⚡ Bolt: Optimize unique random number generation in random.html#106
⚡ Bolt: Optimize unique random number generation in random.html#106babelman97 wants to merge 1 commit into
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- Implement hybrid sampling: Set-based rejection sampling (<50% density) and Map-based Sparse Fisher-Yates (>=50% density). - Improve performance from O(N^2) to O(N) for high-density requests. - Add CSS for scrollable results and word-wrapping to prevent UI lag. - Fix validation logic to allow single-value ranges. - Add safety cap of 1,000,000 for count and range. - Initialize .jules/bolt.md performance journal. Co-authored-by: babelman97 <[email protected]>
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💡 What: Replaced pure rejection sampling with a hybrid approach (Set-based rejection sampling for < 50% density, Map-based Sparse Fisher-Yates for >= 50% density) in
random.html. Also improved the UI with scrollable results and fixed a validation bug.🎯 Why: The original rejection sampling algorithm becomes extremely inefficient (O(N²) or worse) at high density due to collision frequency. Sparse Fisher-Yates ensures O(N) time complexity even when picking nearly all numbers from a range.
📊 Impact:
max-heightandoverflow-yto the results container to prevent layout thrashing and maintain browser responsiveness.🔬 Measurement: Verified using a Node.js verification script and Playwright frontend verification. Logic benchmarked with
performance.now().PR created automatically by Jules for task 2138554004120415133 started by @babelman97