seamless
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jinja2 version troubles
See https://github.com/d2l-ai/d2l-book/issues/46 . Has been solved by pinning jinja2 to 3.0, but this isn't viable long-term.
This affects the seamless-deps
Docker image, and therefore also the seamless
and seamless-devel
Docker images.
This is caused by inheriting from an aged jupyter-notebook-scipy Docker image. This must be refreshed in a new Seamless release.
The seamless-framework
conda environment installs a more recent Jupyter by itself, and is not affected.