Carsten Haese wrote: > On Thu, 2007-09-06 at 11:24 -0700, Ian Clark wrote: >> Carsten Haese wrote: >>> def d6(count): >>> return sum(random.randint(1, 6) for die in range(count)) >>> >> My stab at it: >> >> >>> def roll(times=1, sides=6): >> ... return random.randint(times, times*sides) > > That produces an entirely different probability distribution if times>1. > Consider times=2, sides=6. Your example will produce every number > between 2 and 12 uniformly with the same probability, 1 in 11. When > rolling two six-sided dice, the results are not evenly distributed. E.g. > the probability of getting a 2 is only 1 in 36, but the probability of > getting a 7 is 1 in 6. >
Doh. I stand corrected. Probability was never a fun subject for me. :) Ian -- http://mail.python.org/mailman/listinfo/python-list
