Test: Minimal error renderer

[amunger]

Refs: #200253

• macOS @isidorn
• linux @aeschli
• windows @bhavyaus

Complexity: 3

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Pre-requisites - If you don't have python set up to run notebooks

1. ensure python is installed on your machine
2. open a workspace where you will be running tests for this TPI
3. Create: new jupyter notebook and run print(1) in a cell.
   a. If the cell runs successfully, you're already set up, otherwise...
4. The kernel picker should open, select "Python Environments..." -> "Create Python Environment..." -> select venv or conda, and whichever version you'd like.

A virtual environment should get created in your workspace with all necessary packages installed, and the cell should run successfully.

Test steps

1. set "notebook.output.minimalErrorRendering": true
2. run cells that produce errors. Here is one that creates a fairly long stack trace: (run %pip install pandas to install pandas first)

import pandas as pd

# create a dataframe with sample data
df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "Gender": ["F", "M", "M"],
    }
)

column = getColumn(df, "wrong")
print(column)

3. The error renderer should just display the error name and message, with an option to view the stack and a link to the error location if it is available (it should be for python).
4. also try running cells with the setting disabled: "notebook.output.minimalErrorRendering": false, and make sure the error renderer looks ok