includes` example.cpp -o example`python3-config --extension-suffix`
+
+For more details on the required compiler flags on Linux and MacOS, see
+:ref:`building_manually`. For complete cross-platform compilation instructions,
+refer to the :ref:`compiling` page.
+
+The `python_example`_ and `cmake_example`_ repositories are also a good place
+to start. They are both complete project examples with cross-platform build
+systems. The only difference between the two is that `python_example`_ uses
+Python's ``setuptools`` to build the module, while `cmake_example`_ uses CMake
+(which may be preferable for existing C++ projects).
-In general, it is advisable to include several additional build parameters
-that can considerably reduce the size of the created binary. Refer to section
-:ref:`cmake` for a detailed example of a suitable cross-platform CMake-based
-build system.
+.. _python_example: https://github.com/pybind/python_example
+.. _cmake_example: https://github.com/pybind/cmake_example
-Assuming that the created file :file:`example.so` (:file:`example.pyd` on Windows)
-is located in the current directory, the following interactive Python session
-shows how to load and execute the example.
+Building the above C++ code will produce a binary module file that can be
+imported to Python. Assuming that the compiled module is located in the
+current directory, the following interactive Python session shows how to
+load and execute the example:
.. code-block:: pycon
@@ -261,12 +267,10 @@ converted using the function ``py::cast``.
.. code-block:: cpp
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
+ PYBIND11_MODULE(example, m) {
m.attr("the_answer") = 42;
py::object world = py::cast("World");
m.attr("what") = world;
- return m.ptr();
}
These are then accessible from Python:
diff --git a/ext/pybind11/docs/benchmark.py b/ext/pybind11/docs/benchmark.py
index 6f02e92ff..6dc0604ea 100644
--- a/ext/pybind11/docs/benchmark.py
+++ b/ext/pybind11/docs/benchmark.py
@@ -33,10 +33,8 @@ def generate_dummy_code_pybind11(nclasses=10):
result = "#include <pybind11/pybind11.h>\n\n"
result += "namespace py = pybind11;\n\n"
result += decl + '\n'
- result += "PYBIND11_PLUGIN(example) {\n"
- result += " py::module m(\"example\");"
+ result += "PYBIND11_MODULE(example, m) {\n"
result += bindings
- result += " return m.ptr();"
result += "}"
return result
diff --git a/ext/pybind11/docs/benchmark.rst b/ext/pybind11/docs/benchmark.rst
index 8babaa319..59d533df9 100644
--- a/ext/pybind11/docs/benchmark.rst
+++ b/ext/pybind11/docs/benchmark.rst
@@ -31,8 +31,7 @@ Here is an example of the binding code for one class:
};
...
- PYBIND11_PLUGIN(example) {
- py::module m("example");
+ PYBIND11_MODULE(example, m) {
...
py::class_<cl034>(m, "cl034")
.def("fn_000", &cl034::fn_000)
@@ -40,7 +39,6 @@ Here is an example of the binding code for one class:
.def("fn_002", &cl034::fn_002)
.def("fn_003", &cl034::fn_003)
...
- return m.ptr();
}
The Boost.Python version looks almost identical except that a return value
diff --git a/ext/pybind11/docs/changelog.rst b/ext/pybind11/docs/changelog.rst
index aba8a2009..1ca501d15 100644
--- a/ext/pybind11/docs/changelog.rst
+++ b/ext/pybind11/docs/changelog.rst
@@ -6,6 +6,365 @@ Changelog
Starting with version 1.8.0, pybind11 releases use a `semantic versioning
<http://semver.org>`_ policy.
+v2.3.0 (Not yet released)
+-----------------------------------------------------
+
+* TBD
+
+v2.2.1 (September 14, 2017)
+-----------------------------------------------------
+
+* Added ``py::module::reload()`` member function for reloading a module.
+ `#1040 <https://github.com/pybind/pybind11/pull/1040>`_.
+
+* Fixed a reference leak in the number converter.
+ `#1078 <https://github.com/pybind/pybind11/pull/1078>`_.
+
+* Fixed compilation with Clang on host GCC < 5 (old libstdc++ which isn't fully
+ C++11 compliant). `#1062 <https://github.com/pybind/pybind11/pull/1062>`_.
+
+* Fixed a regression where the automatic ``std::vector<bool>`` caster would
+ fail to compile. The same fix also applies to any container which returns
+ element proxies instead of references.
+ `#1053 <https://github.com/pybind/pybind11/pull/1053>`_.
+
+* Fixed a regression where the ``py::keep_alive`` policy could not be applied
+ to constructors. `#1065 <https://github.com/pybind/pybind11/pull/1065>`_.
+
+* Fixed a nullptr dereference when loading a ``py::module_local`` type
+ that's only registered in an external module.
+ `#1058 <https://github.com/pybind/pybind11/pull/1058>`_.
+
+* Fixed implicit conversion of accessors to types derived from ``py::object``.
+ `#1076 <https://github.com/pybind/pybind11/pull/1076>`_.
+
+* The ``name`` in ``PYBIND11_MODULE(name, variable)`` can now be a macro.
+ `#1082 <https://github.com/pybind/pybind11/pull/1082>`_.
+
+* Relaxed overly strict ``py::pickle()`` check for matching get and set types.
+ `#1064 <https://github.com/pybind/pybind11/pull/1064>`_.
+
+* Conversion errors now try to be more informative when it's likely that
+ a missing header is the cause (e.g. forgetting ``<pybind11/stl.h>``).
+ `#1077 <https://github.com/pybind/pybind11/pull/1077>`_.
+
+v2.2.0 (August 31, 2017)
+-----------------------------------------------------
+
+* Support for embedding the Python interpreter. See the
+ :doc:`documentation page </advanced/embedding>` for a
+ full overview of the new features.
+ `#774 <https://github.com/pybind/pybind11/pull/774>`_,
+ `#889 <https://github.com/pybind/pybind11/pull/889>`_,
+ `#892 <https://github.com/pybind/pybind11/pull/892>`_,
+ `#920 <https://github.com/pybind/pybind11/pull/920>`_.
+
+ .. code-block:: cpp
+
+ #include <pybind11/embed.h>
+ namespace py = pybind11;
+
+ int main() {
+ py::scoped_interpreter guard{}; // start the interpreter and keep it alive
+
+ py::print("Hello, World!"); // use the Python API
+ }
+
+* Support for inheriting from multiple C++ bases in Python.
+ `#693 <https://github.com/pybind/pybind11/pull/693>`_.
+
+ .. code-block:: python
+
+ from cpp_module import CppBase1, CppBase2
+
+ class PyDerived(CppBase1, CppBase2):
+ def __init__(self):
+ CppBase1.__init__(self) # C++ bases must be initialized explicitly
+ CppBase2.__init__(self)
+
+* ``PYBIND11_MODULE`` is now the preferred way to create module entry points.
+ ``PYBIND11_PLUGIN`` is deprecated. See :ref:`macros` for details.
+ `#879 <https://github.com/pybind/pybind11/pull/879>`_.
+
+ .. code-block:: cpp
+
+ // new
+ PYBIND11_MODULE(example, m) {
+ m.def("add", [](int a, int b) { return a + b; });
+ }
+
+ // old
+ PYBIND11_PLUGIN(example) {
+ py::module m("example");
+ m.def("add", [](int a, int b) { return a + b; });
+ return m.ptr();
+ }
+
+* pybind11's headers and build system now more strictly enforce hidden symbol
+ visibility for extension modules. This should be seamless for most users,
+ but see the :doc:`upgrade` if you use a custom build system.
