[pymvpa] PyMVPA for Python 3 -- second report
Tiziano Zito
opossumnano at gmail.com
Fri Apr 20 16:38:03 UTC 2012
hi all,
with my today's efforts I got down to 13 errors and 15 failures out
of 284 tests, so it's getting better :)
on the same branch the same set of unittests passes without errors
or failures with python 2.7, so I assume I did not break anything
important.
I attach here the error logs in case someone else feels like having
a look.
the remaining errors and failures are probably out of my reach, as
fixing them requires a much deeper understanding of the very rich
data types structure of PyMVPA ;) I am available for a short sprint
in case someone is orbiting around northern germany...
there are some commits that I think would require a deeper review by
some core developer, as I am not 100% sure those changes are really
as neutral as the lack of failures in the unittests seems to suggest.
I had to disable a test that was hanging in an infinite loop:
test_nfold_random_counted_selection_partitioner
no idea what the problem there is, really.
one point where I can directly ask for a solution is the usage of
the variable nproc in BaseSearchlight (mvpa2/measures/searchlight.py):
the doc-string seems to imply that setting it to None would use all
available cores, but if the pprocess module is not installed this is
not true, and an error is spit only in the case nproc > 1
(which is false if nproc is None). so maybe the doc-string could be
updated to say something like:
nproc : None or int
How many processes to use for computation. Requires `pprocess`
external module. If None -- all available cores will be used
if `pprocess` is available, a single core will be used otherwise.
ciao,
tiziano
-------------- next part --------------
python3 setup.py config --noisy
Converting to Python3 via 2to3...
running config
python3 setup.py build_ext --inplace
Converting to Python3 via 2to3...
running build_ext
running build_src
build_src
building extension "mvpa2.clfs.libsmlrc.smlrc" sources
building extension "mvpa2.clfs.libsvmc._svmc" sources
building data_files sources
build_src: building npy-pkg config files
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
running scons
touch build3-stamp
I: Running py3-compatible unittests. None of them should ever fail.
T: MVPA_SEED=1251509818
T: Testing for availability of external software packages.
WARNING: libsvm verbosity control is not available.
* Please note: warnings are printed only once, but underlying problem might occur many times *
test_externals (mvpa2.tests.test_externals.TestExternals) ... ok
test_externals_correct2nd_invocation (mvpa2.tests.test_externals.TestExternals) ... ok
test_externals_no_double_invocation (mvpa2.tests.test_externals.TestExternals) ... ok
test_basic (mvpa2.tests.test_dochelpers.DochelpersTests) ... ok
test_borrow_doc (mvpa2.tests.test_dochelpers.DochelpersTests) ... ok
test_borrow_kwargs (mvpa2.tests.test_dochelpers.DochelpersTests) ... ok
test_searchlight_doc (mvpa2.tests.test_dochelpers.DochelpersTests) ... ok
test_simple_som (mvpa2.tests.test_som.SOMMapperTests) ... ERROR
test_blank_state (mvpa2.tests.test_state.StateTests) ... ok
test_deep_copying_state_variable (mvpa2.tests.test_state.StateTests) ... ok
Check if we can store/restore set of enabled ca ... ok
test_parametrized (mvpa2.tests.test_state.StateTests) ... ERROR
test_proper_state (mvpa2.tests.test_state.StateTests) ... ok
Simple test if child gets conditional attributes from the parent as well ... ok
test_read_only (mvpa2.tests.test_state.StateTests) ... ok
To test new ca ... ok
test_stored_temporarily (mvpa2.tests.test_state.StateTests) ... ok
test_value_in_constructor (mvpa2.tests.test_state.StateTests) ... ok
test_blank (mvpa2.tests.test_params.ParamsTests) ... ok
test_classifier (mvpa2.tests.test_params.ParamsTests) ... ok
test_incorrect_parameter_error (mvpa2.tests.test_params.ParamsTests) ... ok
test_mixed (mvpa2.tests.test_params.ParamsTests) ... ok
test_simple (mvpa2.tests.test_params.ParamsTests) ... ok
test_config (mvpa2.tests.test_config.ConfigTests) ... ok
test_asobjarray (mvpa2.tests.test_support.SupportFxTests) ... ok
test_break_points (mvpa2.tests.test_support.SupportFxTests) ... ok
