Bug#999528: scikit-learn: FTBFS with numpy 1.21 (in experimental): dh_auto_test: error: pybuild --test -i python{version} -p 3.9 returned exit code 13

Lucas Nussbaum lucas at debian.org
Fri Nov 12 07:25:50 GMT 2021


Source: scikit-learn
Version: 0.23.2-5
Severity: important
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lucas at debian.org
Usertags: ftbfs-numpy121

Hi,

During a rebuild of all packages in sid, your package failed to build
on amd64, using numpy 1.21 currently in experimental. This version
will soon be uploaded to unstable.

If you have questions about this, please contact Sandro Tosi
<morph at debian.org>.

Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>/doc'
> # These two lines make the build a bit more lengthy, and the
> # the embedding of images more robust
> rm -rf _build/html/_images
> #rm -rf _build/doctrees/
> python3.9 -m sphinx -b html -T -d _build/doctrees  -j 4  . _build/html/stable
> Running Sphinx v4.2.0
> making output directory... done
> [autosummary] generating autosummary for: about.rst, authors.rst, authors_emeritus.rst, contents.rst, data_transforms.rst, datasets/index.rst, developers/advanced_installation.rst, developers/contributing.rst, developers/develop.rst, developers/index.rst, ..., whats_new/v0.15.rst, whats_new/v0.16.rst, whats_new/v0.17.rst, whats_new/v0.18.rst, whats_new/v0.19.rst, whats_new/v0.20.rst, whats_new/v0.21.rst, whats_new/v0.22.rst, whats_new/v0.23.rst, whats_new/v0.24.rst
> [autosummary] generating autosummary for: /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.BaseEstimator.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.BiclusterMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.ClassifierMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.ClusterMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.DensityMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.RegressorMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.TransformerMixin.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.clone.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.is_classifier.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.base.is_regressor.rst, ..., /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l1.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l2.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.validation.check_is_fitted.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.validation.check_memory.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.validation.check_symmetric.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.validation.column_or_1d.rst, /<<PKGBUILDDIR>>/doc/modules/generated/sklearn.utils.validation.has_fit_parameter.rst
> loading intersphinx inventory from /usr/share/doc/python3/html/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python-numpy-doc/html/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python-scipy-doc/html/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python-matplotlib-doc/html/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python-pandas-doc/html/objects.inv...
> generating gallery...
> Using Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.
> generating gallery for auto_examples/release_highlights... [ 50%] plot_release_highlights_0_23_0.py
> generating gallery for auto_examples/release_highlights... [100%] plot_release_highlights_0_22_0.py
> WARNING: /<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py", line 220, in <module>
>     titanic = fetch_openml('titanic', version=1, as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/bicluster... [ 33%] plot_spectral_coclustering.py
> generating gallery for auto_examples/bicluster... [ 66%] plot_spectral_biclustering.py
> generating gallery for auto_examples/bicluster... [100%] plot_bicluster_newsgroups.py
> WARNING: /<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py", line 65, in <module>
>     newsgroups = fetch_20newsgroups(categories=categories)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/calibration... [ 25%] plot_compare_calibration.py
> generating gallery for auto_examples/calibration... [ 50%] plot_calibration_curve.py
> generating gallery for auto_examples/calibration... [ 75%] plot_calibration.py
> generating gallery for auto_examples/calibration... [100%] plot_calibration_multiclass.py
> 
> generating gallery for auto_examples/classification... [ 20%] plot_lda.py
> generating gallery for auto_examples/classification... [ 40%] plot_digits_classification.py
> generating gallery for auto_examples/classification... [ 60%] plot_classification_probability.py
> generating gallery for auto_examples/classification... [ 80%] plot_classifier_comparison.py
> generating gallery for auto_examples/classification... [100%] plot_lda_qda.py
> 
> generating gallery for auto_examples/cluster... [  3%] plot_agglomerative_dendrogram.py
> generating gallery for auto_examples/cluster... [  7%] plot_digits_agglomeration.py
> generating gallery for auto_examples/cluster... [ 10%] plot_mean_shift.py
> generating gallery for auto_examples/cluster... [ 14%] plot_kmeans_assumptions.py
> generating gallery for auto_examples/cluster... [ 17%] plot_dict_face_patches.py
> WARNING: /<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py", line 34, in <module>
>     faces = datasets.fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/cluster... [ 21%] plot_face_compress.py
> generating gallery for auto_examples/cluster... [ 25%] plot_affinity_propagation.py
> generating gallery for auto_examples/cluster... [ 28%] plot_agglomerative_clustering.py
> generating gallery for auto_examples/cluster... [ 32%] plot_digits_linkage.py
> generating gallery for auto_examples/cluster... [ 35%] plot_coin_segmentation.py
> generating gallery for auto_examples/cluster... [ 39%] plot_cluster_iris.py
> generating gallery for auto_examples/cluster... [ 42%] plot_segmentation_toy.py
> generating gallery for auto_examples/cluster... [ 46%] plot_coin_ward_segmentation.py
> generating gallery for auto_examples/cluster... [ 50%] plot_dbscan.py
> generating gallery for auto_examples/cluster... [ 53%] plot_color_quantization.py
> generating gallery for auto_examples/cluster... [ 57%] plot_ward_structured_vs_unstructured.py
> generating gallery for auto_examples/cluster... [ 60%] plot_agglomerative_clustering_metrics.py
> generating gallery for auto_examples/cluster... [ 64%] plot_inductive_clustering.py
> generating gallery for auto_examples/cluster... [ 67%] plot_optics.py
> generating gallery for auto_examples/cluster... [ 71%] plot_birch_vs_minibatchkmeans.py
> generating gallery for auto_examples/cluster... [ 75%] plot_kmeans_stability_low_dim_dense.py
> generating gallery for auto_examples/cluster... [ 78%] plot_adjusted_for_chance_measures.py
> generating gallery for auto_examples/cluster... [ 82%] plot_mini_batch_kmeans.py
> generating gallery for auto_examples/cluster... [ 85%] plot_feature_agglomeration_vs_univariate_selection.py
> generating gallery for auto_examples/cluster... [ 89%] plot_kmeans_digits.py
> generating gallery for auto_examples/cluster... [ 92%] plot_linkage_comparison.py
> generating gallery for auto_examples/cluster... [ 96%] plot_kmeans_silhouette_analysis.py
> generating gallery for auto_examples/cluster... [100%] plot_cluster_comparison.py
> 
> generating gallery for auto_examples/covariance... [ 20%] plot_lw_vs_oas.py
> generating gallery for auto_examples/covariance... [ 40%] plot_sparse_cov.py
> generating gallery for auto_examples/covariance... [ 60%] plot_covariance_estimation.py
> generating gallery for auto_examples/covariance... [ 80%] plot_mahalanobis_distances.py
> generating gallery for auto_examples/covariance... [100%] plot_robust_vs_empirical_covariance.py
> 
> generating gallery for auto_examples/cross_decomposition... [100%] plot_compare_cross_decomposition.py
> 
> generating gallery for auto_examples/datasets... [ 25%] plot_digits_last_image.py
> generating gallery for auto_examples/datasets... [ 50%] plot_iris_dataset.py
> generating gallery for auto_examples/datasets... [ 75%] plot_random_dataset.py
> generating gallery for auto_examples/datasets... [100%] plot_random_multilabel_dataset.py
> 
> generating gallery for auto_examples/tree... [ 20%] plot_tree_regression.py
> generating gallery for auto_examples/tree... [ 40%] plot_tree_regression_multioutput.py
> generating gallery for auto_examples/tree... [ 60%] plot_iris_dtc.py
> generating gallery for auto_examples/tree... [ 80%] plot_cost_complexity_pruning.py
> generating gallery for auto_examples/tree... [100%] plot_unveil_tree_structure.py
> 
> generating gallery for auto_examples/decomposition... [  8%] plot_beta_divergence.py
> generating gallery for auto_examples/decomposition... [ 16%] plot_pca_iris.py
> generating gallery for auto_examples/decomposition... [ 25%] plot_incremental_pca.py
> generating gallery for auto_examples/decomposition... [ 33%] plot_pca_vs_lda.py
> generating gallery for auto_examples/decomposition... [ 41%] plot_ica_blind_source_separation.py
> generating gallery for auto_examples/decomposition... [ 50%] plot_pca_3d.py
> generating gallery for auto_examples/decomposition... [ 58%] plot_ica_vs_pca.py
> generating gallery for auto_examples/decomposition... [ 66%] plot_kernel_pca.py
> generating gallery for auto_examples/decomposition... [ 75%] plot_pca_vs_fa_model_selection.py
> generating gallery for auto_examples/decomposition... [ 83%] plot_sparse_coding.py
> generating gallery for auto_examples/decomposition... [ 91%] plot_image_denoising.py
> generating gallery for auto_examples/decomposition... [100%] plot_faces_decomposition.py
> WARNING: /<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py", line 37, in <module>
>     faces, _ = fetch_olivetti_faces(return_X_y=True, shuffle=True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/ensemble... [  4%] plot_forest_importances_faces.py
> WARNING: /<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py", line 25, in <module>
>     data = fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/ensemble... [  8%] plot_adaboost_regression.py
> generating gallery for auto_examples/ensemble... [ 13%] plot_voting_regressor.py
> generating gallery for auto_examples/ensemble... [ 17%] plot_forest_importances.py
> generating gallery for auto_examples/ensemble... [ 21%] plot_monotonic_constraints.py
> generating gallery for auto_examples/ensemble... [ 26%] plot_isolation_forest.py
> generating gallery for auto_examples/ensemble... [ 30%] plot_voting_decision_regions.py
> generating gallery for auto_examples/ensemble... [ 34%] plot_random_forest_regression_multioutput.py
> generating gallery for auto_examples/ensemble... [ 39%] plot_gradient_boosting_quantile.py
> generating gallery for auto_examples/ensemble... [ 43%] plot_gradient_boosting_regularization.py
> generating gallery for auto_examples/ensemble... [ 47%] plot_voting_probas.py
> generating gallery for auto_examples/ensemble... [ 52%] plot_gradient_boosting_regression.py
> generating gallery for auto_examples/ensemble... [ 56%] plot_ensemble_oob.py
> generating gallery for auto_examples/ensemble... [ 60%] plot_adaboost_twoclass.py
> generating gallery for auto_examples/ensemble... [ 65%] plot_random_forest_embedding.py
> generating gallery for auto_examples/ensemble... [ 69%] plot_adaboost_multiclass.py
> generating gallery for auto_examples/ensemble... [ 73%] plot_adaboost_hastie_10_2.py
> generating gallery for auto_examples/ensemble... [ 78%] plot_gradient_boosting_early_stopping.py
> generating gallery for auto_examples/ensemble... [ 82%] plot_feature_transformation.py
> generating gallery for auto_examples/ensemble... [ 86%] plot_gradient_boosting_oob.py
> generating gallery for auto_examples/ensemble... [ 91%] plot_bias_variance.py
> generating gallery for auto_examples/ensemble... [ 95%] plot_forest_iris.py
> generating gallery for auto_examples/ensemble... [100%] plot_stack_predictors.py
> WARNING: /<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 68, in <module>
>     X, y = load_ames_housing()
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 50, in load_ames_housing
>     df = fetch_openml(name="house_prices", as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 369, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, error_msg, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/applications... [  9%] plot_outlier_detection_wine.py
> generating gallery for auto_examples/applications... [ 18%] plot_tomography_l1_reconstruction.py
> generating gallery for auto_examples/applications... [ 27%] plot_topics_extraction_with_nmf_lda.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py", line 57, in <module>
>     data, _ = fetch_20newsgroups(shuffle=True, random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/applications... [ 36%] plot_face_recognition.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py", line 52, in <module>
>     lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 300, in fetch_lfw_people
>     lfw_home, data_folder_path = _check_fetch_lfw(
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 88, in _check_fetch_lfw
>     _fetch_remote(target, dirname=lfw_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/applications... [ 45%] plot_model_complexity_influence.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 128, in <module>
>     classification_data = generate_data('classification', sparse=True)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 50, in generate_data
>     X, y = datasets.fetch_20newsgroups_vectorized(subset='all',
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/applications... [ 54%] plot_stock_market.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py", line 154, in <module>
>     quotes.append(pd.read_csv(url.format(symbol)))
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 688, in read_csv
>     return _read(filepath_or_buffer, kwds)
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 436, in _read
>     fp_or_buf, _, compression, should_close = get_filepath_or_buffer(
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 183, in get_filepath_or_buffer
>     req = urlopen(filepath_or_buffer)
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 137, in urlopen
>     return urllib.request.urlopen(*args, **kwargs)
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/applications... [ 63%] wikipedia_principal_eigenvector.py
> generating gallery for auto_examples/applications... [ 72%] plot_species_distribution_modeling.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 229, in <module>
>     plot_species_distribution()
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 125, in plot_species_distribution
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/applications... [ 81%] svm_gui.py
> generating gallery for auto_examples/applications... [ 90%] plot_prediction_latency.py
> generating gallery for auto_examples/applications... [100%] plot_out_of_core_classification.py
> WARNING: /<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 240, in <module>
>     X_test_text, y_test = get_minibatch(data_stream, 1000)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in get_minibatch
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in <listcomp>
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 167, in stream_reuters_documents
>     urlretrieve(DOWNLOAD_URL, filename=archive_path,
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1375, in http_open
>     return self.do_open(http.client.HTTPConnection, req)
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/feature_selection... [ 14%] plot_rfe_digits.py
> generating gallery for auto_examples/feature_selection... [ 28%] plot_f_test_vs_mi.py
> generating gallery for auto_examples/feature_selection... [ 42%] plot_feature_selection_pipeline.py
> generating gallery for auto_examples/feature_selection... [ 57%] plot_rfe_with_cross_validation.py
> generating gallery for auto_examples/feature_selection... [ 71%] plot_select_from_model_diabetes.py
> generating gallery for auto_examples/feature_selection... [ 85%] plot_permutation_test_for_classification.py
> generating gallery for auto_examples/feature_selection... [100%] plot_feature_selection.py
> 
> generating gallery for auto_examples/mixture... [ 16%] plot_gmm_pdf.py
> generating gallery for auto_examples/mixture... [ 33%] plot_gmm.py
> generating gallery for auto_examples/mixture... [ 50%] plot_gmm_selection.py
> generating gallery for auto_examples/mixture... [ 66%] plot_gmm_covariances.py
> generating gallery for auto_examples/mixture... [ 83%] plot_gmm_sin.py
> generating gallery for auto_examples/mixture... [100%] plot_concentration_prior.py
> 
> generating gallery for auto_examples/gaussian_process... [ 10%] plot_gpc_xor.py
> generating gallery for auto_examples/gaussian_process... [ 20%] plot_gpc_iris.py
> generating gallery for auto_examples/gaussian_process... [ 30%] plot_compare_gpr_krr.py
> generating gallery for auto_examples/gaussian_process... [ 40%] plot_gpr_prior_posterior.py
> generating gallery for auto_examples/gaussian_process... [ 50%] plot_gpc_isoprobability.py
> generating gallery for auto_examples/gaussian_process... [ 60%] plot_gpc.py
> generating gallery for auto_examples/gaussian_process... [ 70%] plot_gpr_noisy.py
> generating gallery for auto_examples/gaussian_process... [ 80%] plot_gpr_noisy_targets.py
> generating gallery for auto_examples/gaussian_process... [ 90%] plot_gpr_co2.py
> WARNING: /<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 102, in <module>
>     X, y = load_mauna_loa_atmospheric_co2()
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 77, in load_mauna_loa_atmospheric_co2
>     ml_data = fetch_openml(data_id=41187)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/gaussian_process... [100%] plot_gpr_on_structured_data.py
> 
> generating gallery for auto_examples/linear_model... [  2%] plot_lasso_lars.py
> generating gallery for auto_examples/linear_model... [  5%] plot_sgd_separating_hyperplane.py
> generating gallery for auto_examples/linear_model... [  8%] plot_ridge_path.py
> generating gallery for auto_examples/linear_model... [ 11%] plot_sgd_loss_functions.py
> generating gallery for auto_examples/linear_model... [ 13%] plot_ols_ridge_variance.py
> generating gallery for auto_examples/linear_model... [ 16%] plot_ridge_coeffs.py
> generating gallery for auto_examples/linear_model... [ 19%] plot_sgd_penalties.py
> generating gallery for auto_examples/linear_model... [ 22%] plot_polynomial_interpolation.py
> generating gallery for auto_examples/linear_model... [ 25%] plot_logistic.py
> generating gallery for auto_examples/linear_model... [ 27%] plot_logistic_path.py
> generating gallery for auto_examples/linear_model... [ 30%] plot_iris_logistic.py
> generating gallery for auto_examples/linear_model... [ 33%] plot_sgd_weighted_samples.py
> generating gallery for auto_examples/linear_model... [ 36%] plot_ols.py
> generating gallery for auto_examples/linear_model... [ 38%] plot_ransac.py
> generating gallery for auto_examples/linear_model... [ 41%] plot_ols_3d.py
> generating gallery for auto_examples/linear_model... [ 44%] plot_huber_vs_ridge.py
> generating gallery for auto_examples/linear_model... [ 47%] plot_lasso_dense_vs_sparse_data.py
> generating gallery for auto_examples/linear_model... [ 50%] plot_sgd_comparison.py
> generating gallery for auto_examples/linear_model... [ 52%] plot_multi_task_lasso_support.py
> generating gallery for auto_examples/linear_model... [ 55%] plot_sparse_logistic_regression_mnist.py
> WARNING: /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py", line 39, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/linear_model... [ 58%] plot_sgd_iris.py
> generating gallery for auto_examples/linear_model... [ 61%] plot_omp.py
> generating gallery for auto_examples/linear_model... [ 63%] plot_lasso_and_elasticnet.py
> generating gallery for auto_examples/linear_model... [ 66%] plot_bayesian_ridge_curvefit.py
> generating gallery for auto_examples/linear_model... [ 69%] plot_theilsen.py
> generating gallery for auto_examples/linear_model... [ 72%] plot_logistic_multinomial.py
> generating gallery for auto_examples/linear_model... [ 75%] plot_robust_fit.py
> generating gallery for auto_examples/linear_model... [ 77%] plot_logistic_l1_l2_sparsity.py
> generating gallery for auto_examples/linear_model... [ 80%] plot_lasso_coordinate_descent_path.py
> generating gallery for auto_examples/linear_model... [ 83%] plot_ard.py
> generating gallery for auto_examples/linear_model... [ 86%] plot_bayesian_ridge.py
> generating gallery for auto_examples/linear_model... [ 88%] plot_lasso_model_selection.py
> generating gallery for auto_examples/linear_model... [ 91%] plot_sparse_logistic_regression_20newsgroups.py
> WARNING: /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py", line 45, in <module>
>     X, y = fetch_20newsgroups_vectorized(subset='all', return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/linear_model... [ 94%] plot_sgd_early_stopping.py
> WARNING: /<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 102, in <module>
>     X, y = load_mnist(n_samples=10000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 61, in load_mnist
>     mnist = fetch_openml('mnist_784', version=1)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/linear_model... [ 97%] plot_poisson_regression_non_normal_loss.py
> WARNING: /<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py", line 58, in <module>
>     df = fetch_openml(data_id=41214, as_frame=True).frame
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/linear_model... [100%] plot_tweedie_regression_insurance_claims.py
> WARNING: /<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 203, in <module>
>     df = load_mtpl2(n_samples=60000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 75, in load_mtpl2
>     df_freq = fetch_openml(data_id=41214, as_frame=True)['data']
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/inspection... [ 25%] plot_permutation_importance_multicollinear.py
> generating gallery for auto_examples/inspection... [ 50%] plot_permutation_importance.py
> WARNING: /<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py", line 53, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/inspection... [ 75%] plot_partial_dependence.py
> WARNING: /<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py", line 57, in <module>
>     cal_housing = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/inspection... [100%] plot_linear_model_coefficient_interpretation.py
> WARNING: /<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py", line 37, in <module>
>     import seaborn as sns
> ModuleNotFoundError: No module named 'seaborn'
> 
> 
> generating gallery for auto_examples/manifold... [ 16%] plot_swissroll.py
> generating gallery for auto_examples/manifold... [ 33%] plot_compare_methods.py
> generating gallery for auto_examples/manifold... [ 50%] plot_mds.py
> generating gallery for auto_examples/manifold... [ 66%] plot_t_sne_perplexity.py
> generating gallery for auto_examples/manifold... [ 83%] plot_manifold_sphere.py
> generating gallery for auto_examples/manifold... [100%] plot_lle_digits.py
> 
> generating gallery for auto_examples/miscellaneous... [  9%] plot_changed_only_pprint_parameter.py
> generating gallery for auto_examples/miscellaneous... [ 18%] plot_roc_curve_visualization_api.py
> generating gallery for auto_examples/miscellaneous... [ 27%] plot_isotonic_regression.py
> generating gallery for auto_examples/miscellaneous... [ 36%] plot_display_object_visualization.py
> WARNING: /<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py", line 32, in <module>
>     X, y = fetch_openml(data_id=1464, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/miscellaneous... [ 45%] plot_partial_dependence_visualization_api.py
> generating gallery for auto_examples/miscellaneous... [ 54%] plot_multioutput_face_completion.py
> WARNING: /<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py", line 28, in <module>
>     data, targets = fetch_olivetti_faces(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/miscellaneous... [ 63%] plot_multilabel.py
> generating gallery for auto_examples/miscellaneous... [ 72%] plot_anomaly_comparison.py
> generating gallery for auto_examples/miscellaneous... [ 81%] plot_johnson_lindenstrauss_bound.py
> WARNING: /<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py", line 125, in <module>
>     data = fetch_20newsgroups_vectorized().data[:500]
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/miscellaneous... [ 90%] plot_kernel_ridge_regression.py
> generating gallery for auto_examples/miscellaneous... [100%] plot_kernel_approximation.py
> 
> generating gallery for auto_examples/impute... [ 50%] plot_iterative_imputer_variants_comparison.py
> WARNING: /<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py", line 61, in <module>
>     X_full, y_full = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/impute... [100%] plot_missing_values.py
> WARNING: /<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py", line 55, in <module>
>     X_california, y_california = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/model_selection... [  6%] plot_cv_predict.py
> generating gallery for auto_examples/model_selection... [ 12%] plot_confusion_matrix.py
> generating gallery for auto_examples/model_selection... [ 18%] plot_validation_curve.py
> generating gallery for auto_examples/model_selection... [ 25%] plot_underfitting_overfitting.py
> generating gallery for auto_examples/model_selection... [ 31%] plot_grid_search_digits.py
> generating gallery for auto_examples/model_selection... [ 37%] plot_randomized_search.py
> generating gallery for auto_examples/model_selection... [ 43%] plot_train_error_vs_test_error.py
> generating gallery for auto_examples/model_selection... [ 50%] plot_roc_crossval.py
> generating gallery for auto_examples/model_selection... [ 56%] plot_nested_cross_validation_iris.py
> generating gallery for auto_examples/model_selection... [ 62%] plot_multi_metric_evaluation.py
> generating gallery for auto_examples/model_selection... [ 68%] grid_search_text_feature_extraction.py
