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if you have a + b with a.shape = (2, 1) and b.shape = (2, 2)
it is fine to ask for (a + b)(1, 1)
which will transform into a(1, 1) + b(1, 1)
you need a 0 stride to cancel the 1 index
you ned to checkout version 7.5.0
i.e
x = xt::broadcast(a, xshape(2, 2))(1, 1) should be equivalent to a(1, 1)
meaning you can access a singl broadcasted value
the opposition rests its case ;)
So I proposed a fix for argsort : xtensor-stack/xtensor#2238
A colleague asked me if it was possible to use matplotlib with xeus-cling. I thought about it and I have an idea which (I think) could be easy to implement.
You probably know that a package called matplotlib-cpp exists (https://github.com/lava/matplotlib-cpp) that makes the job using CPython but not into a notebook unfortunately.
But since xeus-python is already in C++ and uses pybind11, I think we could implement a matplotlib wrapper using pybind11 to manage C++ containers and use them with matplotlib inside xeus-python by using its interpreter.
What do you think about the idea ?
A question remains: is it possible to use matplotlib with xeus-python and have the magic %matplotlib ?
You probably know that a package called matplotlib-cpp exists (https://github.com/lava/matplotlib-cpp) that makes the job using CPython but not into a notebook unfortunately.
But since xeus-python is already in C++ and uses pybind11, I think we could implement a matplotlib wrapper using pybind11 to manage C++ containers and use them with matplotlib inside xeus-python by using its interpreter.
What do you think about the idea ?
A question remains: is it possible to use matplotlib with xeus-python and have the magic %matplotlib ?
I didn't see the magics in the documentation
But since xeus-python is already in C++ and uses pybind11, I think we could implement a matplotlib wrapper using pybind11 to manage C++ containers and use them with matplotlib inside xeus-python by using its interpreter. What do you think about the idea ?
Yep, I guess that it would work - but in the end you still need python.
I don't see where the magic matplotlib is implemented. I thought it was part of the kernel
Did you test against v7.5.0? Actually I use VS2017 (MSVC 19...) - damn Visual Studio version numbers! Is VS2019 recommended?
ipycytoscape moving to the cytoscape consortium: https://twitter.com/mari_meir/status/1392052543447085056
Hello voilà people, especially
voila-reveal people @SylvainCorlay @maartenbreddels @martinRenou! I'm co-presenting at ImageXD so I used voila-reveal to make a slideshow (our own dog food, hehe). I noticed that voilà had grown even stronger security-wise and the docs are always very neat! But (using --template=reveal) I couldn't get the actual slideshow (separate slides and navigation arrows to change slides) unless I would add roughly this piece: voila-dashboards/voila-reveal@957dffb somewhere in the templates (whether under PREFIX/share/jupyter/nbconvert/templates/reveal/ or under PREFIX/share/jupyter/voila/templates/reveal/). Adding it coarsely (say, at the top of the existing template files) isn't satisfactory though, because it overwrites all the styling otherwise perfectly rendered by voilà. :eyes:
I'll start again 100% mamba (which wasn't the case, my collaborator having set up the project with venv/pip) ;)
README says
mamba install -c conda-forge voila-reveal
it's da best.