Unclear on how to use Lua kernel

Environment data

• VS Code version: 1.54-insiders
• Jupyter Extension version (available under the Extensions sidebar): Version: 2020.12.414227025
• Python Extension version (available under the Extensions sidebar): v2021.2.531887795-dev
• OS (Windows | Mac | Linux distro) and version: Windows
• Python and/or Anaconda version: 3.8
• Type of virtual environment used (N/A | venv | virtualenv | conda | …): N/A
• Jupyter server running: Remote (WSL)

Expected behaviour

An UI hint that explains how to use Kernels that are not part of the preconfigured list

Actual behaviour

No hint

Steps to reproduce:

• Try to use the iLua kernel

In comparison to the Python interpreter popup, the Jupyter Kernel one does not have an option to add one manually.

Logs

Output for Jupyter in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Jupyter)

XXX

[DavidKutu]

Thanks for letting us know @Stanzilla.

We only check on specific places to look for kerneles, this is for performance reasons. So all you need to do to get your lua kernel on VS code is:

1. Follow the instructions on the link you shared, the lua kernel should be on <your folder>\ilua\~\.local\share\jupyter\kernels
2. Copy that lua kernel to C:\Users\<user>\AppData\Roaming\jupyter\kernels
3. Reload VS code

With that the lua kernel should come up on the kernel picker:

Let me know if this helps

[rchiodo]

Closing as this issue seems like an installation problem of lua itself and not an issue with the jupyter extension.