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[julia mode] Typing .0 breaks jupyter cell #6288

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carstenbauer opened this issue May 20, 2020 · 5 comments
Open

[julia mode] Typing .0 breaks jupyter cell #6288

carstenbauer opened this issue May 20, 2020 · 5 comments

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@carstenbauer
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carstenbauer commented May 20, 2020

Similar to #6064, my jupyter cell stops to function properly as soon as I type .0. Concretely, as soon as I type .0 any further input isn't displayed anymore. This can also not be "undone" by trying to delete the .0 again. The cell is just completely irresponsive.

Note that 0.0 (with a prefixing zero before the decimal separator) works just fine. Also note that if I type something blindly and reload the notebook webpage, the text appears in the correct place, although without syntax highlighting.

I'm on macOS 10.15.4 Catalina, Safari 13.1 (also happens in Chrome 81.0.4044.138), Julia 1.4.1 and

➜  nbconfig jupyter --version
jupyter core     : 4.6.1
jupyter-notebook : 6.0.3
qtconsole        : 4.6.0
ipython          : 7.12.0
ipykernel        : 5.1.4
jupyter client   : 5.3.4
jupyter lab      : 1.2.6
nbconvert        : 5.6.1
ipywidgets       : 7.5.1
nbformat         : 5.0.4
traitlets        : 4.3.3

(I'm not using jupyter lab)

@marijnh
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marijnh commented May 21, 2020

This doesn't appear to happen in the mode demo, so it rather sounds like Jupyter is still on an old, unfixed version of the mode.

@carstenbauer
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@marijnh I guess that's good news. Do you know if https://github.com/jupyter/notebook is the right repository to file an issue in that regard?

@carstenbauer
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carstenbauer commented May 22, 2020

I realised that in jupyter lab everything works fine (the syntax highlighting breaks, but ok) so it's only jupyter notebook that's affected. I opened an issue over there.

82641169-34f16f80-9c0c-11ea-8e5d-a6c5b1038313

@fonsp
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fonsp commented Jun 9, 2020

@marijnh I guess that's good news. Do you know if https://github.com/jupyter/notebook is the right repository to file an issue in that regard?

Yes it is!

@stevengj
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This should be fixed in the next Jupyter release (hence the jupyter issue was closed).

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