I read somewhere that it could have to do with the sse instructions that your processor is capable of, but my processor is not that old, so I would think that is not the problem...
On Thu, Jan 17, 2013 at 3:12 PM, Scott Sinclair <[email protected] > wrote: > On 17 January 2013 12:01, Gerhard Burger <[email protected]> wrote: > > When I run `numpy.test(verbose=10)` it crashes with > > > > test_polyfit (test_polynomial.TestDocs) ... Illegal instruction > > > > In the FAQ it states that I should provide the following information > > (running Ubuntu 12.04 64bit): > > > > os.name = 'posix' > > uname -r = 3.2.0-35-generic > > sys.platform = 'linux2' > > sys.version = '2.7.3 (default, Aug 1 2012, 05:14:39) \n[GCC 4.6.3]' > > > > Atlas is not installed (not required for numpy, only for scipy right?) > > > > It fails both when I install numpy 1.6.2 with `pip install numpy` and if > I > > install the latest dev version from git. > > Very strange. I tried to reproduce this on 64-bit Ubuntu 12.04 (by > removing my ATLAS, BLAS, LAPACK etc..) but couldn't: > > $ python -c "import numpy; numpy.test()" > Running unit tests for numpy > NumPy version 1.6.2 > NumPy is installed in > /home/scott/.virtualenvs/numpy-tmp/local/lib/python2.7/site-packages/numpy > Python version 2.7.3 (default, Aug 1 2012, 05:14:39) [GCC 4.6.3] > nose version 1.2.1 > ......... > ---------------------------------------------------------------------- > Ran 3568 tests in 14.170s > > OK (KNOWNFAIL=5, SKIP=5) > > $ python -c "import numpy; numpy.show_config()" > blas_info: > NOT AVAILABLE > lapack_info: > NOT AVAILABLE > atlas_threads_info: > NOT AVAILABLE > blas_src_info: > NOT AVAILABLE > lapack_src_info: > NOT AVAILABLE > atlas_blas_threads_info: > NOT AVAILABLE > lapack_opt_info: > NOT AVAILABLE > blas_opt_info: > NOT AVAILABLE > atlas_info: > NOT AVAILABLE > lapack_mkl_info: > NOT AVAILABLE > blas_mkl_info: > NOT AVAILABLE > atlas_blas_info: > NOT AVAILABLE > mkl_info: > NOT AVAILABLE > > Cheers, > Scott > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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