+ `#995 <https://github.com/pybind/pybind11/pull/995>`_.
+
+* Support for ``py::module_local`` types which allow multiple modules to
+ export the same C++ types without conflicts. This is useful for opaque
+ types like ``std::vector<int>``. ``py::bind_vector`` and ``py::bind_map``
+ now default to ``py::module_local`` if their elements are builtins or
+ local types. See :ref:`module_local` for details.
+ `#949 <https://github.com/pybind/pybind11/pull/949>`_,
+ `#981 <https://github.com/pybind/pybind11/pull/981>`_,
+ `#995 <https://github.com/pybind/pybind11/pull/995>`_,
+ `#997 <https://github.com/pybind/pybind11/pull/997>`_.
+
+* Custom constructors can now be added very easily using lambdas or factory
+ functions which return a class instance by value, pointer or holder. This
+ supersedes the old placement-new ``__init__`` technique.
+ See :ref:`custom_constructors` for details.
+ `#805 <https://github.com/pybind/pybind11/pull/805>`_,
+ `#1014 <https://github.com/pybind/pybind11/pull/1014>`_.
+
+ .. code-block:: cpp
+
+ struct Example {
+ Example(std::string);
+ };
+
+ py::class_<Example>(m, "Example")
+ .def(py::init<std::string>()) // existing constructor
+ .def(py::init([](int n) { // custom constructor
+ return std::make_unique<Example>(std::to_string(n));
+ }));
+
+* Similarly to custom constructors, pickling support functions are now bound
+ using the ``py::pickle()`` adaptor which improves type safety. See the
+ :doc:`upgrade` and :ref:`pickling` for details.
+ `#1038 <https://github.com/pybind/pybind11/pull/1038>`_.
+
+* Builtin support for converting C++17 standard library types and general
+ conversion improvements:
+
+ 1. C++17 ``std::variant`` is supported right out of the box. C++11/14
+ equivalents (e.g. ``boost::variant``) can also be added with a simple
+ user-defined specialization. See :ref:`cpp17_container_casters` for details.
+ `#811 <https://github.com/pybind/pybind11/pull/811>`_,
+ `#845 <https://github.com/pybind/pybind11/pull/845>`_,
+ `#989 <https://github.com/pybind/pybind11/pull/989>`_.
+
+ 2. Out-of-the-box support for C++17 ``std::string_view``.
+ `#906 <https://github.com/pybind/pybind11/pull/906>`_.
+
+ 3. Improved compatibility of the builtin ``optional`` converter.
+ `#874 <https://github.com/pybind/pybind11/pull/874>`_.
+
+ 4. The ``bool`` converter now accepts ``numpy.bool_`` and types which
+ define ``__bool__`` (Python 3.x) or ``__nonzero__`` (Python 2.7).
+ `#925 <https://github.com/pybind/pybind11/pull/925>`_.
+
+ 5. C++-to-Python casters are now more efficient and move elements out
+ of rvalue containers whenever possible.
+ `#851 <https://github.com/pybind/pybind11/pull/851>`_,
+ `#936 <https://github.com/pybind/pybind11/pull/936>`_,
+ `#938 <https://github.com/pybind/pybind11/pull/938>`_.
+
+ 6. Fixed ``bytes`` to ``std::string/char*`` conversion on Python 3.
+ `#817 <https://github.com/pybind/pybind11/pull/817>`_.
+
+ 7. Fixed lifetime of temporary C++ objects created in Python-to-C++ conversions.
+ `#924 <https://github.com/pybind/pybind11/pull/924>`_.
+
+* Scope guard call policy for RAII types, e.g. ``py::call_guard<py::gil_scoped_release>()``,
+ ``py::call_guard<py::scoped_ostream_redirect>()``. See :ref:`call_policies` for details.
+ `#740 <https://github.com/pybind/pybind11/pull/740>`_.
+
+* Utility for redirecting C++ streams to Python (e.g. ``std::cout`` ->
+ ``sys.stdout``). Scope guard ``py::scoped_ostream_redirect`` in C++ and
+ a context manager in Python. See :ref:`ostream_redirect`.
+ `#1009 <https://github.com/pybind/pybind11/pull/1009>`_.
+
+* Improved handling of types and exceptions across module boundaries.
+ `#915 <https://github.com/pybind/pybind11/pull/915>`_,
+ `#951 <https://github.com/pybind/pybind11/pull/951>`_,
+ `#995 <https://github.com/pybind/pybind11/pull/995>`_.
+
+* Fixed destruction order of ``py::keep_alive`` nurse/patient objects
+ in reference cycles.
+ `#856 <https://github.com/pybind/pybind11/pull/856>`_.
+
+* Numpy and buffer protocol related improvements:
+
+ 1. Support for negative strides in Python buffer objects/numpy arrays. This
+ required changing integers from unsigned to signed for the related C++ APIs.
+ Note: If you have compiler warnings enabled, you may notice some new conversion
+ warnings after upgrading. These can be resolved with ``static_cast``.
+ `#782 <https://github.com/pybind/pybind11/pull/782>`_.
+
+ 2. Support ``std::complex`` and arrays inside ``PYBIND11_NUMPY_DTYPE``.
+ `#831 <https://github.com/pybind/pybind11/pull/831>`_,
+ `#832 <https://github.com/pybind/pybind11/pull/832>`_.
+
+ 3. Support for constructing ``py::buffer_info`` and ``py::arrays`` using
+ arbitrary containers or iterators instead of requiring a ``std::vector``.
+ `#788 <https://github.com/pybind/pybind11/pull/788>`_,
+ `#822 <https://github.com/pybind/pybind11/pull/822>`_,
+ `#860 <https://github.com/pybind/pybind11/pull/860>`_.
+
+ 4. Explicitly check numpy version and require >= 1.7.0.
+ `#819 <https://github.com/pybind/pybind11/pull/819>`_.
+
+* Support for allowing/prohibiting ``None`` for specific arguments and improved
+ ``None`` overload resolution order. See :ref:`none_arguments` for details.
+ `#843 <https://github.com/pybind/pybind11/pull/843>`_.
+ `#859 <https://github.com/pybind/pybind11/pull/859>`_.
+
+* Added ``py::exec()`` as a shortcut for ``py::eval<py::eval_statements>()``
+ and support for C++11 raw string literals as input. See :ref:`eval`.
+ `#766 <https://github.com/pybind/pybind11/pull/766>`_,
+ `#827 <https://github.com/pybind/pybind11/pull/827>`_.
+
+* ``py::vectorize()`` ignores non-vectorizable arguments and supports
+ member functions.
+ `#762 <https://github.com/pybind/pybind11/pull/762>`_.
+
+* Support for bound methods as callbacks (``pybind11/functional.h``).
+ `#815 <https://github.com/pybind/pybind11/pull/815>`_.
+
+* Allow aliasing pybind11 methods: ``cls.attr("foo") = cls.attr("bar")``.
+ `#802 <https://github.com/pybind/pybind11/pull/802>`_.
+
+* Don't allow mixed static/non-static overloads.
