Attachment 882406 Details for Bug 877920 – output of scipy test suite

output of scipy test suite

scipy_test.log (text/x-log), 729.38 KB, created by Branislav Náter on 2014-04-03 20:01:09 UTC

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Creator: Branislav Náter

Created: 2014-04-03 20:01:09 UTC

Size: 729.38 KB

patch

obsolete

>nose.config: INFO: Ignoring files matching ['^\\.', '^_', '^setup\\.py$']
>nose.config: INFO: Excluding tests matching ['f2py_ext', 'f2py_f90_ext', 'gen_ext', 'pyrex_ext', 'swig_ext']
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/fftpack/convolve.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/integrate/lsoda.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/integrate/vode.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/interpolate/dfitpack.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/interpolate/interpnd.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/io/matlab/mio5_utils.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/io/matlab/mio_utils.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/io/matlab/streams.so is executable; skipped
>/usr/lib64/python2.7/site-packages/numpy/lib/utils.py:139: DeprecationWarning: `scipy.lib.blas` is deprecated, use `scipy.linalg.blas` instead!
>  warnings.warn(depdoc, DeprecationWarning)
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/lib/blas/cblas.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/lib/blas/fblas.so is executable; skipped
>/usr/lib64/python2.7/site-packages/numpy/lib/utils.py:139: DeprecationWarning: `scipy.lib.lapack` is deprecated, use `scipy.linalg.lapack` instead!
>  warnings.warn(depdoc, DeprecationWarning)
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/lib/lapack/calc_lwork.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/lib/lapack/clapack.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/lib/lapack/flapack.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/linalg/calc_lwork.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/optimize/minpack2.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/optimize/moduleTNC.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/signal/sigtools.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/signal/spline.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/spatial/ckdtree.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/spatial/qhull.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/special/specfun.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/stats/futil.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/stats/mvn.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/stats/statlib.so is executable; skipped
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/stats/vonmises_cython.so is executable; skipped
>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 dendrogram calculation on single linkage of the tdist data set. ... 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__vq_sametype (test_vq.TestVq) ... 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
>nose.selector: INFO: /usr/lib64/python2.7/site-packages/scipy/cluster/tests/vq_test.py is executable; skipped
>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.TestDSTIDouble) ... ok
>test_definition (test_real_transforms.TestDSTIFloat) ... ok
>test_definition (test_real_transforms.TestDSTIIDouble) ... ok
>test_definition (test_real_transforms.TestDSTIIFloat) ... ok
>test_definition (test_real_transforms.TestDSTIIIDouble) ... ok
>test_definition (test_real_transforms.TestDSTIIIFloat) ... 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_definition (test_real_transforms.TestIDSTIDouble) ... ok
>test_definition (test_real_transforms.TestIDSTIFloat) ... ok
>test_definition (test_real_transforms.TestIDSTIIDouble) ... ok
>test_definition (test_real_transforms.TestIDSTIIFloat) ... ok
>test_definition (test_real_transforms.TestIDSTIIIDouble) ... ok
>test_definition (test_real_transforms.TestIDSTIIIFloat) ... ok
>test_real_transforms.TestOverwrite.test_dct ... ok
>test_real_transforms.TestOverwrite.test_dst ... ok
>test_real_transforms.TestOverwrite.test_idct ... ok
>test_real_transforms.TestOverwrite.test_idst ... 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
>test_no_params (test_integrate.LSODACheckParameterUse) ... ok
>test_one_scalar_param (test_integrate.LSODACheckParameterUse) ... ok
>test_two_scalar_params (test_integrate.LSODACheckParameterUse) ... ok
>test_vector_param (test_integrate.LSODACheckParameterUse) ... ok
>Check the dop853 solver ... ok
>Check the dopri5 solver ... ok
>Check the lsoda 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 lsoda 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_improvement (test_quadpack.TestCtypesQuad) ... KNOWNFAIL: Unreliable test, see ticket 1684.
>test_typical (test_quadpack.TestCtypesQuad) ... 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_1d (test_quadrature.TestCumtrapz) ... ok
>test_nd (test_quadrature.TestCumtrapz) ... ok
>test_x_none (test_quadrature.TestCumtrapz) ... 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_smoke_bisplrep_bisplev (test_fitpack.TestSmokeTests) ... ok
>test_smoke_splint_spalde (test_fitpack.TestSmokeTests) ... ok
>test_smoke_splprep_splrep_splev (test_fitpack.TestSmokeTests) ... ok
>test_smoke_splrep_splev (test_fitpack.TestSmokeTests) ... ok
>test_smoke_sproot (test_fitpack.TestSmokeTests) ... ok
>test_1d_shape (test_fitpack.TestSplev) ... ok
>test_bilinearity (test_fitpack2.TestLSQBivariateSpline) ... ok
>Test whether empty inputs returns an empty output. Ticket 1014 ... ok
>test_integral (test_fitpack2.TestLSQBivariateSpline) ... ok
>test_linear_constant (test_fitpack2.TestLSQBivariateSpline) ... ok
>test_empty_input (test_fitpack2.TestLSQSphereBivariateSpline) ... ok
>test_linear_constant (test_fitpack2.TestLSQSphereBivariateSpline) ... ok
>test_defaults (test_fitpack2.TestRectBivariateSpline) ... ok
>test_evaluate (test_fitpack2.TestRectBivariateSpline) ... ok
>test_defaults (test_fitpack2.TestRectSphereBivariateSpline) ... ok
>test_evaluate (test_fitpack2.TestRectSphereBivariateSpline) ... ok
>test_integral (test_fitpack2.TestSmoothBivariateSpline) ... ok
>test_linear_1d (test_fitpack2.TestSmoothBivariateSpline) ... ok
>test_linear_constant (test_fitpack2.TestSmoothBivariateSpline) ... ok
>test_empty_input (test_fitpack2.TestSmoothSphereBivariateSpline) ... ok
>test_linear_constant (test_fitpack2.TestSmoothSphereBivariateSpline) ... ok
>Test whether empty input returns an empty output. Ticket 1014 ... ok
>test_linear_1d (test_fitpack2.TestUnivariateSpline) ... ok
>test_linear_constant (test_fitpack2.TestUnivariateSpline) ... ok
>test_preserve_shape (test_fitpack2.TestUnivariateSpline) ... ok
>Regression test for #1375. ... ok
>test_subclassing (test_fitpack2.TestUnivariateSpline) ... ok
>test_interpnd.TestCloughTocher2DInterpolator.test_dense ... ok
>test_interpnd.TestCloughTocher2DInterpolator.test_linear_smoketest ... ok
>test_interpnd.TestCloughTocher2DInterpolator.test_pickle ... ok
>test_interpnd.TestCloughTocher2DInterpolator.test_quadratic_smoketest ... ok
>test_interpnd.TestCloughTocher2DInterpolator.test_tri_input ... 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_pickle ... ok
>test_interpnd.TestLinearNDInterpolation.test_smoketest ... ok
>test_interpnd.TestLinearNDInterpolation.test_smoketest_alternate ... ok
>test_interpnd.TestLinearNDInterpolation.test_square ... ok
>test_interpnd.TestLinearNDInterpolation.test_tri_input ... 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_bounds (test_interpolate.TestInterp2D) ... ok
>test_interp2d_linear (test_interpolate.TestInterp2D) ... ok
>test_interp2d_meshgrid_input (test_interpolate.TestInterp2D) ... ok
>test_interp2d_meshgrid_input_unsorted (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) ... 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_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
>test_polyint.test_shapes(<class 'scipy.interpolate.polyint.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (0,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (0,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (0,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (0,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (1,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (1,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (1,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (1,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), -3) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), -3) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), -2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), -2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), 1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), 1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (), (3, 2, 5), (3,), 2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (), (3, 2, 5), (4,), 2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (0,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (0,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (0,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (0,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (1,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (1,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (1,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (1,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), -3) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), -3) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), -2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), -2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), 1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), 1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (0,), (3, 2, 5), (3,), 2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (0,), (3, 2, 5), (4,), 2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (0,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (0,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (0,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (0,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (1,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (1,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (1,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (1,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), -3) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), -3) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), -2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), -2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), 1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), 1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (1,), (3, 2, 5), (3,), 2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (1,), (3, 2, 5), (4,), 2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (0,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (0,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (0,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (0,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (1,), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (1,), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (1,), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (1,), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), -3) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), -3) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), -2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), -2) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), -1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), -1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), 0) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), 0) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), 1) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), 1) ... ok
>test_polyint.test_derivs_shapes(<function krogh_derivs at 0x2a4b578>, (3, 2, 5), (3, 2, 5), (3,), 2) ... ok
>test_polyint.test_derivs_shapes(<function pchip_derivs at 0x2a58de8>, (3, 2, 5), (3, 2, 5), (4,), 2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (0,), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (1,), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function krogh_deriv at 0x2a58d70>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (0,), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (1,), (3, 2, 5), (), 2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (0,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (0,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (1,), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (1,), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
>test_polyint.test_deriv_shapes(<function pchip_deriv at 0x2a58cf8>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
>test_polyint.test_complex(<class 'scipy.interpolate.polyint.KroghInterpolator'>,) ... ok
>test_polyint.test_complex(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>,) ... ok
>test_polyint.test_complex(<class 'scipy.interpolate.polyint.PchipInterpolator'>,) ... 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
>test_rbf.test_rbf_epsilon_none ... 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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat'], {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
>test_mio.test_load('sparse', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat'], {'testminus': array([[-1]])}) ... ok
>test_mio.test_load('onechar', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat'], {'testcell': array([[ array([u'This cell contains this string and 3 arrays of increasing length'], ... ok
>test_mio.test_load('scalarcell', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat'], {'testscalarcell': array([[array([[1]])]], dtype=object)}) ... ok
>test_mio.test_load('emptycell', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat'], {'testemptycell': array([[array([[1]]), array([[2]]), array([], shape=(0, 0), dtype=float64), ... ok
>test_mio.test_load('stringarray', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat'], {'testcellnest': array([[array([[1]]), ... ok
>test_mio.test_load('structnest', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat'], {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
>test_mio.test_load('object', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/lib64/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/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/lib64/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_whos('double', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat', '/usr/lib64/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_whos('string', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat', '/usr/lib64/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_whos('complex', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat', '/usr/lib64/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_whos('matrix', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat'], {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
>test_mio.test_whos('sparse', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/lib64/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_whos('sparsecomplex', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/lib64/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_whos('multi', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat', '/usr/lib64/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_whos('minus', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat'], {'testminus': array([[-1]])}, {'testminus': 'double'}) ... ok
>test_mio.test_whos('onechar', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.4_GLNX86.mat'], {'testonechar': array([u'r'], ... ok
>test_mio.test_whos('cell', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat'], {'testcell': array([[ array([u'This cell contains this string and 3 arrays of increasing length'], ... ok
>test_mio.test_whos('scalarcell', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat'], {'testscalarcell': array([[array([[1]])]], dtype=object)}, {'testscalarcell': 'cell'}) ... ok
>test_mio.test_whos('emptycell', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat'], {'testemptycell': array([[array([[1]]), array([[2]]), array([], shape=(0, 0), dtype=float64), ... ok
>test_mio.test_whos('stringarray', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat', '/usr/lib64/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_whos('3dmatrix', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.4_GLNX86.mat'], {'test3dmatrix': array([[[ 1,  7, 13, 19], ... ok
>test_mio.test_whos('struct', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat', '/usr/lib64/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_whos('cellnest', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat'], {'testcellnest': array([[array([[1]]), ... ok
>test_mio.test_whos('structnest', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat', '/usr/lib64/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_whos('structarr', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat'], {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
>test_mio.test_whos('object', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat', '/usr/lib64/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_whos('unicode', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat', '/usr/lib64/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_whos('sparse', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/usr/lib64/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_whos('sparsecomplex', ['/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/usr/lib64/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([[ array([u'This cell contains this string and 3 arrays of increasing length'], ... ok
>test_mio.test_round_trip('scalarcell_round_trip', {'testscalarcell': array([[array([[1]])]], dtype=object)}, '5') ... ok
>test_mio.test_round_trip('emptycell_round_trip', {'testemptycell': array([[array([[1]]), array([[2]]), array([], shape=(0, 0), dtype=float64), ... 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([[array([[1]]), ... 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 ... 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', 'O'), ('f2', 'O')]), dtype([('f1', 'O'), ('f2', 'O')])) ... 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 0x2cedb50>>, {'__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_scalar_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_mio.test_load_mat4_le ... 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 0x2e09b00>) ... ok
>test_mio5_utils.test_read_tag(<type 'exceptions.ValueError'>, <built-in method read_tag of scipy.io.matlab.mio5_utils.VarReader5 object at 0x2e09b00>) ... 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 0x2cf0050>, 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 0x2cf0050>, 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 0x2ce3950>, 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 0x2ce3950>, 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 0x2cdead0>, 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 0x2cdead0>, 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'>, <_io.BytesIO object at 0x2e19350>, '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_itemset_no_segfault_on_readonly ... ok
>test_netcdf.test_write_invalid_dtype(<type 'exceptions.ValueError'>, <bound method netcdf_file.createVariable of <scipy.io.netcdf.netcdf_file object at 0x2e44110>>, '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 0x2e44110>>, '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 0x2e44110>>, '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 0x2e44110>>, 'time', 'uint', ('time',)) ... ok
>test_netcdf.test_flush_rewind ... ok
>test_netcdf.test_dtype_specifiers ... ok
>test_netcdf.test_ticket_1720 ... ok
>test_wavfile.test_read_1 ... 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) ... ok
>test_axpy (test_blas.TestFBLAS1Simple) ... ok
>test_copy (test_blas.TestFBLAS1Simple) ... ok
>test_dot (test_blas.TestFBLAS1Simple) ... ok
>test_nrm2 (test_blas.TestFBLAS1Simple) ... ok
>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_check_finite (test_basic.TestDet) ... 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_check_finite (test_basic.TestInv) ... 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_check_finite (test_basic.TestLstsq) ... 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 ... ok
>test_basic.TestNorm.test_stable ... ok
>test_basic.TestNorm.test_types ... ok
>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_pinvh ... 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_check_finite (test_basic.TestPinv) ... ok
>test_simple_cols (test_basic.TestPinv) ... ok
>test_simple_complex (test_basic.TestPinv) ... ok
>test_simple_real (test_basic.TestPinv) ... ok
>test_simple_rows (test_basic.TestPinv) ... ok
>test_simple_singular (test_basic.TestPinv) ... ok
>test_nonpositive (test_basic.TestPinvSymmetric) ... ok
>test_simple_complex (test_basic.TestPinvSymmetric) ... ok
>test_simple_real (test_basic.TestPinvSymmetric) ... ok
>test_20Feb04_bug (test_basic.TestSolve) ... ok
>test_check_finite (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_check_finite (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
>test_check_finite (test_basic.TestSolveHBanded) ... ok
>solve_triangular on a simple 2x2 matrix. ... 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) ... ok
>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) ... ok
>test_nrm2 (test_blas.TestFBLAS1Simple) ... ok
>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) ... ok
>test_datacopied (test_decomp.TestDatacopied) ... ok
>test_simple (test_decomp.TestDiagSVD) ... ok
>test_decomp.TestEig.test_bad_geneig ... ok
>test_decomp.TestEig.test_check_finite ... 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_decomp.TestEig.test_singular ... KNOWNFAIL: See ticket #1735
>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_check_finite (test_decomp.TestEigVals) ... ok
>test_simple (test_decomp.TestEigVals) ... ok
>test_simple_complex (test_decomp.TestEigVals) ... ok
>test_simple_tr (test_decomp.TestEigVals) ... ok
>test_check_finite (test_decomp.TestHessenberg) ... 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_check_finite (test_decomp.TestLU) ... 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_check_finite (test_decomp.TestLUSingle) ... 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_check_finite (test_decomp.TestLUSolve) ... 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_check_finite (test_decomp.TestQR) ... ok
>test_random (test_decomp.TestQR) ... ok
>test_random_complex (test_decomp.TestQR) ... ok
>test_random_complex_left (test_decomp.TestQR) ... ok
>test_random_complex_pivoting (test_decomp.TestQR) ... ok
>test_random_complex_right (test_decomp.TestQR) ... ok
>test_random_left (test_decomp.TestQR) ... ok
>test_random_pivoting (test_decomp.TestQR) ... ok
>test_random_right (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_left (test_decomp.TestQR) ... ok
>test_random_tall_pivoting (test_decomp.TestQR) ... ok
>test_random_tall_right (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_left (test_decomp.TestQR) ... ok
>test_simple_complex_left_conjugate (test_decomp.TestQR) ... ok
>test_simple_complex_left_pivoting (test_decomp.TestQR) ... ok
>test_simple_complex_pivoting (test_decomp.TestQR) ... ok
>test_simple_complex_right (test_decomp.TestQR) ... ok
>test_simple_complex_right_conjugate (test_decomp.TestQR) ... ok
>test_simple_complex_right_pivoting (test_decomp.TestQR) ... ok
>test_simple_complex_tall_left_conjugate (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_left (test_decomp.TestQR) ... ok
>test_simple_fat_left_pivoting (test_decomp.TestQR) ... ok
>test_simple_fat_pivoting (test_decomp.TestQR) ... ok
>test_simple_fat_right (test_decomp.TestQR) ... ok
>test_simple_fat_right_pivoting (test_decomp.TestQR) ... ok
>test_simple_left (test_decomp.TestQR) ... ok
>test_simple_left_pivoting (test_decomp.TestQR) ... ok
>test_simple_pivoting (test_decomp.TestQR) ... ok
>test_simple_right (test_decomp.TestQR) ... ok
>test_simple_right_pivoting (test_decomp.TestQR) ... ok
>test_simple_tall (test_decomp.TestQR) ... ok
>test_simple_tall_complex_left (test_decomp.TestQR) ... ok
>test_simple_tall_e (test_decomp.TestQR) ... ok
>test_simple_tall_e_pivoting (test_decomp.TestQR) ... ok
>test_simple_tall_left (test_decomp.TestQR) ... ok
>test_simple_tall_left_pivoting (test_decomp.TestQR) ... ok
>test_simple_tall_pivoting (test_decomp.TestQR) ... ok
>test_simple_tall_right (test_decomp.TestQR) ... ok
>test_simple_tall_right_pivoting (test_decomp.TestQR) ... ok
>test_simple_trap (test_decomp.TestQR) ... ok
>test_simple_trap_pivoting (test_decomp.TestQR) ... ok
>test_check_finite (test_decomp.TestQZ) ... ok
>test_qz_complex (test_decomp.TestQZ) ... ok
>test_qz_complex64 (test_decomp.TestQZ) ... ok
>test_qz_double (test_decomp.TestQZ) ... ok
>test_qz_double_complex (test_decomp.TestQZ) ... ok
>test_qz_double_sort (test_decomp.TestQZ) ... ok
>test_qz_single (test_decomp.TestQZ) ... ok
>test_check_finite (test_decomp.TestRQ) ... 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_check_finite (test_decomp.TestSVD) ... ok
>test_crash_1580 (test_decomp.TestSVD) ... 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_check_finite (test_decomp.TestSVDVals) ... 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_check_finite (test_decomp.TestSchur) ... 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_check_finite (test_decomp_cholesky.TestCholesky) ... ok
>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_check_finite (test_decomp_cholesky.TestCholeskyBanded) ... 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_trsyl (test_lapack.TestFlapackSimple) ... ok
>test_clapack (test_lapack.TestLapack) ... ok
>test_flapack (test_lapack.TestLapack) ... ok
>test_ticket_1645 (test_lapack.TestRegression) ... 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_cases (test_solvers.TestSolveContinuousARE) ... ok
>test_cases (test_solvers.TestSolveDiscreteARE) ... ok
>test_cases (test_solvers.TestSolveLyapunov) ... ok
>test_cases (test_solvers.TestSolveSylvester) ... ok
>test_trivial (test_solvers.TestSolveSylvester) ... 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_big (test_special_matrices.TestPascal) ... ok
>test_cases (test_special_matrices.TestPascal) ... 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_common.test_pade_trivial ... ok
>test_common.test_pade_4term_exp ... ok
>Test whether logsumexp() function correctly handles large inputs. ... ok
>test_common.test_logsumexp_b ... 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_bytescale_keywords (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_bytescale_keywords
>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 ... KNOWNFAIL: Test skipped due to known failure
>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 0x1bb2668>, array([ 0.]), 1, -1) ... ok
>test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter at 0x1bb2668>, 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 0x1bb25f0>, array([ 0.]), 1, -1, -1) ... ok
>test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter1d at 0x1bb25f0>, 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
>test label with specified output with type ... ok
>test label with specified output dtype ... ok
>test label with output of wrong size ... 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
>Apply the stat funcs to a 2-d array. ... ok
>test_ndimage.TestDilateFix.test_dilation_scalar_size ... ok
>test_ndimage.TestDilateFix.test_dilation_square_structure ... 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
>Ticket #954 ... 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 3 ... ok
>zoom by affine transformation 1 ... ok
>Ticket #1419 ... ok
>Ticket #1122 ... 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_1d_grad (test__basinhopping.TestBasinHopping) ... ok
>test_2d (test__basinhopping.TestBasinHopping) ... ok
>test_2d_nograd (test__basinhopping.TestBasinHopping) ... ok
>test_TypeError (test__basinhopping.TestBasinHopping) ... ok
>test_all_minimizers (test__basinhopping.TestBasinHopping) ... ok
>test_njev (test__basinhopping.TestBasinHopping) ... ok
>test_pass_accept_test (test__basinhopping.TestBasinHopping) ... ok
>test_pass_callback (test__basinhopping.TestBasinHopping) ... ok
>test_pass_simple_takestep (test__basinhopping.TestBasinHopping) ... ok
>test_pass_takestep (test__basinhopping.TestBasinHopping) ... ok
>test_adaptive_decrease (test__basinhopping.Test_AdaptiveStepsize) ... ok
>test_adaptive_increase (test__basinhopping.Test_AdaptiveStepsize) ... ok
>test_all_accepted (test__basinhopping.Test_AdaptiveStepsize) ... ok
>test_all_rejected (test__basinhopping.Test_AdaptiveStepsize) ... ok
>test_KeyError (test__basinhopping.Test_Metropolis) ... ok
>test_accept (test__basinhopping.Test_Metropolis) ... ok
>test_boolean_return (test__basinhopping.Test_Metropolis) ... ok
>test_lower_f_accepted (test__basinhopping.Test_Metropolis) ... ok
>test_random (test__basinhopping.Test_RandomDisplacement) ... ok
>test_higher_f_rejected (test__basinhopping.Test_Storage) ... ok
>test_lower_f_accepted (test__basinhopping.Test_Storage) ... ok
>test__root.TestRoot.test_tol_parameter ... ok
>Anneal: test for Boltzmann schedule ... ok
>Anneal: test for Cauchy schedule ... ok
>Anneal: test for fast schedule ... ok
>minimize with 'anneal' method ... ok
>Minimize with method='COBYLA' ... ok
>fmin_cobyla ... 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_func_is_classmethod (test_minpack.TestCurveFit) ... ok
>test_one_argument (test_minpack.TestCurveFit) ... ok
>test_two_argument (test_minpack.TestCurveFit) ... ok
>test_float32 (test_minpack.TestFSolve) ... 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 '__name__' attribute. ... ok
>test_wrong_shape_fprime_function (test_minpack.TestFSolve) ... ok
>The callable 'func' has no '__name__' attribute. ... ok
>test_wrong_shape_func_function (test_minpack.TestFSolve) ... 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_float32 (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 '__name__' attribute. ... ok
>test_wrong_shape_Dfun_function (test_minpack.TestLeastSq) ... ok
>The callable 'func' has no '__name__' attribute. ... ok
>test_wrong_shape_func_function (test_minpack.TestLeastSq) ... ok
>root/hybr without gradient, equal pipes -> equal flows ... ok
>root/hybr with gradient, equal pipes -> equal flows ... ok
>root/hybr with gradient and function combined, equal pipes -> equal flows ... ok
>root/lm without gradient, equal pipes -> equal flows ... ok
>test_nnls (test_nnls.TestNNLS) ... 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
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for nonlin functions ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... ok
>Tests for root ... 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_root_anderson (test_nonlin.TestNonlinOldTests) ... ok
>test_root_broyden1 (test_nonlin.TestNonlinOldTests) ... ok
>test_root_broyden2 (test_nonlin.TestNonlinOldTests) ... ok
>test_root_diagbroyden (test_nonlin.TestNonlinOldTests) ... ok
>test_root_excitingmixing (test_nonlin.TestNonlinOldTests) ... ok
>test_root_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
>L-BFGS-B with bounds ... ok
>L-BFGS-B with fun and jac combined and extra arguments ... ok
>Minimize with method='L-BFGS-B' with bounds ... ok
>Broyden-Fletcher-Goldfarb-Shanno optimization routine ... ok
>Test corner case where -Inf is the minimum.  See #1494. ... ok
>Test corner case where nan is fed to optimizer.  See #1542. ... ok
>BFGS with numerical jacobian and a vector epsilon parameter ... ok
>conjugate gradient optimization routine ... ok
>limited-memory bound-constrained BFGS algorithm ... ok
>L-BFGS-B with combined objective function and jacobian ... ok
>L-BFGS-B with numerical jacobian ... ok
>Tests for the minimize wrapper. ... ok
>Minimize with L-BFGS-B method ... ok
>test_minimize_l_bfgs_b_ftol (test_optimize.TestOptimize) ... ok
>test_minimize_tol_parameter (test_optimize.TestOptimize) ... ok
>line-search Newton conjugate gradient optimization routine ... ok
>Newton conjugate gradient with Hessian ... ok
>Newton conjugate gradient with Hessian times a vector p ... ok
>Nelder-Mead simplex algorithm ... ok
>Powell (direction set) optimization routine ... ok
>brent algorithm ... ok
>Test fminbound ... ok
>test_fminbound_scalar (test_optimize.TestOptimizeScalar) ... ok
>golden algorithm ... ok
>test_minimize_scalar (test_optimize.TestOptimizeScalar) ... ok
>Compare rosen_hess(x) times p with rosen_hess_prod(x,p) (ticket #1248) ... ok
>Minimize, method=TNC, 1 ... ok
>Minimize, method=TNC, 1b (approx gradient) ... ok
>Minimize, method=TNC, 1c (combined function and gradient) ... ok
>Minimize, method=TNC, 2 ... ok
>Minimize, method=TNC, 3 ... ok
>Minimize, method=TNC, 38 ... ok
>Minimize, method=TNC, 4 ... ok
>Minimize, method=TNC, 45 ... ok
>Minimize, method=TNC, 5 ... ok
>TNC: test 1 ... ok
>TNC: test 1 (approx. gradient) ... ok
>TNC: test 1 (separate fprime) ... ok
>TNC: test 2 ... ok
>TNC: test 3 ... ok
>TNC: test 38 ... ok
>TNC: test 4 ... ok
>TNC: test 45 ... ok
>TNC: test 5 ... ok
>Ticket #1214 ... ok
>Ticket #1074 ... ok
>SLSQP: bounds, eq. const., given jac. for fun. and const. ... ok
>SLSQP: equality constraint, approximated jacobian. ... ok
>SLSQP: equality constraint, given jacobian. ... ok
>SLSQP: equality constraint, given jacobian for fun and const. ... ok
>SLSQP: inequality constraint, given jacobian. ... ok
>test_integer_bounds (test_slsqp.TestSLSQP) ... ok
>Minimize with method='SLSQP': bounds, eq. const., given jac. for ... ok
>Minimize with method='SLSQP': equality constraint, approx. jacobian. ... ok
>Minimize with method='SLSQP': equality constraint, given jacobian. ... ok
>Minimize with method='SLSQP': equality constraint, given jacobian ... ok
>Minimize with method='SLSQP': scalar equality constraint, given ... ok
>Minimize with method='SLSQP': inequality constraint, given jacobian. ... ok
>Minimize with method='SLSQP': vector inequality constraint, given jacobian. ... ok
>Minimize, method='SLSQP': unbounded, approximated jacobian. ... ok
>Minimize, method='SLSQP': unbounded, combined function and jacobian. ... ok
>Minimize, method='SLSQP': unbounded, given jacobian. ... ok
>Ticket #1657 ... ok
>SLSQP: unbounded, approximated jacobian. ... ok
>SLSQP: unbounded, given jacobian. ... 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_newton (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
>Test for false positive on allclose in normalize() in ... 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 bode() magnitude calculation (manual sanity check). ... ok
>Test bode() phase calculation (manual sanity check). ... ok
>Test bode() magnitude calculation. ... ok
>Test bode() phase calculation. ... ok
>Test that bode() finds a reasonable frequency range. ... ok
>Test that bode() doesn't fail on a system with a pole at 0. ... ok
>test_ltisys.Test_freqresp.test_freq_range ... ok
>test_ltisys.Test_freqresp.test_imag_part ... ok
>test_ltisys.Test_freqresp.test_imag_part_manual ... ok
>test_ltisys.Test_freqresp.test_pole_zero ... ok
>test_ltisys.Test_freqresp.test_real_part ... ok
>test_ltisys.Test_freqresp.test_real_part_manual ... 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_ltisys.test_lti_instantiation ... ok
>test_2d_gaussians (test_peak_finding.TestArgrelmax) ... ok
>test_highorder (test_peak_finding.TestArgrelmax) ... ok
>Generate a series of gaussians and attempt to find the peak locations. ... ok
>Verify that no peak is found in ... ok
>Verify that peak locations are (approximately) found ... ok
>test_empty (test_peak_finding.TestRidgeLines) ... ok
>test_minimal (test_peak_finding.TestRidgeLines) ... ok
>test_single_bigdist (test_peak_finding.TestRidgeLines) ... ok
>test_single_biggap (test_peak_finding.TestRidgeLines) ... ok
>test_single_biggaps (test_peak_finding.TestRidgeLines) ... ok
>test_single_pass (test_peak_finding.TestRidgeLines) ... 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_single_element (test_signaltools.TestConvolve) ... ok
>test_valid_mode (test_signaltools.TestConvolve) ... ok
>test_zero_rank (test_signaltools.TestConvolve) ... ok
>test_2d_arrays (test_signaltools.TestConvolve2d) ... ok
>test_consistency_convolve_funcs (test_signaltools.TestConvolve2d) ... ok
>test_fillvalue (test_signaltools.TestConvolve2d) ... ok
>test_same_mode (test_signaltools.TestConvolve2d) ... ok
>test_sym_boundary (test_signaltools.TestConvolve2d) ... ok
>test_valid_mode (test_signaltools.TestConvolve2d) ... ok
>test_valid_mode2 (test_signaltools.TestConvolve2d) ... ok
>test_wrap_boundary (test_signaltools.TestConvolve2d) ... ok
>test_consistency_correlate_funcs (test_signaltools.TestCorrelate2d) ... 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
>test_signaltools.TestDecimate.test_shape ... ok
>test_2d_complex_same (test_signaltools.TestFFTConvolve) ... ok
>test_2d_real_same (test_signaltools.TestFFTConvolve) ... ok
>test_complex (test_signaltools.TestFFTConvolve) ... ok
>test_empty (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_same_mode2 (test_signaltools.TestFFTConvolve) ... ok
>test_real_valid_mode (test_signaltools.TestFFTConvolve) ... ok
>test_real_valid_mode2 (test_signaltools.TestFFTConvolve) ... ok
>test_single_element (test_signaltools.TestFFTConvolve) ... ok
>test_zero_rank (test_signaltools.TestFFTConvolve) ... ok
>test_axis (test_signaltools.TestFiltFilt) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterComplex128) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterComplex64) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterComplexxxiExtended28) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterDecimal) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterFloat32) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterFloat64) ... 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
>test_empty_zi (test_signaltools.TestLinearFilterFloatExtended) ... 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_empty_zi (test_signaltools.TestLinearFilterObject) ... ok
>test_rank1 (test_signaltools.TestLinearFilterObject) ... ok
>test_rank2 (test_signaltools.TestLinearFilterObject) ... ok
>test_rank2_init_cond_a0 (test_signaltools.TestLinearFilterObject) ... ok
>test_rank2_init_cond_a1 (test_signaltools.TestLinearFilterObject) ... ok
>test_rank3 (test_signaltools.TestLinearFilterObject) ... ok
>test_basic (test_signaltools.TestMedFilt) ... ok
>test_none (test_signaltools.TestMedFilt) ... ok
>test_basic (test_signaltools.TestOrderFilt) ... ok
>test_basic (test_signaltools.TestWiener) ... ok
>test_signaltools.test_lfilter_bad_object ... 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_complex (test_spectral.TestPeriodogram) ... ok
>test_empty_input (test_spectral.TestPeriodogram) ... ok
>test_nd_axis_0 (test_spectral.TestPeriodogram) ... ok
>test_nd_axis_m1 (test_spectral.TestPeriodogram) ... ok
>test_nfft_is_xshape (test_spectral.TestPeriodogram) ... ok
>test_padded_fft (test_spectral.TestPeriodogram) ... ok
>test_real_onesided_even (test_spectral.TestPeriodogram) ... ok
>test_real_onesided_odd (test_spectral.TestPeriodogram) ... ok
>test_real_spectrum (test_spectral.TestPeriodogram) ... ok
>test_real_twosided (test_spectral.TestPeriodogram) ... ok
>test_short_nfft (test_spectral.TestPeriodogram) ... ok
>test_unk_scaling (test_spectral.TestPeriodogram) ... ok
>test_window_external (test_spectral.TestPeriodogram) ... ok
>test_bad_noverlap (test_spectral.TestWelch) ... ok
>test_complex (test_spectral.TestWelch) ... ok
>test_detrend_external (test_spectral.TestWelch) ... ok
>test_detrend_external_nd_0 (test_spectral.TestWelch) ... ok
>test_detrend_external_nd_m1 (test_spectral.TestWelch) ... ok
>test_detrend_linear (test_spectral.TestWelch) ... ok
>test_empty_input (test_spectral.TestWelch) ... ok
>test_nd_axis_0 (test_spectral.TestWelch) ... ok
>test_nd_axis_m1 (test_spectral.TestWelch) ... ok
>test_nfft_too_short (test_spectral.TestWelch) ... ok
>test_nondefault_noverlap (test_spectral.TestWelch) ... ok
>test_real_onesided_even (test_spectral.TestWelch) ... ok
>test_real_onesided_odd (test_spectral.TestWelch) ... ok
>test_real_spectrum (test_spectral.TestWelch) ... ok
>test_real_twosided (test_spectral.TestWelch) ... ok
>test_short_data (test_spectral.TestWelch) ... ok
>test_unk_scaling (test_spectral.TestWelch) ... ok
>test_window_external (test_spectral.TestWelch) ... ok
>test_window_long_or_nd (test_spectral.TestWelch) ... 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_cwt (test_wavelets.TestWavelets) ... ok
>test_daub (test_wavelets.TestWavelets) ... ok
>test_morlet (test_wavelets.TestWavelets) ... ok
>test_qmf (test_wavelets.TestWavelets) ... ok
>test_ricker (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
>test_connected_components.test_weak_connections ... ok
>test_connected_components.test_strong_connections ... ok
>test_connected_components.test_strong_connections2 ... ok
>test_connected_components.test_weak_connections2 ... ok
>test_connected_components.test_ticket1876 ... ok
>test_conversions.test_csgraph_from_dense ... ok
>test_conversions.test_csgraph_to_dense ... ok
>test_conversions.test_multiple_edges ... ok
>test_graph_components.test_cs_graph_components ... ok
>test_graph_laplacian.test_graph_laplacian('np.arange(10) * np.arange(10)[:, np.newaxis]', True) ... ok
>test_graph_laplacian.test_graph_laplacian('np.arange(10) * np.arange(10)[:, np.newaxis]', False) ... ok
>test_graph_laplacian.test_graph_laplacian('np.ones((7, 7))', True) ... ok
>test_graph_laplacian.test_graph_laplacian('np.ones((7, 7))', False) ... ok
>test_graph_laplacian.test_graph_laplacian('np.eye(19)', True) ... ok
>test_graph_laplacian.test_graph_laplacian('np.eye(19)', False) ... ok
>test_graph_laplacian.test_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4))', True) ... ok
>test_graph_laplacian.test_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4))', False) ... ok
>test_graph_laplacian.test_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense()', True) ... ok
>test_graph_laplacian.test_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense()', False) ... ok
>test_graph_laplacian.test_graph_laplacian('np.asarray(sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense())', True) ... ok
>test_graph_laplacian.test_graph_laplacian('np.asarray(sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense())', False) ... ok
>test_graph_laplacian.test_graph_laplacian('np.vander(np.arange(4)) + np.vander(np.arange(4)).T', True) ... ok
>test_graph_laplacian.test_graph_laplacian('np.vander(np.arange(4)) + np.vander(np.arange(4)).T', False) ... ok
>test_shortest_path.test_directed('auto',) ... ok
>test_shortest_path.test_directed('FW',) ... ok
>test_shortest_path.test_directed('D',) ... ok
>test_shortest_path.test_directed('BF',) ... ok
>test_shortest_path.test_directed('J',) ... ok
>test_shortest_path.test_undirected('auto', True) ... ok
>test_shortest_path.test_undirected('auto', False) ... ok
>test_shortest_path.test_undirected('FW', True) ... ok
>test_shortest_path.test_undirected('FW', False) ... ok
>test_shortest_path.test_undirected('D', True) ... ok
>test_shortest_path.test_undirected('D', False) ... ok
>test_shortest_path.test_undirected('BF', True) ... ok
>test_shortest_path.test_undirected('BF', False) ... ok
>test_shortest_path.test_undirected('J', True) ... ok
>test_shortest_path.test_undirected('J', False) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (4,)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (4,)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (4,)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (4, 1)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (4, 1)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (4, 1)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (2, 2)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (2, 2)) ... ok
>test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (2, 2)) ... ok
>test_shortest_path.test_predecessors('auto', True) ... ok
>test_shortest_path.test_predecessors('auto', False) ... ok
>test_shortest_path.test_predecessors('FW', True) ... ok
>test_shortest_path.test_predecessors('FW', False) ... ok
>test_shortest_path.test_predecessors('D', True) ... ok
>test_shortest_path.test_predecessors('D', False) ... ok
>test_shortest_path.test_predecessors('BF', True) ... ok
>test_shortest_path.test_predecessors('BF', False) ... ok
>test_shortest_path.test_predecessors('J', True) ... ok
>test_shortest_path.test_predecessors('J', False) ... ok
>test_shortest_path.test_construct_shortest_path('auto', True) ... ok
>test_shortest_path.test_construct_shortest_path('auto', False) ... ok
>test_shortest_path.test_construct_shortest_path('FW', True) ... ok
>test_shortest_path.test_construct_shortest_path('FW', False) ... ok
>test_shortest_path.test_construct_shortest_path('D', True) ... ok
>test_shortest_path.test_construct_shortest_path('D', False) ... ok
>test_shortest_path.test_construct_shortest_path('BF', True) ... ok
>test_shortest_path.test_construct_shortest_path('BF', False) ... ok
>test_shortest_path.test_construct_shortest_path('J', True) ... ok
>test_shortest_path.test_construct_shortest_path('J', False) ... ok
>test_shortest_path.test_unweighted_path('auto', True) ... ok
>test_shortest_path.test_unweighted_path('auto', False) ... ok
>test_shortest_path.test_unweighted_path('FW', True) ... ok
>test_shortest_path.test_unweighted_path('FW', False) ... ok
>test_shortest_path.test_unweighted_path('D', True) ... ok
>test_shortest_path.test_unweighted_path('D', False) ... ok
>test_shortest_path.test_unweighted_path('BF', True) ... ok
>test_shortest_path.test_unweighted_path('BF', False) ... ok
>test_shortest_path.test_unweighted_path('J', True) ... ok
>test_shortest_path.test_unweighted_path('J', False) ... ok
>test_shortest_path.test_negative_cycles('FW', True) ... ok
>test_shortest_path.test_negative_cycles('FW', False) ... ok
>test_shortest_path.test_negative_cycles('J', True) ... ok
>test_shortest_path.test_negative_cycles('J', False) ... ok
>test_shortest_path.test_negative_cycles('BF', True) ... ok
>test_shortest_path.test_negative_cycles('BF', False) ... ok
>test_shortest_path.test_masked_input('auto',) ... ok
>test_shortest_path.test_masked_input('FW',) ... ok
>test_shortest_path.test_masked_input('D',) ... ok
>test_shortest_path.test_masked_input('BF',) ... ok
>test_shortest_path.test_masked_input('J',) ... ok
>test_spanning_tree.test_minimum_spanning_tree ... ok
>test_traversal.test_graph_breadth_first ... ok
>test_traversal.test_graph_depth_first ... ok
>Getting factors of complex matrix ... ok
>Getting factors of real matrix ... ok
>Getting factors of complex matrix ... ok
>Getting factors of real matrix ... ok
>Prefactorize (with UMFPACK) matrix for solving with multiple rhs ... ok
>Prefactorize matrix for solving with multiple rhs ... ok
>Solve with UMFPACK: double precision complex ... ok
>Solve: single precision complex ... ok
>Solve with UMFPACK: double precision, sparse rhs ... ok
>Solve with UMFPACK: double precision ... ok
>Solve: single precision ... ok
>test_bmatrix_smoketest (test_linsolve.TestLinsolve) ... ok
>test_bvector_smoketest (test_linsolve.TestLinsolve) ... ok
>test_example_comparison (test_linsolve.TestLinsolve) ... ok
>test_non_square (test_linsolve.TestLinsolve) ... ok
>test_singular (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, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, 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, <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, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, 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, <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, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, 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, <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, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, 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, <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, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, 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, <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, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, 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') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1c68848>, None, 'cayley') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'normal') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'buckling') ... ok
>test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f366be75398>, None, 'cayley') ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 1, 'LM', array([ 0.41269636,  0.00960835,  0.35408631,  0.01148503,  0.50139314, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 1, 'LM', array([ 0.56676437,  0.19022742,  0.45528289,  0.71284735,  0.77866285, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 1, 'LM', array([ 0.14138307,  0.01164138,  0.71092969,  0.36212587,  0.34644246, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 1, 'LM', array([ 0.46962556,  0.56231337,  0.87562271,  0.00308084,  0.84794618, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 2, 'LM', array([ 0.98596376,  0.85196507,  0.79026061,  0.10343032,  0.70278829, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 2, 'LM', array([ 0.53233171,  0.3101198 ,  0.67918398,  0.70867385,  0.33128772, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 2, 'LM', array([ 0.70464522,  0.51724982,  0.67499   ,  0.81002331,  0.66976255, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 2, 'LM', array([ 0.42437501,  0.48749626,  0.72897401,  0.58120501,  0.29981558, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 3, 'LM', array([ 0.08962601,  0.81984955,  0.35813275,  0.22546215,  0.12842874, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 3, 'LM', array([ 0.24999289,  0.76675923,  0.12279806,  0.27926745,  0.59434502, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 3, 'LM', array([ 0.97633594,  0.59026343,  0.30687043,  0.51567054,  0.1712912 , ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 3, 'LM', array([ 0.06844307,  0.90287966,  0.30342479,  0.45676258,  0.00906532, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 4, 'LM', array([ 0.73214144,  0.62640047,  0.54344255,  0.80745506,  0.87415659, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 4, 'LM', array([ 0.16603075,  0.11532257,  0.67992713,  0.1599241 ,  0.0114733 , ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 4, 'LM', array([ 0.61669004,  0.34440598,  0.64905792,  0.36332896,  0.66675228, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 4, 'LM', array([ 0.26326538,  0.9545484 ,  0.05326332,  0.51488055,  0.50778964, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 5, 'LM', array([ 0.80487007,  0.60510474,  0.19692439,  0.63565904,  0.91801673, ... ok
>test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 5, 'LM', array([ 0.67410763,  0.48056736,  0.81938441,  0.69739442,  0.77492463, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 5, 'LM', array([ 0.32776815,  0.49633607,  0.41503069,  0.109256  ,  0.42711499, ... ok
>test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 5, 'LM', array([ 0.63241427,  0.07749855,  0.13707459,  0.1603934 ,  0.48464977, ... ok
>test_arpack.test_symmetric_no_convergence ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <function asarray at 0x7f366be75398>, None) ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>, 'i') ... ok
>test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>, 'r') ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1c68848>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function asarray at 0x7f366be75398>) ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.41269636+0.j,  0.00960835+0.j,  0.35408631+0.j,  0.01148503+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.56676437+0.j,  0.19022742+0.j,  0.45528289+0.j,  0.71284735+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.14138307+0.j,  0.01164138+0.j,  0.71092969+0.j,  0.36212587+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.46962556+0.j,  0.56231337+0.j,  0.87562271+0.j,  0.00308084+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.98596376+0.j,  0.85196507+0.j,  0.79026061+0.j,  0.10343032+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.53233171+0.j,  0.31011980+0.j,  0.67918398+0.j,  0.70867385+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.70464522+0.j,  0.51724982+0.j,  0.67499000+0.j,  0.81002331+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.42437501+0.j,  0.48749626+0.j,  0.72897401+0.j,  0.58120501+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.08962601+0.j,  0.81984955+0.j,  0.35813275+0.j,  0.22546215+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.24999289+0.j,  0.76675923+0.j,  0.12279806+0.j,  0.27926745+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.97633594+0.j,  0.59026343+0.j,  0.30687043+0.j,  0.51567054+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.06844307+0.j,  0.90287966+0.j,  0.30342479+0.j,  0.45676258+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.73214144+0.j,  0.62640047+0.j,  0.54344255+0.j,  0.80745506+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.16603075+0.j,  0.11532257+0.j,  0.67992713+0.j,  0.15992410+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.61669004+0.j,  0.34440598+0.j,  0.64905792+0.j,  0.36332896+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.26326538+0.j,  0.95454840+0.j,  0.05326332+0.j,  0.51488055+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.41269636+0.j,  0.00960835+0.j,  0.35408631+0.j,  0.01148503+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.56676437+0.j,  0.19022742+0.j,  0.45528289+0.j,  0.71284735+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.14138307+0.j,  0.01164138+0.j,  0.71092969+0.j,  0.36212587+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.46962556+0.j,  0.56231337+0.j,  0.87562271+0.j,  0.00308084+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.98596376+0.j,  0.85196507+0.j,  0.79026061+0.j,  0.10343032+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.53233171+0.j,  0.31011980+0.j,  0.67918398+0.j,  0.70867385+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.70464522+0.j,  0.51724982+0.j,  0.67499000+0.j,  0.81002331+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.42437501+0.j,  0.48749626+0.j,  0.72897401+0.j,  0.58120501+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.08962601+0.j,  0.81984955+0.j,  0.35813275+0.j,  0.22546215+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.24999289+0.j,  0.76675923+0.j,  0.12279806+0.j,  0.27926745+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.97633594+0.j,  0.59026343+0.j,  0.30687043+0.j,  0.51567054+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.06844307+0.j,  0.90287966+0.j,  0.30342479+0.j,  0.45676258+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.73214144+0.j,  0.62640047+0.j,  0.54344255+0.j,  0.80745506+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.16603075+0.j,  0.11532257+0.j,  0.67992713+0.j,  0.15992410+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.61669004+0.j,  0.34440598+0.j,  0.64905792+0.j,  0.36332896+0.j, ... ok
>test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.26326538+0.j,  0.95454840+0.j,  0.05326332+0.j,  0.51488055+0.j, ... ok
>test_arpack.test_standard_nonsymmetric_no_convergence ... ok
>test_arpack.test_eigen_bad_shapes ... ok
>test_arpack.test_eigen_bad_kwargs ... ok
>test_arpack.test_ticket_1459_arpack_crash ... ok
>test_arpack.test_svd_simple_real ... ok
>test_arpack.test_svd_simple_complex ... ok
>test_arpack.test_svd_maxiter ... ok
>test_arpack.test_svd_return ... ok
>test_arpack.test_svd_which ... ok
>test_arpack.test_svd_v0 ... ok
>test_lobpcg.test_Small ... ok
>test_lobpcg.test_ElasticRod ... ok
>test_lobpcg.test_MikotaPair ... ok
>test_lobpcg.test_trivial ... ok
>test_abi (test_iterative.TestGMRES) ... ok
>test_callback (test_iterative.TestGMRES) ... ok
>Check that QMR works with left and right preconditioners ... ok
>test_iterative.test_maxiter(<function cg at 0x1ce35f0>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function cgs at 0x1ce3758>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function bicg at 0x1ce3320>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function bicgstab at 0x1ce3488>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function gmres at 0x1ce3848>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function qmr at 0x1ce3938>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function minres at 0x1ce39b0>, <poisson1d>) ... ok
>test_iterative.test_maxiter(<function lgmres at 0x1ce3a28>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function cg at 0x1ce35f0>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function cg at 0x1ce35f0>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function cg at 0x1ce35f0>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function cgs at 0x1ce3758>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function bicg at 0x1ce3320>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function bicgstab at 0x1ce3488>, <nonsymposdef>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function gmres at 0x1ce3848>, <nonsymposdef>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function qmr at 0x1ce3938>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function minres at 0x1ce39b0>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function minres at 0x1ce39b0>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function minres at 0x1ce39b0>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function minres at 0x1ce39b0>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function minres at 0x1ce39b0>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <poisson1d>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <neg-poisson1d>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-diag>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-sym>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-sym-pd>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-cmplx>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-cmplx-herm>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <rand-cmplx-sym-pd>) ... ok
>test_iterative.test_convergence(<function lgmres at 0x1ce3a28>, <nonsymposdef>) ... ok
>test_iterative.test_precond_dummy(<function cg at 0x1ce35f0>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function cgs at 0x1ce3758>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function bicg at 0x1ce3320>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function bicgstab at 0x1ce3488>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function gmres at 0x1ce3848>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function qmr at 0x1ce3938>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function minres at 0x1ce39b0>, <poisson1d>) ... ok
>test_iterative.test_precond_dummy(<function lgmres at 0x1ce3a28>, <poisson1d>) ... ok
>test_iterative.test_gmres_basic ... ok
>test_iterative.test_reentrancy(<function lgmres at 0x1ce3a28>, True) ... ok
>test_iterative.test_reentrancy(<function minres at 0x1ce39b0>, True) ... ok
>test_iterative.test_reentrancy(<function cg at 0x1ce35f0>, False) ... ok
>test_iterative.test_reentrancy(<function cgs at 0x1ce3758>, False) ... ok
>test_iterative.test_reentrancy(<function bicg at 0x1ce3320>, False) ... ok
>test_iterative.test_reentrancy(<function bicgstab at 0x1ce3488>, False) ... ok
>test_iterative.test_reentrancy(<function gmres at 0x1ce3848>, False) ... ok
>test_iterative.test_reentrancy(<function qmr at 0x1ce3938>, False) ... ok
>test_outer_v (test_lgmres.TestLGMRES) ... ok
>test_preconditioner (test_lgmres.TestLGMRES) ... ok
>test_lsmr.TestLSMR.testBidiagonalA ... ok
>test_lsmr.TestLSMR.testIdentityACase1 ... ok
>test_lsmr.TestLSMR.testIdentityACase2 ... ok
>test_lsmr.TestLSMR.testIdentityACase3 ... ok
>test_lsmr.TestLSMRReturns.testNormar ... ok
>test_lsmr.TestLSMRReturns.testNormr ... ok
>test_lsmr.TestLSMRReturns.testNormx ... ok
>test_lsqr.test_basic ... ok
>test_utils.test_make_system_bad_shape ... ok
>test_basic (test_interface.TestAsLinearOperator) ... ok
>test_matvec (test_interface.TestLinearOperator) ... ok
>test_logm_consistency (test_matfuncs.TestExpM) ... ok
>test_padecases_dtype (test_matfuncs.TestExpM) ... ok
>test_padecases_dtype_sparse (test_matfuncs.TestExpM) ... ok
>test_zero (test_matfuncs.TestExpM) ... ok
>test_zero_sparse (test_matfuncs.TestExpM) ... ok
>test_abs (test_base.TestBSR) ... ok
>test_add (test_base.TestBSR) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_add_sub (test_base.TestBSR) ... ok
>test_asfptype (test_base.TestBSR) ... ok
>test_astype (test_base.TestBSR) ... ok
>test_bsr_matvec (test_base.TestBSR) ... ok
>test_bsr_matvecs (test_base.TestBSR) ... ok
>check native BSR format constructor ... ok
>construct from dense ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestBSR) ... ok
>test_elementwise_multiply (test_base.TestBSR) ... ok
>test_eliminate_zeros (test_base.TestBSR) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestBSR) ... ok
>test_from_array (test_base.TestBSR) ... ok
>test_from_list (test_base.TestBSR) ... ok
>test_from_matrix (test_base.TestBSR) ... ok
>test_from_sparse (test_base.TestBSR) ... ok
>test_getcol (test_base.TestBSR) ... ok
>test_getrow (test_base.TestBSR) ... ok
>test_idiv_scalar (test_base.TestBSR) ... ok
>test_imag (test_base.TestBSR) ... ok
>test_imul_scalar (test_base.TestBSR) ... ok
>test_inv (test_base.TestBSR) ... ok
>test_invalid_shapes (test_base.TestBSR) ... ok
>test_matmat_dense (test_base.TestBSR) ... ok
>test_matmat_sparse (test_base.TestBSR) ... ok
>test_matvec (test_base.TestBSR) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mu (test_base.TestBSR) ... ok
>test_mul_scalar (test_base.TestBSR) ... ok
>test_neg (test_base.TestBSR) ... ok
>test_nonzero (test_base.TestBSR) ... ok
>test_pow (test_base.TestBSR) ... ok
>test_radd (test_base.TestBSR) ... ok
>test_real (test_base.TestBSR) ... ok
>test_repr (test_base.TestBSR) ... ok
>test_rmatvec (test_base.TestBSR) ... ok
>test_rmul_scalar (test_base.TestBSR) ... ok
>test_rsub (test_base.TestBSR) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>test_sparse_format_conversions (test_base.TestBSR) ... ok
>test_str (test_base.TestBSR) ... ok
>test_sub (test_base.TestBSR) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestBSR) ... ok
>test_tobsr (test_base.TestBSR) ... ok
>test_todense (test_base.TestBSR) ... ok
>test_transpose (test_base.TestBSR) ... ok
>test_abs (test_base.TestCOO) ... ok
>test_add (test_base.TestCOO) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_asfptype (test_base.TestCOO) ... ok
>test_astype (test_base.TestCOO) ... ok
>unsorted triplet format ... ok
>unsorted triplet format with duplicates (which are summed) ... ok
>empty matrix ... ok
>from dense matrix ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestCOO) ... ok
>test_elementwise_multiply (test_base.TestCOO) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestCOO) ... ok
>test_from_array (test_base.TestCOO) ... ok
>test_from_list (test_base.TestCOO) ... ok
>test_from_matrix (test_base.TestCOO) ... ok
>test_from_sparse (test_base.TestCOO) ... ok
>test_getcol (test_base.TestCOO) ... ok
>test_getrow (test_base.TestCOO) ... ok
>test_imag (test_base.TestCOO) ... ok
>test_inv (test_base.TestCOO) ... ok
>test_invalid_shapes (test_base.TestCOO) ... ok
>test_matmat_dense (test_base.TestCOO) ... ok
>test_matmat_sparse (test_base.TestCOO) ... ok
>test_matvec (test_base.TestCOO) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mul_scalar (test_base.TestCOO) ... ok
>test_neg (test_base.TestCOO) ... ok
>test_nonzero (test_base.TestCOO) ... ok
>test_pow (test_base.TestCOO) ... ok
>test_radd (test_base.TestCOO) ... ok
>test_real (test_base.TestCOO) ... ok
>test_repr (test_base.TestCOO) ... ok
>test_rmatvec (test_base.TestCOO) ... ok
>test_rmul_scalar (test_base.TestCOO) ... ok
>test_rsub (test_base.TestCOO) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>test_sparse_format_conversions (test_base.TestCOO) ... ok
>test_str (test_base.TestCOO) ... ok
>test_sub (test_base.TestCOO) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestCOO) ... ok
>test_tobsr (test_base.TestCOO) ... ok
>test_todense (test_base.TestCOO) ... ok
>test_transpose (test_base.TestCOO) ... ok
>test_abs (test_base.TestCSC) ... ok
>test_add (test_base.TestCSC) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_add_sub (test_base.TestCSC) ... ok
>test_asfptype (test_base.TestCSC) ... ok
>test_astype (test_base.TestCSC) ... ok
>test_constructor1 (test_base.TestCSC) ... ok
>test_constructor2 (test_base.TestCSC) ... ok
>test_constructor3 (test_base.TestCSC) ... ok
>using (data, ij) format ... ok
>infer dimensions from arrays ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestCSC) ... ok
>test_elementwise_multiply (test_base.TestCSC) ... ok
>test_eliminate_zeros (test_base.TestCSC) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestCSC) ... ok
>test_fancy_indexing (test_base.TestCSC) ... ok
>test_fancy_indexing_randomized (test_base.TestCSC) ... ok
>test_fancy_indexing_set (test_base.TestCSC) ... KNOWNFAIL: Fancy indexing is known to be broken for CSC matrices
>test_from_array (test_base.TestCSC) ... ok
>test_from_list (test_base.TestCSC) ... ok
>test_from_matrix (test_base.TestCSC) ... ok
>test_from_sparse (test_base.TestCSC) ... ok
>Test for new slice functionality (EJS) ... ok
>test_get_slices (test_base.TestCSC) ... ok
>Test for new slice functionality (EJS) ... ok
>test_getcol (test_base.TestCSC) ... ok
>test_getelement (test_base.TestCSC) ... ok
>test_getrow (test_base.TestCSC) ... ok
>test_idiv_scalar (test_base.TestCSC) ... ok
>test_imag (test_base.TestCSC) ... ok
>test_imul_scalar (test_base.TestCSC) ... ok
>test_inv (test_base.TestCSC) ... ok
>test_invalid_shapes (test_base.TestCSC) ... ok
>test_matmat_dense (test_base.TestCSC) ... ok
>test_matmat_sparse (test_base.TestCSC) ... ok
>test_matvec (test_base.TestCSC) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mu (test_base.TestCSC) ... ok
>test_mul_scalar (test_base.TestCSC) ... ok
>test_neg (test_base.TestCSC) ... ok
>test_non_unit_stride_2d_indexing_raises_exception (test_base.TestCSC) ... ok
>test_nonzero (test_base.TestCSC) ... ok
>test_pow (test_base.TestCSC) ... ok
>test_radd (test_base.TestCSC) ... ok
>test_real (test_base.TestCSC) ... ok
>test_repr (test_base.TestCSC) ... ok
>test_rmatvec (test_base.TestCSC) ... ok
>test_rmul_scalar (test_base.TestCSC) ... ok
>test_rsub (test_base.TestCSC) ... ok
>test_setelement (test_base.TestCSC) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>Test whether the lu_solve command segfaults, as reported by Nils ... ok
>test_sort_indices (test_base.TestCSC) ... ok
>test_sparse_format_conversions (test_base.TestCSC) ... ok
>test_str (test_base.TestCSC) ... ok
>test_sub (test_base.TestCSC) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestCSC) ... ok
>test_tobsr (test_base.TestCSC) ... ok
>test_todense (test_base.TestCSC) ... ok
>test_transpose (test_base.TestCSC) ... ok
>test_ufuncs (test_base.TestCSC) ... ok
>test_unsorted_arithmetic (test_base.TestCSC) ... ok
>test_abs (test_base.TestCSR) ... ok
>test_add (test_base.TestCSR) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_add_sub (test_base.TestCSR) ... ok
>test_asfptype (test_base.TestCSR) ... ok
>test_astype (test_base.TestCSR) ... ok
>test_constructor1 (test_base.TestCSR) ... ok
>test_constructor2 (test_base.TestCSR) ... ok
>test_constructor3 (test_base.TestCSR) ... ok
>using (data, ij) format ... ok
>infer dimensions from arrays ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestCSR) ... ok
>test_elementwise_multiply (test_base.TestCSR) ... ok
>test_eliminate_zeros (test_base.TestCSR) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestCSR) ... ok
>test_fancy_indexing (test_base.TestCSR) ... ok
>test_fancy_indexing_randomized (test_base.TestCSR) ... ok
>test_fancy_indexing_set (test_base.TestCSR) ... KNOWNFAIL: Fancy indexing is known to be broken for CSR matrices
>test_from_array (test_base.TestCSR) ... ok
>test_from_list (test_base.TestCSR) ... ok
>test_from_matrix (test_base.TestCSR) ... ok
>test_from_sparse (test_base.TestCSR) ... ok
>Test for new slice functionality (EJS) ... ok
>test_get_slices (test_base.TestCSR) ... ok
>Test for new slice functionality (EJS) ... ok
>test_getcol (test_base.TestCSR) ... ok
>test_getelement (test_base.TestCSR) ... ok
