On Thu, 03 Aug 2006 17:43:55 +0200 "Nils Wagner" <nwagner@iam.uni-stuttgart.de> wrote:

Hi all,

Is there a way to count flops in numpy/scipy ? I mean, how can I compare two algorithms ?

Easiest is to just time them. Realistically, that's what you're worried about, not how many flops they take. If you need the O(.) behaviour, plot it for several sizes of inputs, and see what it fits to. If you really want to count flops, you've got two options: make a number type that keeps track of operations done on it, then use object arrays, or make an array class that does the same; you'll likely need __getitem__ to return a number type like in the first case. Or something like that. You'll run into trouble if you can't pass arbitrary arrays, or object arrays. -- |>|\/|< /--------------------------------------------------------------------------\ |David M. Cooke http://arbutus.physics.mcmaster.ca/dmc/ |cookedm@physics.mcmaster.ca