+ `#804 <https://github.com/pybind/pybind11/pull/804>`_.
+
+* Fixed overriding static properties in derived classes.
+ `#784 <https://github.com/pybind/pybind11/pull/784>`_.
+
+* Improved deduction of member functions of a derived class when its bases
+ aren't registered with pybind11.
+ `#855 <https://github.com/pybind/pybind11/pull/855>`_.
+
+ .. code-block:: cpp
+
+ struct Base {
+ int foo() { return 42; }
+ }
+
+ struct Derived : Base {}
+
+ // Now works, but previously required also binding `Base`
+ py::class_<Derived>(m, "Derived")
+ .def("foo", &Derived::foo); // function is actually from `Base`
+
+* The implementation of ``py::init<>`` now uses C++11 brace initialization
+ syntax to construct instances, which permits binding implicit constructors of
+ aggregate types. `#1015 <https://github.com/pybind/pybind11/pull/1015>`_.
+
+ .. code-block:: cpp
+
+ struct Aggregate {
+ int a;
+ std::string b;
+ };
+
+ py::class_<Aggregate>(m, "Aggregate")
+ .def(py::init<int, const std::string &>());
+
+* Fixed issues with multiple inheritance with offset base/derived pointers.
+ `#812 <https://github.com/pybind/pybind11/pull/812>`_,
+ `#866 <https://github.com/pybind/pybind11/pull/866>`_,
+ `#960 <https://github.com/pybind/pybind11/pull/960>`_.
+
+* Fixed reference leak of type objects.
+ `#1030 <https://github.com/pybind/pybind11/pull/1030>`_.
+
+* Improved support for the ``/std:c++14`` and ``/std:c++latest`` modes
+ on MSVC 2017.
+ `#841 <https://github.com/pybind/pybind11/pull/841>`_,
+ `#999 <https://github.com/pybind/pybind11/pull/999>`_.
+
+* Fixed detection of private operator new on MSVC.
+ `#893 <https://github.com/pybind/pybind11/pull/893>`_,
+ `#918 <https://github.com/pybind/pybind11/pull/918>`_.
+
+* Intel C++ compiler compatibility fixes.
+ `#937 <https://github.com/pybind/pybind11/pull/937>`_.
+
+* Fixed implicit conversion of `py::enum_` to integer types on Python 2.7.
+ `#821 <https://github.com/pybind/pybind11/pull/821>`_.
+
+* Added ``py::hash`` to fetch the hash value of Python objects, and
+ ``.def(hash(py::self))`` to provide the C++ ``std::hash`` as the Python
+ ``__hash__`` method.
+ `#1034 <https://github.com/pybind/pybind11/pull/1034>`_.
+
+* Fixed ``__truediv__`` on Python 2 and ``__itruediv__`` on Python 3.
+ `#867 <https://github.com/pybind/pybind11/pull/867>`_.
+
+* ``py::capsule`` objects now support the ``name`` attribute. This is useful
+ for interfacing with ``scipy.LowLevelCallable``.
+ `#902 <https://github.com/pybind/pybind11/pull/902>`_.
+
+* Fixed ``py::make_iterator``'s ``__next__()`` for past-the-end calls.
+ `#897 <https://github.com/pybind/pybind11/pull/897>`_.
+
+* Added ``error_already_set::matches()`` for checking Python exceptions.
+ `#772 <https://github.com/pybind/pybind11/pull/772>`_.
+
+* Deprecated ``py::error_already_set::clear()``. It's no longer needed
+ following a simplification of the ``py::error_already_set`` class.
+ `#954 <https://github.com/pybind/pybind11/pull/954>`_.
+
+* Deprecated ``py::handle::operator==()`` in favor of ``py::handle::is()``
+ `#825 <https://github.com/pybind/pybind11/pull/825>`_.
+
+* Deprecated ``py::object::borrowed``/``py::object::stolen``.
+ Use ``py::object::borrowed_t{}``/``py::object::stolen_t{}`` instead.
+ `#771 <https://github.com/pybind/pybind11/pull/771>`_.
+
+* Changed internal data structure versioning to avoid conflicts between
+ modules compiled with different revisions of pybind11.
+ `#1012 <https://github.com/pybind/pybind11/pull/1012>`_.
+
+* Additional compile-time and run-time error checking and more informative messages.
+ `#786 <https://github.com/pybind/pybind11/pull/786>`_,
+ `#794 <https://github.com/pybind/pybind11/pull/794>`_,
+ `#803 <https://github.com/pybind/pybind11/pull/803>`_.
+
+* Various minor improvements and fixes.
+ `#764 <https://github.com/pybind/pybind11/pull/764>`_,
+ `#791 <https://github.com/pybind/pybind11/pull/791>`_,
+ `#795 <https://github.com/pybind/pybind11/pull/795>`_,
+ `#840 <https://github.com/pybind/pybind11/pull/840>`_,
+ `#844 <https://github.com/pybind/pybind11/pull/844>`_,
+ `#846 <https://github.com/pybind/pybind11/pull/846>`_,
+ `#849 <https://github.com/pybind/pybind11/pull/849>`_,
+ `#858 <https://github.com/pybind/pybind11/pull/858>`_,
+ `#862 <https://github.com/pybind/pybind11/pull/862>`_,
+ `#871 <https://github.com/pybind/pybind11/pull/871>`_,
+ `#872 <https://github.com/pybind/pybind11/pull/872>`_,
+ `#881 <https://github.com/pybind/pybind11/pull/881>`_,
+ `#888 <https://github.com/pybind/pybind11/pull/888>`_,
+ `#899 <https://github.com/pybind/pybind11/pull/899>`_,
+ `#928 <https://github.com/pybind/pybind11/pull/928>`_,
+ `#931 <https://github.com/pybind/pybind11/pull/931>`_,
+ `#944 <https://github.com/pybind/pybind11/pull/944>`_,
+ `#950 <https://github.com/pybind/pybind11/pull/950>`_,
+ `#952 <https://github.com/pybind/pybind11/pull/952>`_,
+ `#962 <https://github.com/pybind/pybind11/pull/962>`_,
+ `#965 <https://github.com/pybind/pybind11/pull/965>`_,
+ `#970 <https://github.com/pybind/pybind11/pull/970>`_,
+ `#978 <https://github.com/pybind/pybind11/pull/978>`_,
+ `#979 <https://github.com/pybind/pybind11/pull/979>`_,
+ `#986 <https://github.com/pybind/pybind11/pull/986>`_,
+ `#1020 <https://github.com/pybind/pybind11/pull/1020>`_,
+ `#1027 <https://github.com/pybind/pybind11/pull/1027>`_,
+ `#1037 <https://github.com/pybind/pybind11/pull/1037>`_.
+
+* Testing improvements.