>test_getrow (test_base.TestCSR) ... ok
>test_idiv_scalar (test_base.TestCSR) ... ok
>test_imag (test_base.TestCSR) ... ok
>test_imul_scalar (test_base.TestCSR) ... ok
>test_inv (test_base.TestCSR) ... ok
>test_invalid_shapes (test_base.TestCSR) ... ok
>test_matmat_dense (test_base.TestCSR) ... ok
>test_matmat_sparse (test_base.TestCSR) ... ok
>test_matvec (test_base.TestCSR) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mu (test_base.TestCSR) ... ok
>test_mul_scalar (test_base.TestCSR) ... ok
>test_neg (test_base.TestCSR) ... ok
>test_non_unit_stride_2d_indexing_raises_exception (test_base.TestCSR) ... ok
>test_nonzero (test_base.TestCSR) ... ok
>test_pow (test_base.TestCSR) ... ok
>test_radd (test_base.TestCSR) ... ok
>test_real (test_base.TestCSR) ... ok
>test_repr (test_base.TestCSR) ... ok
>test_rmatvec (test_base.TestCSR) ... ok
>test_rmul_scalar (test_base.TestCSR) ... ok
>test_rsub (test_base.TestCSR) ... ok
>test_setelement (test_base.TestCSR) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>Test whether the lu_solve command segfaults, as reported by Nils ... ok
>test_sort_indices (test_base.TestCSR) ... ok
>test_sparse_format_conversions (test_base.TestCSR) ... ok
>test_str (test_base.TestCSR) ... ok
>test_sub (test_base.TestCSR) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestCSR) ... ok
>test_tobsr (test_base.TestCSR) ... ok
>test_todense (test_base.TestCSR) ... ok
>test_transpose (test_base.TestCSR) ... ok
>test_ufuncs (test_base.TestCSR) ... ok
>test_unsorted_arithmetic (test_base.TestCSR) ... ok
>test_abs (test_base.TestDIA) ... ok
>test_add (test_base.TestDIA) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_add_sub (test_base.TestDIA) ... ok
>test_asfptype (test_base.TestDIA) ... ok
>test_astype (test_base.TestDIA) ... ok
>test_constructor1 (test_base.TestDIA) ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestDIA) ... ok
>test_elementwise_multiply (test_base.TestDIA) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestDIA) ... ok
>test_from_array (test_base.TestDIA) ... ok
>test_from_list (test_base.TestDIA) ... ok
>test_from_matrix (test_base.TestDIA) ... ok
>test_from_sparse (test_base.TestDIA) ... ok
>test_getcol (test_base.TestDIA) ... ok
>test_getrow (test_base.TestDIA) ... ok
>test_imag (test_base.TestDIA) ... ok
>test_inv (test_base.TestDIA) ... ok
>test_invalid_shapes (test_base.TestDIA) ... ok
>test_matmat_dense (test_base.TestDIA) ... ok
>test_matmat_sparse (test_base.TestDIA) ... ok
>test_matvec (test_base.TestDIA) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mu (test_base.TestDIA) ... ok
>test_mul_scalar (test_base.TestDIA) ... ok
>test_neg (test_base.TestDIA) ... ok
>test_nonzero (test_base.TestDIA) ... ok
>test_pow (test_base.TestDIA) ... ok
>test_radd (test_base.TestDIA) ... ok
>test_real (test_base.TestDIA) ... ok
>test_repr (test_base.TestDIA) ... ok
>test_rmatvec (test_base.TestDIA) ... ok
>test_rmul_scalar (test_base.TestDIA) ... ok
>test_rsub (test_base.TestDIA) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>test_sparse_format_conversions (test_base.TestDIA) ... ok
>test_str (test_base.TestDIA) ... ok
>test_sub (test_base.TestDIA) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestDIA) ... ok
>test_tobsr (test_base.TestDIA) ... ok
>test_todense (test_base.TestDIA) ... ok
>test_transpose (test_base.TestDIA) ... ok
>test_abs (test_base.TestDOK) ... ok
>test_add (test_base.TestDOK) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_asfptype (test_base.TestDOK) ... ok
>test_astype (test_base.TestDOK) ... ok
>Test provided by Andrew Straw.  Fails in SciPy <= r1477. ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>test_ctor (test_base.TestDOK) ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_elementwise_divide (test_base.TestDOK) ... ok
>test_elementwise_multiply (test_base.TestDOK) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestDOK) ... ok
>test_from_array (test_base.TestDOK) ... ok
>test_from_list (test_base.TestDOK) ... ok
>test_from_matrix (test_base.TestDOK) ... ok
>test_from_sparse (test_base.TestDOK) ... ok
>test_getcol (test_base.TestDOK) ... ok
>test_getelement (test_base.TestDOK) ... ok
>test_getrow (test_base.TestDOK) ... ok
>test_imag (test_base.TestDOK) ... ok
>test_inv (test_base.TestDOK) ... ok
>test_invalid_shapes (test_base.TestDOK) ... ok
>test_matmat_dense (test_base.TestDOK) ... ok
>test_matmat_sparse (test_base.TestDOK) ... ok
>test_matvec (test_base.TestDOK) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mul_scalar (test_base.TestDOK) ... ok
>test_mult (test_base.TestDOK) ... ok
>test_neg (test_base.TestDOK) ... ok
>test_nonzero (test_base.TestDOK) ... ok
>test_pow (test_base.TestDOK) ... ok
>test_radd (test_base.TestDOK) ... ok
>test_real (test_base.TestDOK) ... ok
>test_repr (test_base.TestDOK) ... ok
>A couple basic tests of the resize() method. ... ok
>test_rmatvec (test_base.TestDOK) ... ok
>test_rmul_scalar (test_base.TestDOK) ... ok
>test_rsub (test_base.TestDOK) ... ok
>Test for slice functionality (EJS) ... ok
>test_setelement (test_base.TestDOK) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>Test whether the lu_solve command segfaults, as reported by Nils ... ok
>test_sparse_format_conversions (test_base.TestDOK) ... ok
>test_str (test_base.TestDOK) ... ok
>test_sub (test_base.TestDOK) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>Regression test for ticket #1160. ... ok
>test_toarray (test_base.TestDOK) ... ok
>test_tobsr (test_base.TestDOK) ... ok
>test_todense (test_base.TestDOK) ... ok
>test_transpose (test_base.TestDOK) ... ok
>test_abs (test_base.TestLIL) ... ok
>test_add (test_base.TestLIL) ... ok
>Adding 0 to a sparse matrix ... ok
>adding a dense matrix to a sparse matrix ... ok
>test_add_sub (test_base.TestLIL) ... ok
>test_asfptype (test_base.TestLIL) ... ok
>test_astype (test_base.TestLIL) ... ok
>Check whether the copy=True and copy=False keywords work ... ok
>Does the matrix's .diagonal() method work? ... ok
>test_dot (test_base.TestLIL) ... ok
>test_elementwise_divide (test_base.TestLIL) ... ok
>test_elementwise_multiply (test_base.TestLIL) ... ok
>create empty matrices ... ok
>Test manipulating empty matrices. Fails in SciPy SVN <= r1768 ... ok
>test_expm (test_base.TestLIL) ... ok
>test_fancy_indexing (test_base.TestLIL) ... ok
>test_fancy_indexing_randomized (test_base.TestLIL) ... KNOWNFAIL: Fancy indexing is known to be broken for LIL matrices
>test_fancy_indexing_set (test_base.TestLIL) ... KNOWNFAIL: Fancy indexing is known to be broken for LIL matrices
>test_from_array (test_base.TestLIL) ... ok
>test_from_list (test_base.TestLIL) ... ok
>test_from_matrix (test_base.TestLIL) ... ok
>test_from_sparse (test_base.TestLIL) ... ok
>Test for new slice functionality (EJS) ... ok
>test_get_slices (test_base.TestLIL) ... ok
>Test for new slice functionality (EJS) ... ok
>test_getcol (test_base.TestLIL) ... ok
>test_getelement (test_base.TestLIL) ... ok
>test_getrow (test_base.TestLIL) ... ok
>test_idiv_scalar (test_base.TestLIL) ... ok
>test_imag (test_base.TestLIL) ... ok
>test_imul_scalar (test_base.TestLIL) ... ok
>test_inplace_ops (test_base.TestLIL) ... ok
>test_inv (test_base.TestLIL) ... ok
>test_invalid_shapes (test_base.TestLIL) ... ok
>Tests whether a lil_matrix can be constructed from a ... ok
>test_lil_iteration (test_base.TestLIL) ... ok
>Tests whether a row of one lil_matrix can be assigned to ... ok
>Ticket #1427. ... ok
>test_lil_sequence_assignment (test_base.TestLIL) ... ok
>test_lil_slice_assignment (test_base.TestLIL) ... ok
>test_matmat_dense (test_base.TestLIL) ... ok
>test_matmat_sparse (test_base.TestLIL) ... ok
>test_matvec (test_base.TestLIL) ... ok
>Does the matrix's .mean(axis=...) method work? ... ok
>test_mu (test_base.TestLIL) ... ok
>test_mul_scalar (test_base.TestLIL) ... ok
>test_neg (test_base.TestLIL) ... ok
>test_nonzero (test_base.TestLIL) ... ok
>test_point_wise_multiply (test_base.TestLIL) ... ok
>test_pow (test_base.TestLIL) ... ok
>test_radd (test_base.TestLIL) ... ok
>test_real (test_base.TestLIL) ... ok
>test_repr (test_base.TestLIL) ... ok
>test_reshape (test_base.TestLIL) ... ok
>test_rmatvec (test_base.TestLIL) ... ok
>test_rmul_scalar (test_base.TestLIL) ... ok
>test_rsub (test_base.TestLIL) ... ok
>test_scalar_mul (test_base.TestLIL) ... ok
>test_setelement (test_base.TestLIL) ... ok
>test that A*x works for x with shape () (1,) and (1,1) ... ok
>Test whether the lu_solve command segfaults, as reported by Nils ... ok
>test_sparse_format_conversions (test_base.TestLIL) ... ok
>test_str (test_base.TestLIL) ... ok
>test_sub (test_base.TestLIL) ... ok
>subtracting a dense matrix to/from a sparse matrix ... ok
>Does the matrix's .sum(axis=...) method work? ... ok
>test_toarray (test_base.TestLIL) ... ok
>test_tobsr (test_base.TestLIL) ... ok
>test_todense (test_base.TestLIL) ... ok
>test_transpose (test_base.TestLIL) ... ok
>block_diag with one matrix ... ok
>basic test for block_diag ... ok
>block_diag with scalar and 1d arguments ... ok
>test_bmat (test_construct.TestConstructUtils) ... ok
>test_diags (test_construct.TestConstructUtils) ... ok
>test_diags_bad (test_construct.TestConstructUtils) ... ok
>test_diags_dtype (test_construct.TestConstructUtils) ... ok
>test_diags_one_diagonal (test_construct.TestConstructUtils) ... ok
>test_diags_vs_diag (test_construct.TestConstructUtils) ... ok
>test_eye (test_construct.TestConstructUtils) ... ok
>test_eye_one (test_construct.TestConstructUtils) ... ok
>test_hstack (test_construct.TestConstructUtils) ... ok
>test_identity (test_construct.TestConstructUtils) ... ok
>test_kron (test_construct.TestConstructUtils) ... ok
>test_kronsum (test_construct.TestConstructUtils) ... ok
>test_rand (test_construct.TestConstructUtils) ... ok
>test_spdiags (test_construct.TestConstructUtils) ... ok
>test_vstack (test_construct.TestConstructUtils) ... ok
>test_csc.test_csc_getrow ... ok
>test_csc.test_csc_getcol ... ok
>test_csr.test_csr_rowslice(0, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(0, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(0, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(0, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(1, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(1, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(1, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(1, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(2, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(2, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(2, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(2, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(3, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(3, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(3, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(3, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(4, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(4, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(4, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(4, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(5, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(5, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(5, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(5, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(6, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(6, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(6, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(6, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(7, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(7, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(7, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(7, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(8, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(8, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(8, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(8, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(9, slice(None, None, None), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(9, slice(None, None, -1), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(9, slice(1, -2, 2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_rowslice(9, slice(-2, 1, -2), array([[ 0.549,  0.   ,  0.603,  0.545,  0.424,  0.646,  0.438,  0.   ,  0.   ,  0.383], ... ok
>test_csr.test_csr_getrow ... ok
>test_csr.test_csr_getcol ... ok
>test_tril (test_extract.TestExtract) ... ok
>test_triu (test_extract.TestExtract) ... ok
>test_count_blocks (test_spfuncs.TestSparseFunctions) ... ok
>test_estimate_blocksize (test_spfuncs.TestSparseFunctions) ... ok
>test_scale_rows_and_cols (test_spfuncs.TestSparseFunctions) ... ok
>test_getdtype (test_sputils.TestSparseUtils) ... ok
>test_isdense (test_sputils.TestSparseUtils) ... ok
>test_isintlike (test_sputils.TestSparseUtils) ... ok
>test_isscalarlike (test_sputils.TestSparseUtils) ... ok
>test_issequence (test_sputils.TestSparseUtils) ... ok
>test_isshape (test_sputils.TestSparseUtils) ... ok
>test_upcast (test_sputils.TestSparseUtils) ... ok
>test__plotutils.TestPlotting.test_convex_hull ... SKIP: Skipping test: test_convex_hull
>Matplotlib not available
>test__plotutils.TestPlotting.test_delaunay ... SKIP: Skipping test: test_delaunay
>Matplotlib not available
>test__plotutils.TestPlotting.test_voronoi ... SKIP: Skipping test: test_voronoi
>Matplotlib not available
>Tests cdist(X, 'braycurtis') on random data. ... ok
>Tests cdist(X, 'canberra') on random data. ... ok
>Tests cdist(X, 'chebychev') on random data. ... ok
>Tests cdist(X, 'cityblock') on random data. ... ok
>Tests cdist(X, 'correlation') on random data. ... ok
>Tests cdist(X, 'cosine') on random data. ... ok
>Tests cdist(X, 'dice') on random data. ... ok
>Tests cdist(X, 'euclidean') on random data. ... ok
>Tests cdist(X, u'euclidean') using unicode metric string ... ok
>Tests cdist(X, 'hamming') on random boolean data. ... ok
>Tests cdist(X, 'hamming') on random data. ... ok
>Tests cdist(X, 'jaccard') on random boolean data. ... ok
>Tests cdist(X, 'jaccard') on random data. ... ok
>Tests cdist(X, 'kulsinski') on random data. ... ok
>Tests cdist(X, 'mahalanobis') on random data. ... ok
>Tests cdist(X, 'matching') on random data. ... ok
>Tests cdist(X, 'minkowski') on random data. (p=1.23) ... ok
>Tests cdist(X, 'minkowski') on random data. (p=3.8) ... ok
>Tests cdist(X, 'minkowski') on random data. (p=4.6) ... ok
>Tests cdist(X, 'rogerstanimoto') on random data. ... ok
>Tests cdist(X, 'russellrao') on random data. ... ok
>Tests cdist(X, 'seuclidean') on random data. ... ok
>Tests cdist(X, 'sokalmichener') on random data. ... ok
>Tests cdist(X, 'sokalsneath') on random data. ... ok
>Tests cdist(X, 'sqeuclidean') on random data. ... ok
>Tests cdist(X, 'wminkowski') on random data. (p=1.23) ... ok
>Tests cdist(X, 'wminkowski') on random data. (p=3.8) ... ok
>Tests cdist(X, 'wminkowski') on random data. (p=4.6) ... ok
>Tests cdist(X, 'yule') on random data. ... ok
>Tests is_valid_dm(*) on an assymetric distance matrix. Exception expected. ... ok
>Tests is_valid_dm(*) on an assymetric distance matrix. False expected. ... ok
>Tests is_valid_dm(*) on a correct 1x1. True expected. ... ok
>Tests is_valid_dm(*) on a correct 2x2. True expected. ... ok
>Tests is_valid_dm(*) on a correct 3x3. True expected. ... ok
>Tests is_valid_dm(*) on a correct 4x4. True expected. ... ok
>Tests is_valid_dm(*) on a correct 5x5. True expected. ... ok
>Tests is_valid_dm(*) on a 1D array. Exception expected. ... ok
>Tests is_valid_dm(*) on a 1D array. False expected. ... ok
>Tests is_valid_dm(*) on a 3D array. Exception expected. ... ok
>Tests is_valid_dm(*) on a 3D array. False expected. ... ok
>Tests is_valid_dm(*) on an int16 array. Exception expected. ... ok
>Tests is_valid_dm(*) on an int16 array. False expected. ... ok
>Tests is_valid_dm(*) on a distance matrix with a nonzero diagonal. Exception expected. ... ok
>Tests is_valid_dm(*) on a distance matrix with a nonzero diagonal. False expected. ... ok
>Tests is_valid_y(*) on 100 improper condensed distance matrices. Expecting exception. ... ok
>Tests is_valid_y(*) on a correct 2x2 condensed. True expected. ... ok
>Tests is_valid_y(*) on a correct 3x3 condensed. True expected. ... ok
>Tests is_valid_y(*) on a correct 4x4 condensed. True expected. ... ok
>Tests is_valid_y(*) on a correct 5x5 condensed. True expected. ... ok
>Tests is_valid_y(*) on a 2D array. Exception expected. ... ok
>Tests is_valid_y(*) on a 2D array. False expected. ... ok
>Tests is_valid_y(*) on a 3D array. Exception expected. ... ok
>Tests is_valid_y(*) on a 3D array. False expected. ... ok
>Tests is_valid_y(*) on an int16 array. Exception expected. ... ok
>Tests is_valid_y(*) on an int16 array. False expected. ... ok
>Tests num_obs_dm(D) on a 0x0 distance matrix. Expecting exception. ... ok
>Tests num_obs_dm(D) on a 1x1 distance matrix. ... ok
>Tests num_obs_dm(D) on a 2x2 distance matrix. ... ok
>Tests num_obs_dm(D) on a 3x3 distance matrix. ... ok
>Tests num_obs_dm(D) on a 4x4 distance matrix. ... ok
>Tests num_obs_dm with observation matrices of multiple sizes. ... ok
>Tests num_obs_y(y) on a condensed distance matrix over 1 observations. Expecting exception. ... ok
>Tests num_obs_y(y) on a condensed distance matrix over 2 observations. ... ok
>Tests num_obs_y(y) on 100 improper condensed distance matrices. Expecting exception. ... ok
>Tests num_obs_y(y) on a condensed distance matrix over 3 observations. ... ok
>Tests num_obs_y(y) on a condensed distance matrix over 4 observations. ... ok
>Tests num_obs_y(y) on a condensed distance matrix between 5 and 15 observations. ... ok
>Tests num_obs_y with observation matrices of multiple sizes. ... ok
>Tests pdist(X, 'canberra') to see if the two implementations match on the Iris data set. ... ok
>Tests pdist(X, 'canberra') to see if Canberra gives the right result as reported in Scipy bug report 711. ... ok
>Tests pdist(X, 'chebychev') on the Iris data set. ... ok
>Tests pdist(X, 'chebychev') on the Iris data set. (float32) ... ok
>Tests pdist(X, 'test_chebychev') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'chebychev') on random data. ... ok
>Tests pdist(X, 'chebychev') on random data. (float32) ... ok
>Tests pdist(X, 'test_chebychev') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'cityblock') on the Iris data set. ... ok
>Tests pdist(X, 'cityblock') on the Iris data set. (float32) ... ok
>Tests pdist(X, 'test_cityblock') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'cityblock') on random data. ... ok
>Tests pdist(X, 'cityblock') on random data. (float32) ... ok
>Tests pdist(X, 'test_cityblock') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'correlation') on the Iris data set. ... ok
>Tests pdist(X, 'correlation') on the Iris data set. (float32) ... ok
>Tests pdist(X, 'test_correlation') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'correlation') on random data. ... ok
>Tests pdist(X, 'correlation') on random data. (float32) ... ok
>Tests pdist(X, 'test_correlation') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'cosine') on the Iris data set. ... ok
>Tests pdist(X, 'cosine') on the Iris data set. ... ok
>Tests pdist(X, 'test_cosine') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'cosine') on random data. ... ok
>Tests pdist(X, 'cosine') on random data. (float32) ... ok
>Tests pdist(X, 'test_cosine') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'hamming') on random data. ... ok
>Tests pdist(X, 'hamming') on random data. (float32) ... ok
>Tests pdist(X, 'test_hamming') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'dice') to see if the two implementations match on random double input data. ... ok
>Tests dice(*,*) with mtica example #1. ... ok
>Tests dice(*,*) with mtica example #2. ... ok
>Tests pdist(X, 'jaccard') on random data. ... ok
>Tests pdist(X, 'jaccard') on random data. (float32) ... ok
>Tests pdist(X, 'test_jaccard') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'euclidean') on the Iris data set. ... ok
>Tests pdist(X, 'euclidean') on the Iris data set. (float32) ... ok
>Tests pdist(X, 'test_euclidean') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'euclidean') on random data. ... ok
>Tests pdist(X, 'euclidean') on random data (float32). ... ok
>Tests pdist(X, 'test_euclidean') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'euclidean') with unicode metric string ... ok
>Tests pdist(X, 'hamming') on random data. ... ok
>Tests pdist(X, 'hamming') on random data. ... ok
>Tests pdist(X, 'test_hamming') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'jaccard') to see if the two implementations match on random double input data. ... ok
>Tests jaccard(*,*) with mtica example #1. ... ok
>Tests jaccard(*,*) with mtica example #2. ... ok
>Tests pdist(X, 'jaccard') on random data. ... ok
>Tests pdist(X, 'jaccard') on random data. (float32) ... ok
>Tests pdist(X, 'test_jaccard') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'kulsinski') to see if the two implementations match on random double input data. ... ok
>Tests pdist(X, 'matching') to see if the two implementations match on random boolean input data. ... ok
>Tests matching(*,*) with mtica example #1 (nums). ... ok
>Tests matching(*,*) with mtica example #2. ... ok
>Tests pdist(X, 'minkowski') on iris data. ... ok
>Tests pdist(X, 'minkowski') on iris data. (float32) ... ok
>Tests pdist(X, 'test_minkowski') [the non-C implementation] on iris data. ... ok
>Tests pdist(X, 'minkowski') on iris data. ... ok
>Tests pdist(X, 'minkowski') on iris data. (float32) ... ok
>Tests pdist(X, 'test_minkowski') [the non-C implementation] on iris data. ... ok
>Tests pdist(X, 'minkowski') on random data. ... ok
>Tests pdist(X, 'minkowski') on random data. (float32) ... ok
>Tests pdist(X, 'test_minkowski') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'rogerstanimoto') to see if the two implementations match on random double input data. ... ok
>Tests rogerstanimoto(*,*) with mtica example #1. ... ok
>Tests rogerstanimoto(*,*) with mtica example #2. ... ok
>Tests pdist(X, 'russellrao') to see if the two implementations match on random double input data. ... ok
>Tests russellrao(*,*) with mtica example #1. ... ok
>Tests russellrao(*,*) with mtica example #2. ... ok
>Tests pdist(X, 'seuclidean') on the Iris data set. ... ok
>Tests pdist(X, 'seuclidean') on the Iris data set (float32). ... ok
>Tests pdist(X, 'test_seuclidean') [the non-C implementation] on the Iris data set. ... ok
>Tests pdist(X, 'seuclidean') on random data. ... ok
>Tests pdist(X, 'seuclidean') on random data (float32). ... ok
>Tests pdist(X, 'test_sqeuclidean') [the non-C implementation] on random data. ... ok
>Tests pdist(X, 'sokalmichener') to see if the two implementations match on random double input data. ... ok
>Tests pdist(X, 'sokalsneath') to see if the two implementations match on random double input data. ... ok
>Tests sokalsneath(*,*) with mtica example #1. ... ok
>Tests sokalsneath(*,*) with mtica example #2. ... ok
>test_pdist_wminkowski (test_distance.TestPdist) ... ok
>Tests pdist(X, 'yule') to see if the two implementations match on random double input data. ... ok
>Tests yule(*,*) with mtica example #1. ... ok
>Tests yule(*,*) with mtica example #2. ... ok
>test_correlation (test_distance.TestSomeDistanceFunctions) ... ok
>test_cosine (test_distance.TestSomeDistanceFunctions) ... ok
>test_euclidean (test_distance.TestSomeDistanceFunctions) ... ok
>test_mahalanobis (test_distance.TestSomeDistanceFunctions) ... ok
>test_minkowski (test_distance.TestSomeDistanceFunctions) ... ok
>test_sqeuclidean (test_distance.TestSomeDistanceFunctions) ... ok
>test_wminkowski (test_distance.TestSomeDistanceFunctions) ... ok
>Tests squareform on a 1x1 matrix. ... ok
>Tests squareform on a 2x2 matrix. ... ok
>Tests squareform on an empty matrix. ... ok
>Tests squareform on an empty vector. ... ok
>Tests squareform on a square matrices of multiple sizes. ... ok
>Tests squareform on a 1x1 binary matrix; conversion to double was ... ok
>Tests squareform on a 1-D array, length=1. ... ok
>Loading test data files for the scipy.spatial.distance tests. ... ok
>Raise ValueError if p < 1. ... ok
>Regression test for ticket #876 ... ok
>Regression test for ticket #1430. ... ok
>Regression test for ticket #1430. ... ok
>Regression test for ticket #1328. ... ok
>Test that sokalmichener has the same result for bool and int inputs. ... ok
>Assorted tests for _validate_vector. ... ok
>test_kdtree.test_count_neighbors.test_large_radius ... ok
>test_kdtree.test_count_neighbors.test_multiple_radius ... ok
>test_kdtree.test_count_neighbors.test_one_radius ... ok
>test_kdtree.test_count_neighbors_compiled.test_large_radius ... ok
>test_kdtree.test_count_neighbors_compiled.test_multiple_radius ... ok
>test_kdtree.test_count_neighbors_compiled.test_one_radius ... ok
>test_kdtree.test_random.test_approx ... ok
>test_kdtree.test_random.test_m_nearest ... ok
>test_kdtree.test_random.test_nearest ... ok
>test_kdtree.test_random.test_points_near ... ok
>test_kdtree.test_random.test_points_near_l1 ... ok
>test_kdtree.test_random.test_points_near_linf ... ok
>test_kdtree.test_random_ball.test_found_all ... ok
>test_kdtree.test_random_ball.test_in_ball ... ok
>test_kdtree.test_random_ball_approx.test_found_all ... ok
>test_kdtree.test_random_ball_approx.test_in_ball ... ok
>test_kdtree.test_random_ball_approx_compiled.test_found_all ... ok
>test_kdtree.test_random_ball_approx_compiled.test_in_ball ... ok
>test_kdtree.test_random_ball_compiled.test_found_all ... ok
>test_kdtree.test_random_ball_compiled.test_in_ball ... ok
>test_kdtree.test_random_ball_far.test_found_all ... ok
>test_kdtree.test_random_ball_far.test_in_ball ... ok
>test_kdtree.test_random_ball_far_compiled.test_found_all ... ok
>test_kdtree.test_random_ball_far_compiled.test_in_ball ... ok
>test_kdtree.test_random_ball_l1.test_found_all ... ok
>test_kdtree.test_random_ball_l1.test_in_ball ... ok
>test_kdtree.test_random_ball_l1_compiled.test_found_all ... ok
>test_kdtree.test_random_ball_l1_compiled.test_in_ball ... ok
>test_kdtree.test_random_ball_linf.test_found_all ... ok
>test_kdtree.test_random_ball_linf.test_in_ball ... ok
>test_kdtree.test_random_ball_linf_compiled.test_found_all ... ok
>test_kdtree.test_random_ball_linf_compiled.test_in_ball ... ok
>test_kdtree.test_random_compiled.test_approx ... ok
>test_kdtree.test_random_compiled.test_m_nearest ... ok
>test_kdtree.test_random_compiled.test_nearest ... ok
>test_kdtree.test_random_compiled.test_points_near ... ok
>test_kdtree.test_random_compiled.test_points_near_l1 ... ok
>test_kdtree.test_random_compiled.test_points_near_linf ... ok
>test_kdtree.test_random_far.test_approx ... ok
>test_kdtree.test_random_far.test_m_nearest ... ok
>test_kdtree.test_random_far.test_nearest ... ok
>test_kdtree.test_random_far.test_points_near ... ok
>test_kdtree.test_random_far.test_points_near_l1 ... ok
>test_kdtree.test_random_far.test_points_near_linf ... ok
>test_kdtree.test_random_far_compiled.test_approx ... ok
>test_kdtree.test_random_far_compiled.test_m_nearest ... ok
>test_kdtree.test_random_far_compiled.test_nearest ... ok
>test_kdtree.test_random_far_compiled.test_points_near ... ok
>test_kdtree.test_random_far_compiled.test_points_near_l1 ... ok
>test_kdtree.test_random_far_compiled.test_points_near_linf ... ok
>test_kdtree.test_rectangle.test_max_inside ... ok
>test_kdtree.test_rectangle.test_max_one_side ... ok
>test_kdtree.test_rectangle.test_max_two_sides ... ok
>test_kdtree.test_rectangle.test_min_inside ... ok
>test_kdtree.test_rectangle.test_min_one_side ... ok
>test_kdtree.test_rectangle.test_min_two_sides ... ok
>test_kdtree.test_rectangle.test_split ... ok
>test_kdtree.test_small.test_approx ... ok
>test_kdtree.test_small.test_m_nearest ... ok
>test_kdtree.test_small.test_nearest ... ok
>test_kdtree.test_small.test_nearest_two ... ok
>test_kdtree.test_small.test_points_near ... ok
>test_kdtree.test_small.test_points_near_l1 ... ok
>test_kdtree.test_small.test_points_near_linf ... ok
>test_kdtree.test_small_compiled.test_approx ... ok
>test_kdtree.test_small_compiled.test_m_nearest ... ok
>test_kdtree.test_small_compiled.test_nearest ... ok
>test_kdtree.test_small_compiled.test_nearest_two ... ok
>test_kdtree.test_small_compiled.test_points_near ... ok
>test_kdtree.test_small_compiled.test_points_near_l1 ... ok
>test_kdtree.test_small_compiled.test_points_near_linf ... ok
>test_kdtree.test_small_nonleaf.test_approx ... ok
>test_kdtree.test_small_nonleaf.test_m_nearest ... ok
>test_kdtree.test_small_nonleaf.test_nearest ... ok
>test_kdtree.test_small_nonleaf.test_nearest_two ... ok
>test_kdtree.test_small_nonleaf.test_points_near ... ok
>test_kdtree.test_small_nonleaf.test_points_near_l1 ... ok
>test_kdtree.test_small_nonleaf.test_points_near_linf ... ok
>test_kdtree.test_small_nonleaf_compiled.test_approx ... ok
>test_kdtree.test_small_nonleaf_compiled.test_m_nearest ... ok
>test_kdtree.test_small_nonleaf_compiled.test_nearest ... ok
>test_kdtree.test_small_nonleaf_compiled.test_nearest_two ... ok
>test_kdtree.test_small_nonleaf_compiled.test_points_near ... ok
>test_kdtree.test_small_nonleaf_compiled.test_points_near_l1 ... ok
>test_kdtree.test_small_nonleaf_compiled.test_points_near_linf ... ok
>test_kdtree.test_sparse_distance_matrix.test_consistency_with_neighbors ... ok
>test_kdtree.test_sparse_distance_matrix.test_zero_distance ... ok
>test_kdtree.test_sparse_distance_matrix_compiled.test_consistency_with_neighbors ... ok
>test_kdtree.test_sparse_distance_matrix_compiled.test_zero_distance ... ok
>test_kdtree.test_two_random_trees.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees.test_found_all ... ok
>test_kdtree.test_two_random_trees_compiled.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees_compiled.test_found_all ... ok
>test_kdtree.test_two_random_trees_far.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees_far.test_found_all ... ok
>test_kdtree.test_two_random_trees_far_compiled.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees_far_compiled.test_found_all ... ok
>test_kdtree.test_two_random_trees_linf.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees_linf.test_found_all ... ok
>test_kdtree.test_two_random_trees_linf_compiled.test_all_in_ball ... ok
>test_kdtree.test_two_random_trees_linf_compiled.test_found_all ... ok
>test_kdtree.test_vectorization.test_single_query ... ok
>test_kdtree.test_vectorization.test_single_query_all_neighbors ... ok
>test_kdtree.test_vectorization.test_single_query_multiple_neighbors ... ok
>test_kdtree.test_vectorization.test_vectorized_query ... ok
>test_kdtree.test_vectorization.test_vectorized_query_all_neighbors ... ok
>test_kdtree.test_vectorization.test_vectorized_query_multiple_neighbors ... ok
>test_kdtree.test_vectorization_compiled.test_single_query ... ok
>test_kdtree.test_vectorization_compiled.test_single_query_multiple_neighbors ... ok
>test_kdtree.test_vectorization_compiled.test_vectorized_query ... ok
>test_kdtree.test_vectorization_compiled.test_vectorized_query_multiple_neighbors ... ok
>test_kdtree.test_vectorization_compiled.test_vectorized_query_noncontiguous_values ... ok
>test_kdtree.test_random_ball_vectorized ... ok
>test_kdtree.test_random_ball_vectorized_compiled ... ok
>test_kdtree.test_distance_l2 ... ok
>test_kdtree.test_distance_l1 ... ok
>test_kdtree.test_distance_linf ... ok
>test_kdtree.test_distance_vectorization ... ok
>test_kdtree.test_distance_matrix ... ok
>test_kdtree.test_distance_matrix_looping ... ok
>test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0x452ffd0>, 0.1) ... ok
>test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0x452ff50>, 0.1) ... ok
>test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0x452ff50>, 0.001) ... ok
>test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0x452ff50>, 1e-05) ... ok
>test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0x452ff50>, 1e-06) ... ok
>test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0x4911050>, 0.1) ... ok
>test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0x49110e8>, 0.1) ... ok
>test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0x49110e8>, 0.001) ... ok
>test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0x49110e8>, 1e-05) ... ok
>test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0x49110e8>, 1e-06) ... ok
>test_kdtree.test_query_pairs_single_node ... ok
>test_kdtree.test_query_pairs_single_node_compiled ... ok
>Regression test for #1373. ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('pathological-1',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('pathological-2',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-2d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-3d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-4d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-5d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-6d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-7d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('random-8d',) ... ok
>test_qhull.TestConvexHull.test_hull_consistency_tri('some-points',) ... ok
>test_qhull.TestConvexHull.test_incremental('pathological-1', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('pathological-1', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('pathological-2', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('pathological-2', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-2d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-2d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-3d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-3d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-4d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-4d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-5d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-5d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-6d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-6d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-7d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-7d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('random-8d', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('random-8d', 4) ... ok
>test_qhull.TestConvexHull.test_incremental('some-points', 1) ... ok
>test_qhull.TestConvexHull.test_incremental('some-points', 4) ... ok
>test_qhull.TestDelaunay.test_2d_square ... ok
>test_qhull.TestDelaunay.test_coplanar ... ok
