I need a \'good\' way to initialize the pseudo-random number generator in C++. I\'ve found an article that states:
In order to generate random-like
C++11 random_device
If you need reasonable quality then you should not be using rand() in the first place; you should use the
library. It provides lots of great functionality like a variety of engines for different quality/size/performance trade-offs, re-entrancy, and pre-defined distributions so you don't end up getting them wrong. It may even provide easy access to non-deterministic random data, (e.g., /dev/random), depending on your implementation.
#include
#include
int main() {
std::random_device r;
std::seed_seq seed{r(), r(), r(), r(), r(), r(), r(), r()};
std::mt19937 eng(seed);
std::uniform_int_distribution<> dist{1,100};
for (int i=0; i<50; ++i)
std::cout << dist(eng) << '\n';
}
eng
is a source of randomness, here a built-in implementation of mersenne twister. We seed it using random_device, which in any decent implementation will be a non-determanistic RNG, and seed_seq to combine more than 32-bits of random data. For example in libc++ random_device accesses /dev/urandom by default (though you can give it another file to access instead).
Next we create a distribution such that, given a source of randomness, repeated calls to the distribution will produce a uniform distribution of ints from 1 to 100. Then we proceed to using the distribution repeatedly and printing the results.