scalar object bug or feature?
Christopher Hanley
chanley at stsci.edu
Wed Oct 18 14:10:08 CDT 2006
Greetings,
I can't decide if the following is a bug or feature. Numpy scalars are
allowed to overflow silently while numarray upcasts to a larger python
type. I guess my biggest problem is that the overflow occurs silently.
In any case, is this known and expected behavior?
Thanks,
Chris
NUMARRAY example:
In [1]: import numarray as n
In [2]: a = n.array([2200,14000],type=n.UInt32)
In [3]: a0= a[0]
In [4]: a1 = a[1]
In [5]: adiff = a0-a1
In [6]: print a0,a1,adiff
2200 14000 -11800
In [7]: print type(a0),type(a1),type(adiff)
<type 'long'> <type 'long'> <type 'long'>
NUMPY example:
In [1]: import numpy as n
In [2]: a = n.array([2200,14000],dtype=n.uint32)
In [3]: a0= a[0]
In [4]: a1 = a[1]
In [5]: adiff = a0-a1
In [6]: print a0,a1,adiff
2200 14000 4294955496
In [7]: print type(a0),type(a1),type(adiff)
<type 'numpy.uint32'> <type 'numpy.uint32'> <type 'numpy.uint32'>
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