When I try to copy something from contextual help panel it won't copy the item to my clipboard and there is a option for cut but if i press that , the cell in my jupyter notebook disappear

A papercut, but the category is confusing and also doesn't seem very "finished up".

The opencv-python package available in the pyodide kernel reports not available when running the kernel from vscode.dev

from platform import python_version
print(python_version())
import cv2 as cv

3.9.5

ModuleNotFoundError Traceback (most recent call last)
Cell In[24], line 7
5 from platform import python_version
6 print(python_version())
----> 7 import cv2 as cv

ModuleNotFoundError: No module named 'cv2'

#############################
The test file from the pyodide repo uses import cv2 as cv for importing the package. https://github.com/pyodide/pyodide/blob/main/packages/opencv-python/test_opencv_python.py

can't retrieve active kernel from the sidebar with the error prompt activeKernels.filter is not a function. let me know how I can further provide debug log, thanks.

Hi,there. Just came across an engineering issue.

Proposal Summary

Add shortcut to clean specify cell group could be very helpful.

Motivation

After tagged a couple of cells to groups, things become kind of a mess. Say if clean and rebuild group 1. Currently, it seems to have to scroll down the whole notebook to check and untag group cells individually.
Either a function to list all the cells by which specify group hold or a group clean shortcut could help.

Due to previous API limitations the visibility of the icons to add cells to and from run groups were all keyed off the active notebook cell. Here is an example of the issue:

Note with two docs side by side the active selection is in the right document. But in the left document the cell UI is still visible and it's incorrect (it's allowing an add to a group that already has it). With the new support for per cell context resources we can now fix this up.

I have multiple dictionaries with length 10,000 created and each key is associated with a (1, 300) vector. Then suddenly, running cells became so slow on the notebook. It took a few mins to show a single key-value pair, and even took about 4 mins to submit a written function.

So I checked executing notifications, and turned out that it might be caused by PowerToys.

When I submitted a function, and there appeared multiple Executing code running at the same time.

After disabling it, everything went back to normal.

When debugging an extension I wanted to restart a kernel from the button on an Active Sessions entry, I saw this message in the debug console:

rejected promise not handled within 1 second: Error: command 'jupyter.notebookeditor.restartkernel' not found

Clicking the button does not cause the group to be displayed at the bottom, nor does it actually add the group to the JSON.
The group is displayed as soon as you change something in the cell or it disappears from the screen once, but not in the JSON.
Furthermore, the buttons have no effect at all on new cells, only after reloading the window they have any effect at all.

Extension Version: v0.0.5
Jupyter Extension: v2022.6.1201981810
VSCode: 1.69.2

to reproduce:

1. open a jupyter notebook
2. when selecting kernel, specify a remote jupyter server
3. run any code in the notebook to start the kernel
4. close the jupyter kernel in jupyter powertoys menu
5. refresh the session list

for screenshots see below

I am pretty sure that the kernel is closed after I click the dustbin icon as the process disappeared from htop, and the remote server showed relevant log, and when I run the code cell again it gave me:

So I believe the kernel has been shutdown correctly but the kernel refresh process have some issue

When I search restart kernel on the command palette, I see two commands to restart the kernel:

And clicking on the jupyter-kernelManager.restartKernel command gives me error:

The contextual help works very good for python notebooks. For R documents the contextual help also works well, except those head lines, titles, and subtitles. It looks like those lines are in different encodings than the documents contents. The contextual help on those lines often have one extra char before each of the letters. Seems like utf16 encoding strings show in utf8 settings.

I also have jupyterhub running jupyterlab notebooks. The contextual help on those jupyterlab pages do not have this issue. The vscode is attached to the same R kernel on the same docker container which jupyterhub is running on. I think both of vscode and jupyterhub use the same R documents from the same source. So for vscode there may be more encoding aspects to be considered. Thanks your for
you help on this issue.

I think the cell grouping experience can definitely be improved here and think that it would benefit a lot of users! Not to make this into a spec, and understanding that this won't be "to do now", but just brainstorming here:

• Ability to create more than 2 groups
• Intuitive key bindings for grouping cells, running them, and then ungrouping them
• Would be nice to have the grouping persist via git (e.g. through metadata)
• Creating custom names for groups
• Being able to easily copy and paste a group of cells to a different notebook
• Being able to always start a notebook with a specific group (e.g. "I use similar imports all the time")

I tried to install the extension through VSCode and receive a notice it can't be installed with the current version. I'm running version 1.66.2 which is current.

I can install it, but I can't seem to run any commands. I tried running the following command in an ipynb file:

Originally posted by @rzhao271 in microsoft/vscode-jupyter#9251 (comment)

Would be nice if we can see all the packages installed for environments (both the ones in the "Kernel Specifications" and in the "Active Jupyter Sessions"). Also, the dropdown for an Active Jupyter Sessions doesn't do anything (orange circle), and that's where I'd expect this information to be at:

As a reference, kind of like how Don's Python Environment Manager lists "Info" and "Packages" for each env:

Hi folks, I'm really glad this extension is being developed since I really believe this is the most important Python issue in VScode right now, as discussed here.

The Docs View extension is not a satisfying alternative because it does not display the full info for some methods/functions.

Also, it would be very helpful to be able to search the Contextual Help and to navigate to previous and next help tabs (RStudio Help pane is a very good reference).

Thank you

👋 We're currently working to finalize VS Code apis for editing notebooks. As part of this work, we've deprecated the notebookEditorEdit API proposal and have replaced it with a new notebookWorkspaceEdit proposal

This proposal should offer the same functionality as the old API, but expresses it differently.

However before finalizing this new API, we'd like to hear your feedback about it. Please try migrating to the new notebookWorkspaceEdit API and let me know if you run into any problems or have any concerns

If everything looks good with the notebookWorkspaceEdit proposal, please go ahead and check in the migration to the new API so we can eventually remove the old, now deprecated notebookEditorEdit proposal

See microsoft/vscode#149181 for details

As this tool: https://marketplace.visualstudio.com/items?itemName=donjayamanne.jupyterpowertools

Or even give a native jupyterlab panel: