Sergey
Sergey
Okey, here is best solution I can think of. It really does not act as I would prefer in all cases but I think it is good enough to be...
Currently the node uses build-in Blender operator which expects selection only in edge mode according to the documentation https://docs.blender.org/api/current/bmesh.ops.html#bmesh.ops.subdivide_edges So to implement this the operator should be recreated on pure...
I don't know the theory too much but as to me the design of Bezier Input node looks weird. With such name of the node it's very unexpected that it...
If Bezier curves are much faster than NURBs then it worth to combine them into splines because as separate segments they are not too much useful.
It's clear that NURBs might have their benefits but they also have their price. I checked Concatenate Curves node, it also converts Beziers into NURBs.
It seems GN is much faster than even FreeCAD. 
I don't like the idea. It looks it will make more difficult to get nodes via menu. Probably another solution could be found. For example let add-ons to insert nodes...
Also we could discuss adding numpy arrays to Sverchok layout. We already has nodes which can generates one and two dimensional arrays (`number range` and `vector math` nodes). The question...
View to data structure from point of view normal socket and dictionary socket:  
It looks like I have found how faces should be represented in numpy: `sv_faces = [[0, 1, 2], [3, 4, 5, 6, 7], [8, 9, 10, 11]]` Numpy faces: `loops...