+ `#798 <https://github.com/pybind/pybind11/pull/798>`_,
+ `#882 <https://github.com/pybind/pybind11/pull/882>`_,
+ `#898 <https://github.com/pybind/pybind11/pull/898>`_,
+ `#900 <https://github.com/pybind/pybind11/pull/900>`_,
+ `#921 <https://github.com/pybind/pybind11/pull/921>`_,
+ `#923 <https://github.com/pybind/pybind11/pull/923>`_,
+ `#963 <https://github.com/pybind/pybind11/pull/963>`_.
v2.1.1 (April 7, 2017)
-----------------------------------------------------
diff --git a/ext/pybind11/docs/classes.rst b/ext/pybind11/docs/classes.rst
index 30fb2a2d5..ca2477e83 100644
--- a/ext/pybind11/docs/classes.rst
+++ b/ext/pybind11/docs/classes.rst
@@ -27,15 +27,11 @@ The binding code for ``Pet`` looks as follows:
namespace py = pybind11;
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind11 example plugin");
-
+ PYBIND11_MODULE(example, m) {
py::class_<Pet>(m, "Pet")
.def(py::init<const std::string &>())
.def("setName", &Pet::setName)
.def("getName", &Pet::getName);
-
- return m.ptr();
}
:class:`class_` creates bindings for a C++ *class* or *struct*-style data
@@ -229,8 +225,8 @@ just brings them on par.
.. _inheritance:
-Inheritance
-===========
+Inheritance and automatic upcasting
+===================================
Suppose now that the example consists of two data structures with an
inheritance relationship:
@@ -287,6 +283,65 @@ expose fields and methods of both types:
>>> p.bark()
u'woof!'
+The C++ classes defined above are regular non-polymorphic types with an
+inheritance relationship. This is reflected in Python:
+
+.. code-block:: cpp
+
+ // Return a base pointer to a derived instance
+ m.def("pet_store", []() { return std::unique_ptr<Pet>(new Dog("Molly")); });
+
+.. code-block:: pycon
+
+ >>> p = example.pet_store()
+ >>> type(p) # `Dog` instance behind `Pet` pointer
+ Pet # no pointer upcasting for regular non-polymorphic types
+ >>> p.bark()
+ AttributeError: 'Pet' object has no attribute 'bark'
+
+The function returned a ``Dog`` instance, but because it's a non-polymorphic
+type behind a base pointer, Python only sees a ``Pet``. In C++, a type is only
+considered polymorphic if it has at least one virtual function and pybind11
+will automatically recognize this:
+
+.. code-block:: cpp
+
+ struct PolymorphicPet {
+ virtual ~PolymorphicPet() = default;
+ };
+
+ struct PolymorphicDog : PolymorphicPet {
+ std::string bark() const { return "woof!"; }
+ };
+
+ // Same binding code
+ py::class_<PolymorphicPet>(m, "PolymorphicPet");
+ py::class_<PolymorphicDog, PolymorphicPet>(m, "PolymorphicDog")
+ .def(py::init<>())
+ .def("bark", &PolymorphicDog::bark);
+
+ // Again, return a base pointer to a derived instance
+ m.def("pet_store2", []() { return std::unique_ptr<PolymorphicPet>(new PolymorphicDog); });
+
+.. code-block:: pycon
+
+ >>> p = example.pet_store2()
+ >>> type(p)
+ PolymorphicDog # automatically upcast
+ >>> p.bark()
+ u'woof!'
+
+Given a pointer to a polymorphic base, pybind11 performs automatic upcasting
+to the actual derived type. Note that this goes beyond the usual situation in
+C++: we don't just get access to the virtual functions of the base, we get the
+concrete derived type including functions and attributes that the base type may
+not even be aware of.
+
+.. seealso::
+
+ For more information about polymorphic behavior see :ref:`overriding_virtuals`.
+
+
Overloaded methods
==================
diff --git a/ext/pybind11/docs/compiling.rst b/ext/pybind11/docs/compiling.rst
index c7053dbf9..b5d6ce948 100644
--- a/ext/pybind11/docs/compiling.rst
+++ b/ext/pybind11/docs/compiling.rst
@@ -1,3 +1,5 @@
+.. _compiling:
+
Build systems
#############
@@ -14,10 +16,10 @@ the [python_example]_ repository.
Building with cppimport
========================
- cppimport is a small Python import hook that determines whether there is a C++
- source file whose name matches the requested module. If there is, the file is
- compiled as a Python extension using pybind11 and placed in the same folder as
- the C++ source file. Python is then able to find the module and load it.
+[cppimport]_ is a small Python import hook that determines whether there is a C++
+source file whose name matches the requested module. If there is, the file is
+compiled as a Python extension using pybind11 and placed in the same folder as
+the C++ source file. Python is then able to find the module and load it.
.. [cppimport] https://github.com/tbenthompson/cppimport
@@ -74,13 +76,15 @@ removes this target from the default build (see CMake docs for details).
Since pybind11 is a template library, ``pybind11_add_module`` adds compiler
flags to ensure high quality code generation without bloat arising from long
-symbol names and duplication of code in different translation units. The
-additional flags enable LTO (Link Time Optimization), set default visibility
-to *hidden* and strip unneeded symbols. See the :ref:`FAQ entry <faq:symhidden>`
-for a more detailed explanation. These optimizations are never applied in
-``Debug`` mode. If ``NO_EXTRAS`` is given, they will always be disabled, even
-in ``Release`` mode. However, this will result in code bloat and is generally
-not recommended.
+symbol names and duplication of code in different translation units. It
+sets default visibility to *hidden*, which is required for some pybind11
+features and functionality when attempting to load multiple pybind11 modules
+compiled under different pybind11 versions. It also adds additional flags
+enabling LTO (Link Time Optimization) and strip unneeded symbols. See the
+:ref:`FAQ entry <faq:symhidden>` for a more detailed explanation. These
+latter optimizations are never applied in ``Debug`` mode. If ``NO_EXTRAS`` is
+given, they will always be disabled, even in ``Release`` mode. However, this
+will result in code bloat and is generally not recommended.
As stated above, LTO is enabled by default. Some newer compilers also support
different flavors of LTO such as `ThinLTO`_. Setting ``THIN_LTO`` will cause
@@ -92,17 +96,28 @@ regular LTO if ``-flto=thin`` is not available.
Configuration variables
-----------------------
-By default, pybind11 will compile modules with the latest C++ standard
-available on the target compiler. To override this, the standard flag can
-be given explicitly in ``PYBIND11_CPP_STANDARD``:
+By default, pybind11 will compile modules with the C++14 standard, if available
+on the target compiler, falling back to C++11 if C++14 support is not
+available. Note, however, that this default is subject to change: future
+pybind11 releases are expected to migrate to newer C++ standards as they become
+available. To override this, the standard flag can be given explicitly in
+``PYBIND11_CPP_STANDARD``:
.. code-block:: cmake
+ # Use just one of these:
+ # GCC/clang:
set(PYBIND11_CPP_STANDARD -std=c++11)
+ set(PYBIND11_CPP_STANDARD -std=c++14)
+ set(PYBIND11_CPP_STANDARD -std=c++1z) # Experimental C++17 support
+ # MSVC:
+ set(PYBIND11_CPP_STANDARD /std:c++14)
+ set(PYBIND11_CPP_STANDARD /std:c++latest) # Enables some MSVC C++17 features
+
add_subdirectory(pybind11) # or find_package(pybind11)
Note that this and all other configuration variables must be set **before** the
-call to ``add_subdiretory`` or ``find_package``. The variables can also be set
+call to ``add_subdirectory`` or ``find_package``. The variables can also be set
when calling CMake from the command line using the ``-D<variable>=<value>`` flag.
The target Python version can be selected by setting ``PYBIND11_PYTHON_VERSION``
@@ -170,11 +185,84 @@ to an independently constructed (through ``add_library``, not
flags (i.e. this is up to you).
