Uh. I'm sorry about the confusion. Last three items are just O(N) baselines. Python min(), Numpy argmin(), Numpy asarray(). I'll update the code. Thanks!
> A lot of the following doesn't run or returns incorrect results. > To give but one example: > > > def nargsmallest_numpy_argmin(iter, k): > > distances = N.asarray(iter) > > mins = [] > > Could you please provide an up-to-date version? > > Peter > > PS: for an easy way to ensure consistency see timeit/time_all in my previous > post. -- http://mail.python.org/mailman/listinfo/python-list
