Well...you are right, sorry, I just thought 'np.shape(offspr)' result would be enough. Obviously, not!
offspr wasn't actually a numpy array, but a Python list. I'm sorry for the inconvenience but I didn't realize....I'm just changing my code so that I just use numpy arrays, and forgot to change offspr definition :S It's always better not to hurry and check the changes deeper. I'lll put some time in profiling the code properly later on....now I just need to finish this! Any pointer where to start a rationale 'sane profiling techniques'? I love reading details and explanations, but don't have the time to go through hundreds of pages right now, so...some good trade-off between practical and extensive docs? Thanks everybody! On Thu, Sep 10, 2009 at 2:32 PM, Francesc Alted <[email protected]> wrote: > A Thursday 10 September 2009 14:22:57 Dag Sverre Seljebotn escrigué: > > > > > (Also a guard in timeit against CPU frequency scaling errors would be > > > > > > > > > > great :-) Like simply outputting a warning if frequency scaling is > > > > > > > > > > detected). > > > > > > > > Sorry, I don't get this one. > > > > > > I had some trouble getting reliable benchmarks on my own computer until > > > I realised that the power-saving capabilities of my CPU down-throttled > > > the clock speed when it was not in use. Thus if I did two calls to > > > timeit right after one another, the second would always report lower > > > runtime, because the first one started at a lower clock speed. > > :-) Good point > > > > > > Changing a BIOS setting solved this, but it might be a gotcha which e.g. > > > timeit and IPython could report (they could just inspect the CPU > > > information and emit a warning -- or, do something to throttle up the > > > CPU to full speed first). > > -- > > Francesc Alted > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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