[Matrix-SIG] -1%2 = 1 and array([-1])%2 = array([-1]) Why?

[Konrad Hinsen]

> I just tried the following:
> 
> >>> -1%2
> 1
> >>> array([-1])%2
> array([-1])
> 
> I would have expected array([+1]).
> 
> What is the philosophical reason Numerical should give another result than
> nude python?

Python has a well-defined rule for the modulo operator. NumPy just
applies the C modulo operator, which if I remember correctly gives
different results on different machines, guaranteeing only that
b*(a/b) + (a%b) == a.  I have pointed out the different outcome a while
ago, but noone else seemed to see this as a problem.
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