The way I build the wing-span deconstructor, it really allows me to add any arbitrary segmentation if we care
like I can use
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spandim=[0, 0.5,0.75,0.95,0.996, 0.9999,0.9999994,1]
if it has 0 and 1 an the borders it will just give me the linearly predicted shape as well.
or I could use somethink like
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spandim=list(np.linspace(0,1,500))
for something like 500 fragments evenly spaced
For this case, since we want 8 segments even, spandim is just
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spandim=list(np.linspace(0,1,8))
Not defining an spamdim gives me the every tenth scaling shown in my example yesterday