test_correlation (mvpa2.tests.test_support.SupportFxTests) ... ok
test_event (mvpa2.tests.test_support.SupportFxTests) ... ok
test_id_hash (mvpa2.tests.test_support.SupportFxTests) ... FAIL
test_map_overlap (mvpa2.tests.test_support.SupportFxTests) ... ok
test_mof_n_combinations (mvpa2.tests.test_support.SupportFxTests) ... ok
Test our ad-hoc SmartVersion ... ERROR
test_transform_with_boxcar (mvpa2.tests.test_support.SupportFxTests) ... ok
Test conversion of versions from strings ... ok
test_xrandom_unique_combinations (mvpa2.tests.test_support.SupportFxTests) ... ok
mvpa2.tests.test_support.test_value2idx ... ok
mvpa2.tests.test_support.test_limit_filter ... ok
Test if works fine with carriage return (cr) symbol ... ok
test_debug (mvpa2.tests.test_verbosity.VerboseOutputTest) ... ok
test_debug_rgexp (mvpa2.tests.test_verbosity.VerboseOutputTest) ... ok
Test error message ... ok
Test if it works fine with no newline (LF) symbol ... ok
Test once logger ... ok
Test if it doesn't output at higher levels ... ok
Test if outputs at lower levels and indents ... ok
Test indent symbol ... ok
Test if chokes on negative level ... ok
Test all available reports, real or dummy for just working ... T: Tests from "test_ridge" are skipped due to missing externals: scipy
T: Tests from "test_gpr" are skipped due to missing externals: scipy
T: Tests from "test_hamster" are skipped due to missing externals: ['cPickle', 'gzip']
T: Warning -- following test files were found but will not be tested: test_gpr.py, test_hamster.py, test_atlases.py, test_ridge.py
WARNING: You are using DummyReport - no action will be taken. Please install reportlab to enjoy reporting facility within PyMVPA
ok
Test if we are not missing basic parts ... ok
Test if we are not missing basic parts ... ok
Test the group_kwargs decorator ... ok
test_tuebingen_meg (mvpa2.tests.test_meg.MEGTests) ... ok
test_binary_decorator (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_boosted (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_boosted_state_propagation (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Simple test if classifiers can generalize ok on simple data ... ok
To check if known/present Classifiers are working properly ... ok
Simple test if a learner could cope with custom sa not targets ... ok
Test how clf handles degenerate cases ... WARNING: SMLR: detected ties in categories ['L0' 'L1']. Small amount of noise will be injected into result estimates upon prediction to break the ties
ok
test_dummy (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_feature_selection_classifier (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_feature_selection_classifier_with_regression (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Test all classifiers for conformant behavior ... WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: SMLR: detected ties in categories [2]. Small amount of noise will be injected into result estimates upon prediction to break the ties
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: SMLR: detected ties in categories [2]. Small amount of noise will be injected into result estimates upon prediction to break the ties
WARNING: SMLR: detected ties in categories [2]. Small amount of noise will be injected into result estimates upon prediction to break the ties
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
WARNING: kNN: input data is in integers. Overflow on arithmetic operations might result in errors. Please convert dataset's samples into floating datatype if any error is reported.
ok
Test if MappedClassifier could handle a mapper altering number of samples ... ERROR
test_mapped_classifier (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_multiclass_classifier (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Basic tests of metaclass for using regressions as classifiers ... ok
test_retrainables (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Test if binary and multiclass can handle single class training/testing ... WARNING: SMLR: detected ties in categories ['L0']. Small amount of noise will be injected into result estimates upon prediction to break the ties
