⚡ Bolt: Optimized random number generation with hybrid sampling#56
⚡ Bolt: Optimized random number generation with hybrid sampling#56babelman97 wants to merge 1 commit into
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Implemented a hybrid sampling strategy in random.html to avoid the Coupon Collector's Problem performance bottleneck. - Uses rejection sampling for sparse requests (count <= 50% of range) - Uses exclusion-based sampling + Fisher-Yates shuffle for dense requests - Documented ~4.8x speedup for extreme density scenarios. Co-authored-by: babelman97 <186798789+babelman97@users.noreply.github.com>
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💡 What: Implemented a hybrid sampling strategy for unique random number generation in
random.html.🎯 Why: The original rejection sampling approach (using a
Setandwhileloop) suffers from the "Coupon Collector's Problem", where the probability of finding a new unique number decreases exponentially as the set fills up. This leads to catastrophic performance collapse and potential browser hangs for high-density requests.📊 Impact:
🔬 Measurement: Verified using a Playwright-based benchmark script measuring pure JavaScript execution time inside the browser environment. Functionality verified to ensure numbers remain unique and order remains random via Fisher-Yates shuffle.
PR created automatically by Jules for task 8989236215375858009 started by @babelman97