[downloadnb-comparison] external links in footnotes not working in both RST and MYST notebooks

[shlff]

Hi @mmcky , the 4th issue I find is

• external links in footnotes are not working in both RST and MYST versions of all notebooks with footnotes.

For example, please find a screenshot for lecture 04_linear_algebra (left: RST, right: MYST):

The issue occurs in the following lectures (TBD):

[mmcky]

thanks @shlff -- looks like markdown isn't rendered in the list -- is the link formed over two lines? If you edit the notebook can you get the link to work. If so please add solution here.

[shlff]

Thanks @mmcky . Please see the whole part of this footnote

<p><a id=fn-mdt href=#fn-mdt-link><strong>[1]</strong></a> Although there is a specialized matrix data type defined in NumPy, it’s more standard to work with ordinary NumPy arrays. See [this discussion](https://python-programming.quantecon.org/numpy.html#matrix-multiplication).

It seems that the link does not form over two lines.

[mmcky]

@shlff would you mind copying the notebook here? Your right -- not split over lines. I wonder why jupyter isn't picking up the link in that context.

[shlff]

Sure @mmcky . Please find the notebook here.

[mmcky]

hey @shlff it looks like the leading html causes the jupyter notebook to not parse the paragraph as markdown

Perhaps we should use:

**Footnotes**

<p><a id=fn-mdt href=#fn-mdt-link><strong>[1]</strong></a> 
    
Although there is a specialized matrix data type defined in NumPy, it’s more standard to work with ordinary NumPy arrays. See [this discussion](https://python-programming.quantecon.org/numpy.html#matrix-multiplication).

<p><a id=cfn href=#cfn-link><strong>[2]</strong></a> 
    
Suppose that $ \|S \| < 1 $. Take any nonzero vector $ x $, and let $ r := \|x\| $. We have $ \| Sx \| = r \| S (x/r) \| \leq r \| S \| < r = \| x\| $. Hence every point is pulled towards the origin.

[mmcky]

Actually we should probably update sphinx-tojupyter to use markdown

**Footnotes**

**[1]** Although there is a specialized matrix data type defined in NumPy, it’s more standard to work with ordinary NumPy arrays. See [this discussion](https://python-programming.quantecon.org/numpy.html#matrix-multiplication).

**[2]** Suppose that $ \|S \| < 1 $. Take any nonzero vector $ x $, and let $ r := \|x\| $. We have $ \| Sx \| = r \| S (x/r) \| \leq r \| S \| < r = \| x\| $. Hence every point is pulled towards the origin.

[shlff]

I love the 2nd change, @mmcky . Do you think we should manually update the leading in footnotes of all lectures with markdown?

[mmcky]

This will need to be done in sphinx-tojupyter as the download notebook is generated from the source.

[shlff]

Thanks @mmcky , this issue has not been solved yet and please see the screenshot of the notebook for lecture 04_linear_algebra downloaded from the site:

[shlff]

This issue still exists.