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When run in parallel, numpy random number generator can give correlated results across different threads. Added an argument to be able to explicitly pass Randomstate to synalm which should hopefully solve the problem.
see:
https://stackoverflow.com/questions/29854398/seeding-random-number-generators-in-parallel-programs