On 10/24/06, Mark Hymers <[EMAIL PROTECTED]> wrote:
These aren't right. Are you running on a 64 bit system? Currently float80, float96, and float128 are all float80 with different alignments, so show up as float96 on 32 bit machines and float128 on 64 bit machines. This is probably set by a combination of compiler defaults and machine architecture. It sounds like something is getting misidentified, but I don't know much about that.
My impression is that it is a bug.
Chuck
On Mon, 23, Oct, 2006 at 11:50:27AM +0100, Mark Hymers spoke thus..
> Hi,
>
> I've just done a Mac OS X PPC build of the SVN trunk and am getting this
> failure too.
<snip>
> FAIL: Ticket #112
</snip>
I've just been looking into this a bit further (though I may be heading
down the wrong road) and come across this which doesn't exactly look
right. Again this is on a PPC Mac OS X 10.4 install:
In [1]: import numpy
In [2]: numpy.__version__
Out[2]: '1.0.dev3390'
In [3]: print numpy.finfo(numpy.float32).min, numpy.finfo(numpy.float32).max, numpy.finfo(numpy.float32).eps
-3.40282346639e+38 3.40282346639e+38 1.19209289551e-07
In [4]: print numpy.finfo(numpy.float64).min, numpy.finfo(numpy.float64).max, numpy.finfo(numpy.float64).eps
-1.79769313486e+308 1.79769313486e+308 2.22044604925e-16
In [5]: print numpy.finfo(numpy.float128).min, numpy.finfo(numpy.float128).max, numpy.finfo(numpy.float128).eps
Warning: overflow encountered in add
Warning: invalid value encountered in subtract
Warning: invalid value encountered in subtract
Warning: overflow encountered in add
Warning: invalid value encountered in subtract
Warning: invalid value encountered in subtract
9223372034707292160.0 -9223372034707292160.0 1.38178697010200053743e-76
These aren't right. Are you running on a 64 bit system? Currently float80, float96, and float128 are all float80 with different alignments, so show up as float96 on 32 bit machines and float128 on 64 bit machines. This is probably set by a combination of compiler defaults and machine architecture. It sounds like something is getting misidentified, but I don't know much about that.
Anyone got any comments /thoughts on this? Should I file it as a bug?
I just tested this on an x86 Linux box (running Debian though that
should be irrelevant) and numpy.float128 doesn't exist on x86 Linux
but float96 does gives:
My impression is that it is a bug.
Chuck
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