⚡ Optimize Duplicate Detection with Union-Find#22
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Replaces the manual set merging logic in `detectDuplicates` with a Union-Find (Disjoint Set Union) data structure. This improves the efficiency of merging connected components of near-duplicate nodes, changing the worst-case complexity from O(N^2) or O(N log N) (depending on topology) to nearly linear O(N * alpha(N)). - Added `UnionFind` class with path compression and union by rank. - Refactored `detectDuplicates` to use `UnionFind` for merging SimHash buckets. - Verified correctness with existing tests. - Verified performance with a benchmark (removed before commit).
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Implemented Union-Find data structure to optimize the merging of near-duplicate sets in
detectDuplicates. This replaces the previous manual set merging approach, which could be inefficient for certain cluster topologies. The new implementation uses path compression and union by rank for nearly constant time operations. Confirmed no regressions with existing tests.PR created automatically by Jules for task 16383624269518754344 started by @saurabhsharma2u