These include Link Time Optimization (``-flto`` on GCC/Clang/ICPC, ``/GL``
- and ``/LTCG`` on Visual Studio). Default-hidden symbols on GCC/Clang/ICPC
- (``-fvisibility=hidden``) and .OBJ files with many sections on Visual Studio
- (``/bigobj``). The :ref:`FAQ <faq:symhidden>` contains an
+ and ``/LTCG`` on Visual Studio) and .OBJ files with many sections on Visual
+ Studio (``/bigobj``). The :ref:`FAQ <faq:symhidden>` contains an
explanation on why these are needed.
+Embedding the Python interpreter
+--------------------------------
+
+In addition to extension modules, pybind11 also supports embedding Python into
+a C++ executable or library. In CMake, simply link with the ``pybind11::embed``
+target. It provides everything needed to get the interpreter running. The Python
+headers and libraries are attached to the target. Unlike ``pybind11::module``,
+there is no need to manually set any additional properties here. For more
+information about usage in C++, see :doc:`/advanced/embedding`.
+
+.. code-block:: cmake
+
+ cmake_minimum_required(VERSION 3.0)
+ project(example)
+
+ find_package(pybind11 REQUIRED) # or add_subdirectory(pybind11)
+
+ add_executable(example main.cpp)
+ target_link_libraries(example PRIVATE pybind11::embed)
+
+.. _building_manually:
+
+Building manually
+=================
+
+pybind11 is a header-only library, hence it is not necessary to link against
+any special libraries and there are no intermediate (magic) translation steps.
+
+On Linux, you can compile an example such as the one given in
+:ref:`simple_example` using the following command:
+
+.. code-block:: bash
+
+ $ c++ -O3 -Wall -shared -std=c++11 -fPIC `python3 -m pybind11 --includes` example.cpp -o example`python3-config --extension-suffix`
+
+The flags given here assume that you're using Python 3. For Python 2, just
+change the executable appropriately (to ``python`` or ``python2``).
+
+The ``python3 -m pybind11 --includes`` command fetches the include paths for
+both pybind11 and Python headers. This assumes that pybind11 has been installed
+using ``pip`` or ``conda``. If it hasn't, you can also manually specify
+``-I <path-to-pybind11>/include`` together with the Python includes path
+``python3-config --includes``.
+
+Note that Python 2.7 modules don't use a special suffix, so you should simply
+use ``example.so`` instead of ``example`python3-config --extension-suffix```.
+Besides, the ``--extension-suffix`` option may or may not be available, depending
+on the distribution; in the latter case, the module extension can be manually
+set to ``.so``.
+
+On Mac OS: the build command is almost the same but it also requires passing
+the ``-undefined dynamic_lookup`` flag so as to ignore missing symbols when
+building the module:
+
+.. code-block:: bash
+
+ $ c++ -O3 -Wall -shared -std=c++11 -undefined dynamic_lookup `python3 -m pybind11 --includes` example.cpp -o example`python3-config --extension-suffix`
+
+In general, it is advisable to include several additional build parameters
+that can considerably reduce the size of the created binary. Refer to section
+:ref:`cmake` for a detailed example of a suitable cross-platform CMake-based
+build system that works on all platforms including Windows.
+
+.. note::
+
+ On Linux and macOS, it's better to (intentionally) not link against
+ ``libpython``. The symbols will be resolved when the extension library
+ is loaded into a Python binary. This is preferable because you might
+ have several different installations of a given Python version (e.g. the
+ system-provided Python, and one that ships with a piece of commercial
+ software). In this way, the plugin will work with both versions, instead
+ of possibly importing a second Python library into a process that already
+ contains one (which will lead to a segfault).
+
Generating binding code automatically
=====================================
diff --git a/ext/pybind11/docs/conf.py b/ext/pybind11/docs/conf.py
index 09604cfeb..cd0e17eb7 100644
--- a/ext/pybind11/docs/conf.py
+++ b/ext/pybind11/docs/conf.py
@@ -53,7 +53,7 @@ master_doc = 'index'
# General information about the project.
project = 'pybind11'
-copyright = '2016, Wenzel Jakob'
+copyright = '2017, Wenzel Jakob'
author = 'Wenzel Jakob'
# The version info for the project you're documenting, acts as replacement for
@@ -61,9 +61,9 @@ author = 'Wenzel Jakob'
# built documents.
#
# The short X.Y version.
-version = '2.1'
+version = '2.2'
# The full version, including alpha/beta/rc tags.
-release = '2.1.1'
+release = '2.2.1'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
@@ -314,13 +314,13 @@ highlight_language = 'cpp'
def generate_doxygen_xml(app):
- build_dir = '.build'
+ build_dir = os.path.join(app.confdir, '.build')
if not os.path.exists(build_dir):
os.mkdir(build_dir)
try:
subprocess.call(['doxygen', '--version'])
- retcode = subprocess.call(['doxygen'])
+ retcode = subprocess.call(['doxygen'], cwd=app.confdir)
if retcode < 0:
sys.stderr.write("doxygen error code: {}\n".format(-retcode))
except OSError as e:
diff --git a/ext/pybind11/docs/faq.rst b/ext/pybind11/docs/faq.rst
index 34002b42d..8f33eb014 100644
--- a/ext/pybind11/docs/faq.rst
+++ b/ext/pybind11/docs/faq.rst
@@ -4,30 +4,24 @@ Frequently asked questions
"ImportError: dynamic module does not define init function"
===========================================================
-1. Make sure that the name specified in ``pybind::module`` and
- ``PYBIND11_PLUGIN`` is consistent and identical to the filename of the
- extension library. The latter should not contain any extra prefixes (e.g.
- ``test.so`` instead of ``libtest.so``).
-
-2. If the above did not fix your issue, then you are likely using an
- incompatible version of Python (for instance, the extension library was
- compiled against Python 2, while the interpreter is running on top of some
- version of Python 3, or vice versa)
+You are likely using an incompatible version of Python (for instance, the
+extension library was compiled against Python 2, while the interpreter is
+running on top of some version of Python 3, or vice versa).
"Symbol not found: ``__Py_ZeroStruct`` / ``_PyInstanceMethod_Type``"
========================================================================
-See item 2 of the first answer.
+See the first answer.
"SystemError: dynamic module not initialized properly"
======================================================
-See item 2 of the first answer.
+See the first answer.
The Python interpreter immediately crashes when importing my module
===================================================================
-See item 2 of the first answer.
+See the first answer.
CMake doesn't detect the right Python version
=============================================
@@ -104,14 +98,10 @@ following example:
void init_ex2(py::module &);
/* ... */
- PYBIND11_PLUGIN(example) {
- py::module m("example", "pybind example plugin");
-
+ PYBIND11_MODULE(example, m) {
init_ex1(m);
init_ex2(m);
/* ... */
-
- return m.ptr();
}
:file:`ex1.cpp`:
@@ -161,6 +151,33 @@ specifying a larger value, e.g. ``-ftemplate-depth=1024`` on GCC/Clang. The
culprit is generally the generation of function signatures at compile time
using C++14 template metaprogramming.
