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commented example

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This commit is contained in:
Adrian Mariano 2021-05-14 16:34:35 -04:00
parent 9501b9da95
commit 465cc40c0a
1 changed files with 3 additions and 3 deletions
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6
vectors.scad
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@ -369,9 +369,9 @@ function vp_nearest(points, tree, p, k) =
// to check all the queries. If you use queries=points and set r to epsilon then
// you can find all of the approximate duplicates in a large list of vectors.
// Example: Finding duplicates in a list of vectors. With exact equality the order of the output is consistent, but with small variations [2,4] could occur in one position and [4,2] in the other one.
v = array_group(rands(0,10,5*3,seed=9),3);
points = [v[0],v[1],v[2],v[3],v[2],v[3],v[3],v[4]];
echo(search_radius(points,points,1e-9)); // Prints [[0],[1],[2,4],[3,5,6],[2,4],[3,5,6],[3,5,6],[7]]
// v = array_group(rands(0,10,5*3,seed=9),3);
// points = [v[0],v[1],v[2],v[3],v[2],v[3],v[3],v[4]];
// echo(search_radius(points,points,1e-9)); // Prints [[0],[1],[2,4],[3,5,6],[2,4],[3,5,6],[3,5,6],[7]]
//
function search_radius(points, queries, r, leafsize=25) =
assert(is_matrix(points),"Invalid points list")