Wheel-building can be pretty complex. We expect users to find edge-cases - please help the rest of the community out by documenting these, adding features to support them, and reporting bugs.
If you have an idea for a modification or feature, it's probably best to raise an issue first and discuss it with the maintainer team. Once we have rough consensus on a design, begin work in a PR.
Everyone contributing to the cibuildwheel project is expected to follow the [PSF Code of Conduct](https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md).
- The platforms are very similar, until they're not. I'd rather have straight-forward code than totally DRY code, so let's keep airy platform abstractions to a minimum.
- I might want to break the options into a shared config file one day, so that config is more easily shared. That has motivated some of the design decisions.
cibuildwheel doesn't really do anything itself - it's always deferring to other tools (pip, wheel, auditwheel, delocate, docker). Without cibuildwheel, the process is really fragmented. Different tools, across different OSs need to be stitched together in just the right way to make it work.
We're not responsible for errors in those tools, for fixing errors/crashes there. But cibuildwheel's job is providing users with an 'integrated' user experience across those tools. We provide an abstraction. The user says 'build me some wheels', not 'open the docker container, build a wheel with pip, fix up the symbols with auditwheel' etc. However, errors have a habit of breaking abstractions. And this is where users get confused, because the mechanism of cibuildwheel is laid bare, and they must understand a little bit how it works to debug.
So, if we can, I'd like to improve the experience on errors as well. In [this](https://github.com/pypa/cibuildwheel/issues/139) case, it takes a bit of knowledge to understand that the Linux builds are happening in a different OS via Docker, that the linked symbols won't match, that auditwheel will fail because of this. A problem with how the tools fit together, instead of the tools themselves.
Most developer tasks have a nox interface. This allows you to very simply run tasks without worrying about setting up a development environment (as shown below). This is a slower than setting up a development environment and reusing it, but has the (important) benefit of being highly reproducible; an earlier run does not affect a current run, or anything else on your machine.
Install [nox](https://nox.thea.codes); homebrew is recommend on macOS, otherwise, pipx is a great choice - in fact, you can use `pipx run nox` and avoid installing completely.
You can see a list of sessions by typing `nox -l`; here are a few common ones:
```console
nox -s lint # Run the linters (default)
nox -s tests # Run the tests (default)
nox -s docs -- serve # Build and serve the documentation
nox -s build # Make SDist and wheel
```
More advanced users can run the update scripts. `update_pins` should work directly, but `update_constraints` needs all versions of Python installed. If you don't want to do that locally, a fast way to run it to use docker to run nox:
cibuildwheel's example configs can be tested on a simple project on cibuildwheel's existing CI. These should be run whenever the minimal configs change.
The script will create an isolated 'orphan' commit containing all the minimal config CI files, and a simple C extension project, and push that to a branch on the `origin` repo. The project's CI is already set up to run on branch push, so will begin testing.
Before making a release, ensure pinned dependencies are up-to-date. Autoupdates are run weekly, with a PR being raised with any changes as required, so just make sure the latest one is merged before continuing.
You'll be prompted to enter the new version number. Update the changelog when prompted. The script will create a 'bump version' commit and version tag.
Then head to https://github.com/pypa/cibuildwheel/releases and create a GitHub release from the new tag, pasting in the changelog entry. Once the release is created inside GitHub, a CI job will create the assets and upload them to PyPI.