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From: <co...@ph...> - 2006-02-14 04:13:08
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Gary Ruben <gr...@bi...> writes: > Tim Hochberg wrote: > <snip> >> However, I'm not convinced this is a good idea for numpy. This would >> introduce a discontinuity in a**b that could cause problems in some >> cases. If, for instance, one were running an iterative solver of >> some sort (something I've been known to do), and b was a free >> variable, it could get stuck at b = 2 since things would go >> nonmonotonic there. > > I don't quite understand the problem here. Tim says Python special > cases integer powers but then talks about the problem when b is a > floating type. I think special casing x**2 and maybe even x**3 when > the power is an integer is still a good idea. Well, what I had done with Numeric did special case x**0, x**1, x**(-1), x**0.5, x**2, x**3, x**4, and x**5, and only when the exponent was a scalar (so x**y where y was an array wouldn't be). I think this is very useful, as I don't want to microoptimize my code to x*x instead of x**2. The reason for just scalar exponents was so choosing how to do the power was lifted out of the inner loop. With that, x**2 was as fast as x*x. -- |>|\/|< /--------------------------------------------------------------------------\ |David M. Cooke http://arbutus.physics.mcmaster.ca/dmc/ |co...@ph... |