[Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly

[NumPy]

#494: Arrays of type float96 or float128 do not display correctly
------------------------+---------------------------------------------------
 Reporter:  socha       |       Owner:  somebody        
     Type:  defect      |      Status:  new             
 Priority:  normal      |   Milestone:  1.0.2 Release   
Component:  numpy.core  |     Version:  none            
 Severity:  normal      |    Keywords:  float96 float128
------------------------+---------------------------------------------------
 Here is an example:

 {{{
 C:\Documents and Settings\socha>python
 Python 2.4.3 - Enthought Edition 1.0.0 (#69, Aug  2 2006, 12:09:59) [MSC
 v.1310 32 bit (Intel)] on win32
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import numpy
 >>> numpy.__version__
 '1.0.2'
 >>> from numpy import array
 >>> f = array([1,2,3], dtype='float96')
 >>> f
 array([0.0, 0.0, -2.0], dtype=float96)             <== float96 prints
 incorrectly
 >>> f.astype('float32')
 array([ 1.,  2.,  3.], dtype=float32)              <== Yet data seems
 intact
 >>> f.sum()
 -2.0                                               <== prints incorrectly
 >>> f.sum().astype('float32')
 6.0                                                <== prints correctly if
 force to float32
 >>>
 }}}

 We have the same symptoms with float128 (on a Mac with an Intel 2GHz Core
 Duo).

 - David Socha & Daniel Terhorst, UrbanSim Project, http://www.urbansim.org

-- 
Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/494>
NumPy <http://projects.scipy.org/scipy/numpy>
The fundamental package needed for scientific computing with Python.