ok
test_split_classifier (mvpa2.tests.test_clf.ClassifiersTests) ... ok
test_split_classifier_extended (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Basic testing of the clf summary ... ok
test_svms (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Basic tests for TreeClassifier ... ERROR
test_values (mvpa2.tests.test_clf.ClassifiersTests) ... ok
Test If binary regression-based classifiers have proper tag ... ok
Simple tests on regressions ... ok
Simple tests on regressions being used as classifiers ... ok
Test "sensitivities" provided by regressions ... ok
test_knn_state (mvpa2.tests.test_knn.KNNTests) ... ok
test_multivariate (mvpa2.tests.test_knn.KNNTests) ... ok
test_gnb (mvpa2.tests.test_gnb.GNBTests) ... ok
test_cper_class (mvpa2.tests.test_svm.SVMTests) ... ok
test_multivariate (mvpa2.tests.test_svm.SVMTests) ... ERROR
Test if we raise exceptions on incorrect specifications ... ok
test_plr (mvpa2.tests.test_plr.PLRTests) ... ok
test_plr_state (mvpa2.tests.test_plr.PLRTests) ... ok
test_smlr (mvpa2.tests.test_smlr.SMLRTests) ... ok
test_smlr_sensitivities (mvpa2.tests.test_smlr.SMLRTests) ... ok
test_smlr_state (mvpa2.tests.test_smlr.SMLRTests) ... ok
test_more_svd (mvpa2.tests.test_svdmapper.SVDMapperTests) ... ok
test_simple_svd (mvpa2.tests.test_svdmapper.SVDMapperTests) ... ok
test_simple (mvpa2.tests.test_procrust.ProcrusteanMapperTests) ... ok
test_basic_functioning (mvpa2.tests.test_hyperalignment.HyperAlignmentTests) ... ok
test_absolute (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_absolute2 (mvpa2.tests.test_transformers.TransformerTests) ... ok
Basic testing of DistPValue ... ok
test_first_axis_sum_not_zero (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_l1_norm (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_l2_norm (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_over_axis (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_rank_order (mvpa2.tests.test_transformers.TransformerTests) ... ok
test_1d_multispace_searchlight (mvpa2.tests.test_searchlight.SearchlightTests) ... ok
test_chi_square_searchlight (mvpa2.tests.test_searchlight.SearchlightTests) ... ok
test_gnbsearchlight_doc (mvpa2.tests.test_searchlight.SearchlightTests) ... ok
test_partial_searchlight_with_confusion_matrix (mvpa2.tests.test_searchlight.SearchlightTests) ... ok
test_partial_searchlight_with_full_report (mvpa2.tests.test_searchlight.SearchlightTests) ... ok
test_regression_with_additional_sa (mvpa2.tests.test_searchlight.SearchlightTests) ... ERROR
Tests both generic and GNBSearchlight ... FAIL
test_usecase_concordancesl (mvpa2.tests.test_searchlight.SearchlightTests) ... ERROR
test_best_detector (mvpa2.tests.test_rfe.RFETests) ... ok
test_feature_selection_pipeline (mvpa2.tests.test_rfe.RFETests) ... ok
Test feature selector ... ok
Test stopping criterion ... ok
test_james_problem (mvpa2.tests.test_rfe.RFETests) ... ERROR
test_james_problem_multiclass (mvpa2.tests.test_rfe.RFETests) ... ERROR
Test multiple stop criteria ... ok
Test stopping criterion ... ok
Test stopping criterion ... ok
test_rfe (mvpa2.tests.test_rfe.RFETests) ... ok
test_sensitivity_based_feature_selection (mvpa2.tests.test_rfe.RFETests) ... ok
test_ifs (mvpa2.tests.test_ifs.IFSTests) ... ok
test_perturbation_sensitivity_analyzer (mvpa2.tests.test_perturbsensana.PerturbationSensitivityAnalyzerTests) ... ok
test_docstrings (mvpa2.tests.test_suite.SuiteTest) ... FAIL
Test if we are loading fine ... ok
Very basic testing -- just to see if it doesn't crash ... ok
mvpa2.tests.test_collections.test_basic_collectable ... ok
mvpa2.tests.test_collections.test_array_collectable ... ok
mvpa2.tests.test_collections.test_collections ... ok
mvpa2.tests.test_collections.test_conditional_attr ... ok
mvpa2.tests.test_attrmap.test_attrmap ... FAIL
mvpa2.tests.test_attrmap.test_attrmap_conflicts ... ok
mvpa2.tests.test_attrmap.test_attrmap_repr ... ok
mvpa2.tests.test_datasetng.test_from_wizard ... ok
mvpa2.tests.test_datasetng.test_ds_array ... ok
mvpa2.tests.test_datasetng.test_labelschunks_access ... ok
mvpa2.tests.test_datasetng.test_ex_from_masked ... ok
mvpa2.tests.test_datasetng.test_shape_conversion ... ok
