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microsoft / vscode-jupyter

VS Code Jupyter extension
https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter
MIT License
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Notebook validation failed when open notebook in browser. #1975

Closed zhouwangyang closed 3 years ago

zhouwangyang commented 4 years ago

Environment data

Expected behaviour

The file should open in the web browser and contain the output from the Interactive Window

Actual behaviour

An invalid notebook may not function properly.The validation error was:

Notebook validation failed: Additional properties are not allowed ('transient' was unexpected):
{
 "data": {
  "image/png": 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image

Steps to reproduce:

  1. Open test.py in vsc 
    
import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

%% Matplotlib Plot

x = np.linspace(0, 20, 100)

plt.plot(x, np.sin(x))

plt.show()


2.Click 'rull cell' to execute all cells
3.Click the `Export as Jupyter Notebook` button in the Interactive Window
4.Choose a file location and save the generated .ipynb file
5.When the prompt comes up in the lower right choose to open the file in the browser

## Logs
`> C:\ProgramData\Anaconda3\python.exe c:\Users\vwazho\.vscode-insiders\extensions\ms-python.python-2020.5.74187-dev\pythonFiles\pyvsc-run-isolated.py jupyter notebook --NotebookApp.file_to_run=c:\Users\vwazho\Downloads\test.ipynb`
DavidKutu commented 4 years ago

Thanks for your feedback @zhouwangyang and also thanks you for providing the code that creates the issue, it is incredibly helpful. I was able to reproduce it.

rchiodo commented 4 years ago

This is a dupe of #https://github.com/microsoft/vscode-python/issues/11151. It should be fixed in our latest release.