[SciPy-User] OS X Lion build fails: arpack

Paul Anton Letnes paul.anton.letnes@gmail....
Mon Oct 10 05:42:26 CDT 2011


On 10. okt. 2011, at 12:20, Pauli Virtanen wrote:

> 10.10.2011 11:35, Paul Anton Letnes kirjoitti:
> [clip]
>> I compiled using gcc and gfortran 4.6.0 build from homebrew-alt
>> (I think - maybe setup.py dug up Apple's gcc). I suppose there's
>> a theoretical possibility that there's an issue with the compiler?
>> I'd like my scipy installation to be nice and bug-free, so I'll
>> gladly help debug if I'm able to.
>> 
>> i-courant /tmp/paulanto % python -c 'import scipy;scipy.test()' 2>&1
> 
> Please run
> 
> 	scipy.test(verbose=2)
> 
> so that we can also see which test hangs.
> 
> Thanks,
> 
> -- 
> Pauli Virtanen

OK, here goes. CPU goes to 100% on one core. Before the test hangs, it also prints a lot of 'ERROR', probably meaning that several tests are failing. Looks like this is the line that hangs:  
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') … 

Full log at the bottom of the email. Before that, I printed out which libraries are linked to, because since Ctrl-C does nothing, I am guessing the 'hang' is somewhere in a C/Fortran routine.

Libraries:
++++++++++
/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy % otool -L **/*so
cluster/_hierarchy_wrap.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
cluster/_vq.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
fftpack/_fftpack.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
fftpack/convolve.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
integrate/_dop.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
integrate/_odepack.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
integrate/_quadpack.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
integrate/vode.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
interpolate/_fitpack.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
interpolate/_interpolate.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
interpolate/dfitpack.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
interpolate/interpnd.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
io/matlab/mio5_utils.so:
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	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
io/matlab/mio_utils.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
io/matlab/streams.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/blas/cblas.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/blas/fblas.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/lapack/atlas_version.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/lapack/calc_lwork.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/lapack/clapack.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
lib/lapack/flapack.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
linalg/_flinalg.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
linalg/atlas_version.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
linalg/calc_lwork.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
linalg/cblas.so:
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	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
linalg/clapack.so:
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	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
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linalg/fblas.so:
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linalg/flapack.so:
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	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
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ndimage/_nd_image.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
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odr/__odrpack.so:
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sparse/linalg/eigen/arpack/_arpack.so:
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	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/linalg/isolve/_iterative.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_bsr.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_coo.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_csc.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_csgraph.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_csr.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
sparse/sparsetools/_dia.so:
	/usr/lib/libstdc++.6.dylib (compatibility version 7.0.0, current version 52.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
spatial/_distance_wrap.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
spatial/ckdtree.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
spatial/qhull.so:
	/System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
special/_cephes.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
special/_logit.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
special/lambertw.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
special/orthogonal_eval.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
special/specfun.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
stats/futil.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
stats/mvn.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
stats/statlib.so:
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgfortran.3.dylib (compatibility version 4.0.0, current version 4.0.0)
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/local/Cellar/gcc/4.6.0/gcc/lib/libquadmath.0.dylib (compatibility version 1.0.0, current version 1.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
stats/vonmises_cython.so:
	/usr/lib/libgcc_s.1.dylib (compatibility version 1.0.0, current version 1105.0.0)
	/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 159.0.0)
i-dhcp-49211 /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy % 

Test log:
+++++++++
/tmp/paulanto % python -c 'import scipy;scipy.test(verbose=2)' 2>&1                                                                                                                                                                         [12:36:21 on 11-10-10]
Running unit tests for scipy
NumPy version 1.6.1
NumPy is installed in /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/numpy
SciPy version 0.10.0b2
SciPy is installed in /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy
Python version 2.7.2 (default, Oct  9 2011, 18:03:13) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]
nose version 1.1.2
Tests cophenet(Z) on tdist data set. ... ok
Tests cophenet(Z, Y) on tdist data set. ... ok
Tests correspond(Z, y) on linkage and CDMs over observation sets of different sizes. ... ok
Tests correspond(Z, y) on linkage and CDMs over observation sets of different sizes. Correspondance should be false. ... ok
Tests correspond(Z, y) on linkage and CDMs over observation sets of different sizes. Correspondance should be false. ... ok
Tests correspond(Z, y) with empty linkage and condensed distance matrix. ... ok
Tests num_obs_linkage with observation matrices of multiple sizes. ... ok
Tests fcluster(Z, criterion='maxclust', t=2) on a random 3-cluster data set. ... ok
Tests fcluster(Z, criterion='maxclust', t=3) on a random 3-cluster data set. ... ok
Tests fcluster(Z, criterion='maxclust', t=4) on a random 3-cluster data set. ... ok
Tests fclusterdata(X, criterion='maxclust', t=2) on a random 3-cluster data set. ... ok
Tests fclusterdata(X, criterion='maxclust', t=3) on a random 3-cluster data set. ... ok
Tests fclusterdata(X, criterion='maxclust', t=4) on a random 3-cluster data set. ... ok
Tests from_mlab_linkage on empty linkage array. ... ok
Tests from_mlab_linkage on linkage array with multiple rows. ... ok
Tests from_mlab_linkage on linkage array with single row. ... ok
Tests inconsistency matrix calculation (depth=1) on a complete linkage. ... ok
Tests inconsistency matrix calculation (depth=2) on a complete linkage. ... ok
Tests inconsistency matrix calculation (depth=3) on a complete linkage. ... ok
Tests inconsistency matrix calculation (depth=4) on a complete linkage. ... ok
Tests inconsistency matrix calculation (depth=1, dataset=Q) with single linkage. ... ok
Tests inconsistency matrix calculation (depth=2, dataset=Q) with single linkage. ... ok
Tests inconsistency matrix calculation (depth=3, dataset=Q) with single linkage. ... ok
Tests inconsistency matrix calculation (depth=4, dataset=Q) with single linkage. ... ok
Tests inconsistency matrix calculation (depth=1) on a single linkage. ... ok
Tests inconsistency matrix calculation (depth=2) on a single linkage. ... ok
Tests inconsistency matrix calculation (depth=3) on a single linkage. ... ok
Tests inconsistency matrix calculation (depth=4) on a single linkage. ... ok
Tests is_isomorphic on test case #1 (one flat cluster, different labellings) ... ok
Tests is_isomorphic on test case #2 (two flat clusters, different labelings) ... ok
Tests is_isomorphic on test case #3 (no flat clusters) ... ok
Tests is_isomorphic on test case #4A (3 flat clusters, different labelings, isomorphic) ... ok
Tests is_isomorphic on test case #4B (3 flat clusters, different labelings, nonisomorphic) ... ok
Tests is_isomorphic on test case #4C (3 flat clusters, different labelings, isomorphic) ... ok
Tests is_isomorphic on test case #5A (1000 observations, 2 random clusters, random permutation of the labeling). Run 3 times. ... ok
Tests is_isomorphic on test case #5B (1000 observations, 3 random clusters, random permutation of the labeling). Run 3 times. ... ok
Tests is_isomorphic on test case #5C (1000 observations, 5 random clusters, random permutation of the labeling). Run 3 times. ... ok
Tests is_isomorphic on test case #5A (1000 observations, 2 random clusters, random permutation of the labeling, slightly nonisomorphic.) Run 3 times. ... ok
Tests is_isomorphic on test case #5B (1000 observations, 3 random clusters, random permutation of the labeling, slightly nonisomorphic.) Run 3 times. ... ok
Tests is_isomorphic on test case #5C (1000 observations, 5 random clusters, random permutation of the labeling, slightly non-isomorphic.) Run 3 times. ... ok
Tests is_monotonic(Z) on 1x4 linkage. Expecting True. ... ok
Tests is_monotonic(Z) on 2x4 linkage. Expecting False. ... ok
Tests is_monotonic(Z) on 2x4 linkage. Expecting True. ... ok
Tests is_monotonic(Z) on 3x4 linkage (case 1). Expecting False. ... ok
Tests is_monotonic(Z) on 3x4 linkage (case 2). Expecting False. ... ok
Tests is_monotonic(Z) on 3x4 linkage (case 3). Expecting False ... ok
Tests is_monotonic(Z) on 3x4 linkage. Expecting True. ... ok
Tests is_monotonic(Z) on an empty linkage. ... ok
Tests is_monotonic(Z) on clustering generated by single linkage on Iris data set. Expecting True. ... ok
Tests is_monotonic(Z) on clustering generated by single linkage on tdist data set. Expecting True. ... ok
Tests is_monotonic(Z) on clustering generated by single linkage on tdist data set. Perturbing. Expecting False. ... ok
Tests is_valid_im(R) on im over 2 observations. ... ok
Tests is_valid_im(R) on im over 3 observations. ... ok
Tests is_valid_im(R) with 3 columns. ... ok
Tests is_valid_im(R) on im on observation sets between sizes 4 and 15 (step size 3). ... ok
Tests is_valid_im(R) on im on observation sets between sizes 4 and 15 (step size 3) with negative link counts. ... ok
Tests is_valid_im(R) on im on observation sets between sizes 4 and 15 (step size 3) with negative link height means. ... ok
Tests is_valid_im(R) on im on observation sets between sizes 4 and 15 (step size 3) with negative link height standard deviations. ... ok
Tests is_valid_im(R) with 5 columns. ... ok
Tests is_valid_im(R) with empty inconsistency matrix. ... ok
Tests is_valid_im(R) with integer type. ... ok
Tests is_valid_linkage(Z) on linkage over 2 observations. ... ok
Tests is_valid_linkage(Z) on linkage over 3 observations. ... ok
Tests is_valid_linkage(Z) with 3 columns. ... ok
Tests is_valid_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3). ... ok
Tests is_valid_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3) with negative counts. ... ok
Tests is_valid_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3) with negative distances. ... ok
Tests is_valid_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3) with negative indices (left). ... ok
Tests is_valid_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3) with negative indices (right). ... ok
Tests is_valid_linkage(Z) with 5 columns. ... ok
Tests is_valid_linkage(Z) with empty linkage. ... ok
Tests is_valid_linkage(Z) with integer type. ... ok
Tests leaders using a flat clustering generated by single linkage. ... ok
Tests leaves_list(Z) on a 1x4 linkage. ... ok
Tests leaves_list(Z) on a 2x4 linkage. ... ok
Tests leaves_list(Z) on the Iris data set using average linkage. ... ok
Tests leaves_list(Z) on the Iris data set using centroid linkage. ... ok
Tests leaves_list(Z) on the Iris data set using complete linkage. ... ok
Tests leaves_list(Z) on the Iris data set using median linkage. ... ok
Tests leaves_list(Z) on the Iris data set using single linkage. ... ok
Tests leaves_list(Z) on the Iris data set using ward linkage. ... ok
Tests linkage(Y, 'average') on the tdist data set. ... ok
Tests linkage(Y, 'centroid') on the Q data set. ... ok
Tests linkage(Y, 'complete') on the Q data set. ... ok
Tests linkage(Y, 'complete') on the tdist data set. ... ok
Tests linkage(Y) where Y is a 0x4 linkage matrix. Exception expected. ... ok
Tests linkage(Y, 'single') on the Q data set. ... ok
Tests linkage(Y, 'single') on the tdist data set. ... ok
Tests linkage(Y, 'weighted') on the Q data set. ... ok
Tests linkage(Y, 'weighted') on the tdist data set. ... ok
Tests maxdists(Z) on the Q data set using centroid linkage. ... ok
Tests maxdists(Z) on the Q data set using complete linkage. ... ok
Tests maxdists(Z) on the Q data set using median linkage. ... ok
Tests maxdists(Z) on the Q data set using single linkage. ... ok
Tests maxdists(Z) on the Q data set using Ward linkage. ... ok
Tests maxdists(Z) on empty linkage. Expecting exception. ... ok
Tests maxdists(Z) on linkage with one cluster. ... ok
Tests maxinconsts(Z, R) on the Q data set using centroid linkage. ... ok