mvpa2.tests.test_datasetng.test_multidim_attrs ... ok
mvpa2.tests.test_datasetng.test_samples_shape ... ok
mvpa2.tests.test_datasetng.test_basic_datamapping ... ok
mvpa2.tests.test_datasetng.test_ds_shallowcopy ... ok
mvpa2.tests.test_datasetng.test_ds_deepcopy ... ok
mvpa2.tests.test_datasetng.test_mergeds ... ok
Additional tests for hstacking of datasets ... ok
Test composition of new datasets by addition of existing ones ... ok
mvpa2.tests.test_datasetng.test_combined_samplesfeature_selection ... ok
mvpa2.tests.test_datasetng.test_labelpermutation_randomsampling ... ok
mvpa2.tests.test_datasetng.test_masked_featureselection ... ok
mvpa2.tests.test_datasetng.test_origmask_extraction ... ok
mvpa2.tests.test_datasetng.test_feature_masking ... ok
mvpa2.tests.test_datasetng.test_origid_handling ... ok
mvpa2.tests.test_datasetng.test_idhash ... FAIL
mvpa2.tests.test_datasetng.test_arrayattributes ... ok
mvpa2.tests.test_datasetng.test_repr ... ok
mvpa2.tests.test_datasetng.test_str ... ok
mvpa2.tests.test_datasetng.test_other_samples_dtypes ... SKIP: External scipy is not present thus tests battery skipped
mvpa2.tests.test_datasetng.test_dataset_summary ... ok
mvpa2.tests.test_datasetng.test_h5py_io ... SKIP: External h5py is not present thus tests battery skipped
mvpa2.tests.test_datasetng.test_hollow_samples ... ok
test_aggregation (mvpa2.tests.test_datasetfx.MiscDatasetFxTests) ... ok
test_binds (mvpa2.tests.test_datasetfx.MiscDatasetFxTests) ... ok
Just basic testing for now ... ok
test_invar_features_removal (mvpa2.tests.test_datasetfx.MiscDatasetFxTests) ... ok
Test sequence statistics ... ok
mvpa2.tests.test_dataset_formats.test_format_lightsvm_basic ... ERROR
test_counted_splitting (mvpa2.tests.test_splitter.SplitterTests) ... FAIL
test_custom_split (mvpa2.tests.test_splitter.SplitterTests) ... FAIL
test_discarded_boundaries (mvpa2.tests.test_splitter.SplitterTests) ... ok
test_half_split (mvpa2.tests.test_splitter.SplitterTests) ... FAIL
test_label_splitter (mvpa2.tests.test_splitter.SplitterTests) ... ok
Test NGroupSplitter alongside with the reversal of the ... FAIL
test_nfold_random_counted_selection_partitioner (mvpa2.tests.test_splitter.SplitterTests) ... ok
test_nfold_random_counted_selection_partitioner_huge (mvpa2.tests.test_splitter.SplitterTests) ... ok
test_odd_even_split (mvpa2.tests.test_splitter.SplitterTests) ... FAIL
test_reprs (mvpa2.tests.test_splitter.SplitterTests) ... ok
test_simplest_cv_pat_gen (mvpa2.tests.test_splitter.SplitterTests) ... FAIL
test_slicing (mvpa2.tests.test_splitter.SplitterTests) ... ok
test_splitattr_deprecation (mvpa2.tests.test_splitter.SplitterTests) ... ok
mvpa2.tests.test_generators.test_splitter ... FAIL
mvpa2.tests.test_generators.test_partitionmapper ... ok
mvpa2.tests.test_generators.test_attrpermute ... ok
mvpa2.tests.test_generators.test_balancer ... FAIL
mvpa2.tests.test_generators.test_repeater ... ok
mvpa2.tests.test_generators.test_sifter ... ok
mvpa2.tests.test_generators.test_exclude_targets_combinations ... ok
mvpa2.tests.test_eepdataset.test_eep_load ... ok
mvpa2.tests.test_eepdataset.test_eep_bin ... ok
mvpa2.tests.test_erdataset.test_erdataset ... ok
mvpa2.tests.test_multiclf.test_multiclass_ties ... ok
mvpa2.tests.test_neighborhood.test_distances ... ok
mvpa2.tests.test_neighborhood.test_sphere ... ok
mvpa2.tests.test_neighborhood.test_sphere_distance_func ... ok
mvpa2.tests.test_neighborhood.test_sphere_scaled ... ok
mvpa2.tests.test_neighborhood.test_hollowsphere_basic ... ok
Test either we sustain empty neighborhoods ... WARNING: HollowSphere(radius=1, inner_radius=0, element_sizes=(3, 3, 3)) defines no neighbors
ok
mvpa2.tests.test_neighborhood.test_query_engine ... ok
Test cached query engine ... ERROR
Do some extended testing of OneWayAnova ... ok
Testing null dist probability ... ok
mvpa2.tests.test_mapper.test_flatten ... ok
mvpa2.tests.test_mapper.test_subset ... ok
mvpa2.tests.test_mapper.test_subset_filler ... ok
mvpa2.tests.test_mapper.test_repr ... ok
mvpa2.tests.test_mapper.test_chainmapper ... ok
mvpa2.tests.test_mapper.test_sampleslicemapper ... ok
mvpa2.tests.test_mapper.test_strip_boundary ... ok
