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array_group -> list_to_matrix fixes
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@@ -363,7 +363,7 @@ function furthest_point(pt, points) =
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// Example: A set of four queries to find points within 1 unit of the query. The circles show the search region and all have radius 1.
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// $fn=32;
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// k = 2000;
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// points = array_group(rands(0,10,k*2,seed=13333),2);
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// points = list_to_matrix(rands(0,10,k*2,seed=13333),2);
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// queries = [for(i=[3,7],j=[3,7]) [i,j]];
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// search_ind = vector_search(queries, points, 1);
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// move_copies(points) circle(r=.08);
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@@ -374,7 +374,7 @@ function furthest_point(pt, points) =
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// Example: when a series of search with different radius are needed, its is faster to pre-compute the tree
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// $fn=32;
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// k = 2000;
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// points = array_group(rands(0,10,k*2),2,seed=13333);
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// points = list_to_matrix(rands(0,10,k*2),2,seed=13333);
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// queries1 = [for(i=[3,7]) [i,i]];
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// queries2 = [for(i=[3,7]) [10-i,i]];
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// r1 = 1;
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@@ -517,7 +517,7 @@ function _bt_tree(points, ind, leafsize=25) =
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// Example: Four queries to find the 15 nearest points. The circles show the radius defined by the most distant query result. Note they are different for each query.
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// $fn=32;
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// k = 1000;
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// points = array_group(rands(0,10,k*2,seed=13333),2);
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// points = list_to_matrix(rands(0,10,k*2,seed=13333),2);
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// tree = vector_search_tree(points);
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// queries = [for(i=[3,7],j=[3,7]) [i,j]];
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// search_ind = [for(q=queries) vector_nearest(q, 15, tree)];
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