On Di, 2014-02-18 at 11:44 +0000, Sturla Molden wrote: > Robert Kern <robert.k...@gmail.com> wrote: > > > We're talking about numpy.power(), not just ndarray.__pow__(). The > > equivalence of the two is indeed an implementation detail, but I do > > think that it is useful to maintain the equivalence. If we didn't, it > > would be the only exception, to my knowledge. > > But in this case it makes sence. > > math.pow(2,2) and 2**2 does not do the same. That is how Python behaves. >
To be honest, that comparison only makes half sense to me. `math` are all float (double precision) functions, basically you could just as well call the library `fmath`... I am -0.5 right now. `__pow__` already has special behaviour as opposed to `np.power`, but these are for speed and don't change behaviour. T he `uint` idea seems to just make things more complicated. If I am aware of uint vs int, I am already aware I can just cast to float. - Sebastian > Sturla > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