Tests maxinconsts(Z, R) on the Q data set using complete linkage. ... ok
Tests maxinconsts(Z, R) on the Q data set using median linkage. ... ok
Tests maxinconsts(Z, R) on the Q data set using single linkage. ... ok
Tests maxinconsts(Z, R) on the Q data set using Ward linkage. ... ok
Tests maxinconsts(Z, R) on linkage and inconsistency matrices with different numbers of clusters. Expecting exception. ... ok
Tests maxinconsts(Z, R) on empty linkage. Expecting exception. ... ok
Tests maxinconsts(Z, R) on linkage with one cluster. ... ok
Tests maxRstat(Z, R, 0) on the Q data set using centroid linkage. ... ok
Tests maxRstat(Z, R, 0) on the Q data set using complete linkage. ... ok
Tests maxRstat(Z, R, 0) on the Q data set using median linkage. ... ok
Tests maxRstat(Z, R, 0) on the Q data set using single linkage. ... ok
Tests maxRstat(Z, R, 0) on the Q data set using Ward linkage. ... ok
Tests maxRstat(Z, R, 0) on linkage and inconsistency matrices with different numbers of clusters. Expecting exception. ... ok
Tests maxRstat(Z, R, 0) on empty linkage. Expecting exception. ... ok
Tests maxRstat(Z, R, 0) on linkage with one cluster. ... ok
Tests maxRstat(Z, R, 1) on the Q data set using centroid linkage. ... ok
Tests maxRstat(Z, R, 1) on the Q data set using complete linkage. ... ok
Tests maxRstat(Z, R, 1) on the Q data set using median linkage. ... ok
Tests maxRstat(Z, R, 1) on the Q data set using single linkage. ... ok
Tests maxRstat(Z, R, 1) on the Q data set using Ward linkage. ... ok
Tests maxRstat(Z, R, 1) on linkage and inconsistency matrices with different numbers of clusters. Expecting exception. ... ok
Tests maxRstat(Z, R, 1) on empty linkage. Expecting exception. ... ok
Tests maxRstat(Z, R, 1) on linkage with one cluster. ... ok
Tests maxRstat(Z, R, 2) on the Q data set using centroid linkage. ... ok
Tests maxRstat(Z, R, 2) on the Q data set using complete linkage. ... ok
Tests maxRstat(Z, R, 2) on the Q data set using median linkage. ... ok
Tests maxRstat(Z, R, 2) on the Q data set using single linkage. ... ok
Tests maxRstat(Z, R, 2) on the Q data set using Ward linkage. ... ok
Tests maxRstat(Z, R, 2) on linkage and inconsistency matrices with different numbers of clusters. Expecting exception. ... ok
Tests maxRstat(Z, R, 2) on empty linkage. Expecting exception. ... ok
Tests maxRstat(Z, R, 2) on linkage with one cluster. ... ok
Tests maxRstat(Z, R, 3) on the Q data set using centroid linkage. ... ok
Tests maxRstat(Z, R, 3) on the Q data set using complete linkage. ... ok
Tests maxRstat(Z, R, 3) on the Q data set using median linkage. ... ok
Tests maxRstat(Z, R, 3) on the Q data set using single linkage. ... ok
Tests maxRstat(Z, R, 3) on the Q data set using Ward linkage. ... ok
Tests maxRstat(Z, R, 3) on linkage and inconsistency matrices with different numbers of clusters. Expecting exception. ... ok
Tests maxRstat(Z, R, 3) on empty linkage. Expecting exception. ... ok
Tests maxRstat(Z, R, 3) on linkage with one cluster. ... ok
Tests maxRstat(Z, R, 3.3). Expecting exception. ... ok
Tests maxRstat(Z, R, -1). Expecting exception. ... ok
Tests maxRstat(Z, R, 4). Expecting exception. ... ok
Tests num_obs_linkage(Z) on linkage over 2 observations. ... ok
Tests num_obs_linkage(Z) on linkage over 3 observations. ... ok
Tests num_obs_linkage(Z) on linkage on observation sets between sizes 4 and 15 (step size 3). ... ok
Tests num_obs_linkage(Z) with empty linkage. ... ok
Tests to_mlab_linkage on linkage array with multiple rows. ... ok
Tests to_mlab_linkage on empty linkage array. ... ok
Tests to_mlab_linkage on linkage array with single row. ... ok
test_hierarchy.load_testing_files ... ok
Ticket #505. ... ok
Testing that kmeans2 init methods work. ... ok
Testing simple call to kmeans2 with rank 1 data. ... ok
Testing simple call to kmeans2 with rank 1 data. ... ok
Testing simple call to kmeans2 and its results. ... ok
Regression test for #546: fail when k arg is 0. ... ok
This will cause kmean to have a cluster with no points. ... ok
test_kmeans_simple (test_vq.TestKMean) ... ok
test_large_features (test_vq.TestKMean) ... ok
test_py_vq (test_vq.TestVq) ... ok
test_py_vq2 (test_vq.TestVq) ... ok
test_vq (test_vq.TestVq) ... ok
Test special rank 1 vq algo, python implementation. ... ok
test_codata.test_find ... ok
test_codata.test_basic_table_parse ... ok
test_codata.test_basic_lookup ... ok
test_codata.test_find_all ... ok
test_codata.test_find_single ... ok
test_codata.test_2002_vs_2006 ... ok
Check that updating stored values with exact ones worked. ... ok
test_constants.test_fahrenheit_to_celcius ... ok
test_constants.test_celcius_to_kelvin ... ok
test_constants.test_kelvin_to_celcius ... ok
test_constants.test_fahrenheit_to_kelvin ... ok
test_constants.test_kelvin_to_fahrenheit ... ok
test_constants.test_celcius_to_fahrenheit ... ok
test_constants.test_lambda_to_nu ... ok
test_constants.test_nu_to_lambda ... ok
test_definition (test_basic.TestDoubleFFT) ... ok
test_djbfft (test_basic.TestDoubleFFT) ... ok
test_n_argument_real (test_basic.TestDoubleFFT) ... ok
test_definition (test_basic.TestDoubleIFFT) ... ok
test_definition_real (test_basic.TestDoubleIFFT) ... ok
test_djbfft (test_basic.TestDoubleIFFT) ... ok
test_random_complex (test_basic.TestDoubleIFFT) ... ok
test_random_real (test_basic.TestDoubleIFFT) ... ok
test_size_accuracy (test_basic.TestDoubleIFFT) ... ok
test_axes_argument (test_basic.TestFftn) ... ok
test_definition (test_basic.TestFftn) ... ok
test_shape_argument (test_basic.TestFftn) ... ok
Test that fftn raises ValueError when s.shape is longer than x.shape ... ok
test_shape_axes_argument (test_basic.TestFftn) ... ok
test_shape_axes_argument2 (test_basic.TestFftn) ... ok
test_definition (test_basic.TestFftnSingle) ... ok
test_size_accuracy (test_basic.TestFftnSingle) ... ok
test_definition (test_basic.TestIRFFTDouble) ... ok
test_djbfft (test_basic.TestIRFFTDouble) ... ok
test_random_real (test_basic.TestIRFFTDouble) ... ok
test_size_accuracy (test_basic.TestIRFFTDouble) ... ok
test_definition (test_basic.TestIRFFTSingle) ... ok
test_djbfft (test_basic.TestIRFFTSingle) ... ok
test_random_real (test_basic.TestIRFFTSingle) ... ok
test_size_accuracy (test_basic.TestIRFFTSingle) ... ok
test_definition (test_basic.TestIfftnDouble) ... ok
test_random_complex (test_basic.TestIfftnDouble) ... ok
test_definition (test_basic.TestIfftnSingle) ... ok
test_random_complex (test_basic.TestIfftnSingle) ... ok
test_complex (test_basic.TestLongDoubleFailure) ... ok
test_real (test_basic.TestLongDoubleFailure) ... ok
test_basic.TestOverwrite.test_fft ... ok
test_basic.TestOverwrite.test_fftn ... ok
test_basic.TestOverwrite.test_ifft ... ok
test_basic.TestOverwrite.test_ifftn ... ok
test_basic.TestOverwrite.test_irfft ... ok
test_basic.TestOverwrite.test_rfft ... ok
test_definition (test_basic.TestRFFTDouble) ... ok
test_djbfft (test_basic.TestRFFTDouble) ... ok
test_definition (test_basic.TestRFFTSingle) ... ok
test_djbfft (test_basic.TestRFFTSingle) ... ok
test_definition (test_basic.TestSingleFFT) ... ok
test_djbfft (test_basic.TestSingleFFT) ... ok
test_n_argument_real (test_basic.TestSingleFFT) ... ok
test_notice (test_basic.TestSingleFFT) ... KNOWNFAIL: single-precision FFT implementation is partially disabled, until accuracy issues with large prime powers are resolved
test_definition (test_basic.TestSingleIFFT) ... ok
test_definition_real (test_basic.TestSingleIFFT) ... ok
test_djbfft (test_basic.TestSingleIFFT) ... ok
test_random_complex (test_basic.TestSingleIFFT) ... ok
test_random_real (test_basic.TestSingleIFFT) ... ok
test_size_accuracy (test_basic.TestSingleIFFT) ... ok
fft returns wrong result with axes parameter. ... ok
test_definition (test_helper.TestFFTFreq) ... ok
test_definition (test_helper.TestFFTShift) ... ok
test_inverse (test_helper.TestFFTShift) ... ok
test_definition (test_helper.TestRFFTFreq) ... ok
test_definition (test_pseudo_diffs.TestDiff) ... ok
test_expr (test_pseudo_diffs.TestDiff) ... ok
test_expr_large (test_pseudo_diffs.TestDiff) ... ok
test_int (test_pseudo_diffs.TestDiff) ... ok
test_period (test_pseudo_diffs.TestDiff) ... ok
test_random_even (test_pseudo_diffs.TestDiff) ... ok
test_random_odd (test_pseudo_diffs.TestDiff) ... ok
test_sin (test_pseudo_diffs.TestDiff) ... ok
test_zero_nyquist (test_pseudo_diffs.TestDiff) ... ok
test_definition (test_pseudo_diffs.TestHilbert) ... ok
test_random_even (test_pseudo_diffs.TestHilbert) ... ok
test_random_odd (test_pseudo_diffs.TestHilbert) ... ok
test_tilbert_relation (test_pseudo_diffs.TestHilbert) ... ok
test_definition (test_pseudo_diffs.TestIHilbert) ... ok
test_itilbert_relation (test_pseudo_diffs.TestIHilbert) ... ok
test_definition (test_pseudo_diffs.TestITilbert) ... ok
test_pseudo_diffs.TestOverwrite.test_cc_diff ... ok
test_pseudo_diffs.TestOverwrite.test_cs_diff ... ok
test_pseudo_diffs.TestOverwrite.test_diff ... ok
test_pseudo_diffs.TestOverwrite.test_hilbert ... ok
test_pseudo_diffs.TestOverwrite.test_itilbert ... ok
test_pseudo_diffs.TestOverwrite.test_sc_diff ... ok
test_pseudo_diffs.TestOverwrite.test_shift ... ok
test_pseudo_diffs.TestOverwrite.test_ss_diff ... ok
test_pseudo_diffs.TestOverwrite.test_tilbert ... ok
test_definition (test_pseudo_diffs.TestShift) ... ok
test_definition (test_pseudo_diffs.TestTilbert) ... ok
test_random_even (test_pseudo_diffs.TestTilbert) ... ok
test_random_odd (test_pseudo_diffs.TestTilbert) ... ok
test_axis (test_real_transforms.TestDCTIDouble) ... ok
test_definition (test_real_transforms.TestDCTIDouble) ... ok
test_axis (test_real_transforms.TestDCTIFloat) ... ok
test_definition (test_real_transforms.TestDCTIFloat) ... ok
test_axis (test_real_transforms.TestDCTIIDouble) ... ok
test_definition (test_real_transforms.TestDCTIIDouble) ... ok
Test correspondance with matlab (orthornomal mode). ... ok
test_axis (test_real_transforms.TestDCTIIFloat) ... ok
test_definition (test_real_transforms.TestDCTIIFloat) ... ok
Test correspondance with matlab (orthornomal mode). ... ok
test_axis (test_real_transforms.TestDCTIIIDouble) ... ok
test_definition (test_real_transforms.TestDCTIIIDouble) ... ok
Test orthornomal mode. ... ok
test_axis (test_real_transforms.TestDCTIIIFloat) ... ok
test_definition (test_real_transforms.TestDCTIIIFloat) ... ok
Test orthornomal mode. ... ok
test_definition (test_real_transforms.TestIDCTIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIFloat) ... ok
test_definition (test_real_transforms.TestIDCTIIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIIFloat) ... ok
test_definition (test_real_transforms.TestIDCTIIIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIIIFloat) ... ok
test_real_transforms.TestOverwrite.test_dct ... ok
test_real_transforms.TestOverwrite.test_idct ... ok
test_no_params (test_integrate.DOP853CheckParameterUse) ... ok
test_one_scalar_param (test_integrate.DOP853CheckParameterUse) ... ok
test_two_scalar_params (test_integrate.DOP853CheckParameterUse) ... ok
test_vector_param (test_integrate.DOP853CheckParameterUse) ... ok
test_no_params (test_integrate.DOPRI5CheckParameterUse) ... ok
test_one_scalar_param (test_integrate.DOPRI5CheckParameterUse) ... ok
test_two_scalar_params (test_integrate.DOPRI5CheckParameterUse) ... ok
test_vector_param (test_integrate.DOPRI5CheckParameterUse) ... ok
Check the dop853 solver ... ok
Check the dopri5 solver ... ok
Check the vode solver ... ok
test_concurrent_fail (test_integrate.TestOde) ... ok
test_concurrent_ok (test_integrate.TestOde) ... ok
Check the dop853 solver ... ok
Check the dopri5 solver ... ok
Check the vode solver ... ok
Check the zvode solver ... ok
test_odeint (test_integrate.TestOdeint) ... ok
test_no_params (test_integrate.VODECheckParameterUse) ... ok
test_one_scalar_param (test_integrate.VODECheckParameterUse) ... ok
test_two_scalar_params (test_integrate.VODECheckParameterUse) ... ok
test_vector_param (test_integrate.VODECheckParameterUse) ... ok
test_no_params (test_integrate.ZVODECheckParameterUse) ... ok
test_one_scalar_param (test_integrate.ZVODECheckParameterUse) ... ok
test_two_scalar_params (test_integrate.ZVODECheckParameterUse) ... ok
test_vector_param (test_integrate.ZVODECheckParameterUse) ... ok
test_algebraic_log_weight (test_quadpack.TestQuad) ... ok
test_cauchypv_weight (test_quadpack.TestQuad) ... ok
test_cosine_weighted_infinite (test_quadpack.TestQuad) ... ok
test_double_integral (test_quadpack.TestQuad) ... ok
test_indefinite (test_quadpack.TestQuad) ... ok
test_sine_weighted_finite (test_quadpack.TestQuad) ... ok
test_sine_weighted_infinite (test_quadpack.TestQuad) ... ok
test_singular (test_quadpack.TestQuad) ... ok
test_triple_integral (test_quadpack.TestQuad) ... ok
test_typical (test_quadpack.TestQuad) ... ok
Test the first few degrees, for evenly spaced points. ... ok
Test newton_cotes with points that are not evenly spaced. ... ok
test_non_dtype (test_quadrature.TestQuadrature) ... ok
test_quadrature (test_quadrature.TestQuadrature) ... ok
test_quadrature_rtol (test_quadrature.TestQuadrature) ... ok
test_romb (test_quadrature.TestQuadrature) ... ok
test_romberg (test_quadrature.TestQuadrature) ... ok
test_romberg_rtol (test_quadrature.TestQuadrature) ... ok
test_bilinearity (test_fitpack.TestLSQBivariateSpline) ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/interpolate/fitpack2.py:674: UserWarning: 
The coefficients of the spline returned have been computed as the
minimal norm least-squares solution of a (numerically) rank deficient
system (deficiency=7). If deficiency is large, the results may be
inaccurate. Deficiency may strongly depend on the value of eps.
  warnings.warn(message)
ok
Test whether empty inputs returns an empty output. Ticket 1014 ... ok
test_integral (test_fitpack.TestLSQBivariateSpline) ... ok
test_linear_constant (test_fitpack.TestLSQBivariateSpline) ... ok
test_defaults (test_fitpack.TestRectBivariateSpline) ... ok
test_evaluate (test_fitpack.TestRectBivariateSpline) ... ok
test_integral (test_fitpack.TestSmoothBivariateSpline) ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/interpolate/fitpack2.py:605: UserWarning: 
The required storage space exceeds the available storage space: nxest
or nyest too small, or s too small.
The weighted least-squares spline corresponds to the current set of
knots.
