I stand corrected, it makes perfect sense that the Berkeley DB should be
released using the Berkeley license :) I don't know why I thought
That being said, wasn't there some issue with making the Python License
GPL compatible for issues like these?
From http Thu Jan 15 21:26:33 2004
From: http (Paul Rubin)
Date: 15 Jan 2004 12:26:33 -0800
Subject: python & mathematical methods of picking numbers at random
Bart Nessux <bart_nessux at hotmail.com> writes:
I am using method 'a' below to pick 25 names from a pool of 225. A
co-worker is using method 'b' by running it 25 times and throwing out
the winning name (names are associated with numbers) after each run
and then re-counting the list and doing it all over again.
My boss thinks that 'b' is somehow less fair than 'a',
Both are the same, as you can see by calculating the probability of
any given name being selected. What is the application, and the
computer environment? You may also need to worry about correlations
in the underlying Mersenne Twister PRNG. If the application is
something where randomness is very important (you're picking winners
for a big lottery or something) then you should use a better RNG.