MinionRNG is a high-performance pseudo-random-number library suitable for scientific simulation. It is based on the xoshiro256** algorithm developed by David Blackman and Sebastiano Vigna.
Copyright © 2019 Reed A. Cartwright, PhD <reed@cartwrig.ht>
See below for example usage.
#include<cstdio>
#include"minion.hpp"// create a PRNG object with default seed
minion::Random mrand;
intmain() {
// create a 64-bit pre-seed using (1) well-mixed bits, (2) pid, (3) time, and (4) std::random_deviceuint64_t seed64 = minion::create_uint64_seed(minion::create_seed_seq());
// reduce seed to 31 bits (not needed, but easier for users to work with)int seed = seed64 >> 33;
// reseed mrand
mrand.seed(seed);
printf("Seed is %d\n",seed);
// generate random valuesfor(int i=0;i<1000;++i) {
// uniformly distributed integers between [0,2^64)uint64_t u = mrand.u64();
// uniformly distributed floating-point numbers between (0,1)double f = mrand.f52();
printf("%d %lu %f\n", i, u, f);
}
return0;
}