types-clang
Type Information for Clang Python Bindings
Have you used the Clang Python Bindings, but wanted type hints in your IDE? Have you ever wanted to use mypy tools on a project that uses Clang but gotten errors due to lack of type annotations? This package is a PEP 561 stub package which provides type information for Clang.
In other words, transform your IDE from:
to:
To utilize this, add it globally with:
pip3 install types-clang
Or add types-clang to dev-requirements.txt or pyproject.toml or whatever you use for dependency management.
Versioning
Note
This project is still 0.x, so add a 0. in front of the descriptions here.
In other words, for clang 12.0.1, use types-clang 0.12.2.
The published types-clang packages correspond with the type information of the {major}.{minor} of the clang
package.
The patch version of types-clang does not correspond with any patch version of clang, as they use semantic
versioning correctly and will not add functionality in a patch release.
So, if you install clang==13.0.1, then types-clang>=13.0, <13.1 will have the appropriate stubs.
Best practice is to write the version specification for types-clang to be the same as the clang package, but
without the patch.
For Poetry:
[tool.poetry.dependencies] clang = "14.0" [tool.poetry.dev-dependencies] types-clang = "14.0"
Developing
Development of this project is slightly indirect.
The root project is named gen-gen-types-clang, which uses file copying and a bit of
Jinja to create a couple of project files based on a version of Clang.
By default, these live in projects/${CLANG_VERSION}.
These generated projects are all named gen-types-clang, which contain a script named generate-cindex that will
generate types-clang/clang-stubs/cindex.pyi based on the installed clang.cindex module.
Once run, the types-clang project can be tested with tox.
You can do all of this by running the ./build-all script at the root of this repository.
This all seems a bit convoluted
You are correct.
I want to be able to generate Clang bindings for versions of Clang from the past and be able to fix mistakes in the generated stubs. I was not able to find a Python project system capable of doing this out-of-the-box.
Another reason this is done is to support older versions of Python. Jinja requires Python 3.7 and above, but I needed this project to work with Python 3.6 (even though it is past the end of security fixes). Since Jinja is only used at generation time, there is no need to restrict the published package to 3.7+.
I thought this was the best approach at the time. If there is an easier way to do this, let me know.