> generating gallery for auto_examples/model_selection... [ 75%] plot_grid_search_refit_callable.py
> generating gallery for auto_examples/model_selection... [ 81%] plot_cv_indices.py
> generating gallery for auto_examples/model_selection... [ 87%] plot_roc.py
> generating gallery for auto_examples/model_selection... [ 93%] plot_precision_recall.py
> generating gallery for auto_examples/model_selection... [100%] plot_learning_curve.py
> 
> generating gallery for auto_examples/multioutput... [100%] plot_classifier_chain_yeast.py
> WARNING: /<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py", line 50, in <module>
>     X, Y = fetch_openml('yeast', version=4, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/neighbors... [  7%] plot_regression.py
> generating gallery for auto_examples/neighbors... [ 15%] plot_lof_outlier_detection.py
> generating gallery for auto_examples/neighbors... [ 23%] plot_classification.py
> generating gallery for auto_examples/neighbors... [ 30%] plot_nearest_centroid.py
> generating gallery for auto_examples/neighbors... [ 38%] plot_digits_kde_sampling.py
> generating gallery for auto_examples/neighbors... [ 46%] plot_caching_nearest_neighbors.py
> generating gallery for auto_examples/neighbors... [ 53%] plot_nca_illustration.py
> generating gallery for auto_examples/neighbors... [ 61%] plot_lof_novelty_detection.py
> generating gallery for auto_examples/neighbors... [ 69%] plot_nca_classification.py
> generating gallery for auto_examples/neighbors... [ 76%] plot_nca_dim_reduction.py
> generating gallery for auto_examples/neighbors... [ 84%] plot_species_kde.py
> WARNING: /<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py", line 84, in <module>
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/neighbors... [ 92%] plot_kde_1d.py
> generating gallery for auto_examples/neighbors... [100%] approximate_nearest_neighbors.py
> 
> generating gallery for auto_examples/neural_networks... [ 25%] plot_mnist_filters.py
> WARNING: /<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py", line 36, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/neural_networks... [ 50%] plot_rbm_logistic_classification.py
> generating gallery for auto_examples/neural_networks... [ 75%] plot_mlp_training_curves.py
> generating gallery for auto_examples/neural_networks... [100%] plot_mlp_alpha.py
> 
> generating gallery for auto_examples/compose... [ 16%] plot_feature_union.py
> generating gallery for auto_examples/compose... [ 33%] plot_digits_pipe.py
> generating gallery for auto_examples/compose... [ 50%] plot_compare_reduction.py
> generating gallery for auto_examples/compose... [ 66%] plot_column_transformer_mixed_types.py
> WARNING: /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py", line 41, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/compose... [ 83%] plot_column_transformer.py
> WARNING: /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py", line 47, in <module>
>     X_train, y_train = fetch_20newsgroups(random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/compose... [100%] plot_transformed_target.py
> 
> generating gallery for auto_examples/preprocessing... [ 14%] plot_function_transformer.py
> generating gallery for auto_examples/preprocessing... [ 28%] plot_discretization.py
> generating gallery for auto_examples/preprocessing... [ 42%] plot_discretization_strategies.py
> generating gallery for auto_examples/preprocessing... [ 57%] plot_scaling_importance.py
> generating gallery for auto_examples/preprocessing... [ 71%] plot_map_data_to_normal.py
> generating gallery for auto_examples/preprocessing... [ 85%] plot_discretization_classification.py
> generating gallery for auto_examples/preprocessing... [100%] plot_all_scaling.py
> WARNING: /<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py", line 69, in <module>
>     dataset = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> generating gallery for auto_examples/semi_supervised... [ 25%] plot_label_propagation_versus_svm_iris.py
> generating gallery for auto_examples/semi_supervised... [ 50%] plot_label_propagation_structure.py
> generating gallery for auto_examples/semi_supervised... [ 75%] plot_label_propagation_digits.py
> generating gallery for auto_examples/semi_supervised... [100%] plot_label_propagation_digits_active_learning.py
> 
> generating gallery for auto_examples/svm... [  6%] plot_svm_nonlinear.py
> generating gallery for auto_examples/svm... [ 13%] plot_separating_hyperplane.py
> generating gallery for auto_examples/svm... [ 20%] plot_custom_kernel.py
> generating gallery for auto_examples/svm... [ 26%] plot_linearsvc_support_vectors.py
> generating gallery for auto_examples/svm... [ 33%] plot_svm_tie_breaking.py
> generating gallery for auto_examples/svm... [ 40%] plot_weighted_samples.py
> generating gallery for auto_examples/svm... [ 46%] plot_separating_hyperplane_unbalanced.py
> generating gallery for auto_examples/svm... [ 53%] plot_svm_kernels.py
> generating gallery for auto_examples/svm... [ 60%] plot_svm_anova.py
> generating gallery for auto_examples/svm... [ 66%] plot_svm_regression.py
> generating gallery for auto_examples/svm... [ 73%] plot_svm_margin.py
> generating gallery for auto_examples/svm... [ 80%] plot_oneclass.py
> generating gallery for auto_examples/svm... [ 86%] plot_iris_svc.py
> generating gallery for auto_examples/svm... [ 93%] plot_svm_scale_c.py
> generating gallery for auto_examples/svm... [100%] plot_rbf_parameters.py
> 
> generating gallery for auto_examples/exercises... [ 25%] plot_digits_classification_exercise.py
> generating gallery for auto_examples/exercises... [ 50%] plot_cv_digits.py
> generating gallery for auto_examples/exercises... [ 75%] plot_iris_exercise.py
> generating gallery for auto_examples/exercises... [100%] plot_cv_diabetes.py
> 
> generating gallery for auto_examples/text... [ 33%] plot_hashing_vs_dict_vectorizer.py
> WARNING: /<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py", line 80, in <module>
>     raw_data, _ = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/text... [ 66%] plot_document_clustering.py
> WARNING: /<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py", line 129, in <module>
>     dataset = fetch_20newsgroups(subset='all', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> generating gallery for auto_examples/text... [100%] plot_document_classification_20newsgroups.py
> WARNING: /<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py failed to execute correctly: Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py", line 120, in <module>
>     data_train = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> computation time summary:
>     - ../examples/model_selection/plot_randomized_search.py:                          131.37 sec   0.0 MB
>     - ../examples/ensemble/plot_gradient_boosting_early_stopping.py:                   52.50 sec   0.0 MB
>     - ../examples/miscellaneous/plot_kernel_ridge_regression.py:                       37.88 sec   0.0 MB
>     - ../examples/cluster/plot_digits_linkage.py:                                      37.11 sec   0.0 MB
>     - ../examples/decomposition/plot_pca_vs_fa_model_selection.py:                     28.06 sec   0.0 MB
>     - ../examples/cluster/plot_cluster_comparison.py:                                  27.23 sec   0.0 MB
>     - ../examples/manifold/plot_lle_digits.py:                                         26.83 sec   0.0 MB
>     - ../examples/model_selection/plot_multi_metric_evaluation.py:                     25.43 sec   0.0 MB
>     - ../examples/decomposition/plot_image_denoising.py:                               24.97 sec   0.0 MB
>     - ../examples/ensemble/plot_gradient_boosting_regularization.py:                   23.78 sec   0.0 MB
>     - ../examples/preprocessing/plot_discretization_classification.py:                 21.26 sec   0.0 MB
>     - ../examples/neural_networks/plot_mlp_alpha.py:                                   19.73 sec   0.0 MB
>     - ../examples/svm/plot_svm_scale_c.py:                                             19.14 sec   0.0 MB
>     - ../examples/linear_model/plot_sgd_comparison.py:                                 16.44 sec   0.0 MB
>     - ../examples/ensemble/plot_ensemble_oob.py:                                       16.39 sec   0.0 MB
>     - ../examples/neighbors/plot_nca_classification.py:                                15.63 sec   0.0 MB
>     - ../examples/compose/plot_digits_pipe.py:                                         12.30 sec   0.0 MB
>     - ../examples/ensemble/plot_adaboost_multiclass.py:                                11.99 sec   0.0 MB
>     - ../examples/cluster/plot_birch_vs_minibatchkmeans.py:                            11.84 sec   0.0 MB
>     - ../examples/manifold/plot_t_sne_perplexity.py:                                   11.55 sec   0.0 MB
>     - ../examples/model_selection/plot_validation_curve.py:                            11.38 sec   0.0 MB
>     - ../examples/applications/plot_prediction_latency.py:                             10.68 sec   0.0 MB
>     - ../examples/neural_networks/plot_rbm_logistic_classification.py:                 10.29 sec   0.0 MB
>     - ../examples/applications/plot_tomography_l1_reconstruction.py:                    9.77 sec   0.0 MB
>     - ../examples/exercises/plot_cv_digits.py:                                          8.75 sec   0.0 MB
>     - ../examples/feature_selection/plot_permutation_test_for_classification.py:        8.34 sec   0.0 MB
>     - ../examples/compose/plot_compare_reduction.py:                                    8.14 sec   0.0 MB
>     - ../examples/cluster/plot_coin_segmentation.py:                                    6.97 sec   0.0 MB
>     - ../examples/manifold/plot_compare_methods.py:                                     6.70 sec   0.0 MB
>     - ../examples/mixture/plot_concentration_prior.py:                                  6.68 sec   0.0 MB
>     - ../examples/ensemble/plot_forest_iris.py:                                         6.46 sec   0.0 MB
>     - ../examples/neural_networks/plot_mlp_training_curves.py:                          5.42 sec   0.0 MB
>     - ../examples/exercises/plot_iris_exercise.py:                                      5.41 sec   0.0 MB
>     - ../examples/ensemble/plot_adaboost_hastie_10_2.py:                                5.38 sec   0.0 MB
>     - ../examples/model_selection/plot_grid_search_refit_callable.py:                   5.37 sec   0.0 MB
>     - ../examples/miscellaneous/plot_partial_dependence_visualization_api.py:           5.28 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpc_iris.py:                                    5.03 sec   0.0 MB
>     - ../examples/model_selection/plot_learning_curve.py:                               4.99 sec   0.0 MB
>     - ../examples/neighbors/plot_digits_kde_sampling.py:                                4.82 sec   0.0 MB
>     - ../examples/model_selection/plot_train_error_vs_test_error.py:                    4.56 sec   0.0 MB
>     - ../examples/miscellaneous/plot_anomaly_comparison.py:                             4.39 sec   0.0 MB
>     - ../examples/manifold/plot_manifold_sphere.py:                                     4.39 sec   0.0 MB
>     - ../examples/neighbors/plot_caching_nearest_neighbors.py:                          4.37 sec   0.0 MB
>     - ../examples/model_selection/plot_nested_cross_validation_iris.py:                 4.36 sec   0.0 MB
>     - ../examples/classification/plot_classifier_comparison.py:                         4.16 sec   0.0 MB
>     - ../examples/inspection/plot_permutation_importance_multicollinear.py:             4.08 sec   0.0 MB
>     - ../examples/classification/plot_lda.py:                                           4.08 sec   0.0 MB
>     - ../examples/svm/plot_rbf_parameters.py:                                           3.91 sec   0.0 MB
>     - ../examples/model_selection/plot_grid_search_digits.py:                           3.90 sec   0.0 MB
>     - ../examples/ensemble/plot_gradient_boosting_oob.py:                               3.71 sec   0.0 MB
>     - ../examples/feature_selection/plot_rfe_digits.py:                                 3.65 sec   0.0 MB
>     - ../examples/gaussian_process/plot_compare_gpr_krr.py:                             3.50 sec   0.0 MB
>     - ../examples/cluster/plot_kmeans_stability_low_dim_dense.py:                       3.45 sec   0.0 MB
>     - ../examples/svm/plot_svm_regression.py:                                           3.36 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpr_noisy.py:                                   2.98 sec   0.0 MB
>     - ../examples/ensemble/plot_feature_transformation.py:                              2.80 sec   0.0 MB
>     - ../examples/covariance/plot_robust_vs_empirical_covariance.py:                    2.77 sec   0.0 MB
>     - ../examples/linear_model/plot_lasso_dense_vs_sparse_data.py:                      2.69 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpc.py:                                         2.53 sec   0.0 MB
>     - ../examples/covariance/plot_lw_vs_oas.py:                                         2.44 sec   0.0 MB
>     - ../examples/linear_model/plot_robust_fit.py:                                      1.98 sec   0.0 MB
>     - ../examples/cluster/plot_linkage_comparison.py:                                   1.95 sec   0.0 MB
>     - ../examples/cluster/plot_inductive_clustering.py:                                 1.94 sec   0.0 MB
>     - ../examples/calibration/plot_calibration_curve.py:                                1.92 sec   0.0 MB
>     - ../examples/feature_selection/plot_rfe_with_cross_validation.py:                  1.86 sec   0.0 MB
>     - ../examples/ensemble/plot_adaboost_twoclass.py:                                   1.86 sec   0.0 MB
>     - ../examples/release_highlights/plot_release_highlights_0_22_0.py:                 1.82 sec   0.0 MB
>     - ../examples/cluster/plot_agglomerative_clustering.py:                             1.79 sec   0.0 MB
>     - ../examples/cluster/plot_face_compress.py:                                        1.69 sec   0.0 MB
>     - ../examples/miscellaneous/plot_kernel_approximation.py:                           1.63 sec   0.0 MB
>     - ../examples/ensemble/plot_gradient_boosting_regression.py:                        1.59 sec   0.0 MB
>     - ../examples/neighbors/plot_nca_dim_reduction.py:                                  1.54 sec   0.0 MB
>     - ../examples/neighbors/plot_classification.py:                                     1.52 sec   0.0 MB
>     - ../examples/preprocessing/plot_map_data_to_normal.py:                             1.47 sec   0.0 MB
>     - ../examples/classification/plot_classification_probability.py:                    1.39 sec   0.0 MB
>     - ../examples/cluster/plot_color_quantization.py:                                   1.24 sec   0.0 MB
>     - ../examples/cluster/plot_kmeans_silhouette_analysis.py:                           1.23 sec   0.0 MB
>     - ../examples/compose/plot_transformed_target.py:                                   1.18 sec   0.0 MB
>     - ../examples/cluster/plot_optics.py:                                               1.15 sec   0.0 MB
>     - ../examples/cluster/plot_agglomerative_clustering_metrics.py:                     1.11 sec   0.0 MB
>     - ../examples/ensemble/plot_bias_variance.py:                                       1.08 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpr_prior_posterior.py:                         1.01 sec   0.0 MB
>     - ../examples/calibration/plot_compare_calibration.py:                              1.00 sec   0.0 MB
>     - ../examples/linear_model/plot_lasso_model_selection.py:                           1.00 sec   0.0 MB
>     - ../examples/release_highlights/plot_release_highlights_0_23_0.py:                 0.96 sec   0.0 MB
>     - ../examples/cluster/plot_adjusted_for_chance_measures.py:                         0.95 sec   0.0 MB
>     - ../examples/model_selection/plot_cv_indices.py:                                   0.80 sec   0.0 MB
>     - ../examples/ensemble/plot_voting_regressor.py:                                    0.77 sec   0.0 MB
>     - ../examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py:        0.77 sec   0.0 MB
>     - ../examples/ensemble/plot_monotonic_constraints.py:                               0.77 sec   0.0 MB
>     - ../examples/bicluster/plot_spectral_biclustering.py:                              0.76 sec   0.0 MB
>     - ../examples/tree/plot_iris_dtc.py:                                                0.75 sec   0.0 MB
>     - ../examples/neighbors/plot_lof_novelty_detection.py:                              0.74 sec   0.0 MB
>     - ../examples/applications/plot_outlier_detection_wine.py:                          0.73 sec   0.0 MB
>     - ../examples/preprocessing/plot_discretization_strategies.py:                      0.71 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpc_xor.py:                                     0.70 sec   0.0 MB
>     - ../examples/cluster/plot_kmeans_digits.py:                                        0.70 sec   0.0 MB
>     - ../examples/calibration/plot_calibration_multiclass.py:                           0.66 sec   0.0 MB
>     - ../examples/svm/plot_svm_tie_breaking.py:                                         0.65 sec   0.0 MB
>     - ../examples/exercises/plot_cv_diabetes.py:                                        0.64 sec   0.0 MB
>     - ../examples/svm/plot_svm_nonlinear.py:                                            0.62 sec   0.0 MB
>     - ../examples/cluster/plot_segmentation_toy.py:                                     0.62 sec   0.0 MB
>     - ../examples/semi_supervised/plot_label_propagation_digits_active_learning.py:     0.60 sec   0.0 MB
>     - ../examples/semi_supervised/plot_label_propagation_versus_svm_iris.py:            0.60 sec   0.0 MB
>     - ../examples/linear_model/plot_theilsen.py:                                        0.60 sec   0.0 MB
>     - ../examples/covariance/plot_sparse_cov.py:                                        0.55 sec   0.0 MB
>     - ../examples/classification/plot_digits_classification.py:                         0.52 sec   0.0 MB
>     - ../examples/linear_model/plot_logistic_l1_l2_sparsity.py:                         0.52 sec   0.0 MB
>     - ../examples/mixture/plot_gmm_sin.py:                                              0.51 sec   0.0 MB
>     - ../examples/ensemble/plot_random_forest_regression_multioutput.py:                0.50 sec   0.0 MB
>     - ../examples/ensemble/plot_gradient_boosting_quantile.py:                          0.49 sec   0.0 MB
>     - ../examples/cluster/plot_kmeans_assumptions.py:                                   0.48 sec   0.0 MB
>     - ../examples/cluster/plot_mean_shift.py:                                           0.47 sec   0.0 MB
>     - ../examples/linear_model/plot_ard.py:                                             0.44 sec   0.0 MB
>     - ../examples/linear_model/plot_bayesian_ridge.py:                                  0.44 sec   0.0 MB
>     - ../examples/ensemble/plot_forest_importances.py:                                  0.43 sec   0.0 MB
>     - ../examples/covariance/plot_covariance_estimation.py:                             0.41 sec   0.0 MB
>     - ../examples/ensemble/plot_isolation_forest.py:                                    0.40 sec   0.0 MB
>     - ../examples/neighbors/plot_kde_1d.py:                                             0.40 sec   0.0 MB
>     - ../examples/ensemble/plot_adaboost_regression.py:                                 0.40 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpr_noisy_targets.py:                           0.40 sec   0.0 MB
>     - ../examples/decomposition/plot_kernel_pca.py:                                     0.40 sec   0.0 MB
>     - ../examples/cluster/plot_coin_ward_segmentation.py:                               0.39 sec   0.0 MB
>     - ../examples/exercises/plot_digits_classification_exercise.py:                     0.38 sec   0.0 MB
>     - ../examples/miscellaneous/plot_johnson_lindenstrauss_bound.py:                    0.37 sec   0.0 MB
>     - ../examples/bicluster/plot_spectral_coclustering.py:                              0.37 sec   0.0 MB
>     - ../examples/cluster/plot_ward_structured_vs_unstructured.py:                      0.37 sec   0.0 MB
>     - ../examples/tree/plot_cost_complexity_pruning.py:                                 0.37 sec   0.0 MB
>     - ../examples/model_selection/plot_roc_crossval.py:                                 0.36 sec   0.0 MB
>     - ../examples/decomposition/plot_sparse_coding.py:                                  0.36 sec   0.0 MB
>     - ../examples/mixture/plot_gmm_selection.py:                                        0.36 sec   0.0 MB
>     - ../examples/ensemble/plot_random_forest_embedding.py:                             0.36 sec   0.0 MB
>     - ../examples/svm/plot_iris_svc.py:                                                 0.36 sec   0.0 MB
>     - ../examples/cluster/plot_cluster_iris.py:                                         0.35 sec   0.0 MB
>     - ../examples/calibration/plot_calibration.py:                                      0.35 sec   0.0 MB
>     - ../examples/ensemble/plot_voting_decision_regions.py:                             0.34 sec   0.0 MB
>     - ../examples/compose/plot_feature_union.py:                                        0.34 sec   0.0 MB
>     - ../examples/linear_model/plot_ridge_coeffs.py:                                    0.32 sec   0.0 MB
>     - ../examples/classification/plot_lda_qda.py:                                       0.32 sec   0.0 MB
>     - ../examples/cluster/plot_affinity_propagation.py:                                 0.31 sec   0.0 MB
>     - ../examples/ensemble/plot_voting_probas.py:                                       0.30 sec   0.0 MB
>     - ../examples/model_selection/plot_roc.py:                                          0.30 sec   0.0 MB
>     - ../examples/linear_model/plot_lasso_coordinate_descent_path.py:                   0.30 sec   0.0 MB
>     - ../examples/svm/plot_weighted_samples.py:                                         0.29 sec   0.0 MB
>     - ../examples/datasets/plot_random_dataset.py:                                      0.28 sec   0.0 MB
>     - ../examples/svm/plot_svm_anova.py:                                                0.28 sec   0.0 MB
>     - ../examples/linear_model/plot_logistic_multinomial.py:                            0.27 sec   0.0 MB
>     - ../examples/manifold/plot_swissroll.py:                                           0.27 sec   0.0 MB
>     - ../examples/decomposition/plot_ica_vs_pca.py:                                     0.27 sec   0.0 MB
>     - ../examples/model_selection/plot_precision_recall.py:                             0.27 sec   0.0 MB
>     - ../examples/semi_supervised/plot_label_propagation_digits.py:                     0.26 sec   0.0 MB
>     - ../examples/tree/plot_tree_regression_multioutput.py:                             0.26 sec   0.0 MB
>     - ../examples/linear_model/plot_sgd_penalties.py:                                   0.25 sec   0.0 MB
>     - ../examples/decomposition/plot_ica_blind_source_separation.py:                    0.24 sec   0.0 MB
>     - ../examples/feature_selection/plot_f_test_vs_mi.py:                               0.24 sec   0.0 MB
>     - ../examples/linear_model/plot_multi_task_lasso_support.py:                        0.24 sec   0.0 MB
>     - ../examples/decomposition/plot_incremental_pca.py:                                0.23 sec   0.0 MB
>     - ../examples/svm/plot_oneclass.py:                                                 0.23 sec   0.0 MB
>     - ../examples/decomposition/plot_beta_divergence.py:                                0.23 sec   0.0 MB
>     - ../examples/cluster/plot_mini_batch_kmeans.py:                                    0.23 sec   0.0 MB
>     - ../examples/mixture/plot_gmm_covariances.py:                                      0.22 sec   0.0 MB
>     - ../examples/neighbors/plot_nearest_centroid.py:                                   0.22 sec   0.0 MB
>     - ../examples/cross_decomposition/plot_compare_cross_decomposition.py:              0.22 sec   0.0 MB
>     - ../examples/gaussian_process/plot_gpr_on_structured_data.py:                      0.22 sec   0.0 MB
>     - ../examples/linear_model/plot_bayesian_ridge_curvefit.py:                         0.22 sec   0.0 MB
>     - ../examples/cluster/plot_digits_agglomeration.py:                                 0.21 sec   0.0 MB
>     - ../examples/preprocessing/plot_scaling_importance.py:                             0.21 sec   0.0 MB
>     - ../examples/covariance/plot_mahalanobis_distances.py:                             0.20 sec   0.0 MB
>     - ../examples/miscellaneous/plot_multilabel.py:                                     0.20 sec   0.0 MB
>     - ../examples/linear_model/plot_omp.py:                                             0.20 sec   0.0 MB
>     - ../examples/decomposition/plot_pca_vs_lda.py:                                     0.20 sec   0.0 MB
>     - ../examples/model_selection/plot_underfitting_overfitting.py:                     0.20 sec   0.0 MB
>     - ../examples/linear_model/plot_ols_ridge_variance.py:                              0.20 sec   0.0 MB
>     - ../examples/linear_model/plot_ols_3d.py:                                          0.19 sec   0.0 MB
>     - ../examples/model_selection/plot_confusion_matrix.py:                             0.19 sec   0.0 MB
>     - ../examples/svm/plot_svm_kernels.py:                                              0.19 sec   0.0 MB
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> 
> copying static files... done
> copying extra files... done
> dumping search index in English (code: en)... done
> dumping object inventory... done
> build succeeded, 116 warnings.
> 
> The HTML pages are in _build/html/stable.
> 
> Sphinx-Gallery successfully executed 219 out of 254 files subselected by:
> 
>     gallery_conf["filename_pattern"] = '/plot'
>     gallery_conf["ignore_pattern"]   = '__init__\\.py'
> 
> after excluding 0 files that had previously been run (based on MD5).