+.. _`faq:hidden_visibility`:
+
+"‘SomeClass’ declared with greater visibility than the type of its field ‘SomeClass::member’ [-Wattributes]"
+============================================================================================================
+
+This error typically indicates that you are compiling without the required
+``-fvisibility`` flag. pybind11 code internally forces hidden visibility on
+all internal code, but if non-hidden (and thus *exported*) code attempts to
+include a pybind type (for example, ``py::object`` or ``py::list``) you can run
+into this warning.
+
+To avoid it, make sure you are specifying ``-fvisibility=hidden`` when
+compiling pybind code.
+
+As to why ``-fvisibility=hidden`` is necessary, because pybind modules could
+have been compiled under different versions of pybind itself, it is also
+important that the symbols defined in one module do not clash with the
+potentially-incompatible symbols defined in another. While Python extension
+modules are usually loaded with localized symbols (under POSIX systems
+typically using ``dlopen`` with the ``RTLD_LOCAL`` flag), this Python default
+can be changed, but even if it isn't it is not always enough to guarantee
+complete independence of the symbols involved when not using
+``-fvisibility=hidden``.
+
+Additionally, ``-fvisiblity=hidden`` can deliver considerably binary size
+savings. (See the following section for more details).
+
.. _`faq:symhidden`:
@@ -202,11 +219,14 @@ world. So we'll generally only want to export symbols for those functions which
are actually called from the outside.
This can be achieved by specifying the parameter ``-fvisibility=hidden`` to GCC
-and Clang, which sets the default symbol visibility to *hidden*. It's best to
-do this only for release builds, since the symbol names can be helpful in
-debugging sessions. On Visual Studio, symbols are already hidden by default, so
-nothing needs to be done there. Needless to say, this has a tremendous impact
-on the final binary size of the resulting extension library.
+and Clang, which sets the default symbol visibility to *hidden*, which has a
+tremendous impact on the final binary size of the resulting extension library.
+(On Visual Studio, symbols are already hidden by default, so nothing needs to
+be done there.)
+
+In addition to decreasing binary size, ``-fvisibility=hidden`` also avoids
+potential serious issues when loading multiple modules and is required for
+proper pybind operation. See the previous FAQ entry for more details.
Another aspect that can require a fair bit of code are function signature
descriptions. pybind11 automatically generates human-readable function
diff --git a/ext/pybind11/docs/index.rst b/ext/pybind11/docs/index.rst
index cedf65209..d236611b7 100644
--- a/ext/pybind11/docs/index.rst
+++ b/ext/pybind11/docs/index.rst
@@ -14,6 +14,7 @@ pybind11 --- Seamless operability between C++11 and Python
intro
changelog
+ upgrade
.. toctree::
:caption: The Basics
@@ -33,6 +34,7 @@ pybind11 --- Seamless operability between C++11 and Python
advanced/smart_ptrs
advanced/cast/index
advanced/pycpp/index
+ advanced/embedding
advanced/misc
.. toctree::
diff --git a/ext/pybind11/docs/reference.rst b/ext/pybind11/docs/reference.rst
index 3d211f7e9..e41141bd9 100644
--- a/ext/pybind11/docs/reference.rst
+++ b/ext/pybind11/docs/reference.rst
@@ -9,10 +9,12 @@
Reference
#########
+.. _macros:
+
Macros
======
-.. doxygendefine:: PYBIND11_PLUGIN
+.. doxygendefine:: PYBIND11_MODULE
.. _core_types:
@@ -58,6 +60,26 @@ Passing extra arguments to ``def`` or ``class_``
.. doxygengroup:: annotations
:members:
+Embedding the interpreter
+=========================
+
+.. doxygendefine:: PYBIND11_EMBEDDED_MODULE
+
+.. doxygenfunction:: initialize_interpreter
+
+.. doxygenfunction:: finalize_interpreter
+
+.. doxygenclass:: scoped_interpreter
+
+Redirecting C++ streams
+=======================
+
+.. doxygenclass:: scoped_ostream_redirect
+
+.. doxygenclass:: scoped_estream_redirect
+
+.. doxygenfunction:: add_ostream_redirect
+
Python build-in functions
=========================
diff --git a/ext/pybind11/docs/release.rst b/ext/pybind11/docs/release.rst
index 30d159a6f..b31bbe97e 100644
--- a/ext/pybind11/docs/release.rst
+++ b/ext/pybind11/docs/release.rst
@@ -2,7 +2,7 @@ To release a new version of pybind11:
- Update the version number and push to pypi
- Update ``pybind11/_version.py`` (set release version, remove 'dev').
- - Update ``PYBIND11_VERSION_MAJOR`` etc. in ``include/pybind11/common.h``.
+ - Update ``PYBIND11_VERSION_MAJOR`` etc. in ``include/pybind11/detail/common.h``.
- Ensure that all the information in ``setup.py`` is up-to-date.
- Update version in ``docs/conf.py``.
- Tag release date in ``docs/changelog.rst``.
@@ -14,8 +14,9 @@ To release a new version of pybind11:
- ``python setup.py sdist upload``.
- ``python setup.py bdist_wheel upload``.
- Update conda-forge (https://github.com/conda-forge/pybind11-feedstock) via PR
- - change version number in ``recipe/meta.yml``
- - update checksum to match the one computed by pypi
+ - download release package from Github: ``wget https://github.com/pybind/pybind11/archive/vX.Y.Z.tar.gz``
+ - compute checksum: ``shasum -a 256 vX.Y.Z.tar.gz``
+ - change version number and checksum in ``recipe/meta.yml``
- Get back to work
- Update ``_version.py`` (add 'dev' and increment minor).
- Update version in ``docs/conf.py``
diff --git a/ext/pybind11/docs/upgrade.rst b/ext/pybind11/docs/upgrade.rst
new file mode 100644
index 000000000..3f5697391
--- /dev/null
+++ b/ext/pybind11/docs/upgrade.rst
@@ -0,0 +1,404 @@
+Upgrade guide
+#############
+
+This is a companion guide to the :doc:`changelog`. While the changelog briefly
+lists all of the new features, improvements and bug fixes, this upgrade guide
+focuses only the subset which directly impacts your experience when upgrading
+to a new version. But it goes into more detail. This includes things like
+deprecated APIs and their replacements, build system changes, general code
+modernization and other useful information.
+
+
+v2.2
+====
+
+Deprecation of the ``PYBIND11_PLUGIN`` macro
+--------------------------------------------
+
+``PYBIND11_MODULE`` is now the preferred way to create module entry points.
+The old macro emits a compile-time deprecation warning.
+
+.. code-block:: cpp
+
+ // old
+ PYBIND11_PLUGIN(example) {
+ py::module m("example", "documentation string");
+
+ m.def("add", [](int a, int b) { return a + b; });
+
+ return m.ptr();
+ }
+
+ // new
+ PYBIND11_MODULE(example, m) {
+ m.doc() = "documentation string"; // optional
+
+ m.def("add", [](int a, int b) { return a + b; });
+ }
+
+
+New API for defining custom constructors and pickling functions
+---------------------------------------------------------------
+
+The old placement-new custom constructors have been deprecated. The new approach
+uses ``py::init()`` and factory functions to greatly improve type safety.
+
+Placement-new can be called accidentally with an incompatible type (without any
+compiler errors or warnings), or it can initialize the same object multiple times
+if not careful with the Python-side ``__init__`` calls. The new-style custom
+constructors prevent such mistakes. See :ref:`custom_constructors` for details.
