On Mon, Oct 20, 2008 at 16:13, Lane Brooks <[EMAIL PROTECTED]> wrote: > Thanks for all this valuable feedback. I read your blog post and like the > idea but not the overhead. I guess my initial approach of doing a memory > handoff to the numpy Array was a bit naive. It seems to be working, but I > guess that is because numpy uses free to deallocate memory?
It uses PyMem_Free() (except for a few places that I've just noticed) which itself uses free() *except* if Python is compiled with -DPYMALLOC_DEBUG, in which case it uses its own debugging implementations. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
