Robert Kern wrote:
> I think we decided long ago that an int32 really is an array of 32-bit
> integers
> and behaves like one.
That would apply to y*y:
>>> x = 999999
>>> y = numpy.array([x])
>>> x*x
999998000001L
So Python ints automatically convert to Python longs on overflow.
>>> y*y
array([-729379967])
numpy int32 arrays wrap...
>>> z = y[0]
>>> type(z)
<type 'numpy.int32'>
>>> z*z
Warning: overflow encountered in long_scalars
-729379967
int32 scalars wrap, but give a warning -- (why the warning here, but not
with the array calculation?)
I'm a bit confused, because I thought that when you extracted a scalar
from an array, you got regular python scalar for the datatypes that are
supported. This made it clear that you always get a numpy Scalar, which,
in a few situations, behaves differently than a seemingly equivalent
Python scalar.
Have I got that right?
-Chris
--
Christopher Barker, Ph.D.
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