This adds a step that generates an xbuildenv to the circleci CI and
deploys it to github releases when we make a release. I also updated
the url in download_xbuildenv to point to github releases.
This completes the out of tree build CLI. This PR is paired up with:
numpy/numpy#21895
I have also successfully built scikit-learn, statsmodels, pandas, and
astropy with this.
The last thing we need to do after this is set up deployment of the
cross build environment. We can deploy one version to s3 for each
tagged commit. I will do that in a separate PR after this is merged.
This is more WIP on create_xbuildenv. I am including some of the WASM_LIB_DIR
but not all of it to keep size in check. The current cross build environment that we
would upload/download is 20mb.
To use this, we need an extra CLI entrypoint which I am working on.
* chore: add some incomplete types
* chore: modernize pyproject.toml
Adding more incomplete types. About 2/3 of the way through being
able to turn on the strictness flag for it.
This adds pyodide_build command create_xbuildenv which creates a
crossbuild environment (from a copy of Pyodide where scipy has been
build) and install_xbuildenv which installs the cross build environment
into a fresh copy of Pyodide.
I successfully installed the xbuild environment into a fresh checkout of
Pyodide then built statsmodels and scikit-learn in isolation, without
building the Python interpreter, numpy, or scipy. I dumped the generated
wheels into a copy of Pyodide downloaded from CI, and was able to import
and use them as normal.
The size of the xbuild environment is 1.5 megabytes, of which 1.2 megabytes
is Python headers.
In a subsequent PR, we can update the CI to automatically upload these
to aws s3 and then install the environment from there.
Hood Chatham