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⚡ Bolt: optimize unique random number generation in random.html#104

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bolt-optimize-random-gen-17688604493071802811
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⚡ Bolt: optimize unique random number generation in random.html#104
babelman97 wants to merge 1 commit into
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bolt-optimize-random-gen-17688604493071802811

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⚡ Bolt: optimize unique random number generation in random.html

Identified a performance bottleneck in high-density unique random number generation due to rejection sampling collisions (the Coupon Collector's problem).

Implemented a hybrid approach:

  • Low density (< 50%): Retain Set-based rejection sampling for memory efficiency.
  • High density (>= 50%): Implement Sparse Fisher-Yates shuffle using a Map for guaranteed O(count) time complexity.

Performance impact (999,999 numbers in a 1,000,000 range):

  • Logic execution: ~377ms (measured with performance.now())
  • Total browser time: Reduced from ~7.96s to ~2.85s (verified with Playwright)

The optimization ensures consistent performance even as the number of requested unique values approaches the total range size. Verified correctness with tests for low density, high density, and error handling cases.


PR created automatically by Jules for task 17688604493071802811 started by @babelman97

Identified a performance bottleneck in high-density unique random number generation due to rejection sampling collisions (the Coupon Collector's problem).

Implemented a hybrid approach:
- Low density (< 50%): Retain Set-based rejection sampling for memory efficiency.
- High density (>= 50%): Implement Sparse Fisher-Yates shuffle using a Map for guaranteed O(count) time complexity.

Performance impact (999,999 numbers in a 1,000,000 range):
- Logic execution: ~377ms
- Total browser time: ~7.96s -> ~2.85s (limited by DOM string processing)

Verified correctness and performance with Playwright.

Co-authored-by: babelman97 <[email protected]>
@google-labs-jules

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