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. -- Carsten Haese http://informixdb.sourceforge.net -- http://mail.python.org/mailman/listinfo/python-list
