I found the cause:

.local/lib/python3.10/site-packages/  is part of the interpreter's load
path, and so an old version of numpy was imported in priority over
guix's.

I don't know if this is by design, but if so, it means that any
pip --user installed package will overshadow any guix install package,
even when giving --pure to guix shell. It may not be what we want.

What made me find this is that sklearn worked when in a container, but
not in a shell, that meant that something from the local system was
leaking into the shell.



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