  warnings.warn(message)
ok
test_linear_1d (test_fitpack.TestSmoothBivariateSpline) ... ok
test_linear_constant (test_fitpack.TestSmoothBivariateSpline) ... ok
Test whether empty input returns an empty output. Ticket 1014 ... ok
test_linear_1d (test_fitpack.TestUnivariateSpline) ... ok
test_linear_constant (test_fitpack.TestUnivariateSpline) ... ok
test_preserve_shape (test_fitpack.TestUnivariateSpline) ... ok
Regression test for #1375. ... ok
test_subclassing (test_fitpack.TestUnivariateSpline) ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_dense ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_linear_smoketest ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_quadratic_smoketest ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_wrong_ndim ... ok
test_interpnd.TestEstimateGradients2DGlobal.test_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_complex_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_smoketest_alternate ... ok
test_interpnd.TestLinearNDInterpolation.test_square ... ok
test_interpolate.TestInterp1D.test_bounds ... ok
test_interpolate.TestInterp1D.test_complex ... ok
Check the actual implementation of spline interpolation. ... ok
Check that the attributes are initialized appropriately by the ... ok
Check the actual implementation of linear interpolation. ... ok
test_interpolate.TestInterp1D.test_nd ... ok
test_interpolate.TestInterp1D.test_nd_zero_spline ... KNOWNFAIL: zero-order splines fail for the last point
Check the actual implementation of nearest-neighbour interpolation. ... ok
Make sure that appropriate exceptions are raised when invalid values ... ok
Check the actual implementation of zero-order spline interpolation. ... KNOWNFAIL: zero-order splines fail for the last point
test_interp2d (test_interpolate.TestInterp2D) ... ok
test_interp2d_meshgrid_input (test_interpolate.TestInterp2D) ... ok
test_lagrange (test_interpolate.TestLagrange) ... ok
test_block_average_above (test_interpolate_wrapper.Test) ... ok
test_linear (test_interpolate_wrapper.Test) ... ok
test_linear2 (test_interpolate_wrapper.Test) ... ok
test_logarithmic (test_interpolate_wrapper.Test) ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/numpy/core/numeric.py:1920: RuntimeWarning: invalid value encountered in absolute
  return all(less_equal(absolute(x-y), atol + rtol * absolute(y)))
ok
test_nearest (test_interpolate_wrapper.Test) ... ok
test_ndgriddata.TestGriddata.test_1d ... ok
test_ndgriddata.TestGriddata.test_1d_unsorted ... ok
test_ndgriddata.TestGriddata.test_alternative_call ... ok
test_ndgriddata.TestGriddata.test_complex_2d ... ok
test_ndgriddata.TestGriddata.test_fill_value ... ok
test_ndgriddata.TestGriddata.test_multipoint_2d ... ok
test_ndgriddata.TestGriddata.test_multivalue_2d ... ok
test_append (test_polyint.CheckBarycentric) ... ok
test_delayed (test_polyint.CheckBarycentric) ... ok
test_lagrange (test_polyint.CheckBarycentric) ... ok
test_scalar (test_polyint.CheckBarycentric) ... ok
test_shapes_1d_vectorvalue (test_polyint.CheckBarycentric) ... ok
test_shapes_scalarvalue (test_polyint.CheckBarycentric) ... ok
test_shapes_vectorvalue (test_polyint.CheckBarycentric) ... ok
test_vector (test_polyint.CheckBarycentric) ... ok
test_wrapper (test_polyint.CheckBarycentric) ... ok
test_derivative (test_polyint.CheckKrogh) ... ok
test_derivatives (test_polyint.CheckKrogh) ... ok
test_empty (test_polyint.CheckKrogh) ... ok
test_hermite (test_polyint.CheckKrogh) ... ok
test_high_derivative (test_polyint.CheckKrogh) ... ok
test_lagrange (test_polyint.CheckKrogh) ... ok
test_low_derivatives (test_polyint.CheckKrogh) ... ok
test_scalar (test_polyint.CheckKrogh) ... ok
test_shapes_1d_vectorvalue (test_polyint.CheckKrogh) ... ok
test_shapes_scalarvalue (test_polyint.CheckKrogh) ... ok
test_shapes_scalarvalue_derivative (test_polyint.CheckKrogh) ... ok
test_shapes_vectorvalue (test_polyint.CheckKrogh) ... ok
test_shapes_vectorvalue_derivative (test_polyint.CheckKrogh) ... ok
test_vector (test_polyint.CheckKrogh) ... ok
test_wrapper (test_polyint.CheckKrogh) ... ok
test_construction (test_polyint.CheckPiecewise) ... ok
test_derivative (test_polyint.CheckPiecewise) ... ok
test_derivatives (test_polyint.CheckPiecewise) ... ok
test_incremental (test_polyint.CheckPiecewise) ... ok
test_scalar (test_polyint.CheckPiecewise) ... ok
test_shapes_scalarvalue (test_polyint.CheckPiecewise) ... ok
test_shapes_scalarvalue_derivative (test_polyint.CheckPiecewise) ... ok
test_shapes_vectorvalue (test_polyint.CheckPiecewise) ... ok
test_shapes_vectorvalue_1d (test_polyint.CheckPiecewise) ... ok
test_shapes_vectorvalue_derivative (test_polyint.CheckPiecewise) ... ok
test_vector (test_polyint.CheckPiecewise) ... ok
test_wrapper (test_polyint.CheckPiecewise) ... ok
test_exponential (test_polyint.CheckTaylor) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_regularity('multiquadric', 0.05) ... ok
test_rbf.test_rbf_regularity('inverse multiquadric', 0.02) ... ok
test_rbf.test_rbf_regularity('gaussian', 0.01) ... ok
test_rbf.test_rbf_regularity('cubic', 0.15) ... ok
test_rbf.test_rbf_regularity('quintic', 0.1) ... ok
test_rbf.test_rbf_regularity('thin-plate', 0.1) ... ok
test_rbf.test_rbf_regularity('linear', 0.2) ... ok
Check that the Rbf class can be constructed with the default ... ok
Check that the Rbf class can be constructed with function=callable. ... ok
Check that the Rbf class can be constructed with a two argument ... ok
Ticket #629 ... ok
Parsing trivial file with nothing. ... ok
Parsing trivial file with some comments in the data section. ... ok
Test reading from file-like object (StringIO) ... ok
Test parsing wrong type of attribute from their value. ... ok
Parsing trivial header with nothing. ... ok
Test parsing type of attribute from their value. ... ok
test_missing (test_arffread.MissingDataTest) ... ok
test_from_number (test_fortran_format.TestExpFormat) ... ok
test_to_fortran (test_fortran_format.TestExpFormat) ... ok
test_exp_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_repeat_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_repeat_exp_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_int (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_repeated_int (test_fortran_format.TestFortranFormatParser) ... ok
test_wrong_formats (test_fortran_format.TestFortranFormatParser) ... ok
test_from_number (test_fortran_format.TestIntFormat) ... ok
test_to_fortran (test_fortran_format.TestIntFormat) ... ok
test_simple (test_hb.TestHBReader) ... ok
test_simple (test_hb.TestRBRoundtrip) ... ok
test_byteordercodes.test_native ... ok
test_byteordercodes.test_to_numpy ... ok
test_mio.test_load('double', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.4_GLNX86.mat'], {'testdouble': array([[ 0.        ,  0.78539816,  1.57079633,  2.35619449,  3.14159265, ... ok
test_mio.test_load('string', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.4_GLNX86.mat'], {'teststring': array([u'"Do nine men interpret?" "Nine men," I nod.'], ... ok
test_mio.test_load('complex', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.4_GLNX86.mat'], {'testcomplex': array([[  1.00000000e+00 +0.00000000e+00j, ... ok
test_mio.test_load('matrix', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat'], {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_load('sparse', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_load('sparsecomplex', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_load('multi', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.4_GLNX86.mat'], {'a': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_load('minus', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat'], {'testminus': array([[-1]])}) ... ok
test_mio.test_load('onechar', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.4_GLNX86.mat'], {'testonechar': array([u'r'], ... ok
test_mio.test_load('cell', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat'], {'testcell': array([[[u'This cell contains this string and 3 arrays of increasing length'], ... ok
test_mio.test_load('scalarcell', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat'], {'testscalarcell': array([[[[1]]]], dtype=object)}) ... ok
test_mio.test_load('emptycell', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat'], {'testemptycell': array([[[[1]], [[2]], [], [], [[3]]]], dtype=object)}) ... ok
test_mio.test_load('stringarray', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.4_GLNX86.mat'], {'teststringarray': array([u'one  ', u'two  ', u'three'], ... ok
test_mio.test_load('3dmatrix', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.4_GLNX86.mat'], {'test3dmatrix': array([[[ 1,  7, 13, 19], ... ok
test_mio.test_load('struct', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.4_GLNX86.mat'], {'teststruct': array([[ ([u'Rats live on no evil star.'], [[1.4142135623730951, 2.718281828459045, 3.141592653589793]], [[(1.4142135623730951+1.4142135623730951j), (2.718281828459045+2.718281828459045j), (3.141592653589793+3.141592653589793j)]])]], ... ok
test_mio.test_load('cellnest', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat'], {'testcellnest': array([[[[1]], [[[[2]] [[3]] [[[[4]] [[5]]]]]]]], dtype=object)}) ... ok
test_mio.test_load('structnest', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.4_GLNX86.mat'], {'teststructnest': array([[([[1]], [[(array([u'number 3'], ... ok
test_mio.test_load('structarr', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat'], {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
test_mio.test_load('object', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.4_GLNX86.mat'], {'testobject': MatlabObject([[([u'x'], [u' x = INLINE_INPUTS_{1};'], [u'x'], [[0]], [[1]], [[1]])]], ... ok
test_mio.test_load('unicode', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.4_GLNX86.mat'], {'testunicode': array([ u'Japanese: \n\u3059\u3079\u3066\u306e\u4eba\u9593\u306f\u3001\u751f\u307e\u308c\u306a\u304c\u3089\u306b\u3057\u3066\u81ea\u7531\u3067\u3042\u308a\u3001\n\u304b\u3064\u3001\u5c0a\u53b3\u3068\u6a29\u5229\u3068 \u306b\u3064\u3044\u3066\u5e73\u7b49\u3067\u3042\u308b\u3002\n\u4eba\u9593\u306f\u3001\u7406\u6027\u3068\u826f\u5fc3\u3068\u3092\u6388\u3051\u3089\u308c\u3066\u304a\u308a\u3001\n\u4e92\u3044\u306b\u540c\u80de\u306e\u7cbe\u795e\u3092\u3082\u3063\u3066\u884c\u52d5\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002'], ... ok
test_mio.test_load('sparse', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_load('sparsecomplex', ['/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_round_trip('double_round_trip', {'testdouble': array([[ 0.        ,  0.78539816,  1.57079633,  2.35619449,  3.14159265, ... ok
test_mio.test_round_trip('string_round_trip', {'teststring': array([u'"Do nine men interpret?" "Nine men," I nod.'], ... ok
test_mio.test_round_trip('complex_round_trip', {'testcomplex': array([[  1.00000000e+00 +0.00000000e+00j, ... ok
test_mio.test_round_trip('matrix_round_trip', {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_round_trip('sparse_round_trip', {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_round_trip('sparsecomplex_round_trip', {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_round_trip('multi_round_trip', {'a': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_round_trip('minus_round_trip', {'testminus': array([[-1]])}, '4') ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('cell_round_trip', {'testcell': array([[[u'This cell contains this string and 3 arrays of increasing length'], ... ok
test_mio.test_round_trip('scalarcell_round_trip', {'testscalarcell': array([[[[1]]]], dtype=object)}, '5') ... ok
test_mio.test_round_trip('emptycell_round_trip', {'testemptycell': array([[[[1]], [[2]], [], [], [[3]]]], dtype=object)}, '5') ... ok
test_mio.test_round_trip('stringarray_round_trip', {'teststringarray': array([u'one  ', u'two  ', u'three'], ... ok
test_mio.test_round_trip('3dmatrix_round_trip', {'test3dmatrix': array([[[ 1,  7, 13, 19], ... ok
test_mio.test_round_trip('struct_round_trip', {'teststruct': array([[ ([u'Rats live on no evil star.'], [[1.4142135623730951, 2.718281828459045, 3.141592653589793]], [[(1.4142135623730951+1.4142135623730951j), (2.718281828459045+2.718281828459045j), (3.141592653589793+3.141592653589793j)]])]], ... ok
test_mio.test_round_trip('cellnest_round_trip', {'testcellnest': array([[[[1]], [[[[2]] [[3]] [[[[4]] [[5]]]]]]]], dtype=object)}, '5') ... ok
test_mio.test_round_trip('structnest_round_trip', {'teststructnest': array([[([[1]], [[(array([u'number 3'], ... ok
test_mio.test_round_trip('structarr_round_trip', {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
test_mio.test_round_trip('object_round_trip', {'testobject': MatlabObject([[([u'x'], [u' x = INLINE_INPUTS_{1};'], [u'x'], [[0]], [[1]], [[1]])]], ... ok
test_mio.test_round_trip('unicode_round_trip', {'testunicode': array([ u'Japanese: \n\u3059\u3079\u3066\u306e\u4eba\u9593\u306f\u3001\u751f\u307e\u308c\u306a\u304c\u3089\u306b\u3057\u3066\u81ea\u7531\u3067\u3042\u308a\u3001\n\u304b\u3064\u3001\u5c0a\u53b3\u3068\u6a29\u5229\u3068 \u306b\u3064\u3044\u3066\u5e73\u7b49\u3067\u3042\u308b\u3002\n\u4eba\u9593\u306f\u3001\u7406\u6027\u3068\u826f\u5fc3\u3068\u3092\u6388\u3051\u3089\u308c\u3066\u304a\u308a\u3001\n\u4e92\u3044\u306b\u540c\u80de\u306e\u7cbe\u795e\u3092\u3082\u3063\u3066\u884c\u52d5\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002'], ... ok
test_mio.test_round_trip('sparse_round_trip', {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_round_trip('sparsecomplex_round_trip', {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_round_trip('objectarray_round_trip', {'testobjectarray': MatlabObject([[([u'x'], [u' x = INLINE_INPUTS_{1};'], [u'x'], [[0]], [[1]], [[1]]), ... ok
test_mio.test_gzip_simple ... ok
test_mio.test_multiple_open ... ok
test_mio.test_mat73 ... ok
test_mio.test_warnings(<type 'exceptions.DeprecationWarning'>, <function find_mat_file at 0x1037330c8>, '/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat') ... ok
Regression test for #653. ... ok
test_mio.test_structname_len ... ok
test_mio.test_4_and_long_field_names_incompatible ... ok
test_mio.test_long_field_names ... ok
test_mio.test_long_field_names_in_struct ... ok
test_mio.test_cell_with_one_thing_in_it ... ok
test_mio.test_writer_properties([], []) ... ok
test_mio.test_writer_properties(['avar'], ['avar']) ... ok
test_mio.test_writer_properties(False, False) ... ok
test_mio.test_writer_properties(True, True) ... ok
test_mio.test_writer_properties(False, False) ... ok
test_mio.test_writer_properties(True, True) ... ok
test_mio.test_use_small_element(True,) ... ok
test_mio.test_use_small_element(True,) ... ok
test_mio.test_save_dict ... ok
test_mio.test_1d_shape ... ok
test_mio.test_compression(array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(True,) ... ok
test_mio.test_compression(array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_single_object ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_empty_struct ... ok
test_mio.test_recarray(array([[ 0.5]]), 0.5) ... ok
test_mio.test_recarray(array([u'python'], ... ok
test_mio.test_recarray(array([[ 0.5]]), 0.5) ... ok
test_mio.test_recarray(array([u'python'], ... ok
test_mio.test_recarray(dtype([('f1', '|O8'), ('f2', '|O8')]), dtype([('f1', '|O8'), ('f2', '|O8')])) ... ok
test_mio.test_recarray(array([[ 99.]]), 99) ... ok
test_mio.test_recarray(array([u'not perl'], ... ok
test_mio.test_save_object ... ok
test_mio.test_read_opts ... ok
