vscode-jupyter: not able to start jupyter notebook imported into python using wsl when running as the root user

Environment data

• VS Code version: 1.38.1
• Extension version (available under the Extensions sidebar): Python 2019.9.34911
• OS and version: windows 10.0.17763
• Python version (& distribution if applicable, e.g. Anaconda): python 3.7.3 conda 4.7.12
• Type of virtual environment used (N/A | venv | virtualenv | conda | …): conda
• Relevant/affected Python packages and their versions: XXX
• Jedi or Language Server? (i.e. what is "python.jediEnabled" set to; more info microsoft/vscode-python#3977): jedi, but happens both ways

Expected behaviour

Actual behaviour

run cell for this

#%%
import os

gives

Executing code failed : Error: Jupyter server crashed. Unable to connect. Error code from jupyter: 1

Steps to reproduce:

1. open wsl
2. launch conda environment
3. open vscode
4. create .py file with

#%%
import os

1. run cell

see error message

Logs

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

cwd: /mnt/c/Users/matt/Documents/code/course-v3/nbs/dl-me
##########Linting Output - pylint##########
> ~/anaconda3/bin/python -m jupyter kernelspec list
> ~/anaconda3/bin/python -m jupyter kernelspec list
> ~/anaconda3/bin/python -m jupyter notebook --no-browser --notebook-dir=/tmp/fe814943-4e41-421f-b230-8b5c217dbebe --config=/tmp/fe814943-4e41-421f-b230-8b5c217dbebe/jupyter_notebook_config.py --NotebookApp.iopub_data_rate_limit=10000000000.0
> ~/anaconda3/bin/python -m jupyter kernelspec list
> ~/anaconda3/bin/python -m jupyter kernelspec list
> ~/anaconda3/bin/python -m jupyter notebook --no-browser --notebook-dir=/tmp/ccb8d822-bb60-48d3-9f12-937035982aa7 --config=/tmp/ccb8d822-bb60-48d3-9f12-937035982aa7/jupyter_notebook_config.py --NotebookApp.iopub_data_rate_limit=10000000000.0

i wasn’t able to find Enable source map support for extension debugging advice?

I'm able to get this working on my mac but would love it on my PC for the GPU.