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There are really two types of RNGs:
Integer
RNGs provide uniformly distributed, unsigned 32 bit integers.
RNGs
use Integer RNGs to provide other kinds of random numbers.
By default, the Integer RNG used is a faithful adaptation of the Mersenne
Twister MT19937
Nishimura (see ACM Transactions on Modeling and Computer Simulation,
Vol. 8, No. 1, January 1998, pp 3-30,
http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html,
http://www.acm.org/pubs/citations/journals/tomacs/1998-8-1/p3-matsumoto/).
This generator has a period of
2^(19937)-1
, passed several stringent
statistical tests (including the
http://stat.fsu.edu/~geo/diehard.html tests), and has speed
comparable to other modern generators.