test_mio.test_empty_string ... ok
test_mio.test_mat4_3d ... ok
test_mio.test_func_read(True,) ... ok
test_mio.test_func_read(<class 'scipy.io.matlab.miobase.MatWriteError'>, <bound method MatFile5Writer.put_variables of <scipy.io.matlab.mio5.MatFile5Writer object at 0x101279a50>>, {'__version__': '1.0', '__header__': 'MATLAB 5.0 MAT-file, Platform: GLNX86, Created on: Fri Feb 20 15:26:59 2009', 'testfunc': MatlabFunction([[ ([u'/opt/matlab-2007a'], [u'/'], [u'@'], [[(array([u'afunc'], ... ok
test_mio.test_mat_dtype('u', 'u') ... ok
test_mio.test_mat_dtype('f', 'f') ... ok
test_mio.test_sparse_in_struct(matrix([[ 1.,  0.,  0.,  0.], ... ok
test_mio.test_mat_struct_squeeze ... ok
test_mio.test_str_round ... ok
test_mio.test_fieldnames ... ok
test_mio.test_loadmat_varnames ... ok
test_mio.test_round_types ... ok
test_mio.test_varmats_from_mat ... ok
Test 1x0 chars get read correctly ... ok
test_mio5_utils.test_byteswap(16777216L, 16777216L) ... ok
test_mio5_utils.test_byteswap(1L, 1L) ... ok
test_mio5_utils.test_byteswap(65536L, 65536L) ... ok
test_mio5_utils.test_byteswap(256L, 256L) ... ok
test_mio5_utils.test_byteswap(256L, 256L) ... ok
test_mio5_utils.test_byteswap(65536L, 65536L) ... ok
test_mio5_utils.test_read_tag(<type 'exceptions.IOError'>, <built-in method read_tag of scipy.io.matlab.mio5_utils.VarReader5 object at 0x105e26500>) ... ok
test_mio5_utils.test_read_tag(<type 'exceptions.ValueError'>, <built-in method read_tag of scipy.io.matlab.mio5_utils.VarReader5 object at 0x105e26500>) ... ok
test_mio5_utils.test_read_stream('\x05\x00\x04\x00\x01\x00\x00\x00', '\x05\x00\x04\x00\x01\x00\x00\x00') ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(array([30], dtype=uint16), 30) ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(array([1], dtype=int32), 1) ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(0, False) ... ok
test_mio5_utils.test_read_numeric(1, True) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric(array([-1], dtype=int16), -1) ... ok
test_mio5_utils.test_read_numeric_writeable(True,) ... ok
test_mio5_utils.test_zero_byte_string ... ok
test_mio_funcs.test_jottings ... ok
test_mio_utils.test_cproduct ... ok
test_mio_utils.test_squeeze_element ... ok
test_mio_utils.test_chars_strings ... ok
test_pathological.test_multiple_fieldnames ... ok
test_streams.test_make_stream ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.FileStream object at 0x10127aab8>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.FileStream object at 0x10127aab8>, 2) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.GenericStream object at 0x10127ce50>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.GenericStream object at 0x10127ce50>, 2) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.cStringStream object at 0x101290b10>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.cStringStream object at 0x101290b10>, 2) ... ok
test_idl.TestArrayDimensions.test_1d ... ok
test_idl.TestArrayDimensions.test_2d ... ok
test_idl.TestArrayDimensions.test_3d ... ok
test_idl.TestArrayDimensions.test_4d ... ok
test_idl.TestArrayDimensions.test_5d ... ok
test_idl.TestArrayDimensions.test_6d ... ok
test_idl.TestArrayDimensions.test_7d ... ok
test_idl.TestArrayDimensions.test_8d ... ok
test_idl.TestCompressed.test_byte ... ok
test_idl.TestCompressed.test_bytes ... ok
test_idl.TestCompressed.test_complex32 ... ok
test_idl.TestCompressed.test_complex64 ... ok
test_idl.TestCompressed.test_compressed ... ok
test_idl.TestCompressed.test_float32 ... ok
test_idl.TestCompressed.test_float64 ... ok
test_idl.TestCompressed.test_heap_pointer ... ok
test_idl.TestCompressed.test_int16 ... ok
test_idl.TestCompressed.test_int32 ... ok
test_idl.TestCompressed.test_int64 ... ok
test_idl.TestCompressed.test_object_reference ... ok
test_idl.TestCompressed.test_structure ... ok
test_idl.TestCompressed.test_uint16 ... ok
test_idl.TestCompressed.test_uint32 ... ok
test_idl.TestCompressed.test_uint64 ... ok
test_idl.TestIdict.test_idict ... ok
test_idl.TestPointerArray.test_1d ... ok
test_idl.TestPointerArray.test_2d ... ok
test_idl.TestPointerArray.test_3d ... ok
test_idl.TestPointerArray.test_4d ... ok
test_idl.TestPointerArray.test_5d ... ok
test_idl.TestPointerArray.test_6d ... ok
test_idl.TestPointerArray.test_7d ... ok
test_idl.TestPointerArray.test_8d ... ok
test_idl.TestPointerStructures.test_arrays ... ok
test_idl.TestPointerStructures.test_arrays_replicated ... ok
test_idl.TestPointerStructures.test_arrays_replicated_3d ... ok
test_idl.TestPointerStructures.test_pointers_replicated ... ok
test_idl.TestPointerStructures.test_pointers_replicated_3d ... ok
test_idl.TestPointerStructures.test_scalars ... ok
test_idl.TestPointers.test_pointers ... ok
test_idl.TestScalars.test_byte ... ok
test_idl.TestScalars.test_bytes ... ok
test_idl.TestScalars.test_complex32 ... ok
test_idl.TestScalars.test_complex64 ... ok
test_idl.TestScalars.test_float32 ... ok
test_idl.TestScalars.test_float64 ... ok
test_idl.TestScalars.test_heap_pointer ... ok
test_idl.TestScalars.test_int16 ... ok
test_idl.TestScalars.test_int32 ... ok
test_idl.TestScalars.test_int64 ... ok
test_idl.TestScalars.test_object_reference ... ok
test_idl.TestScalars.test_structure ... ok
test_idl.TestScalars.test_uint16 ... ok
test_idl.TestScalars.test_uint32 ... ok
test_idl.TestScalars.test_uint64 ... ok
test_idl.TestStructures.test_arrays ... ok
test_idl.TestStructures.test_arrays_replicated ... ok
test_idl.TestStructures.test_arrays_replicated_3d ... ok
test_idl.TestStructures.test_inheritance ... ok
test_idl.TestStructures.test_scalars ... ok
test_idl.TestStructures.test_scalars_replicated ... ok
test_idl.TestStructures.test_scalars_replicated_3d ... ok
test_random_rect_real (test_mmio.TestMMIOArray) ... ok
test_random_symmetric_real (test_mmio.TestMMIOArray) ... ok
test_simple (test_mmio.TestMMIOArray) ... ok
test_simple_complex (test_mmio.TestMMIOArray) ... ok
test_simple_hermitian (test_mmio.TestMMIOArray) ... ok
test_simple_real (test_mmio.TestMMIOArray) ... ok
test_simple_rectangular (test_mmio.TestMMIOArray) ... ok
test_simple_rectangular_real (test_mmio.TestMMIOArray) ... ok
test_simple_skew_symmetric (test_mmio.TestMMIOArray) ... ok
test_simple_skew_symmetric_float (test_mmio.TestMMIOArray) ... ok
test_simple_symmetric (test_mmio.TestMMIOArray) ... ok
test_complex_write_read (test_mmio.TestMMIOCoordinate) ... ok
test_empty_write_read (test_mmio.TestMMIOCoordinate) ... ok
read a general matrix ... ok
read a hermitian matrix ... ok
read a skew-symmetric matrix ... ok
read a symmetric matrix ... ok
read a symmetric pattern matrix ... ok
test_real_write_read (test_mmio.TestMMIOCoordinate) ... ok
test_sparse_formats (test_mmio.TestMMIOCoordinate) ... ok
test_netcdf.test_read_write_files(True,) ... ok
test_netcdf.test_read_write_files('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_files('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_files((11,), (11,)) ... ok
test_netcdf.test_read_write_files(10, 10) ... ok
test_netcdf.test_read_write_files(False,) ... ok
test_netcdf.test_read_write_files('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_files('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_files((11,), (11,)) ... ok
test_netcdf.test_read_write_files(10, 10) ... ok
test_netcdf.test_read_write_files(False,) ... ok
test_netcdf.test_read_write_files('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_files('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_files((11,), (11,)) ... ok
test_netcdf.test_read_write_files(10, 10) ... ok
test_netcdf.test_read_write_sio('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_sio('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_sio((11,), (11,)) ... ok
test_netcdf.test_read_write_sio(10, 10) ... ok
test_netcdf.test_read_write_sio(<type 'exceptions.ValueError'>, <class 'scipy.io.netcdf.netcdf_file'>, <StringIO.StringIO instance at 0x1050c8a70>, 'r', True) ... ok
test_netcdf.test_read_write_sio('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_sio('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_sio((11,), (11,)) ... ok
test_netcdf.test_read_write_sio(10, 10) ... ok
test_netcdf.test_read_write_sio(2, 2) ... ok
test_netcdf.test_read_write_sio('Created for a test', 'Created for a test') ... ok
test_netcdf.test_read_write_sio('days since 2008-01-01', 'days since 2008-01-01') ... ok
test_netcdf.test_read_write_sio((11,), (11,)) ... ok
test_netcdf.test_read_write_sio(10, 10) ... ok
test_netcdf.test_read_write_sio(2, 2) ... ok
test_netcdf.test_read_example_data ... ok
test_netcdf.test_write_invalid_dtype(<type 'exceptions.ValueError'>, <bound method netcdf_file.createVariable of <scipy.io.netcdf.netcdf_file object at 0x1050c7d50>>, 'time', 'int64', ('time',)) ... ok
test_netcdf.test_write_invalid_dtype(<type 'exceptions.ValueError'>, <bound method netcdf_file.createVariable of <scipy.io.netcdf.netcdf_file object at 0x1050c7d50>>, 'time', 'uint64', ('time',)) ... ok
test_netcdf.test_write_invalid_dtype(<type 'exceptions.ValueError'>, <bound method netcdf_file.createVariable of <scipy.io.netcdf.netcdf_file object at 0x1050c7d50>>, 'time', 'int', ('time',)) ... ok
test_netcdf.test_write_invalid_dtype(<type 'exceptions.ValueError'>, <bound method netcdf_file.createVariable of <scipy.io.netcdf.netcdf_file object at 0x1050c7d50>>, 'time', 'uint', ('time',)) ... ok
test_wavfile.test_read_1 ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/wavfile.py:31: WavFileWarning: Unfamiliar format bytes
  warnings.warn("Unfamiliar format bytes", WavFileWarning)
/usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/io/wavfile.py:121: WavFileWarning: chunk not understood
  warnings.warn("chunk not understood", WavFileWarning)
ok
test_wavfile.test_read_2 ... ok
test_wavfile.test_read_fail ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u2'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u2'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u2'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u2'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u2'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u2'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint16'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint16'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint16'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint16'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint16'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint16'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u4'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u4'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u4'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u4'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u4'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u4'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint32'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint32'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint32'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint32'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint32'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint32'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u8'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u8'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('>u8'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u8'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u8'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('>u8'), 5) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint64'), 1) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint64'), 2) ... ok
test_wavfile.test_write_roundtrip(8000, dtype('uint64'), 5) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint64'), 1) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint64'), 2) ... ok
test_wavfile.test_write_roundtrip(32000, dtype('uint64'), 5) ... ok
test_blas (test_blas.TestBLAS) ... ok
test_axpy (test_blas.TestCBLAS1Simple) ... ok
test_amax (test_blas.TestFBLAS1Simple) ... ok
test_asum (test_blas.TestFBLAS1Simple) ... FAIL
test_axpy (test_blas.TestFBLAS1Simple) ... ok
test_copy (test_blas.TestFBLAS1Simple) ... ok
test_dot (test_blas.TestFBLAS1Simple) ... FAIL
test_nrm2 (test_blas.TestFBLAS1Simple) ... FAIL
test_scal (test_blas.TestFBLAS1Simple) ... ok
test_swap (test_blas.TestFBLAS1Simple) ... ok
test_gemv (test_blas.TestFBLAS2Simple) ... ok
test_ger (test_blas.TestFBLAS2Simple) ... ok
test_gemm (test_blas.TestFBLAS3Simple) ... ok
test_gemm2 (test_blas.TestFBLAS3Simple) ... ok
test_default_a (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCaxpy) ... ok
test_x_and_y_stride (test_fblas.TestCaxpy) ... ok
test_x_bad_size (test_fblas.TestCaxpy) ... ok
test_x_stride (test_fblas.TestCaxpy) ... ok
test_y_bad_size (test_fblas.TestCaxpy) ... ok
test_y_stride (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCcopy) ... ok
test_x_and_y_stride (test_fblas.TestCcopy) ... ok
test_x_bad_size (test_fblas.TestCcopy) ... ok
test_x_stride (test_fblas.TestCcopy) ... ok
test_y_bad_size (test_fblas.TestCcopy) ... ok
test_y_stride (test_fblas.TestCcopy) ... ok
test_default_beta_y (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCgemv) ... ok
test_simple_transpose (test_fblas.TestCgemv) ... ok
test_simple_transpose_conj (test_fblas.TestCgemv) ... ok
test_x_stride (test_fblas.TestCgemv) ... ok
test_x_stride_assert (test_fblas.TestCgemv) ... ok
test_x_stride_transpose (test_fblas.TestCgemv) ... ok
test_y_stride (test_fblas.TestCgemv) ... ok
test_y_stride_assert (test_fblas.TestCgemv) ... ok
test_y_stride_transpose (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCscal) ... ok
test_x_bad_size (test_fblas.TestCscal) ... ok
test_x_stride (test_fblas.TestCscal) ... ok
test_simple (test_fblas.TestCswap) ... ok
test_x_and_y_stride (test_fblas.TestCswap) ... ok
test_x_bad_size (test_fblas.TestCswap) ... ok
test_x_stride (test_fblas.TestCswap) ... ok
test_y_bad_size (test_fblas.TestCswap) ... ok
test_y_stride (test_fblas.TestCswap) ... ok
test_default_a (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDaxpy) ... ok
test_x_and_y_stride (test_fblas.TestDaxpy) ... ok
test_x_bad_size (test_fblas.TestDaxpy) ... ok
test_x_stride (test_fblas.TestDaxpy) ... ok
test_y_bad_size (test_fblas.TestDaxpy) ... ok
test_y_stride (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDcopy) ... ok
test_x_and_y_stride (test_fblas.TestDcopy) ... ok
test_x_bad_size (test_fblas.TestDcopy) ... ok
test_x_stride (test_fblas.TestDcopy) ... ok
test_y_bad_size (test_fblas.TestDcopy) ... ok
test_y_stride (test_fblas.TestDcopy) ... ok
test_default_beta_y (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDgemv) ... ok
test_simple_transpose (test_fblas.TestDgemv) ... ok
test_simple_transpose_conj (test_fblas.TestDgemv) ... ok
test_x_stride (test_fblas.TestDgemv) ... ok
test_x_stride_assert (test_fblas.TestDgemv) ... ok
test_x_stride_transpose (test_fblas.TestDgemv) ... ok
test_y_stride (test_fblas.TestDgemv) ... ok
test_y_stride_assert (test_fblas.TestDgemv) ... ok
test_y_stride_transpose (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDscal) ... ok
test_x_bad_size (test_fblas.TestDscal) ... ok
test_x_stride (test_fblas.TestDscal) ... ok
test_simple (test_fblas.TestDswap) ... ok
test_x_and_y_stride (test_fblas.TestDswap) ... ok
test_x_bad_size (test_fblas.TestDswap) ... ok
test_x_stride (test_fblas.TestDswap) ... ok
test_y_bad_size (test_fblas.TestDswap) ... ok
