Brendan Simons wrote:

>  Is this behavior expected?  If so, why am I wrong in assuming these  
>  statements should all return the same result?
> 
>  PyCrust 0.9.5 - The Flakiest Python Shell
>  Python 2.4.1 (#2, Mar 31 2005, 00:05:10)
>  [GCC 3.3 20030304 (Apple Computer, Inc. build 1666)] on darwin
>  Type "help", "copyright", "credits" or "license" for more information.
>  >>> import numpy
>  >>> colVect = numpy.ones((3, 1))
>  >>> colVect * 5.3
>  array([[ 5.3],
>         [ 5.3],
>         [ 5.3]])
>  >>> numpy.dot(colVect, 5.3)
>  array([[ 5.3],
>         [ 5.3],
>         [ 5.3]])
>  >>> colVect * [5.3]
>  array([[ 5.3],
>         [ 5.3],
>         [ 5.3]])
>  >>> numpy.dot(colVect, [5.3])
>  array([ 5.3,  0. ,  0. ])


This is a dotblas bug.  You can always tell by testing out the original 
dot function:

from numpy.core.multiarray import dot as dot_

dot_(colVect, [5.3])

does not give this result.


-Travis



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