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Fastest approach for this loop

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Which approach is fastest for this loop?

Routed across multiple top models in parallel. The fastest path is a single pass with a seen-set, so each item is handled once:

solution.pyCopy

for x in items:
    if x in seen: continue
    seen[x] = run(x)

That brings it from O(n²) down to O(n).

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