Use rng, not seed #48
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afmagee42
approved these changes
Dec 19, 2024
ringvax/app.py
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| @@ -171,8 +172,12 @@ def app(): | |||
| sims = [] | |||
| with st.spinner("Running simulation..."): | |||
| tic = time.perf_counter() | |||
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| # initialize rngs | |||
| rngs = numpy.random.default_rng(seed).spawn(nsim) | |||
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I've been waiting for a chance to use this
I spent a lot of time figuring out how this works for parallelizable simulations; see "Reproducible random number generation (RNG)" in https://cran.r-project.org/web/packages/furrr/furrr.pdf
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numpy.random.GeneratortoSimulation, rather than an integer seed.spawn()to create the rngs for each simulation