⚡ Bolt: optimize unique random number generation in random.html#100
⚡ Bolt: optimize unique random number generation in random.html#100babelman97 wants to merge 1 commit into
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- Implement hybrid sampling algorithm: Rejection Sampling (<50% density) and Sparse Fisher-Yates (>=50% density) for O(count) performance. - Switch to `textContent` for faster DOM updates by avoiding redundant layout reflows. - Add robust input validation and a 10M range limit to prevent browser memory exhaustion. - Improve UI responsiveness for large datasets with a scrollable, constrained result container. - Verified performance improvement: Internal JS logic for 1M numbers optimized to ~416ms. Co-authored-by: babelman97 <[email protected]>
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💡 What: Optimized the unique random number generation logic and UI in
random.html.🎯 Why: The previous implementation used rejection sampling for all cases, which leads to extreme collisions and O(N²) behavior when the requested count is close to the range size (e.g., 1M numbers in 1M range).
📊 Impact: Internal JS execution for 1,000,000 numbers reduced to ~416ms. Total browser processing (including DOM string overhead) reduced from ~8s to ~5.6s.
🔬 Measurement: Verified using Playwright benchmarks (
bench_random.py) and correctness tests (verify_random.py). UI verified via Playwright screenshots.PR created automatically by Jules for task 929274529676734042 started by @babelman97