mirror of
https://github.com/pybind/pybind11.git
synced 2026-03-14 20:27:47 +00:00
4dc33d6524
* ChatGPT-generated diamond virtual-inheritance test case.
* Report "virtual base at offset 0" but don't skip test.
* Remove Left/Right virtual default dtors, to resolve clang-tidy errors:
```
/__w/pybind11/pybind11/tests/test_class_sh_mi_thunks.cpp:44:13: error: prefer using 'override' or (rarely) 'final' instead of 'virtual' [modernize-use-override,-warnings-as-errors]
44 | virtual ~Left() = default;
| ~~~~~~~ ^
| override
/__w/pybind11/pybind11/tests/test_class_sh_mi_thunks.cpp:48:13: error: prefer using 'override' or (rarely) 'final' instead of 'virtual' [modernize-use-override,-warnings-as-errors]
48 | virtual ~Right() = default;
| ~~~~~~~ ^
| override
```
* Add assert(ptr) in register_instance_impl, deregister_instance_impl
* Proper bug fix
* Also exercise smart_holder_from_unique_ptr
* [skip ci] ChatGPT-generated bug fix: smart_holder::from_unique_ptr()
* Exception-safe ownership transfer from unique_ptr to shared_ptr
ChatGPT:
* shared_ptr’s ctor can throw (control-block alloc). Using get() keeps unique_ptr owning the memory if that happens, so no leak.
* Only after the shared_ptr is successfully constructed do you release(), transferring ownership exactly once.
* [skip ci] Rename alias_ptr to mi_subobject_ptr to distinguish from trampoline code (which often uses the term "alias", too)
* [skip ci] Also exercise smart_holder::from_raw_ptr_take_ownership
* [skip ci] Add st.first comments (generated by ChatGPT)
* [skip ci] Copy and extend (raw_ptr, unique_ptr) reproducer from PR #5796
* Some polishing: comments, add back Left/Right dtors for consistency within test_class_sh_mi_thunks.cpp
* explicitly default copy/move for VBase to silence -Wdeprecated-copy-with-dtor
* Resolve clang-tidy error:
```
/__w/pybind11/pybind11/tests/test_class_sh_mi_thunks.cpp:67:5: error: 'auto ptr' can be declared as 'auto *ptr' [readability-qualified-auto,-warnings-as-errors]
67 | auto ptr = new Diamond;
| ^~~~
| auto *
```
* Expand comment in `smart_holder::from_unique_ptr()`
* Better Left/Right padding to make it more likely that we avoid "all at offset 0". Clarify comment.
* Give up on `alignas(16)` to resolve MSVC warning:
```
"D:\a\pybind11\pybind11\build\ALL_BUILD.vcxproj" (default target) (1) ->
"D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj" (default target) (13) ->
(ClCompile target) ->
D:\a\pybind11\pybind11\tests\test_class_sh_mi_thunks.cpp(70,17): warning C4316: 'test_class_sh_mi_thunks::Diamond': object allocated on the heap may not be aligned 16 [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
D:\a\pybind11\pybind11\tests\test_class_sh_mi_thunks.cpp(80,43): warning C4316: 'test_class_sh_mi_thunks::Diamond': object allocated on the heap may not be aligned 16 [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.44.35207\include\memory(2913,46): warning C4316: 'std::_Ref_count_obj2<_Ty>': object allocated on the heap may not be aligned 16 [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.44.35207\include\memory(2913,46): warning C4316: with [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.44.35207\include\memory(2913,46): warning C4316: [ [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.44.35207\include\memory(2913,46): warning C4316: _Ty=test_class_sh_mi_thunks::Diamond [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Tools\MSVC\14.44.35207\include\memory(2913,46): warning C4316: ] [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
D:\a\pybind11\pybind11\include\pybind11\detail\init.h(77,21): warning C4316: 'test_class_sh_mi_thunks::Diamond': object allocated on the heap may not be aligned 16 [D:\a\pybind11\pybind11\build\tests\pybind11_tests.vcxproj]
```
The warning came from alignas(16) making Diamond over-aligned, while regular new/make_shared aren’t guaranteed to return 16-byte aligned memory on MSVC (hence C4316). I’ve removed the explicit alignment and switched to asymmetric payload sizes (char[4] vs char[24]), which still nudges MI layout without relying on over-alignment. This keeps the test goal and eliminates the warning across all MSVC builds. If we ever want to stress over-alignment explicitly, we can add aligned operator new/delete under __cpp_aligned_new, but that’s more than we need here.
* Rename test_virtual_base_at_offset_0() → test_virtual_base_not_at_offset_0() and replace pytest.skip() with assert. Add helpful comment for future maintainers.
.. figure:: https://github.com/pybind/pybind11/raw/master/docs/pybind11-logo.png
:alt: pybind11 logo
**pybind11 (v3) — Seamless interoperability between C++ and Python**
|Latest Documentation Status| |Stable Documentation Status| |Gitter chat| |GitHub Discussions|
|CI| |Build status| |SPEC 4 — Using and Creating Nightly Wheels|
|Repology| |PyPI package| |Conda-forge| |Python Versions|
`Setuptools example <https://github.com/pybind/python_example>`_
• `Scikit-build example <https://github.com/pybind/scikit_build_example>`_
• `CMake example <https://github.com/pybind/cmake_example>`_
.. start
**pybind11** is a lightweight header-only library that exposes C++ types
in Python and vice versa, mainly to create Python bindings of existing
C++ code. Its goals and syntax are similar to the excellent
`Boost.Python <http://www.boost.org/doc/libs/1_58_0/libs/python/doc/>`_
library by David Abrahams: to minimize boilerplate code in traditional
extension modules by inferring type information using compile-time
introspection.