>test_qhull.TestDelaunay.test_duplicate_points ... ok
>test_qhull.TestDelaunay.test_furthest_site ... ok
>test_qhull.TestDelaunay.test_incremental('pathological-1', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('pathological-1', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('pathological-2', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('pathological-2', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-2d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-2d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-3d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-3d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-4d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-4d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-5d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-5d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-6d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-6d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-7d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-7d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('random-8d', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('random-8d', 4) ... ok
>test_qhull.TestDelaunay.test_incremental('some-points', 1) ... ok
>test_qhull.TestDelaunay.test_incremental('some-points', 4) ... ok
>test_qhull.TestDelaunay.test_joggle ... ok
>test_qhull.TestDelaunay.test_nd_simplex ... ok
>test_qhull.TestDelaunay.test_pathological ... ok
>test_qhull.TestRidgeIter2D.test_complicated ... ok
>test_qhull.TestRidgeIter2D.test_rectangle ... ok
>test_qhull.TestRidgeIter2D.test_triangle ... ok
>test_qhull.TestUtilities.test_convex_hull ... ok
>test_qhull.TestUtilities.test_degenerate_barycentric_transforms ... ok
>test_qhull.TestUtilities.test_find_simplex ... ok
>test_qhull.TestUtilities.test_more_barycentric_transforms ... ok
>test_qhull.TestUtilities.test_plane_distance ... ok
>test_qhull.TestVoronoi.test_furthest_site ... ok
>test_qhull.TestVoronoi.test_incremental('pathological-2', 1) ... ok
>test_qhull.TestVoronoi.test_incremental('pathological-2', 4) ... ok
>test_qhull.TestVoronoi.test_incremental('random-2d', 1) ... ok
>test_qhull.TestVoronoi.test_incremental('random-2d', 4) ... ok
>test_qhull.TestVoronoi.test_incremental('random-3d', 1) ... ok
>test_qhull.TestVoronoi.test_incremental('random-3d', 4) ... ok
>test_qhull.TestVoronoi.test_incremental('some-points', 1) ... ok
>test_qhull.TestVoronoi.test_incremental('some-points', 4) ... ok
>test_qhull.TestVoronoi.test_ridges('pathological-2',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-4d',) ... ok
>test_qhull.TestVoronoi.test_ridges('pathological-1',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-6d',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-7d',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-2d',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-3d',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-8d',) ... ok
>test_qhull.TestVoronoi.test_ridges('random-5d',) ... ok
>test_qhull.TestVoronoi.test_ridges('some-points',) ... ok
>test_qhull.TestVoronoi.test_simple ... ok
>test_qhull.Test_Qhull.test_swapping ... ok
>test_ai_zeros (test_basic.TestAiry) ... ok
>test_airy (test_basic.TestAiry) ... ok
>test_airye (test_basic.TestAiry) ... ok
>test_bi_zeros (test_basic.TestAiry) ... ok
>test_assoc_laguerre (test_basic.TestAssocLaguerre) ... ok
>test_bernoulli (test_basic.TestBernoulli) ... ok
>test_i0 (test_basic.TestBessel) ... ok
>test_i0_series (test_basic.TestBessel) ... ok
>test_i0e (test_basic.TestBessel) ... ok
>test_i1 (test_basic.TestBessel) ... ok
>test_i1_series (test_basic.TestBessel) ... ok
>test_i1e (test_basic.TestBessel) ... ok
>test_it2i0k0 (test_basic.TestBessel) ... ok
>test_it2j0y0 (test_basic.TestBessel) ... ok
>test_iti0k0 (test_basic.TestBessel) ... ok
>test_itj0y0 (test_basic.TestBessel) ... ok
>test_iv (test_basic.TestBessel) ... ok
>test_iv_cephes_vs_amos (test_basic.TestBessel) ... ok
>test_iv_cephes_vs_amos_mass_test (test_basic.TestBessel) ... ok
>test_iv_hyperg_poles (test_basic.TestBessel) ... ok
>test_iv_series (test_basic.TestBessel) ... ok
>test_ive (test_basic.TestBessel) ... ok
>test_ivp (test_basic.TestBessel) ... ok
>test_ivp0 (test_basic.TestBessel) ... ok
>test_j0 (test_basic.TestBessel) ... ok
>test_j1 (test_basic.TestBessel) ... ok
>test_jacobi (test_basic.TestBessel) ... ok
>test_jn (test_basic.TestBessel) ... ok
>test_jn_zeros (test_basic.TestBessel) ... ok
>test_jn_zeros_slow (test_basic.TestBessel) ... ok
>test_jnjnp_zeros (test_basic.TestBessel) ... ok
>test_jnp_zeros (test_basic.TestBessel) ... ok
>test_jnyn_zeros (test_basic.TestBessel) ... ok
>test_jv (test_basic.TestBessel) ... ok
>test_jv_cephes_vs_amos (test_basic.TestBessel) ... ok
>test_jve (test_basic.TestBessel) ... ok
>test_jvp (test_basic.TestBessel) ... ok
>test_k0 (test_basic.TestBessel) ... ok
>test_k0e (test_basic.TestBessel) ... ok
>test_k1 (test_basic.TestBessel) ... ok
>test_k1e (test_basic.TestBessel) ... ok
>test_kn (test_basic.TestBessel) ... ok
>test_kv0 (test_basic.TestBessel) ... ok
>test_kv1 (test_basic.TestBessel) ... ok
>test_kv2 (test_basic.TestBessel) ... ok
>test_kv_cephes_vs_amos (test_basic.TestBessel) ... ok
>test_kve (test_basic.TestBessel) ... ok
>test_kvp_n1 (test_basic.TestBessel) ... ok
>test_kvp_n2 (test_basic.TestBessel) ... ok
>test_kvp_v0n1 (test_basic.TestBessel) ... ok
>test_negv_iv (test_basic.TestBessel) ... ok
>test_negv_ive (test_basic.TestBessel) ... ok
>test_negv_jv (test_basic.TestBessel) ... ok
>test_negv_jve (test_basic.TestBessel) ... ok
>test_negv_kv (test_basic.TestBessel) ... ok
>test_negv_kve (test_basic.TestBessel) ... ok
>test_negv_yv (test_basic.TestBessel) ... ok
>test_negv_yve (test_basic.TestBessel) ... ok
>Real-valued Bessel I overflow ... ok
>test_ticket_623 (test_basic.TestBessel) ... ok
>Negative-order Bessels ... ok
>Real-valued Bessel domains ... ok
>test_y0 (test_basic.TestBessel) ... ok
>test_y0_zeros (test_basic.TestBessel) ... ok
>test_y1 (test_basic.TestBessel) ... ok
>test_y1_zeros (test_basic.TestBessel) ... ok
>test_y1p_zeros (test_basic.TestBessel) ... ok
>test_yn (test_basic.TestBessel) ... ok
>test_yn_zeros (test_basic.TestBessel) ... ok
>test_ynp_zeros (test_basic.TestBessel) ... ok
>test_ynp_zeros_large_order (test_basic.TestBessel) ... KNOWNFAIL: cephes/yv is not eps accurate for large orders on all platforms, and has nan/inf issues
>test_yv (test_basic.TestBessel) ... ok
>test_yv_cephes_vs_amos (test_basic.TestBessel) ... KNOWNFAIL: cephes/yv is not eps accurate for large orders on all platforms, and has nan/inf issues
>test_yv_cephes_vs_amos_only_small_orders (test_basic.TestBessel) ... ok
>test_yve (test_basic.TestBessel) ... ok
>test_yvp (test_basic.TestBessel) ... ok
>test_besselpoly (test_basic.TestBesselpoly) ... ok
>test_beta (test_basic.TestBeta) ... ok
>test_betainc (test_basic.TestBeta) ... ok
>test_betaincinv (test_basic.TestBeta) ... ok
>test_betaln (test_basic.TestBeta) ... ok
>test_airy (test_basic.TestCephes) ... ok
>test_airye (test_basic.TestCephes) ... ok
>test_bdtr (test_basic.TestCephes) ... ok
>test_bdtrc (test_basic.TestCephes) ... ok
>test_bdtri (test_basic.TestCephes) ... ok
>test_bdtrik (test_basic.TestCephes) ... ok
>test_bdtrin (test_basic.TestCephes) ... ok
>test_bei (test_basic.TestCephes) ... ok
>test_beip (test_basic.TestCephes) ... ok
>test_ber (test_basic.TestCephes) ... ok
>test_berp (test_basic.TestCephes) ... ok
>test_besselpoly (test_basic.TestCephes) ... ok
>test_beta (test_basic.TestCephes) ... ok
>test_beta_inf (test_basic.TestCephes) ... ok
>test_betainc (test_basic.TestCephes) ... ok
>test_betaincinv (test_basic.TestCephes) ... ok
>test_betaln (test_basic.TestCephes) ... ok
>test_binom (test_basic.TestCephes) ... ok
>test_binom_2 (test_basic.TestCephes) ... KNOWNFAIL: beta function overflow bug for a >> b
>test_binom_exact (test_basic.TestCephes) ... ok
>test_btdtr (test_basic.TestCephes) ... ok
>test_btdtri (test_basic.TestCephes) ... ok
>test_btdtria (test_basic.TestCephes) ... ok
>test_btdtrib (test_basic.TestCephes) ... ok
>test_cbrt (test_basic.TestCephes) ... ok
>test_chdtr (test_basic.TestCephes) ... ok
>test_chdtrc (test_basic.TestCephes) ... ok
>test_chdtri (test_basic.TestCephes) ... ok
>test_chdtriv (test_basic.TestCephes) ... ok
>test_chndtr (test_basic.TestCephes) ... ok
>test_chndtridf (test_basic.TestCephes) ... ok
>test_chndtrinc (test_basic.TestCephes) ... ok
>test_chndtrix (test_basic.TestCephes) ... ok
>test_cosdg (test_basic.TestCephes) ... ok
>test_cosm1 (test_basic.TestCephes) ... ok
>test_cotdg (test_basic.TestCephes) ... ok
>test_dawsn (test_basic.TestCephes) ... ok
>test_ellipe (test_basic.TestCephes) ... ok
>test_ellipeinc (test_basic.TestCephes) ... ok
>test_ellipj (test_basic.TestCephes) ... ok
>test_ellipk (test_basic.TestCephes) ... ok
>test_ellipkinc (test_basic.TestCephes) ... ok
>test_erf (test_basic.TestCephes) ... ok
>test_erfc (test_basic.TestCephes) ... ok
>test_exp1 (test_basic.TestCephes) ... ok
>test_exp10 (test_basic.TestCephes) ... ok
>test_exp1_reg (test_basic.TestCephes) ... ok
>test_exp2 (test_basic.TestCephes) ... ok
>test_expi (test_basic.TestCephes) ... ok
>test_expm1 (test_basic.TestCephes) ... ok
>test_expn (test_basic.TestCephes) ... ok
>test_fdtr (test_basic.TestCephes) ... ok
>test_fdtrc (test_basic.TestCephes) ... ok
>test_fdtri (test_basic.TestCephes) ... ok
>test_fdtridfd (test_basic.TestCephes) ... ok
>test_fresnel (test_basic.TestCephes) ... ok
>test_gamma (test_basic.TestCephes) ... ok
>test_gammainc (test_basic.TestCephes) ... ok
>test_gammaincc (test_basic.TestCephes) ... ok
>test_gammainccinv (test_basic.TestCephes) ... ok
>test_gammaln (test_basic.TestCephes) ... ok
>test_gammasgn (test_basic.TestCephes) ... ok
>test_gdtr (test_basic.TestCephes) ... ok
>test_gdtrc (test_basic.TestCephes) ... ok
>test_gdtria (test_basic.TestCephes) ... ok
>test_gdtrib (test_basic.TestCephes) ... ok
>test_gdtrix (test_basic.TestCephes) ... ok
>test_hankel1 (test_basic.TestCephes) ... ok
>test_hankel1e (test_basic.TestCephes) ... ok
>test_hankel2 (test_basic.TestCephes) ... ok
>test_hankel2e (test_basic.TestCephes) ... ok
>test_hyp1f1 (test_basic.TestCephes) ... ok
>test_hyp1f2 (test_basic.TestCephes) ... ok
>test_hyp2f0 (test_basic.TestCephes) ... ok
>test_hyp2f1 (test_basic.TestCephes) ... ok
>test_hyp3f0 (test_basic.TestCephes) ... ok
>test_hyperu (test_basic.TestCephes) ... ok
>test_i0 (test_basic.TestCephes) ... ok
>test_i0e (test_basic.TestCephes) ... ok
>test_i1 (test_basic.TestCephes) ... ok
>test_i1e (test_basic.TestCephes) ... ok
>test_it2i0k0 (test_basic.TestCephes) ... ok
>test_it2j0y0 (test_basic.TestCephes) ... ok
>test_it2struve0 (test_basic.TestCephes) ... ok
>test_itairy (test_basic.TestCephes) ... ok
>test_iti0k0 (test_basic.TestCephes) ... ok
>test_itj0y0 (test_basic.TestCephes) ... ok
>test_itmodstruve0 (test_basic.TestCephes) ... ok
>test_itstruve0 (test_basic.TestCephes) ... ok
>test_iv (test_basic.TestCephes) ... ok
>test_j0 (test_basic.TestCephes) ... ok
>test_j1 (test_basic.TestCephes) ... ok
>test_jn (test_basic.TestCephes) ... ok
>test_jv (test_basic.TestCephes) ... ok
>test_k0 (test_basic.TestCephes) ... ok
>test_k0e (test_basic.TestCephes) ... ok
>test_k1 (test_basic.TestCephes) ... ok
>test_k1e (test_basic.TestCephes) ... ok
>test_kei (test_basic.TestCephes) ... ok
>test_keip (test_basic.TestCephes) ... ok
>test_ker (test_basic.TestCephes) ... ok
>test_kerp (test_basic.TestCephes) ... ok
>test_kn (test_basic.TestCephes) ... ok
>test_kolmogi (test_basic.TestCephes) ... ok
>test_kolmogorov (test_basic.TestCephes) ... ok
>test_log1p (test_basic.TestCephes) ... ok
>test_lpmv (test_basic.TestCephes) ... ok
>test_mathieu_a (test_basic.TestCephes) ... ok
>test_mathieu_b (test_basic.TestCephes) ... ok
>test_mathieu_cem (test_basic.TestCephes) ... ok
>test_mathieu_modcem1 (test_basic.TestCephes) ... ok
>test_mathieu_modcem2 (test_basic.TestCephes) ... ok
>test_mathieu_modsem1 (test_basic.TestCephes) ... ok
>test_mathieu_modsem2 (test_basic.TestCephes) ... ok
>test_mathieu_overflow (test_basic.TestCephes) ... ok
>test_mathieu_sem (test_basic.TestCephes) ... ok
>test_mathieu_ticket_1847 (test_basic.TestCephes) ... ok
>test_modfresnelm (test_basic.TestCephes) ... ok
>test_modfresnelp (test_basic.TestCephes) ... ok
>test_nbdtr (test_basic.TestCephes) ... ok
>test_nbdtrc (test_basic.TestCephes) ... ok
>test_nbdtri (test_basic.TestCephes) ... ok
>test_nbdtrin (test_basic.TestCephes) ... ok
>test_ncfdtr (test_basic.TestCephes) ... ok
>test_ncfdtri (test_basic.TestCephes) ... ok
>test_ncfdtridfd (test_basic.TestCephes) ... ok
>test_nctdtr (test_basic.TestCephes) ... ok
>test_nctdtrinc (test_basic.TestCephes) ... ok
>test_nctdtrit (test_basic.TestCephes) ... ok
>test_ndtr (test_basic.TestCephes) ... ok
>test_ndtri (test_basic.TestCephes) ... ok
>test_nrdtrimn (test_basic.TestCephes) ... ok
>test_nrdtrisd (test_basic.TestCephes) ... ok
>test_obl_ang1 (test_basic.TestCephes) ... ok
>test_obl_ang1_cv (test_basic.TestCephes) ... ok
>test_obl_rad1 (test_basic.TestCephes) ... ok
>test_obl_rad1_cv (test_basic.TestCephes) ... ok
>test_obl_rad2 (test_basic.TestCephes) ... ok
>test_obl_rad2_cv (test_basic.TestCephes) ... ok
>test_pbdv (test_basic.TestCephes) ... ok
>test_pbvv (test_basic.TestCephes) ... ok
>test_pbwa (test_basic.TestCephes) ... ok
>test_pdtr (test_basic.TestCephes) ... ok
>test_pdtrc (test_basic.TestCephes) ... ok
>test_pdtri (test_basic.TestCephes) ... ok
>test_pdtrik (test_basic.TestCephes) ... ok
>test_pro_ang1 (test_basic.TestCephes) ... ok
>test_pro_ang1_cv (test_basic.TestCephes) ... ok
>test_pro_rad1 (test_basic.TestCephes) ... ok
>test_pro_rad1_cv (test_basic.TestCephes) ... ok
>test_pro_rad2 (test_basic.TestCephes) ... ok
>test_pro_rad2_cv (test_basic.TestCephes) ... ok
>test_psi (test_basic.TestCephes) ... ok
>test_radian (test_basic.TestCephes) ... ok
>test_rgamma (test_basic.TestCephes) ... ok
>test_round (test_basic.TestCephes) ... ok
>test_shichi (test_basic.TestCephes) ... ok
>test_sici (test_basic.TestCephes) ... ok
>test_sindg (test_basic.TestCephes) ... ok
>test_smirnov (test_basic.TestCephes) ... ok
>test_smirnovi (test_basic.TestCephes) ... ok
>test_spence (test_basic.TestCephes) ... ok
>test_stdtr (test_basic.TestCephes) ... ok
>test_stdtridf (test_basic.TestCephes) ... ok
>test_stdtrit (test_basic.TestCephes) ... ok
>test_struve (test_basic.TestCephes) ... ok
>test_tandg (test_basic.TestCephes) ... ok
>test_tklmbda (test_basic.TestCephes) ... ok
>test_wofz (test_basic.TestCephes) ... ok
>test_y0 (test_basic.TestCephes) ... ok
>test_y1 (test_basic.TestCephes) ... ok
>test_yn (test_basic.TestCephes) ... ok
>test_yv (test_basic.TestCephes) ... ok
>test_zeta (test_basic.TestCephes) ... ok
>test_zetac (test_basic.TestCephes) ... ok
>test_ellipe (test_basic.TestEllip) ... ok
>test_ellipeinc (test_basic.TestEllip) ... ok
>test_ellipj (test_basic.TestEllip) ... ok
>Regression test for #912. ... ok
>test_ellipk (test_basic.TestEllip) ... ok
>test_ellipkinc (test_basic.TestEllip) ... ok
>test_dawsn_consistent (test_basic.TestErf) ... ok
>test_erf (test_basic.TestErf) ... ok
>test_erf_zeros (test_basic.TestErf) ... ok
>test_erfc_consistent (test_basic.TestErf) ... ok
>test_erfcinv (test_basic.TestErf) ... ok
>test_erfcx_consistent (test_basic.TestErf) ... ok
>test_erfi_consistent (test_basic.TestErf) ... ok
>test_erfinv (test_basic.TestErf) ... ok
>test_errprint (test_basic.TestErf) ... ok
>test_euler (test_basic.TestEuler) ... ok
>test_exp10 (test_basic.TestExp) ... ok
>test_exp10more (test_basic.TestExp) ... ok
>test_exp2 (test_basic.TestExp) ... ok
>test_exp2more (test_basic.TestExp) ... ok
>test_expm1 (test_basic.TestExp) ... ok
>test_expm1more (test_basic.TestExp) ... ok
>test_fresnel (test_basic.TestFresnel) ... ok
>test_fresnel_zeros (test_basic.TestFresnel) ... ok
>test_fresnelc_zeros (test_basic.TestFresnel) ... ok
>test_fresnels_zeros (test_basic.TestFresnel) ... ok
>test_modfresnelm (test_basic.TestFresnelIntegral) ... ok
>test_modfresnelp (test_basic.TestFresnelIntegral) ... ok
>test_975 (test_basic.TestGamma) ... ok
>test_gamma (test_basic.TestGamma) ... ok
>test_gammainc (test_basic.TestGamma) ... ok
>test_gammaincc (test_basic.TestGamma) ... ok
>test_gammainccinv (test_basic.TestGamma) ... ok
>test_gammainccnan (test_basic.TestGamma) ... ok
>test_gammaincinv (test_basic.TestGamma) ... ok
>test_gammaincnan (test_basic.TestGamma) ... ok
>test_gammainczero (test_basic.TestGamma) ... ok
>test_gammaln (test_basic.TestGamma) ... ok
>test_infinity (test_basic.TestGamma) ... ok
>test_rgamma (test_basic.TestGamma) ... ok
>test_hankel1 (test_basic.TestHankel) ... ok
>test_hankel1e (test_basic.TestHankel) ... ok
>test_hankel2 (test_basic.TestHankel) ... ok
>test_hankl2e (test_basic.TestHankel) ... ok
>test_neg2e (test_basic.TestHankel) ... ok
>test_negv1 (test_basic.TestHankel) ... ok
>test_negv1e (test_basic.TestHankel) ... ok
>test_negv2 (test_basic.TestHankel) ... ok
>test_h1vp (test_basic.TestHyper) ... ok
>test_h2vp (test_basic.TestHyper) ... ok
>test_hyp0f1 (test_basic.TestHyper) ... ok
>test_hyp1f1 (test_basic.TestHyper) ... ok
>test_hyp1f2 (test_basic.TestHyper) ... ok
>test_hyp2f0 (test_basic.TestHyper) ... ok
>test_hyp2f1 (test_basic.TestHyper) ... ok
>test_hyp3f0 (test_basic.TestHyper) ... ok
>test_hyperu (test_basic.TestHyper) ... ok
>test_bei (test_basic.TestKelvin) ... ok
>test_bei_zeros (test_basic.TestKelvin) ... ok
>test_beip (test_basic.TestKelvin) ... ok
>test_beip_zeros (test_basic.TestKelvin) ... ok
>test_ber (test_basic.TestKelvin) ... ok
>test_ber_zeros (test_basic.TestKelvin) ... ok
>test_berp (test_basic.TestKelvin) ... ok
>test_berp_zeros (test_basic.TestKelvin) ... ok
>test_kei (test_basic.TestKelvin) ... ok
>test_kei_zeros (test_basic.TestKelvin) ... ok
>test_keip (test_basic.TestKelvin) ... ok
>test_keip_zeros (test_basic.TestKelvin) ... ok
>test_kelvin (test_basic.TestKelvin) ... ok
>test_kelvin_zeros (test_basic.TestKelvin) ... ok
>test_ker (test_basic.TestKelvin) ... ok
>test_ker_zeros (test_basic.TestKelvin) ... ok
>test_kerp (test_basic.TestKelvin) ... ok
>test_kerp_zeros (test_basic.TestKelvin) ... ok
>test_genlaguerre (test_basic.TestLaguerre) ... ok
>test_laguerre (test_basic.TestLaguerre) ... ok
>test_lmbda (test_basic.TestLambda) ... ok
>test_legendre (test_basic.TestLegendre) ... ok
>test_lpmn (test_basic.TestLegendreFunctions) ... ok
>test_lpmv (test_basic.TestLegendreFunctions) ... ok
>test_lpn (test_basic.TestLegendreFunctions) ... ok
>test_lqmn (test_basic.TestLegendreFunctions) ... ok
>test_lqmn_shape (test_basic.TestLegendreFunctions) ... ok
>test_lqn (test_basic.TestLegendreFunctions) ... ok
>test_log1p (test_basic.TestLog1p) ... ok
>test_log1pmore (test_basic.TestLog1p) ... ok
>test_mathieu_a (test_basic.TestMathieu) ... ok
>test_mathieu_even_coef (test_basic.TestMathieu) ... ok
>test_mathieu_odd_coef (test_basic.TestMathieu) ... ok
>test_obl_cv_seq (test_basic.TestOblCvSeq) ... ok
>test_pbdn_seq (test_basic.TestParabolicCylinder) ... ok
>test_pbdv (test_basic.TestParabolicCylinder) ... ok
>test_pbdv_gradient (test_basic.TestParabolicCylinder) ... ok
>test_pbdv_points (test_basic.TestParabolicCylinder) ... ok
>test_pbdv_seq (test_basic.TestParabolicCylinder) ... ok
>test_pbvv_gradient (test_basic.TestParabolicCylinder) ... ok
>test_polygamma (test_basic.TestPolygamma) ... ok
>test_pro_cv_seq (test_basic.TestProCvSeq) ... ok
>test_psi (test_basic.TestPsi) ... ok
>test_radian (test_basic.TestRadian) ... ok
>test_radianmore (test_basic.TestRadian) ... ok
>test_riccati_jn (test_basic.TestRiccati) ... ok
>test_riccati_yn (test_basic.TestRiccati) ... ok
>test_round (test_basic.TestRound) ... ok
>test_sph_harm (test_basic.TestSpherical) ... ok
>test_sph_in (test_basic.TestSpherical) ... ok
>test_sph_inkn (test_basic.TestSpherical) ... ok
>test_sph_jn (test_basic.TestSpherical) ... ok
>test_sph_jnyn (test_basic.TestSpherical) ... ok
>test_sph_kn (test_basic.TestSpherical) ... ok
>test_sph_yn (test_basic.TestSpherical) ... ok
>Regression test for #679 ... ok
>test_basic.TestStruve.test_some_values ... ok
>Check Struve function versus its power series ... ok
>test_specialpoints (test_basic.TestTandg) ... ok
>test_tandg (test_basic.TestTandg) ... ok
>test_tandgmore (test_basic.TestTandg) ... ok
>test_0 (test_basic.TestTrigonometric) ... ok
>test_cbrt (test_basic.TestTrigonometric) ... ok
>test_cbrtmore (test_basic.TestTrigonometric) ... ok
>test_cosdg (test_basic.TestTrigonometric) ... ok
>test_cosdgmore (test_basic.TestTrigonometric) ... ok
>test_cosm1 (test_basic.TestTrigonometric) ... ok
>test_cotdg (test_basic.TestTrigonometric) ... ok
>test_cotdgmore (test_basic.TestTrigonometric) ... ok
>test_sinc (test_basic.TestTrigonometric) ... ok
>test_sindg (test_basic.TestTrigonometric) ... ok
>test_sindgmore (test_basic.TestTrigonometric) ... ok
>test_specialpoints (test_basic.TestTrigonometric) ... ok
>test_basic.test_error_raising ... ok
>test_basic.test_sph_harm(array((0.28209479177387814+0j)), 0.28209479177387814) ... ok
>test_basic.test_sph_harm(array((0.1931371010115948+0j)), 0.19313710101159473) ... ok
>test_basic.test_sph_harm(array((0.3862742020231897+0j)), 0.38627420202318957) ... ok
>test_basic.test_sph_harm(array((0.3862742020231896-9.460989302017943e-17j)), (0.38627420202318957-9.4609893020179434e-17j)) ... ok
>test_basic.test_sph_harm(array((1.1522049019425493e-17+0.18816934037548774j)), (1.1522049019425496e-17+0.18816934037548777j)) ... ok
>test_basic.test_sph_harm(array((1.6935820166275232e-18+0.027658293277811382j)), (1.6935820166275244e-18+0.027658293277811399j)) ... ok
>test_basic.test_chi2_smalldf ... ok
>test_basic.test_chi2c_smalldf ... ok
>test_basic.test_chi2_inv_smalldf ... ok
>test_basic.test_agm_simple ... ok
>test_basic.test_legacy ... ok
>test_data.test_boost(<Data for arccosh: acosh_data_ipp-acosh_data>,) ... ok
>test_data.test_boost(<Data for arccosh (complex): acosh_data_ipp-acosh_data>,) ... ok
>test_data.test_boost(<Data for arcsinh: asinh_data_ipp-asinh_data>,) ... ok
>test_data.test_boost(<Data for arcsinh (complex): asinh_data_ipp-asinh_data>,) ... ok
>test_data.test_boost(<Data for arctanh: atanh_data_ipp-atanh_data>,) ... ok
>test_data.test_boost(<Data for arctanh (complex): atanh_data_ipp-atanh_data>,) ... ok
>test_data.test_boost(<Data for assoc_legendre_p_boost_: assoc_legendre_p_ipp-assoc_legendre_p>,) ... ok
>test_data.test_boost(<Data for legendre_p_via_assoc_: legendre_p_ipp-legendre_p>,) ... ok
>test_data.test_boost(<Data for beta: beta_exp_data_ipp-beta_exp_data>,) ... ok
>test_data.test_boost(<Data for beta: beta_exp_data_ipp-beta_exp_data>,) ... ok
>test_data.test_boost(<Data for beta: beta_small_data_ipp-beta_small_data>,) ... ok
>test_data.test_boost(<Data for cbrt: cbrt_data_ipp-cbrt_data>,) ... ok
>test_data.test_boost(<Data for psi: digamma_data_ipp-digamma_data>,) ... ok
>test_data.test_boost(<Data for psi (complex): digamma_data_ipp-digamma_data>,) ... ok
>test_data.test_boost(<Data for psi: digamma_neg_data_ipp-digamma_neg_data>,) ... ok
>test_data.test_boost(<Data for psi (complex): digamma_neg_data_ipp-digamma_neg_data>,) ... ok
>test_data.test_boost(<Data for psi: digamma_root_data_ipp-digamma_root_data>,) ... ok
>test_data.test_boost(<Data for psi (complex): digamma_root_data_ipp-digamma_root_data>,) ... ok
>test_data.test_boost(<Data for psi: digamma_small_data_ipp-digamma_small_data>,) ... ok
>test_data.test_boost(<Data for psi (complex): digamma_small_data_ipp-digamma_small_data>,) ... ok
>test_data.test_boost(<Data for ellipk_: ellint_k_data_ipp-ellint_k_data>,) ... ok
>test_data.test_boost(<Data for ellipkm1: -ellipkm1>,) ... ok
>test_data.test_boost(<Data for ellipe_: ellint_e_data_ipp-ellint_e_data>,) ... ok
>test_data.test_boost(<Data for ellipeinc_: ellint_e2_data_ipp-ellint_e2_data>,) ... ok
>test_data.test_boost(<Data for erf: erf_data_ipp-erf_data>,) ... ok
>test_data.test_boost(<Data for erf (complex): erf_data_ipp-erf_data>,) ... ok
>test_data.test_boost(<Data for erfc: erf_data_ipp-erf_data>,) ... ok
>test_data.test_boost(<Data for erf: erf_large_data_ipp-erf_large_data>,) ... ok
>test_data.test_boost(<Data for erf (complex): erf_large_data_ipp-erf_large_data>,) ... ok
>test_data.test_boost(<Data for erfc: erf_large_data_ipp-erf_large_data>,) ... ok
>test_data.test_boost(<Data for erf: erf_small_data_ipp-erf_small_data>,) ... ok
>test_data.test_boost(<Data for erf (complex): erf_small_data_ipp-erf_small_data>,) ... ok
>test_data.test_boost(<Data for erfc: erf_small_data_ipp-erf_small_data>,) ... ok
>test_data.test_boost(<Data for erfinv: erf_inv_data_ipp-erf_inv_data>,) ... ok
>test_data.test_boost(<Data for erfcinv: erfc_inv_data_ipp-erfc_inv_data>,) ... ok
>test_data.test_boost(<Data for exp1: expint_1_data_ipp-expint_1_data>,) ... ok
>test_data.test_boost(<Data for exp1 (complex): expint_1_data_ipp-expint_1_data>,) ... ok
>test_data.test_boost(<Data for expi: expinti_data_ipp-expinti_data>,) ... ok
>test_data.test_boost(<Data for expi: expinti_data_double_ipp-expinti_data_double>,) ... ok
>test_data.test_boost(<Data for expn: expint_small_data_ipp-expint_small_data>,) ... ok
>test_data.test_boost(<Data for expn: expint_data_ipp-expint_data>,) ... ok
>test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_0>,) ... ok
>test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_1>,) ... ok
>test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_2>,) ... ok
>test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_m10>,) ... ok
>test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_m55>,) ... ok
>test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_0>,) ... ok
>test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_1>,) ... ok
>test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_2>,) ... ok
>test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_m10>,) ... ok
>test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_m55>,) ... ok
>test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_0>,) ... ok
>test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_1>,) ... ok
>test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_2>,) ... ok
>test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_m10>,) ... ok
>test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_m55>,) ... ok
>test_data.test_boost(<Data for log1p: log1p_expm1_data_ipp-log1p_expm1_data>,) ... ok
>test_data.test_boost(<Data for expm1: log1p_expm1_data_ipp-log1p_expm1_data>,) ... ok
>test_data.test_boost(<Data for iv: bessel_i_data_ipp-bessel_i_data>,) ... ok
>test_data.test_boost(<Data for iv (complex): bessel_i_data_ipp-bessel_i_data>,) ... ok
>test_data.test_boost(<Data for iv: bessel_i_int_data_ipp-bessel_i_int_data>,) ... ok
>test_data.test_boost(<Data for iv (complex): bessel_i_int_data_ipp-bessel_i_int_data>,) ... ok
>test_data.test_boost(<Data for jv: bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
>test_data.test_boost(<Data for jv (complex): bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
>test_data.test_boost(<Data for jv: bessel_j_large_data_ipp-bessel_j_large_data>,) ... ok
>test_data.test_boost(<Data for jv (complex): bessel_j_large_data_ipp-bessel_j_large_data>,) ... ok
>test_data.test_boost(<Data for jv: bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
>test_data.test_boost(<Data for jv (complex): bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
>test_data.test_boost(<Data for jv: bessel_j_data_ipp-bessel_j_data>,) ... ok
>test_data.test_boost(<Data for jv (complex): bessel_j_data_ipp-bessel_j_data>,) ... ok
>test_data.test_boost(<Data for kn: bessel_k_int_data_ipp-bessel_k_int_data>,) ... KNOWNFAIL: Known bug in Cephes kn implementation
>test_data.test_boost(<Data for kv: bessel_k_int_data_ipp-bessel_k_int_data>,) ... ok
>test_data.test_boost(<Data for kv (complex): bessel_k_int_data_ipp-bessel_k_int_data>,) ... ok
>test_data.test_boost(<Data for kv: bessel_k_data_ipp-bessel_k_data>,) ... ok
>test_data.test_boost(<Data for kv (complex): bessel_k_data_ipp-bessel_k_data>,) ... ok
>test_data.test_boost(<Data for yn: bessel_y01_data_ipp-bessel_y01_data>,) ... ok
>test_data.test_boost(<Data for yn: bessel_yn_data_ipp-bessel_yn_data>,) ... ok
>test_data.test_boost(<Data for yv: bessel_yn_data_ipp-bessel_yn_data>,) ... ok
>test_data.test_boost(<Data for yv (complex): bessel_yn_data_ipp-bessel_yn_data>,) ... ok
>test_data.test_boost(<Data for yv: bessel_yv_data_ipp-bessel_yv_data>,) ... KNOWNFAIL: Known bug in Cephes yv implementation
>test_data.test_boost(<Data for yv (complex): bessel_yv_data_ipp-bessel_yv_data>,) ... ok
>test_data.test_boost(<Data for zeta_: zeta_data_ipp-zeta_data>,) ... ok
>test_data.test_boost(<Data for zeta_: zeta_neg_data_ipp-zeta_neg_data>,) ... ok
>test_data.test_boost(<Data for zeta_: zeta_1_up_data_ipp-zeta_1_up_data>,) ... ok
>test_data.test_boost(<Data for zeta_: zeta_1_below_data_ipp-zeta_1_below_data>,) ... ok
>test_data.test_boost(<Data for gammaincinv: gamma_inv_data_ipp-gamma_inv_data>,) ... ok
>test_data.test_boost(<Data for gammaincinv: gamma_inv_big_data_ipp-gamma_inv_big_data>,) ... ok
>test_data.test_gsl(<Data for mathieu_a: mathieu_ab>,) ... ok
>test_data.test_gsl(<Data for mathieu_b: mathieu_ab>,) ... ok
>test_data.test_gsl(<Data for mathieu_ce_rad: mathieu_ce_se>,) ... ok
>test_data.test_gsl(<Data for mathieu_se_rad: mathieu_ce_se>,) ... ok
>test_data.test_gsl(<Data for mathieu_mc1_scaled: mathieu_mc_ms>,) ... ok
>test_data.test_gsl(<Data for mathieu_ms1_scaled: mathieu_mc_ms>,) ... ok
>test_data.test_gsl(<Data for mathieu_mc2_scaled: mathieu_mc_ms>,) ... ok
>test_data.test_gsl(<Data for mathieu_ms2_scaled: mathieu_mc_ms>,) ... ok
>test_lambertw.test_values ... ok
>test_lambertw.test_ufunc ... ok
>test_float32 (test_logit.TestExpit) ... ok
>test_float64 (test_logit.TestExpit) ... ok
>test_float32 (test_logit.TestLogit) ... ok
>test_float64 (test_logit.TestLogit) ... ok
>test_nan (test_logit.TestLogit) ... ok
>test_mpmath.test_expi_complex ... SKIP: Skipping test: test_expi_complex
>mpmath library is not present
>test_mpmath.test_hyp2f1_strange_points ... SKIP: Skipping test: test_hyp2f1_strange_points
>mpmath library is not present
>test_mpmath.test_hyp2f1_real_some_points ... SKIP: Skipping test: test_hyp2f1_real_some_points
>mpmath library is not present
>test_mpmath.test_hyp2f1_some_points_2 ... SKIP: Skipping test: test_hyp2f1_some_points_2
>mpmath library is not present
>test_mpmath.test_hyp2f1_real_some ... SKIP: Skipping test: test_hyp2f1_real_some
>mpmath library is not present
>test_mpmath.test_hyp2f1_real_random ... SKIP: Skipping test: test_hyp2f1_real_random
>mpmath library is not present
>test_mpmath.test_erf_complex ... SKIP: Skipping test: test_erf_complex
>mpmath library is not present
>test_mpmath.test_lpmv ... SKIP: Skipping test: test_lpmv
>mpmath library is not present
>test_mpmath.test_beta ... SKIP: Skipping test: test_beta
>mpmath library is not present
>test_orthogonal.TestCall.test_call ... ok
>test_chebyc (test_orthogonal.TestCheby) ... ok
>test_chebys (test_orthogonal.TestCheby) ... ok
>test_chebyt (test_orthogonal.TestCheby) ... ok
>test_chebyu (test_orthogonal.TestCheby) ... ok
>test_gegenbauer (test_orthogonal.TestGegenbauer) ... ok
>test_hermite (test_orthogonal.TestHermite) ... ok
>test_hermitenorm (test_orthogonal.TestHermite) ... ok
>test_orthogonal_eval.TestPolys.test_chebyc ... ok
>test_orthogonal_eval.TestPolys.test_chebys ... ok
>test_orthogonal_eval.TestPolys.test_chebyt ... ok
>test_orthogonal_eval.TestPolys.test_chebyu ... ok
>test_orthogonal_eval.TestPolys.test_gegenbauer ... ok
>test_orthogonal_eval.TestPolys.test_genlaguerre ... ok
>test_orthogonal_eval.TestPolys.test_hermite ... ok
>test_orthogonal_eval.TestPolys.test_hermitenorm ... ok
>test_orthogonal_eval.TestPolys.test_jacobi ... ok
>test_orthogonal_eval.TestPolys.test_laguerre ... ok
>test_orthogonal_eval.TestPolys.test_legendre ... ok
>test_orthogonal_eval.TestPolys.test_sh_chebyt ... ok
>test_orthogonal_eval.TestPolys.test_sh_chebyu ... ok
>test_orthogonal_eval.TestPolys.test_sh_jacobi ... ok
>test_orthogonal_eval.TestPolys.test_sh_legendre ... ok
>test_orthogonal_eval.TestRecurrence.test_chebyc ... ok
>test_orthogonal_eval.TestRecurrence.test_chebys ... ok
>test_orthogonal_eval.TestRecurrence.test_chebyt ... ok
>test_orthogonal_eval.TestRecurrence.test_chebyu ... ok
>test_orthogonal_eval.TestRecurrence.test_gegenbauer ... ok
>test_orthogonal_eval.TestRecurrence.test_genlaguerre ... ok
>test_orthogonal_eval.TestRecurrence.test_jacobi ... ok
>test_orthogonal_eval.TestRecurrence.test_laguerre ... ok
>test_orthogonal_eval.TestRecurrence.test_legendre ... ok
>test_orthogonal_eval.TestRecurrence.test_sh_chebyt ... ok
>test_orthogonal_eval.TestRecurrence.test_sh_chebyu ... ok
>test_orthogonal_eval.TestRecurrence.test_sh_jacobi ... ok
>test_orthogonal_eval.TestRecurrence.test_sh_legendre ... ok
>test_orthogonal_eval.test_eval_chebyt ... ok
>test_orthogonal_eval.test_warnings ... ok
>test1 (test_spfun_stats.TestMultiGammaLn) ... ok
>test_ararg (test_spfun_stats.TestMultiGammaLn) ... ok
>test_bararg (test_spfun_stats.TestMultiGammaLn) ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_bincode ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_count ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_mean ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_median ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_std ... ok
>test_binned_statistic.TestBinnedStatistic.test_1d_sum ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_bincode ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_count ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_mean ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_median ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_std ... ok
>test_binned_statistic.TestBinnedStatistic.test_2d_sum ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_bincode ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_count ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_mean ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_median ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_std ... ok
>test_binned_statistic.TestBinnedStatistic.test_dd_sum ... ok
>test_contingency.test_margins ... ok
>test_contingency.test_expected_freq ... ok
>Some very simple tests for chi2_contingency. ... ok
>Some test cases that were computed independently, using R. ... ok
>test_contingency.test_chi2_contingency_bad_args ... ok