> 
> 
> Traceback (most recent call last):
>   File "/usr/lib/python3/dist-packages/sphinx/cmd/build.py", line 280, in build_main
>     app.build(args.force_all, filenames)
>   File "/usr/lib/python3/dist-packages/sphinx/application.py", line 374, in build
>     self.events.emit('build-finished', None)
>   File "/usr/lib/python3/dist-packages/sphinx/events.py", line 101, in emit
>     results.append(listener.handler(self.app, *args))
>   File "/usr/lib/python3/dist-packages/sphinx_gallery/gen_gallery.py", line 723, in summarize_failing_examples
>     raise ExtensionError(fail_message)
> sphinx.errors.ExtensionError: Here is a summary of the problems encountered when running the examples
> 
> Unexpected failing examples:
> /<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py", line 57, in <module>
>     cal_housing = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py", line 129, in <module>
>     dataset = fetch_20newsgroups(subset='all', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py", line 39, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py", line 52, in <module>
>     lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 300, in fetch_lfw_people
>     lfw_home, data_folder_path = _check_fetch_lfw(
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 88, in _check_fetch_lfw
>     _fetch_remote(target, dirname=lfw_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py", line 45, in <module>
>     X, y = fetch_20newsgroups_vectorized(subset='all', return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py", line 84, in <module>
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py", line 120, in <module>
>     data_train = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py", line 69, in <module>
>     dataset = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py", line 58, in <module>
>     df = fetch_openml(data_id=41214, as_frame=True).frame
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py", line 154, in <module>
>     quotes.append(pd.read_csv(url.format(symbol)))
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 688, in read_csv
>     return _read(filepath_or_buffer, kwds)
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 436, in _read
>     fp_or_buf, _, compression, should_close = get_filepath_or_buffer(
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 183, in get_filepath_or_buffer
>     req = urlopen(filepath_or_buffer)
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 137, in urlopen
>     return urllib.request.urlopen(*args, **kwargs)
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py", line 55, in <module>
>     X_california, y_california = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py", line 37, in <module>
>     import seaborn as sns
> ModuleNotFoundError: No module named 'seaborn'
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py", line 32, in <module>
>     X, y = fetch_openml(data_id=1464, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py", line 53, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 128, in <module>
>     classification_data = generate_data('classification', sparse=True)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 50, in generate_data
>     X, y = datasets.fetch_20newsgroups_vectorized(subset='all',
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 102, in <module>
>     X, y = load_mauna_loa_atmospheric_co2()
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 77, in load_mauna_loa_atmospheric_co2
>     ml_data = fetch_openml(data_id=41187)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py", line 37, in <module>
>     faces, _ = fetch_olivetti_faces(return_X_y=True, shuffle=True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py", line 25, in <module>
>     data = fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 229, in <module>
>     plot_species_distribution()
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 125, in plot_species_distribution
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py", line 28, in <module>
>     data, targets = fetch_olivetti_faces(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py", line 36, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py", line 61, in <module>
>     X_full, y_full = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py", line 50, in <module>
>     X, Y = fetch_openml('yeast', version=4, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 68, in <module>
>     X, y = load_ames_housing()
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 50, in load_ames_housing
>     df = fetch_openml(name="house_prices", as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 369, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, error_msg, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py", line 41, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 102, in <module>
>     X, y = load_mnist(n_samples=10000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 61, in load_mnist
>     mnist = fetch_openml('mnist_784', version=1)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py", line 220, in <module>
>     titanic = fetch_openml('titanic', version=1, as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py", line 65, in <module>
>     newsgroups = fetch_20newsgroups(categories=categories)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 240, in <module>
>     X_test_text, y_test = get_minibatch(data_stream, 1000)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in get_minibatch
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in <listcomp>
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 167, in stream_reuters_documents
>     urlretrieve(DOWNLOAD_URL, filename=archive_path,
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1375, in http_open
>     return self.do_open(http.client.HTTPConnection, req)
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py", line 34, in <module>
>     faces = datasets.fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 203, in <module>
>     df = load_mtpl2(n_samples=60000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 75, in load_mtpl2
>     df_freq = fetch_openml(data_id=41214, as_frame=True)['data']
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py", line 80, in <module>
>     raw_data, _ = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py", line 57, in <module>
>     data, _ = fetch_20newsgroups(shuffle=True, random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py", line 47, in <module>
>     X_train, y_train = fetch_20newsgroups(random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py", line 125, in <module>
>     data = fetch_20newsgroups_vectorized().data[:500]
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> -------------------------------------------------------------------------------
> 
> Extension error:
> Here is a summary of the problems encountered when running the examples
> 
> Unexpected failing examples:
> /<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_partial_dependence.py", line 57, in <module>
>     cal_housing = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_clustering.py", line 129, in <module>
>     dataset = fetch_20newsgroups(subset='all', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_mnist.py", line 39, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_face_recognition.py", line 52, in <module>
>     lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 300, in fetch_lfw_people
>     lfw_home, data_folder_path = _check_fetch_lfw(
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_lfw.py", line 88, in _check_fetch_lfw
>     _fetch_remote(target, dirname=lfw_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py", line 45, in <module>
>     X, y = fetch_20newsgroups_vectorized(subset='all', return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neighbors/plot_species_kde.py", line 84, in <module>
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_document_classification_20newsgroups.py", line 120, in <module>
>     data_train = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/preprocessing/plot_all_scaling.py", line 69, in <module>
>     dataset = fetch_california_housing()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_poisson_regression_non_normal_loss.py", line 58, in <module>
>     df = fetch_openml(data_id=41214, as_frame=True).frame
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_stock_market.py", line 154, in <module>
>     quotes.append(pd.read_csv(url.format(symbol)))
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 688, in read_csv
>     return _read(filepath_or_buffer, kwds)
>   File "/usr/lib/python3/dist-packages/pandas/io/parsers.py", line 436, in _read
>     fp_or_buf, _, compression, should_close = get_filepath_or_buffer(
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 183, in get_filepath_or_buffer
>     req = urlopen(filepath_or_buffer)
>   File "/usr/lib/python3/dist-packages/pandas/io/common.py", line 137, in urlopen
>     return urllib.request.urlopen(*args, **kwargs)
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_missing_values.py", line 55, in <module>
>     X_california, y_california = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_linear_model_coefficient_interpretation.py", line 37, in <module>
>     import seaborn as sns
> ModuleNotFoundError: No module named 'seaborn'
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_display_object_visualization.py", line 32, in <module>
>     X, y = fetch_openml(data_id=1464, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/inspection/plot_permutation_importance.py", line 53, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 128, in <module>
>     classification_data = generate_data('classification', sparse=True)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_model_complexity_influence.py", line 50, in generate_data
>     X, y = datasets.fetch_20newsgroups_vectorized(subset='all',
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 102, in <module>
>     X, y = load_mauna_loa_atmospheric_co2()
>   File "/<<PKGBUILDDIR>>/examples/gaussian_process/plot_gpr_co2.py", line 77, in load_mauna_loa_atmospheric_co2
>     ml_data = fetch_openml(data_id=41187)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/decomposition/plot_faces_decomposition.py", line 37, in <module>
>     faces, _ = fetch_olivetti_faces(return_X_y=True, shuffle=True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_forest_importances_faces.py", line 25, in <module>
>     data = fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 229, in <module>
>     plot_species_distribution()
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_species_distribution_modeling.py", line 125, in plot_species_distribution
>     data = fetch_species_distributions()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_species_distributions.py", line 233, in fetch_species_distributions
>     samples_path = _fetch_remote(SAMPLES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_multioutput_face_completion.py", line 28, in <module>
>     data, targets = fetch_olivetti_faces(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/neural_networks/plot_mnist_filters.py", line 36, in <module>
>     X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/impute/plot_iterative_imputer_variants_comparison.py", line 61, in <module>
>     X_full, y_full = fetch_california_housing(return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_california_housing.py", line 135, in fetch_california_housing
>     archive_path = _fetch_remote(ARCHIVE, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/multioutput/plot_classifier_chain_yeast.py", line 50, in <module>
>     X, Y = fetch_openml('yeast', version=4, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 68, in <module>
>     X, y = load_ames_housing()
>   File "/<<PKGBUILDDIR>>/examples/ensemble/plot_stack_predictors.py", line 50, in load_ames_housing
>     df = fetch_openml(name="house_prices", as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 369, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, error_msg, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer_mixed_types.py", line 41, in <module>
>     X, y = fetch_openml("titanic", version=1, as_frame=True, return_X_y=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 102, in <module>
>     X, y = load_mnist(n_samples=10000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_sgd_early_stopping.py", line 61, in load_mnist
>     mnist = fetch_openml('mnist_784', version=1)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/release_highlights/plot_release_highlights_0_22_0.py", line 220, in <module>
>     titanic = fetch_openml('titanic', version=1, as_frame=True)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 738, in fetch_openml
>     data_info = _get_data_info_by_name(name, version, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 381, in _get_data_info_by_name
>     json_data = _get_json_content_from_openml_api(url, None, False,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/bicluster/plot_bicluster_newsgroups.py", line 65, in <module>
>     newsgroups = fetch_20newsgroups(categories=categories)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 240, in <module>
>     X_test_text, y_test = get_minibatch(data_stream, 1000)
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in get_minibatch
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 217, in <listcomp>
>     data = [('{title}\n\n{body}'.format(**doc), pos_class in doc['topics'])
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_out_of_core_classification.py", line 167, in stream_reuters_documents
>     urlretrieve(DOWNLOAD_URL, filename=archive_path,
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1375, in http_open
>     return self.do_open(http.client.HTTPConnection, req)
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/cluster/plot_dict_face_patches.py", line 34, in <module>
>     faces = datasets.fetch_olivetti_faces()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_olivetti_faces.py", line 111, in fetch_olivetti_faces
>     mat_path = _fetch_remote(FACES, dirname=data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 203, in <module>
>     df = load_mtpl2(n_samples=60000)
>   File "/<<PKGBUILDDIR>>/examples/linear_model/plot_tweedie_regression_insurance_claims.py", line 75, in load_mtpl2
>     df_freq = fetch_openml(data_id=41214, as_frame=True)['data']
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 752, in fetch_openml
>     data_description = _get_data_description_by_id(data_id, data_home)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 401, in _get_data_description_by_id
>     json_data = _get_json_content_from_openml_api(url, error_message, True,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 161, in _get_json_content_from_openml_api
>     return _load_json()
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 61, in wrapper
>     return f(*args, **kw)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 157, in _load_json
>     with closing(_open_openml_url(url, data_home)) as response:
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_openml.py", line 106, in _open_openml_url
>     with closing(urlopen(req)) as fsrc:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/text/plot_hashing_vs_dict_vectorizer.py", line 80, in <module>
>     raw_data, _ = fetch_20newsgroups(subset='train', categories=categories,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/applications/plot_topics_extraction_with_nmf_lda.py", line 57, in <module>
>     data, _ = fetch_20newsgroups(shuffle=True, random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/compose/plot_column_transformer.py", line 47, in <module>
>     X_train, y_train = fetch_20newsgroups(random_state=1,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> /<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py failed leaving traceback:
> Traceback (most recent call last):
>   File "/<<PKGBUILDDIR>>/examples/miscellaneous/plot_johnson_lindenstrauss_bound.py", line 125, in <module>
>     data = fetch_20newsgroups_vectorized().data[:500]
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 419, in fetch_20newsgroups_vectorized
>     data_train = fetch_20newsgroups(data_home=data_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/utils/validation.py", line 72, in inner_f
>     return f(**kwargs)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 258, in fetch_20newsgroups
>     cache = _download_20newsgroups(target_dir=twenty_home,
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_twenty_newsgroups.py", line 74, in _download_20newsgroups
>     archive_path = _fetch_remote(ARCHIVE, dirname=target_dir)
>   File "/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/datasets/_base.py", line 1181, in _fetch_remote
>     urlretrieve(remote.url, file_path)
>   File "/usr/lib/python3.9/urllib/request.py", line 239, in urlretrieve
>     with contextlib.closing(urlopen(url, data)) as fp:
>   File "/usr/lib/python3.9/urllib/request.py", line 214, in urlopen
>     return opener.open(url, data, timeout)
>   File "/usr/lib/python3.9/urllib/request.py", line 517, in open
>     response = self._open(req, data)
>   File "/usr/lib/python3.9/urllib/request.py", line 534, in _open
>     result = self._call_chain(self.handle_open, protocol, protocol +
>   File "/usr/lib/python3.9/urllib/request.py", line 494, in _call_chain
>     result = func(*args)
>   File "/usr/lib/python3.9/urllib/request.py", line 1389, in https_open
>     return self.do_open(http.client.HTTPSConnection, req,
>   File "/usr/lib/python3.9/urllib/request.py", line 1349, in do_open
>     raise URLError(err)
> urllib.error.URLError: <urlopen error [Errno -2] Name or service not known>
> 
> 
> -------------------------------------------------------------------------------
> make[1]: *** [Makefile:47: html] Error 2
> make[1]: Leaving directory '/<<PKGBUILDDIR>>/doc'
>    dh_auto_test -O--buildsystem=pybuild -Npython3-sklearn -Npython-sklearn-doc
> I: pybuild pybuild:285:   (mv /<<PKGBUILDDIR>>/sklearn/conftest.py /<<PKGBUILDDIR>>/sklearn/conftest.py.test; mv /<<PKGBUILDDIR>>/sklearn/datasets/tests/conftest.py /<<PKGBUILDDIR>>/sklearn/datasets/tests/conftest.py.test; cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build && python3.9 -c 'import sklearn; sklearn.show_versions()')
> 
> System:
>     python: 3.9.7 (default, Sep 24 2021, 09:43:00)  [GCC 10.3.0]
> executable: /usr/bin/python3.9
>    machine: Linux-4.19.0-6-cloud-amd64-x86_64-with-glibc2.32
> 
> Python dependencies:
>           pip: None
>    setuptools: 58.2.0
>       sklearn: 0.23.2
>         numpy: 1.21.2
>         scipy: 1.7.1
>        Cython: 0.29.24
>        pandas: 1.1.5
>    matplotlib: 3.3.4
>        joblib: 0.17.0
> threadpoolctl: 2.1.0
> 
> Built with OpenMP: True
> I: pybuild base:232: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build; python3.9 -m pytest -m "not network" -v -k "not test_old_pickle and not test_ard_accuracy_on_easy_problem"
> ============================= test session starts ==============================
> platform linux -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-0.13.0 -- /usr/bin/python3.9
> cachedir: .pytest_cache
> rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg
> collecting ... collected 15932 items / 201 deselected / 15731 selected
> 
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family0-expected0] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family1-expected1] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family2-expected2] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family3-expected3] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family4-expected4] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_family_bounds[family5-expected5] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_invalid_distribution_bound PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_tweedie_distribution_power PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family0-chk_values0] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family1-chk_values1] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family2-chk_values2] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family3-chk_values3] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family4-chk_values4] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family5-chk_values5] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family6-chk_values6] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family7-chk_values7] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_zero[family8-chk_values8] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[NormalDistribution] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[PoissonDistribution] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[GammaDistribution] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[InverseGaussianDistribution] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[TweedieDistribution0] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[TweedieDistribution1] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[TweedieDistribution2] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[TweedieDistribution3] PASSED [  0%]
> sklearn/_loss/tests/test_glm_distribution.py::test_deviance_derivative[TweedieDistribution4] PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_predict PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_predict_error PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_fit_non_convergence PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_mutual_similarities PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_predict_non_convergence PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_non_convergence_regressiontest PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_equal_similarities_and_preferences PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_random_state PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_random_state_warning PASSED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_convergence_warning_dense_sparse[centers0] FAILED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_convergence_warning_dense_sparse[centers1] FAILED [  0%]
> sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_float32 PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_get_submatrix PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_spectral_coclustering PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_spectral_biclustering PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_scale_normalize PASSED     [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_bistochastic_normalize PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_log_normalize PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_fit_best_piecewise PASSED  [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_project_and_cluster PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_perfect_checkerboard PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args0] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args1] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args2] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args3] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args4] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args5] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args6] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_errors[args7] PASSED       [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_wrong_shape PASSED         [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est1] PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_jobs_deprecated[None-SpectralBiclustering] PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_jobs_deprecated[None-SpectralCoclustering] PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_jobs_deprecated[1-SpectralBiclustering] PASSED [  0%]
> sklearn/cluster/tests/test_bicluster.py::test_n_jobs_deprecated[1-SpectralCoclustering] PASSED [  0%]
> sklearn/cluster/tests/test_birch.py::test_n_samples_leaves_roots PASSED  [  0%]
> sklearn/cluster/tests/test_birch.py::test_partial_fit PASSED             [  0%]
> sklearn/cluster/tests/test_birch.py::test_birch_predict PASSED           [  0%]
> sklearn/cluster/tests/test_birch.py::test_n_clusters PASSED              [  0%]
> sklearn/cluster/tests/test_birch.py::test_sparse_X PASSED                [  0%]
> sklearn/cluster/tests/test_birch.py::test_branching_factor PASSED        [  0%]
> sklearn/cluster/tests/test_birch.py::test_threshold PASSED               [  0%]
> sklearn/cluster/tests/test_birch.py::test_birch_n_clusters_long_int PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_similarity PASSED      [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_feature PASSED         [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_sparse PASSED          [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_sparse_precomputed[False] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_sparse_precomputed[True] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_sparse_precomputed_different_eps PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_input_not_modified[precomputed-True] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_input_not_modified[precomputed-False] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_input_not_modified[minkowski-True] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_input_not_modified[minkowski-False] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_no_core_samples PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_callable PASSED        [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_metric_params PASSED   [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_balltree PASSED        [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_input_validation PASSED       [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_badargs[args0] PASSED  [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_badargs[args1] PASSED  [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_badargs[args2] PASSED  [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_badargs[args3] PASSED  [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_badargs[args4] PASSED  [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_pickle PASSED                 [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_boundaries PASSED             [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_weighted_dbscan PASSED        [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_core_samples_toy[brute] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_core_samples_toy[kd_tree] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_core_samples_toy[ball_tree] PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_precomputed_metric_with_degenerate_input_arrays PASSED [  0%]
> sklearn/cluster/tests/test_dbscan.py::test_dbscan_precomputed_metric_with_initial_rows_zero PASSED [  0%]
> sklearn/cluster/tests/test_feature_agglomeration.py::test_feature_agglomeration PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_linkage_misc PASSED     [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_structured_linkage_tree PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_unstructured_linkage_tree PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_height_linkage_tree PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_wrong_arg_memory PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_zero_cosine_linkage_tree PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_ward_agglomeration PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_single_linkage_clustering PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_sparse_scikit_vs_scipy PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_vector_scikit_single_vs_scipy_single[0] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_vector_scikit_single_vs_scipy_single[1] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_vector_scikit_single_vs_scipy_single[2] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_vector_scikit_single_vs_scipy_single[3] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_vector_scikit_single_vs_scipy_single[4] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_identical_points PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_connectivity_propagation PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_ward_tree_children_order PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_ward_linkage_tree_return_distance PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_connectivity_fixing_non_lil PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_int_float_dict PASSED   [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_connectivity_callable PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_connectivity_ignores_diagonal PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_compute_full_tree PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_n_components PASSED     [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agg_n_clusters PASSED   [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold[ward] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold[complete] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold[average] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_small_distance_threshold PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_cluster_distances_with_distance_threshold PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[0.5-y_true0-ward] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[0.5-y_true0-complete] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[0.5-y_true0-average] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.0-y_true1-ward] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.0-y_true1-complete] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.0-y_true1-average] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.5-y_true2-ward] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.5-y_true2-complete] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_agglomerative_clustering_with_distance_threshold_edge_case[1.5-y_true2-average] PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_dist_threshold_invalid_parameters PASSED [  0%]
> sklearn/cluster/tests/test_hierarchical.py::test_invalid_shape_precomputed_dist_matrix PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float32-full-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float32-full-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float32-elkan-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float32-elkan-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float64-full-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float64-full-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float64-elkan-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_results[float64-elkan-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocated_clusters[full-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocated_clusters[full-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocated_clusters[elkan-dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocated_clusters[elkan-sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocate_empty_clusters[dense] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_relocate_empty_clusters[sparse] PASSED [  0%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0.01-dense-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0.01-dense-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0.01-sparse-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0.01-sparse-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-08-dense-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-08-dense-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-08-sparse-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-08-sparse-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-100-dense-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-100-dense-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-100-sparse-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[1e-100-sparse-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0-dense-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0-dense-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0-sparse-normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_elkan_results[0-sparse-blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_convergence[full] SKIPPED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_convergence[elkan] SKIPPED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_elkan_results_sparse[normal] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_elkan_results_sparse[blobs] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_labels_assignment_and_inertia PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_update_consistency PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_new_centers PASSED   [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[random-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[random-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[k-means++-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[k-means++-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[init2-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init[init2-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_partial_fit_init[random] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_partial_fit_init[k-means++] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_partial_fit_init[ndarray] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_partial_fit_init[callable] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fortran_aligned_data PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-asarray-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-asarray-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-asarray-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-asarray-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-csr_matrix-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-csr_matrix-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-csr_matrix-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[0-2-1e-07-csr_matrix-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-asarray-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-asarray-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-asarray-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-asarray-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-csr_matrix-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-csr_matrix-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-csr_matrix-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[1-2-0.1-csr_matrix-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-asarray-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-asarray-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-asarray-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-asarray-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-csr_matrix-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-csr_matrix-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-csr_matrix-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[3-300-1e-07-csr_matrix-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-asarray-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-asarray-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-asarray-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-asarray-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-csr_matrix-float32-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-csr_matrix-float32-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-csr_matrix-float64-full] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_fit_predict[4-300-0.1-csr_matrix-float64-elkan] FAILED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_verbose PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_verbose[0.01-full] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_verbose[0.01-elkan] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_verbose[0-full] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_verbose[0-elkan] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_warning_init_size PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init_multiple_runs_with_explicit_centers PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[random-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[random-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[k-means++-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[k-means++-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[init2-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_k_means_init[init2-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_sensible_reassign_fit PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_sensible_reassign_partial_fit PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_reassign PASSED    [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_with_many_reassignments PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_sparse_mb_k_means_callable_init PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_mini_batch_k_means_random_init_partial_fit PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_default_init_size PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_tol PASSED         [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_set_init_size PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_copyx PASSED         [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_non_collapsed PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_score[full] PASSED           [  1%]
> sklearn/cluster/tests/test_k_means.py::test_score[elkan] PASSED          [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[random-dense-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[random-dense-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[random-sparse-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[random-sparse-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[k-means++-dense-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[k-means++-dense-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[k-means++-sparse-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[k-means++-sparse-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[init2-dense-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[init2-dense-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[init2-sparse-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict[init2-sparse-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict_minibatch_dense_sparse[random] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict_minibatch_dense_sparse[k-means++] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict_minibatch_dense_sparse[init2] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_int_input PASSED             [  1%]
> sklearn/cluster/tests/test_k_means.py::test_transform PASSED             [  1%]
> sklearn/cluster/tests/test_k_means.py::test_fit_transform PASSED         [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict_equal_labels[full] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_predict_equal_labels[elkan] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_full_vs_elkan PASSED         [  1%]
> sklearn/cluster/tests/test_k_means.py::test_n_init PASSED                [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_function PASSED      [  1%]
> sklearn/cluster/tests/test_k_means.py::test_x_squared_norms_init_centroids PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_float_precision[KMeans-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_float_precision[KMeans-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_float_precision[MiniBatchKMeans-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_float_precision[MiniBatchKMeans-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init_centers PASSED  [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init_fitted_centers[dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_init_fitted_centers[sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_less_centers_than_unique_points PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_weighted_vs_repeated PASSED  [  1%]
> sklearn/cluster/tests/test_k_means.py::test_unit_weights_vs_no_weights PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_scaled_weights PASSED        [  1%]
> sklearn/cluster/tests/test_k_means.py::test_iter_attribute PASSED        [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_empty_cluster_relocated PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_partial_fit_int_data PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_result_of_kmeans_equal_in_diff_n_threads PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_precompute_distance_deprecated[auto] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_precompute_distance_deprecated[False] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_precompute_distance_deprecated[True] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_n_jobs_deprecated[None] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_n_jobs_deprecated[1] PASSED  [  1%]
> sklearn/cluster/tests/test_k_means.py::test_warning_elkan_1_cluster PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_error_wrong_algorithm PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_1_iteration[full-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_1_iteration[full-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_1_iteration[elkan-dense] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_k_means_1_iteration[elkan-sparse] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_euclidean_distance[True-float32] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_euclidean_distance[True-float64] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_euclidean_distance[False-float32] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_euclidean_distance[False-float64] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_inertia[float32] PASSED      [  1%]
> sklearn/cluster/tests/test_k_means.py::test_inertia[float64] PASSED      [  1%]
> sklearn/cluster/tests/test_k_means.py::test_sample_weight_unchanged PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param0-n_init should be > 0-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param0-n_init should be > 0-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param1-max_iter should be > 0-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param1-max_iter should be > 0-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param2-n_samples.* should be >= n_clusters-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param2-n_samples.* should be >= n_clusters-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param3-The shape of the initial centers .* does not match the number of clusters-KMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param3-The shape of the initial centers .* does not match the number of clusters-MiniBatchKMeans] PASSED [  1%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param4-The shape of the initial centers .* does not match the number of clusters-KMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param4-The shape of the initial centers .* does not match the number of clusters-MiniBatchKMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param5-The shape of the initial centers .* does not match the number of features of the data-KMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param5-The shape of the initial centers .* does not match the number of features of the data-MiniBatchKMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param6-The shape of the initial centers .* does not match the number of features of the data-KMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param6-The shape of the initial centers .* does not match the number of features of the data-MiniBatchKMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param7-init should be either 'k-means\\+\\+', 'random', a ndarray or a callable-KMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_wrong_params[param7-init should be either 'k-means\\+\\+', 'random', a ndarray or a callable-MiniBatchKMeans] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_kmeans_wrong_params[param0-Algorithm must be 'auto', 'full' or 'elkan'] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_wrong_params[param0-max_no_improvement should be >= 0] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_wrong_params[param1-batch_size should be > 0] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_wrong_params[param2-init_size should be > 0] PASSED [  2%]
> sklearn/cluster/tests/test_k_means.py::test_minibatch_kmeans_wrong_params[param3-reassignment_ratio should be >= 0] PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_estimate_bandwidth PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_estimate_bandwidth_1sample PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_mean_shift[1.2-True-3-0] PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_mean_shift[1.2-False-4--1] PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_mean_shift_negative_bandwidth PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_estimate_bandwidth_with_sparse_matrix PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_parallel PASSED           [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_meanshift_predict PASSED  [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_meanshift_all_orphans PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_unfitted PASSED           [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_cluster_intensity_tie PASSED [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_bin_seeds PASSED          [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_max_iter[1] PASSED        [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_max_iter[100] PASSED      [  2%]
> sklearn/cluster/tests/test_mean_shift.py::test_mean_shift_zero_bandwidth PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_downward[r_plot0-3] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_downward[r_plot1-0] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_downward[r_plot2-4] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_downward[r_plot3-4] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_upward[r_plot0-6] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_upward[r_plot1-0] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_upward[r_plot2-0] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extend_upward[r_plot3-2] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_the_extract_xi_labels[ordering0-clusters0-expected0] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_the_extract_xi_labels[ordering1-clusters1-expected1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_the_extract_xi_labels[ordering2-clusters2-expected2] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_the_extract_xi_labels[ordering3-clusters3-expected3] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_extract_xi PASSED             [  2%]
> sklearn/cluster/tests/test_optics.py::test_cluster_hierarchy_ PASSED     [  2%]
> sklearn/cluster/tests/test_optics.py::test_correct_number_of_clusters PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_minimum_number_of_sample_check PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_bad_extract PASSED            [  2%]
> sklearn/cluster/tests/test_optics.py::test_bad_reachability PASSED       [  2%]
> sklearn/cluster/tests/test_optics.py::test_close_extract PASSED          [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[3-0.1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[3-0.3] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[3-0.5] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[10-0.1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[10-0.3] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[10-0.5] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[20-0.1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[20-0.3] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[20-0.5] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_samples_edge_case PASSED  [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size[2] PASSED    [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid[0] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid[-1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid[1.1] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid[2.2] PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid2 PASSED [  2%]
> sklearn/cluster/tests/test_optics.py::test_processing_order PASSED       [  2%]
> sklearn/cluster/tests/test_optics.py::test_compare_to_ELKI PASSED        [  2%]
> sklearn/cluster/tests/test_optics.py::test_wrong_cluster_method PASSED   [  2%]
> sklearn/cluster/tests/test_optics.py::test_extract_dbscan PASSED         [  2%]
> sklearn/cluster/tests/test_optics.py::test_precomputed_dists PASSED      [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-arpack] PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-lobpcg] PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-arpack] PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-lobpcg] PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_unknown_mode PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_unknown_assign_labels PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_affinities PASSED           [  2%]
> sklearn/cluster/tests/test_spectral.py::test_discretize[50] PASSED       [  2%]
> sklearn/cluster/tests/test_spectral.py::test_discretize[100] PASSED      [  2%]
> sklearn/cluster/tests/test_spectral.py::test_discretize[150] PASSED      [  2%]
> sklearn/cluster/tests/test_spectral.py::test_discretize[500] PASSED      [  2%]
> sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_with_arpack_amg_solvers PASSED [  2%]
> sklearn/cluster/tests/test_spectral.py::test_n_components PASSED         [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_dataframe PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[list-pandas] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[list-numpy] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[bool-pandas] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[bool-numpy] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_array PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_list PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_stacking PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mixed_cols_sparse PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_threshold PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_error_msg_1D PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output_pandas PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[drop] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[passthrough] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_pandas PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_kwargs PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_remainder_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_named_estimators PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_cloning PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_feature_names PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_feature_names_dataframe PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_special_strings PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key0] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key1] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key2] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key3] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key0] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key1] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key2] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key3] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[pd-index] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key5] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key6] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key7] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key8] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key0] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key1] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key2] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key3] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_remaining_remainder_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drops_all_remainder_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_remainder_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drop_all_sparse_remainder_transformer PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params_with_remainder PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_estimators PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est0-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est1-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est2-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est3-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est4-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est5-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing trans2.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est6-\\[ColumnTransformer\\].*\\(1 of 1\\) Processing trans1.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est0-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est1-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est2-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est3-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est4-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est5-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing trans2.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est6-\\[ColumnTransformer\\].*\\(1 of 1\\) Processing trans1.* total=.*\\n$] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_estimators_set_params PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_callable_specifier PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_callable_specifier_dataframe PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_negative_column_indexes PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_reordered_column_names_remainder[first] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_reordered_column_names_remainder[second] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_feature_name_validation PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mask_indexing[asarray] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mask_indexing[csr_matrix] PASSED [  2%]
> sklearn/compose/tests/test_column_transformer.py::test_n_features_in PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols0-None-number-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols1-None-None-object] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols2-None-include2-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols3-None-include3-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols4-None-object-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols5-None-float-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols6-at$-include6-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols7-None-include7-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols8-^col_int-include8-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols9-float|str-None-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols10-^col_s-None-exclude10] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols11-str$-float-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols12-None-include12-None] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_column_transformer_with_make_column_selector PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_error PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_pickle PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_feature_names_empty_columns[list] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_feature_names_empty_columns[array] PASSED [  3%]
> sklearn/compose/tests/test_column_transformer.py::test_feature_names_empty_columns[callable] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_error PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_invertible PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_functions PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_functions_multioutput PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_1d_transformer[X0-y0] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_1d_transformer[X1-y1] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_2d_transformer[X0-y0] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_2d_transformer[X1-y1] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_2d_transformer_multioutput PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_multi_to_single PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_ensure_y_array PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_count_fit[False] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_count_fit[True] PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_pass_fit_parameters PASSED [  3%]