+
+.. code-block:: cpp
+
+ // old -- deprecated (runtime warning shown only in debug mode)
+ py::class<Foo>(m, "Foo")
+ .def("__init__", [](Foo &self, ...) {
+ new (&self) Foo(...); // uses placement-new
+ });
+
+ // new
+ py::class<Foo>(m, "Foo")
+ .def(py::init([](...) { // Note: no `self` argument
+ return new Foo(...); // return by raw pointer
+ // or: return std::make_unique<Foo>(...); // return by holder
+ // or: return Foo(...); // return by value (move constructor)
+ }));
+
+Mirroring the custom constructor changes, ``py::pickle()`` is now the preferred
+way to get and set object state. See :ref:`pickling` for details.
+
+.. code-block:: cpp
+
+ // old -- deprecated (runtime warning shown only in debug mode)
+ py::class<Foo>(m, "Foo")
+ ...
+ .def("__getstate__", [](const Foo &self) {
+ return py::make_tuple(self.value1(), self.value2(), ...);
+ })
+ .def("__setstate__", [](Foo &self, py::tuple t) {
+ new (&self) Foo(t[0].cast<std::string>(), ...);
+ });
+
+ // new
+ py::class<Foo>(m, "Foo")
+ ...
+ .def(py::pickle(
+ [](const Foo &self) { // __getstate__
+ return py::make_tuple(f.value1(), f.value2(), ...); // unchanged
+ },
+ [](py::tuple t) { // __setstate__, note: no `self` argument
+ return new Foo(t[0].cast<std::string>(), ...);
+ // or: return std::make_unique<Foo>(...); // return by holder
+ // or: return Foo(...); // return by value (move constructor)
+ }
+ ));
+
+For both the constructors and pickling, warnings are shown at module
+initialization time (on import, not when the functions are called).
+They're only visible when compiled in debug mode. Sample warning:
+
+.. code-block:: none
+
+ pybind11-bound class 'mymodule.Foo' is using an old-style placement-new '__init__'
+ which has been deprecated. See the upgrade guide in pybind11's docs.
+
+
+Stricter enforcement of hidden symbol visibility for pybind11 modules
+---------------------------------------------------------------------
+
+pybind11 now tries to actively enforce hidden symbol visibility for modules.
+If you're using either one of pybind11's :doc:`CMake or Python build systems
+<compiling>` (the two example repositories) and you haven't been exporting any
+symbols, there's nothing to be concerned about. All the changes have been done
+transparently in the background. If you were building manually or relied on
+specific default visibility, read on.
+
+Setting default symbol visibility to *hidden* has always been recommended for
+pybind11 (see :ref:`faq:symhidden`). On Linux and macOS, hidden symbol
+visibility (in conjunction with the ``strip`` utility) yields much smaller
+module binaries. `CPython's extension docs`_ also recommend hiding symbols
+by default, with the goal of avoiding symbol name clashes between modules.
+Starting with v2.2, pybind11 enforces this more strictly: (1) by declaring
+all symbols inside the ``pybind11`` namespace as hidden and (2) by including
+the ``-fvisibility=hidden`` flag on Linux and macOS (only for extension
+modules, not for embedding the interpreter).
+
+.. _CPython's extension docs: https://docs.python.org/3/extending/extending.html#providing-a-c-api-for-an-extension-module
+
+The namespace-scope hidden visibility is done automatically in pybind11's
+headers and it's generally transparent to users. It ensures that:
+
+* Modules compiled with different pybind11 versions don't clash with each other.
+
+* Some new features, like ``py::module_local`` bindings, can work as intended.
+
+The ``-fvisibility=hidden`` flag applies the same visibility to user bindings
+outside of the ``pybind11`` namespace. It's now set automatic by pybind11's
+CMake and Python build systems, but this needs to be done manually by users
+of other build systems. Adding this flag:
+
+* Minimizes the chances of symbol conflicts between modules. E.g. if two
+ unrelated modules were statically linked to different (ABI-incompatible)
+ versions of the same third-party library, a symbol clash would be likely
+ (and would end with unpredictable results).
+
+* Produces smaller binaries on Linux and macOS, as pointed out previously.
+
+Within pybind11's CMake build system, ``pybind11_add_module`` has always been
+setting the ``-fvisibility=hidden`` flag in release mode. From now on, it's
+being applied unconditionally, even in debug mode and it can no longer be opted
+out of with the ``NO_EXTRAS`` option. The ``pybind11::module`` target now also
+adds this flag to it's interface. The ``pybind11::embed`` target is unchanged.
+
+The most significant change here is for the ``pybind11::module`` target. If you
+were previously relying on default visibility, i.e. if your Python module was
+doubling as a shared library with dependents, you'll need to either export
+symbols manually (recommended for cross-platform libraries) or factor out the
+shared library (and have the Python module link to it like the other
+dependents). As a temporary workaround, you can also restore default visibility
+using the CMake code below, but this is not recommended in the long run:
+
+.. code-block:: cmake
+
+ target_link_libraries(mymodule PRIVATE pybind11::module)
+
+ add_library(restore_default_visibility INTERFACE)
+ target_compile_options(restore_default_visibility INTERFACE -fvisibility=default)
+ target_link_libraries(mymodule PRIVATE restore_default_visibility)
+
+
+Local STL container bindings
+----------------------------
+
+Previous pybind11 versions could only bind types globally -- all pybind11
+modules, even unrelated ones, would have access to the same exported types.
+However, this would also result in a conflict if two modules exported the
+same C++ type, which is especially problematic for very common types, e.g.
+``std::vector<int>``. :ref:`module_local` were added to resolve this (see
+that section for a complete usage guide).
+
+``py::class_`` still defaults to global bindings (because these types are
+usually unique across modules), however in order to avoid clashes of opaque
+types, ``py::bind_vector`` and ``py::bind_map`` will now bind STL containers
+as ``py::module_local`` if their elements are: builtins (``int``, ``float``,
+etc.), not bound using ``py::class_``, or bound as ``py::module_local``. For
+example, this change allows multiple modules to bind ``std::vector<int>``
+without causing conflicts. See :ref:`stl_bind` for more details.
+
+When upgrading to this version, if you have multiple modules which depend on
+a single global binding of an STL container, note that all modules can still
+accept foreign ``py::module_local`` types in the direction of Python-to-C++.
+The locality only affects the C++-to-Python direction. If this is needed in
+multiple modules, you'll need to either:
+
+* Add a copy of the same STL binding to all of the modules which need it.
+
+* Restore the global status of that single binding by marking it
+ ``py::module_local(false)``.
+
+The latter is an easy workaround, but in the long run it would be best to
+localize all common type bindings in order to avoid conflicts with
+third-party modules.
+
+
+Negative strides for Python buffer objects and numpy arrays
+-----------------------------------------------------------
+
+Support for negative strides required changing the integer type from unsigned
+to signed in the interfaces of ``py::buffer_info`` and ``py::array``. If you
+have compiler warnings enabled, you may notice some new conversion warnings
+after upgrading. These can be resolved using ``static_cast``.
+
+
+Deprecation of some ``py::object`` APIs
+---------------------------------------
+
+To compare ``py::object`` instances by pointer, you should now use
+``obj1.is(obj2)`` which is equivalent to ``obj1 is obj2`` in Python.