>test_continuous_basic.test_cont_basic ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), array(0.0), array(1.2898681336964528), 0.066877232164720093, 1.2557095806403153, 1000, 'cosinesample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), array(0.0), array(1.2898681336964528), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine') ... ok
>test_continuous_basic.test_cont_basic_slow('cosine', (), 0.01, array([ -1.834e+00,  -1.020e+00,  -1.207e+00,   1.770e+00,  -8.363e-01,   4.322e-01, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 0.79716096342878007, 0.0093964106719664608, 1000, 'gausshypersample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
>test_continuous_basic.test_cont_basic_slow('gausshyper', (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 0.01, array([ 0.609,  0.708,  0.688,  0.927,  0.727,  0.838,  0.882,  0.846,  0.887,  0.703, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604093), array(0.004748806170273567), 0.085394283597286444, 0.0049721262309725253, 1000, 'genexponsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604093), array(0.004748806170273567), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
>test_continuous_basic.test_cont_basic_slow('genexpon', (9.13259764654189, 16.23195660059063, 3.2819552690843983), 0.01, array([  6.030e-03,   2.320e-02,   1.805e-02,   2.049e-01,   2.895e-02,   8.933e-02, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), array(1.064245928570055), array(0.019515313753651453), 1.0717327056387989, 0.020316928703907878, 1000, 'invweibullsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), array(1.064245928570055), array(0.019515313753651453), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull') ... ok
>test_continuous_basic.test_cont_basic_slow('invweibull', (10.58,), 0.01, array([ 0.904,  0.957,  0.944,  1.296,  0.969,  1.078,  1.155,  1.09 ,  1.166,  0.953, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), -1.4802090580087397, 0.64030549378085866, 1000, 'johnsonsusample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
>test_continuous_basic.test_cont_basic_slow('johnsonsu', (2.554395574161155, 2.2482281679651965), 0.01, array([-3.098, -2.146, -2.325, -0.469, -1.987, -1.148, -0.828, -1.089, -0.793, -2.191, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 0.020229310594215771, 0.00010848811750334306, 1000, 'ksonesample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone') ... ok
>test_continuous_basic.test_cont_basic_slow('ksone', (1000,), 0.01, array([ 0.005,  0.01 ,  0.009,  0.037,  0.012,  0.022,  0.028,  0.023,  0.029,  0.01 , ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), array(0.868733101720468), array(0.06777109615641685), 0.88333617713614543, 0.068962463183067341, 1000, 'kstwobignsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), array(0.868733101720468), array(0.06777109615641685), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign') ... ok
>test_continuous_basic.test_cont_basic_slow('kstwobign', (), 0.01, array([ 0.525,  0.646,  0.617,  1.317,  0.676,  0.921,  1.078,  0.946,  1.099,  0.639, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 1.6787451437758132, 0.76460232760244395, 1000, 'mielkesample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke') ... ok
>test_continuous_basic.test_cont_basic_slow('mielke', (10.4, 3.6), 0.01, array([ 0.858,  1.088,  1.033,  2.868,  1.143,  1.636,  2.03 ,  1.694,  2.089,  1.073, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 0.82762934478457906, 0.088971628537018746, 1000, 'powerlognormsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
>test_continuous_basic.test_cont_basic_slow('powerlognorm', (2.1413923530064087, 0.44639540782048337), 0.01, array([ 0.419,  0.564,  0.53 ,  1.308,  0.598,  0.868,  1.038,  0.896,  1.061,  0.556, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), array(0.0), array(1.7800284850122077), 0.034195658437947099, 0.53053935902929517, 1000, 'rdistsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), array(0.0), array(1.7800284850122077), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist') ... ok
>test_continuous_basic.test_cont_basic_slow('rdist', (0.9,), 0.01, array([ -9.908e-01,  -8.354e-01,  -9.020e-01,   9.876e-01,  -7.439e-01,   4.408e-01, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), array(2.5871940660171564), array(3.587194065907795), 2.4895378659294742, 3.0462804278153826, 1000, 'recipinvgausssample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), array(2.5871940660171564), array(3.587194065907795), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss') ... ok
>test_continuous_basic.test_cont_basic_slow('recipinvgauss', (0.6300426780936912,), 0.01, array([  0.909,   4.33 ,   2.297,   1.081,   4.02 ,   5.026,   1.079,   2.309,   0.569, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 1.4759724770721283, 0.54682310140952917, 1000, 'ricesample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice') ... ok
>test_continuous_basic.test_cont_basic_slow('rice', (0.7749725210111873,), 0.01, array([ 0.389,  0.779,  0.683,  2.668,  0.876,  1.631,  2.063,  1.704,  2.117,  0.753, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), array(0.0), array(0.25), 0.027504350440163399, 0.24700849349956572, 1000, 'semicircularsample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), array(0.0), array(0.25), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular') ... ok
>test_continuous_basic.test_cont_basic_slow('semicircular', (), 0.01, array([ -7.936e-01,  -4.880e-01,  -5.675e-01,   7.739e-01,  -4.061e-01,   2.144e-01, ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), array(9.869190571234436e-17), array(0.2988042418170134), 0.033567273497364047, 0.31611620271596441, 1000, 'vonmisessample mean test') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), array(9.869190571234436e-17), array(0.2988042418170134), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.alpha_gen object at 0x1efc710>, (3.570477051665046,), 'alpha ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.alpha_gen object at 0x1efc710>, (3.570477051665046,), 'alpha isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.alpha_gen object at 0x1efc710>, (3.570477051665046,), 'alpha loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.anglit_gen object at 0x1efc850>, (), 'anglit ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.anglit_gen object at 0x1efc850>, (), 'anglit isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.anglit_gen object at 0x1efc850>, (), 'anglit loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.arcsine_gen object at 0x1efc8d0>, (), 'arcsine ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.arcsine_gen object at 0x1efc8d0>, (), 'arcsine isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.arcsine_gen object at 0x1efc8d0>, (), 'arcsine loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.beta_gen object at 0x1efcb90>, (2.3098496451481823, 0.6268795430096368), 'beta ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.beta_gen object at 0x1efcb90>, (2.3098496451481823, 0.6268795430096368), 'beta isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.beta_gen object at 0x1efcb90>, (2.3098496451481823, 0.6268795430096368), 'beta loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.betaprime_gen object at 0x1efccd0>, (5, 6), 'betaprime ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.betaprime_gen object at 0x1efccd0>, (5, 6), 'betaprime isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.betaprime_gen object at 0x1efccd0>, (5, 6), 'betaprime loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.bradford_gen object at 0x1efcd50>, (0.29891359763170633,), 'bradford ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.bradford_gen object at 0x1efcd50>, (0.29891359763170633,), 'bradford isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.bradford_gen object at 0x1efcd50>, (0.29891359763170633,), 'bradford loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.burr_gen object at 0x1efcc50>, (10.5, 4.3), 'burr ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.burr_gen object at 0x1efcc50>, (10.5, 4.3), 'burr isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.burr_gen object at 0x1efcc50>, (10.5, 4.3), 'burr loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cauchy_gen object at 0x1f06050>, (), 'cauchy ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cauchy_gen object at 0x1f06050>, (), 'cauchy isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cauchy_gen object at 0x1f06050>, (), 'cauchy loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi_gen object at 0x1f065d0>, (78,), 'chi ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi_gen object at 0x1f065d0>, (78,), 'chi isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi_gen object at 0x1f065d0>, (78,), 'chi loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi2_gen object at 0x1f06710>, (55,), 'chi2 ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi2_gen object at 0x1f06710>, (55,), 'chi2 isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.chi2_gen object at 0x1f06710>, (55,), 'chi2 loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.cosine_gen object at 0x1f06750>, (), 'cosine loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dgamma_gen object at 0x1f06850>, (1.1023326088288166,), 'dgamma ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dgamma_gen object at 0x1f06850>, (1.1023326088288166,), 'dgamma isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dgamma_gen object at 0x1f06850>, (1.1023326088288166,), 'dgamma loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dweibull_gen object at 0x1f06b90>, (2.0685080649914673,), 'dweibull ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dweibull_gen object at 0x1f06b90>, (2.0685080649914673,), 'dweibull isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.dweibull_gen object at 0x1f06b90>, (2.0685080649914673,), 'dweibull loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.erlang_gen object at 0x1f06bd0>, (20,), 'erlang ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.erlang_gen object at 0x1f06bd0>, (20,), 'erlang isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.erlang_gen object at 0x1f06bd0>, (20,), 'erlang loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.expon_gen object at 0x1f06d50>, (), 'expon ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.expon_gen object at 0x1f06d50>, (), 'expon isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.expon_gen object at 0x1f06d50>, (), 'expon loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponpow_gen object at 0x1f0c090>, (2.697119160358469,), 'exponpow ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponpow_gen object at 0x1f0c090>, (2.697119160358469,), 'exponpow isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponpow_gen object at 0x1f0c090>, (2.697119160358469,), 'exponpow loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponweib_gen object at 0x1f06dd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponweib_gen object at 0x1f06dd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.exponweib_gen object at 0x1f06dd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.f_gen object at 0x1f0c4d0>, (29, 18), 'f ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.f_gen object at 0x1f0c4d0>, (29, 18), 'f isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.f_gen object at 0x1f0c4d0>, (29, 18), 'f loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fatiguelife_gen object at 0x1f0c250>, (29,), 'fatiguelife ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fatiguelife_gen object at 0x1f0c250>, (29,), 'fatiguelife isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fatiguelife_gen object at 0x1f0c250>, (29,), 'fatiguelife loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fisk_gen object at 0x1f061d0>, (3.085754862225318,), 'fisk ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fisk_gen object at 0x1f061d0>, (3.085754862225318,), 'fisk isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.fisk_gen object at 0x1f061d0>, (3.085754862225318,), 'fisk loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldcauchy_gen object at 0x1f0c350>, (4.716467345583189,), 'foldcauchy ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldcauchy_gen object at 0x1f0c350>, (4.716467345583189,), 'foldcauchy isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldcauchy_gen object at 0x1f0c350>, (4.716467345583189,), 'foldcauchy loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldnorm_gen object at 0x1f0c650>, (1.952125337355587,), 'foldnorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldnorm_gen object at 0x1f0c650>, (1.952125337355587,), 'foldnorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.foldnorm_gen object at 0x1f0c650>, (1.952125337355587,), 'foldnorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c410>, (3.627991125558324,), 'frechet_l ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c410>, (3.627991125558324,), 'frechet_l isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c410>, (3.627991125558324,), 'frechet_l loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c7d0>, (1.8928171603534227,), 'frechet_r ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c7d0>, (1.8928171603534227,), 'frechet_r isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c7d0>, (1.8928171603534227,), 'frechet_r loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gamma_gen object at 0x1f12390>, (1.9932305483800778,), 'gamma ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gamma_gen object at 0x1f12390>, (1.9932305483800778,), 'gamma isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gamma_gen object at 0x1f12390>, (1.9932305483800778,), 'gamma loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gausshyper_gen object at 0x1f9c450>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genexpon_gen object at 0x1f120d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genextreme_gen object at 0x1f12290>, (-0.1,), 'genextreme ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genextreme_gen object at 0x1f12290>, (-0.1,), 'genextreme isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genextreme_gen object at 0x1f12290>, (-0.1,), 'genextreme loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gengamma_gen object at 0x1f12510>, (4.4162385429431925, 3.119309167924276), 'gengamma ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gengamma_gen object at 0x1f12510>, (4.4162385429431925, 3.119309167924276), 'gengamma isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gengamma_gen object at 0x1f12510>, (4.4162385429431925, 3.119309167924276), 'gengamma loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genhalflogistic_gen object at 0x1f12690>, (0.7727472780992932,), 'genhalflogistic ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genhalflogistic_gen object at 0x1f12690>, (0.7727472780992932,), 'genhalflogistic isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genhalflogistic_gen object at 0x1f12690>, (0.7727472780992932,), 'genhalflogistic loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genlogistic_gen object at 0x1f0c890>, (0.41192440799679475,), 'genlogistic ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genlogistic_gen object at 0x1f0c890>, (0.41192440799679475,), 'genlogistic isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genlogistic_gen object at 0x1f0c890>, (0.41192440799679475,), 'genlogistic loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genpareto_gen object at 0x1f0cd10>, (0.1,), 'genpareto ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genpareto_gen object at 0x1f0cd10>, (0.1,), 'genpareto isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.genpareto_gen object at 0x1f0cd10>, (0.1,), 'genpareto loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gilbrat_gen object at 0x1fa3810>, (), 'gilbrat ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gilbrat_gen object at 0x1fa3810>, (), 'gilbrat isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gilbrat_gen object at 0x1fa3810>, (), 'gilbrat loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gompertz_gen object at 0x1f12810>, (0.9474371307510525,), 'gompertz ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gompertz_gen object at 0x1f12810>, (0.9474371307510525,), 'gompertz isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gompertz_gen object at 0x1f12810>, (0.9474371307510525,), 'gompertz loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_l_gen object at 0x1f12b10>, (), 'gumbel_l ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_l_gen object at 0x1f12b10>, (), 'gumbel_l isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_l_gen object at 0x1f12b10>, (), 'gumbel_l loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_r_gen object at 0x1f12990>, (), 'gumbel_r ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_r_gen object at 0x1f12990>, (), 'gumbel_r isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.gumbel_r_gen object at 0x1f12990>, (), 'gumbel_r loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfcauchy_gen object at 0x1f12e10>, (), 'halfcauchy ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfcauchy_gen object at 0x1f12e10>, (), 'halfcauchy isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfcauchy_gen object at 0x1f12e10>, (), 'halfcauchy loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halflogistic_gen object at 0x1f12d10>, (), 'halflogistic ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halflogistic_gen object at 0x1f12d10>, (), 'halflogistic isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halflogistic_gen object at 0x1f12d10>, (), 'halflogistic loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfnorm_gen object at 0x1f12e90>, (), 'halfnorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfnorm_gen object at 0x1f12e90>, (), 'halfnorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.halfnorm_gen object at 0x1f12e90>, (), 'halfnorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.hypsecant_gen object at 0x1f9c190>, (), 'hypsecant ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.hypsecant_gen object at 0x1f9c190>, (), 'hypsecant isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.hypsecant_gen object at 0x1f9c190>, (), 'hypsecant loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgamma_gen object at 0x1f9c590>, (2.0668996136993067,), 'invgamma ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgamma_gen object at 0x1f9c590>, (2.0668996136993067,), 'invgamma isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgamma_gen object at 0x1f9c590>, (2.0668996136993067,), 'invgamma loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgauss_gen object at 0x1f9c610>, (0.14546264555347513,), 'invgauss ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgauss_gen object at 0x1f9c610>, (0.14546264555347513,), 'invgauss isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invgauss_gen object at 0x1f9c610>, (0.14546264555347513,), 'invgauss loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.invweibull_gen object at 0x1f9c710>, (10.58,), 'invweibull loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsb_gen object at 0x1f9c890>, (4.317267509914106, 3.1837781130785063), 'johnsonsb ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsb_gen object at 0x1f9c890>, (4.317267509914106, 3.1837781130785063), 'johnsonsb isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsb_gen object at 0x1f9c890>, (4.317267509914106, 3.1837781130785063), 'johnsonsb loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.johnsonsu_gen object at 0x1f9ca50>, (2.554395574161155, 2.2482281679651965), 'johnsonsu loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ksone_gen object at 0x1efc0d0>, (1000,), 'ksone loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.kstwobign_gen object at 0x1efc2d0>, (), 'kstwobign loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.laplace_gen object at 0x1f9cbd0>, (), 'laplace ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.laplace_gen object at 0x1f9cbd0>, (), 'laplace isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.laplace_gen object at 0x1f9cbd0>, (), 'laplace loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_gen object at 0x1f9cd50>, (), 'levy ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_gen object at 0x1f9cd50>, (), 'levy isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_gen object at 0x1f9cd50>, (), 'levy loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_l_gen object at 0x1f9cb10>, (), 'levy_l ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_l_gen object at 0x1f9cb10>, (), 'levy_l isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.levy_l_gen object at 0x1f9cb10>, (), 'levy_l loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loggamma_gen object at 0x1fa3390>, (0.4141193182605212,), 'loggamma ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loggamma_gen object at 0x1fa3390>, (0.4141193182605212,), 'loggamma isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loggamma_gen object at 0x1fa3390>, (0.4141193182605212,), 'loggamma loc, scale test') ... /usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:4097: RuntimeWarning: overflow encountered in exp
>  return exp(c*x-exp(x)-gamln(c))
>ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.logistic_gen object at 0x1fa33d0>, (), 'logistic ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.logistic_gen object at 0x1fa33d0>, (), 'logistic isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.logistic_gen object at 0x1fa33d0>, (), 'logistic loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loglaplace_gen object at 0x1fa3690>, (3.2505926592051435,), 'loglaplace ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loglaplace_gen object at 0x1fa3690>, (3.2505926592051435,), 'loglaplace isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.loglaplace_gen object at 0x1fa3690>, (3.2505926592051435,), 'loglaplace loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lognorm_gen object at 0x1fa36d0>, (0.9536822696057533,), 'lognorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lognorm_gen object at 0x1fa36d0>, (0.9536822696057533,), 'lognorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lognorm_gen object at 0x1fa36d0>, (0.9536822696057533,), 'lognorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lomax_gen object at 0x1fa8810>, (1.8771398388773268,), 'lomax ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lomax_gen object at 0x1fa8810>, (1.8771398388773268,), 'lomax isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.lomax_gen object at 0x1fa8810>, (1.8771398388773268,), 'lomax loc, scale test') ... /usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:4579: RuntimeWarning: invalid value encountered in sqrt
>  vals = 2*(bt+1.0)*sqrt(b-2.0)/((b-3.0)*sqrt(b))
>ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.maxwell_gen object at 0x1fa3990>, (), 'maxwell ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.maxwell_gen object at 0x1fa3990>, (), 'maxwell isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.maxwell_gen object at 0x1fa3990>, (), 'maxwell loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.mielke_gen object at 0x1fa3c90>, (10.4, 3.6), 'mielke loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nakagami_gen object at 0x1fa3dd0>, (4.967379486666624,), 'nakagami ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nakagami_gen object at 0x1fa3dd0>, (4.967379486666624,), 'nakagami isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nakagami_gen object at 0x1fa3dd0>, (4.967379486666624,), 'nakagami loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncf_gen object at 0x1fa3fd0>, (27, 27, 0.41578441799226107), 'ncf ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncf_gen object at 0x1fa3fd0>, (27, 27, 0.41578441799226107), 'ncf isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncf_gen object at 0x1fa3fd0>, (27, 27, 0.41578441799226107), 'ncf loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nct_gen object at 0x1fa8350>, (14, 0.24045031331198066), 'nct ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nct_gen object at 0x1fa8350>, (14, 0.24045031331198066), 'nct isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.nct_gen object at 0x1fa8350>, (14, 0.24045031331198066), 'nct loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncx2_gen object at 0x1fa3cd0>, (21, 1.0560465975116415), 'ncx2 ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncx2_gen object at 0x1fa3cd0>, (21, 1.0560465975116415), 'ncx2 isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.ncx2_gen object at 0x1fa3cd0>, (21, 1.0560465975116415), 'ncx2 loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.norm_gen object at 0x1efc490>, (), 'norm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.norm_gen object at 0x1efc490>, (), 'norm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.norm_gen object at 0x1efc490>, (), 'norm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pareto_gen object at 0x1fa8650>, (2.621716532144454,), 'pareto ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pareto_gen object at 0x1fa8650>, (2.621716532144454,), 'pareto isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pareto_gen object at 0x1fa8650>, (2.621716532144454,), 'pareto loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pearson3_gen object at 0x1fa86d0>, (0.1,), 'pearson3 ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pearson3_gen object at 0x1fa86d0>, (0.1,), 'pearson3 isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.pearson3_gen object at 0x1fa86d0>, (0.1,), 'pearson3 loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlaw_gen object at 0x1fa8950>, (1.659113328990585,), 'powerlaw ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlaw_gen object at 0x1fa8950>, (1.659113328990585,), 'powerlaw isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlaw_gen object at 0x1fa8950>, (1.659113328990585,), 'powerlaw loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powerlognorm_gen object at 0x1fa8ad0>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powernorm_gen object at 0x1fa8c10>, (4.445365225459078,), 'powernorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powernorm_gen object at 0x1fa8c10>, (4.445365225459078,), 'powernorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.powernorm_gen object at 0x1fa8c10>, (4.445365225459078,), 'powernorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rayleigh_gen object at 0x1fa8d10>, (), 'rayleigh ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rayleigh_gen object at 0x1fa8d10>, (), 'rayleigh isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rayleigh_gen object at 0x1fa8d10>, (), 'rayleigh loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rdist_gen object at 0x1fa85d0>, (0.9,), 'rdist loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.recipinvgauss_gen object at 0x1fb0450>, (0.6300426780936912,), 'recipinvgauss loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.reciprocal_gen object at 0x1fb0290>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.reciprocal_gen object at 0x1fb0290>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.reciprocal_gen object at 0x1fb0290>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.rice_gen object at 0x1fb0410>, (0.7749725210111873,), 'rice loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.semicircular_gen object at 0x1fb0550>, (), 'semicircular loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.t_gen object at 0x1fa8190>, (2.7433514990818093,), 't ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.t_gen object at 0x1fa8190>, (2.7433514990818093,), 't isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.t_gen object at 0x1fa8190>, (2.7433514990818093,), 't loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.triang_gen object at 0x1fb0710>, (0.15785029824528218,), 'triang ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.triang_gen object at 0x1fb0710>, (0.15785029824528218,), 'triang isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.triang_gen object at 0x1fb0710>, (0.15785029824528218,), 'triang loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncexpon_gen object at 0x1fb0a10>, (4.690772545681048,), 'truncexpon ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncexpon_gen object at 0x1fb0a10>, (4.690772545681048,), 'truncexpon isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncexpon_gen object at 0x1fb0a10>, (4.690772545681048,), 'truncexpon loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncnorm_gen object at 0x1fb0a50>, (-1.0978730080013919, 2.730675410903198), 'truncnorm ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncnorm_gen object at 0x1fb0a50>, (-1.0978730080013919, 2.730675410903198), 'truncnorm isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.truncnorm_gen object at 0x1fb0a50>, (-1.0978730080013919, 2.730675410903198), 'truncnorm loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.tukeylambda_gen object at 0x1fb0b10>, (3.1321477856738267,), 'tukeylambda ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.tukeylambda_gen object at 0x1fb0b10>, (3.1321477856738267,), 'tukeylambda isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.tukeylambda_gen object at 0x1fb0b10>, (3.1321477856738267,), 'tukeylambda loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.uniform_gen object at 0x1fb0cd0>, (), 'uniform ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.uniform_gen object at 0x1fb0cd0>, (), 'uniform isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.uniform_gen object at 0x1fb0cd0>, (), 'uniform loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.vonmises_gen object at 0x1fb0e10>, (3.99390425810714,), 'vonmises loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wald_gen object at 0x1fb6110>, (), 'wald ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wald_gen object at 0x1fb6110>, (), 'wald isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wald_gen object at 0x1fb6110>, (), 'wald loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c710>, (2.8687961709100187,), 'weibull_max ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c710>, (2.8687961709100187,), 'weibull_max isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_l_gen object at 0x1f0c710>, (2.8687961709100187,), 'weibull_max loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c950>, (1.7866166930421596,), 'weibull_min ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c950>, (1.7866166930421596,), 'weibull_min isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.frechet_r_gen object at 0x1f0c950>, (1.7866166930421596,), 'weibull_min loc, scale test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wrapcauchy_gen object at 0x1fb6210>, (0.031071279018614728,), 'wrapcauchy ppf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wrapcauchy_gen object at 0x1fb6210>, (0.031071279018614728,), 'wrapcauchy isf limit test') ... ok
>test_continuous_extra.test_cont_extra(<scipy.stats.distributions.wrapcauchy_gen object at 0x1fb6210>, (0.031071279018614728,), 'wrapcauchy loc, scale test') ... ok
>test_continuous_extra.test_540_567 ... ok
>test_discrete_basic.test_discrete_basic(0.29999999999999999, array(0.3), 'bernoulli sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(0.20999999999999627, array(0.21), 'bernoulli sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), array([0, 1]), 'bernoulli cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), -1.2380952380951449, 0.8728715609440049, 'bernoulli skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), array([0, 0, 0, ..., 1, 0, 0]), 0.01, 'bernoulli chisquare') ... ok
>test_discrete_basic.test_discrete_basic(2.0015000000000001, array(2.0), 'binom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(1.1854977500000026, array(1.2), 'binom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), array([0, 1, 2, 3, 4, 5]), 'binom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), -0.2624892922502635, 0.2805793366655662, 'binom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), array([2, 2, 2, ..., 4, 1, 3]), 0.01, 'binom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(0.32900000000000001, array(0.3273108178480401), 'boltzmann sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(0.43975900000001117, array(0.4344431884043245), 'boltzmann sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), array([0, 1, 2, 3, 4]), 'boltzmann cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 6.713365248434322, 2.418691392797208, 'boltzmann skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), array([0, 0, 0, ..., 2, 0, 0]), 0.01, 'boltzmann chisquare') ... ok
>test_discrete_basic.test_discrete_basic(0.0070000000000000001, array(7.918171118805674e-17), 'dlaplace sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(2.9319510000000588, array(2.9635341891843714), 'dlaplace sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), array([-8, -7, -6, -5, -4, -3, -2, -1,  0,  1,  2,  3,  4,  5,  6,  7]), 'dlaplace cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 3.0660776822072453, 0.021996158609059947, 'dlaplace skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(1.9870000000000001, array(2.0), 'geom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(2.0098310000000303, array(2.0), 'geom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10]), 'geom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 5.193588371665577, 2.0476504362662378, 'geom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), array([1, 1, 2, ..., 6, 1, 2]), 0.01, 'geom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(2.3860000000000001, array(2.4000000000000004), 'hypergeom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(1.1500039999999776, array(1.1917241379310344), 'hypergeom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), array([0, 1, 2, 3, 4, 5, 6]), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), -0.2968691636255203, 0.020906577365969316, 'hypergeom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), array([1, 1, 4, ..., 3, 2, 2]), 0.01, 'hypergeom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(1.724, array(1.7142857142857142), 'hypergeom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(0.65282400000000196, array(0.6612244897959184), 'hypergeom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), array([0, 1, 2, 3]), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), -0.4624347256458812, -0.18093529905213196, 'hypergeom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), array([2, 3, 2, ..., 2, 2, 1]), 0.01, 'hypergeom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(9.4184999999999999, array(9.428571428571429), 'hypergeom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(0.68435774999998666, array(0.673469387755102), 'hypergeom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), array([ 8,  9, 10, 11]), 'hypergeom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), -0.5339635245761793, 0.09360175584181686, 'hypergeom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), array([ 9,  8,  9, ..., 10, 10, 10]), 0.01, 'hypergeom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(1.635, array(1.637035001905937), 'logser sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(1.325775000000023, array(1.4127039072996714), 'logser sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), array([1, 2, 3, 4, 5, 6, 7, 8, 9]), 'logser cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 7.559198377977479, 2.494779703822059, 'logser skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), array([1, 1, 1, ..., 1, 1, 4]), 0.01, 'logser chisquare') ... ok
