[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
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 Reporter:  socha             |        Owner:  somebody     
     Type:  defect            |       Status:  new          
 Priority:  normal            |    Milestone:  1.0.3 Release
Component:  numpy.core        |      Version:  none         
 Severity:  normal            |   Resolution:               
 Keywords:  float96 float128  |  
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Comment (by charris):

 Microsoft compilers treat the long double type as a double, at least up to
 VC++8.0

 "So the two types are distinguishable, though both types are currently
 mapped to the same double precision format; that is, sizeof(d) ==
 sizeof(ld).  Much to my chagrin, VC++ still doesn’t have extended
 precision long doubles (yes, even in version 8.0!).  This has been a point
 of longstanding criticism of our product.  For years processors have
 provided the capability of extended precision, yet VC only provides
 support for double precision."

 So this looks like a compiler problem. I think this ticket should be
 closed as invalid. Maybe another compiler should be used for the windows'
 platform? I don't know what is going on with OSX, I think it uses the gcc
 compiler, but I suspect there it is a compiler problem there also.

 Heads up on another problem coming: MS Vista limits binaries compiled with
 "foreign" compilers to 32 meg of memory. It is said this will be fixed by
 SP1.

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Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/494#comment:7>
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