test_y_stride (test_fblas.TestDswap) ... ok
test_default_a (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestSaxpy) ... ok
test_x_and_y_stride (test_fblas.TestSaxpy) ... ok
test_x_bad_size (test_fblas.TestSaxpy) ... ok
test_x_stride (test_fblas.TestSaxpy) ... ok
test_y_bad_size (test_fblas.TestSaxpy) ... ok
test_y_stride (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestScopy) ... ok
test_x_and_y_stride (test_fblas.TestScopy) ... ok
test_x_bad_size (test_fblas.TestScopy) ... ok
test_x_stride (test_fblas.TestScopy) ... ok
test_y_bad_size (test_fblas.TestScopy) ... ok
test_y_stride (test_fblas.TestScopy) ... ok
test_default_beta_y (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSgemv) ... ok
test_simple_transpose (test_fblas.TestSgemv) ... ok
test_simple_transpose_conj (test_fblas.TestSgemv) ... ok
test_x_stride (test_fblas.TestSgemv) ... ok
test_x_stride_assert (test_fblas.TestSgemv) ... ok
test_x_stride_transpose (test_fblas.TestSgemv) ... ok
test_y_stride (test_fblas.TestSgemv) ... ok
test_y_stride_assert (test_fblas.TestSgemv) ... ok
test_y_stride_transpose (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSscal) ... ok
test_x_bad_size (test_fblas.TestSscal) ... ok
test_x_stride (test_fblas.TestSscal) ... ok
test_simple (test_fblas.TestSswap) ... ok
test_x_and_y_stride (test_fblas.TestSswap) ... ok
test_x_bad_size (test_fblas.TestSswap) ... ok
test_x_stride (test_fblas.TestSswap) ... ok
test_y_bad_size (test_fblas.TestSswap) ... ok
test_y_stride (test_fblas.TestSswap) ... ok
test_default_a (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZaxpy) ... ok
test_x_and_y_stride (test_fblas.TestZaxpy) ... ok
test_x_bad_size (test_fblas.TestZaxpy) ... ok
test_x_stride (test_fblas.TestZaxpy) ... ok
test_y_bad_size (test_fblas.TestZaxpy) ... ok
test_y_stride (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZcopy) ... ok
test_x_and_y_stride (test_fblas.TestZcopy) ... ok
test_x_bad_size (test_fblas.TestZcopy) ... ok
test_x_stride (test_fblas.TestZcopy) ... ok
test_y_bad_size (test_fblas.TestZcopy) ... ok
test_y_stride (test_fblas.TestZcopy) ... ok
test_default_beta_y (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZgemv) ... ok
test_simple_transpose (test_fblas.TestZgemv) ... ok
test_simple_transpose_conj (test_fblas.TestZgemv) ... ok
test_x_stride (test_fblas.TestZgemv) ... ok
test_x_stride_assert (test_fblas.TestZgemv) ... ok
test_x_stride_transpose (test_fblas.TestZgemv) ... ok
test_y_stride (test_fblas.TestZgemv) ... ok
test_y_stride_assert (test_fblas.TestZgemv) ... ok
test_y_stride_transpose (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZscal) ... ok
test_x_bad_size (test_fblas.TestZscal) ... ok
test_x_stride (test_fblas.TestZscal) ... ok
test_simple (test_fblas.TestZswap) ... ok
test_x_and_y_stride (test_fblas.TestZswap) ... ok
test_x_bad_size (test_fblas.TestZswap) ... ok
test_x_stride (test_fblas.TestZswap) ... ok
test_y_bad_size (test_fblas.TestZswap) ... ok
test_y_stride (test_fblas.TestZswap) ... ok
test_clapack_dsyev (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_dsyev
Clapack empty, skip clapack test
test_clapack_dsyevr (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_dsyevr
Clapack empty, skip clapack test
test_clapack_dsyevr_ranges (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_dsyevr_ranges
Clapack empty, skip clapack test
test_clapack_ssyev (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_ssyev
Clapack empty, skip clapack test
test_clapack_ssyevr (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_ssyevr
Clapack empty, skip clapack test
test_clapack_ssyevr_ranges (test_esv.TestEsv) ... SKIP: Skipping test: test_clapack_ssyevr_ranges
Clapack empty, skip clapack test
test_dsyev (test_esv.TestEsv) ... ok
test_dsyevr (test_esv.TestEsv) ... ok
test_dsyevr_ranges (test_esv.TestEsv) ... ok
test_ssyev (test_esv.TestEsv) ... ok
test_ssyevr (test_esv.TestEsv) ... ok
test_ssyevr_ranges (test_esv.TestEsv) ... ok
test_clapack_dsygv_1 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_dsygv_1
Clapack empty, skip flapack test
test_clapack_dsygv_2 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_dsygv_2
Clapack empty, skip flapack test
test_clapack_dsygv_3 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_dsygv_3
Clapack empty, skip flapack test
test_clapack_ssygv_1 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_ssygv_1
Clapack empty, skip flapack test
test_clapack_ssygv_2 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_ssygv_2
Clapack empty, skip flapack test
test_clapack_ssygv_3 (test_gesv.TestSygv) ... SKIP: Skipping test: test_clapack_ssygv_3
Clapack empty, skip flapack test
test_dsygv_1 (test_gesv.TestSygv) ... ok
test_dsygv_2 (test_gesv.TestSygv) ... ok
test_dsygv_3 (test_gesv.TestSygv) ... ok
test_ssygv_1 (test_gesv.TestSygv) ... ok
test_ssygv_2 (test_gesv.TestSygv) ... ok
test_ssygv_3 (test_gesv.TestSygv) ... ok
test_clapack_dgebal (test_lapack.TestLapack) ... SKIP: Skipping test: test_clapack_dgebal
Clapack empty, skip flapack test
test_clapack_dgehrd (test_lapack.TestLapack) ... SKIP: Skipping test: test_clapack_dgehrd
Clapack empty, skip flapack test
test_clapack_sgebal (test_lapack.TestLapack) ... SKIP: Skipping test: test_clapack_sgebal
Clapack empty, skip flapack test
test_clapack_sgehrd (test_lapack.TestLapack) ... SKIP: Skipping test: test_clapack_sgehrd
Clapack empty, skip flapack test
test_dgebal (test_lapack.TestLapack) ... ok
test_dgehrd (test_lapack.TestLapack) ... ok
test_sgebal (test_lapack.TestLapack) ... ok
test_sgehrd (test_lapack.TestLapack) ... ok
test_random (test_basic.TestDet) ... ok
test_random_complex (test_basic.TestDet) ... ok
test_simple (test_basic.TestDet) ... ok
test_simple_complex (test_basic.TestDet) ... ok
test_random (test_basic.TestInv) ... ok
test_random_complex (test_basic.TestInv) ... ok
test_simple (test_basic.TestInv) ... ok
test_simple_complex (test_basic.TestInv) ... ok
test_random_complex_exact (test_basic.TestLstsq) ... ok
test_random_complex_overdet (test_basic.TestLstsq) ... ok
test_random_exact (test_basic.TestLstsq) ... ok
test_random_overdet (test_basic.TestLstsq) ... ok
test_random_overdet_large (test_basic.TestLstsq) ... ok
test_simple_exact (test_basic.TestLstsq) ... ok
test_simple_overdet (test_basic.TestLstsq) ... ok
test_simple_overdet_complex (test_basic.TestLstsq) ... ok
test_simple_underdet (test_basic.TestLstsq) ... ok
test_basic.TestNorm.test_overflow ... FAIL
test_basic.TestNorm.test_stable ... FAIL
test_basic.TestNorm.test_types ... FAIL
test_basic.TestNorm.test_zero_norm ... ok
test_basic.TestOverwrite.test_det ... ok
test_basic.TestOverwrite.test_inv ... ok
test_basic.TestOverwrite.test_lstsq ... ok
test_basic.TestOverwrite.test_pinv ... ok
test_basic.TestOverwrite.test_pinv2 ... ok
test_basic.TestOverwrite.test_solve ... ok
test_basic.TestOverwrite.test_solve_banded ... ok
test_basic.TestOverwrite.test_solve_triangular ... ok
test_basic.TestOverwrite.test_solveh_banded ... ok
test_simple (test_basic.TestPinv) ... ok
test_simple_0det (test_basic.TestPinv) ... ok
test_simple_cols (test_basic.TestPinv) ... ok
test_simple_rows (test_basic.TestPinv) ... ok
test_20Feb04_bug (test_basic.TestSolve) ... ok
test_nils_20Feb04 (test_basic.TestSolve) ... ok
test_random (test_basic.TestSolve) ... ok
test_random_complex (test_basic.TestSolve) ... ok
test_random_sym (test_basic.TestSolve) ... ok
test_random_sym_complex (test_basic.TestSolve) ... ok
test_simple (test_basic.TestSolve) ... ok
test_simple_complex (test_basic.TestSolve) ... ok
test_simple_sym (test_basic.TestSolve) ... ok
test_simple_sym_complex (test_basic.TestSolve) ... ok
test_bad_shape (test_basic.TestSolveBanded) ... ok
test_complex (test_basic.TestSolveBanded) ... ok
test_real (test_basic.TestSolveBanded) ... ok
test_01_complex (test_basic.TestSolveHBanded) ... ok
test_01_float32 (test_basic.TestSolveHBanded) ... ok
test_01_lower (test_basic.TestSolveHBanded) ... ok
test_01_upper (test_basic.TestSolveHBanded) ... ok
test_02_complex (test_basic.TestSolveHBanded) ... ok
test_02_float32 (test_basic.TestSolveHBanded) ... ok
test_02_lower (test_basic.TestSolveHBanded) ... ok
test_02_upper (test_basic.TestSolveHBanded) ... ok
test_03_upper (test_basic.TestSolveHBanded) ... ok
test_bad_shapes (test_basic.TestSolveHBanded) ... ok
solve_triangular on a simple 2x2 matrix. ... ok
solve_triangular on a simple 2x2 complex matrix ... ok
test_axpy (test_blas.TestCBLAS1Simple) ... ok
test_amax (test_blas.TestFBLAS1Simple) ... ok
test_asum (test_blas.TestFBLAS1Simple) ... FAIL
test_axpy (test_blas.TestFBLAS1Simple) ... ok
test_complex_dotc (test_blas.TestFBLAS1Simple) ... ok
test_complex_dotu (test_blas.TestFBLAS1Simple) ... ok
test_copy (test_blas.TestFBLAS1Simple) ... ok
test_dot (test_blas.TestFBLAS1Simple) ... FAIL
test_nrm2 (test_blas.TestFBLAS1Simple) ... FAIL
test_scal (test_blas.TestFBLAS1Simple) ... ok
test_swap (test_blas.TestFBLAS1Simple) ... ok
test_gemv (test_blas.TestFBLAS2Simple) ... ok
test_ger (test_blas.TestFBLAS2Simple) ... ok
test_gemm (test_blas.TestFBLAS3Simple) ... ok
test_blas.test_get_blas_funcs ... ok
test_blas.test_get_blas_funcs_alias ... ok
test_lapack (test_build.TestF77Mismatch) ... SKIP: Skipping test: test_lapack
Skipping fortran compiler mismatch on non Linux platform
test_datacopied (test_decomp.TestDatacopied) ... ok
test_simple (test_decomp.TestDiagSVD) ... ok
test_decomp.TestEig.test_bad_geneig ... ok
Test matrices giving some Nan generalized eigen values. ... ok
Check that passing a non-square array raises a ValueError. ... ok
Check that passing arrays of with different shapes raises a ValueError. ... ok
test_decomp.TestEig.test_simple ... ok
test_decomp.TestEig.test_simple_complex ... ok
test_decomp.TestEig.test_simple_complex_eig ... ok
Test singular pair ... ok
Compare dgbtrf  LU factorisation with the LU factorisation result ... ok
Compare dgbtrs  solutions for linear equation system  A*x = b ... ok
Compare dsbev eigenvalues and eigenvectors with ... ok
Compare dsbevd eigenvalues and eigenvectors with ... ok
Compare dsbevx eigenvalues and eigenvectors ... ok
Compare eigenvalues and eigenvectors of eig_banded ... ok
Compare eigenvalues of eigvals_banded with those of linalg.eig. ... ok
Compare zgbtrf  LU factorisation with the LU factorisation result ... ok
Compare zgbtrs  solutions for linear equation system  A*x = b ... ok
Compare zhbevd eigenvalues and eigenvectors ... ok
Compare zhbevx eigenvalues and eigenvectors ... ok
test_simple (test_decomp.TestEigVals) ... ok
test_simple_complex (test_decomp.TestEigVals) ... ok
test_simple_tr (test_decomp.TestEigVals) ... ok
test_random (test_decomp.TestHessenberg) ... ok
test_random_complex (test_decomp.TestHessenberg) ... ok
test_simple (test_decomp.TestHessenberg) ... ok
test_simple2 (test_decomp.TestHessenberg) ... ok
test_simple_complex (test_decomp.TestHessenberg) ... ok
test_hrectangular (test_decomp.TestLU) ... ok
test_hrectangular_complex (test_decomp.TestLU) ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
test_simple (test_decomp.TestLU) ... ok
test_simple2 (test_decomp.TestLU) ... ok
test_simple2_complex (test_decomp.TestLU) ... ok
test_simple_complex (test_decomp.TestLU) ... ok
test_simple_known (test_decomp.TestLU) ... ok
test_vrectangular (test_decomp.TestLU) ... ok
test_vrectangular_complex (test_decomp.TestLU) ... ok
test_hrectangular (test_decomp.TestLUSingle) ... ok
test_hrectangular_complex (test_decomp.TestLUSingle) ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
test_simple (test_decomp.TestLUSingle) ... ok
test_simple2 (test_decomp.TestLUSingle) ... ok
test_simple2_complex (test_decomp.TestLUSingle) ... ok
test_simple_complex (test_decomp.TestLUSingle) ... ok
test_simple_known (test_decomp.TestLUSingle) ... ok
test_vrectangular (test_decomp.TestLUSingle) ... ok
test_vrectangular_complex (test_decomp.TestLUSingle) ... ok
test_lu (test_decomp.TestLUSolve) ... ok
test_decomp.TestOverwrite.test_eig ... ok
test_decomp.TestOverwrite.test_eig_banded ... ok
test_decomp.TestOverwrite.test_eigh ... ok
test_decomp.TestOverwrite.test_eigvals ... ok
test_decomp.TestOverwrite.test_eigvals_banded ... ok
test_decomp.TestOverwrite.test_eigvalsh ... ok
test_decomp.TestOverwrite.test_hessenberg ... ok
test_decomp.TestOverwrite.test_lu ... ok
test_decomp.TestOverwrite.test_lu_factor ... ok
test_decomp.TestOverwrite.test_lu_solve ... ok
test_decomp.TestOverwrite.test_qr ... ok
test_decomp.TestOverwrite.test_rq ... ok
test_decomp.TestOverwrite.test_schur ... ok
test_decomp.TestOverwrite.test_schur_complex ... ok
test_decomp.TestOverwrite.test_svd ... ok
test_decomp.TestOverwrite.test_svdvals ... ok
test_random (test_decomp.TestQR) ... ok
test_random_complex (test_decomp.TestQR) ... ok
test_random_complex_pivoting (test_decomp.TestQR) ... ok
test_random_pivoting (test_decomp.TestQR) ... ok
test_random_tall (test_decomp.TestQR) ... ok
test_random_tall_e (test_decomp.TestQR) ... ok
test_random_tall_e_pivoting (test_decomp.TestQR) ... ok
test_random_tall_pivoting (test_decomp.TestQR) ... ok
test_random_trap (test_decomp.TestQR) ... ok
test_random_trap_pivoting (test_decomp.TestQR) ... ok
test_simple (test_decomp.TestQR) ... ok
test_simple_complex (test_decomp.TestQR) ... ok
test_simple_complex_pivoting (test_decomp.TestQR) ... ok
test_simple_fat (test_decomp.TestQR) ... ok
test_simple_fat_e (test_decomp.TestQR) ... ok
test_simple_fat_e_pivoting (test_decomp.TestQR) ... ok
test_simple_fat_pivoting (test_decomp.TestQR) ... ok
test_simple_pivoting (test_decomp.TestQR) ... ok
test_simple_tall (test_decomp.TestQR) ... ok
test_simple_tall_e (test_decomp.TestQR) ... ok
test_simple_tall_e_pivoting (test_decomp.TestQR) ... ok
test_simple_tall_pivoting (test_decomp.TestQR) ... ok
test_simple_trap (test_decomp.TestQR) ... ok
test_simple_trap_pivoting (test_decomp.TestQR) ... ok
test_r (test_decomp.TestRQ) ... ok
test_random (test_decomp.TestRQ) ... ok
test_random_complex (test_decomp.TestRQ) ... ok
test_random_complex_economic (test_decomp.TestRQ) ... ok
test_random_tall (test_decomp.TestRQ) ... ok
test_random_trap (test_decomp.TestRQ) ... ok
test_random_trap_economic (test_decomp.TestRQ) ... ok
test_simple (test_decomp.TestRQ) ... ok
test_simple_complex (test_decomp.TestRQ) ... ok
test_simple_fat (test_decomp.TestRQ) ... ok
test_simple_tall (test_decomp.TestRQ) ... ok
test_simple_trap (test_decomp.TestRQ) ... ok
test_random (test_decomp.TestSVD) ... ok
test_random_complex (test_decomp.TestSVD) ... ok
test_simple (test_decomp.TestSVD) ... ok
test_simple_complex (test_decomp.TestSVD) ... ok
test_simple_overdet (test_decomp.TestSVD) ... ok
test_simple_singular (test_decomp.TestSVD) ... ok
test_simple_underdet (test_decomp.TestSVD) ... ok
test_simple (test_decomp.TestSVDVals) ... ok
test_simple_complex (test_decomp.TestSVDVals) ... ok
test_simple_overdet (test_decomp.TestSVDVals) ... ok
test_simple_overdet_complex (test_decomp.TestSVDVals) ... ok
test_simple_underdet (test_decomp.TestSVDVals) ... ok
test_simple_underdet_complex (test_decomp.TestSVDVals) ... ok
test_simple (test_decomp.TestSchur) ... ok
test_sort (test_decomp.TestSchur) ... ok
test_sort_errors (test_decomp.TestSchur) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh_integer ... ok
Check linalg works with non-aligned memory ... ok
Check linalg works with non-aligned memory ... ok
Check that complex objects don't need to be completely aligned ... ok
test_decomp.test_lapack_misaligned ... KNOWNFAIL: Ticket #1152, triggers a segfault in rare cases.
