[Numpy-discussion] long(a) vs a.__long__() for scalar arrays
Wed Feb 10 00:30:52 CST 2010
Charles R Harris wrote:
> On Tue, Feb 9, 2010 at 11:12 PM, David Cournapeau <firstname.lastname@example.org
> <mailto:email@example.com>> wrote:
> I am a bit puzzled by the protocol for long(a) where a is a scalar
> array. For example, for a = np.float128(1), I was expecting long(a) to
> call a.__long__, but it does not look like it is the case. int(a) does
> not call a.__int__ either. Where does the long conversion happen in
> numpy for scalar arrays ?
> How did you tell, did you have print statements in the call?
Indirectly, yes (I was looking into #1395).
> I'm curious
> if np.long the same as long?
At least, np.long(a) does not call a.__long__ either. I am on a 64 bits
machine, BTW, but I don't think it matters since I have the same problem
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