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'> ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
