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from our experiences on jupyter-lsp, conda solves with r-*+jupyter_* can be... expensive. even with mamba(forge). but especially on windows. but worth it, because there are a lot of windows r users.
it may be worth considering pre-solving and caching the solutions in ci with conda-lock... there's some skullduggery it does where this could be done in an up-front job with a cheap pip installed conda-lock, do the solves for all the platforms, and kick those down to jobs for the big three OSes.
also: it's rad someone's been working on jupyter_kernel_test ❤️🔥 !
Problem
We are currently only testing against
ipykernel
. If we were testing against at least one other kernel we can help prevent issues like #633.Proposed Solution
Add a CI job that installs IRKernel in a conda environment and runs a test that starts the server, a kernel, and executes on the kernel.
Additional context
Use jupyter_kernel_test as an example for the CI setup.
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