> One thing MM would benefit from would be a weighted sampler. > > [...] > > What I need is a replacement for random.shuffle() that takes a list of > tuples: (something, weight). And returns a list of somethings that > was generated with a statistical sampling based on weight. > > Now, this is _probably_ a simple thing to do; my college number theory > professor would mock me for having not "just done it" myself, but hey > - I took that class _twice_ before passing it - I don't trust my > skills in this area to get it right. Here is a crude approach: Say A, B and C are mirrors having bandwidth of x,y and z Mbps respectively. So lets have an array which has: A, A, A... (x times), B, B, B... (y times), C, C, C... (z times), and then generate a random number within [0, x+y+z] and use that as an index to fetch a mirror from the array. Happy hacking, Debarshi -- "From what we get, we can make a living; what we give, however, makes a life." -- Arthur Ashe _______________________________________________ Fedora-infrastructure-list mailing list Fedora-infrastructure-list@xxxxxxxxxx https://www.redhat.com/mailman/listinfo/fedora-infrastructure-list
