Thank you for your interest in this project! Please refer to the following sections on how to contribute code and bug reports.
Before submitting a question or bug report, please take a moment of your time and ensure that your issue isn't already discussed in the project documentation provided at pybind11.readthedocs.org or in the issue tracker. You can also check gitter to see if it came up before.
Assuming that you have identified a previously unknown problem or an important question, it's essential that you submit a self-contained and minimal piece of code that reproduces the problem. In other words: no external dependencies, isolate the function(s) that cause breakage, submit matched and complete C++ and Python snippets that can be easily compiled and run in isolation; or ideally make a small PR with a failing test case that can be used as a starting point.
Contributions are submitted, reviewed, and accepted using GitHub pull requests. Please refer to this article for details and adhere to the following rules to make the process as smooth as possible:
- Make a new branch for every feature you're working on.
- Make small and clean pull requests that are easy to review but make sure they do add value by themselves.
- Add tests for any new functionality and run the test suite (
cmake --build build --target pytest
) to ensure that no existing features break. - Please run
pre-commit
to check your code matches the project style. (Note thatgawk
is required.) Usepre-commit run --all-files
before committing (or use installed-mode, check pre-commit docs) to verify your code passes before pushing to save time. - This project has a strong focus on providing general solutions using a minimal amount of code, thus small pull requests are greatly preferred.
pybind11 is provided under a BSD-style license that can be found in the
LICENSE
file. By using, distributing, or contributing to this project, you
agree to the terms and conditions of this license.
You are under no obligation whatsoever to provide any bug fixes, patches, or upgrades to the features, functionality or performance of the source code ("Enhancements") to anyone; however, if you choose to make your Enhancements available either publicly, or directly to the author of this software, without imposing a separate written license agreement for such Enhancements, then you hereby grant the following license: a non-exclusive, royalty-free perpetual license to install, use, modify, prepare derivative works, incorporate into other computer software, distribute, and sublicense such enhancements or derivative works thereof, in binary and source code form.
To setup an ideal development environment, run the following commands on a system with CMake 3.14+:
python3 -m venv venv
source venv/bin/activate
pip install -r tests/requirements.txt
cmake -S . -B build -DDOWNLOAD_CATCH=ON -DDOWNLOAD_EIGEN=ON
cmake --build build -j4
Tips:
- You can use
virtualenv
(from PyPI) instead ofvenv
(which is Python 3 only). - You can select any name for your environment folder; if it contains "env" it will be ignored by git.
- If you don’t have CMake 3.14+, just add “cmake” to the pip install command.
- You can use
-DPYBIND11_FINDPYTHON=ON
to use FindPython on CMake 3.12+ - In classic mode, you may need to set
-DPYTHON_EXECUTABLE=/path/to/python
. FindPython uses-DPython_ROOT_DIR=/path/to
or-DPython_EXECUTABLE=/path/to/python
.
In CMake, configuration options are given with “-D”. Options are stored in the
build directory, in the CMakeCache.txt
file, so they are remembered for each
build directory. Two selections are special - the generator, given with -G
,
and the compiler, which is selected based on environment variables CXX
and
similar, or -DCMAKE_CXX_COMPILER=
. Unlike the others, these cannot be changed
after the initial run.
The valid options are:
-DCMAKE_BUILD_TYPE
: Release, Debug, MinSizeRel, RelWithDebInfo-DPYBIND11_FINDPYTHON=ON
: Use CMake 3.12+’s FindPython instead of the classic, deprecated, custom FindPythonLibs-DPYBIND11_NOPYTHON=ON
: Disable all Python searching (disables tests)-DBUILD_TESTING=ON
: Enable the tests-DDOWNLOAD_CATCH=ON
: Download catch to build the C++ tests-DOWNLOAD_EIGEN=ON
: Download Eigen for the NumPy tests-DPYBIND11_INSTALL=ON/OFF
: Enable the install target (on by default for the master project)-DUSE_PYTHON_INSTALL_DIR=ON
: Try to install into the python dir
A few standard CMake tricks: (click to expand)
- Use
cmake --build build -v
to see the commands used to build the files. - Use
cmake build -LH
to list the CMake options with help. - Use
ccmake
if available to see a curses (terminal) gui, orcmake-gui
for a completely graphical interface (not present in the PyPI package). - Use
cmake --build build -j12
to build with 12 cores (for example). - Use
-G
and the name of a generator to use something different.cmake --help
lists the generators available. - On Unix, settingCMAKE_GENERATER=Ninja
in your environment will give you automatic mulithreading on all your CMake projects! - Open the
CMakeLists.txt
with QtCreator to generate for that IDE. - You can use
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON
to generate the.json
file that some tools expect.