>test_discrete_basic.test_discrete_basic(4.9210000000000003, array(5.0), 'nbinom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(9.4787590000000037, array(10.0), 'nbinom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21]), 'nbinom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 1.5000586959708402, 0.9735851837301902, 'nbinom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), array([0, 2, 6, ..., 3, 3, 3]), 0.01, 'nbinom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(0.58399999999999996, array(0.6000000000000001), 'nbinom sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(1.4729440000000598, array(1.5000000000000002), 'nbinom sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 12]), 'nbinom cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 13.929082276070467, 3.2071528858780165, 'nbinom skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), array([0, 0, 0, ..., 0, 0, 0]), 0.01, 'nbinom chisquare') ... ok
>test_discrete_basic.test_discrete_basic(1.496, array(1.5031012098113492), 'planck sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(3.8119840000000167, array(3.7624144567476914), 'planck sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]), 'planck cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 5.0921201134828475, 1.9924056300476671, 'planck skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), array([1, 1, 1, ..., 7, 0, 2]), 0.01, 'planck chisquare') ... ok
>test_discrete_basic.test_discrete_basic(0.58550000000000002, array(0.6), 'poisson sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(0.59768974999998681, array(0.6), 'poisson sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), array([0, 1, 2, 3, 4, 5]), 'poisson cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 1.9406814436782422, 1.3589585241917534, 'poisson skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), array([0, 0, 0, ..., 1, 0, 0]), 0.01, 'poisson chisquare') ... ok
>test_discrete_basic.test_discrete_basic(18.4725, array(18.5), 'randint sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(48.800243749999929, array(47.916666666666664), 'randint sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), array([ 7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), -1.2115060412211844, -0.025412774105826177, 'randint skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), array([27, 10, 15, ..., 16,  9, 17]), 0.01, 'randint chisquare') ... ok
>test_discrete_basic.test_discrete_basic(7.0019999999999998, array(7.0), 'skellam sample mean test') ... ok
>test_discrete_basic.test_discrete_basic(22.550995999999991, array(23.0), 'skellam sample var test') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam cdf_ppf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), array([-10,  -7,  -6,  -5,  -4,  -3,  -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7, ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam pmf_cdf') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam oth') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 0.11554402415317133, 0.10806520422790773, 'skellam skew_kurt') ... ok
>test_discrete_basic.test_discrete_basic(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), array([ 4,  6, 10, ...,  5, 14, 15]), 0.01, 'skellam chisquare') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.bernoulli_gen object at 0x1fb66d0>, (0.3,), 'bernoulli entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.binom_gen object at 0x1fb64d0>, (5, 0.4), 'binom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.boltzmann_gen object at 0x1fb6c10>, (1.4, 19), 'boltzmann entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.dlaplace_gen object at 0x1fbe950>, (0.8,), 'dlaplace entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.geom_gen object at 0x1fb6cd0>, (0.5,), 'geom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (30, 12, 6), 'hypergeom entropy nan test') ... /usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:6862: RuntimeWarning: divide by zero encountered in log
>  lvals = where(vals==0.0,0.0,log(vals))
>ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 3, 12), 'hypergeom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.hypergeom_gen object at 0x1fb6e50>, (21, 18, 11), 'hypergeom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.logser_gen object at 0x1fb6f90>, (0.6,), 'logser entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (5, 0.5), 'nbinom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.nbinom_gen object at 0x1fb6b50>, (0.4, 0.4), 'nbinom entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.planck_gen object at 0x1fb6a50>, (0.51,), 'planck entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.poisson_gen object at 0x1fb6790>, (0.6,), 'poisson entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.randint_gen object at 0x1fbe610>, (7, 31), 'randint entropy nan test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam ppf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam isf limit test') ... ok
>test_discrete_basic.test_discrete_extra(<scipy.stats.distributions.skellam_gen object at 0x1fbead0>, (15, 8), 'skellam entropy nan test') ... ok
>Failure: SkipTest (Skipping test: test_discrete_privateTest skipped due to test condition) ... SKIP: Skipping test: test_discrete_privateTest skipped due to test condition
>test_noexception (test_distributions.TestArrayArgument) ... ok
>test_rvs (test_distributions.TestBernoulli) ... ok
>test_rvs (test_distributions.TestBinom) ... ok
>test_precision (test_distributions.TestChi2) ... ok
>test_rvs (test_distributions.TestDLaplace) ... ok
>See ticket #761 ... ok
>If name is not given, construction shouldn't fail.  See #1508. ... ok
>test_entropy_base (test_distributions.TestEntropy) ... ok
>See ticket #497 ... ok
>test_beta (test_distributions.TestExpect) ... ok
>test_hypergeom (test_distributions.TestExpect) ... ok
>test_norm (test_distributions.TestExpect) ... ok
>test_poisson (test_distributions.TestExpect) ... ok
>test_tail (test_distributions.TestExpon) ... ok
>test_zero (test_distributions.TestExpon) ... ok
>test_tail (test_distributions.TestExponpow) ... ok
>test_fit (test_distributions.TestFitMethod) ... /usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:1672: RuntimeWarning: invalid value encountered in double_scalars
>  tmp2 = (x - v)*(fx - fw)
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:1673: RuntimeWarning: invalid value encountered in double_scalars
>  p = (x - v)*tmp2 - (x - w)*tmp1;
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:438: RuntimeWarning: invalid value encountered in subtract
>  and numpy.max(numpy.abs(fsim[0] - fsim[1:])) <= ftol):
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:2177: RuntimeWarning: invalid value encountered in subtract
>  if (fx2 - fval) > delta:
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:2185: RuntimeWarning: invalid value encountered in subtract
>  if (2.0*(fx - fval) <= ftol*(numpy.abs(fx) + numpy.abs(fval)) + 1e-20): break
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:2357: RuntimeWarning: invalid value encountered in double_scalars
>  k = gd*g2c*g2cd - g1c**2 * g1cd**2
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:1847: RuntimeWarning: invalid value encountered in double_scalars
>  Lhat = muhat - Shat*mu
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:1142: RuntimeWarning: divide by zero encountered in log
>  return log(self._pdf(x, *args))
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:2268: RuntimeWarning: divide by zero encountered in true_divide
>  return where(b > 1, a/(b-1.0), inf)
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:2270: RuntimeWarning: divide by zero encountered in true_divide
>  return where(b > 2, a*(a+1.0)/((b-2.0)*(b-1.0)), inf)
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:1581: RuntimeWarning: invalid value encountered in subtract
>  mu2 = mu2p - mu*mu
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:1671: RuntimeWarning: invalid value encountered in double_scalars
>  tmp1 = (x - w)*(fx - fv)
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:1949: RuntimeWarning: invalid value encountered in double_scalars
>  w = xb - ((xb - xc)*tmp2 - (xb - xa)*tmp1) / denom
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:2914: RuntimeWarning: divide by zero encountered in double_scalars
>  g1 = 2*(v2+2*v1-2)/(v2-6)*sqrt((2*v2-4)/(v1*(v2+v1-2)))
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:2914: RuntimeWarning: invalid value encountered in sqrt
>  g1 = 2*(v2+2*v1-2)/(v2-6)*sqrt((2*v2-4)/(v1*(v2+v1-2)))
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:3126: RuntimeWarning: divide by zero encountered in true_divide
>  val = (-1.0/c)**n * sum(comb(n,k)*(-1)**k / (1.0-c*k),axis=0)
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:2177: RuntimeWarning: invalid value encountered in double_scalars
>  if (fx2 - fval) > delta:
>/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py:2185: RuntimeWarning: invalid value encountered in double_scalars
>  if (2.0*(fx - fval) <= ftol*(numpy.abs(fx) + numpy.abs(fval)) + 1e-20): break
>/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:3316: RuntimeWarning: invalid value encountered in log
>  return (a-1)*log(x) - x - gamln(a)
>ok
>test_fix_fit (test_distributions.TestFitMethod) ... /usr/lib64/python2.7/site-packages/scipy/stats/distributions.py:5086: RuntimeWarning: divide by zero encountered in true_divide
>  return where(x < c, 2*x/c, 2*(1-x)/(1-c))
>ok
>Regression test for #1551. ... ok
>test_gamma (test_distributions.TestFrozen) ... ok
>test_norm (test_distributions.TestFrozen) ... ok
>Regression test for ticket #1293. ... ok
>test_pdf (test_distributions.TestGamma) ... ok
>test_cdf_bounds (test_distributions.TestGenExpon) ... ok
>test_pdf_unity_area (test_distributions.TestGenExpon) ... ok
>test_cdf_sf (test_distributions.TestGeom) ... ok
>test_logpmf (test_distributions.TestGeom) ... ok
>test_pmf (test_distributions.TestGeom) ... ok
>test_rvs (test_distributions.TestGeom) ... ok
>test_precision (test_distributions.TestHypergeom) ... ok
>Test hypergeom precision for large numbers.  See #1218. ... ok
>test_rvs (test_distributions.TestHypergeom) ... ok
>test_rvs (test_distributions.TestLogser) ... ok
>test_pmf (test_distributions.TestNBinom) ... ok
>test_rvs (test_distributions.TestNBinom) ... ok
>test_cdf (test_distributions.TestPearson3) ... ok
>test_pdf (test_distributions.TestPearson3) ... ok
>test_rvs (test_distributions.TestPearson3) ... ok
>test_rvs (test_distributions.TestPoisson) ... ok
>test_cdf (test_distributions.TestRandInt) ... ok
>test_pdf (test_distributions.TestRandInt) ... ok
>test_rvs (test_distributions.TestRandInt) ... ok
>test_rvs (test_distributions.TestRvDiscrete) ... ok
>test_cdf (test_distributions.TestSkellam) ... ok
>test_pmf (test_distributions.TestSkellam) ... ok
>test_rvs (test_distributions.TestZipf) ... ok
>test_distributions.test_all_distributions('uniform', (), 0.01) ... ok
>test_distributions.test_all_distributions('norm', (), 0.01) ... ok
>test_distributions.test_all_distributions('lognorm', (1.240130407826354,), 0.01) ... ok
>test_distributions.test_all_distributions('expon', (), 0.01) ... ok
>test_distributions.test_all_distributions('beta', (1.9531293398277989, 1.3522255615155074), 0.01) ... ok
>test_distributions.test_all_distributions('powerlaw', (1.2878779148563999,), 0.01) ... ok
>test_distributions.test_all_distributions('bradford', (1.3592011972537463,), 0.01) ... ok
>test_distributions.test_all_distributions('burr', (1.946905835657891, 1.6337478522492526), 0.01) ... ok
>test_distributions.test_all_distributions('fisk', (1.6210768456186673,), 0.01) ... ok
>test_distributions.test_all_distributions('cauchy', (), 0.01) ... ok
>test_distributions.test_all_distributions('halfcauchy', (), 0.01) ... ok
>test_distributions.test_all_distributions('foldcauchy', (1.7156193503014563,), 0.01) ... ok
>test_distributions.test_all_distributions('gamma', (1.3880172353125055,), 0.01) ... ok
>test_distributions.test_all_distributions('gengamma', (1.4144179882772474, 1.650832862263345), 0.01) ... ok
>test_distributions.test_all_distributions('loggamma', (1.0015242218567202,), 0.01) ... ok
>test_distributions.test_all_distributions('alpha', (1.1923095412446758,), 0.01) ... ok
>test_distributions.test_all_distributions('anglit', (), 0.01) ... ok
>test_distributions.test_all_distributions('arcsine', (), 0.01) ... ok
>test_distributions.test_all_distributions('betaprime', (1.3344016906625016, 1.2394159601859585), 0.01) ... ok
>test_distributions.test_all_distributions('erlang', (4, 0.63739940112930027, 0.37864807032309444), 0.01) ... ok
>test_distributions.test_all_distributions('dgamma', (1.8754233917130172,), 0.01) ... ok
>test_distributions.test_all_distributions('exponweib', (1.5681514209101919, 1.4144063966836442), 0.01) ... ok
>test_distributions.test_all_distributions('exponpow', (1.4022670751190796,), 0.01) ... ok
>test_distributions.test_all_distributions('frechet_l', (1.7018296239336754,), 0.01) ... ok
>test_distributions.test_all_distributions('frechet_r', (1.4182265532924661,), 0.01) ... ok
>test_distributions.test_all_distributions('gilbrat', (), 0.01) ... ok
>test_distributions.test_all_distributions('f', (1.6621958889738173, 1.0467796859567984), 0.01) ... ok
>test_distributions.test_all_distributions('ncf', (1.4453521897188297, 1.2592269234472226, 1.1576865721223109), 0.01) ... ok
>test_distributions.test_all_distributions('chi2', (1.5275731301676148,), 0.01) ... ok
>test_distributions.test_all_distributions('chi', (1.4872656010690322,), 0.01) ... ok
>test_distributions.test_all_distributions('nakagami', (1.5614049256144269,), 0.01) ... ok
>test_distributions.test_all_distributions('genpareto', (1.7554847672586824,), 0.01) ... ok
>test_distributions.test_all_distributions('genextreme', (1.8838751542487009,), 0.01) ... ok
>test_distributions.test_all_distributions('genhalflogistic', (1.4945826703752867,), 0.01) ... ok
>test_distributions.test_all_distributions('pareto', (1.3120582464168731,), 0.01) ... ok
>test_distributions.test_all_distributions('lomax', (1.4668922353525236,), 0.01) ... ok
>test_distributions.test_all_distributions('halfnorm', (), 0.01) ... ok
>test_distributions.test_all_distributions('halflogistic', (), 0.01) ... ok
>test_distributions.test_all_distributions('fatiguelife', (1.8090458573603625,), 0.001) ... ok
>test_distributions.test_all_distributions('foldnorm', (1.8750163314802712,), 0.01) ... ok
>test_distributions.test_all_distributions('ncx2', (1.8124149323637591, 1.188001294050828), 0.01) ... ok
>test_distributions.test_all_distributions('t', (1.9994203594553304,), 0.01) ... ok
>test_distributions.test_all_distributions('nct', (1.6330887599183004, 1.0834670501757293), 0.01) ... ok
>test_distributions.test_all_distributions('weibull_min', (1.7255543554613124,), 0.01) ... ok
>test_distributions.test_all_distributions('weibull_max', (1.9868214802051281,), 0.01) ... ok
>test_distributions.test_all_distributions('dweibull', (1.4018168222125436,), 0.01) ... ok
>test_distributions.test_all_distributions('maxwell', (), 0.01) ... ok
>test_distributions.test_all_distributions('rayleigh', (), 0.01) ... ok
>test_distributions.test_all_distributions('genlogistic', (1.6785150052419682,), 0.01) ... ok
>test_distributions.test_all_distributions('logistic', (), 0.01) ... ok
>test_distributions.test_all_distributions('gumbel_l', (), 0.01) ... ok
>test_distributions.test_all_distributions('gumbel_r', (), 0.01) ... ok
>test_distributions.test_all_distributions('gompertz', (1.3161771372213424,), 0.01) ... ok
>test_distributions.test_all_distributions('hypsecant', (), 0.01) ... ok
>test_distributions.test_all_distributions('laplace', (), 0.01) ... ok
>test_distributions.test_all_distributions('reciprocal', (0.21352466206469611, 1.213524662064696), 0.01) ... ok
>test_distributions.test_all_distributions('triang', (0.0023575647193538884,), 0.01) ... ok
>test_distributions.test_all_distributions('tukeylambda', (1.8227314105314156,), 0.01) ... ok
>test_distributions.test_all_distributions('vonmises', (10,), 0.01) ... ok
>test_distributions.test_all_distributions('vonmises', (101,), 0.01) ... ok
>test_distributions.test_all_distributions('vonmises', (1.5283459768597929,), 0.01) ... ok
>test_distributions.test_all_distributions('pearson3', (1.0977843418006592,), 0.01) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 0) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 1) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 3.141592653589793) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 10) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 100) ... ok
>test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 100) ... ok
>Regression test for #1191 ... ok
>test_distributions.TestArgsreduce ... ok
>Regression test for ticket #1316. ... ok
>Regression test for ticket #1326. ... ok
>Make sure that Tukey-Lambda distribution correctly handles non-positive lambdas. ... ok
>Regression test for ticket #1421 - correction discrete docs. ... ok
>test_distributions.test_nan_arguments_ticket_835 ... ok
>test_distributions.test_frozen_fit_ticket_1536 ... ok
>Check the starting value works for Cauchy distribution fit. ... ok
>Some test for the variance and kurtosis of the Tukey Lambda distr. ... ok
>Regression test for #1436, poisson.logpmf precision. ... ok
>Test the powerlaw stats function. ... ok
>test_distributions.test_ksone_fit_freeze ... ok
>Test precision of the logcdf of the normal distribution. ... ok
>test_distributions.test_hypergeom_interval_1802 ... ok
>test_distributions.test_distribution_too_many_args ... ok
>test_distributions.test_ncx2_tails_ticket_955 ... ok
>test_kdeoth.test_kde_1d ... ok
>test_kdeoth.test_kde_bandwidth_method ... ok
>test_kdeoth.test_gaussian_kde_subclassing ... ok
>test_kdeoth.test_gaussian_kde_covariance_caching ... ok
>Ugly, but people may rely on this.  See scipy pull request 123, ... ok
>Regression test for #1181. ... ok
>test_bad_arg (test_morestats.TestAnderson) ... ok
>test_expon (test_morestats.TestAnderson) ... ok
>test_normal (test_morestats.TestAnderson) ... ok
>test_approx (test_morestats.TestAnsari) ... ok
>test_bad_arg (test_morestats.TestAnsari) ... ok
>test_exact (test_morestats.TestAnsari) ... ok
>test_small (test_morestats.TestAnsari) ... ok
>Too few args raises ValueError. ... ok
>test_data (test_morestats.TestBartlett) ... ok
>Length of x must be 1 or 2. ... ok
>len(x) is 1, but n is invalid. ... ok
>test_bad_p (test_morestats.TestBinomP) ... ok
>test_data (test_morestats.TestBinomP) ... ok
>test_basic (test_morestats.TestFindRepeats) ... ok
>test_bad_center_value (test_morestats.TestFligner) ... ok
>test_bad_keyword (test_morestats.TestFligner) ... ok
>Too few args raises ValueError. ... ok
>test_data (test_morestats.TestFligner) ... ok
>Test that center='trimmed' gives the same result as center='mean' when proportiontocut=0. ... ok
>test_trimmed2 (test_morestats.TestFligner) ... ok
>test_bad_center_value (test_morestats.TestLevene) ... ok
>test_bad_keyword (test_morestats.TestLevene) ... ok
>test_data (test_morestats.TestLevene) ... ok
>test_equal_mean_median (test_morestats.TestLevene) ... ok
>test_too_few_args (test_morestats.TestLevene) ... ok
>Test that center='trimmed' gives the same result as center='mean' when proportiontocut=0. ... ok
>test_trimmed2 (test_morestats.TestLevene) ... ok
>test_bad_arg (test_morestats.TestShapiro) ... ok
>test_basic (test_morestats.TestShapiro) ... ok
>test_morestats.test_mood ... ok
>Raise ValueError when the sum of the lengths of the args is less than 3. ... ok
>Raise ValueError is fewer than two args are given. ... ok
>Raise ValueError when two args of different lengths are given or ... ok
>Raise ValueError if fewer than two data points are given. ... ok
>Raise ValueError if n > 4 or n > 1. ... ok
>Raise ValueError is n is not 1 or 2. ... ok
>Raise ValueError when given an invalid distribution. ... ok
>Raise ValueError when given an invalid distribution. ... ok
>Raise ValueError if any data value is negative. ... ok
>test_morestats.test_circstats ... ok
>test_morestats.test_circmean_axis ... ok
>test_morestats.test_circvar_axis ... ok
>test_morestats.test_circstd_axis ... ok
>test_morestats.test_circstats_small ... ok
>test_morestats.test_accuracy_wilcoxon ... ok
>Tests some computations of Kendall's tau ... ok
>Tests the seasonal Kendall tau. ... ok
>Tests some computations of Pearson's r ... ok
>Tests point biserial ... ok
>Tests some computations of Spearman's rho ... ok
>test_1D (test_mstats_basic.TestGMean) ... ok
>test_2D (test_mstats_basic.TestGMean) ... ok
>test_1D (test_mstats_basic.TestHMean) ... ok
>test_2D (test_mstats_basic.TestHMean) ... ok
>Tests the Friedman Chi-square test ... ok
>Tests the Kolmogorov-Smirnov 2 samples test ... ok
>Tests Obrien transform ... ok
>test_kurtosis (test_mstats_basic.TestMoments) ... ok
>test_mode (test_mstats_basic.TestMoments) ... ok
>test_moment (test_mstats_basic.TestMoments) ... ok
>test_skewness (test_mstats_basic.TestMoments) ... ok
>test_variation (test_mstats_basic.TestMoments) ... ok
>Ticket #867 ... ok
>test_2D (test_mstats_basic.TestPercentile) ... ok
>test_percentile (test_mstats_basic.TestPercentile) ... ok
>test_ranking (test_mstats_basic.TestRanking) ... ok
>Tests trimming ... ok
>Tests trimming. ... ok
>Tests the trimmed mean standard error. ... ok
>Tests the trimmed mean. ... ok
>Tests the Winsorization of the data. ... ok
>this is not in R, so used ... ok
>this is not in R, so used ... ok
>not in R, so tested by using ... ok
>not in R, so tested by using ... ok
>Regress a line with sinusoidal noise. Test for #1273. ... ok
>Regression test for #1256 ... ok
>Tests ideal-fourths ... ok
>Tests the Marits-Jarrett estimator ... ok
>Tests the confidence intervals of the trimmed mean. ... ok
>test_hdquantiles (test_mstats_extras.TestQuantiles) ... ok
>Basic tests of stats.rankdata. ... ok
>stats.rankdata([]) should return an empty array. ... ok
>test_large_int (test_rank.TestRankData) ... ok
>Check stats.rankdata with an array of length 1. ... ok
>Check a few basic examples of the tie correction factor. ... ok
>An empty array requires no correction, should return 1.0. ... ok
>Arrays with no ties require no correction. ... ok
>A single element requires no correction, should return 1.0. ... ok
>test_tmeanX (test_stats.TestBasicStats) ... ok
>test_tstdX (test_stats.TestBasicStats) ... ok
>test_tvarX (test_stats.TestBasicStats) ... ok
>test_basic (test_stats.TestCMedian) ... ok
>test_pBIGBIG (test_stats.TestCorrPearsonr) ... ok
>test_pBIGHUGE (test_stats.TestCorrPearsonr) ... ok
>test_pBIGLITTLE (test_stats.TestCorrPearsonr) ... ok
>test_pBIGROUND (test_stats.TestCorrPearsonr) ... ok
>test_pBIGTINY (test_stats.TestCorrPearsonr) ... ok
>test_pHUGEHUGE (test_stats.TestCorrPearsonr) ... ok
>test_pHUGEROUND (test_stats.TestCorrPearsonr) ... ok
>test_pHUGETINY (test_stats.TestCorrPearsonr) ... ok
>test_pLITTLEHUGE (test_stats.TestCorrPearsonr) ... ok
>test_pLITTLELITTLE (test_stats.TestCorrPearsonr) ... ok
>test_pLITTLEROUND (test_stats.TestCorrPearsonr) ... ok
>test_pLITTLETINY (test_stats.TestCorrPearsonr) ... ok
>test_pROUNDROUND (test_stats.TestCorrPearsonr) ... ok
>test_pTINYROUND (test_stats.TestCorrPearsonr) ... ok
>test_pTINYTINY (test_stats.TestCorrPearsonr) ... ok
>test_pXBIG (test_stats.TestCorrPearsonr) ... ok
>test_pXHUGE (test_stats.TestCorrPearsonr) ... ok
>test_pXLITTLE (test_stats.TestCorrPearsonr) ... ok
>test_pXROUND (test_stats.TestCorrPearsonr) ... ok
>test_pXTINY (test_stats.TestCorrPearsonr) ... ok
>test_pXX (test_stats.TestCorrPearsonr) ... ok
>test_r_exactly_neg1 (test_stats.TestCorrPearsonr) ... ok
>test_r_exactly_pos1 (test_stats.TestCorrPearsonr) ... ok
>test_sBIGBIG (test_stats.TestCorrSpearmanr) ... ok
>test_sBIGHUGE (test_stats.TestCorrSpearmanr) ... ok
>test_sBIGLITTLE (test_stats.TestCorrSpearmanr) ... ok
>test_sBIGROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sBIGTINY (test_stats.TestCorrSpearmanr) ... ok
>test_sHUGEHUGE (test_stats.TestCorrSpearmanr) ... ok
>test_sHUGEROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sHUGETINY (test_stats.TestCorrSpearmanr) ... ok
>test_sLITTLEHUGE (test_stats.TestCorrSpearmanr) ... ok
>test_sLITTLELITTLE (test_stats.TestCorrSpearmanr) ... ok
>test_sLITTLEROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sLITTLETINY (test_stats.TestCorrSpearmanr) ... ok
>test_sROUNDROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sTINYROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sTINYTINY (test_stats.TestCorrSpearmanr) ... ok
>test_sXBIG (test_stats.TestCorrSpearmanr) ... ok
>test_sXHUGE (test_stats.TestCorrSpearmanr) ... ok
>test_sXLITTLE (test_stats.TestCorrSpearmanr) ... ok
>test_sXROUND (test_stats.TestCorrSpearmanr) ... ok
>test_sXTINY (test_stats.TestCorrSpearmanr) ... ok
>test_sXX (test_stats.TestCorrSpearmanr) ... ok
>test_tie1 (test_stats.TestCorrSpearmanrTies) ... ok
>A test of stats.f_oneway, with F=2. ... ok
>A trivial test of stats.f_oneway, with F=0. ... ok
>test_basic (test_stats.TestFisherExact) ... ok
>test_large_numbers (test_stats.TestFisherExact) ... ok
>test_less_greater (test_stats.TestFisherExact) ... ok
>test_precise (test_stats.TestFisherExact) ... ok
>test_raises (test_stats.TestFisherExact) ... ok
>test_row_or_col_zero (test_stats.TestFisherExact) ... ok
>test_1D_array (test_stats.TestGMean) ... ok
>test_1D_list (test_stats.TestGMean) ... ok
>test_2D_array_default (test_stats.TestGMean) ... ok
>test_2D_array_dim1 (test_stats.TestGMean) ... ok
>test_large_values (test_stats.TestGMean) ... ok
>Test a 1d array ... ok
>Test a 1d array with zero element ... ok
>Test a 1d list ... ok
>Test a 1d list with zero element ... ok
>Test a 1d masked array ... ok
>Test a 1d masked array with zero element ... ok
>Test a 1d masked array with negative element ... ok
>Test a 1d masked array with a masked value ... ok
>Test a 2d array ... ok
>Test a 2d list with axis=0 ... ok
>Test a 2d list with axis=1 ... ok
>Test a 2d list ... ok
>Test a 2d masked array ... ok
>Test a 2d list with axis=1 ... ok
>Test a 2d list with axis=0 ... ok
>test_1D_array (test_stats.TestHMean) ... ok
>test_1D_list (test_stats.TestHMean) ... ok
>test_2D_array_default (test_stats.TestHMean) ... ok
>test_2D_array_dim1 (test_stats.TestHMean) ... ok
>Test a 1d array ... ok
>Test a 1d list ... ok
>Test a 1d masked array ... ok
>Test a 1d masked array with a masked value ... ok
>Test a 2d array ... ok
>Test a 2d list with axis=0 ... ok
>Test a 2d list with axis=1 ... ok
>Test a 2d list ... ok
>Test a 2d masked array ... ok
>Test a 2d list with axis=1 ... ok
>Test a 2d list with axis=0 ... ok
>Tests that increasing the number of bins produces expected results ... ok
>Tests that reducing the number of bins produces expected results ... ok
>Tests that each of the tests works as expected with default params ... ok
>Tests that weights give expected histograms ... ok
>test_jarque_bera_array_like (test_stats.TestJarqueBera) ... ok
>test_jarque_bera_size (test_stats.TestJarqueBera) ... ok
>test_jarque_bera_stats (test_stats.TestJarqueBera) ... ok
>Another test of stats.kruskal with a tie. ... ok
>A basic test, with no ties. ... ok
>A really simple case for stats.kruskal ... ok
>A simple case with a tie. ... ok
>A test of stats.kruskal with three groups, with ties. ... ok
>test_basic (test_stats.TestMode) ... ok
>sum((testcase-mean(testcase,axis=0))**4,axis=0)/((sqrt(var(testcase)*3/4))**4)/4 ... ok
>test_kurtosis_array_scalar (test_stats.TestMoments) ... ok
>mean((testcase-mean(testcase))**power,axis=0),axis=0))**power)) ... ok
>sum((testmathworks-mean(testmathworks,axis=0))**3,axis=0)/ ... ok
>`skew` must return a scalar for 1-dim input ... ok
>variation = samplestd/mean ... ok
>Check nanmean when all values are nan. ... ok
>Check nanmean when no values are nan. ... ok
>Check nanmean when some values only are nan. ... ok
>Check nanmedian when all values are nan. ... ok
>Check nanmedian when no values are nan. ... ok
>Check nanmedian for scalar inputs. See ticket #1098. ... ok
>Check nanmedian when some values only are nan. ... ok
>Check nanstd when all values are nan. ... ok
>test_nanstd_negative_axis (test_stats.TestNanFunc) ... ok
>Check nanstd when no values are nan. ... ok
>Check nanstd when some values only are nan. ... ok
>compared with multivariate ols with pinv ... ok
>W.II.F.  Regress BIG on X. ... ok
>W.IV.B.  Regress X on X. ... ok
>W.IV.D. Regress ZERO on X. ... ok
>Check that a single input argument to linregress with wrong shape ... ok
>Regress a line with sinusoidal noise. ... ok
>test_regress_simple_negative_cor (test_stats.TestRegression) ... ok
>Regress a line with sinusoidal noise, with a single input of shape ... ok
>Regress a line with sinusoidal noise, with a single input of shape ... ok
>W.II.A.0. Print ROUND with only one digit. ... ok
>W.II.A.1. Y = INT(2.6*7 -0.2) (Y should be 18) ... ok
>W.II.A.2. Y = 2-INT(EXP(LOG(SQR(2)*SQR(2))))   (Y should be 0) ... ok
>W.II.A.3. Y = INT(3-EXP(LOG(SQR(2)*SQR(2))))    (Y should be 1) ... ok
>test_2D (test_stats.TestScoreatpercentile) ... ok
>test_axis (test_stats.TestScoreatpercentile) ... ok
>test_basic (test_stats.TestScoreatpercentile) ... ok
>test_exception (test_stats.TestScoreatpercentile) ... ok
>test_fraction (test_stats.TestScoreatpercentile) ... ok
>test_lower_higher (test_stats.TestScoreatpercentile) ... ok
>test_sequence (test_stats.TestScoreatpercentile) ... ok
>test_stats.TestSigamClip.test_sigmaclip1 ... ok
>test_stats.TestSigamClip.test_sigmaclip2 ... ok
>test_stats.TestSigamClip.test_sigmaclip3 ... ok
>test_onesample (test_stats.TestStudentTest) ... ok
>test_basic (test_stats.TestThreshold) ... ok
>this is not in R, so used ... ok
>this is not in R, so used ... ok
>not in R, so tested by using ... ok
>Test use of 'axis' keyword in zmap. ... ok
>Test use of 'ddof' keyword in zmap. ... ok
>not in R, so tested by using ... ok
>Test use of 'axis' keyword in zscore. ... ok
>Test use of 'ddof' keyword in zscore. ... ok
>test_stats.Test_Trim.test_trim1 ... ok
>test_stats.Test_Trim.test_trim_mean ... ok
>test_stats.Test_Trim.test_trimboth ... ok
>Some tests for kendalltau. ... ok
>test_stats.test_cumfreq ... ok
>test_stats.test_relfreq ... ok
>test_stats.test_percentileofscore(35.0, 35.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(40.0, 40.0) ... ok
>test_stats.test_percentileofscore(45.0, 45.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(50.0, 50.0) ... ok
>test_stats.test_percentileofscore(40.0, 40.0) ... ok
>test_stats.test_percentileofscore(50.0, 50.0) ... ok
>test_stats.test_percentileofscore(45.0, 45.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(60.0, 60.0) ... ok
>test_stats.test_percentileofscore(30.0, 30) ... ok
>test_stats.test_percentileofscore(30.0, 30) ... ok
>test_stats.test_percentileofscore(30.0, 30) ... ok
>test_stats.test_percentileofscore(30.0, 30) ... ok
>test_stats.test_percentileofscore(35.0, 35.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(40.0, 40.0) ... ok
>test_stats.test_percentileofscore(45.0, 45.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(60.0, 60.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(30.0, 30.0) ... ok
>test_stats.test_percentileofscore(10.0, 10.0) ... ok
>test_stats.test_percentileofscore(5.0, 5.0) ... ok
>test_stats.test_percentileofscore(0.0, 0.0) ... ok
>test_stats.test_percentileofscore(10.0, 10.0) ... ok
>test_stats.test_percentileofscore(100.0, 100.0) ... ok
>test_stats.test_percentileofscore(95.0, 95.0) ... ok
>test_stats.test_percentileofscore(90.0, 90.0) ... ok
>test_stats.test_percentileofscore(100.0, 100.0) ... ok
>test_stats.test_percentileofscore(100.0, 100.0) ... ok
>test_stats.test_percentileofscore(100.0, 100.0) ... ok
>test_stats.test_percentileofscore(0.0, 0.0) ... ok
>test_stats.test_friedmanchisquare ... ok
>test_stats.test_kstest ... ok
>test_stats.test_ks_2samp ... ok
>test_stats.test_ttest_rel ... ok
>test_stats.test_ttest_ind ... ok
>test_stats.test_ttest_ind_with_uneq_var ... ok
>test_stats.test_ttest_1samp_new ... ok
>test_stats.test_describe ... ok
>test_stats.test_normalitytests((3.9237191815818493, 0.14059672529747549), (3.92371918, 0.14059673)) ... ok
>test_stats.test_normalitytests((1.9807882609087573, 0.047615023828432253), (1.98078826, 0.04761502)) ... ok
>test_stats.test_normalitytests((-0.014037344047597383, 0.98880018772590561), (-0.01403734, 0.98880019)) ... ok
>Regression test for ticket #1492. ... ok
>Regression test for ticket #1425. ... ok
>test_stats.test_pointbiserial ... ok
>test_stats.test_obrientransform ... ok
>test_stats.test_binomtest ... ok
>Compare results with some known exact formulas. ... ok
>Compare results with some values that were computed using mpmath. ... ok
>Test values of lambda outside the domains of the functions. ... ok
>convert simple expr to blitz ... ok
>convert fdtd equation to blitz. ... ok
>convert simple expr to blitz ... ok
>result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1] ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>ok
>result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1] ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b31.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b31.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>ok
