⚡ Bolt: [performance improvement]#42
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Implemented a hybrid sampling strategy in `random.html` to avoid the "Coupon Collector's Problem" when high-density unique selections are requested. - Use rejection sampling (Set) for sparse requests (< 50% range). - Use exclusion sampling (array swap and pop) for dense requests (> 50% range). - Provides a ~6.5x speedup for high-density scenarios (e.g., 9,999/10,000). Co-authored-by: babelman97 <186798789+babelman97@users.noreply.github.com>
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💡 What: Optimized the unique random number generation logic in
random.htmlby introducing a hybrid sampling strategy.🎯 Why: The previous implementation used rejection sampling exclusively. This suffers from the "Coupon Collector's Problem" where picking the last few unique values from a range takes exponentially more attempts, causing significant performance degradation and potential UI freezes in high-density requests.
📊 Impact: Benchmarks show an average speedup of ~6.5x for high-density cases (picking 9,999 unique numbers from a range of 10,000), reducing execution time from ~5.0ms to ~0.77ms.
🔬 Measurement: Verified with a Playwright script ensuring correctness (all numbers unique and in range) and measured using a high-amplification benchmark script (100 iterations).
PR created automatically by Jules for task 16241391000612632402 started by @babelman97