Polyglot Notebook: [DevExE2E] The cell kept in running status and can't be stopped in the newly created .dib/ipynb file.

[v-hozha1]

Describe the bug

We fail to execute the cell with very simple F# code "1+1". The cell is kept in running status and can't be stopped in the newly created .dib/ipynb file.

Detailed Repro Build info:
VSCodeSetup-x64-1.90.0 + dotnet-interactive-vscode-1.0.5312031.vsix + dotnet-sdk-8.0.302-win-x64

VS Code link: https://code.visualstudio.com/download#
Version: 1.90.0 (system setup)
Commit: 89de5a8d4d6205e5b11647eb6a74844ca23d2573
Date: 2024-06-04T19:33:54.889Z
Electron: 29.4.0
ElectronBuildId: 9593362
Chromium: 122.0.6261.156
Node.js: 20.9.0
V8: 12.2.281.27-electron.0
OS: Windows_NT x64 10.0.19045

dotnet-interactive-vscode-1.0.5312031.vsix
https://dev.azure.com/dnceng/internal/_build/results?buildId=2472419&view=artifacts&pathAsName=false&type=publishedArtifacts

Steps:
1.Ctrl+Shift+P` => "Polyglot Notebook: Create new blank notebook"
2.Select "Create as .ipynb"
3.Select "F#"
4.Set the cell contents to 1+1 and execute.
5. If the cell kept in running steps, click stop or Stop Execution button.

Note: If you don't encounter this issue, please close VS code and repeated above steps again.

Expected Results:
The cell should be executed normally, and users can stop cell running with no issue.

Actual Results:
The cell is kept in running status and can't be stopped in the newly created .dib/ipynb file.

Please complete the following:

Which version of .NET Interactive are you using? (In a notebook, run the #!about magic command. ):

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[Marlon Regenhardt]

I have the same problem with a python cell. Unfortunately it's not deterministic, as it works most of the time, just sometimes keeps running forever after printing the four plots I have in this cell. The output below the cell looks complete, so it's stuck somewhere after the last command.

This is in a .dib file, .NET Interactive, #!connect jupyter --kernel-name pythonkernel --kernel-spec python3 in top cell.

Edit: Actually all this data is public, so here's the file to reproduce it, even though non-deterministically so good luck:
https://gitlab.com/Regenhardt/bachelorarbeit/-/blob/c8c9b9b736d23e9db2176334d99a78ef630a7fdd/Code/fall_detection.dib

Note the file loads data in the same repository so you need to clone the whole thing.