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An extension for rendering Bokeh content in JupyterLab notebooks

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Bumps [moment](https://github.com/moment/moment) from 2.29.2 to 2.29.4. Changelog Sourced from moment's changelog. 2.29.4 Release Jul 6, 2022 #6015 [bugfix] Fix ReDoS in preprocessRFC2822 regex 2.29.3 Full changelog Release Apr 17, 2022...

dependencies

I'm pretty sure it is not the best way to fix #159, but it works.

status: WIP

Is it possible for a BokehModel to stretch by width if there is an ipywidget sitting next to it? ![image](https://user-images.githubusercontent.com/170910/183375269-838df936-241f-4c0c-9120-81dd63b766d2.png) (`sizing_mode='stretch_width'` gives the same output)

``` python from jupyter_bokeh import BokehModel from bokeh.models import RadioGroup def update(event): print(event) LABELS = ["Option 1", "Option 2", "Option 3"] radio_group = RadioGroup(labels=LABELS, active=1) radio_group.on_click(update) BokehModel(radio_group) ``` After a...

The following sequence of commands leads to a strangely looking error message: ``` python from bokeh.io import output_notebook from bokeh.resources import Resources, INLINE from jupyter_bokeh import BokehModel from bokeh.plotting import...

Hi, The event callbacks registered before a call to `BokehModel` work fine: ``` python def f(event): print('hi') b = bm.Button() b.on_click(f) w = BokehModel(b) w ``` Is it possible to...

type: feature

``` python p1 = figure() p2 = figure(x_range=p1.x_range) ipw.VBox([BokehModel(p1), BokehModel(p2)]) ``` generates `RuntimeError: Models must be owned by only a single document, DataRange1d(id='14198', ...) is already in a doc` Is...

type: feature

Sometimes bokehjs-jupyterlab integration doesn't recognise that bokehjs was already loaded, leaving "Loading BokehJS..." on screen, instead of acknowledging it was loaded and its version number. This happens when more than...

type: bug

After doing `pip install jupyter_bokeh`, `jupyter notebook`, then running the following in a notebook cell: ```py from bokeh.plotting import figure from jupyter_bokeh import BokehModel x = [1, 2, 3, 4,...

As always, thanks for jupyter-bokeh! While catching up [conda-forge](https://github.com/conda-forge/jupyter_bokeh-feedstock/pull/6) (sorry the bot hit a snag, i wasn't subscribed to releases here... am now!) I noted a few things which are...

type: task