Platform-independent random state in scikit-learn split_train_test

does setting a specific random seed (random_state) when splitting train/test datasets using scikit-learn produce the same initialization of the random number generator (i.e., produces same pseudo-random numbers) over different platforms - for instance, over different cloud computing instances?

Thanks!