> sklearn/compose/tests/test_target.py::test_transform_target_regressor_route_pipeline PASSED [  3%]
> sklearn/covariance/tests/test_covariance.py::test_covariance PASSED      [  3%]
> sklearn/covariance/tests/test_covariance.py::test_shrunk_covariance PASSED [  3%]
> sklearn/covariance/tests/test_covariance.py::test_ledoit_wolf PASSED     [  3%]
> sklearn/covariance/tests/test_covariance.py::test_ledoit_wolf_small PASSED [  3%]
> sklearn/covariance/tests/test_covariance.py::test_ledoit_wolf_large PASSED [  3%]
> sklearn/covariance/tests/test_covariance.py::test_oas PASSED             [  3%]
> sklearn/covariance/tests/test_elliptic_envelope.py::test_elliptic_envelope PASSED [  3%]
> sklearn/covariance/tests/test_elliptic_envelope.py::test_score_samples PASSED [  3%]
> sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso PASSED [  3%]
> sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_iris PASSED [  3%]
> sklearn/covariance/tests/test_graphical_lasso.py::test_graph_lasso_2D PASSED [  3%]
> sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_iris_singular PASSED [  3%]
> sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd PASSED      [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_fast_mcd_on_invalid_input PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd_class_on_invalid_input PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd_issue1127 PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd_issue3367 PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd_support_covariance_is_zero PASSED [  3%]
> sklearn/covariance/tests/test_robust_covariance.py::test_mcd_increasing_det_warning PASSED [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_pls PASSED           [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_convergence_fail PASSED [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_PLSSVD PASSED        [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_univariate_pls_regression PASSED [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_predict_transform_copy PASSED [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_scale_and_stability PASSED [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_pls_errors PASSED    [  3%]
> sklearn/cross_decomposition/tests/test_pls.py::test_pls_scaling PASSED   [  3%]
> sklearn/datasets/tests/test_20news.py::test_20news SKIPPED (Download...) [  3%]
> sklearn/datasets/tests/test_20news.py::test_20news_length_consistency SKIPPED [  3%]
> sklearn/datasets/tests/test_20news.py::test_20news_vectorized SKIPPED    [  3%]
> sklearn/datasets/tests/test_20news.py::test_20news_normalization SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_data_home PASSED               [  3%]
> sklearn/datasets/tests/test_base.py::test_default_empty_load_files PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_default_load_files PASSED      [  3%]
> sklearn/datasets/tests/test_base.py::test_load_files_w_categories_desc_and_encoding PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_load_files_wo_load_content PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_load_sample_images PASSED      [  3%]
> sklearn/datasets/tests/test_base.py::test_load_digits PASSED             [  3%]
> sklearn/datasets/tests/test_base.py::test_load_digits_n_class_lt_10 PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_load_sample_image PASSED       [  3%]
> sklearn/datasets/tests/test_base.py::test_load_missing_sample_image_error PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_load_diabetes PASSED           [  3%]
> sklearn/datasets/tests/test_base.py::test_load_linnerud PASSED           [  3%]
> sklearn/datasets/tests/test_base.py::test_load_iris PASSED               [  3%]
> sklearn/datasets/tests/test_base.py::test_load_wine PASSED               [  3%]
> sklearn/datasets/tests/test_base.py::test_load_breast_cancer PASSED      [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_breast_cancer-float64-int] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_diabetes-float64-float64] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_digits-float64-int] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_iris-float64-int] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_linnerud-float64-float64] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame[load_wine-float64-int] PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_breast_cancer] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_diabetes] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_digits] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_iris] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_linnerud] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_toy_dataset_as_frame_no_pandas[load_wine] SKIPPED [  3%]
> sklearn/datasets/tests/test_base.py::test_load_boston PASSED             [  3%]
> sklearn/datasets/tests/test_base.py::test_loads_dumps_bunch PASSED       [  3%]
> sklearn/datasets/tests/test_base.py::test_bunch_pickle_generated_with_0_16_and_read_with_0_17 PASSED [  3%]
> sklearn/datasets/tests/test_base.py::test_bunch_dir PASSED               [  3%]
> sklearn/datasets/tests/test_california_housing.py::test_fetch SKIPPED    [  3%]
> sklearn/datasets/tests/test_california_housing.py::test_fetch_asframe SKIPPED [  3%]
> sklearn/datasets/tests/test_california_housing.py::test_pandas_dependency_message SKIPPED [  3%]
> sklearn/datasets/tests/test_covtype.py::test_fetch SKIPPED (Download...) [  3%]
> sklearn/datasets/tests/test_kddcup99.py::test_percent10 SKIPPED (Dow...) [  3%]
> sklearn/datasets/tests/test_kddcup99.py::test_shuffle SKIPPED (Downl...) [  3%]
> sklearn/datasets/tests/test_lfw.py::test_load_empty_lfw_people PASSED    [  3%]
> sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_people PASSED     [  3%]
> sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_people_too_restrictive PASSED [  3%]
> sklearn/datasets/tests/test_lfw.py::test_load_empty_lfw_pairs PASSED     [  3%]
> sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_pairs PASSED      [  3%]
> sklearn/datasets/tests/test_olivetti_faces.py::test_olivetti_faces SKIPPED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature0-object] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature1-object] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature2-float64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature3-float64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature4-float64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature5-float64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature6-int64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature7-float64] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature8-category] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype[feature9-category] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_feature_to_dtype_error[feature0] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_iris_pandas PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_iris_pandas_equal_to_no_frame PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_iris_multitarget_pandas PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_anneal_pandas PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_fetch_openml_australian_pandas_error_sparse PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_convert_arff_data_dataframe_warning_low_memory_pandas PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_adultcensus_pandas_return_X_y PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_fetch_openml_miceprotein_pandas PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_emotions_pandas PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_titanic_pandas PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_decode_iris PASSED           [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_iris_multitarget[True] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_iris_multitarget[False] PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_decode_anneal PASSED         [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_anneal_multitarget[True] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_anneal_multitarget[False] PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_fetch_openml_cpu[False] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_decode_cpu PASSED            [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_australian[True] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_australian[False] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_adultcensus[True] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_adultcensus[False] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_miceprotein[True] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_miceprotein[False] PASSED [  3%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_emotions[True] PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_decode_emotions PASSED       [  3%]
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> sklearn/datasets/tests/test_openml.py::test_open_openml_url_unlinks_local_path[True-True] PASSED [  3%]
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> sklearn/datasets/tests/test_openml.py::test_raises_illegal_multitarget[True] PASSED [  4%]
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> sklearn/datasets/tests/test_openml.py::test_string_attribute_without_dataframe[True] PASSED [  4%]
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> sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_warning[True] PASSED [  4%]
> sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_warning[False] PASSED [  4%]
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> sklearn/datasets/tests/test_openml.py::test_fetch_openml_raises_missing_values_target[True] PASSED [  4%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_raises_missing_values_target[False] PASSED [  4%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_raises_illegal_argument PASSED [  4%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_with_ignored_feature[True] PASSED [  4%]
> sklearn/datasets/tests/test_openml.py::test_fetch_openml_with_ignored_feature[False] PASSED [  4%]
> sklearn/datasets/tests/test_rcv1.py::test_fetch_rcv1 SKIPPED (Downlo...) [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_classification PASSED [  4%]
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> sklearn/datasets/tests/test_samples_generator.py::test_make_classification_weights_type[weights0-ValueError-Weights specified but incompatible with number of classes.] PASSED [  4%]
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> sklearn/datasets/tests/test_samples_generator.py::test_make_spd_matrix PASSED [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_swiss_roll PASSED [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_s_curve PASSED [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_biclusters PASSED [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_checkerboard PASSED [  4%]
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> sklearn/datasets/tests/test_samples_generator.py::test_make_circles PASSED [  4%]
> sklearn/datasets/tests/test_samples_generator.py::test_make_circles_unbalanced PASSED [  4%]
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> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_positivity[True-True-lasso_lars] PASSED [  4%]
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> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_lars_dict_positivity[False] PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_lars_dict_positivity[True] PASSED [  4%]
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> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_split PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_shapes PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_lars_positive_parameter PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-False-lasso_lars] PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-False-lasso_cd] PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-False-threshold] PASSED [  4%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-True-lasso_lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-True-lasso_cd] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[False-True-threshold] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-False-lasso_lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-False-lasso_cd] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-False-threshold] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-True-lasso_lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-True-lasso_cd] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_positivity[True-True-threshold] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_lars[False] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_lars[True] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_positivity[False-False] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_positivity[False-True] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_positivity[True-False] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_positivity[True-True] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_verbosity PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_estimator_shapes PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_overcomplete PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_initialization PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_readonly_initialization PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_partial_fit PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_iter_offset PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_shapes PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[False-lasso_lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[False-lasso_cd] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[False-threshold] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[True-lasso_lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[True-lasso_cd] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_positivity[True-threshold] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_unavailable_positivity[lars] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_unavailable_positivity[omp] PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_input PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_error PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_error_default_sparsity PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_unknown_method PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_estimator PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_parallel_mmap PASSED [  5%]
> sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_n_features_in PASSED [  5%]
> sklearn/decomposition/tests/test_factor_analysis.py::test_factor_analysis PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_gs PASSED              [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_simple[0-True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_simple[0-False] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_nowhiten PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_convergence_fail PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_non_square_fastica[True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_non_square_fastica[False] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fit_transform PASSED   [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_inverse_transform PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_errors PASSED  [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[True-True-True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[True-True-False] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[True-False-True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[True-False-False] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[False-True-True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[False-True-False] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[False-False-True] PASSED [  5%]
> sklearn/decomposition/tests/test_fastica.py::test_fastica_output_shape[False-False-False] PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_sparse[csc_matrix] PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_sparse[csr_matrix] PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_sparse[lil_matrix] PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_check_projection PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_inverse PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_validation PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_n_components_none PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_set_params PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_num_features_change PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_batch_signs PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_batch_values PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_batch_rank PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_partial_fit PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_against_pca_iris PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_against_pca_random_data PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_explained_variances PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_singular_values PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_whitening PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_partial_fit_float_division PASSED [  5%]
> sklearn/decomposition/tests/test_incremental_pca.py::test_incremental_pca_fit_overflow_error PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca PASSED   [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_invalid_parameters PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_consistent_transform PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_deterministic_output PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_sparse PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_linear_kernel PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_n_components PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_remove_zero_eig PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_leave_zero_eig PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_precomputed PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_invalid_kernel PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_gridsearch_pipeline_precomputed PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_nested_circles PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_conditioning PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_inverse_transform[linear] PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_inverse_transform[poly] PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_inverse_transform[rbf] PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_inverse_transform[sigmoid] PASSED [  5%]
> sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_inverse_transform[cosine] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_convergence_warning[cd] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_convergence_warning[mu] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_initialize_nn_output PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_parameter_checking PASSED  [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_initialize_close PASSED    [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_initialize_variants PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_nn_output PASSED   [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[cd] PASSED   [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[mu] PASSED   [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_transform[cd] PASSED   [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_transform[mu] PASSED   [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_transform_custom_init PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_inverse_transform[cd] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_inverse_transform[mu] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_n_components_greater_n_features PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_sparse_input PASSED    [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_sparse_transform PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_checking PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_beta_divergence PASSED     [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_special_sparse_dot PASSED  [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_multiplicative_update_sparse PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_regularization PASSED  [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_decreasing PASSED      [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_underflow PASSED       [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[cd-float32-float32] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[cd-float64-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[cd-int32-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[cd-int64-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[mu-float32-float32] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[mu-float64-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[mu-int32-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[mu-int64-float64] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_float32_float64_consistency[cd] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_float32_float64_consistency[mu] PASSED [  5%]
> sklearn/decomposition/tests/test_nmf.py::test_nmf_custom_init_dtype_error PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_default_prior_params PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_fit_batch PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_fit_online PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_partial_fit PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_dense_input PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_transform PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_fit_transform[online] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_fit_transform[batch] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_partial_fit_dim_mismatch PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_invalid_params PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_negative_input PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_no_component_error PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_transform_mismatch PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_multi_jobs[online] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_multi_jobs[batch] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_partial_fit_multi_jobs PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_preplexity_mismatch PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_perplexity[online] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_perplexity[batch] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_score[online] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_score[batch] PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_perplexity_input_format PASSED [  5%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_score_perplexity PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_fit_perplexity PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_dirichlet_expectation PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_verbosity[False-1-0-0] PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_verbosity[False-0-0-0] PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_verbosity[True-0-3-0] PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_verbosity[True-1-3-3] PASSED [  6%]
> sklearn/decomposition/tests/test_online_lda.py::test_verbosity[True-2-3-1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[1-full] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[1-arpack] PASSED       [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[1-randomized] PASSED   [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[1-auto] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[2-full] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[2-arpack] PASSED       [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[2-randomized] PASSED   [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[2-auto] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[3-full] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[3-arpack] PASSED       [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[3-randomized] PASSED   [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca[3-auto] PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_no_empty_slice_warning PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[full-True] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[full-False] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[arpack-True] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[arpack-False] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[randomized-True] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[randomized-False] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[auto-True] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_whitening[auto-False] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_equivalence_solver[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_equivalence_solver[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[full-random-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[full-correlated-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[arpack-random-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[arpack-correlated-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[randomized-random-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[randomized-correlated-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[auto-random-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_explained_variance_empirical[auto-correlated-data] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values_consistency[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values_consistency[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_singular_values[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection_list[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection_list[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection_list[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_check_projection_list[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[False-full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[False-arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[False-randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[True-full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[True-arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_inverse[True-randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[arpack-0-must be between 1 and min\\(n_samples, n_features\\)-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[arpack-0-must be between 1 and min\\(n_samples, n_features\\)-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[randomized-0-must be between 1 and min\\(n_samples, n_features\\)-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[randomized-0-must be between 1 and min\\(n_samples, n_features\\)-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[arpack-2-must be strictly less than min-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[arpack-2-must be strictly less than min-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto--1-n_components={}L? must be between {}L? and min\\(n_samples, n_features\\)={}L? with svd_solver=\\'{}\\'-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto--1-n_components={}L? must be between {}L? and min\\(n_samples, n_features\\)={}L? with svd_solver=\\'{}\\'-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto-3-n_components={}L? must be between {}L? and min\\(n_samples, n_features\\)={}L? with svd_solver=\\'{}\\'-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto-3-n_components={}L? must be between {}L? and min\\(n_samples, n_features\\)={}L? with svd_solver=\\'{}\\'-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto-1.0-must be of type int-data0] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_validation[auto-1.0-must be of type int-data1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data0-full-4] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data0-arpack-3] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data0-randomized-4] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data1-full-4] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data1-arpack-3] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_none[data1-randomized-4] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_mle[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_mle[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_mle_error[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_n_components_mle_error[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_dim PASSED             [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_1 PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_2 PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_3 PASSED         [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_by_explained_variance[X0-0.95-2] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_by_explained_variance[X1-0.01-1] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_infer_dim_by_explained_variance[X2-0.5-2] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score[full] PASSED     [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score[arpack] PASSED   [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score[auto] PASSED     [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score3 PASSED          [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sanity_noise_variance[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_score_consistency_solvers[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_svd_solver_auto[data0-0.5-full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_svd_solver_auto[data1-5-full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_svd_solver_auto[data2-50-full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_svd_solver_auto[data3-10-randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sparse_input[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sparse_input[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sparse_input[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_sparse_input[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_bad_solver PASSED      [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_deterministic_output[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_deterministic_output[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_deterministic_output[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_deterministic_output[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_dtype_preservation[full] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_dtype_preservation[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_dtype_preservation[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_dtype_preservation[auto] PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_pca_n_components_mostly_explained_variance_ratio PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_assess_dimension_bad_rank PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_small_eigenvalues_mle PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_mle_redundant_data PASSED  [  6%]
> sklearn/decomposition/tests/test_pca.py::test_fit_mle_too_few_samples PASSED [  6%]
> sklearn/decomposition/tests/test_pca.py::test_mle_simple_case PASSED     [  6%]
> sklearn/decomposition/tests/test_pca.py::test_assess_dimesion_rank_one PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_correct_shapes PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_fit_transform PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_fit_transform_parallel PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_transform_nan PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_fit_transform_tall PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_initialization PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_mini_batch_correct_shapes PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_mini_batch_fit_transform SKIPPED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_scaling_fit_transform PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_pca_vs_spca PASSED  [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_deprecation_warning[SparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_deprecation_warning[MiniBatchSparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_error_unormalized_components[SparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_error_unormalized_components[MiniBatchSparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_n_components_[None-SparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_n_components_[None-MiniBatchSparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_n_components_[3-SparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_sparse_pca.py::test_spca_n_components_[3-MiniBatchSparsePCA] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_solvers[dense-randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_solvers[sparse-randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_attributes[10] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_attributes[25] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_attributes[41] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_too_many_components[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_too_many_components[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_sparse_formats[array] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_sparse_formats[csr] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_sparse_formats[csc] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_sparse_formats[coo] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_sparse_formats[lil] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_inverse_transform[arpack] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_inverse_transform[randomized] PASSED [  6%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_integers PASSED  [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[arpack-10-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[arpack-10-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[arpack-20-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[arpack-20-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[randomized-10-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[randomized-10-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[randomized-20-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance[randomized-20-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance_components_10_20[arpack-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance_components_10_20[arpack-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance_components_10_20[randomized-dense] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_explained_variance_components_10_20[randomized-sparse] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_singular_values_consistency[arpack] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_singular_values_consistency[randomized] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_singular_values_expected[arpack] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_singular_values_expected[randomized] PASSED [  7%]
> sklearn/decomposition/tests/test_truncated_svd.py::test_truncated_svd_eq_pca PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_find_binning_thresholds_regular_data PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_find_binning_thresholds_small_regular_data PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_find_binning_thresholds_random_data PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_find_binning_thresholds_low_n_bins PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_invalid_n_bins[2] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_invalid_n_bins[257] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_n_features_transform PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_map_to_bins[16] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_map_to_bins[128] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_map_to_bins[255] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_random_data[5] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_random_data[10] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_random_data[42] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_small_random_data[5-5] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_small_random_data[5-10] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_small_random_data[5-11] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_small_random_data[42-255] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_repeated_values[5-5-1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_repeated_values[5-5-3] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_repeated_values[255-12-42] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_repeated_values_invariance[2] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_repeated_values_invariance[7] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_repeated_values_invariance[42] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_small[3-2--1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_small[42-1-0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_identity_small[255-0.3-42] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[2-2] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[3-3] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[4-4] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[42-42] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[255-255] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[5-17] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_bin_mapper_idempotence[42-255] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[-5-10] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[-5-100] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[-5-256] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[0-10] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[0-100] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[0-256] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[5-10] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[5-100] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_n_bins_non_missing[5-256] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_subsample PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_missing_values_support[256-n_bins_non_missing0-X_trans_expected0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_missing_values_support[3-n_bins_non_missing1-X_trans_expected1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py::test_infinite_values PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[255-4096-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_regression[1000-8-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-0] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-1] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-2] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-3] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-4] SKIPPED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params0-Loss blah is not supported for-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params0-Loss blah is not supported for-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params1-learning_rate=0 must be strictly positive-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params1-learning_rate=0 must be strictly positive-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params2-learning_rate=-1 must be strictly positive-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params2-learning_rate=-1 must be strictly positive-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params3-max_iter=0 must not be smaller than 1-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params3-max_iter=0 must not be smaller than 1-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params4-max_leaf_nodes=0 should not be smaller than 2-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params4-max_leaf_nodes=0 should not be smaller than 2-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params5-max_leaf_nodes=1 should not be smaller than 2-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params5-max_leaf_nodes=1 should not be smaller than 2-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params6-max_depth=0 should not be smaller than 1-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params6-max_depth=0 should not be smaller than 1-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params7-min_samples_leaf=0 should not be smaller-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params7-min_samples_leaf=0 should not be smaller-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params8-l2_regularization=-1 must be positive-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params8-l2_regularization=-1 must be positive-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params9-max_bins=1 should be no smaller than 2 and no larger-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params9-max_bins=1 should be no smaller than 2 and no larger-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params10-max_bins=256 should be no smaller than 2 and no-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params10-max_bins=256 should be no smaller than 2 and no-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params11-n_iter_no_change=-1 must be positive-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params11-n_iter_no_change=-1 must be positive-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params12-validation_fraction=-1 must be strictly-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params12-validation_fraction=-1 must be strictly-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params13-validation_fraction=0 must be strictly-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params13-validation_fraction=0 must be strictly-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params14-tol=-1 must not be smaller than 0-HistGradientBoostingClassifier-X0-y0] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params14-tol=-1 must not be smaller than 0-HistGradientBoostingRegressor-X1-y1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_invalid_classification_loss PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[neg_mean_squared_error-0.1-True-5-1e-07] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[neg_mean_squared_error-None-True-5-0.1] PASSED [  7%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-0.1-True-5-1e-07] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-None-True-5-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[loss-0.1-True-5-1e-07] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[loss-None-True-5-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-None-False-5-None] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-0.1-True-5-1e-07-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-0.1-True-5-1e-07-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-None-True-5-0.1-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-None-True-5-0.1-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-0.1-True-5-1e-07-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-0.1-True-5-1e-07-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-True-5-0.1-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-True-5-0.1-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-0.1-True-5-1e-07-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-0.1-True-5-1e-07-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-None-True-5-0.1-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-None-True-5-0.1-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-False-5-None-data0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-False-5-None-data1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_default[HistGradientBoostingClassifier-X0-y0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_default[HistGradientBoostingClassifier-X1-y1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_default[HistGradientBoostingRegressor-X2-y2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_default[HistGradientBoostingRegressor-X3-y3] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores0-1-0.001-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores1-5-0.001-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores2-5-0.001-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores3-5-0.001-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores4-5-0.0-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores5-5-0.999-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores6-5-4.99999-False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores7-5-0.0-True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores8-5-0.001-True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_should_stop[scores9-5-5-True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_least_absolute_deviation PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_poisson_y_positive[y0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_poisson_y_positive[y1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_poisson PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_binning_train_validation_are_separated PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_trivial PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.1-0.97-0.89-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.1-0.97-0.89-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.2-0.93-0.81-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.2-0.93-0.81-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.5-0.79-0.52-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_resilience[0.5-0.79-0.52-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_zero_division_hessians[binary_crossentropy] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_zero_division_hessians[categorical_crossentropy] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_small_trainset PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_missing_values_minmax_imputation PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_infinite_values PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_consistent_lengths PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_infinite_values_missing_values PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_crossentropy_binary_problem PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_string_target_early_stopping[None] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_string_target_early_stopping[loss] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_zero_sample_weights_regression PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_zero_sample_weights_classification PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[half-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[half-binary_classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[half-multiclass_classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[all-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[all-binary_classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sample_weight_effect[all-multiclass_classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sum_hessians_are_sample_weight[least_squares] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_sum_hessians_are_sample_weight[least_absolute_deviation] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_max_depth_max_leaf_nodes PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_on_test_set_with_warm_start PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_single_node_trees[HistGradientBoostingClassifier] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_single_node_trees[HistGradientBoostingRegressor] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_custom_loss[HistGradientBoostingClassifier-loss0-X0-y0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_custom_loss[HistGradientBoostingRegressor-loss1-X1-y1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[11-True-min_gain_to_split-0.5] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[11-False-min_gain_to_split-1.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[11-True-max_leaf_nodes-1.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[11-False-max_leaf_nodes-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[42-True-max_leaf_nodes-0.01] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[42-False-max_leaf_nodes-1.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[256-True-min_gain_to_split-1.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_grow_tree[256-True-max_leaf_nodes-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_predictor_from_grower PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[11-10-7-True-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[13-10-42-False-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[56-10-255-True-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[101-3-7-True-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[200-42-42-False-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[300-55-255-True-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf[300-301-255-True-0.1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf_root[99-50] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_min_samples_leaf_root[100-50] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_max_depth[1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_max_depth[2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_max_depth[3] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_input_validation PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_init_parameters_validation PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_missing_value_predict_only PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py::test_split_on_nan_with_infinite_values PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_build_histogram[_build_histogram_naive] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_build_histogram[_build_histogram] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_histogram_sample_order_independence PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_unrolled_equivalent_to_naive[True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_unrolled_equivalent_to_naive[False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_hist_subtraction[True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py::test_hist_subtraction[False] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[least_squares--2.0-42] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[least_squares-117.0-1.05] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[least_squares-0.0-0.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[binary_crossentropy--12-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[binary_crossentropy-30-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[poisson-12.0-1.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[poisson-0.0-2.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_derivatives[poisson--22.0-10.0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_numerical_gradients[least_squares-0-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_numerical_gradients[least_absolute_deviation-0-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_numerical_gradients[binary_crossentropy-2-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_numerical_gradients[categorical_crossentropy-3-3] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_numerical_gradients[poisson-0-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_baseline_least_squares PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_baseline_least_absolute_deviation PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_baseline_poisson PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_baseline_binary_crossentropy PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_baseline_categorical_crossentropy PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[ones-least_squares-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[ones-least_absolute_deviation-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[ones-binary_crossentropy-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[ones-categorical_crossentropy-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[ones-poisson-poisson_regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[random-least_squares-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[random-least_absolute_deviation-regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[random-binary_crossentropy-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[random-categorical_crossentropy-classification] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_sample_weight_multiplies_gradients[random-poisson-poisson_regression] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py::test_init_gradient_and_hessians_sample_weight PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NO_CST-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NO_CST-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NO_CST-2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.POS-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.POS-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.POS-2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NEG-0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NEG-1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_nodes_values[MonotonicConstraint.NEG-2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_predictions[0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_predictions[1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_predictions[2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_input_error PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_contraints.py::test_bounded_value_min_gain_to_split PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_regression_dataset[200] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_regression_dataset[256] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_infinite_values_and_thresholds[-inf-expected_predictions0] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_infinite_values_and_thresholds[10-expected_predictions1] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_infinite_values_and_thresholds[20-expected_predictions2] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_infinite_values_and_thresholds[1e+300-expected_predictions3] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py::test_infinite_values_and_thresholds[inf-expected_predictions4] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_histogram_split[3] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_histogram_split[32] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_histogram_split[256] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_gradient_and_hessian_sanity[True] PASSED [  8%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_gradient_and_hessian_sanity[False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_split_indices PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_min_gain_to_split PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned0-all_gradients0-False-10-False-3-not_applicable] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned1-all_gradients1-True-8-False-1-True] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned2-all_gradients2-True-8-False-1-True] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned3-all_gradients3-True-8-False-3-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned4-all_gradients4-True-8-False-3-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned5-all_gradients5-True-4-True-3-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned6-all_gradients6-True-4-True-3-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned7-all_gradients7-True-6-True-5-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py::test_splitting_missing_values[X_binned8-all_gradients8-True-6-True-5-False] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_max_iter_with_warm_start_validation[HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_yields_identical_results[HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_max_depth[HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_max_depth[HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_early_stopping[None-HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_early_stopping[None-HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_early_stopping[loss-HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_early_stopping[loss-HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_equal_n_estimators[HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_equal_n_estimators[HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_clear[HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_warm_start_clear[HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[none-HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[none-HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[int-HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[int-HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[instance-HistGradientBoostingClassifier-X0-y0] PASSED [  9%]
> sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py::test_random_seeds_warm_start[instance-HistGradientBoostingRegressor-X1-y1] PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_classification PASSED       [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_sparse_classification PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_regression PASSED           [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_sparse_regression PASSED    [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bootstrap_samples PASSED    [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bootstrap_features PASSED   [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_probability PASSED          [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_oob_score_regression PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_single_estimator PASSED     [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_error PASSED                [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_parallel_classification PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_parallel_regression PASSED  [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_gridsearch PASSED           [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_base_estimator PASSED       [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_with_pipeline PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_sample_weight_unsupported_but_passed PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_warm_start PASSED           [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_warm_start_smaller_n_estimators PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_warm_start_equal_n_estimators PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_warm_start_equivalence PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_warm_start_with_oob_score_fails PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_oob_score_consistency PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_estimators_samples PASSED   [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_estimators_samples_deterministic PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_max_samples_consistency PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_set_oob_score_label_encoding PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_small_max_features PASSED [  9%]
> sklearn/ensemble/tests/test_bagging.py::test_bagging_get_estimators_indices PASSED [  9%]
> sklearn/ensemble/tests/test_base.py::test_base PASSED                    [  9%]
> sklearn/ensemble/tests/test_base.py::test_base_zero_n_estimators PASSED  [  9%]
> sklearn/ensemble/tests/test_base.py::test_base_not_int_n_estimators PASSED [  9%]
> sklearn/ensemble/tests/test_base.py::test_set_random_states PASSED       [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_behavior[stacking-classifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_behavior[voting-classifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_behavior[stacking-regressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_behavior[voting-regressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_type[StackingClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_type[VotingClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_type[StackingRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_type[VotingRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_name_validation[X0-y0-StackingClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_name_validation[X1-y1-VotingClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_name_validation[X2-y2-StackingRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_name_validation[X3-y3-VotingRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_all_dropped[stacking-classifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_all_dropped[voting-classifier] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_all_dropped[stacking-regressor] PASSED [  9%]
> sklearn/ensemble/tests/test_common.py::test_ensemble_heterogeneous_estimators_all_dropped[voting-regressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_classification_toy[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_classification_toy[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_iris[gini-ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_iris[gini-RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_iris[entropy-ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_iris[entropy-RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[mse-ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[mse-RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[mae-ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[mae-RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[friedman_mse-ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_boston[friedman_mse-RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_regressor_attributes[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_regressor_attributes[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_probability[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_probability[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesClassifier-gini-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesClassifier-gini-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesClassifier-entropy-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesClassifier-entropy-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestClassifier-gini-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestClassifier-gini-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestClassifier-entropy-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestClassifier-entropy-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-mse-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-mse-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-friedman_mse-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-friedman_mse-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-mae-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[ExtraTreesRegressor-mae-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-mse-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-mse-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-friedman_mse-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-friedman_mse-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-mae-float64] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-mae-float32] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_importances_asymptotic PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomTreesEmbedding] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_classifiers[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_classifiers[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_regressors[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_regressors[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_raise_error[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_raise_error[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_raise_error[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_raise_error[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_oob_score_raise_error[RandomTreesEmbedding] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_gridsearch[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_gridsearch[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestRegressor] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput_string[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_multioutput_string[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_classes_shape[ExtraTreesClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_classes_shape[RandomForestClassifier] PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_type PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_equal PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_random_hasher PASSED         [  9%]
> sklearn/ensemble/tests/test_forest.py::test_random_hasher_sparse_data PASSED [  9%]
> sklearn/ensemble/tests/test_forest.py::test_parallel_train PASSED        [  9%]
> sklearn/ensemble/tests/test_forest.py::test_distribution PASSED          [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weights[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weights[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomTreesEmbedding] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_dtype_convert PASSED         [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_impurity_split PASSED    [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_min_impurity_decrease PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_backend_respected PASSED     [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_forest_feature_importances_sum PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_forest_degenerate_feature_importances PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1000000000-ValueError-`max_samples` must be in range 1 to 6 but got value 1000000000-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1000000000-ValueError-`max_samples` must be in range 1 to 6 but got value 1000000000-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1000000000-ValueError-`max_samples` must be in range 1 to 6 but got value 1000000000-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1000000000-ValueError-`max_samples` must be in range 1 to 6 but got value 1000000000-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 1.0-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 1.0-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 1.0-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[1.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 1.0-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[2.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 2.0-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[2.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 2.0-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[2.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 2.0-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[2.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 2.0-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[0.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 0.0-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[0.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 0.0-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[0.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 0.0-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[0.0-ValueError-`max_samples` must be in range \\(0, 1\\) but got value 0.0-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[nan-ValueError-`max_samples` must be in range \\(0, 1\\) but got value nan-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[nan-ValueError-`max_samples` must be in range \\(0, 1\\) but got value nan-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[nan-ValueError-`max_samples` must be in range \\(0, 1\\) but got value nan-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[nan-ValueError-`max_samples` must be in range \\(0, 1\\) but got value nan-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[inf-ValueError-`max_samples` must be in range \\(0, 1\\) but got value inf-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[inf-ValueError-`max_samples` must be in range \\(0, 1\\) but got value inf-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[inf-ValueError-`max_samples` must be in range \\(0, 1\\) but got value inf-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[inf-ValueError-`max_samples` must be in range \\(0, 1\\) but got value inf-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[str max_samples?!-TypeError-`max_samples` should be int or float, but got type '\\<class 'str'\\>'-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[str max_samples?!-TypeError-`max_samples` should be int or float, but got type '\\<class 'str'\\>'-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[str max_samples?!-TypeError-`max_samples` should be int or float, but got type '\\<class 'str'\\>'-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[str max_samples?!-TypeError-`max_samples` should be int or float, but got type '\\<class 'str'\\>'-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[max_samples7-TypeError-`max_samples` should be int or float, but got type '\\<class 'numpy.ndarray'\\>'-ExtraTreesClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[max_samples7-TypeError-`max_samples` should be int or float, but got type '\\<class 'numpy.ndarray'\\>'-RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[max_samples7-TypeError-`max_samples` should be int or float, but got type '\\<class 'numpy.ndarray'\\>'-ExtraTreesRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_max_samples_exceptions[max_samples7-TypeError-`max_samples` should be int or float, but got type '\\<class 'numpy.ndarray'\\>'-RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_forest_y_sparse PASSED       [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_classification_toy[deviance] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_classification_toy[exponential] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_classifier_parameter_checks PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_regressor_parameter_checks PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_loss_function PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_classification_synthetic[deviance] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_classification_synthetic[exponential] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[1.0-ls] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[1.0-lad] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[1.0-huber] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[0.5-ls] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[0.5-lad] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_boston[0.5-huber] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_iris[None-1.0] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_iris[None-0.5] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_iris[1-1.0] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_iris[1-0.5] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_regression_synthetic PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_feature_importances PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_probability_log PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_check_inputs PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_check_inputs_predict PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_check_inputs_predict_stages PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_check_max_features PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_max_feature_regression PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_max_feature_auto PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_staged_predict PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_staged_predict_proba PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_staged_functions_defensive[GradientBoostingClassifier] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_staged_functions_defensive[GradientBoostingRegressor] PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_serialization PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_degenerate_targets PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_quantile_loss PASSED [ 10%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_symbol_labels PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_float_class_labels PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_shape_y PASSED    [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_mem_layout PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_oob_improvement PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_oob_improvement_raise PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_oob_multilcass_iris PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_verbose_output PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_more_verbose_output PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_n_estimators[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_n_estimators[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_max_depth[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_max_depth[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_clear[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_clear[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_zero_n_estimators[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_zero_n_estimators[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_smaller_n_estimators[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_smaller_n_estimators[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_equal_n_estimators[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_equal_n_estimators[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_oob_switch[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_oob_switch[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_oob[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_oob[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_sparse[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_sparse[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_fortran[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_fortran[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_monitor_early_stopping[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_monitor_early_stopping[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_complete_classification PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_complete_regression PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_zero_estimator_reg PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_zero_estimator_clf PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_max_leaf_nodes_max_depth[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_max_leaf_nodes_max_depth[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_min_impurity_split[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_min_impurity_split[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_min_impurity_decrease[GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_min_impurity_decrease[GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_warm_start_wo_nestimators_change PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_probability_exponential PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_non_uniform_weights_toy_edge_case_reg PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_non_uniform_weights_toy_edge_case_clf PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[csr_matrix-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[csr_matrix-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[csc_matrix-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[csc_matrix-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[coo_matrix-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_sparse_input[coo_matrix-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_early_stopping PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_validation_fraction PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_early_stopping_stratified PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_with_init[binary classification] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_with_init[multiclass classification] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_with_init[regression] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_with_init_pipeline PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_init_wrong_methods[estimator0-predict_proba] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gradient_boosting_init_wrong_methods[estimator1-predict] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_early_stopping_n_classes PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_gbr_degenerate_feature_importances PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[auto-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[auto-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[True-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[True-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[False-GradientBoostingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting.py::test_presort_deprecated[False-GradientBoostingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_binomial_deviance PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_sample_weight_smoke PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_sample_weight_init_estimators PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_weighted_percentile PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_weighted_percentile_equal PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_weighted_percentile_zero_weight PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_quantile_loss_function PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_sample_weight_deviance PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_multinomial_deviance[3-100] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_multinomial_deviance[5-57] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_multinomial_deviance[7-13] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_mdl_computation_weighted PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_mdl_exception[0] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_mdl_exception[1] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_mdl_exception[2] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_init_raw_predictions_shapes PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_init_raw_predictions_values PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_lad_equals_quantile_50[0] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_lad_equals_quantile_50[1] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_lad_equals_quantile_50[2] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_lad_equals_quantile_50[3] PASSED [ 11%]
> sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py::test_lad_equals_quantile_50[4] PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest PASSED              [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_sparse PASSED       [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_error PASSED        [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_recalculate_max_depth PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_max_samples_attribute PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_parallel_regression PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_performance PASSED  [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_works[0.25] PASSED  [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_works[auto] PASSED  [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_max_samples_consistency PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_subsampled_features PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_average_path_length PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_score_samples PASSED        [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_warm_start PASSED   [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_chunks_works1[0.25-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_chunks_works1[auto-2] PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_chunks_works2[0.25-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_chunks_works2[auto-2] PASSED [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_deprecation PASSED  [ 11%]
> sklearn/ensemble/tests/test_iforest.py::test_iforest_with_uniform_data PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[False-None-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[False-None-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[False-final_estimator1-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[False-final_estimator1-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[True-None-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[True-None-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[True-final_estimator1-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_iris[True-final_estimator1-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_drop_column_binary_classification PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_drop_estimator PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_drop_estimator PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-None-predict_params0-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-None-predict_params0-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-final_estimator1-predict_params1-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-final_estimator1-predict_params1-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-final_estimator2-predict_params2-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[False-final_estimator2-predict_params2-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-None-predict_params0-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-None-predict_params0-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-final_estimator1-predict_params1-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-final_estimator1-predict_params1-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-final_estimator2-predict_params2-3] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_diabetes[True-final_estimator2-predict_params2-cv1] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_sparse_passthrough[csc] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_sparse_passthrough[csr] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_sparse_passthrough[coo] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_sparse_passthrough[csc] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_sparse_passthrough[csr] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_sparse_passthrough[coo] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_drop_binary_prob PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_error[y0-params0-ValueError-Invalid 'estimators' attribute,] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_error[y1-params1-ValueError-Invalid 'estimators' attribute,] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_error[y2-params2-ValueError-does not implement the method predict_proba] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_error[y3-params3-TypeError-does not support sample weight] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_error[y4-params4-TypeError-does not support sample weight] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_error[y0-params0-ValueError-Invalid 'estimators' attribute,] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_error[y1-params1-ValueError-Invalid 'estimators' attribute,] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_error[y2-params2-TypeError-does not support sample weight] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_regressor_error[y3-params3-TypeError-does not support sample weight] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_randomness[StackingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_randomness[StackingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_check_estimators_stacking_estimator[StackingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_check_estimators_stacking_estimator[StackingRegressor] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_stratify_default PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_with_sample_weight[StackingClassifier] PASSED [ 11%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_with_sample_weight[StackingRegressor] PASSED [ 12%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_classifier_sample_weight_fit_param PASSED [ 12%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_cv_influence[StackingClassifier] PASSED [ 12%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_cv_influence[StackingRegressor] PASSED [ 12%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_without_n_features_in[make_classification-StackingClassifier-LogisticRegression] PASSED [ 12%]
> sklearn/ensemble/tests/test_stacking.py::test_stacking_without_n_features_in[make_regression-StackingRegressor-LinearRegression] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_classifier_estimator_init[params0-Invalid 'estimators' attribute, 'estimators' should be a list of] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_classifier_estimator_init[params1-Voting must be 'soft' or 'hard'; got \\(voting='error'\\)] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_classifier_estimator_init[params2-Number of `estimators` and weights must be equal] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_predictproba_hardvoting PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_notfitted PASSED             [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_majority_label_iris PASSED   [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_tie_situation PASSED         [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_weights_iris PASSED          [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_weights_regressor PASSED     [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_predict_on_toy_problem PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_predict_proba_on_toy_problem PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_multilabel PASSED            [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_gridsearch PASSED            [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_parallel_fit PASSED          [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_sample_weight PASSED         [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_sample_weight_kwargs PASSED  [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_classifier_set_params PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_set_estimator_none[None] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_set_estimator_none[drop] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_estimator_weights_format PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_transform PASSED             [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_none_estimator_with_weights[None-X0-y0-voter0] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_none_estimator_with_weights[None-X1-y1-voter1] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_none_estimator_with_weights[drop-X0-y0-voter0] FAILED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_none_estimator_with_weights[drop-X1-y1-voter1] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_check_estimators_voting_estimator[VotingRegressor] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_check_estimators_voting_estimator[VotingClassifier] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_n_features_in[VotingRegressor] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_n_features_in[VotingClassifier] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_verbose[estimator0] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_voting_verbose[estimator1] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_deprecate_none_transformer[VotingClassifier-DecisionTreeClassifier] PASSED [ 12%]
> sklearn/ensemble/tests/test_voting.py::test_deprecate_none_transformer[VotingRegressor-DecisionTreeRegressor] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_samme_proba PASSED  [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_oneclass_adaboost_proba PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_classification_toy[SAMME] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_classification_toy[SAMME.R] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_regression_toy PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_iris PASSED         [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_boston[linear] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_boston[square] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_boston[exponential] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME.R] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_gridsearch PASSED   [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_pickle PASSED       [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_importances PASSED  [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_error PASSED        [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_base_estimator PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_classification PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_regression PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weight_adaboost_regressor PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_multidimensional_X PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboostclassifier_without_sample_weight[SAMME] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboostclassifier_without_sample_weight[SAMME.R] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboostregressor_sample_weight PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboost_consistent_predict[SAMME] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboost_consistent_predict[SAMME.R] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboost_negative_weight_error[model0-X0-y0] PASSED [ 12%]
> sklearn/ensemble/tests/test_weight_boosting.py::test_adaboost_negative_weight_error[model1-X1-y1] PASSED [ 12%]
> sklearn/experimental/tests/test_enable_hist_gradient_boosting.py::test_imports_strategies PASSED [ 12%]
> sklearn/experimental/tests/test_enable_iterative_imputer.py::test_imports_strategies PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-int-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-int-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-float32-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-float32-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-int16-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-True-int16-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-int-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-int-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-float32-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-float32-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-int16-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[True-False-int16-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-int-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-int-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-float32-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-float32-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-int16-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-True-int16-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-int-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-int-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-float32-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-float32-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-int16-True] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_dictvectorizer[False-False-int16-False] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_feature_selection PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_one_of_k PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_unseen_or_no_features PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_deterministic_vocabulary PASSED [ 12%]
> sklearn/feature_extraction/tests/test_dict_vectorizer.py::test_n_features_in PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_feature_hasher_dicts PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_feature_hasher_strings PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hashing_transform_seed PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_feature_hasher_pairs PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_feature_hasher_pairs_with_string_values PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hash_empty_input PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hasher_invalid_input PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hasher_set_params PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hasher_zeros PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hasher_alternate_sign PASSED [ 12%]
> sklearn/feature_extraction/tests/test_feature_hasher.py::test_hash_collisions PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_img_to_graph PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_grid_to_graph PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_connect_regions PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_connect_regions_with_grid PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_all PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_all_color PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_all_rect PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_max_patches PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patch_same_size_image PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_less_than_max_patches PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_reconstruct_patches_perfect PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_reconstruct_patches_perfect_color PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_patch_extractor_fit PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_patch_extractor_max_patches PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_patch_extractor_max_patches_default PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_patch_extractor_all_patches PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_patch_extractor_color PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_strided PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_square PASSED [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_width_patch PASSED  [ 12%]
> sklearn/feature_extraction/tests/test_image.py::test_extract_patches_deprecated PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_strip_accents PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_to_ascii PASSED      [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_word_analyzer_unigrams[CountVectorizer] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_word_analyzer_unigrams[HashingVectorizer] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_word_analyzer_unigrams_and_bigrams PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_unicode_decode_error PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_char_ngram_analyzer PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_char_wb_ngram_analyzer PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_word_ngram_analyzer PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_custom_vocabulary PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_custom_vocabulary_pipeline PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_custom_vocabulary_repeated_indices PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_custom_vocabulary_gap_index PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_stop_words PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_empty_vocabulary PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_fit_countvectorizer_twice PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_tf_idf_smoothing PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_no_smoothing PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_sublinear_tf PASSED  [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer PASSED    [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_setters PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_deprecationwarning PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_hashing_vectorizer PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_feature_names PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_max_features[CountVectorizer] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_max_features[TfidfVectorizer] PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_count_vectorizer_max_features PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_max_df PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_min_df PASSED [ 12%]
> sklearn/feature_extraction/tests/test_text.py::test_count_binary_occurrences PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_hashed_binary_occurrences PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_inverse_transform[CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_inverse_transform[TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_count_vectorizer_pipeline_grid_selection PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_cross_validation PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_unicode PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_with_fixed_vocabulary PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_pickling_vectorizer PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_pickling_built_processors[build_analyzer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_pickling_built_processors[build_preprocessor] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_pickling_built_processors[build_tokenizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_vocab_sets_when_pickling PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_vocab_dicts_when_pickling PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_stop_words_removal PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_pickling_transformer PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_transformer_idf_setter PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_setter PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidfvectorizer_invalid_idf_attr PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_non_unique_vocab PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_hashingvectorizer_nan_in_docs PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidfvectorizer_binary PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidfvectorizer_export_idf PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_vocab_clone PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_string_object_as_input[CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_string_object_as_input[TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_string_object_as_input[HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_transformer_type[float32] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_transformer_type[float64] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_transformer_sparse PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_type[int32-float64-True] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_type[int64-float64-True] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_type[float32-float32-False] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tfidf_vectorizer_type[float64-float64-False] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizers_invalid_ngram_range[vec0] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizers_invalid_ngram_range[vec1] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizers_invalid_ngram_range[vec2] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_countvectorizer_sort_features_64bit_sparse_indices PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_stop_word_validation_custom_preprocessor[CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_stop_word_validation_custom_preprocessor[TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_stop_word_validation_custom_preprocessor[HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer] XFAIL [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[file-AttributeError-'str' object has no attribute 'read'-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[file-AttributeError-'str' object has no attribute 'read'-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[file-AttributeError-'str' object has no attribute 'read'-HashingVectorizer] XFAIL [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>0-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>0-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>0-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>1-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>1-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[file-<lambda>1-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>0-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>0-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>0-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>1-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>1-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_change_behavior[filename-<lambda>1-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_reraise_error[CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_reraise_error[TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_reraise_error[HashingVectorizer] XFAIL [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[stop_words0-None-None-ngram_range0-None-char-'stop_words'-'analyzer'-!= 'word'-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[stop_words0-None-None-ngram_range0-None-char-'stop_words'-'analyzer'-!= 'word'-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[stop_words0-None-None-ngram_range0-None-char-'stop_words'-'analyzer'-!= 'word'-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range1-None-char-'tokenizer'-'analyzer'-!= 'word'-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range1-None-char-'tokenizer'-'analyzer'-!= 'word'-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range1-None-char-'tokenizer'-'analyzer'-!= 'word'-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range2-\\w+-word-'token_pattern'-'tokenizer'-is not None-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range2-\\w+-word-'token_pattern'-'tokenizer'-is not None-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-<lambda>-None-ngram_range2-\\w+-word-'token_pattern'-'tokenizer'-is not None-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range4-None-<lambda>-'ngram_range'-'analyzer'-is callable-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range4-None-<lambda>-'ngram_range'-'analyzer'-is callable-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range4-None-<lambda>-'ngram_range'-'analyzer'-is callable-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range5-\\w+-char-'token_pattern'-'analyzer'-!= 'word'-CountVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range5-\\w+-char-'token_pattern'-'analyzer'-!= 'word'-HashingVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-None-ngram_range5-\\w+-char-'token_pattern'-'analyzer'-!= 'word'-TfidfVectorizer] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_n_features_in[HashingVectorizer-X0] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_n_features_in[CountVectorizer-X1] PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_vectorizermixin_is_deprecated PASSED [ 13%]
> sklearn/feature_extraction/tests/test_text.py::test_tie_breaking_sample_order_invariance PASSED [ 13%]
> sklearn/feature_selection/tests/test_base.py::test_transform_dense PASSED [ 13%]
> sklearn/feature_selection/tests/test_base.py::test_transform_sparse PASSED [ 13%]
> sklearn/feature_selection/tests/test_base.py::test_inverse_transform_dense PASSED [ 13%]
> sklearn/feature_selection/tests/test_base.py::test_inverse_transform_sparse PASSED [ 13%]
> sklearn/feature_selection/tests/test_base.py::test_get_support PASSED    [ 13%]
> sklearn/feature_selection/tests/test_chi2.py::test_chi2 PASSED           [ 13%]
> sklearn/feature_selection/tests/test_chi2.py::test_chi2_coo PASSED       [ 13%]
> sklearn/feature_selection/tests/test_chi2.py::test_chi2_negative PASSED  [ 13%]
> sklearn/feature_selection/tests/test_chi2.py::test_chi2_unused_feature PASSED [ 13%]
> sklearn/feature_selection/tests/test_chi2.py::test_chisquare PASSED      [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_oneway_vs_scipy_stats PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_oneway_ints PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_classif PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_regression_input_dtype PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_regression_center PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_classif_multi_class PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_percentile_classif PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_percentile_classif_sparse PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_kbest_classif PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_kbest_all PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_kbest_zero PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_heuristics_classif PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_percentile_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_percentile_regression_full PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_invalid_percentile PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_kbest_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_heuristics_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_boundary_case_ch2 PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[1-0.001] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[1-0.01] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[1-0.1] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[5-0.001] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[5-0.01] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[5-0.1] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[10-0.001] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[10-0.01] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fdr_regression[10-0.1] PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_select_fwe_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_selectkbest_tiebreaking PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_selectpercentile_tiebreaking PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_tied_pvalues PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_scorefunc_multilabel PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_tied_scores PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_nans PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_score_func_error PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_no_feature_selected PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_mutual_info_classif PASSED [ 13%]
> sklearn/feature_selection/tests/test_feature_select.py::test_mutual_info_regression PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_invalid_input PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_input_estimator_unchanged PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_error[-1-ValueError-'max_features' should be 0 and] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_error[5-ValueError-'max_features' should be 0 and] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_error[gobbledigook-TypeError-should be an integer] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_error[all-TypeError-should be an integer] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_dim[0] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_dim[2] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_dim[4] PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_max_features_tiebreak PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_threshold_and_max_features PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_feature_importances PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_sample_weight PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_coef_default_threshold PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_2d_coef PASSED  [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_partial_fit PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_calling_fit_reinitializes PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_prefit PASSED   [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_threshold_string PASSED [ 13%]
> sklearn/feature_selection/tests/test_from_model.py::test_threshold_without_refitting PASSED [ 14%]
> sklearn/feature_selection/tests/test_from_model.py::test_fit_accepts_nan_inf PASSED [ 14%]
> sklearn/feature_selection/tests/test_from_model.py::test_transform_accepts_nan_inf PASSED [ 14%]
> sklearn/feature_selection/tests/test_from_model.py::test_allow_nan_tag_comes_from_estimator PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_compute_mi_dd PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_compute_mi_cc PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_compute_mi_cd PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_compute_mi_cd_unique_label PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_mutual_info_classif_discrete PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_mutual_info_regression PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_mutual_info_classif_mixed PASSED [ 14%]
> sklearn/feature_selection/tests/test_mutual_info.py::test_mutual_info_options PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_features_importance PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe PASSED             [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_mockclassifier PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfecv PASSED           [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfecv_mockclassifier PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfecv_verbose_output PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfecv_grid_scores_size PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_estimator_tags PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_min_step PASSED    [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_number_of_subsets_of_features PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_cv_n_jobs PASSED   [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_cv_groups PASSED   [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_allow_nan_inf_in_x[None] PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_rfe_allow_nan_inf_in_x[5] PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_multioutput[RFE] PASSED [ 14%]
> sklearn/feature_selection/tests/test_rfe.py::test_multioutput[RFECV] PASSED [ 14%]
> sklearn/feature_selection/tests/test_variance_threshold.py::test_zero_variance PASSED [ 14%]
> sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_threshold PASSED [ 14%]
> sklearn/feature_selection/tests/test_variance_threshold.py::test_zero_variance_floating_point_error PASSED [ 14%]
> sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_predict_consistent[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_predict_consistent[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_predict_consistent[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_predict_consistent[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_predict_consistent_structured PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_improving[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_improving[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_improving[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_precomputed[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_precomputed[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_precomputed[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_precomputed[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_without_cloning_kernel[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_without_cloning_kernel[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_without_cloning_kernel[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_without_cloning_kernel[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_converged_to_local_maximum[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_converged_to_local_maximum[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_converged_to_local_maximum[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_gradient[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_gradient[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_gradient[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_lml_gradient[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_random_starts PASSED    [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_custom_optimizer[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_custom_optimizer[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_custom_optimizer[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_interpolation_structured PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_improving[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_improving[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_improving[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_improving[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_improving[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel3] FAILED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_precomputed[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_without_cloning_kernel[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_converged_to_local_maximum[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_solution_inside_bounds[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_lml_gradient[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel0] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel1] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel2] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel3] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel4] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_prior[kernel5] PASSED   [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_sample_statistics[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_no_optimizer PASSED     [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_predict_cov_vs_std[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_random_starts PASSED    [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_normalization[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_large_variance_y PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_y_multioutput PASSED    [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_custom_optimizer[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_custom_optimizer[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_custom_optimizer[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_custom_optimizer[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_custom_optimizer[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_gpr_correct_error_message PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_duplicate_input[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_no_fit_default_predict PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel2] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel3] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel4] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_gpr.py::test_K_inv_reset[kernel5] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel0] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel1] PASSED [ 14%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel15] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel16] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel17] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel18] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel19] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel20] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel21] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel22] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel23] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel24] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel25] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_gradient[kernel26] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_theta[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel15] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel16] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel17] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel18] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel19] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel20] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel21] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel22] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel23] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel24] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_auto_vs_cross[kernel25] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel15] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel16] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel17] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel18] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel19] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel20] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel21] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel22] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel23] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel24] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel25] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_diag[kernel26] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_operator_commutative PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_anisotropic PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel15] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel16] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel17] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_stationary[kernel18] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel15] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel16] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel17] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel18] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel19] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel20] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel21] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel22] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel23] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel24] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel25] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_input_type[kernel26] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_compound_kernel_input_type PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel0] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel1] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel2] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel3] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel4] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel5] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel6] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel7] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel8] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel9] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel10] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel11] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel12] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel13] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel14] PASSED [ 15%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel15] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel16] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel17] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel18] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel19] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel20] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel21] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel22] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel23] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel24] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel25] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone[kernel26] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel0] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel1] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel2] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel3] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel4] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel5] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel6] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel7] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel8] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel9] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel10] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel11] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel12] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel13] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel14] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel15] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel16] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel17] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel18] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel19] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel20] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel21] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel22] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel23] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel24] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel25] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_clone_after_set_params[kernel26] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_matern_kernel PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel0] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel1] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel2] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel3] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel4] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel5] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel6] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel7] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel8] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel9] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel10] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel11] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel12] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel13] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel14] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel15] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel16] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel17] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel18] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel19] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel20] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel21] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel22] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel23] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel24] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel25] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_kernel_versus_pairwise[kernel26] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel0] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel1] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel2] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel3] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel4] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel5] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel6] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel7] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel8] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel9] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel10] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel11] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel12] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel13] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel14] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel15] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel16] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel17] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel18] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel19] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel20] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel21] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel22] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel23] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel24] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel25] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_set_get_params[kernel26] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel0] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel1] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel2] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel3] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel4] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel5] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel6] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel7] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel8] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel9] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel10] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel11] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel12] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel13] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel14] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel15] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel16] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel17] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel18] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel19] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel20] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel21] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel22] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel23] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel24] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel25] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_repr_kernels[kernel26] PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_warns_on_get_params_non_attribute PASSED [ 16%]
> sklearn/gaussian_process/tests/test_kernels.py::test_rational_quadratic_kernel PASSED [ 16%]
> sklearn/impute/tests/test_base.py::test_base_imputer_not_fit PASSED      [ 16%]
> sklearn/impute/tests/test_base.py::test_base_imputer_not_transform PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputation_missing_value_in_test_array[imputer0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputation_missing_value_in_test_array[imputer1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputation_missing_value_in_test_array[imputer2] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer0-nan] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer0--1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer0-0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer1-nan] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer1--1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer1-0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer2-nan] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer2--1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator[imputer2-0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator_sparse[imputer0-nan] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_add_indicator_sparse[imputer0--1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[True-imputer0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[True-imputer1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[True-imputer2] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[False-imputer0] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[False-imputer1] PASSED [ 16%]
> sklearn/impute/tests/test_common.py::test_imputers_pandas_na_integer_array_support[False-imputer2] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_shape[mean] PASSED  [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_shape[median] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_shape[most_frequent] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_shape[constant] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_invalid_strategy[const] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_invalid_strategy[101] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_invalid_strategy[None] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_deletion_warning[mean] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_deletion_warning[median] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_deletion_warning[most_frequent] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_sparse_0[mean] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_sparse_0[median] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_sparse_0[most_frequent] PASSED [ 16%]
> sklearn/impute/tests/test_impute.py::test_imputation_error_sparse_0[constant] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median PASSED  [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_median_special_cases PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[None-mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[None-median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[object-mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[object-median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[str-mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type[str-median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type_list_pandas[list-mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type_list_pandas[list-median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type_list_pandas[dataframe-mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_mean_median_error_invalid_type_list_pandas[dataframe-median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[str-constant] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[str-most_frequent] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[dtype1-constant] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[dtype1-most_frequent] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[dtype2-constant] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_const_mostf_error_invalid_types[dtype2-most_frequent] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_objects[None] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_objects[nan] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_objects[NAN] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_objects[] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_objects[0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_pandas[object] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_most_frequent_pandas[category] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_error_invalid_type[1-0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_error_invalid_type[1.0-nan] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_integer PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_float[csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_float[asarray] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_object[None] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_object[nan] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_object[NAN] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_object[] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_object[0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_pandas[object] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_constant_pandas[category] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_one_feature[X0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_one_feature[X1] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_pipeline_grid_search PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_copy PASSED         [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_zero_iters PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_verbose PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_imputation_order[random] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_imputation_order[roman] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_imputation_order[ascending] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_imputation_order[descending] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_imputation_order[arabic] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_estimators[None] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_estimators[estimator1] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_estimators[estimator2] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_estimators[estimator3] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_estimators[estimator4] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_clip PASSED  [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_clip_truncnorm PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_truncated_normal_posterior PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_missing_at_transform[mean] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_missing_at_transform[median] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_missing_at_transform[most_frequent] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_transform_stochasticity PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_no_missing PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_rank_one PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_transform_recovery[3] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_transform_recovery[5] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_additive_matrix PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_error_param[-1-0.001-ValueError-should be a positive integer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_error_param[1--0.001-ValueError-should be a non-negative float] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_early_stopping PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_catch_warning PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like[scalars] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like[None-default] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like[inf] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like[lists] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like[lists-with-inf] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_catch_min_max_error[100-0-min_value >= max_value.] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_catch_min_max_error[inf--inf-min_value >= max_value.] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_catch_min_max_error[min_value2-max_value2-_value' should be of shape] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like_imputation[None-vs-inf] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_array_like_imputation[Scalar-vs-vector] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_skip_non_missing[True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_iterative_imputer_skip_non_missing[False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_error[X_fit0-X_trans0-params0-have missing values in transform but have no missing values in fit] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_error[X_fit1-X_trans1-params1-'features' has to be either 'missing-only' or 'all'] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_error[X_fit2-X_trans2-params2-'sparse' has to be a boolean or 'auto'] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_error[X_fit3-X_trans3-params3-MissingIndicator does not support data with dtype] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-0-int32-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0-nan-float64-bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[missing-only-3-features_indices0--1-int32-bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-0-int32-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-array] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1-nan-float64-bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_new[all-3-features_indices1--1-int32-bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_raise_on_sparse_with_missing_0[csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_raise_on_sparse_with_missing_0[csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_raise_on_sparse_with_missing_0[coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_raise_on_sparse_with_missing_0[lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_raise_on_sparse_with_missing_0[bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-array-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-array-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-array-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[0-array-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[0-array-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[0-array-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csc_matrix-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csc_matrix-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csc_matrix-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csr_matrix-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csr_matrix-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-csr_matrix-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-coo_matrix-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-coo_matrix-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-coo_matrix-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-lil_matrix-True] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-lil_matrix-False] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_param[nan-lil_matrix-auto] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_string PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_with_imputer[X0-a-X_trans_exp0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_with_imputer[X1-nan-X_trans_exp1] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_with_imputer[X2-nan-X_trans_exp2] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_with_imputer[X3-None-X_trans_exp3] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_inconsistent_dtype_X_missing_values[NaN-nan-Input contains NaN-SimpleImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_inconsistent_dtype_X_missing_values[NaN-nan-Input contains NaN-IterativeImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_inconsistent_dtype_X_missing_values[-1--1-types are expected to be both numerical.-SimpleImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_inconsistent_dtype_X_missing_values[-1--1-types are expected to be both numerical.-IterativeImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_no_missing PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_missing_indicator_sparse_no_explicit_zeros PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputer_without_indicator[SimpleImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputer_without_indicator[IterativeImputer] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csc_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[csr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[coo_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[lil_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_simple_imputation_add_indicator_sparse_matrix[bsr_matrix] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_order[ascending-idx_order0] PASSED [ 17%]
> sklearn/impute/tests/test_impute.py::test_imputation_order[descending-idx_order1] PASSED [ 17%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[1-uniform] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[1-distance] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[2-uniform] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[2-distance] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[3-uniform] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[3-distance] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[4-uniform] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[4-distance] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[5-uniform] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_shape[5-distance] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_default_with_invalid_input[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_default_with_invalid_input[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_removes_all_na_features[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_removes_all_na_features[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_zero_nan_imputes_the_same[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_zero_nan_imputes_the_same[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_verify[nan] PASSED    [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_verify[-1] PASSED     [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_one_n_neighbors[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_one_n_neighbors[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_all_samples_are_neighbors[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_all_samples_are_neighbors[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_weight_uniform[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_weight_uniform[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_weight_distance[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_weight_distance[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_callable_metric PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-None] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-None] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_not_enough_valid_distances[uniform--1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_not_enough_valid_distances[uniform-nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_not_enough_valid_distances[distance--1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_not_enough_valid_distances[distance-nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_drops_all_nan_features[-1] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_drops_all_nan_features[nan] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-None] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-None] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0] PASSED [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_tags[-1-False] PASSED         [ 18%]
> sklearn/impute/tests/test_knn.py::test_knn_tags[nan-True] PASSED         [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence[10] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence[20] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-None] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-list] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-list] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-list] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-array] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-array] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-array] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-series] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-series] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-series] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-index] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-index] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-index] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_custom_axes PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_passing_numpy_axes PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_incorrent_num_axes[2-2] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_incorrent_num_axes[3-1] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_with_same_axes PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_feature_name_reuse PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multioutput[0] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multioutput[1] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_dataframe PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data0-params0-target must be specified for multi-output] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data1-params1-target must be in \\[0, n_tasks\\]] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data2-params2-target must be in \\[0, n_tasks\\]] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data3-params3-Feature foobar not in feature_names] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data4-params4-Feature foobar not in feature_names] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data5-params5-Each entry in features must be either an int, ] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data6-params6-Each entry in features must be either an int, ] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data7-params7-Each entry in features must be either an int, ] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data8-params8-All entries of features must be less than ] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data9-params9-feature_names should not contain duplicates] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params0-target not in est.classes_, got 4] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params1-target must be specified for multi-class] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params2-Each entry in features must be either an int,] PASSED [ 18%]
> sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_fig_deprecated PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingClassifier-recursion-data0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingClassifier-recursion-data1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingClassifier-brute-data2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingClassifier-brute-data3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingRegressor-recursion-data4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-GradientBoostingRegressor-brute-data5] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-DecisionTreeRegressor-brute-data6] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-LinearRegression-brute-data7] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-LinearRegression-brute-data8] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-LogisticRegression-brute-data9] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-LogisticRegression-brute-data10] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-5-MultiTaskLasso-brute-data11] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingClassifier-recursion-data0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingClassifier-recursion-data1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingClassifier-brute-data2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingClassifier-brute-data3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingRegressor-recursion-data4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-GradientBoostingRegressor-brute-data5] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-DecisionTreeRegressor-brute-data6] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-LinearRegression-brute-data7] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-LinearRegression-brute-data8] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-LogisticRegression-brute-data9] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-LogisticRegression-brute-data10] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features0-10-MultiTaskLasso-brute-data11] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingClassifier-recursion-data0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingClassifier-recursion-data1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingClassifier-brute-data2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingClassifier-brute-data3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingRegressor-recursion-data4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-GradientBoostingRegressor-brute-data5] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-DecisionTreeRegressor-brute-data6] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-LinearRegression-brute-data7] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-LinearRegression-brute-data8] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-LogisticRegression-brute-data9] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-LogisticRegression-brute-data10] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-5-MultiTaskLasso-brute-data11] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingClassifier-recursion-data0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingClassifier-recursion-data1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingClassifier-brute-data2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingClassifier-brute-data3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingRegressor-recursion-data4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-GradientBoostingRegressor-brute-data5] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-DecisionTreeRegressor-brute-data6] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-LinearRegression-brute-data7] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-LinearRegression-brute-data8] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-LogisticRegression-brute-data9] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-LogisticRegression-brute-data10] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_output_shape[features1-10-MultiTaskLasso-brute-data11] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[2-percentiles0-percentiles are too close] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[100-percentiles1-'percentiles' must be a sequence of 2 elements] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[100-12345-'percentiles' must be a sequence of 2 elements] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[100-percentiles3-'percentiles' values must be in \\[0, 1\\]] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[100-percentiles4-'percentiles' values must be in \\[0, 1\\]] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[100-percentiles5-percentiles\\[0\\] must be strictly less than] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_grid_from_X_error[1-percentiles6-'grid_resolution' must be strictly greater than 1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est0-brute-0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est0-brute-1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est0-brute-2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est0-brute-3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est0-brute-4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est1-brute-0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est1-brute-1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est1-brute-2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est1-brute-3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est1-brute-4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est2-recursion-0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est2-recursion-1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est2-recursion-2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est2-recursion-3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est2-recursion-4] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-0] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-1] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-2] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-3] PASSED [ 18%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est3-brute-4] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-2] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-3] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_helpers[est4-recursion-4] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_tree_vs_forest_and_gbdt[0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[0-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[0-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[1-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[1-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[2-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[2-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[3-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[3-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[4-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[4-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[5-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_recursion_decision_function[5-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[1-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[1-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[1-est2] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[1-est3] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[2-est0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[2-est1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[2-est2] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_easy_target[2-est3] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[DecisionTreeClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[ExtraTreeClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[ExtraTreesClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[KNeighborsClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[RadiusNeighborsClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_multiclass_multioutput[RandomForestClassifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator0-params0-'estimator' must be a fitted regressor or classifier] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator1-params1-The response_method parameter is ignored for regressors] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator2-params2-'recursion' method, the response_method must be 'decision_function'] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator3-params3-'recursion' method, the response_method must be 'decision_function'] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator4-params4-response_method blahblah is invalid. Accepted response_method] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator5-params5-The estimator has no predict_proba and no decision_function method] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator6-params6-The estimator has no predict_proba method.] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator7-params7-The estimator has no decision_function method.] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator8-params8-blahblah is invalid. Accepted method names are brute, recursion, auto] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_error[estimator9-params9-Only the following estimators support the 'recursion' method:] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_slice_error[True-Only array-like or scalar are supported] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_slice_error[False-Only array-like or scalar are supported] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_indices[-1-estimator0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_indices[-1-estimator1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_indices[10000-estimator0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_indices[10000-estimator1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_string[estimator0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unknown_feature_string[estimator1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_X_list[estimator0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_X_list[estimator1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_warning_recursion_non_constant_init PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_sample_weight PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_hist_gbdt_sw_not_supported PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_pipeline PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-None-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-None-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-column-transformer-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-column-transformer-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-column-transformer-passthrough-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-integer-column-transformer-passthrough-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-None-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-None-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-column-transformer-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-column-transformer-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-column-transformer-passthrough-estimator-brute] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_dataframe[features-string-column-transformer-passthrough-estimator-recursion] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_feature_type[scalar-int] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_feature_type[scalar-str] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_feature_type[list-int] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_feature_type[list-str] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_feature_type[mask] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unfitted[estimator0] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unfitted[estimator1] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unfitted[estimator2] PASSED [ 19%]
> sklearn/inspection/tests/test_partial_dependence.py::test_partial_dependence_unfitted[estimator3] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_correlated_feature_regression[1] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_correlated_feature_regression[2] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_correlated_feature_regression_pandas[1] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_correlated_feature_regression_pandas[2] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_robustness_to_high_cardinality_noisy_feature[1] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_robustness_to_high_cardinality_noisy_feature[2] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_mixed_types PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_mixed_types_pandas PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_linear_regresssion PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_equivalence_sequential_parallel PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_equivalence_array_dataframe[None] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_equivalence_array_dataframe[1] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_equivalence_array_dataframe[2] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_large_memmaped_data[array] PASSED [ 19%]
> sklearn/inspection/tests/test_permutation_importance.py::test_permutation_importance_large_memmaped_data[dataframe] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_sample_weights_validation PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_family_argument[normal-instance0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_family_argument[poisson-instance1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_family_argument[gamma-instance2] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_family_argument[inverse-gaussian-instance3] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_argument[identity-instance0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_argument[log-instance1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_auto[normal-IdentityLink] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_auto[poisson-LogLink] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_auto[gamma-LogLink] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_link_auto[inverse-gaussian-LogLink] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_alpha_argument[not a number] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_alpha_argument[-4.2] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_fit_intercept_argument[not bool] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_fit_intercept_argument[1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_fit_intercept_argument[0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_fit_intercept_argument[fit_intercept3] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_solver_argument[not a solver] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_solver_argument[1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_solver_argument[solver2] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_max_iter_argument[not a number] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_max_iter_argument[0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_max_iter_argument[-1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_max_iter_argument[5.5] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_max_iter_argument[max_iter4] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_tol_argument[not a number] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_tol_argument[0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_tol_argument[-1.0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_tol_argument[tol3] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_warm_start_argument[not bool] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_warm_start_argument[1] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_warm_start_argument[0] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_warm_start_argument[warm_start3] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_identity_regression[False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_identity_regression[True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[normal-0.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[normal-0.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[normal-1.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[normal-1.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[poisson-0.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[poisson-0.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[poisson-1.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[poisson-1.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[gamma-0.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[gamma-0.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[gamma-1.0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_sample_weight_consistentcy[gamma-1.0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family0-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family0-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family1-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family1-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family2-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family2-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family3-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family3-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family4-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family4-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family5-True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_glm_log_regression[family5-False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_warm_start[True] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_warm_start[False] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[None-True-100-10] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[None-True-10-100] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[None-False-100-10] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[None-False-10-100] PASSED [ 19%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[True-True-100-10] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[True-True-10-100] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[True-False-100-10] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_normal_ridge_comparison[True-False-10-100] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_poisson_glmnet PASSED  [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_convergence_warning PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_poisson_regression_family PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_gamma_regression_family PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_tweedie_regression_family PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_tags[estimator0-True] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_tags[estimator1-True] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_tags[estimator2-True] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_glm.py::test_tags[estimator3-False] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_properties[IdentityLink] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_properties[LogLink] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_properties[LogitLink] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_derivative[IdentityLink] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_derivative[LogLink] PASSED [ 20%]
> sklearn/linear_model/_glm/tests/test_link.py::test_link_derivative[LogitLink] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression PASSED   [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sample_weights PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_raises_value_error_if_sample_weights_greater_than_1d PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_fit_intercept PASSED       [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse_equal_dense[True-True] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse_equal_dense[True-False] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse_equal_dense[False-True] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse_equal_dense[False-False] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_multiple_outcome PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_sparse_multiple_outcome PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_linear_regression_pd_sparse_dataframe_warning PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_data PASSED     [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_data_multioutput PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_data_weighted PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_sparse_preprocess_data_with_return_mean PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_csr_preprocess_data PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_copy_data_no_checks[True-True] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_copy_data_no_checks[True-False] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_copy_data_no_checks[False-True] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_preprocess_copy_data_no_checks[False-False] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_dtype_preprocess_data PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_rescale_data_dense[None] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_rescale_data_dense[2] PASSED [ 20%]
> sklearn/linear_model/tests/test_base.py::test_fused_types_make_dataset PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_n_iter PASSED             [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_bayesian_ridge_scores PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_bayesian_ridge_score_values PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_bayesian_ridge_parameter PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_bayesian_sample_weights PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_toy_bayesian_ridge_object PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_bayesian_initial_params PASSED [ 20%]
