Hello everyone,
My friend and I are working on a project and have encountered some data structure issues. Here’s a brief explanation of what we’re doing:
We’re abstracting the Bouligand pattern from nature. To do this, we create a series of lines (which we call fibers) and stack them on top of each other.
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We have 12 planes, each containing 12 fibers.
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Every second plane is rotated by 90 degrees (so planes 2, 4, 6, 8, 10, and 12 are rotated 90°).
From this primitive setup, we extract six “body parts”:
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Body Part 1: Stacked planes with indices 0, 1, 6, 7
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Body Part 2: Stacked planes with indices 2, 3, 8, 9
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Body Part 3: Stacked planes with indices 4, 5, 10, 11
For Body Parts 4, 5, and 6, we focus on the points of the fibers (each fiber is divided into three points: start, mid, and end — before any plane rotation):
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Body Part 4: All end points on each fiber
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Body Part 5: All mid points on each fiber
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Body Part 6: All start points on each fiber
Our goal is to perform six different transformations (such as move or rotate) on random body parts.
For example: Rotate Body Part 1 and Body Part 3 by 30 degrees.
This manipulation rotates some of the planes. After that, we proceed with the next transformation (there will be six in total), always taking the previous transformation state into account.
Have a look on our script. Ideally we would like having a ‘‘linked system’’ where every change (on points or planes) updates the whole system, but apparently this seems to be so hard to be done.
Any help is very welcomed 
Question.gh (46.1 KB)