[SciPy-user] scipy 0.7.0.dev4373 + atlas FAILED (failures=2, errors=12)

Michael Abshoff mabshoff@googlemail....
Sun May 18 06:31:44 CDT 2008

Xavier Gnata wrote:

> Indeed, scipy is very easy to compile when the lib are installed.
> well atlas using the package is ok.
> umfpack is not on my ubuntu.
> Yes I'm able to compile scipy but it complains that umfpack (or 
> libsparesuite...) is missing when I run the scipy.test().
> Maybe the scipy.test() should clearly split the errors in two groups : 
> One group including "real" bugs and one reporting that libs a missing 
> but that it is *not* a problem if you do not plan to use this part of scipy
> I do agree that the doc should tell the user to use the .deb and I think 
> all this stuff be just vanish when gfortran will be the default compiler.
> To tell you the story : I have installed gcc-4.3 on my hardy to be able 
> to use openmp with scipy.weave.inline (it works just fine for instance 
> to implement a TOTAL idl like function. A bug in gcc-4.2 prevent this to 
> work.).
> I do hope that the next release of ubuntu will be based gcc-4.3 and on 
> gfortran *and* that they will provide us this nice atlas packages.
Do you mean the 8.04 release? I was surprised to see that it shipped gcc 

> I must admit that I'm a user working "only" on large arrays so it is a 
> kind of a corner case ;)
> Cheers,
> Xavier
> ps : I'm not sure but I don't think you can compile the kernel using icc 
> ;). the kernel is written in gcc qnd not in C :)

The Linux kernel can be compiled with the Intel C compiler since Intel 
uses it as a test case, i.e. Intel's compiler try to be as close to gcc 
as possible on Linux and MSVC on Windows.



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