Inspired by the recent thread about pseudorandom number generators on
python-ideas (where I also mistakenly first wrote this message), I began
to wonder: suppose that I had a pseudorandom number generator that
attempted to generate a nonuniform distribution. Suppose for instance
that it was to generate a 0 bit 2/3 of the time, and a 1 bit 1/3 of the
time.
How would one go about testing this PRNG against an idealized (similarly
biased) PRNG?
- DLD
--
https://mail.python.org/mailman/listinfo/python-list