[SciPy-User] overflow

[Charles R Harris]

On Sat, Jul 10, 2010 at 5:00 PM, Mr Nilsson <super.inframan at gmail.com>wrote:

> Hm well the reason im going 8/16 bit in the first place is to conserve
> memory, so going back to float isnt optimal..
> Is there a reason numpy overflows in the first place? Coming from an
> image processing background i cant really think of any situation where
> it would be preferable, possibly other than performance?
>
>
It's what c does, c integers are modulo 2**(whatever). You could write a
special purpose ufunc for scaling arrays if you really need that option.
There was a simple example here using cython a while back <looks>, OK, here
it is on the cython wiki
CreatingUFuncs<http://wiki.cython.org/MarkLodato/CreatingUfuncs>.
So you might want to ask on the cython list since the example might be a
touch on the sketchy side...

Chuck
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