[Numpy-discussion] numpy with nose

[akshar bhosale]

hi,
extremely sorry for inconvenience caused. i will check with my system.

On Thu, Nov 3, 2011 at 7:12 PM, Bruce Southey <bsouthey at gmail.com> wrote:

> On 11/03/2011 04:27 AM, akshar bhosale wrote:
> > Hi,
> > i am using mkl 10.1, intel cluster toolkit 11/069, os rhel 5.2 x86_64,
> > python 2.6, processor is intel xeon
> >
> > numpy version is 1.6.0
> >
> > my numpy.test hanging at below point :
> > Test whether equivalent subarray dtypes hash the same. ... ok
> > Test whether different subarray dtypes hash differently. ... ok
> > Test some data types that are equal ... ok
> > Test some more complicated cases that shouldn't be equal ... ok
> > Test some simple cases that shouldn't be equal ... ok
> > test_single_subarray (test_dtype.TestSubarray) ... ok
> > test_einsum_errors (test_einsum.TestEinSum) ... ok
> > test_einsum_sums_cfloat128 (test_einsum.TestEinSum) ...
> >
> > any pointers for this?
> YES
> Stop repeating the exact same problem in different threads and answer
> the previous questions!
> For example, how much of the 'test_einsum_sums_cfloat128' test  is
> completed before it hangs?
>
> Really there is something unusual about your setup so you need to start
> at the basics because you appear to be the only one that has this problem.
>
> Clear out ALL previous installations including personal and system ones
> and any build directories.
>
> 1) Build and test numpy without any numerical libraries including the
> Intel ones (do not know that) such as:
> $ BLAS=None LAPACK=None ATLAS=None python setup.py build
>
> 2) Build and test numpy without the intel cluster toolkit but with MKL
> after removing all previous installations and build directories.
>
> 3) Build and test numpy with the intel cluster toolkit removing all
> previous installations and build directories.
>
> Bruce
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