mvpa2.tests.test_arraymapper.test_forward_dense_array_mapper ... ok
mvpa2.tests.test_arraymapper.test_reverse_dense_array_mapper ... ok
mvpa2.tests.test_arraymapper.test_mapper_aliases ... ok
mvpa2.tests.test_arraymapper.test_selects ... ok
mvpa2.tests.test_boxcarmapper.test_simpleboxcar ... ok
mvpa2.tests.test_boxcarmapper.test_datasetmapping ... ok
test_size (mvpa2.tests.test_prototypemapper.PrototypeMapperTests) ... ok
test_size_random_prototypes (mvpa2.tests.test_prototypemapper.PrototypeMapperTests) ... ok
test_streamline_equal_mapper (mvpa2.tests.test_prototypemapper.PrototypeMapperTests) ... ok
test_streamline_random_mapper (mvpa2.tests.test_prototypemapper.PrototypeMapperTests) ... ok
test_symmetry (mvpa2.tests.test_prototypemapper.PrototypeMapperTests) ... ok
mvpa2.tests.test_fxmapper.test_samplesgroup_mapper ... FAIL
mvpa2.tests.test_fxmapper.test_fx_native_calls ... ok
mvpa2.tests.test_fxmapper.test_featuregroup_mapper ... FAIL
mvpa2.tests.test_fxmapper.test_fxmapper ... ok
mvpa2.tests.test_fxmapper.test_features01 ... ok
Test by comparing to results of elderly z-score function ... ok
mvpa2.tests.test_zscoremapper.test_zcore_repr ... ok
Test z-scoring transformation ... WARNING: Z-scoring chunk-wise having a chunk with less than three samples will set features in these samples to either zero (with 1 sample in a chunk) or -1/+1 (with 2 samples in a chunk). You have chunks with following number of samples: {0: 1, 1: 1}
WARNING: Z-scoring chunk-wise having a chunk with less than three samples will set features in these samples to either zero (with 1 sample in a chunk) or -1/+1 (with 2 samples in a chunk). You have chunks with following number of samples: {0: 2, 1: 2}
WARNING: Z-scoring chunk-wise having a chunk with only 3 samples is 'discouraged'. You have chunks with following number of samples: {0: 3, 1: 3}
ok
Disabled the test since we have no SpAM yet ... SKIP: skipped SPaM since no SPaM
test_cached_kernel (mvpa2.tests.test_kernel.KernelTests) ... ok
Euclidean distance kernel testing ... ok
Simplistic testing of linear kernel ... ok
test_pnorm_w (mvpa2.tests.test_kernel.KernelTests) ... ok
Statistic Kernels ... ok
mvpa2.tests.test_senses.test_splitclf_sensitivities ... ok
test_noise_classification (mvpa2.tests.test_clfcrossval.CrossValidationTests) ... ok
test_simple_n_minus_one_cv (mvpa2.tests.test_clfcrossval.CrossValidationTests) ... ok
Simple testing of reading RTC files from BrainVoyager ... ok
test_column_data_from_file (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_fsl_ev (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_fsl_ev2 (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_fsl_glm_design (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_read_fsl_design (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_samples_attributes (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
test_sensor_locations (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
Simple testing of helper Design2Labels ... ok
testlabels2chunks (mvpa2.tests.test_iohelpers.IOHelperTests) ... ok
Test AUC computation ... ok
test_confusion_based_error (mvpa2.tests.test_transerror.ErrorsTests) ... ok
test_confusion_call (mvpa2.tests.test_transerror.ErrorsTests) ... ok
test_confusion_matrix (mvpa2.tests.test_transerror.ErrorsTests) ... WARNING: ROC was asked to be evaluated on data with 0 labels which is a degenerate case.
ok
test_confusion_matrix_acc (mvpa2.tests.test_transerror.ErrorsTests) ... SKIP: External scipy is not present thus tests battery skipped
Test confusions addition inconsistent results (GH #51) ... ok
test_confusion_matrix_with_mappings (mvpa2.tests.test_transerror.ErrorsTests) ... ok
Basic test of confusion plot ... ok
test_confusion_plot2 (mvpa2.tests.test_transerror.ErrorsTests) ... ok
test_confusionmatrix_nulldist (mvpa2.tests.test_transerror.ErrorsTests) ... ok
test_degenerate_confusion (mvpa2.tests.test_transerror.ErrorsTests) ... WARNING: ROC was asked to be evaluated on data with 1 labels which is a degenerate case.
WARNING: ROC was asked to be evaluated on data with 1 labels which is a degenerate case.
WARNING: ROC was asked to be evaluated on data with 1 labels which is a degenerate case.
