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# nd_line interpolate points on an n-dimensional line by euclidean arc length
### Usage from nd_line import nd_line
ln = nd_line(points) (where points is an array like with rows = points and columns = dimensions. An array with three points in 4 dimensions would have 3 rows and 4 colums)
methods:
ln.interp(dist) returns a point dist length along the arc of the line
ln.interp_rat(ratio) ratio should be a value between 0 and 1, returns a value ratio*length along the line
ln.splineify(samples) generates a new line from a spline approximation, occurs in place, use samples to specify how many points will be sampled from the splines to generate the new line
attributes:
ln.points: the points of the line
ln.length: the length of the line
ln.type: linear if not spline approximated, spline otherwise
### Notes
Currently the interp method is not particularly efficient, and requires each point to be sampled individually, in the future I plan to address both of these limitations
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