+Previously, pybind11 used ``operator==`` for this (``obj1 == obj2``), but
+that could be confusing and is now deprecated (so that it can eventually
+be replaced with proper rich object comparison in a future release).
+
+For classes which inherit from ``py::object``, ``borrowed`` and ``stolen``
+were previously available as protected constructor tags. Now the types
+should be used directly instead: ``borrowed_t{}`` and ``stolen_t{}``
+(`#771 <https://github.com/pybind/pybind11/pull/771>`_).
+
+
+Stricter compile-time error checking
+------------------------------------
+
+Some error checks have been moved from run time to compile time. Notably,
+automatic conversion of ``std::shared_ptr<T>`` is not possible when ``T`` is
+not directly registered with ``py::class_<T>`` (e.g. ``std::shared_ptr<int>``
+or ``std::shared_ptr<std::vector<T>>`` are not automatically convertible).
+Attempting to bind a function with such arguments now results in a compile-time
+error instead of waiting to fail at run time.
+
+``py::init<...>()`` constructor definitions are also stricter and now prevent
+bindings which could cause unexpected behavior:
+
+.. code-block:: cpp
+
+ struct Example {
+ Example(int &);
+ };
+
+ py::class_<Example>(m, "Example")
+ .def(py::init<int &>()); // OK, exact match
+ // .def(py::init<int>()); // compile-time error, mismatch
+
+A non-``const`` lvalue reference is not allowed to bind to an rvalue. However,
+note that a constructor taking ``const T &`` can still be registered using
+``py::init<T>()`` because a ``const`` lvalue reference can bind to an rvalue.
+
+v2.1
+====
+
+Minimum compiler versions are enforced at compile time
+------------------------------------------------------
+
+The minimums also apply to v2.0 but the check is now explicit and a compile-time
+error is raised if the compiler does not meet the requirements:
+
+* GCC >= 4.8
+* clang >= 3.3 (appleclang >= 5.0)
+* MSVC >= 2015u3
+* Intel C++ >= 15.0
+
+
+The ``py::metaclass`` attribute is not required for static properties
+---------------------------------------------------------------------
+
+Binding classes with static properties is now possible by default. The
+zero-parameter version of ``py::metaclass()`` is deprecated. However, a new
+one-parameter ``py::metaclass(python_type)`` version was added for rare
+cases when a custom metaclass is needed to override pybind11's default.
+
+.. code-block:: cpp
+
+ // old -- emits a deprecation warning
+ py::class_<Foo>(m, "Foo", py::metaclass())
+ .def_property_readonly_static("foo", ...);
+
+ // new -- static properties work without the attribute
+ py::class_<Foo>(m, "Foo")
+ .def_property_readonly_static("foo", ...);
+
+ // new -- advanced feature, override pybind11's default metaclass
+ py::class_<Bar>(m, "Bar", py::metaclass(custom_python_type))
+ ...
+
+
+v2.0
+====
+
+Breaking changes in ``py::class_``
+----------------------------------
+
+These changes were necessary to make type definitions in pybind11
+future-proof, to support PyPy via its ``cpyext`` mechanism (`#527
+<https://github.com/pybind/pybind11/pull/527>`_), and to improve efficiency
+(`rev. 86d825 <https://github.com/pybind/pybind11/commit/86d825>`_).
+
+1. Declarations of types that provide access via the buffer protocol must
+ now include the ``py::buffer_protocol()`` annotation as an argument to
+ the ``py::class_`` constructor.
+
+ .. code-block:: cpp
+
+ py::class_<Matrix>("Matrix", py::buffer_protocol())
+ .def(py::init<...>())
+ .def_buffer(...);
+
+2. Classes which include static properties (e.g. ``def_readwrite_static()``)
+ must now include the ``py::metaclass()`` attribute. Note: this requirement
+ has since been removed in v2.1. If you're upgrading from 1.x, it's
+ recommended to skip directly to v2.1 or newer.
+
+3. This version of pybind11 uses a redesigned mechanism for instantiating
+ trampoline classes that are used to override virtual methods from within
+ Python. This led to the following user-visible syntax change:
+
+ .. code-block:: cpp
+
+ // old v1.x syntax
+ py::class_<TrampolineClass>("MyClass")
+ .alias<MyClass>()
+ ...
+
+ // new v2.x syntax
+ py::class_<MyClass, TrampolineClass>("MyClass")
+ ...
+
+ Importantly, both the original and the trampoline class are now specified
+ as arguments to the ``py::class_`` template, and the ``alias<..>()`` call
+ is gone. The new scheme has zero overhead in cases when Python doesn't
+ override any functions of the underlying C++ class.
+ `rev. 86d825 <https://github.com/pybind/pybind11/commit/86d825>`_.
+
+ The class type must be the first template argument given to ``py::class_``
+ while the trampoline can be mixed in arbitrary order with other arguments
+ (see the following section).
+
+
+Deprecation of the ``py::base<T>()`` attribute
+----------------------------------------------
+
+``py::base<T>()`` was deprecated in favor of specifying ``T`` as a template
+argument to ``py::class_``. This new syntax also supports multiple inheritance.
+Note that, while the type being exported must be the first argument in the
+``py::class_<Class, ...>`` template, the order of the following types (bases,
+holder and/or trampoline) is not important.
+
+.. code-block:: cpp
+
+ // old v1.x
+ py::class_<Derived>("Derived", py::base<Base>());
+
+ // new v2.x
+ py::class_<Derived, Base>("Derived");
+
+ // new -- multiple inheritance
+ py::class_<Derived, Base1, Base2>("Derived");
+
+ // new -- apart from `Derived` the argument order can be arbitrary
+ py::class_<Derived, Base1, Holder, Base2, Trampoline>("Derived");
+
+
+Out-of-the-box support for ``std::shared_ptr``
+----------------------------------------------
+
+The relevant type caster is now built in, so it's no longer necessary to
+include a declaration of the form:
+
+.. code-block:: cpp
+
+ PYBIND11_DECLARE_HOLDER_TYPE(T, std::shared_ptr<T>)
+
+Continuing to do so won’t cause an error or even a deprecation warning,
+but it's completely redundant.
+
+
+Deprecation of a few ``py::object`` APIs
+----------------------------------------
+
+All of the old-style calls emit deprecation warnings.
+
++---------------------------------------+---------------------------------------------+
+| Old syntax | New syntax |
++=======================================+=============================================+
+| ``obj.call(args...)`` | ``obj(args...)`` |
++---------------------------------------+---------------------------------------------+
+| ``obj.str()`` | ``py::str(obj)`` |
++---------------------------------------+---------------------------------------------+
+| ``auto l = py::list(obj); l.check()`` | ``py::isinstance<py::list>(obj)`` |
++---------------------------------------+---------------------------------------------+
+| ``py::object(ptr, true)`` | ``py::reinterpret_borrow<py::object>(ptr)`` |
++---------------------------------------+---------------------------------------------+
+| ``py::object(ptr, false)`` | ``py::reinterpret_steal<py::object>(ptr)`` |
++---------------------------------------+---------------------------------------------+
+| ``if (obj.attr("foo"))`` | ``if (py::hasattr(obj, "foo"))`` |
++---------------------------------------+---------------------------------------------+
+| ``if (obj["bar"])`` | ``if (obj.contains("bar"))`` |
++---------------------------------------+---------------------------------------------+