WARNING: ROC was asked to be evaluated on data with 1 labels which is a degenerate case.
ok
test_null_dist_prob (mvpa2.tests.test_transerror.ErrorsTests) ... ok
Test analyzers in split classifier ... ok
Additional aspects of OnewayAnova ... ok
test_basic (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ERROR
test_clf_transfer_measure (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
Test combination of the selectors in a single function ... ok
test_linear_svm_weights (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
test_linear_svm_weights_per_class (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
Test sensitivity of the mapped classifier ... ok
test_pseudo_cv_measure (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
test_repeated_features (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
test_split_featurewise_dataset_measure (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
test_transfer_measure (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
test_union_feature_selection (mvpa2.tests.test_datameasure.SensitivityAnalysersTests) ... ok
mvpa2.tests.test_misc.test_dual_gaussian ... SKIP: 1 tests were skipped in testing test_dual_gaussian
Failure: SkipTest () ... SKIP
Failure: SkipTest (External scipy is not present thus tests battery skipped) ... SKIP: External scipy is not present thus tests battery skipped
Failure: SkipTest (External scipy is not present thus tests battery skipped) ... SKIP: External scipy is not present thus tests battery skipped
Failure: SkipTest (External pywt is not present thus tests battery skipped) ... SKIP: External pywt is not present thus tests battery skipped
Failure: SkipTest (External mdp is not present thus tests battery skipped) ... SKIP: External mdp is not present thus tests battery skipped
Failure: SkipTest (External scipy is not present thus tests battery skipped) ... SKIP: External scipy is not present thus tests battery skipped
Failure: SkipTest (External elasticnet is not present thus tests battery skipped) ... SKIP: External elasticnet is not present thus tests battery skipped
Failure: SkipTest (External lars is not present thus tests battery skipped) ... SKIP: External lars is not present thus tests battery skipped
Failure: SkipTest (External glmnet is not present thus tests battery skipped) ... SKIP: External glmnet is not present thus tests battery skipped
Failure: SkipTest (External shogun is not present thus tests battery skipped) ... SKIP: External shogun is not present thus tests battery skipped
Failure: SkipTest (External scipy is not present thus tests battery skipped) ... SKIP: External scipy is not present thus tests battery skipped
Failure: SkipTest (External h5py is not present thus tests battery skipped) ... SKIP: External h5py is not present thus tests battery skipped
Failure: SkipTest (External h5py is not present thus tests battery skipped) ... SKIP: External h5py is not present thus tests battery skipped
======================================================================
ERROR: test_simple_som (mvpa2.tests.test_som.SOMMapperTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_som.py", line 31, in test_simple_som
som.train(colors)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 131, in train
result = self._train(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/types.py", line 36, in extract_samples
return fx(obj, data)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/mappers/som.py", line 127, in _train
unit_deltas += infl[:,:,np.newaxis] * (s - self._K)
ValueError: operands could not be broadcast together with shapes (9,5,1) (10,5,3)
======================================================================
ERROR: test_parametrized (mvpa2.tests.test_state.StateTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_state.py", line 292, in test_parametrized
a2_str = repr(a2)
NameError: global name 'a2' is not defined
======================================================================
ERROR: Test our ad-hoc SmartVersion
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_support.py", line 222, in test_smart_version
self.assertTrue(SV(v1) < SV(v2),
File "/usr/lib/python3.2/distutils/version.py", line 58, in __lt__
c = self._cmp(other)
AttributeError: 'SmartVersion' object has no attribute '_cmp'
======================================================================
ERROR: Test if MappedClassifier could handle a mapper altering number of samples
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_clf.py", line 1015, in test_gideon_weird_case
errors.append(np.asscalar(te(ds_meaned)))
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 237, in __call__
return super(Learner, self).__call__(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/node.py", line 80, in __call__
result = self._call(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/base.py", line 548, in _call
dstrain = next(dsgen)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/generators/splitters.py", line 102, in generate
cfgs = splattr.unique
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/collections.py", line 237, in unique
self._unique_values = np.unique(arrvalue)
File "/usr/lib/python3/dist-packages/numpy/lib/arraysetops.py", line 191, in unique
ar.sort()
ValueError: operands could not be broadcast together with shapes (9) (90)
======================================================================
ERROR: Basic tests for TreeClassifier
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_clf.py", line 584, in test_tree_classifier
cverror = cv(ds).samples.squeeze()
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 237, in __call__
return super(Learner, self).__call__(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/node.py", line 80, in __call__
result = self._call(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/base.py", line 467, in _call
return super(CrossValidation, self)._call(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/base.py", line 300, in _call
result = node(sds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 237, in __call__
return super(Learner, self).__call__(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/node.py", line 80, in __call__
result = self._call(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/base.py", line 555, in _call
measure.train(dstrain)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 121, in train
result = self._train(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/clfs/meta.py", line 866, in _train
clf.train(ds_group)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 121, in train
result = self._train(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/clfs/plr.py", line 75, in _train
%(set(d),))
ValueError: Regressors for logistic regression should be [0,1]. Got {'L2', 'L3'}
======================================================================