>result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1] ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b30.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b31.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b31.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b32.cpp:23:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
>                 from /usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
>                 from /root/.python27_compiled/m1/sc_79e03ee03f40ac7d3c0a8e2e60b8195bb199f6e96acb7a6e3e86f14705d9b4b32.cpp:11:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function âbool blitz::Range::isAscendingContiguous() constâ:
>/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around â&&â within â||â [-Wparentheses]
>         return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
>                                  ^
>ok
>bad path should return same as default (and warn) ... ok
>make sure it handles relative values. ... ok
>default behavior is to return current directory ... ok
>make sure it handles relative values ... ok
>test_simple (test_build_tools.TestConfigureSysArgv) ... ok
>bad path should return same as default (and warn) ... ok
>make sure it handles relative values. ... ok
>default behavior returns tempdir ... ok
>make sure it handles relative values ... ok
>test_call_function (test_c_spec.CallableConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_2b46deee6f1e6430a8dce5895498db29ce4d96300c38ed21cfdb084ed4c038150.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex_return (test_c_spec.ComplexConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_c_spec.ComplexConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.ComplexConverter) ... ok
>test_type_match_float (test_c_spec.ComplexConverter) ... ok
>test_type_match_int (test_c_spec.ComplexConverter) ... ok
>test_type_match_string (test_c_spec.ComplexConverter) ... ok
>test_return (test_c_spec.DictConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d20.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d20.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d20.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.DictConverter) ... ok
>test_type_match_good (test_c_spec.DictConverter) ... ok
>test_var_in (test_c_spec.DictConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e60.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e60.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e60.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_file_to_py (test_c_spec.FileConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_118183af37296a78943145d3f2ebeffaf5e6165a905aeea0be561c34ad37982f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_py_to_file (test_c_spec.FileConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_74c86ccd864cec7b7885715ec1c7760051ab144b9e31998e8d65093338b984420.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_float_return (test_c_spec.FloatConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e940.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e940.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e940.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_float_var_in (test_c_spec.FloatConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be0.cpp:632:16: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         double a = convert_to_float(py_a,"a");
>                ^
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.FloatConverter) ... ok
>test_type_match_float (test_c_spec.FloatConverter) ... ok
>test_type_match_int (test_c_spec.FloatConverter) ... ok
>test_type_match_string (test_c_spec.FloatConverter) ... ok
>test_int_return (test_c_spec.IntConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe150.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe150.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe150.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.IntConverter) ... ok
>test_type_match_float (test_c_spec.IntConverter) ... ok
>test_type_match_int (test_c_spec.IntConverter) ... ok
>test_type_match_string (test_c_spec.IntConverter) ... ok
>test_var_in (test_c_spec.IntConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e0.cpp:632:13: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         int a = convert_to_int(py_a,"a");
>             ^
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.ListConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13710.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13710.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13710.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_speed (test_c_spec.ListConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b0.cpp: In function âPyObject* with_cxx(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b0.cpp: In function âPyObject* no_checking(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b0.cpp:673:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.ListConverter) ... ok
>test_type_match_good (test_c_spec.ListConverter) ... ok
>test_var_in (test_c_spec.ListConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f90.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f90.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f90.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_convert_to_dict (test_c_spec.SequenceConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_list (test_c_spec.SequenceConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_string (test_c_spec.SequenceConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc2.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_tuple (test_c_spec.SequenceConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc3.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_return (test_c_spec.StringConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_7d5948a4e3f7a39e533748cfc4e693ac002a08f52595c222a4ad896021c581ca0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_type_match_complex (test_c_spec.StringConverter) ... ok
>test_type_match_float (test_c_spec.StringConverter) ... ok
>test_type_match_int (test_c_spec.StringConverter) ... ok
>test_type_match_string (test_c_spec.StringConverter) ... ok
>test_var_in (test_c_spec.StringConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_b455fc09eef7dd22548a3d6de76f2232037b3162ac0b6a16f50371b931c496560.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_call_function (test_c_spec.TestCallableConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_2b46deee6f1e6430a8dce5895498db29ce4d96300c38ed21cfdb084ed4c038151.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_call_function (test_c_spec.TestCallableConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_2b46deee6f1e6430a8dce5895498db29ce4d96300c38ed21cfdb084ed4c038152.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex_return (test_c_spec.TestComplexConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_c_spec.TestComplexConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestComplexConverterGcc) ... ok
>test_type_match_float (test_c_spec.TestComplexConverterGcc) ... ok
>test_type_match_int (test_c_spec.TestComplexConverterGcc) ... ok
>test_type_match_string (test_c_spec.TestComplexConverterGcc) ... ok
>test_complex_return (test_c_spec.TestComplexConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_c_spec.TestComplexConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestComplexConverterUnix) ... ok
>test_type_match_float (test_c_spec.TestComplexConverterUnix) ... ok
>test_type_match_int (test_c_spec.TestComplexConverterUnix) ... ok
>test_type_match_string (test_c_spec.TestComplexConverterUnix) ... ok
>test_return (test_c_spec.TestDictConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_aff8d08ed0cf28b6980e4ac9a03c077b40934551f68bff9d7fa0db9570dad8f30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_aff8d08ed0cf28b6980e4ac9a03c077b40934551f68bff9d7fa0db9570dad8f30.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_aff8d08ed0cf28b6980e4ac9a03c077b40934551f68bff9d7fa0db9570dad8f30.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestDictConverterGcc) ... ok
>test_type_match_good (test_c_spec.TestDictConverterGcc) ... ok
>test_var_in (test_c_spec.TestDictConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_110dfff1e1b85a6a25de2e96016fe2f18c090c0036d84ed78b8112c12b406a970.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_110dfff1e1b85a6a25de2e96016fe2f18c090c0036d84ed78b8112c12b406a970.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_110dfff1e1b85a6a25de2e96016fe2f18c090c0036d84ed78b8112c12b406a970.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.TestDictConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d21.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d21.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_e21c8e1d0f0ec6ccbf0e457aba7ac314a94bd6a3d0ffae123647a68f14dc01d21.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestDictConverterUnix) ... ok
>test_type_match_good (test_c_spec.TestDictConverterUnix) ... ok
>test_var_in (test_c_spec.TestDictConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e61.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e61.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_6f25a626a0cf6429410ff5291692df0d46df26fcbc7c8e8412b7c7f5dc7d07e61.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_file_to_py (test_c_spec.TestFileConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_118183af37296a78943145d3f2ebeffaf5e6165a905aeea0be561c34ad37982f1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_py_to_file (test_c_spec.TestFileConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_74c86ccd864cec7b7885715ec1c7760051ab144b9e31998e8d65093338b984421.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_file_to_py (test_c_spec.TestFileConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_118183af37296a78943145d3f2ebeffaf5e6165a905aeea0be561c34ad37982f2.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_py_to_file (test_c_spec.TestFileConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_74c86ccd864cec7b7885715ec1c7760051ab144b9e31998e8d65093338b984422.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_float_return (test_c_spec.TestFloatConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_739b7e080840ac76bc06da14cf5ed4e428f33c4eb7f310bca85d92b3fdd7f3290.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_739b7e080840ac76bc06da14cf5ed4e428f33c4eb7f310bca85d92b3fdd7f3290.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_739b7e080840ac76bc06da14cf5ed4e428f33c4eb7f310bca85d92b3fdd7f3290.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_float_var_in (test_c_spec.TestFloatConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_c46c2cf0be9c9645de586d85972a4ba04bf62a256301a580bd783b72ac7a9f110.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_c46c2cf0be9c9645de586d85972a4ba04bf62a256301a580bd783b72ac7a9f110.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_c46c2cf0be9c9645de586d85972a4ba04bf62a256301a580bd783b72ac7a9f110.cpp:632:16: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         double a = convert_to_float(py_a,"a");
>                ^
>/tmp/tmpMv6Odq/sc_c46c2cf0be9c9645de586d85972a4ba04bf62a256301a580bd783b72ac7a9f110.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestFloatConverterGcc) ... ok
>test_type_match_float (test_c_spec.TestFloatConverterGcc) ... ok
>test_type_match_int (test_c_spec.TestFloatConverterGcc) ... ok
>test_type_match_string (test_c_spec.TestFloatConverterGcc) ... ok
>test_float_return (test_c_spec.TestFloatConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e941.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e941.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_d7645299b8b75a43ad3a0a79d3b13729cb66e573dbc3d1ed18cbab0421224e941.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_float_var_in (test_c_spec.TestFloatConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be1.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be1.cpp:632:16: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         double a = convert_to_float(py_a,"a");
>                ^
>/tmp/tmpMv6Odq/sc_fd500fbae841557b1855bc505520772093dc81e5a29b1aa297192322937498be1.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestFloatConverterUnix) ... ok
>test_type_match_float (test_c_spec.TestFloatConverterUnix) ... ok
>test_type_match_int (test_c_spec.TestFloatConverterUnix) ... ok
>test_type_match_string (test_c_spec.TestFloatConverterUnix) ... ok
>test_int_return (test_c_spec.TestIntConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_8c59889ed66bf1c1b9ac214ebd417e9e0c42e5783d65df81d744b67cbbbc273d0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_8c59889ed66bf1c1b9ac214ebd417e9e0c42e5783d65df81d744b67cbbbc273d0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_8c59889ed66bf1c1b9ac214ebd417e9e0c42e5783d65df81d744b67cbbbc273d0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestIntConverterGcc) ... ok
>test_type_match_float (test_c_spec.TestIntConverterGcc) ... ok
>test_type_match_int (test_c_spec.TestIntConverterGcc) ... ok
>test_type_match_string (test_c_spec.TestIntConverterGcc) ... ok
>test_var_in (test_c_spec.TestIntConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_a7dbb78899d406b873b8cc4264db771e11d74263b94b3b3064610b838bf8e4d00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_a7dbb78899d406b873b8cc4264db771e11d74263b94b3b3064610b838bf8e4d00.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_a7dbb78899d406b873b8cc4264db771e11d74263b94b3b3064610b838bf8e4d00.cpp:632:13: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         int a = convert_to_int(py_a,"a");
>             ^
>/tmp/tmpMv6Odq/sc_a7dbb78899d406b873b8cc4264db771e11d74263b94b3b3064610b838bf8e4d00.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_int_return (test_c_spec.TestIntConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe151.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe151.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_eb39cfe37d77f933ae58fa1c079a42614a564d35327995086b69ced0f61ebe151.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_complex (test_c_spec.TestIntConverterUnix) ... ok
>test_type_match_float (test_c_spec.TestIntConverterUnix) ... ok
>test_type_match_int (test_c_spec.TestIntConverterUnix) ... ok
>test_type_match_string (test_c_spec.TestIntConverterUnix) ... ok
>test_var_in (test_c_spec.TestIntConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e1.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e1.cpp:632:13: warning: variable âaâ set but not used [-Wunused-but-set-variable]
>         int a = convert_to_int(py_a,"a");
>             ^
>/tmp/tmpMv6Odq/sc_a75bdac84e540cfecdfeb7ee5c6200d61f37c6ff73eb8b523eab64b85571468e1.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.TestListConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_33b659d411bdd5f9991f5b4b320142f94cecf97a3884196d7c9babb91b3d03140.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_33b659d411bdd5f9991f5b4b320142f94cecf97a3884196d7c9babb91b3d03140.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_33b659d411bdd5f9991f5b4b320142f94cecf97a3884196d7c9babb91b3d03140.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_speed (test_c_spec.TestListConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_687ab924f5fcde17954398148fd6b03fc82e401af0f752cad4910970dbe99b6e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_687ab924f5fcde17954398148fd6b03fc82e401af0f752cad4910970dbe99b6e0.cpp: In function âPyObject* with_cxx(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_687ab924f5fcde17954398148fd6b03fc82e401af0f752cad4910970dbe99b6e0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>/tmp/tmpMv6Odq/sc_687ab924f5fcde17954398148fd6b03fc82e401af0f752cad4910970dbe99b6e0.cpp: In function âPyObject* no_checking(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_687ab924f5fcde17954398148fd6b03fc82e401af0f752cad4910970dbe99b6e0.cpp:673:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestListConverterGcc) ... ok
>test_type_match_good (test_c_spec.TestListConverterGcc) ... ok
>test_var_in (test_c_spec.TestListConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_363223d70cb84de71864f778c60fb8d5e2459cf8adcffadf48c63c0fe96273a00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_363223d70cb84de71864f778c60fb8d5e2459cf8adcffadf48c63c0fe96273a00.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_363223d70cb84de71864f778c60fb8d5e2459cf8adcffadf48c63c0fe96273a00.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.TestListConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13711.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13711.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_73998d2907034db551d7224f23a03cfd2ce1c3d9d9c87710536bf8115dbb13711.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_speed (test_c_spec.TestListConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b1.cpp: In function âPyObject* with_cxx(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b1.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b1.cpp: In function âPyObject* no_checking(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_df1878a4d199735e2bb647661897e1d8882c40080bbd9a0c4a1df883c136ee0b1.cpp:673:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestListConverterUnix) ... ok
>test_type_match_good (test_c_spec.TestListConverterUnix) ... ok
>test_var_in (test_c_spec.TestListConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f91.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f91.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_e99755b3fec46d11827cee6c993302c127899d8cf5b11899358ad17eeab9a1f91.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_convert_to_dict (test_c_spec.TestSequenceConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc4.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_list (test_c_spec.TestSequenceConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc5.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_string (test_c_spec.TestSequenceConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc6.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_tuple (test_c_spec.TestSequenceConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc7.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_dict (test_c_spec.TestSequenceConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc8.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_list (test_c_spec.TestSequenceConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc9.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_string (test_c_spec.TestSequenceConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc10.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_convert_to_tuple (test_c_spec.TestSequenceConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/sc_f4807d12f046212f128954779c0f9ab87724f04f4fafe5b0f0f5b676037552bc11.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_return (test_c_spec.TestStringConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_2c0e2dab4fa981f37f6fc12a459fe0da518290d6ecb9e81f801d2080315d8d750.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_type_match_complex (test_c_spec.TestStringConverterGcc) ... ok
>test_type_match_float (test_c_spec.TestStringConverterGcc) ... ok
>test_type_match_int (test_c_spec.TestStringConverterGcc) ... ok
>test_type_match_string (test_c_spec.TestStringConverterGcc) ... ok
>test_var_in (test_c_spec.TestStringConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_9c188bf237e7c74e11ac929f793be646367621cd1623adf5f08a917c485a46480.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_return (test_c_spec.TestStringConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_7d5948a4e3f7a39e533748cfc4e693ac002a08f52595c222a4ad896021c581ca1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_type_match_complex (test_c_spec.TestStringConverterUnix) ... ok
>test_type_match_float (test_c_spec.TestStringConverterUnix) ... ok
>test_type_match_int (test_c_spec.TestStringConverterUnix) ... ok
>test_type_match_string (test_c_spec.TestStringConverterUnix) ... ok
>test_var_in (test_c_spec.TestStringConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_b455fc09eef7dd22548a3d6de76f2232037b3162ac0b6a16f50371b931c496561.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_return (test_c_spec.TestTupleConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_e4429e32c0a8a7f2d304495fedd77be5ebd6cec93f4baa9e083c1b0d66846f2a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_e4429e32c0a8a7f2d304495fedd77be5ebd6cec93f4baa9e083c1b0d66846f2a0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_e4429e32c0a8a7f2d304495fedd77be5ebd6cec93f4baa9e083c1b0d66846f2a0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestTupleConverterGcc) ... ok
>test_type_match_good (test_c_spec.TestTupleConverterGcc) ... ok
>test_var_in (test_c_spec.TestTupleConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_4deb6c7ae09ac936495e9c1d8ab1ddbb73da1150a9abce75266473d6477959890.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_4deb6c7ae09ac936495e9c1d8ab1ddbb73da1150a9abce75266473d6477959890.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_4deb6c7ae09ac936495e9c1d8ab1ddbb73da1150a9abce75266473d6477959890.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.TestTupleConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de10.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de10.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de10.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TestTupleConverterUnix) ... ok
>test_type_match_good (test_c_spec.TestTupleConverterUnix) ... ok
>test_var_in (test_c_spec.TestTupleConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be040.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be040.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be040.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_return (test_c_spec.TupleConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de11.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de11.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_d62908e3151cb159eaf6122f127b40ac46cdd0e06bec8dd7d889f0af3ea01de11.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_type_match_bad (test_c_spec.TupleConverter) ... ok
>test_type_match_good (test_c_spec.TupleConverter) ... ok
>test_var_in (test_c_spec.TupleConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be041.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be041.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmpMv6Odq/sc_0efc539d81ca1b20ba89f888e6d048ce309fc9bbd05eae6aa8c1a710f713be041.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>There should always be a writable file -- even if it is in temp ... ok
>test_add_function_ordered (test_catalog.TestCatalog) ... ok
>Test persisting a function in the default catalog ... ok
>MODULE in search path should be replaced by module_dir. ... ok
>MODULE in search path should be removed if module_dir==None. ... ok
>If MODULE is absent, module_dir shouldn't be in search path. ... ok
>Make sure environment variable is getting used. ... ok
>Be sure we get at least one file even without specifying the path. ... ok
>Ignore bad paths in the path. ... ok
>test_clear_module_directory (test_catalog.TestCatalog) ... ok
>test_get_environ_path (test_catalog.TestCatalog) ... ok
>Shouldn't get any files when temp doesn't exist and no path set. ... ok
>Shouldn't get a single file from the temp dir. ... ok
>test_set_module_directory (test_catalog.TestCatalog) ... ok
>Check that we can create a file in the writable directory ... ok
>Check that we can create a file in the writable directory ... ok
>There should always be a writable file -- even if search paths contain ... ok
>test_bad_path (test_catalog.TestCatalogPath) ... ok
>test_current (test_catalog.TestCatalogPath) ... ok
>test_default (test_catalog.TestCatalogPath) ... ok
>test_module (test_catalog.TestCatalogPath) ... ok
>test_path (test_catalog.TestCatalogPath) ... ok
>test_user (test_catalog.TestCatalogPath) ... ok
>test_is_writable (test_catalog.TestDefaultDir) ... ok
>test_posix (test_catalog.TestDefaultDir) ... ok
>test_posix_dirs_inaccessible (test_catalog.TestDefaultDir) ... ok
>test_posix_home_inaccessible (test_catalog.TestDefaultDir) ... ok
>test_win (test_catalog.TestDefaultDir) ... ok
>get_test_dir (test_catalog.TestGetCatalog) ... ok
>test_create_catalog (test_catalog.TestGetCatalog) ... ok
>test_nonexistent_catalog_is_none (test_catalog.TestGetCatalog) ... ok
>test if new intermediate dir is created when there is only one ... ok
>if permissions on existing im dir are not correct, ... ok
>test if intermediate dir is owned by correct user ... ok
>im dir should have permissions 0700 ... ok
>im dir shouldn't be a symlink ... ok
>if existing im dir is a symlink, new one should be created ... ok
>test_assign_variable_types (test_ext_tools.TestAssignVariableTypes) ... ok
>Simplest possible function ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/simple_ext_function.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_multi_functions (test_ext_tools.TestExtModule) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/module_multi_function.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_return_tuple (test_ext_tools.TestExtModule) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/ext_return_tuple.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/root/.python27_compiled/m1/ext_return_tuple.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/root/.python27_compiled/m1/ext_return_tuple.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>Simplest possible module ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/simple_ext_module.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_and_int (test_ext_tools.TestExtModule) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/ext_string_and_int.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/root/.python27_compiled/m1/ext_string_and_int.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/root/.python27_compiled/m1/ext_string_and_int.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used, b_used;
>         ^
>ok
>test_with_include (test_ext_tools.TestExtModule) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/ext_module_with_include.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/root/.python27_compiled/m1/ext_module_with_include.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/root/.python27_compiled/m1/ext_module_with_include.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>Running unit tests for scipy
>NumPy version 1.7.1
>NumPy is installed in /usr/lib64/python2.7/site-packages/numpy
>SciPy version 0.12.1
>SciPy is installed in /usr/lib64/python2.7/site-packages/scipy
>Python version 2.7.5 (default, Feb 11 2014, 07:46:25) [GCC 4.8.2 20140120 (Red Hat 4.8.2-13)]
>nose version 1.3.0
>
>Expression: result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
>Run: (10, 10) <type 'numpy.complex128'>
>1st run(numpy.numerix,compiled,speed up):  0.0001, 1.7919, 0.0001
>2nd run(numpy.numerix,compiled,speed up):  0.0001, 0.0007, 0.2205
>Run: (50, 50) <type 'numpy.complex128'>
>1st run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.2745
>2nd run(numpy.numerix,compiled,speed up):  0.0002, 0.0006, 0.2843
>Run: (100, 100) <type 'numpy.complex128'>
>1st run(numpy.numerix,compiled,speed up):  0.0005, 0.0008, 0.6281
>2nd run(numpy.numerix,compiled,speed up):  0.0004, 0.0007, 0.5508
>Run: (500, 500) <type 'numpy.complex128'>
>1st run(numpy.numerix,compiled,speed up):  0.0086, 0.0045, 1.8817
>2nd run(numpy.numerix,compiled,speed up):  0.0080, 0.0046, 1.7666
>Run: (1000, 1000) <type 'numpy.complex128'>
>1st run(numpy.numerix,compiled,speed up):  0.0469, 0.0163, 2.8732
>2nd run(numpy.numerix,compiled,speed up):  0.0455, 0.0163, 2.7860
>
>Expression: result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
>Run: (10, 10) <type 'numpy.float64'>
>warning: compilation failed. Executing as python code
>1st run(numpy.numerix,compiled,speed up):  0.0002, 1.7071, 0.0001
>2nd run(numpy.numerix,compiled,speed up):  0.0001, 1.7704, 0.0001
>Run: (50, 50) <type 'numpy.float64'>
>1st run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.2638
>2nd run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.2355
>Run: (100, 100) <type 'numpy.float64'>
>1st run(numpy.numerix,compiled,speed up):  0.0003, 0.0007, 0.4452
>2nd run(numpy.numerix,compiled,speed up):  0.0003, 0.0007, 0.4515
>Run: (500, 500) <type 'numpy.float64'>
>1st run(numpy.numerix,compiled,speed up):  0.0050, 0.0025, 1.9560
>2nd run(numpy.numerix,compiled,speed up):  0.0041, 0.0026, 1.5859
>Run: (1000, 1000) <type 'numpy.float64'>
>1st run(numpy.numerix,compiled,speed up):  0.0236, 0.0086, 2.7531
>2nd run(numpy.numerix,compiled,speed up):  0.0237, 0.0086, 2.7680
>
>Expression: result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
>Run: (10, 10) <type 'numpy.float32'>
>warning: compilation failed. Executing as python code
>1st run(numpy.numerix,compiled,speed up):  0.0002, 1.7104, 0.0001
>warning: compilation failed. Executing as python code
>2nd run(numpy.numerix,compiled,speed up):  0.0001, 1.7051, 0.0001
>Run: (50, 50) <type 'numpy.float32'>
>1st run(numpy.numerix,compiled,speed up):  0.0001, 1.7556, 0.0001
>2nd run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.2526
>Run: (100, 100) <type 'numpy.float32'>
>1st run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.3421
>2nd run(numpy.numerix,compiled,speed up):  0.0002, 0.0007, 0.3265
>Run: (500, 500) <type 'numpy.float32'>
>1st run(numpy.numerix,compiled,speed up):  0.0028, 0.0025, 1.1145
>2nd run(numpy.numerix,compiled,speed up):  0.0026, 0.0025, 1.0240
>Run: (1000, 1000) <type 'numpy.float32'>
>1st run(numpy.numerix,compiled,speed up):  0.0112, 0.0084, 1.3203
>2nd run(numpy.numerix,compiled,speed up):  0.0109, 0.0084, 1.2922
>speed test for list access
>compiler: 
>scxx: 0.0192918777466
>C, no checking: 0.0125439167023
>python: 0.11510515213
>speed test for list access
>compiler: gcc
>scxx: 0.0193400382996
>C, no checking: 0.0125679969788
>python: 0.115071058273
>speed test for list access
>compiler: 
>scxx: 0.0192158222198
>C, no checking: 0.0125639438629
>python: 0.120595932007
>ok
>test_exceptions (test_inline_tools.TestInline) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0f71f8ae805a08ae9c0997bbed885aa05732bf4ee5dd998201b13696fd4936120.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex_return (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb30.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_inline (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_b85a00917e8fbf8aded5f59e0fb1c86aaaf1a4e28dcd3f45ec339979928ebe6b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_type_match_complex128 (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... ok
>test_type_match_float (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... ok
>test_type_match_int (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... ok
>test_type_match_string (test_numpy_scalar_spec.NumpyComplexScalarConverter) ... ok
>test_complex_return (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_82a98125988e9f0f844b84314e30c407cf4a1a7651a38449cd42b35110eef87f0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_1c027b2c33d03448b23013336866717702fa712ae280d147e27eb8b3c1c46a0e0.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_inline (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... ok
>test_type_match_complex128 (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... ok
>test_type_match_float (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... ok
>test_type_match_int (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... ok
>test_type_match_string (test_numpy_scalar_spec.TestNumpyComplexScalarConverterGcc) ... ok
>test_complex_return (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_cc6853593368500948499de40d198ced099bb89203ec9c563617766320d47bb31.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_complex_var_in (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>/tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp: In function âPyObject* test(PyObject*, PyObject*, PyObject*)â:
>/tmp/tmptyvjAr/sc_6cc6c55b5f6ada871b0ae0a80dc46114f7781d3a940ab0f3fefcf3e1ce413d9b1.cpp:623:9: warning: variable âa_usedâ set but not used [-Wunused-but-set-variable]
>     int a_used;
>         ^
>ok
>test_inline (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... ok
>test_type_match_complex128 (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... ok
>test_type_match_float (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... ok
>test_type_match_int (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... ok
>test_type_match_string (test_numpy_scalar_spec.TestNumpyComplexScalarConverterUnix) ... ok
>test_numpy_scalar_spec.setup_test_location ... ok
>test_numpy_scalar_spec.teardown_test_location ... ok
>test_empty (test_scxx_dict.TestDictConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_76a842623116bf4bc87649f92f14bcde20327fb37f69af19573b1e145cdcea7a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex (test_scxx_dict.TestDictDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_37a01ab5c6f551aee7da806f13d6d986a8157613e5535815c50678585568df640.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_double (test_scxx_dict.TestDictDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_37a01ab5c6f551aee7da806f13d6d986a8157613e5535815c50678585568df641.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int (test_scxx_dict.TestDictDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_37a01ab5c6f551aee7da806f13d6d986a8157613e5535815c50678585568df642.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_obj (test_scxx_dict.TestDictDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_37a01ab5c6f551aee7da806f13d6d986a8157613e5535815c50678585568df643.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_string (test_scxx_dict.TestDictDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_37a01ab5c6f551aee7da806f13d6d986a8157613e5535815c50678585568df644.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char (test_scxx_dict.TestDictGetItemOp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_df890736b0b5e10f46dbed6e63eaee981ca1a7e351747cd62145ca46752613210.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char_fail (test_scxx_dict.TestDictGetItemOp) ... KNOWNFAIL: Test skipped due to known failure
