Threads and stdlib Random

[sylvaticus]

This works as well, I like I can choose to have a (a) random script, (b) deterministic script with individually random functions (same run of the script/model, same output) or (c) deterministic functions (same call with same input, same output), but it requires Julia >= 1.5:

Multithreaded random: different behaviour in Julia >= 1.5 (not just different stream)

Hi, I just realised that my solution below for multithreaded random number generators works only in Julia >= 1.5. In particular the test of “CASE A” fails, i.e. the two repetitions issue the same number. Is there a way to get the same framework working on Julia <= 1.4 ? using Random, Test, Future, Statistics FIXEDRNG = MersenneTwister(123) function generateParallelRngs(rng::AbstractRNG, n::Integer) step = rand(rng,big(10)^20:big(10)^40) # making the step random too ! rngs = Vector{U…