test_random (test_decomp_cholesky.TestCholesky) ... ok
test_random_complex (test_decomp_cholesky.TestCholesky) ... ok
test_simple (test_decomp_cholesky.TestCholesky) ... ok
test_simple_complex (test_decomp_cholesky.TestCholesky) ... ok
test_lower_complex (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_lower_real (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_upper_complex (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_upper_real (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_decomp_cholesky.TestOverwrite.test_cho_factor ... ok
test_decomp_cholesky.TestOverwrite.test_cho_solve ... ok
test_decomp_cholesky.TestOverwrite.test_cho_solve_banded ... ok
test_decomp_cholesky.TestOverwrite.test_cholesky ... ok
test_decomp_cholesky.TestOverwrite.test_cholesky_banded ... ok
test_default_a (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCaxpy) ... ok
test_x_and_y_stride (test_fblas.TestCaxpy) ... ok
test_x_bad_size (test_fblas.TestCaxpy) ... ok
test_x_stride (test_fblas.TestCaxpy) ... ok
test_y_bad_size (test_fblas.TestCaxpy) ... ok
test_y_stride (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCcopy) ... ok
test_x_and_y_stride (test_fblas.TestCcopy) ... ok
test_x_bad_size (test_fblas.TestCcopy) ... ok
test_x_stride (test_fblas.TestCcopy) ... ok
test_y_bad_size (test_fblas.TestCcopy) ... ok
test_y_stride (test_fblas.TestCcopy) ... ok
test_default_beta_y (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCgemv) ... ok
test_simple_transpose (test_fblas.TestCgemv) ... ok
test_simple_transpose_conj (test_fblas.TestCgemv) ... ok
test_x_stride (test_fblas.TestCgemv) ... ok
test_x_stride_assert (test_fblas.TestCgemv) ... ok
test_x_stride_transpose (test_fblas.TestCgemv) ... ok
test_y_stride (test_fblas.TestCgemv) ... ok
test_y_stride_assert (test_fblas.TestCgemv) ... ok
test_y_stride_transpose (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCscal) ... ok
test_x_bad_size (test_fblas.TestCscal) ... ok
test_x_stride (test_fblas.TestCscal) ... ok
test_simple (test_fblas.TestCswap) ... ok
test_x_and_y_stride (test_fblas.TestCswap) ... ok
test_x_bad_size (test_fblas.TestCswap) ... ok
test_x_stride (test_fblas.TestCswap) ... ok
test_y_bad_size (test_fblas.TestCswap) ... ok
test_y_stride (test_fblas.TestCswap) ... ok
test_default_a (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDaxpy) ... ok
test_x_and_y_stride (test_fblas.TestDaxpy) ... ok
test_x_bad_size (test_fblas.TestDaxpy) ... ok
test_x_stride (test_fblas.TestDaxpy) ... ok
test_y_bad_size (test_fblas.TestDaxpy) ... ok
test_y_stride (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDcopy) ... ok
test_x_and_y_stride (test_fblas.TestDcopy) ... ok
test_x_bad_size (test_fblas.TestDcopy) ... ok
test_x_stride (test_fblas.TestDcopy) ... ok
test_y_bad_size (test_fblas.TestDcopy) ... ok
test_y_stride (test_fblas.TestDcopy) ... ok
test_default_beta_y (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDgemv) ... ok
test_simple_transpose (test_fblas.TestDgemv) ... ok
test_simple_transpose_conj (test_fblas.TestDgemv) ... ok
test_x_stride (test_fblas.TestDgemv) ... ok
test_x_stride_assert (test_fblas.TestDgemv) ... ok
test_x_stride_transpose (test_fblas.TestDgemv) ... ok
test_y_stride (test_fblas.TestDgemv) ... ok
test_y_stride_assert (test_fblas.TestDgemv) ... ok
test_y_stride_transpose (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDscal) ... ok
test_x_bad_size (test_fblas.TestDscal) ... ok
test_x_stride (test_fblas.TestDscal) ... ok
test_simple (test_fblas.TestDswap) ... ok
test_x_and_y_stride (test_fblas.TestDswap) ... ok
test_x_bad_size (test_fblas.TestDswap) ... ok
test_x_stride (test_fblas.TestDswap) ... ok
test_y_bad_size (test_fblas.TestDswap) ... ok
test_y_stride (test_fblas.TestDswap) ... ok
test_default_a (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestSaxpy) ... ok
test_x_and_y_stride (test_fblas.TestSaxpy) ... ok
test_x_bad_size (test_fblas.TestSaxpy) ... ok
test_x_stride (test_fblas.TestSaxpy) ... ok
test_y_bad_size (test_fblas.TestSaxpy) ... ok
test_y_stride (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestScopy) ... ok
test_x_and_y_stride (test_fblas.TestScopy) ... ok
test_x_bad_size (test_fblas.TestScopy) ... ok
test_x_stride (test_fblas.TestScopy) ... ok
test_y_bad_size (test_fblas.TestScopy) ... ok
test_y_stride (test_fblas.TestScopy) ... ok
test_default_beta_y (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSgemv) ... ok
test_simple_transpose (test_fblas.TestSgemv) ... ok
test_simple_transpose_conj (test_fblas.TestSgemv) ... ok
test_x_stride (test_fblas.TestSgemv) ... ok
test_x_stride_assert (test_fblas.TestSgemv) ... ok
test_x_stride_transpose (test_fblas.TestSgemv) ... ok
test_y_stride (test_fblas.TestSgemv) ... ok
test_y_stride_assert (test_fblas.TestSgemv) ... ok
test_y_stride_transpose (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSscal) ... ok
test_x_bad_size (test_fblas.TestSscal) ... ok
test_x_stride (test_fblas.TestSscal) ... ok
test_simple (test_fblas.TestSswap) ... ok
test_x_and_y_stride (test_fblas.TestSswap) ... ok
test_x_bad_size (test_fblas.TestSswap) ... ok
test_x_stride (test_fblas.TestSswap) ... ok
test_y_bad_size (test_fblas.TestSswap) ... ok
test_y_stride (test_fblas.TestSswap) ... ok
test_default_a (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZaxpy) ... ok
test_x_and_y_stride (test_fblas.TestZaxpy) ... ok
test_x_bad_size (test_fblas.TestZaxpy) ... ok
test_x_stride (test_fblas.TestZaxpy) ... ok
test_y_bad_size (test_fblas.TestZaxpy) ... ok
test_y_stride (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZcopy) ... ok
test_x_and_y_stride (test_fblas.TestZcopy) ... ok
test_x_bad_size (test_fblas.TestZcopy) ... ok
test_x_stride (test_fblas.TestZcopy) ... ok
test_y_bad_size (test_fblas.TestZcopy) ... ok
test_y_stride (test_fblas.TestZcopy) ... ok
test_default_beta_y (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZgemv) ... ok
test_simple_transpose (test_fblas.TestZgemv) ... ok
test_simple_transpose_conj (test_fblas.TestZgemv) ... ok
test_x_stride (test_fblas.TestZgemv) ... ok
test_x_stride_assert (test_fblas.TestZgemv) ... ok
test_x_stride_transpose (test_fblas.TestZgemv) ... ok
test_y_stride (test_fblas.TestZgemv) ... ok
test_y_stride_assert (test_fblas.TestZgemv) ... ok
test_y_stride_transpose (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZscal) ... ok
test_x_bad_size (test_fblas.TestZscal) ... ok
test_x_stride (test_fblas.TestZscal) ... ok
test_simple (test_fblas.TestZswap) ... ok
test_x_and_y_stride (test_fblas.TestZswap) ... ok
test_x_bad_size (test_fblas.TestZswap) ... ok
test_x_stride (test_fblas.TestZswap) ... ok
test_y_bad_size (test_fblas.TestZswap) ... ok
test_y_stride (test_fblas.TestZswap) ... ok
test_gebal (test_lapack.TestFlapackSimple) ... ok
test_gehrd (test_lapack.TestFlapackSimple) ... ok
test_clapack (test_lapack.TestLapack) ... ok
test_flapack (test_lapack.TestLapack) ... ok
test_consistency (test_matfuncs.TestExpM) ... ok
test_zero (test_matfuncs.TestExpM) ... ok
test_nils (test_matfuncs.TestLogM) ... ok
test_defective1 (test_matfuncs.TestSignM) ... ok
test_defective2 (test_matfuncs.TestSignM) ... ok
test_defective3 (test_matfuncs.TestSignM) ... ok
test_nils (test_matfuncs.TestSignM) ... ok
test_bad (test_matfuncs.TestSqrtM) ... ok
test_special_matrices.TestBlockDiag.test_bad_arg ... ok
test_special_matrices.TestBlockDiag.test_basic ... ok
test_special_matrices.TestBlockDiag.test_dtype ... ok
test_special_matrices.TestBlockDiag.test_no_args ... ok
test_special_matrices.TestBlockDiag.test_scalar_and_1d_args ... ok
test_basic (test_special_matrices.TestCirculant) ... ok
test_bad_shapes (test_special_matrices.TestCompanion) ... ok
test_basic (test_special_matrices.TestCompanion) ... ok
test_basic (test_special_matrices.TestHadamard) ... ok
test_basic (test_special_matrices.TestHankel) ... ok
test_basic (test_special_matrices.TestHilbert) ... ok
test_basic (test_special_matrices.TestInvHilbert) ... ok
test_inverse (test_special_matrices.TestInvHilbert) ... ok
test_special_matrices.TestKron.test_basic ... ok
test_bad_shapes (test_special_matrices.TestLeslie) ... ok
test_basic (test_special_matrices.TestLeslie) ... ok
test_basic (test_special_matrices.TestToeplitz) ... ok
test_complex_01 (test_special_matrices.TestToeplitz) ... ok
Scalar arguments still produce a 2D array. ... ok
test_scalar_01 (test_special_matrices.TestToeplitz) ... ok
test_scalar_02 (test_special_matrices.TestToeplitz) ... ok
test_scalar_03 (test_special_matrices.TestToeplitz) ... ok
test_scalar_04 (test_special_matrices.TestToeplitz) ... ok
test_2d (test_special_matrices.TestTri) ... ok
test_basic (test_special_matrices.TestTri) ... ok
test_diag (test_special_matrices.TestTri) ... ok
test_diag2d (test_special_matrices.TestTri) ... ok
test_basic (test_special_matrices.TestTril) ... ok
test_diag (test_special_matrices.TestTril) ... ok
test_basic (test_special_matrices.TestTriu) ... ok
test_diag (test_special_matrices.TestTriu) ... ok
test_logsumexp (test_maxentropy.TestMaxentropy) ... ok
test_common.test_pade_trivial ... ok
test_common.test_pade_4term_exp ... ok
Test whether logsumexp() function correctly handles large inputs. ... ok
test_doccer.test_unindent('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent('Another test, one line', 'Another test, one line') ... ok
test_doccer.test_unindent('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent_dict('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent_dict('Another test, one line', 'Another test, one line') ... ok
test_doccer.test_unindent_dict('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_docformat('Docstring\n    Another test\n       with some indent\n        Another test, one line\n     Another test\n       with some indent\n', 'Docstring\n    Another test\n       with some indent\n        Another test, one line\n     Another test\n       with some indent\n') ... ok
test_doccer.test_docformat('Single line doc Another test\n   with some indent', 'Single line doc Another test\n   with some indent') ... ok
test_doccer.test_decorator(' Docstring\n        Another test\n           with some indent\n        ', ' Docstring\n        Another test\n           with some indent\n        ') ... ok
test_doccer.test_decorator(' Docstring\n            Another test\n               with some indent\n        ', ' Docstring\n            Another test\n               with some indent\n        ') ... ok
test_bytescale (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_bytescale
Need to import PIL for this test
test_imresize (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize
Need to import PIL for this test
test_imresize2 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize2
Need to import PIL for this test
test_imresize3 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize3
Need to import PIL for this test
Failure: SkipTest (Skipping test: test_fromimage
Need to import PIL for this test) ... SKIP: Skipping test: test_fromimage
Need to import PIL for this test
test_datatypes.test_map_coordinates_dts ... ok
test_datatypes.test_uint64_max ... ok
test_filters.test_ticket_701 ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter at 0x103c62de8>, array([ 0.]), 1, -1) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter at 0x103c62de8>, array([ 0.]), 1, 4) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter1d at 0x103c62d70>, array([ 0.]), 1, -1, -1) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter1d at 0x103c62d70>, array([ 0.]), 1, -1, 4) ... ok
Regression test for #1311. ... ok
test_io.test_imread ... SKIP: Skipping test: test_imread
The Python Image Library could not be found.
