My experiments with a pure upstream jupyterlab show that this is not reproducible there. Namely: 1) clean up cache of your browser 2) create a fresh venv and pip install jupyterlab there, and the corresponding mathjax package:
$ python3 -m venv foo
$. foo/bin/activate
(foo) $ pip install jupyterlab
(foo) $ pip install jupyterlab-mathjax3
3) Disconnect the internet. Launch notebook
(foo) $ jupyterlab textest.ipynb # attached
4) Try evaluating cells (they all show nice mathjax - probably from a
system package, but certainly not from a CDN)
-----------------------------------------------------------------
IMHO it's yet another reason for stopping to vendor Jupyter(lab), and just
using what's readily provided by the pure upstream!
Dima
On Friday, February 16, 2024 at 9:50:46 AM UTC Eric Gourgoulhon wrote:
> Hi Nils,
>
> Le vendredi 16 février 2024 à 04:37:28 UTC+1, Nils Bruin a écrit :
>
> On Thursday 15 February 2024 at 17:02:14 UTC-8 Dima Pasechnik wrote:
>
> but that's sphinx (Python), not jupyter.
>
> I see. The page I linked to is from Jupyter{book} which is, despite the
> similarity in name, not the jupyter notebook server.
>
>
> You are not alone: I did exactly the same thing ;-) After a google-search
> for "jupyter custom mathjax", I ended up on the same page and for a second
> I thought it contains the solution, before realizing that this page is
> dedicated to the Sphinx generation of a book about Jupyter, not to Jupyter
> itself.
>
> Eric.
>
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textst.ipynb
Description: application/ipynb