ERROR: test_multivariate (mvpa2.tests.test_svm.SVMTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_svm.py", line 31, in test_multivariate
l_clf = clfswh['linear', 'svm'][0]
IndexError: list index out of range
======================================================================
ERROR: test_regression_with_additional_sa (mvpa2.tests.test_searchlight.SearchlightTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_searchlight.py", line 320, in test_regression_with_additional_sa
regr = regrswh[:][0]
IndexError: list index out of range
======================================================================
ERROR: test_usecase_concordancesl (mvpa2.tests.test_searchlight.SearchlightTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_searchlight.py", line 389, in test_usecase_concordancesl
ds_both = vstack((ds1, ds2))# join 2 images into a single dataset
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/dataset.py", line 675, in vstack
[ds.sa[attr].value for ds in datasets], axis=0)
ValueError: arrays must have same number of dimensions
======================================================================
ERROR: test_james_problem (mvpa2.tests.test_rfe.RFETests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_rfe.py", line 385, in test_james_problem
rfesvm_split = LinearCSVMC()
NameError: global name 'LinearCSVMC' is not defined
======================================================================
ERROR: test_james_problem_multiclass (mvpa2.tests.test_rfe.RFETests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_rfe.py", line 433, in test_james_problem_multiclass
rfesvm_split = LinearCSVMC()
NameError: global name 'LinearCSVMC' is not defined
======================================================================
ERROR: mvpa2.tests.test_dataset_formats.test_format_lightsvm_basic
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_dataset_formats.py", line 26, in test_format_lightsvm_basic
am = to_lightsvm_format(ds, f)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/datasets/formats.py", line 116, in to_lightsvm_format
for i,v in zip(list(range(1, dataset.nfeatures+1)), s))))
TypeError: a float is required
======================================================================
ERROR: Test cached query engine
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_neighborhood.py", line 238, in test_cached_query_engine
res_kw = [q(myspace=x) for x in ds.fa.myspace]
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_neighborhood.py", line 238, in <listcomp>
res_kw = [q(myspace=x) for x in ds.fa.myspace]
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/misc/neighborhood.py", line 330, in __call__
return self.query(**kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/misc/neighborhood.py", line 652, in query
v = self._lookup.get(k, None)
TypeError: unhashable type: 'numpy.ndarray'
======================================================================
ERROR: test_basic (mvpa2.tests.test_datameasure.SensitivityAnalysersTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/sweepargs.py", line 67, in do_sweep
method(*args_, **kwargs_)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_datameasure.py", line 79, in test_basic
self.assertTrue(f[0] > 0.1) # some reasonably large value
TypeError: unorderable types: Dataset() > float()
======================================================================
FAIL: test_id_hash (mvpa2.tests.test_support.SupportFxTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/sweepargs.py", line 133, in do_sweep
raise AssertionError(estr).with_traceback(etb)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_support.py", line 159, in test_id_hash
self.assertTrue(a_1 != a_2, msg="Idhash must change")
AssertionError:
Single scenario lead to failures of unittest test_id_hash:
on
pair=(array([[ -8.67732246e-01, 2.30164844e-01, -1.42720211e+00,
3.14619183e-01, 1.76 ... :
False is not true : Idhash must change
======================================================================
FAIL: Tests both generic and GNBSearchlight
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/sweepargs.py", line 133, in do_sweep
raise AssertionError(estr).with_traceback(etb)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/sweepargs.py", line 133, in do_sweep
raise AssertionError(estr).with_traceback(etb)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_searchlight.py", line 105, in test_spatial_searchlight
results = sl(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/learner.py", line 237, in __call__
return super(Learner, self).__call__(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/base/node.py", line 80, in __call__
result = self._call(ds)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/searchlight.py", line 122, in _call
results, roi_sizes = self._sl_call(dataset, roi_ids, nproc)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/measures/gnbsearchlight.py", line 372, in _sl_call
assert(block_labels.dtype.kind is 'i')
AssertionError:
Single scenario lead to failures of unittest test_spatial_searchlight:
on
common_variance=True :
Single scenario lead to failures of unittest test_spatial_searchlight:
on
do_roi=False
======================================================================
FAIL: test_docstrings (mvpa2.tests.test_suite.SuiteTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_suite.py", line 93, in test_docstrings
self.fail('\n'.join(sfailures))
AssertionError: Some items have missing docstrings:
functions: isSequenceType
======================================================================
FAIL: mvpa2.tests.test_attrmap.test_attrmap
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_attrmap.py", line 30, in test_attrmap
assert_array_equal(am.to_numeric(literal), num_default)
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 636, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 100.0%)
x: array(['eins', 'zwei', 'sieben', 'eins', 'sieben', 'eins'],
dtype='<U6')
y: array([0, 2, 1, 0, 1, 0])
======================================================================
FAIL: mvpa2.tests.test_datasetng.test_idhash
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_datasetng.py", line 665, in test_idhash
msg="Changing value in attribute should change idhash")
File "/usr/lib/python3/dist-packages/nose/tools.py", line 25, in ok_
assert expr, msg
AssertionError: Changing value in attribute should change idhash
======================================================================
FAIL: test_counted_splitting (mvpa2.tests.test_splitter.SplitterTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 323, in test_counted_splitting
self.assertEqual(chosenchunks, list(range(target)))
AssertionError: Lists differ: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... != [0, 1, 2, 3, 4, 5, 6, 7, 8, 9,...
