I have list of of N Vehicle objects - the only possible vehicles are cars, bikes, trucks.
I want to select an object from the list with a probability of : cars 0.7, bikes 0.3, trucks 0.1. I've currently implemented this by creating another list in which each car object from the original list appears 7 times, each bike 3 times and each truck once. I then pick at random from that list. This works but seems very clunky to me. Can anyone suggest a better data structure which would support the 'weighted randomness' I'm after ? I'm not fixed on the idea of using a list - could be a dictionary, tree whatever . Thanks in advance. R. -- http://mail.python.org/mailman/listinfo/python-list
