code sys.exit() causes interactive terminal to freeze with kernel crash
capt-watson opened this issue · comments
Type: Bug
When sys.exit() code is executed by clicking on close [X] button while the python program is running in main file, the jupyter interactive-1 window freezes followed by kernel crash.
However, when the same program file is run with default output set to be from dedicated terminal, the program terminates without any issues such vs code freeze or kernel crash.
Extension version: 2024.4.2024041101
VS Code version: Code 1.88.1 (e170252f762678dec6ca2cc69aba1570769a5d39, 2024-04-10T17:41:02.734Z)
OS version: Windows_NT x64 10.0.22635
Modes:
System Info
| Item | Value |
|---|---|
| CPUs | AMD Ryzen 5 5625U with Radeon Graphics (12 x 2296) |
| GPU Status | 2d_canvas: enabled canvas_oop_rasterization: enabled_on direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: enabled |
| Load (avg) | undefined |
| Memory (System) | 15.34GB (7.95GB free) |
| Process Argv | --crash-reporter-id 484abd28-e8b1-4de9-965b-4ca954c1dad6 |
| Screen Reader | no |
| VM | 0% |
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I"m struggling to understand this issue.
When sys.exit() code is executed by clicking on close [X] button while the python program
I don't understand how sys.exit is excuted when clicking an x button, what x button?
Please can you share a screen recording of the issue, you can use https://gifcap.dev/ to record the screen.
Please find attached video of the issue for your perusal.
The game page screenshot is attached here as it was not captured by the screen recorder.
Please can you try running the exact same code in Jupyter Lab or Jupyter Notebook and see if the issue repros in there.
If it does, please can you share the terminal output.
@DonJayamanne Thank you for reply.
I have tried running the above code in my Jupyter Notebook but the result is exactly as shown in my previous screen-recoding attached above.
Now I have also attached a new screen-recoding for your perusal.
Please do let me know if require any further details.
I have tried running the above code in my Jupyter Notebook but the result is exactly as shown in my previous screen-recoding attached above.
I'm referring to Jupyter Lab application thats launched outside VS Code.
This is what I'm referring to https://jupyter.org/
@DonJayamanne Unfortunately, I do not use stand alone Jupyter Notebook application as I work on various programming languages and VS code suits me fine for this purpose.
I have a suggestion. As Google Colab uses Jupyter Notebook application, I can run this code in Google Colab and send you the result. Will this serve the purpose? Kindly let me know.
Would it be possible to run pip install jupyterlab in your Python environment and then test this.
& then run python -m jupyter lab from that environment to launch Jupyter and test thsi in a notebook.
I do not believe this is an issue with VS Code, hence the suggestion to try Jupyter Lab or Jupyter Notebook.
Google Colab is slightly different, as there are some subtle differences.
@DonJayamanne As I already had Jupyter Notebook installed via pip, I could run my program from the Jupyter Notebook. But still no changes in the outcome. Jupyter Notebook is still throwing the same error and causing the kernel to crash.
If you remember, I had in my very first ticket mentioned that I am facing this issue only when I try to get the output from the Jupyter Interactive Terminal. I am always able to get the desired output from my VS code terminal without any issues.
Fyi, I have attached a copy of the screen recording of the time when I tried to run my program from the Jupyter Notebook which caused my Kernel to crash. Unfortunately, your screen recorder is unable to capture the game viewer pop-up page.
Fyi, I have attached a copy of the screen recording of the time when I tried to run my program from the Jupyter Notebook which caused my Kernel to crash.
Thanks for testing this in Jupyter notebooks.
This confirms my initial hypothesis, given that it crashes outside vscode is not caused by vscode nor the jupyter extension.
I would suggest trying stack overflow or the like to try and get to the bottom of this issue.