To run the tests, you can "build" the check target:
cmake --build build --target check
--target
can be spelled -t
in CMake 3.15+. You can also run individual
tests with these targets:
pytest
: Python tests only, using the pytest frameworkcpptest
: C++ tests onlytest_cmake_build
: Install / subdirectory tests
If you want to build just a subset of tests, use
-DPYBIND11_TEST_OVERRIDE="test_callbacks.cpp;test_pickling.cpp"
. If this is
empty, all tests will be built.
You may also pass flags to the pytest
target by editing tests/pytest.ini
or
by using the PYTEST_ADDOPTS
environment variable
(see pytest
docs). As an example:
env PYTEST_ADDOPTS="--capture=no --exitfirst" \
cmake --build build --target pytest
# Or using abbreviated flags
env PYTEST_ADDOPTS="-s -x" cmake --build build --target pytest
All formatting is handled by pre-commit.
Install with brew (macOS) or pip (any OS):
# Any OS
python3 -m pip install pre-commit
# OR macOS with homebrew:
brew install pre-commit
Then, you can run it on the items you've added to your staging area, or all files:
pre-commit run
# OR
pre-commit run --all-files
And, if you want to always use it, you can install it as a git hook (hence the name, pre-commit):
pre-commit install
As of v2.6.2, pybind11 ships with a clang-format
configuration file at the top level of the repo (the filename is
.clang-format
). Currently, formatting is NOT applied automatically, but
manually using clang-format
for newly developed files is highly encouraged.
To check if a file needs formatting:
clang-format -style=file --dry-run some.cpp
The output will show things to be fixed, if any. To actually format the file:
clang-format -style=file -i some.cpp
Note that the -style-file
option searches the parent directories for the
.clang-format
file, i.e. the commands above can be run in any subdirectory
of the pybind11 repo.
clang-tidy
performs deeper static code analyses and is
more complex to run, compared to clang-format
, but support for clang-tidy
is built into the pybind11 CMake configuration. To run clang-tidy
, the
following recipe should work. Files will be modified in place, so you can
use git to monitor the changes.
docker run --rm -v $PWD:/pybind11 -it silkeh/clang:10
apt-get update && apt-get install python3-dev python3-pytest
cmake -S pybind11/ -B build -DCMAKE_CXX_CLANG_TIDY="$(which clang-tidy);-fix"
cmake --build build
To run include what you use, install (brew install include-what-you-use
on
macOS), then run:
cmake -S . -B build-iwyu -DCMAKE_CXX_INCLUDE_WHAT_YOU_USE=$(which include-what-you-use)
cmake --build build
The report is sent to stderr; you can pipe it into a file if you wish.
This builds with the Intel compiler (assuming it is in your path, along with a recent CMake and Python 3):
python3 -m venv venv
. venv/bin/activate
pip install pytest
cmake -S . -B build-intel -DCMAKE_CXX_COMPILER=$(which icpc) -DDOWNLOAD_CATCH=ON -DDOWNLOAD_EIGEN=ON -DPYBIND11_WERROR=ON
This will test the PGI compilers:
docker run --rm -it -v $PWD:/pybind11 nvcr.io/hpc/pgi-compilers:ce
apt-get update && apt-get install -y python3-dev python3-pip python3-pytest
wget -qO- "https://cmake.org/files/v3.18/cmake-3.18.2-Linux-x86_64.tar.gz" | tar --strip-components=1 -xz -C /usr/local
cmake -S pybind11/ -B build
cmake --build build
These details below are only for packaging the Python sources from git. The SDists and wheels created do not have any extra requirements at all and are completely normal.
