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sampler

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An efficient random item sampler that ensures O(1) sampling complexity, and equal selection probability for all items across cycles. Each cycle ensures unique, non-repeating item selections, with each item sampled only once per cycle. Upon cycle completion, the sampler automatically refreshes, initiating a new cycle to repeat the process.

  • Updated Nov 10, 2024
  • TypeScript

A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight. The sampling method utilizes a binary search optimization, making it suitable for performance-demanding applications where the set of items is large and the sampling frequency is high.

  • Updated Oct 26, 2024
  • TypeScript

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