Created
April 18, 2018 14:54
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import math | |
from mpmath import * | |
def euclidean_distance(p1, p2): | |
return math.sqrt(sum([(a - b) ** 2 for a, b in zip(p1, p2)])) | |
p1 = ( -1.0, 0.0, 1.0 ) | |
p2 = ( 1.0, 0.0, -1.0 ) | |
p3 = ( 1.0, 0.0, 1.0 ) | |
r1 = [ 90.0, 0.0, 0.0 ] | |
r2 = [ 0.0, 90.0, 0.0 ] | |
r3 = [ 0.0, 0.0, 90.0 ] | |
points = [ p1, p2, p3 ] | |
rotations = [ r1, r2, r3 ] | |
trMatrix = [] | |
roMatrix = [] | |
blendVal = [ -0.5, 0.0, 0.5 ] | |
for p in points: | |
vals = [ euclidean_distance(p, x) for x in points ] | |
trMatrix.append( vals ) | |
for r in rotations: | |
roMatrix.append( r ) | |
resultsM = [] | |
for l in xrange( len( rotations ) ): | |
resultsM.append( lu_solve( matrix(trMatrix),matrix(rotations[l]) ) ) | |
for x in xrange( len(resultsM) ): | |
print [ resultsM[x][m] for m in range( len(resultsM) )] |
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