>test_obj (test_scxx_dict.TestDictGetItemOp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_3d47bff6ed13e266ac05d44fb6494ec325d2abc87e27bfe3085d018a0715b1400.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_obj_fail (test_scxx_dict.TestDictGetItemOp) ... KNOWNFAIL: Test skipped due to known failure
>test_string (test_scxx_dict.TestDictGetItemOp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_a8a3aff20f2cde68f2a39f6778ce246e6259d7d819b699cc9df8f378ae6673dc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_6257a8bc65516157c615bc736d04c5aa69b6a084b15f791c6e71db5e1f85b1d00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_double (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_a83545f5760a4dfad3594156241d2371b7a7d673d579ebc3d1d37ed876c57bca0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_cc9f709e42b75ca0135418a30a4abab3a4d8681a944d3542e956c2303a9db25e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_obj (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e0dc391e1e3ad2f9084614c36209058bb8d2ef89e5c705253efa368bed2a4f830.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_string (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_19e2370a23978e1b544399dee79b67a3641790cfb043109b1b960f0ed16ed5be0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_549374f9cfc213a895eefce0f48aab150e1ca4ec6c41bdd11bd40f9999f0d4370.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_fail (test_scxx_dict.TestDictHasKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c9e9ff19368db6f4f4872e4505458164d9c6fb7e1631dfc7730088299ec58c620.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_clear (test_scxx_dict.TestDictOthers) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_43d40768e4ee368c91dce1bf90ea41bf5331142b38311abad4eeb1d1f499f0f10.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_items (test_scxx_dict.TestDictOthers) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_891c8e078461d402723f70dd1f425fee320f7e775a42278c526c70b25f2e8b7e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_keys (test_scxx_dict.TestDictOthers) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_3d6f2655af255dd3840160c89e45cc662d3d1bd59f367f0f7bf9e74a0b2eff550.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_update (test_scxx_dict.TestDictOthers) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_b0191340340d910ba6572020bedf465569097a0ca6eea3f3bb12ea04ef29e5ac0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_values (test_scxx_dict.TestDictOthers) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c11fc1e843b4ce07c0f44a1c1cab3a5d51396d4ee8e44882f5f3ecf1147a388d0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_complex_int (test_scxx_dict.TestDictSetOperator) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2d20687abd7fa99ff0a2c0900f9adf665c33aac8a2e260feb6c35a47c4d39ccc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_double_int (test_scxx_dict.TestDictSetOperator) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2d20687abd7fa99ff0a2c0900f9adf665c33aac8a2e260feb6c35a47c4d39ccc1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_int_int (test_scxx_dict.TestDictSetOperator) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2d20687abd7fa99ff0a2c0900f9adf665c33aac8a2e260feb6c35a47c4d39ccc2.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_obj_int (test_scxx_dict.TestDictSetOperator) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2d20687abd7fa99ff0a2c0900f9adf665c33aac8a2e260feb6c35a47c4d39ccc3.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_std_string_int (test_scxx_dict.TestDictSetOperator) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2d20687abd7fa99ff0a2c0900f9adf665c33aac8a2e260feb6c35a47c4d39ccc4.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_overwrite_complex_int (test_scxx_dict.TestDictSetOperator) ... ok
>test_overwrite_double_int (test_scxx_dict.TestDictSetOperator) ... ok
>test_overwrite_int_int (test_scxx_dict.TestDictSetOperator) ... ok
>test_overwrite_obj_int (test_scxx_dict.TestDictSetOperator) ... ok
>test_overwrite_std_string_int (test_scxx_dict.TestDictSetOperator) ... ok
>test_attr_call (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_a2f4ec0acf72c96392da7cc540e39f66b3eb8afaa4b9defa4ad65cd06497cb620.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_34367d8e71d10728bcd3e20630d6a9a15007d68991029420abb9969d73e80baa0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char_fail (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_a7ac4133814ffd4b9cf7021bb630c7341a8ba7987e37e3a1bee52ca23972d2fc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_obj (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_f5d558e3dc3f27b9c5ae586d97643afcc982640a31a29c3d111831ffcf73f60c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_obj_fail (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_ea61ea653fb42ee4070dbf4fe6da0ee0083723495457d2cc580919de7f776e0c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_25ce54551fe0560c117657349eba3e4621f0b97b3eb07fd47b7df7f405205e9b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_fail (test_scxx_object.TestObjectAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_f165cbed6de076e5ba823106a72444afc917261808ee5d43251ff88227b254c00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_args (test_scxx_object.TestObjectCall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_8744d65353d3580e278e25dacd161b29ae54ecd040c57f4ca0d994b571fee0d70.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_args_kw (test_scxx_object.TestObjectCall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_002ea4b1fed1ca8130fcbe77e4d35cf4718ae4f9c7a4b6f5eab544b70d355fc20.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_noargs (test_scxx_object.TestObjectCall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_118453a78cc0fb70a0193c06ead980217f86f9457e9fa9dd9c0db735f47823b10.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_noargs_with_args (test_scxx_object.TestObjectCall) ... ok
>test_complex_cast (test_scxx_object.TestObjectCast) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_277ee4cf70dd6cbff9579f265af574d49759fd4a787ca38fe6ce9ad9bc6283770.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_double_cast (test_scxx_object.TestObjectCast) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_3eafff57abea6555b428e67c5c8e02abcd798c550d266a9d5664750b16c0f21d0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_float_cast (test_scxx_object.TestObjectCast) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_50d2a93c41fc9bdb6ece0bce6bcd4b78bc11c7ceb4ce8e07944c23df4228f4570.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int_cast (test_scxx_object.TestObjectCast) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_989c1c469f852d4ce186934fcf93853ff5a4a16d7f70c4e2e2e4cf2e6f2322d50.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_cast (test_scxx_object.TestObjectCast) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2fcbafd9bae6e37d35a2e2297f5cc8fe0b3eb49cbf0eaa380eafaaedf683f2930.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_93cb47834f7a07798b1b529efe1119f4cd4811a1e7205351abc60fa7b62321850.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_double (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2a8763cc0d81786234f7c7cd8ca922ccd17092a578e76a974b2ac1b5f79c97840.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_equal (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_49e20048c77424db009b8b5d07d4833a1d99904c88f623ca4938bb7449faa7b80.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_equal_objects (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_49e20048c77424db009b8b5d07d4833a1d99904c88f623ca4938bb7449faa7b81.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_gt (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4e74d75980af2432ce87f735f4a93efab175148b8e4033f16b2970baf40a5dfb0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_gte (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_b0a488f08ebcef0d65b6dc03006a757fb4472a829406bc617887e94550d301500.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4a113e94a39d3327ff004b4856e61b4de267549d9785fcdb040353c989e03b090.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int2 (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_22b43bc95f59c00553f766eca1b1a707d03001621be5d28c73c1c66c72ea039e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_lt (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4911c8d92bd0162872d7795c16f360504d7ba8d2bad532296b05b34c6f6921930.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_lte (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2cb8039464dc3b04921bd4523f66b9fd232186c7c82744c9560abb82dca7a5ec0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_not_equal (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_8b6e727b8fe8abd6e3e462a0b554775f49c72ba7446965e8bb775c89933848a50.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_string (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_5fe135be2312e0e39e5d03cef2c4f81dd8483341d4b7fe07952338e5dffd4e290.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_unsigned_long (test_scxx_object.TestObjectCmp) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fa6a27ea44f1429ad587fe1c39e8c7533a2bb89c53e67365e5b1bdcb87440d090.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_complex (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2541bba7dfbe3cd613fa2d3e5a89ed61791f0d8168417408c7fa99c1c8b3b3620.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_double (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_7ddc090ef72474bb7afb8c875305d881c7787901e79ac88a0606f1aaa75d0f1f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_float (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e6209b8f8a8b6cd827f15218120c4c0d3ba6253c817f5cb13bcf3b67aa86827e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_77e3ccc1b4e81ba7ef62b20c311c242e5eb3459fb269334858baef49b7dede050.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_string (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_cfad2ed3ad6e4181882cdfcacab1b1c165f5e6599839d328d138109748e9ab7e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string (test_scxx_object.TestObjectConstruct) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_9900fe34cf0931f4866534088f6a164925a496bce9f707830ad08a075eb409370.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_char (test_scxx_object.TestObjectDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fa65c9b6c58af30b4378ae23f9dd08310c17ad13e2508c6015170f04937890700.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_object (test_scxx_object.TestObjectDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2af7d8273bb17aa41487489b836a375720626555c119dbfb201a5dc90e110ca00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string (test_scxx_object.TestObjectDel) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_d04595dc4ad45ae7a5ab701a740dae8b6dc210a9e42ec094927412bf45779b3e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_func (test_scxx_object.TestObjectHasattr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_85e0815ce9735ac04e6c254d5464e4b18bdf9cd2c475d91f42771457d96d4abc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>THIS NEEDS TO MOVE TO THE INLINE TEST SUITE ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_1e7caf9579d736ad0d8467b5994ef5c8dadebe2978b024ff508534f0f598c6d70.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_string (test_scxx_object.TestObjectHasattr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_9add39de4998789fd89186552889486a8afcd0d178562a2a8bb21303400311e60.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string (test_scxx_object.TestObjectHasattr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_8113bc5e5bad42028181a6c56f965bbbb9cc5aed9307f68bb7a599d5536b3b0c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_fail (test_scxx_object.TestObjectHasattr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_9e545f43ee9f7d9042fce1026a84fb532d15d9c8c916520db6b467d7f5ed30620.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_hash (test_scxx_object.TestObjectHash) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_9d4cb6528bac9522c3a4d03eb7c5a9b7926d46f1f8800de60d6b274a2ea9cbf10.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_false (test_scxx_object.TestObjectIsCallable) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_8452b2b542a0fa82f2a4a660f8796f518bf5d76d041aa3f40a9c740868559cce0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_true (test_scxx_object.TestObjectIsCallable) ... ok
>test_false (test_scxx_object.TestObjectIsTrue) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_409f73dab7a177fa4a30fac7298a27d82a21ae5ac2115d72580b5c9d7323ecfa0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_true (test_scxx_object.TestObjectIsTrue) ... ok
>test_args (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_efe50cb16630d650fdd223ed818f399913cf49a70d3c5b4e35d83edb9af94a490.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_args_kw (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c2254704d103b4c67918acc1c345ad8e90d5625af5ce36340fc45bbdcc843b890.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_noargs (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_886f958fe62c522bc56e60b6cce962ea4a9d2d4504c24fe61e4a3712eb370edf0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_noargs_with_args (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_6fc9c8e46fbb79b034aaa811f4ba97692519719785f54ee6ba5e6dbeb65f51f80.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_args (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_f5b801545ba6cca2c6e14e0bbf548cfcca6aff0d1a554c6307ac6357bfde004c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_args_kw (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_3d0c6a89938266067bff2195f920c7eb1188705bcef3f7d17f6114d26e6a126f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_std_noargs (test_scxx_object.TestObjectMcall) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_03003ccbd8a17142f9a6cd125a924f133a693ef26f8acce0cfa43d87bc5433810.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_stringio (test_scxx_object.TestObjectPrint) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_7bbeb29db38d4553f40d78421a3af46ab6b36e69e9b70ececadf76da00bb63ad0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_repr (test_scxx_object.TestObjectRepr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_82a53d8535a507e591216d16632cbaffd7f9ed44db33984955ab4fdb370daf690.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_char (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_1b98ce1f302df73677617edf180c058f5d54d6f3e6930b699e5d7299db22a33b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_char1 (test_scxx_object.TestObjectSetAttr) ... ok
>test_existing_complex (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_43eff1190cc99663574e78732085b1f79df810226054bf9fc452e40336d5010c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_double (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c6f384d72b0d9ef69eb09ca57ff6d602c66bab7d67318f4ae956756c1bf40abc0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_int (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_cc16f63afe22d412bdbde1a9202d83c3d45b551b33bc9be4a947be24176f5f1f0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_object (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e20fbfb1a1a7c772cbf391743461e748c3cff7652d384c8b9968ff9c7a6a702a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_string (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_7ac5af7bf2d765b77b31d84fcc1f00b5012686182ee20a6e753db43ef59d4c870.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_existing_string1 (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_5897f5cf285e61b5d555285e0fde4645f6b068734a5140c5f38bafa38b61775c0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_char (test_scxx_object.TestObjectSetAttr) ... ok
>test_new_fail (test_scxx_object.TestObjectSetAttr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_1fd793d481551d8e5c86c2b2035fbb7ec607ac0da27fe65b4a32bcf6ad77ede50.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_new_object (test_scxx_object.TestObjectSetAttr) ... ok
>test_new_string (test_scxx_object.TestObjectSetAttr) ... ok
>test_list_refcount (test_scxx_object.TestObjectSetItemOpIndex) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0c1a7f98f4074dcf6a917c6fe8b390f48c3431c5de01fde979728cd16c557af80.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_char (test_scxx_object.TestObjectSetItemOpIndex) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_28049d918cb563a00584a6c0ab9a73744b7b3b0ab276cb1c9aa35b3b40fe74f30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_double (test_scxx_object.TestObjectSetItemOpIndex) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_b041b7c2bde5abc77186566814a6439ad1fec1073401b6896b77edfd462531d70.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_int (test_scxx_object.TestObjectSetItemOpIndex) ... ok
>test_set_string1 (test_scxx_object.TestObjectSetItemOpIndex) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_1b4e93732d6a4e7ed85ecbb9f286a44c9e6f7b932801d87c403d3b5676a92a1b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_string2 (test_scxx_object.TestObjectSetItemOpIndex) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e2ab7d6649f0686fd35d6123ba6158fe059b29a62f0d1a1865fcf30feb3e6ea30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_key_refcount (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_bc4632c810fdbf7e8363b83ecddc31d9130bf246f32c28d73d79866b648ad0110.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_char (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_5410863ab7798d466a68eb3914847d861319a48b46f979aa6587f91f09c9ce300.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_class (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_375dc9dc4eb501af4424a1b05539475d6cdcd62cee0b9416835b5e29303f4b420.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_complex (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_933a106855830aa4855b5a0285ec1b3118dbe4e61e0c06110d5225142dfc350a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_double_exists (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0b573e24d42e1d925a2a990615701af334739a2a278b5f6b025c96da3c81038d0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_double_new (test_scxx_object.TestObjectSetItemOpKey) ... ok
>test_set_from_member (test_scxx_object.TestObjectSetItemOpKey) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2ac2a0103c7c9990eaa54f071f7324318a2830e35f56733e86fbc75d41b3ecb50.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_len (test_scxx_object.TestObjectSize) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_9a34409165e998ee1604f47312c79294d6f4049eee71929f0b6b887579341ad00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_length (test_scxx_object.TestObjectSize) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_bfd584bb0f211e15c23f23d0a384a5e62e69a06b40c0b690e354eaceda66d4920.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_size (test_scxx_object.TestObjectSize) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4bff4f858a609d887f1d9423c81fa6a4a1904ec447ac9b49596853fd350272580.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_str (test_scxx_object.TestObjectStr) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_00c784a24ee831148e15800e4bd73dafdd7f91066769eb41fffc779141faacc50.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_type (test_scxx_object.TestObjectType) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_ab54308257051651c842cc38bc8924feffc0b52e16360898a504bc11e6f2faa00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_unicode (test_scxx_object.TestObjectUnicode) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_bfac5fc5f952c2b77ee0f6c8a9ab4aecba3cfbe45785ca036e40673fdfd975580.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_access_set_speed (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_451c46f2a87a2b922afcbdc50fd8abfacf23d02741601fd0c98f4e23e98562d80.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_access_speed (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2784244b1eb8d428e39f093b4f2e501ad502ffd763ad6b0f482878cd401057650.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_append (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_f50652b92a32a1b18e35659ea846865fc73297fcd48ef979594cca531f52ba5e0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fc99c3a22ffad99e6671a527da796ed91afdc9a8f90f4752f796e27fccd20baf0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fb5155553090d873ab3dd58d3623ed348cc0aedcd0083c801d98769324ff044b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c58be2ab90c20940113388421f1d1e6a4d7d7d9597426b0c7e1dd1699db11a860.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_502c0f97db248a07d9431786d6e05ee7040371f5d0c7dbf174ae05ab3d4f03310.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_append_passed_item (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_a573fba7f150105b4cd0b6dbd15aa82e60a572d67305b10a6fbab31b9f806b150.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_conversion (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_93f3bd327ea6950f54d44181e2667a584fb22c3fa6e4217bb4d8d12fb0d397b70.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>Test the "count" method for lists.  We'll assume ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4a9aff4ec44c41ae45f101959fb8729590e23b4dbf05f873f015c83067e870b30.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_6dcbdfed48899b7f70587e772b72c45cd2283c891ede847fbb1066245da61fae0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_33b0e7152a417d676dcc6dd0ee6e604a37ec6c96540a13074ab26fb44d7c22ab0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e12e4a8d8564c1014f7bb50a5ca870c2d76a741092141051e7ba60254a64ae1a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_775c543516259dc6179c45d4c9673c3ebea7c8a5df229a8e9c0f774fca96f7950.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_get_item_index_error (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_485d55456f67edc801a98b8fa94ea95186f0a743a3995819d769a45b9cb87c620.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>Test the "in" method for lists.  We'll assume ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fec83f2f1bdad40eb17bdfe8d47c541748e06297a4e6fee14e9bc2e375f84fa00.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_20a87ce8d1b2aed252654779c6be0f9e5d2cc1d0c5735840e59ba647470499290.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_88a64874bb2ddb3f945aa5310cfb971741c201d19b90ddcd70ce338bfea151060.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_7e24b6b14e19680bbfd511f5e5fd9d106330ebcf93b91f4ac9f7e719536f89580.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_5d5a1535d6962b3c44fedc9e0787de145388196d33e6d40d451382c276e568c20.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0a1183affc4409188ef4c649163cc749e9304f62018b9832d112d6ea0ff5fc720.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_ae8cb7884c964858814e2dcad2d1bf11bbe8e414606b8ba03dad5b6b2c5d1e7b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4921a9ac48fcb409bc1f0f0c9a028a4d9b2fe906463651f52078730dbf955fb20.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_45784bd83b59f7b9fa07f617495d3ac0468b6ba783dd273f6556b7e1416a908b0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_insert (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c4e6b768dac5a5f77942db081f41cbfce6a17fd699504d18fbf84b693a103aef0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_b49843fcd30831825ea5296de9541b17a40558ab4c6c538f7513baf9778962fa0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_3ca70c04f94d396a18214369bee901de738f8396ee543af1733ce47bb9c795280.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_f6ef3a1c4f07cb384914552cc3ce5207495278b6ee1a67e9fd145a16c3cd17a20.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_int_add_speed (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_43be727171a5a28660e85db81b50a4cc837b484a5536d3c8cf1d22e4551b95dd0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_index_error (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_ab88dc3a8c18fa158128806d6ddd10dd8a3f8ca80db9eafd5fbea9b2d269428a0.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_operator_equal (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_c568225832e7470e507def912515a7baee79655956e53a133f14f6a901527ee70.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_operator_equal_created (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_14dda26698e401424be72ad56236bc410d038be681257c23acd385857f2b35810.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_string_add_speed (test_scxx_sequence.TestList) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_1ab1c14e63585385545a7fcfbf48d6dd5b2ce4d7bda460d40839510c1b629e710.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_access_set_speed (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_451c46f2a87a2b922afcbdc50fd8abfacf23d02741601fd0c98f4e23e98562d81.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_access_speed (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_2784244b1eb8d428e39f093b4f2e501ad502ffd763ad6b0f482878cd401057651.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_conversion (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_93f3bd327ea6950f54d44181e2667a584fb22c3fa6e4217bb4d8d12fb0d397b71.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>Test the "count" method for lists.  We'll assume ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4a9aff4ec44c41ae45f101959fb8729590e23b4dbf05f873f015c83067e870b31.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_6dcbdfed48899b7f70587e772b72c45cd2283c891ede847fbb1066245da61fae1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_33b0e7152a417d676dcc6dd0ee6e604a37ec6c96540a13074ab26fb44d7c22ab1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_e12e4a8d8564c1014f7bb50a5ca870c2d76a741092141051e7ba60254a64ae1a1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_775c543516259dc6179c45d4c9673c3ebea7c8a5df229a8e9c0f774fca96f7951.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_get_item_operator_index_error (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_8327f8977aeaa9c599db89d29e0ec702aaa020af51942d7afdd1260599986e530.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>Test the "in" method for lists.  We'll assume ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_fec83f2f1bdad40eb17bdfe8d47c541748e06297a4e6fee14e9bc2e375f84fa01.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_20a87ce8d1b2aed252654779c6be0f9e5d2cc1d0c5735840e59ba647470499291.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_88a64874bb2ddb3f945aa5310cfb971741c201d19b90ddcd70ce338bfea151061.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_7e24b6b14e19680bbfd511f5e5fd9d106330ebcf93b91f4ac9f7e719536f89581.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_5d5a1535d6962b3c44fedc9e0787de145388196d33e6d40d451382c276e568c21.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0a1183affc4409188ef4c649163cc749e9304f62018b9832d112d6ea0ff5fc721.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_ae8cb7884c964858814e2dcad2d1bf11bbe8e414606b8ba03dad5b6b2c5d1e7b1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_4921a9ac48fcb409bc1f0f0c9a028a4d9b2fe906463651f52078730dbf955fb21.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_45784bd83b59f7b9fa07f617495d3ac0468b6ba783dd273f6556b7e1416a908b1.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_index_error (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_0340c4711ae583ecbbd754dae5e2aea69cea2d07e2023b939d6b2cbedb8221480.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_operator_equal (test_scxx_sequence.TestTuple) ... In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
>                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
>                 from /root/.python27_compiled/m1/sc_173243115fe8831dd7db82e9d5b3f152624b32b203b30fc4b69aa8d1ff93e9f90.cpp:22:
>/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
> #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>  ^
>ok
>test_set_item_operator_equal_fail (test_scxx_sequence.TestTuple) ... ok
>test_error1 (test_size_check.TestBinaryOpSize) ... ok
>test_error2 (test_size_check.TestBinaryOpSize) ... ok
>test_scalar (test_size_check.TestBinaryOpSize) ... ok
>test_x1 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y (test_size_check.TestBinaryOpSize) ... ok
>test_x_y2 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y3 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y4 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y5 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y6 (test_size_check.TestBinaryOpSize) ... ok
>test_x_y7 (test_size_check.TestBinaryOpSize) ... ok
>test_y1 (test_size_check.TestBinaryOpSize) ... ok
>test_error1 (test_size_check.TestDummyArray) ... ok
>test_error2 (test_size_check.TestDummyArray) ... ok
>test_scalar (test_size_check.TestDummyArray) ... ok
>test_x1 (test_size_check.TestDummyArray) ... ok
>test_x_y (test_size_check.TestDummyArray) ... ok
>test_x_y2 (test_size_check.TestDummyArray) ... ok
>test_x_y3 (test_size_check.TestDummyArray) ... ok
>test_x_y4 (test_size_check.TestDummyArray) ... ok
>test_x_y5 (test_size_check.TestDummyArray) ... ok
>test_x_y6 (test_size_check.TestDummyArray) ... ok
>test_x_y7 (test_size_check.TestDummyArray) ... ok
>test_y1 (test_size_check.TestDummyArray) ... ok
>test_1d_0 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_1 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_10 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_2 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_3 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_4 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_5 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_6 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_7 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_8 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_9 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_index_0 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_index_1 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_index_2 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_index_3 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_index_calculated (test_size_check.TestDummyArrayIndexing) ... ok
>through a bunch of different indexes at it for good measure. ... ok
>test_1d_stride_0 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_1 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_10 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_11 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_12 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_2 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_3 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_4 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_5 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_6 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_7 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_8 (test_size_check.TestDummyArrayIndexing) ... ok
>test_1d_stride_9 (test_size_check.TestDummyArrayIndexing) ... ok
>test_2d_0 (test_size_check.TestDummyArrayIndexing) ... ok
>test_2d_1 (test_size_check.TestDummyArrayIndexing) ... ok
>test_2d_2 (test_size_check.TestDummyArrayIndexing) ... ok
>through a bunch of different indexes at it for good measure. ... ok
>through a bunch of different indexes at it for good measure. ... ok
>test_calculated_index (test_size_check.TestExpressions) ... ok
>test_calculated_index2 (test_size_check.TestExpressions) ... ok
>test_generic_1d (test_size_check.TestExpressions) ... ok
>test_single_index (test_size_check.TestExpressions) ... ok
>test_scalar (test_size_check.TestMakeSameLength) ... ok
>test_x_scalar (test_size_check.TestMakeSameLength) ... ok
>test_x_short (test_size_check.TestMakeSameLength) ... ok
>test_y_scalar (test_size_check.TestMakeSameLength) ... ok
>test_y_short (test_size_check.TestMakeSameLength) ... ok
>test_1d_0 (test_size_check.TestReduction) ... ok
>test_2d_0 (test_size_check.TestReduction) ... ok
>test_2d_1 (test_size_check.TestReduction) ... ok
>test_3d_0 (test_size_check.TestReduction) ... ok
>test_error0 (test_size_check.TestReduction) ... ok
>test_error1 (test_size_check.TestReduction) ... ok
>test_exclusive_end (test_slice_handler.TestBuildSliceAtom) ... ok
>match slice from a[1:] ... ok
>match slice from a[1::] ... ok
>match slice from a[1:2] ... ok
>match slice from a[1:2:] ... ok
>match slice from a[1:2:3] ... ok
>match slice from a[1::3] ... ok
>match slice from a[:] ... ok
>match slice from a[::] ... ok
>match slice from a[:2] ... ok
>match slice from a[:2:] ... ok
>match slice from a[:2:3] ... ok
>match slice from a[:1+i+2:] ... ok
>match slice from a[0] ... ok
>match slice from a[::3] ... ok
>transform a[:] to slice notation ... ok
>transform a[:,:] = b[:,1:1+2:3] *(c[1-2+i:,:] - c[:,:]) ... ok
>test_type_match_array (test_standard_array_spec.TestArrayConverter) ... ok
>test_type_match_int (test_standard_array_spec.TestArrayConverter) ... ok
>test_type_match_string (test_standard_array_spec.TestArrayConverter) ... ok
>
>----------------------------------------------------------------------
>Ran 6883 tests in 462.332s
>
>OK (KNOWNFAIL=18, SKIP=36)
>after and after2 should be equal in the following
>before, after, after2: 2 3 3
>hash: 123
>'how now brown cow'
>str return
>%s access/set -- b[i] = a[i] for N = (<type 'list'>, 1000000)
>python: 0.0826380252838
>weave: 0.0221121311188
>%s access -- val = a[i] for N = (<type 'list'>, 1000000)
>python1: 0.0397479534149
>python2: 0.0208570957184
>weave: 0.00936007499695
>int add -- b[i] = a[i] + 1 for N = 1000000
>python: 0.0985660552979
>weave: 0.0271329879761
>string add -- b[i] = a[i] + "blah" for N = 1000000
>python: 0.142965078354
>weave: 0.225166082382
>%s access/set -- b[i] = a[i] for N = (<type 'tuple'>, 1000000)
>python: 0.0966680049896
>weave: 0.0215208530426
>%s access -- val = a[i] for N = (<type 'tuple'>, 1000000)
>python1: 0.052129983902
>python2: 0.0207479000092
>weave: 0.00926113128662

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Attachments on bug 877920: 647598 | 882406