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Building and uploading nipy wheels

We automate wheel building using this custom github repository that builds on the Github Actions machines.

The driving github repository is https://github.com/MacPython/nipy-wheels

Things to configure

Update the nipy submodule commit as below.

Consider changing the Numpy versions used for the build, configured in print_deps.py.

How it works

The wheel-building repository:

  • does a fresh build of any required C / C++ libraries;
  • builds a nipy wheel, linking against these fresh builds;
  • processes the wheel using delocate (macOS) or auditwheel repair (Manylinux1). delocate and auditwheel copy the required dynamic libraries into the wheel and relinks the extension modules against the copied libraries;
  • uploads the built wheels as Github Actions artifacts.

The resulting wheels are therefore self-contained and do not need any external dynamic libraries apart from those provided as standard by macOS / Linux as defined by the manylinux1 standard.

Triggering a build

Update the nipy submodule to the commit you want to build, and commit that change to this repo.

You will need write permission to the github repository to trigger new builds on the Actions interface. Contact us on the mailing list if you need this.

You can trigger a build by making a commit to the nipy-wheels repository (e.g. with git commit --allow-empty); or

Uploading the built wheels to pypi

When the wheels are updated, you can download them to your machine manually, and then upload them manually to pypi, or by using twine.

To download, use something like:

gh run download --pattern "*-wheels-*" --dir _wheels
cp _wheels/*/*.whl wheelhouse

You may want to add the sdist to the wheelhouse. Build, copy with:

(cd nipy && make source-release)
cp nipy/dist/*.tar.gz wheelhouse

Then upload everything with e.g.:

twine upload --sign wheelhouse/nipy-0.5.0-*

In order to use Twine, you will need something like this in your ~/.pypirc file:

[distutils]
index-servers =
    pypi

[pypi]
username:your_user_name
password:your_password

Of course, you will need permissions to upload to PyPI, for this to work.