> sklearn/linear_model/tests/test_bayes.py::test_prediction_bayesian_ridge_ard_with_constant_input PASSED [ 20%]
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> sklearn/linear_model/tests/test_coordinate_descent.py::test_set_order_dense[C-C] PASSED [ 20%]
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> sklearn/linear_model/tests/test_coordinate_descent.py::test_sparse_dense_descent_paths PASSED [ 20%]
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> sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_non_float_y[ElasticNet] PASSED [ 20%]
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> sklearn/linear_model/tests/test_coordinate_descent.py::test_warm_start_multitask_lasso PASSED [ 20%]
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> sklearn/linear_model/tests/test_least_angle.py::test_lasso_lars_vs_lasso_cd_ill_conditioned PASSED [ 21%]
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> sklearn/linear_model/tests/test_least_angle.py::test_lars_n_nonzero_coefs PASSED [ 21%]
> sklearn/linear_model/tests/test_least_angle.py::test_multitarget PASSED  [ 21%]
> sklearn/linear_model/tests/test_least_angle.py::test_lars_cv PASSED      [ 21%]
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> sklearn/linear_model/tests/test_least_angle.py::test_lasso_lars_ic PASSED [ 21%]
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> sklearn/linear_model/tests/test_least_angle.py::test_lars_path_positive_constraint PASSED [ 21%]
> sklearn/linear_model/tests/test_least_angle.py::test_estimatorclasses_positive_constraint PASSED [ 21%]
> sklearn/linear_model/tests/test_least_angle.py::test_lasso_lars_vs_lasso_cd_positive PASSED [ 21%]
> sklearn/linear_model/tests/test_least_angle.py::test_lasso_lars_vs_R_implementation PASSED [ 21%]
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> sklearn/linear_model/tests/test_logistic.py::test_logistic_cv PASSED     [ 21%]
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> sklearn/linear_model/tests/test_logistic.py::test_ovr_multinomial_iris PASSED [ 21%]
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> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-True-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-True-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-True-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-True-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-False-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-False-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-False-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-True-False-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-True-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-True-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-True-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-True-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-False-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-False-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-False-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[ovr-False-False-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-True-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-True-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-True-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-True-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-False-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-False-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-False-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-True-False-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-True-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-True-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-True-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-True-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-False-newton-cg] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-False-sag] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-False-saga] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start[multinomial-False-False-lbfgs] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_saga_vs_liblinear PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-newton-cg-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-newton-cg-multinomial] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-liblinear-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-liblinear-multinomial] SKIPPED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-saga-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[False-saga-multinomial] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-newton-cg-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-newton-cg-multinomial] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-liblinear-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-liblinear-multinomial] SKIPPED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-saga-ovr] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_dtype_match[True-saga-multinomial] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_warm_start_converge_LR PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_coeffs PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-0.001] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-0.1] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-1] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-10] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-100] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-1000] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l1-1-1000000.0] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-0.001] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-0.1] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-1] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-10] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-100] PASSED [ 21%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-1000] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[l2-0-1000000.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_vs_l1_l2[0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_vs_l1_l2[1] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_vs_l1_l2[100] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_vs_l1_l2[1000000.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.1-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.1-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.1-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.1-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.5-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.5-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.5-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.5-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.9-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.9-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.9-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegression_elastic_net_objective[0.9-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_GridSearchCV_elastic_net[ovr] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_GridSearchCV_elastic_net[multinomial] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_GridSearchCV_elastic_net_ovr PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[ovr-l2] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[ovr-elasticnet] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[multinomial-l2] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[multinomial-elasticnet] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[auto-l2] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_no_refit[auto-elasticnet] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_LogisticRegressionCV_elasticnet_attribute_shapes PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_param[-1] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_param[2] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_param[None] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_param[something_wrong] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratios_param[l1_ratios0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratios_param[l1_ratios1] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratios_param[None] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_l1_ratios_param[something_wrong] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.1-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.1-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.1-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.1-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.5-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.5-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.5-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.5-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.9-0.001] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.9-0.046415888336127795] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.9-2.1544346900318843] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_elastic_net_versus_sgd[0.9-100.0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_path_coefs_multinomial PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[liblinear-LogisticRegression] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[liblinear-LogisticRegressionCV] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[lbfgs-LogisticRegression] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[lbfgs-LogisticRegressionCV] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[newton-cg-LogisticRegression] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[newton-cg-LogisticRegressionCV] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[sag-LogisticRegression] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[sag-LogisticRegressionCV] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[saga-LogisticRegression] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logistic_regression_multi_class_auto[saga-LogisticRegressionCV] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_penalty_none[lbfgs] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_penalty_none[newton-cg] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_penalty_none[sag] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_penalty_none[saga] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logisticregression_liblinear_sample_weight[params0] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logisticregression_liblinear_sample_weight[params1] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_logisticregression_liblinear_sample_weight[params2] PASSED [ 22%]
> sklearn/linear_model/tests/test_logistic.py::test_scores_attribute_layout_elasticnet PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_correct_shapes PASSED       [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_correct_shapes_gram PASSED  [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_n_nonzero_coefs PASSED      [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_tol PASSED                  [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_with_without_gram PASSED    [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_with_without_gram_tol PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_bad_input PASSED            [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_perfect_signal_recovery PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_orthogonal_mp_gram_readonly PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_estimator PASSED            [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_identical_regressors PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_swapped_regressors PASSED   [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_no_atoms PASSED             [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_omp_path PASSED             [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_omp_return_path_prop_with_gram PASSED [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_omp_cv PASSED               [ 22%]
> sklearn/linear_model/tests/test_omp.py::test_omp_reaches_least_squares PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_accuracy PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_partial_fit PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_refit PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_correctness[hinge] PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_correctness[squared_hinge] PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_classifier_undefined_methods PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_class_weights PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_partial_fit_weight_class_balanced PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_equal_class_weight PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_wrong_class_weight_label PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_wrong_class_weight_format PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_regressor_mse PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_regressor_partial_fit PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_regressor_correctness[epsilon_insensitive] PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_regressor_correctness[squared_epsilon_insensitive] PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_regressor_undefined_methods PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_passive_aggressive_deprecated_attr[PassiveAggressiveClassifier] PASSED [ 22%]
> sklearn/linear_model/tests/test_passive_aggressive.py::test_passive_aggressive_deprecated_attr[PassiveAggressiveRegressor] PASSED [ 22%]
> sklearn/linear_model/tests/test_perceptron.py::test_perceptron_accuracy PASSED [ 22%]
> sklearn/linear_model/tests/test_perceptron.py::test_perceptron_correctness PASSED [ 22%]
> sklearn/linear_model/tests/test_perceptron.py::test_undefined_methods PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_inliers_outliers PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_is_data_valid PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_is_model_valid PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_max_trials PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_stop_n_inliers PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_stop_score PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_score PASSED      [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_predict PASSED    [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_resid_thresh_no_inliers PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_no_valid_data PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_no_valid_model PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_exceed_max_skips PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_warn_exceed_max_skips PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_sparse_coo PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_sparse_csr PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_sparse_csc PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_none_estimator PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_min_n_samples PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_multi_dimensional_targets PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_residual_loss PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_default_residual_threshold PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_dynamic_max_trials PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_fit_sample_weight PASSED [ 22%]
> sklearn/linear_model/tests/test_ransac.py::test_ransac_final_model_fit_sample_weight PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge[svd] PASSED         [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge[sparse_cg] PASSED   [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge[cholesky] PASSED    [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge[lsqr] PASSED        [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge[sag] PASSED         [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_primal_dual_relationship PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_singular PASSED     [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_convergence_fail PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weights PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_shapes PASSED       [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_intercept PASSED    [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_toy_ridge_object PASSED   [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_vs_lstsq PASSED     [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_individual_penalties PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_X_CenterStackOp[n_col0] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_X_CenterStackOp[n_col1] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_X_CenterStackOp[n_col2] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[True-shape0] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[True-shape1] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[True-shape2] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[True-shape3] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[True-shape4] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[False-shape0] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[False-shape1] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[False-shape2] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[False-shape3] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_gram[False-shape4] PASSED [ 22%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[True-shape0] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[True-shape1] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[True-shape2] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[True-shape3] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[True-shape4] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[False-shape0] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[False-shape1] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[False-shape2] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[False-shape3] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_compute_covariance[False-shape4] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float32-0.1-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-40-float32-1.0-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed0-20-float64-0.2-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float32-0.1-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-40-float32-1.0-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed1-20-float64-0.2-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float32-0.1-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-40-float32-1.0-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-cholesky-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-sag-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-sparse_cg-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-sparse_cg-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-lsqr-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-saga-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-ridgecv-False] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_solver_consistency[seed2-20-float64-0.2-ridgecv-True] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-True-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape0-True-1.0-False-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-True-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape1-False-30.0-False-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-True-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape0-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape0-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape0-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape0-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape1-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape1-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape1-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_vs_ridge_loo_cv[y_shape2-False-150.0-False-X_shape1-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_loo_cv_asym_scoring PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-8-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-8-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-8-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-8-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-20-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-20-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-20-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape0-True-1.0-20-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-8-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-8-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-8-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-8-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-20-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-20-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-20-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape1-True-20.0-20-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-8-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-8-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-8-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-8-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-20-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-20-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-20-csr_matrix-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape2-True-150.0-20-csr_matrix-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-8-asarray-svd] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-8-asarray-eigen] PASSED [ 23%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-8-csr_matrix-svd] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-8-csr_matrix-eigen] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-20-asarray-svd] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-20-asarray-eigen] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-20-csr_matrix-svd] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_sample_weights[y_shape3-False-30.0-20-csr_matrix-eigen] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_error[True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_error[1] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_error[5] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_error[bad] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_error[gcv] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[None-svd-eigen-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[None-svd-eigen-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[auto-svd-eigen-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[auto-svd-eigen-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[eigen-eigen-eigen-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[eigen-eigen-eigen-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[svd-svd-svd-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_check_gcv_mode_choice[svd-svd-svd-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_cv_values_not_stored[ridge0-make_regression] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_gcv_cv_values_not_stored[ridge1-make_classification] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_best_score[None-ridge0-make_regression] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_best_score[None-ridge1-make_classification] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_best_score[3-ridge0-make_regression] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_best_score[3-ridge1-make_classification] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-None-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-None-accuracy] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-None-_accuracy_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-cv1-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-cv1-accuracy] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>0-cv1-_accuracy_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-None-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-None-accuracy] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-None-_accuracy_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-cv1-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-cv1-accuracy] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[<lambda>1-cv1-_accuracy_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[<lambda>0-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[<lambda>0-cv1] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[<lambda>1-None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[<lambda>1-cv1] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_ridge_loo] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_ridge_cv] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_ridge_cv_normalize] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_ridge_diabetes] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_multi_ridge_diabetes] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_ridge_classifiers] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dense_sparse[_test_tolerance] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_sparse_svd PASSED   [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_class_weights PASSED      [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_class_weight_vs_sample_weight[RidgeClassifier] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_class_weight_vs_sample_weight[RidgeClassifierCV] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_class_weights_cv PASSED   [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_store_cv_values[None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_store_cv_values[neg_mean_squared_error] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_store_cv_values[_mean_squared_error_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_cv_store_cv_values[None] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_cv_store_cv_values[accuracy] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_cv_store_cv_values[_accuracy_callable] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_raises_value_error_if_sample_weights_greater_than_1d PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_sparse_design_with_sample_weights PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_int_alphas PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridgecv_negative_alphas PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_raises_value_error_if_solver_not_supported PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_sparse_cg_max_iter PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_n_iter PASSED             [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse[sparse_cg] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse[auto] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse_error[saga] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse_error[lsqr] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse_error[svd] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse_error[cholesky] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_fit_intercept_sparse_sag PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[auto-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sparse_cg-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[cholesky-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[lsqr-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[sag-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-array-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-array-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-array-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-array-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-csr_matrix-None-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-csr_matrix-None-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-csr_matrix-sample_weight1-False] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_check_arguments_validity[saga-csr_matrix-sample_weight1-True] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_no_support_multilabel PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[svd] PASSED   [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[sparse_cg] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[cholesky] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[lsqr] PASSED  [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[sag] PASSED   [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match[saga] PASSED  [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_dtype_match_cholesky PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-svd] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-cholesky] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-lsqr] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-sparse_cg] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-sag] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_dtype_stability[0-saga] PASSED [ 24%]
> sklearn/linear_model/tests/test_ridge.py::test_ridge_sag_with_X_fortran PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_classifier_matching PASSED  [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_regressor_matching PASSED   [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_logistic_regression PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_ridge_regression PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_regressor_computed_correctly PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_get_auto_step_size PASSED   [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_regressor PASSED        [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_classifier_computed_correctly PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_multiclass_computed_correctly PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_classifier_results PASSED   [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_binary_classifier_class_weight PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_multiclass_classifier_class_weight PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_classifier_single_class PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_step_size_alpha_error PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_multinomial_loss PASSED     [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_multinomial_loss_ground_truth PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[sag] PASSED [ 24%]
> sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[saga] PASSED [ 24%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha[SGDClassifier] PASSED [ 24%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha[SparseSGDClassifier] PASSED [ 24%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_penalty[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_penalty[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_penalty[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_penalty[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_loss[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_loss[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_loss[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_loss[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_clone[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_clone[SGDRegressor] PASSED  [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_deprecated_attr[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_deprecated_attr[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha_for_optimal_learning_rate[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha_for_optimal_learning_rate[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha_for_optimal_learning_rate[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_alpha_for_optimal_learning_rate[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SparseSGDRegressor] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_clf[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_clf[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_l1_ratio[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_l1_ratio[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_learning_rate_schedule[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_learning_rate_schedule[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_eta0[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_bad_eta0[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_max_iter_param[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_max_iter_param[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_shuffle_param[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_shuffle_param[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_param[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_param[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_validation_fraction[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_validation_fraction[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_n_iter_no_change[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_n_iter_no_change[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_argument_coef[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_argument_coef[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept_binary[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept_binary[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_average_binary_computed_correctly[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_average_binary_computed_correctly[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept_to_intercept[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_intercept_to_intercept[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_at_least_two_labels[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_at_least_two_labels[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_weight_class_balanced[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_weight_class_balanced[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_average[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_average[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_with_init_coef[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_with_init_coef[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_njobs[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_njobs[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_coef_multiclass[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_set_coef_multiclass[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_predict_proba_method_access[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_predict_proba_method_access[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_proba[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_proba[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_l1[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_l1[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_class_weights[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_class_weights[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_equal_class_weight[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_equal_class_weight[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_label[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_label[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_format[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_format[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_weights_multiplied[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_weights_multiplied[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_balanced_weight[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_balanced_weight[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sample_weights[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_sample_weights[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_exception[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_exception[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_binary[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_binary[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass_average[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass_average[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_fit_then_partial_fit[SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_fit_then_partial_fit[SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[constant-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[constant-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[optimal-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[optimal-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[invscaling-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[invscaling-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[adaptive-SGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[adaptive-SparseSGDClassifier] PASSED [ 25%]
> sklearn/linear_model/tests/test_sgd.py::test_regression_losses[SGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_regression_losses[SparseSGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start_multiclass[SGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_warm_start_multiclass[SparseSGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_multiple_fit[SGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_multiple_fit[SparseSGDClassifier] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_reg[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_reg[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_computed_correctly[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_computed_correctly[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_partial_fit[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_partial_fit[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_average_sparse[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_average_sparse[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_least_squares_fit[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_least_squares_fit[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_epsilon_insensitive[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_epsilon_insensitive[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_huber_fit[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_sgd_huber_fit[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_elasticnet_convergence[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_elasticnet_convergence[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[constant-SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[constant-SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[optimal-SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[optimal-SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[invscaling-SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[invscaling-SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[adaptive-SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[adaptive-SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_loss_function_epsilon[SGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_loss_function_epsilon[SparseSGDRegressor] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_l1_ratio PASSED             [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_underflow_or_overlow PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_numerical_stability_large_gradient PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_large_regularization[l2] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_large_regularization[l1] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_large_regularization[elasticnet] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_tol_parameter PASSED        [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_hinge PASSED       [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_squared_hinge PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_log PASSED         [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_squared_loss PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_huber PASSED       [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_modified_huber PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_epsilon_insensitive PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_gradient_squared_epsilon_insensitive PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_multi_thread_multi_class_and_early_stopping PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_multi_core_gridsearch_and_early_stopping PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_SGDClassifier_fit_for_all_backends[loky] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_SGDClassifier_fit_for_all_backends[multiprocessing] PASSED [ 26%]
> sklearn/linear_model/tests/test_sgd.py::test_SGDClassifier_fit_for_all_backends[threading] PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_sparse_coef PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_normalize_option PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_enet_toy_list_input PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_enet_toy_explicit_sparse_input PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_sparse_enet_not_as_toy_dataset PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_sparse_lasso_not_as_toy_dataset PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_enet_multitarget PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_path_parameters PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_same_output_sparse_dense_lasso_and_enet_cv PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_same_multiple_output_sparse_dense PASSED [ 26%]
> sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_sparse_enet_coordinate_descent PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_modweiszfeld_step_1d PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_modweiszfeld_step_2d PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_spatial_median_1d PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_spatial_median_2d PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_theil_sen_1d PASSED   [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_theil_sen_1d_no_intercept PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_theil_sen_2d PASSED   [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_calc_breakdown_point PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_checksubparams_negative_subpopulation PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_checksubparams_too_few_subsamples PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_checksubparams_too_many_subsamples PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_checksubparams_n_subsamples_if_less_samples_than_features PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_subpopulation PASSED  [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_subsamples PASSED     [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_verbosity PASSED      [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_theil_sen_parallel PASSED [ 26%]
> sklearn/linear_model/tests/test_theil_sen.py::test_less_samples_than_features PASSED [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_isomap_simple_grid PASSED    [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_isomap_reconstruction_error PASSED [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_transform PASSED             [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_pipeline PASSED              [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_pipeline_with_nearest_neighbors_transformer PASSED [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_different_metric PASSED      [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_isomap_clone_bug PASSED      [ 26%]
> sklearn/manifold/tests/test_isomap.py::test_sparse_input PASSED          [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_barycenter_kneighbors_graph PASSED [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_lle_simple_grid PASSED [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_lle_manifold PASSED  [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_lle_init_parameters PASSED [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_pipeline PASSED      [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_singular_matrix PASSED [ 26%]
> sklearn/manifold/tests/test_locally_linear.py::test_integer_input PASSED [ 26%]
> sklearn/manifold/tests/test_mds.py::test_smacof PASSED                   [ 26%]
> sklearn/manifold/tests/test_mds.py::test_smacof_error PASSED             [ 26%]
> sklearn/manifold/tests/test_mds.py::test_MDS PASSED                      [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_sparse_graph_connected_component PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_two_components PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_precomputed_affinity[dense] PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_precomputed_affinity[sparse] PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_callable_affinity[dense] PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_callable_affinity[sparse] PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_amg_solver SKIPPED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_amg_solver_failure SKIPPED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_pipeline_spectral_clustering PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_unknown_eigensolver PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_unknown_affinity PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_connectivity PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_deterministic PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_unnormalized PASSED [ 26%]
> sklearn/manifold/tests/test_spectral_embedding.py::test_spectral_embedding_first_eigen_vector PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_gradient_descent_stops PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_binary_search PASSED          [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_binary_search_neighbors PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_binary_perplexity_stability PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_gradient PASSED               [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_trustworthiness PASSED        [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_preserve_trustworthiness_approximately[random-exact] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_preserve_trustworthiness_approximately[random-barnes_hut] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_preserve_trustworthiness_approximately[pca-exact] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_preserve_trustworthiness_approximately[pca-barnes_hut] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_optimization_minimizes_kl_divergence PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_fit_csr_matrix[exact] PASSED  [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_fit_csr_matrix[barnes_hut] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_preserve_trustworthiness_approximately_with_precomputed_distances PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_trustworthiness_not_euclidean_metric PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_early_exaggeration_too_small PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_too_few_iterations PASSED     [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D0-.* square distance matrix-exact-asarray] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D0-.* square distance matrix-barnes_hut-asarray] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D0-.* square distance matrix-barnes_hut-csr_matrix] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D1-.* positive.*-exact-asarray] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D1-.* positive.*-barnes_hut-asarray] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_bad_precomputed_distances[D1-.* positive.*-barnes_hut-csr_matrix] PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_exact_no_precomputed_sparse PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_high_perplexity_precomputed_sparse_distances PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_sparse_precomputed_distance PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_non_positive_computed_distances PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_init_not_available PASSED     [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_init_ndarray PASSED           [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_init_ndarray_precomputed PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_distance_not_available PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_method_not_available PASSED   [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_angle_out_of_range_checks PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_pca_initialization_not_compatible_with_precomputed_kernel PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_n_components_range PASSED     [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_early_exaggeration_used PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_n_iter_used PASSED            [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_answer_gradient_two_points PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_answer_gradient_four_points PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_skip_num_points_gradient PASSED [ 26%]
> sklearn/manifold/tests/test_t_sne.py::test_verbose PASSED                [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_chebyshev_metric PASSED       [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_reduction_to_one_component PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_64bit[float32-barnes_hut] PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_64bit[float32-exact] PASSED   [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_64bit[float64-barnes_hut] PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_64bit[float64-exact] PASSED   [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_kl_divergence_not_nan[barnes_hut] PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_kl_divergence_not_nan[exact] PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_barnes_hut_angle PASSED       [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_n_iter_without_progress PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_min_grad_norm PASSED          [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_accessible_kl_divergence PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_uniform_grid[barnes_hut] PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_uniform_grid[exact] PASSED    [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_bh_match_exact PASSED         [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_gradient_bh_multithread_match_sequential PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_tsne_with_different_distance_metrics PASSED [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_tsne_n_jobs[exact] PASSED     [ 27%]
> sklearn/manifold/tests/test_t_sne.py::test_tsne_n_jobs[barnes_hut] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_error_on_regressor PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_error_on_invalid_option PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix_custom_labels[True-True] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix_custom_labels[True-False] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix_custom_labels[False-True] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix_custom_labels[False-False] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[True-true] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[True-pred] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[True-all] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[True-None] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[False-true] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[False-pred] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[False-all] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_plot_confusion_matrix[False-None] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_display PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_contrast PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_pipeline[clf0] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_pipeline[clf1] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_pipeline[clf2] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_text_format[e] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_text_format[n] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_confusion_matrix_standard_format PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_default_labels[None-expected_labels0] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py::test_default_labels[display_labels1-expected_labels1] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_errors PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_error_bad_response[predict_proba-response method predict_proba is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_error_bad_response[decision_function-response method decision_function is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_error_bad_response[auto-response method decision_function or predict_proba is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_error_bad_response[bad_method-response_method must be 'predict_proba', 'decision_function' or 'auto'] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_plot_precision_recall[True-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_plot_precision_recall[True-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_plot_precision_recall[False-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_plot_precision_recall[False-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_precision_recall_curve_pipeline[clf0] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_precision_recall_curve_pipeline[clf1] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_precision_recall_curve_string_labels PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_plot_precision_recall_curve_estimator_name_multiple_calls PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_default_labels[0.9-None-AP = 0.90] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_default_labels[None-my_est-my_est] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_precision_recall.py::test_default_labels[0.8-my_est2-my_est2 (AP = 0.80)] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_error_non_binary PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_error_no_response[predict_proba-response method predict_proba is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_error_no_response[decision_function-response method decision_function is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_error_no_response[auto-response method decision_function or predict_proba is not defined in MyClassifier] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_error_no_response[bad_method-response_method must be 'predict_proba', 'decision_function' or 'auto'] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-True-True-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-True-True-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-True-False-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-True-False-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-False-True-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-False-True-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-False-False-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[True-False-False-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-True-True-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-True-True-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-True-False-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-True-False-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-False-True-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-False-True-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-False-False-predict_proba] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve[False-False-False-decision_function] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_roc_curve_not_fitted_errors[clf0] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_roc_curve_not_fitted_errors[clf1] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_roc_curve_not_fitted_errors[clf2] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_plot_roc_curve_estimator_name_multiple_calls PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_default_labels[0.9-None-AUC = 0.90] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_default_labels[None-my_est-my_est] PASSED [ 27%]
