The tests are probabilistic, so it is possible that if the
pseudo-random number generator changes in the future, we might
get results that fail. They work for the current PRNG, though,
and use boundaries for the number of values of different types
such that there should only be about a 1% probability that the
tests would fail by chance assuming that the PRNG returns
evenly distributed values.