The main issue with Boost.Python—and the reason for creating such a
similar project—is Boost. Boost is an enormously large and complex suite
of utility libraries that works with almost every C++ compiler in
existence. This compatibility has its cost: arcane template tricks and
workarounds are necessary to support the oldest and buggiest of compiler
specimens. Now that C++11-compatible compilers are widely available,
this heavy machinery has become an excessively large and unnecessary
dependency.
Think of this library as a tiny self-contained version of Boost.Python
with everything stripped away that isn't relevant for binding
generation. Without comments, the core header files only require ~4K
lines of code and depend on Python (CPython 3.8+, PyPy, or GraalPy) and the C++
standard library. This compact implementation was possible thanks to some C++11
language features (specifically: tuples, lambda functions and variadic
templates). Since its creation, this library has grown beyond Boost.Python in
many ways, leading to dramatically simpler binding code in many common
situations.
Tutorial and reference documentation is provided at
`pybind11.readthedocs.io <https://pybind11.readthedocs.io/en/latest>`_.
A PDF version of the manual is available
`here <https://pybind11.readthedocs.io/_/downloads/en/latest/pdf/>`_.
And the source code is always available at
`github.com/pybind/pybind11 <https://github.com/pybind/pybind11>`_.
Core features
-------------
pybind11 can map the following core C++ features to Python:
- Functions accepting and returning custom data structures per value,
reference, or pointer
- Instance methods and static methods
- Overloaded functions
- Instance attributes and static attributes
- Arbitrary exception types
- Enumerations
- Callbacks
- Iterators and ranges
- Custom operators
- Single and multiple inheritance
- STL data structures
- Smart pointers with reference counting like ``std::shared_ptr``
- Internal references with correct reference counting
- C++ classes with virtual (and pure virtual) methods can be extended
in Python
- Integrated NumPy support (NumPy 2 requires pybind11 2.12+)
Goodies
-------
In addition to the core functionality, pybind11 provides some extra
goodies:
- CPython 3.8+, PyPy3 7.3.17+, and GraalPy 24.1+ are supported with an
implementation-agnostic interface (see older versions for older CPython
and PyPy versions).
- It is possible to bind C++11 lambda functions with captured
variables. The lambda capture data is stored inside the resulting
Python function object.
- pybind11 uses C++11 move constructors and move assignment operators
whenever possible to efficiently transfer custom data types.
- It's easy to expose the internal storage of custom data types through
Pythons' buffer protocols. This is handy e.g. for fast conversion
between C++ matrix classes like Eigen and NumPy without expensive
copy operations.
- pybind11 can automatically vectorize functions so that they are
transparently applied to all entries of one or more NumPy array
arguments.
- Python's slice-based access and assignment operations can be
supported with just a few lines of code.
- Everything is contained in just a few header files; there is no need
to link against any additional libraries.
- Binaries are generally smaller by a factor of at least 2 compared to
equivalent bindings generated by Boost.Python. A recent pybind11
conversion of PyRosetta, an enormous Boost.Python binding project,
`reported <https://graylab.jhu.edu/Sergey/2016.RosettaCon/PyRosetta-4.pdf>`_
a binary size reduction of **5.4x** and compile time reduction by
**5.8x**.
- Function signatures are precomputed at compile time (using
``constexpr``), leading to smaller binaries.
- With little extra effort, C++ types can be pickled and unpickled
similar to regular Python objects.
Supported compilers
-------------------
1. Clang/LLVM 3.3 or newer (for Apple Xcode's clang, this is 5.0.0 or
newer)
2. GCC 4.8 or newer
3. Microsoft Visual Studio 2022 or newer (2019 probably works, but was dropped in CI)
4. Intel classic C++ compiler 18 or newer (ICC 20.2 tested in CI)
5. Cygwin/GCC (previously tested on 2.5.1)
6. NVCC (CUDA 11.0 tested in CI)
7. NVIDIA PGI (20.9 tested in CI)
Supported Platforms
-------------------
* Windows, Linux, macOS, and iOS
* CPython 3.8+, Pyodide, PyPy, and GraalPy
* C++11, C++14, C++17, C++20, and C++23
About
-----
This project was created by `Wenzel
Jakob <http://rgl.epfl.ch/people/wjakob>`_. Significant features and/or
improvements to the code were contributed by
Jonas Adler,
Lori A. Burns,
Sylvain Corlay,
Eric Cousineau,
Aaron Gokaslan,
Ralf Grosse-Kunstleve,
Trent Houliston,
Axel Huebl,
@hulucc,
Yannick Jadoul,
Sergey Lyskov,
Johan Mabille,
Tomasz Miąsko,
Dean Moldovan,
Ben Pritchard,
Jason Rhinelander,
Boris Schäling,
Pim Schellart,
Henry Schreiner,
Ivan Smirnov,
Dustin Spicuzza,
Boris Staletic,
Ethan Steinberg,
Patrick Stewart,
Ivor Wanders,
and
Xiaofei Wang.
We thank Google for a generous financial contribution to the continuous
integration infrastructure used by this project.
Contributing
~~~~~~~~~~~~
See the `contributing
guide <https://github.com/pybind/pybind11/blob/master/.github/CONTRIBUTING.md>`_
for information on building and contributing to pybind11.
License
~~~~~~~
pybind11 is provided under a BSD-style license that can be found in the
`LICENSE <https://github.com/pybind/pybind11/blob/master/LICENSE>`_
file. By using, distributing, or contributing to this project, you agree
to the terms and conditions of this license.
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.. |SPEC 4 — Using and Creating Nightly Wheels| image:: https://img.shields.io/badge/SPEC-4-green?labelColor=%23004811&color=%235CA038
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