perf: Use Python builtin RNG to generate Bernoulli samples #36
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For steps of 100, this improves the time for
CovidAgent.stepfrom 20 s to 8.9 s. Also, this makes it easy to use a batch of pre-generated uniform random numbers. As in, there could be a follow-up PR that further speeds upbernoulli_rvs.But upon benchmarking, the
bernoulli_rvsis no longer the most time-consuming part ofCovidAgent.step. It becomesCovidAgent.move. I measured the time forCovidAgent.move; most of it is due topoisson.rvs.