On 3/1/07, Mark P. Miller <[EMAIL PROTECTED]> wrote:
One more note (this perhaps may need a separate topic): I've been using the Enthought python edition that contains python 2.4.3 and numpy 0.9.9.2706. After Robert Kern pointed out that I should try numpy 1.0.1, I went ahead and installed it (downloaded a few hours ago: "numpy-1.0.1.win32-py2.4.exe"). Now however, I'm seeing perhaps a more serious problem: The test program that I'm working with went from taking ~80 seconds to run to taking over 10 minutes to run. I've rolled back to my old numpy version and confirmed that the old version was much faster. I also tried re-installing 1.0.1, and once again am seeing much slower runtimes. My code contains numpy arrays where items are accessed on an element-by-element basis. I also make use of some of numpy's random number generators. Just thought I'd point this out, -Mark
Seems odd. Some example code would help us see what is going. Chuck
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