However, as a library that could be used by another tool `set_term_title` could be called and hence introduce a vulnerability. The dependency on `ctypes` in `IPython.utils._process_win32` prevents the vulnerable code from ever being reached in the ipython binary. This vulnerability requires that the function `_term_title` be called on Windows in a Python environment where ctypes is not available. Versions prior to 8.1.0 are subject to a command injection vulnerability with very specific prerequisites. IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language. Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Crafter Studio on Linux, MacOS, Windows, x86, ARM, 64 bit allows SQL Injection.This issue affects CrafterCMS v4.0 from 4.0.0 through 4.0.1, and v3.1 from 3.1.0 through 3.1.26. PerspectiveCamera ( position =, up =, children =) DirectionalLight ( color = 'white', position =, intensity = 1 )Īl = p3js. Mesh ( geometry = box, material = mat_red, position =)ĭl = p3js. Mesh ( geometry = tet, material = mat_red, position =) BoxGeometry ( height = 1, width = 1, depth = 1 ) PlainGeometry ( vertices = vertices, faces = faces )īox = p3js. Mesh ( geometry = geom, material = mtl ) LambertMaterial ( color = color, shading = 'FlatShading' ) PlainGeometry ( vertices = vertices, faces = faces ) Maybe that's a possible approach?Ĭone = shapes. They add things like interactive sliders, text inputs, etc. One thing that could work here is the ipywidgets functions.By its design, the scripts are accessible for quick changes. I will have to think about how this makes sense in Jupyter context, as part of the appeal of a Jupyter notebook is that the code is inline with everything else. I really see the appeal of having the ability to change parameters without having to modify the script directly.Is there an example for any other CQ contexts that I could use to learn? Perhaps something illustrating the correct use of CQGI in the command line context? I'm not sure what you'd want to see with this, but I can of course build one.if they want to use numpy, they are responsible for that import. I think this is ok as it would be the case in any context. that they wish to use are the user's own responsibility. others I may be forgetting at the moment.cadquery as cq (or should I import CQGI? I'm unclear on this).I can configure the Jupyter server to always import certain modules, so that the user doesn't have to worry.I can re-define the cqdisplay() function as show().Then, new renders in your notebook spawn a new webgl context, but don't 're-embed' three js (that would get huge very quickly, I think) -> I don't know this for sure, and can't verify at the moment, so take it with a grain of salt I don't have a good enough internet connection at the moment to verify how three.js is loaded with the widget, but I think it's loaded in once via the Jupyter notebook widget mechanism. I am merely using existing tools together! It's clear that some more documentation for this will be good, so I'll have to get on glad you like this! I want to be clear that the widget in use (pythree-js) is not my own work. If that's not working, there is a possibility that ipywidgets isn't yet installed. Run the following command: jupyter nbextension enable -py -sys-prefix widgetsnbextension That's a pretty compelling option for a resource-constrained open source answer will (hopefully) fix your issue.ġ. If modularized correctly, you end up with a desktop GUI that can also be run as a web app. This was the main reason I focused on Electron for awhile. Also, as you've noted, having a web GUI is a big plus. The problem is that those UIs will be more work (at least in my opinion) to create, maintain and distribute in a cross-platform way. ![]() Adam Urbanzyk and I have experimented with other PythonOCC GUIs, and something wxPython or Qt based is probably the best bet for flexibility, stability and efficiency. We've had a lot of interest from the academic sector.Įlectron worked pretty well, but the platform seems to always suffer from high CPU utilization issues. I do still think that there's a large group that would always use Jupyter + CQ, but they're probably not the main group of users. I like Adam's synopsis, and his conclusion that Jupyter should only be a stop-gap UI seems solid.
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