First differing element 1:
0
1
Diff is 1284 characters long. Set self.maxDiff to None to see it.
======================================================================
FAIL: test_custom_split (mvpa2.tests.test_splitter.SplitterTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 248, in test_custom_split
self.assertTrue( p[0].nsamples == 50 )
AssertionError: False is not true
======================================================================
FAIL: test_half_split (mvpa2.tests.test_splitter.SplitterTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 105, in test_half_split
assert_array_equal(splits[0][1].sa['chunks'].unique, [0, 1, 2, 3, 4])
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 600, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(shapes (50,), (5,) mismatch)
x: array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ,
1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1,
2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3. , 3.1, 3.2,...
y: array([0, 1, 2, 3, 4])
======================================================================
FAIL: Test NGroupSplitter alongside with the reversal of the
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 138, in test_n_group_split
[0, 1, 2, 3, 4])
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 600, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(shapes (50,), (5,) mismatch)
x: array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ,
1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1,
2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3. , 3.1, 3.2,...
y: array([0, 1, 2, 3, 4])
======================================================================
FAIL: test_odd_even_split (mvpa2.tests.test_splitter.SplitterTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 79, in test_odd_even_split
assert_array_equal(splits[0][1].sa['chunks'].unique, [1, 3, 5, 7, 9])
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 600, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(shapes (50,), (5,) mismatch)
x: array([ 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1,
2.3, 2.5, 2.7, 2.9, 3.1, 3.3, 3.5, 3.7, 3.9, 4.1, 4.3,
4.5, 4.7, 4.9, 5.1, 5.3, 5.5, 5.7, 5.9, 6.1, 6.3, 6.5,...
y: array([1, 3, 5, 7, 9])
======================================================================
FAIL: test_simplest_cv_pat_gen (mvpa2.tests.test_splitter.SplitterTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_splitter.py", line 57, in test_simplest_cv_pat_gen
self.assertTrue( len(xvpat) == 10 )
AssertionError: False is not true
======================================================================
FAIL: mvpa2.tests.test_generators.test_splitter
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_generators.py", line 62, in test_splitter
assert_equal(len(split.sa['chunks'].unique), 10)
AssertionError: 25 != 10
======================================================================
FAIL: mvpa2.tests.test_generators.test_balancer
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/testing/tools.py", line 158, in newfunc
return func(*arg, **kwargs)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_generators.py", line 165, in test_balancer
assert_almost_equal(np.mean(res.sa.balanced_set), 0.8)
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 468, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 7 decimals
ACTUAL: 1.0
DESIRED: 0.8
======================================================================
FAIL: mvpa2.tests.test_fxmapper.test_samplesgroup_mapper
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_fxmapper.py", line 56, in test_samplesgroup_mapper
assert_array_equal(mapped.targets, clabels)
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 600, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(shapes (4, 2), (4,) mismatch)
x: array([[0, 0],
[1, 1],
[0, 0],
[1, 1]])
y: array([0, 1, 0, 1])
======================================================================
FAIL: mvpa2.tests.test_fxmapper.test_featuregroup_mapper
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/home/tiziano/git/PyMVPA/build/py3k/mvpa2/tests/test_fxmapper.py", line 83, in test_featuregroup_mapper
assert_array_equal(mds.fa.roi, np.unique([0, 1] * 4))
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/lib/python3/dist-packages/numpy/testing/utils.py", line 600, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(shapes (2, 4), (2,) mismatch)
x: array([[0, 0, 0, 0],
[1, 1, 1, 1]])
y: array([0, 1])
----------------------------------------------------------------------
Ran 284 tests in 18.166s
FAILED (SKIP=18, errors=13, failures=15)
make: *** [unittest-py3] Error 1
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