69e27b4855
The previous implementation used KDTree duplicate search with BLI_kdtree_3d_calc_duplicates_fast(). The survivor was always one of the input vertices, not the centroid of the cluster. This caused cases where merging a line of vertices did not collapse to their average position, resulting in jagged loops. Now vertices within the threshold are clustered, their centroid is computed, and the chosen survivor is snapped to this centroid. This ensures predictable and consistent merge results. Ref !145851
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