The main objective of the packaging system is to create SDists (Python's source
distribution packages) and wheels (Python's binary distribution packages) that
include everything that is needed to work with pybind11, and which can be
installed without any additional dependencies. This is more complex than it
appears: in order to support CMake as a first class language even when using
the PyPI package, they must include the generated CMake files (so as not to
require CMake when installing the pybind11
package itself). They should also
provide the option to install to the "standard" location
(<ENVROOT>/include/pybind11
and <ENVROOT>/share/cmake/pybind11
) so they are
easy to find with CMake, but this can cause problems if you are not an
environment or using pyproject.toml
requirements. This was solved by having
two packages; the "nice" pybind11 package that stores the includes and CMake
files inside the package, that you get access to via functions in the package,
and a pybind11-global
package that can be included via pybind11[global]
if
you want the more invasive but discoverable file locations.
If you want to install or package the GitHub source, it is best to have Pip 10 or newer on Windows, macOS, or Linux (manylinux1 compatible, includes most distributions). You can then build the SDists, or run any procedure that makes SDists internally, like making wheels or installing.
# Editable development install example
python3 -m pip install -e .
Since Pip itself does not have an sdist
command (it does have wheel
and
install
), you may want to use the upcoming build
package:
python3 -m pip install build
# Normal package
python3 -m build -s .
# Global extra
PYBIND11_GLOBAL_SDIST=1 python3 -m build -s .
If you want to use the classic "direct" usage of python setup.py
, you will
need CMake 3.15+ and either make
or ninja
preinstalled (possibly via pip install cmake ninja
), since directly running Python on setup.py
cannot pick
up and install pyproject.toml
requirements. As long as you have those two
things, though, everything works the way you would expect:
# Normal package
python3 setup.py sdist
# Global extra
PYBIND11_GLOBAL_SDIST=1 python3 setup.py sdist
A detailed explanation of the build procedure design for developers wanting to work on or maintain the packaging system is as follows:
When you invoke any setup.py
command from the source directory, including
pip wheel .
and pip install .
, you will activate a full source build. This
is made of the following steps:
- If the tool is PEP 518 compliant, like Pip 10+, it will create a temporary
virtual environment and install the build requirements (mostly CMake) into
it. (if you are not on Windows, macOS, or a manylinux compliant system, you
can disable this with
--no-build-isolation
as long as you have CMake 3.15+ installed) - The environment variable
PYBIND11_GLOBAL_SDIST
is checked - if it is set and truthy, this will be make the accessorypybind11-global
package, instead of the normalpybind11
package. This package is used for installing the files directly to your environment root directory, usingpybind11[global]
. setup.py
reads the version frompybind11/_version.py
and verifies it matchesincludes/pybind11/detail/common.h
.- CMake is run with
-DCMAKE_INSTALL_PREIFX=pybind11
. Since the CMake install procedure uses only relative paths and is identical on all platforms, these files are valid as long as they stay in the correct relative position to the includes.pybind11/share/cmake/pybind11
has the CMake files, andpybind11/include
has the includes. The build directory is discarded. - Simpler files are placed in the SDist:
tools/setup_*.py.in
,tools/pyproject.toml
(main
orglobal
) - The package is created by running the setup function in the
tools/setup_*.py
.setup_main.py
fills in Python packages, andsetup_global.py
fills in only the data/header slots. - A context manager cleans up the temporary CMake install directory (even if an error is thrown).
Since the SDist has the rendered template files in tools
along with the
includes and CMake files in the correct locations, the builds are completely
trivial and simple. No extra requirements are required. You can even use Pip 9
if you really want to.