[NumPy-Tickets] [NumPy] #1867: numpy.absolute() can return a negative value

[NumPy Trac]

#1867: numpy.absolute() can return a negative value
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 Reporter:  phil.hodge          |       Owner:  somebody   
     Type:  defect              |      Status:  new        
 Priority:  normal              |   Milestone:  Unscheduled
Component:  Other               |     Version:  1.6.0      
 Keywords:  negative, absolute  |  
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 On a 32-bit Linux machine, when the input to the np.absolute() function is
 a big-endian, floating point array, the output is the same as the input,
 even if the input array contains negative values.  Here is an example:

 {{{>>> print np.__version__
 2.0.0.dev-Unknown
 >>> x = np.array([-1., 0., 1.], dtype='>f8')
 >>> print np.absolute(x)
 [ -1.00000000e+00   0.00000000e+00   1.00000000e+00]
 >>> print np.absolute(x) - x
 [ 0.  0.  0.]}}}

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Ticket URL: <http://projects.scipy.org/numpy/ticket/1867>
NumPy <http://projects.scipy.org/numpy>
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