2009/1/20 Neal Becker <ndbeck...@gmail.com>: > I tried a little experiment, implementing some code in numpy (usually I > build modules in c++ to interface to python). Since these operations are > all large vectors, I hoped it would be reasonably efficient. > > The code in question is simple. It is a model of an amplifier, modeled by > it's AM/AM and AM/PM characteristics. > > The function in question is the __call__ operator. The test program plots a > spectrum, calling this operator 1024 times each time with a vector of 4096.
If you want to find out what lines in that function are taking the most time, you can try my line_profiler module: http://www.enthought.com/~rkern/cgi-bin/hgwebdir.cgi/line_profiler/ That might give us a better idea in the absence of a self-contained example. -- 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
