[Numpy-discussion] long(a) vs a.__long__() for scalar arrays
Charles R Harris
Wed Feb 10 00:28:39 CST 2010
On Tue, Feb 9, 2010 at 11:12 PM, David Cournapeau <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? I'm curious if
np.long the same as long?
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