weighted-random-item-sampler
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an item can be sampled more than once. The sampling method utilizes a binary sea
non-replacement-weighted-random-item-sampler
A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The sampling method utilizes a binary-search optimization, mak
random-all
Generates random numbers, unique random numbers.
non-replacement-random-item-sampler
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 completio