test_basic (test_measurements.Test_measurements_select) ... ok
test_a (test_measurements.Test_measurements_stats) ... ok
test_a_centered (test_measurements.Test_measurements_stats) ... ok
test_b (test_measurements.Test_measurements_stats) ... ok
test_b_centered (test_measurements.Test_measurements_stats) ... ok
test_nonint_labels (test_measurements.Test_measurements_stats) ... ok
label 1 ... ok
label 2 ... ok
label 3 ... ok
label 4 ... ok
label 5 ... ok
label 6 ... ok
label 7 ... ok
label 8 ... ok
label 9 ... ok
label 10 ... ok
label 11 ... ok
label 12 ... ok
label 13 ... ok
find_objects 1 ... ok
find_objects 2 ... ok
find_objects 3 ... ok
find_objects 4 ... ok
find_objects 5 ... ok
find_objects 6 ... ok
find_objects 7 ... ok
find_objects 8 ... ok
find_objects 9 ... ok
sum 1 ... ok
sum 2 ... ok
sum 3 ... ok
sum 4 ... ok
sum 5 ... ok
sum 6 ... ok
sum 7 ... ok
sum 8 ... ok
sum 9 ... ok
sum 10 ... ok
sum 11 ... ok
sum 12 ... ok
mean 1 ... ok
mean 2 ... ok
mean 3 ... ok
mean 4 ... ok
minimum 1 ... ok
minimum 2 ... ok
minimum 3 ... ok
minimum 4 ... ok
maximum 1 ... ok
maximum 2 ... ok
maximum 3 ... ok
maximum 4 ... ok
Ticket #501 ... ok
median 1 ... ok
median 2 ... ok
median 3 ... ok
variance 1 ... ok
variance 2 ... ok
variance 3 ... ok
variance 4 ... ok
variance 5 ... ok
variance 6 ... ok
standard deviation 1 ... ok
standard deviation 2 ... ok
standard deviation 3 ... ok
standard deviation 4 ... ok
standard deviation 5 ... ok
standard deviation 6 ... ok
standard deviation 7 ... ok
minimum position 1 ... ok
minimum position 2 ... ok
minimum position 3 ... ok
minimum position 4 ... ok
minimum position 5 ... ok
minimum position 6 ... ok
minimum position 7 ... ok
maximum position 1 ... ok
maximum position 2 ... ok
maximum position 3 ... ok
maximum position 4 ... ok
maximum position 5 ... ok
maximum position 6 ... ok
maximum position 7 - float labels ... ok
extrema 1 ... ok
extrema 2 ... ok
extrema 3 ... ok
extrema 4 ... ok
center of mass 1 ... ok
center of mass 2 ... ok
center of mass 3 ... ok
center of mass 4 ... ok
center of mass 5 ... ok
center of mass 6 ... ok
center of mass 7 ... ok
center of mass 8 ... ok
center of mass 9 ... ok
histogram 1 ... ok
histogram 2 ... ok
histogram 3 ... ok
affine_transform 1 ... ok
affine transform 2 ... ok
affine transform 3 ... ok
affine transform 4 ... ok
affine transform 5 ... ok
affine transform 6 ... ok
affine transform 7 ... ok
affine transform 8 ... ok
affine transform 9 ... ok
affine transform 10 ... ok
affine transform 11 ... ok
affine transform 12 ... ok
affine transform 13 ... ok
affine transform 14 ... ok
affine transform 15 ... ok
affine transform 16 ... ok
affine transform 17 ... ok
affine transform 18 ... ok
affine transform 19 ... ok
affine transform 20 ... ok
affine transform 21 ... ok
binary closing 1 ... ok
binary closing 2 ... ok
binary dilation 1 ... ok
binary dilation 2 ... ok
binary dilation 3 ... ok
binary dilation 4 ... ok
binary dilation 5 ... ok
binary dilation 6 ... ok
binary dilation 7 ... ok
binary dilation 8 ... ok
binary dilation 9 ... ok
binary dilation 10 ... ok
binary dilation 11 ... ok
binary dilation 12 ... ok
binary dilation 13 ... ok
binary dilation 14 ... ok
binary dilation 15 ... ok
binary dilation 16 ... ok
binary dilation 17 ... ok
binary dilation 18 ... ok
binary dilation 19 ... ok
binary dilation 20 ... ok
binary dilation 21 ... ok
binary dilation 22 ... ok
binary dilation 23 ... ok
binary dilation 24 ... ok
binary dilation 25 ... ok
binary dilation 26 ... ok
binary dilation 27 ... ok
binary dilation 28 ... ok
binary dilation 29 ... ok
binary dilation 30 ... ok
binary dilation 31 ... ok
binary dilation 32 ... ok
binary dilation 33 ... ok
binary dilation 34 ... ok
binary dilation 35 ... ok
binary erosion 1 ... ok
binary erosion 2 ... ok
binary erosion 3 ... ok
binary erosion 4 ... ok
binary erosion 5 ... ok
binary erosion 6 ... ok
binary erosion 7 ... ok
binary erosion 8 ... ok
binary erosion 9 ... ok
binary erosion 10 ... ok
binary erosion 11 ... ok
binary erosion 12 ... ok
binary erosion 13 ... ok
binary erosion 14 ... ok
binary erosion 15 ... ok
binary erosion 16 ... ok
binary erosion 17 ... ok
binary erosion 18 ... ok
binary erosion 19 ... ok
binary erosion 20 ... ok
binary erosion 21 ... ok
binary erosion 22 ... ok
binary erosion 23 ... ok
binary erosion 24 ... ok
binary erosion 25 ... ok
binary erosion 26 ... ok
binary erosion 27 ... ok
binary erosion 28 ... ok
binary erosion 29 ... ok
binary erosion 30 ... ok
binary erosion 31 ... ok
binary erosion 32 ... ok
binary erosion 33 ... ok
binary erosion 34 ... ok
binary erosion 35 ... ok
binary erosion 36 ... ok
binary fill holes 1 ... ok
binary fill holes 2 ... ok
binary fill holes 3 ... ok
binary opening 1 ... ok
binary opening 2 ... ok
binary propagation 1 ... ok
binary propagation 2 ... ok
black tophat 1 ... ok
black tophat 2 ... ok
boundary modes ... ok
boundary modes 2 ... ok
correlation 1 ... ok
correlation 2 ... ok
correlation 3 ... ok
correlation 4 ... ok
correlation 5 ... ok
correlation 6 ... ok
correlation 7 ... ok
correlation 8 ... ok
correlation 9 ... ok
correlation 10 ... ok
correlation 11 ... ok
correlation 12 ... ok
correlation 13 ... ok
correlation 14 ... ok
correlation 15 ... ok
correlation 16 ... ok
correlation 17 ... ok
correlation 18 ... ok
correlation 19 ... ok
correlation 20 ... ok
correlation 21 ... ok
correlation 22 ... ok
correlation 23 ... ok
correlation 24 ... ok
correlation 25 ... ok
brute force distance transform 1 ... ok
brute force distance transform 2 ... ok
brute force distance transform 3 ... ok
brute force distance transform 4 ... ok
brute force distance transform 5 ... ok
brute force distance transform 6 ... ok
chamfer type distance transform 1 ... ok
chamfer type distance transform 2 ... ok
chamfer type distance transform 3 ... ok
euclidean distance transform 1 ... ok
euclidean distance transform 2 ... ok
euclidean distance transform 3 ... ok
euclidean distance transform 4 ... ok
line extension 1 ... ok
line extension 2 ... ok
line extension 3 ... ok
line extension 4 ... ok
line extension 5 ... ok
line extension 6 ... ok
line extension 7 ... ok
line extension 8 ... ok
line extension 9 ... ok
line extension 10 ... ok
ellipsoid fourier filter for complex transforms 1 ... ok
ellipsoid fourier filter for real transforms 1 ... ok
gaussian fourier filter for complex transforms 1 ... ok
gaussian fourier filter for real transforms 1 ... ok
shift filter for complex transforms 1 ... ok
shift filter for real transforms 1 ... ok
uniform fourier filter for complex transforms 1 ... ok
uniform fourier filter for real transforms 1 ... ok
gaussian filter 1 ... ok
gaussian filter 2 ... ok
gaussian filter 3 - single precision data ... ok
gaussian filter 4 ... ok
gaussian filter 5 ... ok
gaussian filter 6 ... ok
gaussian gradient magnitude filter 1 ... ok
gaussian gradient magnitude filter 2 ... ok
gaussian laplace filter 1 ... ok
gaussian laplace filter 2 ... ok
generation of a binary structure 1 ... ok
generation of a binary structure 2 ... ok
generation of a binary structure 3 ... ok
generation of a binary structure 4 ... ok
generic filter 1 ... ok
generic 1d filter 1 ... ok
generic gradient magnitude 1 ... ok
generic laplace filter 1 ... ok
geometric transform 1 ... ok
geometric transform 2 ... ok
geometric transform 3 ... ok
geometric transform 4 ... ok
geometric transform 5 ... ok
geometric transform 6 ... ok
geometric transform 7 ... ok
geometric transform 8 ... ok
geometric transform 10 ... ok
geometric transform 13 ... ok
geometric transform 14 ... ok
geometric transform 15 ... ok
geometric transform 16 ... ok
geometric transform 17 ... ok
geometric transform 18 ... ok
geometric transform 19 ... ok
geometric transform 20 ... ok
geometric transform 21 ... ok
geometric transform 22 ... ok
geometric transform 23 ... ok
geometric transform 24 ... ok
grey closing 1 ... ok
grey closing 2 ... ok
grey dilation 1 ... ok
grey dilation 2 ... ok
grey dilation 3 ... ok
grey erosion 1 ... ok
grey erosion 2 ... ok
grey erosion 3 ... ok
grey opening 1 ... ok
grey opening 2 ... ok
binary hit-or-miss transform 1 ... ok
binary hit-or-miss transform 2 ... ok
binary hit-or-miss transform 3 ... ok
iterating a structure 1 ... ok
iterating a structure 2 ... ok
iterating a structure 3 ... ok
laplace filter 1 ... ok
laplace filter 2 ... ok
map coordinates 1 ... ok
map coordinates 2 ... ok
maximum filter 1 ... ok
maximum filter 2 ... ok
maximum filter 3 ... ok
maximum filter 4 ... ok
maximum filter 5 ... ok
maximum filter 6 ... ok
maximum filter 7 ... ok
maximum filter 8 ... ok
maximum filter 9 ... ok
minimum filter 1 ... ok
minimum filter 2 ... ok
minimum filter 3 ... ok
minimum filter 4 ... ok
minimum filter 5 ... ok
minimum filter 6 ... ok
minimum filter 7 ... ok
minimum filter 8 ... ok
minimum filter 9 ... ok
morphological gradient 1 ... ok
morphological gradient 2 ... ok
morphological laplace 1 ... ok
morphological laplace 2 ... ok
prewitt filter 1 ... ok
prewitt filter 2 ... ok
prewitt filter 3 ... ok
prewitt filter 4 ... ok
rank filter 1 ... ok
rank filter 2 ... ok
rank filter 3 ... ok
rank filter 4 ... ok
rank filter 5 ... ok
rank filter 6 ... ok
rank filter 7 ... ok
median filter 8 ... ok
rank filter 9 ... ok
rank filter 10 ... ok
rank filter 11 ... ok
rank filter 12 ... ok
rank filter 13 ... ok
rank filter 14 ... ok
rotate 1 ... ok
rotate 2 ... ok
rotate 3 ... ok
rotate 4 ... ok
rotate 5 ... ok
rotate 6 ... ok
rotate 7 ... ok
rotate 8 ... ok
shift 1 ... ok
shift 2 ... ok
shift 3 ... ok
shift 4 ... ok
shift 5 ... ok
shift 6 ... ok
shift 7 ... ok
shift 8 ... ok
shift 9 ... ok
sobel filter 1 ... ok
sobel filter 2 ... ok
sobel filter 3 ... ok
sobel filter 4 ... ok
spline filter 1 ... ok
spline filter 2 ... ok
spline filter 3 ... ok
spline filter 4 ... ok
spline filter 5 ... ok
uniform filter 1 ... ok
uniform filter 2 ... ok
uniform filter 3 ... ok
uniform filter 4 ... ok
uniform filter 5 ... ok
uniform filter 6 ... ok
watershed_ift 1 ... ok
watershed_ift 2 ... ok
watershed_ift 3 ... ok
watershed_ift 4 ... ok
watershed_ift 5 ... ok
watershed_ift 6 ... ok
watershed_ift 7 ... ok
white tophat 1 ... ok
white tophat 2 ... ok
zoom 1 ... ok
zoom 2 ... ok
zoom by affine transformation 1 ... ok
Ticket #1419 ... ok
Regression test for #413: median_filter does not handle bytes orders. ... ok
Ticket #643 ... ok
test_regression.test_ticket_742 ... ok
test_explicit (test_odr.TestODR) ... ok
test_implicit (test_odr.TestODR) ... ok
test_lorentz (test_odr.TestODR) ... ok
test_multi (test_odr.TestODR) ... ok
test_pearson (test_odr.TestODR) ... ok
test_ticket_1253 (test_odr.TestODR) ... ok
test_simple (test_cobyla.TestCobyla) ... ok
test_linesearch.TestLineSearch.test_armijo_terminate_1 ... ok
test_linesearch.TestLineSearch.test_line_search_armijo ... ok
test_linesearch.TestLineSearch.test_line_search_wolfe1 ... ok
test_linesearch.TestLineSearch.test_line_search_wolfe2 ... ok
test_linesearch.TestLineSearch.test_scalar_search_armijo ... ok
test_linesearch.TestLineSearch.test_scalar_search_wolfe1 ... ok
test_linesearch.TestLineSearch.test_scalar_search_wolfe2 ... ok
test_linesearch.TestLineSearch.test_wolfe_terminate ... ok
test_one_argument (test_minpack.TestCurveFit) ... ok
test_two_argument (test_minpack.TestCurveFit) ... ok
fsolve without gradient, equal pipes -> equal flows ... ok
fsolve with gradient, equal pipes -> equal flows ... ok
The callables 'func' and 'deriv_func' have no 'func_name' attribute. ... ok
test_minpack.TestFSolve.test_wrong_shape_fprime_function ... ok
The callable 'func' has no 'func_name' attribute. ... ok
test_minpack.TestFSolve.test_wrong_shape_func_function ... ok
f(x) = c * x**2; fixed point should be x=1/c ... ok
f(x) = c * x**0.5; fixed point should be x=c**2 ... ok
test_array_trivial (test_minpack.TestFixedPoint) ... ok
f(x) = x**2; x0=1.05; fixed point should be x=1 ... ok
f(x) = x**0.5; x0=1.05; fixed point should be x=1 ... ok
f(x) = 2x; fixed point should be x=0 ... ok
test_basic (test_minpack.TestLeastSq) ... ok
test_full_output (test_minpack.TestLeastSq) ... ok
test_input_untouched (test_minpack.TestLeastSq) ... ok
The callables 'func' and 'deriv_func' have no 'func_name' attribute. ... ok
test_wrong_shape_Dfun_function (test_minpack.TestLeastSq) ... ok
The callable 'func' has no 'func_name' attribute. ... ok
test_wrong_shape_func_function (test_minpack.TestLeastSq) ... ok
test_nnls (test_nnls.TestNNLS) ... ok
fsolve without gradient, equal pipes -> equal flows ... ok
fsolve with gradient, equal pipes -> equal flows ... ok
The callables 'func' and 'deriv_func' have no 'func_name' attribute. ... ok
test_nonlin.TestFSolve.test_wrong_shape_fprime_function ... ok
The callable 'func' has no 'func_name' attribute. ... ok
test_nonlin.TestFSolve.test_wrong_shape_func_function ... ok
test_nonlin.TestJacobianDotSolve.test_anderson ... ok
test_nonlin.TestJacobianDotSolve.test_broyden1 ... ok
test_nonlin.TestJacobianDotSolve.test_broyden2 ... ok
test_nonlin.TestJacobianDotSolve.test_diagbroyden ... ok
test_nonlin.TestJacobianDotSolve.test_excitingmixing ... ok
test_nonlin.TestJacobianDotSolve.test_krylov ... ok
test_nonlin.TestJacobianDotSolve.test_linearmixing ... ok
test_anderson (test_nonlin.TestLinear) ... ok
test_broyden1 (test_nonlin.TestLinear) ... ok
test_broyden2 (test_nonlin.TestLinear) ... ok
test_krylov (test_nonlin.TestLinear) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function diagbroyden at 0x1039d12a8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function linearmixing at 0x1039d1230>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function excitingmixing at 0x1039d1320>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F at 0x10560cde8>, <function newton_krylov at 0x1039d1398>) ... ok
test_nonlin.TestNonlin.test_problem(<function F2 at 0x10560ce60>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F2 at 0x10560ce60>, <function diagbroyden at 0x1039d12a8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F2 at 0x10560ce60>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F2 at 0x10560ce60>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F2 at 0x10560ce60>, <function newton_krylov at 0x1039d1398>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function diagbroyden at 0x1039d12a8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function linearmixing at 0x1039d1230>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function excitingmixing at 0x1039d1320>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F3 at 0x10560c848>, <function newton_krylov at 0x1039d1398>) ... ok
test_nonlin.TestNonlin.test_problem(<function F4_powell at 0x10560c2a8>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F4_powell at 0x10560c2a8>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F4_powell at 0x10560c2a8>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F4_powell at 0x10560c2a8>, <function newton_krylov at 0x1039d1398>) ... ok
test_nonlin.TestNonlin.test_problem(<function F5 at 0x10560c320>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F5 at 0x10560c320>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F5 at 0x10560c320>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F5 at 0x10560c320>, <function newton_krylov at 0x1039d1398>) ... ok
test_nonlin.TestNonlin.test_problem(<function F6 at 0x10560c230>, <function anderson at 0x1039d1140>) ... ok
