Matthieu Brucher wrote:
>> Concerning the other errors: did you compile with intel compilers or GNU
>> ones ?
>>
>
> Only Intel compilers. Maybe I should check the rc branch instead of the trunk?
>
I just wanted to confirm - I am actually rather surprised there are not
more errors :)
chee
2009/6/8 David Cournapeau :
> Matthieu Brucher wrote:
>> David,
>>
>> I've checked out the trunk, and the segmentation fault isn't there
>> anymore (the trunk is labeled 0.8.0 though)
>>
>
> Yes, the upcoming 0.7.1 release has its code in the 0.7.x svn branch.
> But the fix for #946 is a backport o
Matthieu Brucher wrote:
> David,
>
> I've checked out the trunk, and the segmentation fault isn't there
> anymore (the trunk is labeled 0.8.0 though)
>
Yes, the upcoming 0.7.1 release has its code in the 0.7.x svn branch.
But the fix for #946 is a backport of 0.8.0, so in theory, it should be
f
David,
I've checked out the trunk, and the segmentation fault isn't there
anymore (the trunk is labeled 0.8.0 though)
Here is the log from the remaining errors with the MKL:
==
ERROR: Failure: ImportError
(/data/pau112/INNO/loca
OK, I'm stuck with #946 with the MKL as well (finally managed to
compile and use it with only the static library safe for libguide).
I'm trying to download the trunk at the moment to check if the
segmentation fault is still there.
Matthieu
2009/6/8 Matthieu Brucher :
> Good luck with fixing this
2009/6/8 David Cournapeau :
> Matthieu Brucher wrote:
>> Good luck with fixing this then :|
>>
>> I've tried to build scipy with the MKL and ATLAS, and I have in both
>> cases a segmentation fault. With the MKL, it is the same as in a
>> previous mail, and for ATLAS it is there:
>> Regression test
Matthieu Brucher wrote:
> Good luck with fixing this then :|
>
> I've tried to build scipy with the MKL and ATLAS, and I have in both
> cases a segmentation fault. With the MKL, it is the same as in a
> previous mail, and for ATLAS it is there:
> Regression test for #946. ... Segmentation fault
>
Good luck with fixing this then :|
I've tried to build scipy with the MKL and ATLAS, and I have in both
cases a segmentation fault. With the MKL, it is the same as in a
previous mail, and for ATLAS it is there:
Regression test for #946. ... Segmentation fault
A bad ATLAS compilation?
Matthieu
>
On Mon, Jun 8, 2009 at 8:45 PM, Matthieu
Brucher wrote:
> 2009/6/8 David Cournapeau :
>> Matthieu Brucher wrote:
>>> I'm trying to compile it with ICC 10.1.018, and it fails :|
>>>
>>> icc: scipy/special/cephes/const.c
>>> scipy/special/cephes/const.c(94): error: floating-point operation
>>> result
2009/6/8 David Cournapeau :
> Matthieu Brucher wrote:
>> I'm trying to compile it with ICC 10.1.018, and it fails :|
>>
>> icc: scipy/special/cephes/const.c
>> scipy/special/cephes/const.c(94): error: floating-point operation
>> result is out of range
>> double INFINITY = 1.0/0.0; /* 99e999; */
Matthieu Brucher wrote:
> I'm trying to compile it with ICC 10.1.018, and it fails :|
>
> icc: scipy/special/cephes/const.c
> scipy/special/cephes/const.c(94): error: floating-point operation
> result is out of range
> double INFINITY = 1.0/0.0; /* 99e999; */
>^
>
> scipy
I'm trying to compile it with ICC 10.1.018, and it fails :|
icc: scipy/special/cephes/const.c
scipy/special/cephes/const.c(94): error: floating-point operation
result is out of range
double INFINITY = 1.0/0.0; /* 99e999; */
^
scipy/special/cephes/const.c(99): error: floa
2009/6/8 Matthieu Brucher :
> I'm trying to compile it with ICC 10.1.018, and it fails :|
>
> icc: scipy/special/cephes/const.c
> scipy/special/cephes/const.c(94): error: floating-point operation
> result is out of range
> double INFINITY = 1.0/0.0; /* 99e999; */
> ^
>
> sci
On Fri, Jun 5, 2009 at 06:09, David Cournapeau wrote:
> Please test it ! I am particularly interested in results for scipy
> binaries on mac os x (do they work on ppc).
Test suite passes on Intel Mac OS X (10.5.7) built from source:
OK (KNOWNFAIL=6, SKIP=21)
Cheers
Adam
__
Hi,
The RC2 for 0.7.1 scipy release has just been tagged. This is a
bug-fixes only release, see below for the release notes. More
information can
also be found on the trac website:
http://projects.scipy.org/scipy/milestone/0.7.1
The only code change compared to the RC1 is one fix which is ess
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