test_nonlin.TestNonlin.test_problem(<function F6 at 0x10560c230>, <function broyden1 at 0x1039cfed8>) ... ok
test_nonlin.TestNonlin.test_problem(<function F6 at 0x10560c230>, <function broyden2 at 0x1039d1050>) ... ok
test_nonlin.TestNonlin.test_problem(<function F6 at 0x10560c230>, <function newton_krylov at 0x1039d1398>) ... ok
test_anderson (test_nonlin.TestNonlinOldTests) ... ok
test_broyden1 (test_nonlin.TestNonlinOldTests) ... ok
test_broyden2 (test_nonlin.TestNonlinOldTests) ... ok
test_diagbroyden (test_nonlin.TestNonlinOldTests) ... ok
test_exciting (test_nonlin.TestNonlinOldTests) ... ok
test_linearmixing (test_nonlin.TestNonlinOldTests) ... ok
test_anderson (test_nonlin.TestSecant) ... ok
test_broyden1 (test_nonlin.TestSecant) ... ok
test_broyden1_update (test_nonlin.TestSecant) ... ok
test_broyden2 (test_nonlin.TestSecant) ... ok
test_broyden2_update (test_nonlin.TestSecant) ... ok
Broyden-Fletcher-Goldfarb-Shanno optimization routine ... ok
Test corner case where -Inf is the minimum.  See #1494. ... ok
brent algorithm ... ok
conjugate gradient optimization routine ... ok
Test fminbound ... ok
test_fminbound_scalar (test_optimize.TestOptimize) ... ok
limited-memory bound-constrained BFGS algorithm ... ok
line-search Newton conjugate gradient optimization routine ... ok
Nelder-Mead simplex algorithm ... ok
Powell (direction set) optimization routine ... ok
Compare rosen_hess(x) times p with rosen_hess_prod(x,p) (ticket #1248) ... ok
test_tnc (test_optimize.TestTnc) ... ok
Ticket #1214 ... ok
Ticket #1074 ... ok
test_bound_approximated (test_slsqp.TestSLSQP) ... ok
test_bound_equality_given (test_slsqp.TestSLSQP) ... ok
test_bound_equality_inequality_given (test_slsqp.TestSLSQP) ... ok
test_unbounded_approximated (test_slsqp.TestSLSQP) ... ok
test_unbounded_given (test_slsqp.TestSLSQP) ... ok
test_bisect (test_zeros.TestBasic) ... ok
test_brenth (test_zeros.TestBasic) ... ok
test_brentq (test_zeros.TestBasic) ... ok
test_deriv_zero_warning (test_zeros.TestBasic) ... ok
test_ridder (test_zeros.TestBasic) ... ok
test_axis_reverse (test_array_tools.TestArrayTools) ... ok
test_axis_slice (test_array_tools.TestArrayTools) ... ok
test_const_ext (test_array_tools.TestArrayTools) ... ok
test_even_ext (test_array_tools.TestArrayTools) ... ok
test_odd_ext (test_array_tools.TestArrayTools) ... ok
test_backward_diff (test_cont2discrete.TestC2D) ... ok
test_bilinear (test_cont2discrete.TestC2D) ... ok
Test that the solution to the discrete approximation of a continuous ... ok
test_euler (test_cont2discrete.TestC2D) ... ok
test_gbt (test_cont2discrete.TestC2D) ... ok
Test method='gbt' with alpha=0.25 for tf and zpk cases. ... ok
test_transferfunction (test_cont2discrete.TestC2D) ... ok
test_zerospolesgain (test_cont2discrete.TestC2D) ... ok
test_zoh (test_cont2discrete.TestC2D) ... ok
test_dimpulse (test_dltisys.TestDLTI) ... ok
test_dlsim (test_dltisys.TestDLTI) ... ok
test_dlsim_simple1d (test_dltisys.TestDLTI) ... ok
test_dlsim_simple2d (test_dltisys.TestDLTI) ... ok
test_dlsim_trivial (test_dltisys.TestDLTI) ... ok
test_dstep (test_dltisys.TestDLTI) ... ok
test_more_step_and_impulse (test_dltisys.TestDLTI) ... ok
test_basic (test_filter_design.TestFreqz) ... ok
test_basic_whole (test_filter_design.TestFreqz) ... ok
test_plot (test_filter_design.TestFreqz) ... ok
Regression test for ticket 1441. ... ok
Regression test for #651: better handling of badly conditioned ... ok
test_simple (test_filter_design.TestTf2zpk) ... ok
Test the identity transfer function. ... ok
Test that invalid cutoff argument raises ValueError. ... ok
test_bandpass (test_fir_filter_design.TestFirWinMore) ... ok
Test that attempt to create a highpass filter with an even number ... ok
test_highpass (test_fir_filter_design.TestFirWinMore) ... ok
test_lowpass (test_fir_filter_design.TestFirWinMore) ... ok
test_multi (test_fir_filter_design.TestFirWinMore) ... ok
Test the nyq keyword. ... ok
test_response (test_fir_filter_design.TestFirwin) ... ok
For one lowpass, bandpass, and highpass example filter, this test ... ok
test01 (test_fir_filter_design.TestFirwin2) ... ok
test02 (test_fir_filter_design.TestFirwin2) ... ok
test03 (test_fir_filter_design.TestFirwin2) ... ok
Test firwin2 when window=None. ... ok
Test firwin2 for calculating Type IV filters ... ok
Test firwin2 for calculating Type III filters ... ok
test_invalid_args (test_fir_filter_design.TestFirwin2) ... ok
test_nyq (test_fir_filter_design.TestFirwin2) ... ok
test_bad_args (test_fir_filter_design.TestRemez) ... ok
test_hilbert (test_fir_filter_design.TestRemez) ... ok
test_fir_filter_design.test_kaiser_beta ... ok
test_fir_filter_design.test_kaiser_atten ... ok
test_fir_filter_design.test_kaiserord ... ok
test_ltisys.TestSS2TF.test_basic(3, 3, 3) ... ok
test_ltisys.TestSS2TF.test_basic(1, 3, 3) ... ok
test_ltisys.TestSS2TF.test_basic(1, 1, 1) ... ok
test_ltisys.Test_impulse2.test_01 ... ok
Specify the desired time values for the output. ... ok
Specify an initial condition as a scalar. ... ok
Specify an initial condition as a list. ... ok
test_ltisys.Test_impulse2.test_05 ... ok
test_ltisys.Test_impulse2.test_06 ... ok
test_ltisys.Test_lsim2.test_01 ... ok
test_ltisys.Test_lsim2.test_02 ... ok
test_ltisys.Test_lsim2.test_03 ... ok
test_ltisys.Test_lsim2.test_04 ... ok
test_ltisys.Test_lsim2.test_05 ... ok
Test use of the default values of the arguments `T` and `U`. ... ok
test_ltisys.Test_step2.test_01 ... ok
Specify the desired time values for the output. ... ok
Specify an initial condition as a scalar. ... ok
Specify an initial condition as a list. ... ok
test_ltisys.Test_step2.test_05 ... ok
test_ltisys.Test_step2.test_06 ... ok
test_basic (test_signaltools.TestCSpline1DEval) ... ok
test_2d_arrays (test_signaltools.TestConvolve) ... ok
test_basic (test_signaltools.TestConvolve) ... ok
test_complex (test_signaltools.TestConvolve) ... ok
test_same_mode (test_signaltools.TestConvolve) ... ok
test_valid_mode (test_signaltools.TestConvolve) ... ok
test_zero_order (test_signaltools.TestConvolve) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex128) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex256) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex256) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex64) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex64) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex64) ... ok
test_rank1_full (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_same (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_valid (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_all (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_same (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_valid (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint8) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint8) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint8) ... ok
test_signaltools.TestDecimate.test_basic ... ok
Regression test for ticket #1480. ... ok
test_2d_complex_same (test_signaltools.TestFFTConvolve) ... ok
test_2d_real_same (test_signaltools.TestFFTConvolve) ... ok
test_complex (test_signaltools.TestFFTConvolve) ... ok
test_random_data (test_signaltools.TestFFTConvolve) ... ok
test_real (test_signaltools.TestFFTConvolve) ... ok
test_real_same_mode (test_signaltools.TestFFTConvolve) ... ok
test_real_valid_mode (test_signaltools.TestFFTConvolve) ... ok
test_zero_order (test_signaltools.TestFFTConvolve) ... ok
test_basic (test_signaltools.TestFiltFilt) ... ok
test_sine (test_signaltools.TestFiltFilt) ... ok
test_signaltools.TestHilbert.test_bad_args ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([[  0.+2.30940108j,   6.+2.30940108j,  12.+2.30940108j], ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([ 0.+2.30940108j,  1.-1.15470054j,  2.-1.15470054j,  3.-1.15470054j, ... ok
test_signaltools.TestHilbert.test_hilbert_axisN((3, 20), [3, 20]) ... ok
test_signaltools.TestHilbert.test_hilbert_axisN((20, 3), [20, 3]) ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([  0.00000000e+00-1.7201583j ,   1.00000000e+00-2.04779451j, ... ok
test_signaltools.TestHilbert.test_hilbert_theoretical ... ok
test_signaltools.TestHilbert2.test_bad_args ... ok
test_basic (test_signaltools.TestLFilterZI) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank2 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank3 (test_signaltools.TestLinearFilterComplex128) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank2 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank3 (test_signaltools.TestLinearFilterComplex64) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterComplexxxiExtended28) ... ok
test_rank2 (test_signaltools.TestLinearFilterComplexxxiExtended28) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterComplexxxiExtended28) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterComplexxxiExtended28) ... ok
test_rank3 (test_signaltools.TestLinearFilterComplexxxiExtended28) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank2 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank3 (test_signaltools.TestLinearFilterDecimal) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank2 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank3 (test_signaltools.TestLinearFilterFloat32) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank2 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank3 (test_signaltools.TestLinearFilterFloat64) ... ok
Regression test for #880: empty array for zi crashes. ... ok
test_rank1 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank2 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank3 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_basic (test_signaltools.TestMedFilt) ... ok
Ticket #1124. Ensure this does not segfault. ... ok
test_basic (test_signaltools.TestOrderFilt) ... ok
test_basic (test_signaltools.TestWiener) ... ok
Test if height of peak in normalized Lomb-Scargle periodogram ... ok
Test if frequency location of peak corresponds to frequency of ... ok
test_spectral.TestLombscargle.test_wrong_shape ... ok
test_spectral.TestLombscargle.test_zero_division ... ok
test_hyperbolic_at_zero (test_waveforms.TestChirp) ... ok
test_hyperbolic_freq_01 (test_waveforms.TestChirp) ... ok
test_hyperbolic_freq_02 (test_waveforms.TestChirp) ... ok
test_hyperbolic_freq_03 (test_waveforms.TestChirp) ... ok
test_integer_all (test_waveforms.TestChirp) ... ok
test_integer_f0 (test_waveforms.TestChirp) ... ok
test_integer_f1 (test_waveforms.TestChirp) ... ok
test_integer_t1 (test_waveforms.TestChirp) ... ok
test_linear_at_zero (test_waveforms.TestChirp) ... ok
test_linear_freq_01 (test_waveforms.TestChirp) ... ok
test_linear_freq_02 (test_waveforms.TestChirp) ... ok
test_logarithmic_at_zero (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_01 (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_02 (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_03 (test_waveforms.TestChirp) ... ok
test_quadratic_at_zero (test_waveforms.TestChirp) ... ok
test_quadratic_at_zero2 (test_waveforms.TestChirp) ... ok
test_quadratic_freq_01 (test_waveforms.TestChirp) ... ok
test_quadratic_freq_02 (test_waveforms.TestChirp) ... ok
test_unknown_method (test_waveforms.TestChirp) ... ok
test_integer_bw (test_waveforms.TestGaussPulse) ... ok
test_integer_bwr (test_waveforms.TestGaussPulse) ... ok
test_integer_fc (test_waveforms.TestGaussPulse) ... ok
test_integer_tpr (test_waveforms.TestGaussPulse) ... ok
test_sweep_poly_const (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_cubic (test_waveforms.TestSweepPoly) ... ok
Use an array of coefficients instead of a poly1d. ... ok
Use a list of coefficients instead of a poly1d. ... ok
test_sweep_poly_linear (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_quad1 (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_quad2 (test_waveforms.TestSweepPoly) ... ok
test_cascade (test_wavelets.TestWavelets) ... ok
test_daub (test_wavelets.TestWavelets) ... ok
test_morlet (test_wavelets.TestWavelets) ... ok
test_qmf (test_wavelets.TestWavelets) ... ok
test_windows.TestChebWin.test_cheb_even ... ok
test_windows.TestChebWin.test_cheb_odd ... ok
test_windows.TestGetWindow.test_boxcar ... ok
test_windows.TestGetWindow.test_cheb_even ... ok
test_windows.TestGetWindow.test_cheb_odd ... ok
Getting factors of complex matrix ... SKIP: Skipping test: test_complex_lu
UMFPACK appears not to be compiled
Getting factors of real matrix ... SKIP: Skipping test: test_real_lu
UMFPACK appears not to be compiled
Getting factors of complex matrix ... SKIP: Skipping test: test_complex_lu
UMFPACK appears not to be compiled
Getting factors of real matrix ... SKIP: Skipping test: test_real_lu
UMFPACK appears not to be compiled
Prefactorize (with UMFPACK) matrix for solving with multiple rhs ... SKIP: Skipping test: test_factorized_umfpack
UMFPACK appears not to be compiled
Prefactorize matrix for solving with multiple rhs ... SKIP: Skipping test: test_factorized_without_umfpack
UMFPACK appears not to be compiled
Solve with UMFPACK: double precision complex ... SKIP: Skipping test: test_solve_complex_umfpack
UMFPACK appears not to be compiled
Solve: single precision complex ... SKIP: Skipping test: test_solve_complex_without_umfpack
UMFPACK appears not to be compiled
Solve with UMFPACK: double precision, sparse rhs ... SKIP: Skipping test: test_solve_sparse_rhs
UMFPACK appears not to be compiled
Solve with UMFPACK: double precision ... SKIP: Skipping test: test_solve_umfpack
UMFPACK appears not to be compiled
Solve: single precision ... SKIP: Skipping test: test_solve_without_umfpack
UMFPACK appears not to be compiled
test_non_square (test_linsolve.TestLinsolve) ... ok
test_singular (test_linsolve.TestLinsolve) ... ok
test_smoketest (test_linsolve.TestLinsolve) ... ok
test_twodiags (test_linsolve.TestLinsolve) ... ok
test_linsolve.TestSplu.test_lu_refcount ... ok
test_linsolve.TestSplu.test_spilu_nnz0 ... ok
test_linsolve.TestSplu.test_spilu_smoketest ... ok
test_linsolve.TestSplu.test_splu_basic ... ok
test_linsolve.TestSplu.test_splu_nnz0 ... ok
test_linsolve.TestSplu.test_splu_perm ... ok
test_linsolve.TestSplu.test_splu_smoketest ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py:103: RuntimeWarning: invalid value encountered in absolute
  ind = np.argsort(abs(reval))
FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py:86: RuntimeWarning: divide by zero encountered in divide
  reval = 1. / (eval - sigma)
FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/numpy/core/fromnumeric.py:2296: RuntimeWarning: overflow encountered in multiply
  return round(decimals, out)
FAIL
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... FAIL
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x1006b5230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'buckling') ... /usr/local/Cellar/python/2.7.2/lib/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py:96: RuntimeWarning: divide by zero encountered in divide
  reval = eval / (eval - sigma)
FAIL
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1039a2230>, None, 'cayley') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1039a2230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'normal') ... ERROR
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x1006b5230>, None, 'buckling') ... 



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