> sklearn/metrics/_plot/tests/test_plot_roc_curve.py::test_default_labels[0.8-my_est2-my_est2 (AUC = 0.80)] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_bicluster.py::test_jaccard PASSED     [ 27%]
> sklearn/metrics/cluster/tests/test_bicluster.py::test_consensus_score PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_bicluster.py::test_consensus_score_issue2445 PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetric_non_symmetric_union PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[adjusted_rand_score-y10-y20] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[v_measure_score-y11-y21] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[mutual_info_score-y12-y22] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[adjusted_mutual_info_score-y13-y23] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[normalized_mutual_info_score-y14-y24] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_symmetry[fowlkes_mallows_score-y15-y25] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_non_symmetry[homogeneity_score-y10-y20] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_non_symmetry[completeness_score-y11-y21] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[adjusted_rand_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[homogeneity_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[completeness_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[v_measure_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[adjusted_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[fowlkes_mallows_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_normalized_output[normalized_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[adjusted_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[adjusted_rand_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[completeness_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[homogeneity_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[normalized_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[v_measure_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[fowlkes_mallows_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[silhouette_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[silhouette_manhattan] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[calinski_harabasz_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_permute_labels[davies_bouldin_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[adjusted_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[adjusted_rand_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[completeness_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[homogeneity_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[normalized_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[v_measure_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[fowlkes_mallows_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[silhouette_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[silhouette_manhattan] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[calinski_harabasz_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_format_invariance[davies_bouldin_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[adjusted_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[adjusted_rand_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[completeness_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[homogeneity_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[normalized_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[v_measure_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_single_sample[fowlkes_mallows_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[adjusted_mutual_info_score-adjusted_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[adjusted_rand_score-adjusted_rand_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[completeness_score-completeness_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[homogeneity_score-homogeneity_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[mutual_info_score-mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[normalized_mutual_info_score-normalized_mutual_info_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[v_measure_score-v_measure_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[fowlkes_mallows_score-fowlkes_mallows_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[silhouette_score-silhouette_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[silhouette_manhattan-metric_func9] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[calinski_harabasz_score-calinski_harabasz_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_common.py::test_inf_nan_input[davies_bouldin_score-davies_bouldin_score] PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_error_messages_on_wrong_input PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_generalized_average PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_perfect_matches PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_homogeneous_but_not_complete_labeling PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_complete_but_not_homogeneous_labeling PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_not_complete_and_not_homogeneous_labeling PASSED [ 27%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_beta_parameter PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_non_consecutive_labels PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_adjustment_for_chance PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_adjusted_mutual_info_score PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_expected_mutual_info_overflow PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_int_overflow_mutual_info_fowlkes_mallows_score PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_entropy PASSED    [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_contingency_matrix PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_contingency_matrix_sparse PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_exactly_zero_info_score FAILED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_v_measure_and_mutual_information PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_fowlkes_mallows_score PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_fowlkes_mallows_score_properties PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_mutual_info_score_positive_constant_label[labels_true0-labels_pred0] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_mutual_info_score_positive_constant_label[labels_true1-labels_pred1] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_mutual_info_score_positive_constant_label[labels_true2-labels_pred2] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_supervised.py::test_mutual_info_score_positive_constant_label[labels_true3-labels_pred3] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_silhouette PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_cluster_size_1 PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_silhouette_paper_example PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_correct_labelsize PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_non_encoded_labels PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_non_numpy_labels PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_silhouette_nonzero_diag[float32] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_silhouette_nonzero_diag[float64] PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_calinski_harabasz_score PASSED [ 28%]
> sklearn/metrics/cluster/tests/test_unsupervised.py::test_davies_bouldin_score PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_dictionary_output PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_zero_division_warning[warn] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_zero_division_warning[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_zero_division_warning[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_accuracy_score_subset_accuracy PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f_binary_single_class PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f_extra_labels PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f_ignored_labels PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_average_precision_score_score_non_binary_class PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_average_precision_score_duplicate_values PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_average_precision_score_tied_values PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_fscore_support_errors PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f_unused_pos_label PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_confusion_matrix_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_confusion_matrix_multiclass PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_confusion_matrix_multilabel PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_confusion_matrix_errors PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize[true-f-0.333333333] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize[pred-f-0.333333333] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize[all-f-0.1111111111] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize[None-i-2] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize_wrong_option PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_normalize_single_class PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_cohen_kappa PASSED    [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_nan PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_against_numpy_corrcoef PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_against_jurman PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_multiclass PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_overflow[100] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef_overflow[10000] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_multiclass PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_refcall_f1_score_multilabel_unordered_labels[samples] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_refcall_f1_score_multilabel_unordered_labels[micro] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_refcall_f1_score_multilabel_unordered_labels[macro] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_refcall_f1_score_multilabel_unordered_labels[weighted] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_refcall_f1_score_multilabel_unordered_labels[None] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_binary_averaged PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_zero_precision_recall PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_multiclass_subset_labels PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_error[empty list] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_error[unknown labels] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_on_zero_length_input[None] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_on_zero_length_input[binary] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_on_zero_length_input[multiclass] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_confusion_matrix_dtype PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_balanced PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_with_label_detection PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_with_digits PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_with_string_label PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_with_unicode_label PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_multiclass_with_long_string_label PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_labels_target_names_unequal_length PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_classification_report_no_labels_target_names_unequal_length PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_classification_report PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_zero_one_loss_subset PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_hamming_loss PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_jaccard_score_validation PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multilabel_jaccard_score PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_multiclass_jaccard_score PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_average_binary_jaccard_score PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_multilabel_1 PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_multilabel_2 PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_with_an_empty_prediction[warn] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_with_an_empty_prediction[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_score_with_an_empty_prediction[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[0-macro-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[0-micro-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[0-weighted-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[0-samples-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[1-macro-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[1-micro-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[1-weighted-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels[1-samples-1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_check_warnings[macro] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_check_warnings[micro] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_check_warnings[weighted] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_check_warnings[samples] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_average_none[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_average_none[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_recall_f1_no_labels_average_none_warn PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_prf_warnings PASSED   [ 28%]
> sklearn/metrics/tests/test_classification.py::test_prf_no_warnings_if_zero_division_set[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_prf_no_warnings_if_zero_division_set[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_recall_warnings[warn] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_recall_warnings[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_recall_warnings[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_warnings[warn] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_warnings[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_precision_warnings[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_fscore_warnings[warn] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_fscore_warnings[0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_fscore_warnings[1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_prf_average_binary_data_non_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test__check_targets PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test__check_targets_multiclass_with_both_y_true_and_y_pred_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_hinge_loss_binary PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_hinge_loss_multiclass PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_hinge_loss_multiclass_missing_labels_with_labels_none PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_hinge_loss_multiclass_with_missing_labels PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_hinge_loss_multiclass_invariance_lists PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_log_loss PASSED       [ 28%]
> sklearn/metrics/tests/test_classification.py::test_log_loss_pandas_input PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_brier_score_loss PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score_unseen PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true0-y_pred0] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true1-y_pred1] PASSED [ 28%]
> sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetry_consistency PASSED   [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[accuracy_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[cohen_kappa_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[f1_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[hamming_loss] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[jaccard_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[macro_f1_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[macro_jaccard_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[matthews_corrcoef_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[max_error] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[mean_absolute_error] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[mean_normal_deviance] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[mean_squared_error] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[median_absolute_error] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_f0.5_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_f1_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_f2_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_jaccard_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_precision_score] PASSED [ 28%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[micro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[samples_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[unnormalized_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[unnormalized_zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[weighted_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_symmetric_metric[zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[adjusted_balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[explained_variance_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[hinge_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[log_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[macro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[macro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[macro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[macro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[mean_compound_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[mean_gamma_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[mean_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[normalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[precision_recall_curve] FAILED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[r2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[roc_curve] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[unnormalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[unnormalized_multilabel_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[weighted_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[weighted_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[weighted_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[weighted_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_not_symmetric_metric[weighted_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[adjusted_balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[cohen_kappa_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[explained_variance_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[hamming_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[hinge_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[log_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[macro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[matthews_corrcoef_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[max_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_absolute_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_compound_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_gamma_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_normal_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[mean_squared_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[median_absolute_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[micro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[normalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[ovo_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[ovr_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[r2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[unnormalized_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[unnormalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[unnormalized_log_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[unnormalized_multilabel_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[unnormalized_zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_ovo_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_ovr_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[weighted_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance[zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_sample_order_invariance_multilabel_and_multioutput PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[adjusted_balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[cohen_kappa_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[explained_variance_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[hamming_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[hinge_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[log_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[macro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[matthews_corrcoef_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[max_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_absolute_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_compound_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_gamma_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_normal_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_poisson_deviance] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[mean_squared_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[median_absolute_error] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[micro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[normalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[ovo_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[ovr_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[r2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[unnormalized_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[unnormalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[unnormalized_log_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[unnormalized_multilabel_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[unnormalized_zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_ovo_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_ovr_roc_auc] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[weighted_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_format_invariance_with_1d_vectors[zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[adjusted_balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[balanced_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[cohen_kappa_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[hamming_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[macro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[matthews_corrcoef_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[micro_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[normalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[unnormalized_accuracy_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[unnormalized_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[unnormalized_multilabel_confusion_matrix] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[unnormalized_zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_f0.5_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_f1_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_f2_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_jaccard_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_precision_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[weighted_recall_score] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_classification_invariance_string_vs_numbers_labels[zero_one_loss] PASSED [ 29%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[coverage_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[label_ranking_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[log_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[unnormalized_log_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[hinge_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[brier_score_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[roc_auc_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[weighted_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[samples_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[micro_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[ovr_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[weighted_ovr_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[ovo_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[weighted_ovo_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[partial_roc_auc] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[weighted_average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[samples_average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[micro_average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[label_ranking_average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[ndcg_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_thresholded_invariance_string_vs_numbers_labels[dcg_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[coverage_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[label_ranking_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[log_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric3] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[hinge_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[brier_score_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[roc_auc_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric7] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric8] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric9] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric10] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric11] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric12] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric13] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric14] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric16] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric17] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric18] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[label_ranking_average_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[ndcg_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[dcg_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[max_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[mean_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[mean_squared_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[median_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[explained_variance_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric27] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric28] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[mean_poisson_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[mean_gamma_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_regression_thresholded_inf_nan_input[metric31] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[balanced_accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric2] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric3] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[confusion_matrix] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[<lambda>] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[multilabel_confusion_matrix] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric7] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[hamming_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[zero_one_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric10] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric15] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric16] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[matthews_corrcoef] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric18] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric19] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric20] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric21] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric22] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric23] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric24] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric25] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric26] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric27] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric28] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric29] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric30] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric31] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric32] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric33] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric34] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric35] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric36] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric37] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric38] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric39] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric40] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[metric41] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_classification_inf_nan_input[cohen_kappa_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[adjusted_balanced_accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[balanced_accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[cohen_kappa_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[explained_variance_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[hamming_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_f2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[macro_recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[matthews_corrcoef_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[max_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_compound_poisson_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_gamma_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_normal_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_poisson_deviance] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[mean_squared_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[median_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_f2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[micro_recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[normalized_confusion_matrix] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[r2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[unnormalized_accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[unnormalized_confusion_matrix] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[unnormalized_multilabel_confusion_matrix] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[unnormalized_zero_one_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_f2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[weighted_recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample[zero_one_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[accuracy_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[explained_variance_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[hamming_loss] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_f2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[macro_recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[mean_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[mean_squared_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[median_absolute_error] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_f1_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_f2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_jaccard_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_precision_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[micro_recall_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[r2_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_f0.5_score] PASSED [ 30%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[samples_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[unnormalized_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[unnormalized_multilabel_confusion_matrix] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[unnormalized_zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[weighted_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_single_sample_multioutput[zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_number_of_output_differ[explained_variance_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_number_of_output_differ[mean_absolute_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_number_of_output_differ[mean_squared_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_number_of_output_differ[median_absolute_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_number_of_output_differ[r2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_regression_invariance_to_dimension_shuffling[explained_variance_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_regression_invariance_to_dimension_shuffling[mean_absolute_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_regression_invariance_to_dimension_shuffling[mean_squared_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_regression_invariance_to_dimension_shuffling[median_absolute_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multioutput_regression_invariance_to_dimension_shuffling[r2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multilabel_representation_invariance PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[hamming_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[macro_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[micro_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[samples_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[unnormalized_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[unnormalized_multilabel_confusion_matrix] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[unnormalized_zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[weighted_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_raise_value_error_multilabel_sequences[zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_normalize_option_multiclass_classification[accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_normalize_option_multiclass_classification[zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_normalize_option_multilabel_classification PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multiclass[recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[average_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[partial_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel[roc_auc_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_binary_multilabel_all_zeroes PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_ones[recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[explained_variance_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_absolute_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_compound_poisson_deviance] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_gamma_deviance] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_normal_deviance] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_poisson_deviance] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[mean_squared_error] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_regression_sample_weight_invariance[r2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[adjusted_balanced_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[average_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[balanced_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[brier_score_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[cohen_kappa_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[hamming_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[hinge_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[log_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[macro_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[matthews_corrcoef_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_average_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[micro_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[normalized_confusion_matrix] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[ovr_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[partial_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[precision_recall_curve] FAILED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[roc_auc_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[roc_curve] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[samples_average_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[samples_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[unnormalized_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[unnormalized_confusion_matrix] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[unnormalized_log_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[unnormalized_multilabel_confusion_matrix] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[unnormalized_zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_average_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_f0.5_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_f1_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_f2_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_jaccard_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_ovr_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_precision_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_recall_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[weighted_roc_auc] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_binary_sample_weight_invariance[zero_one_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[adjusted_balanced_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[balanced_accuracy_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[cohen_kappa_score] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[hamming_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[hinge_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[log_loss] PASSED [ 31%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[macro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[matthews_corrcoef_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[micro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[normalized_confusion_matrix] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[ovr_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[unnormalized_accuracy_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[unnormalized_confusion_matrix] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[unnormalized_log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[unnormalized_multilabel_confusion_matrix] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[unnormalized_zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_ovr_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[weighted_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multiclass_sample_weight_invariance[zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[accuracy_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[coverage_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[dcg_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[explained_variance_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[hamming_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[label_ranking_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[label_ranking_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[macro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[mean_absolute_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[mean_squared_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[micro_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[ndcg_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[partial_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[r2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[roc_auc_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[unnormalized_accuracy_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[unnormalized_log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[unnormalized_multilabel_confusion_matrix] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[unnormalized_zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[weighted_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_no_averaging_labels PASSED    [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[accuracy_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[hamming_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[macro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[micro_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[samples_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[unnormalized_accuracy_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[unnormalized_zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_f0.5_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_f1_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_f2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_jaccard_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[weighted_recall_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_multilabel_label_permutations_invariance[zero_one_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[coverage_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[dcg_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[explained_variance_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[label_ranking_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[label_ranking_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[mean_absolute_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[mean_squared_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[median_absolute_error] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[micro_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[micro_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[ndcg_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[partial_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[r2_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[roc_auc_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[samples_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[samples_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[unnormalized_log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[weighted_average_precision_score] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_multilabel_multioutput_permutations_invariance[weighted_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[hinge_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[ovo_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[ovr_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[unnormalized_log_loss] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[weighted_ovo_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_common.py::test_thresholded_metric_permutation_invariance[weighted_ovr_roc_auc] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances PASSED   [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[dice] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[jaccard] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[kulsinski] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[matching] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[rogerstanimoto] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[russellrao] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[sokalmichener] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[sokalsneath] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_boolean_distance[yule] FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_no_data_conversion_warning FAILED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_precomputed[pairwise_distances] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_precomputed[pairwise_kernels] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_precomputed_non_negative PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-array-pairwise_distances-euclidean-kwds0] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-array-pairwise_distances-wminkowski-kwds1] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-array-pairwise_distances-wminkowski-kwds2] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-array-pairwise_kernels-polynomial-kwds3] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-array-pairwise_kernels-callable_rbf_kernel-kwds4] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-csr_matrix-pairwise_distances-euclidean-kwds0] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-csr_matrix-pairwise_distances-wminkowski-kwds1] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-csr_matrix-pairwise_distances-wminkowski-kwds2] PASSED [ 32%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-csr_matrix-pairwise_kernels-polynomial-kwds3] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[float64-csr_matrix-pairwise_kernels-callable_rbf_kernel-kwds4] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-array-pairwise_distances-euclidean-kwds0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-array-pairwise_distances-wminkowski-kwds1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-array-pairwise_distances-wminkowski-kwds2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-array-pairwise_kernels-polynomial-kwds3] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-array-pairwise_kernels-callable_rbf_kernel-kwds4] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-csr_matrix-pairwise_distances-euclidean-kwds0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-csr_matrix-pairwise_distances-wminkowski-kwds1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-csr_matrix-pairwise_distances-wminkowski-kwds2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-csr_matrix-pairwise_kernels-polynomial-kwds3] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel[int-csr_matrix-pairwise_kernels-callable_rbf_kernel-kwds4] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_callable_nonstrict_metric PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[rbf] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[laplacian] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[sigmoid] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[polynomial] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[linear] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[chi2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels[additive_chi2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels_callable PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels_filter_param PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[cosine-paired_cosine_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[euclidean-paired_euclidean_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[l2-paired_euclidean_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[l1-paired_manhattan_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[manhattan-paired_manhattan_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances[cityblock-paired_manhattan_distances] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_distances_callable PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_argmin_min PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>3] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>4] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-ValueError-length 11\\..* input: 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-ValueError-length \\(10, 11\\)\\..* input: 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-ValueError-length \\(9, 10\\)\\..* input: 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-TypeError-returned 7\\. Expected sequence\\(s\\) of length 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-TypeError-returned \\(7, 8\\)\\. Expected sequence\\(s\\) of length 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[<lambda>-TypeError-, 9\\)\\. Expected sequence\\(s\\) of length 10\\.] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[euclidean] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[l2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[sqeuclidean] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[euclidean] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[l2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[sqeuclidean] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[dense-dense] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[dense-sparse] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[sparse-dense] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[sparse-sparse] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[dense-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[dense-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[sparse-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[sparse-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[dense-dense-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[dense-dense-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[dense-sparse-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[dense-sparse-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[sparse-dense-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[sparse-dense-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[sparse-sparse-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[sparse-sparse-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[dense-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[dense-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[sparse-float32] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[sparse-float64] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-sparse-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-sparse-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-sparse-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-sparse-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-dense-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-dense-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-dense-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-dense-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-sparse-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-sparse-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-sparse-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[sparse-sparse-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[sparse-None] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[sparse-5] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[sparse-7] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[sparse-101] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float32-0.0001-1e-05] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float64-1e-08-0.99] XFAIL [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float32-0.0001-1e-05] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float64-1e-08-0.99] XFAIL [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[True] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[False] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X0] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X0-1.4142135623730951-nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X1-1.4142135623730951-nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X2-nan-nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X3-1.4142135623730951-nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X4-1.4142135623730951-nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X5-1.4142135623730951--1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X6-1.4142135623730951--1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X7-nan--1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X8-1.4142135623730951--1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X9-1.4142135623730951--1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_complete_nan[nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_complete_nan[-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_not_trival[nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_not_trival[-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_one_feature_match_positive[nan] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_one_feature_match_positive[-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_cosine_distances PASSED     [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_haversine_distances PASSED  [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_euclidean_distances PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_paired_manhattan_distances PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_chi_square_kernel PASSED    [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[linear_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[polynomial_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[rbf_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[laplacian_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[sigmoid_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[cosine_similarity] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[linear_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[polynomial_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[rbf_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[laplacian_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[sigmoid_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[cosine_similarity] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_linear_kernel PASSED        [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_rbf_kernel PASSED           [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_laplacian_kernel PASSED     [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[linear-linear_kernel] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[cosine-cosine_similarity] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_cosine_similarity PASSED    [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_dense_matrices PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_XB_returned PASSED    [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_different_dimensions PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_invalid_dimensions PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_sparse_arrays PASSED  [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_tuple_input PASSED    [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_check_preserve_type PASSED  [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances-seuclidean-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances-seuclidean-2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances-mahalanobis-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances-mahalanobis-2] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances_chunked-seuclidean-1] PASSED [ 33%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances_chunked-seuclidean-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances_chunked-mahalanobis-1] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is X-pairwise_distances_chunked-mahalanobis-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances-seuclidean-1] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances-seuclidean-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances-mahalanobis-1] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances-mahalanobis-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances_chunked-seuclidean-1] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances_chunked-seuclidean-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances_chunked-mahalanobis-1] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[Y is not X-pairwise_distances_chunked-mahalanobis-2] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-braycurtis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-canberra] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-chebyshev] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-correlation] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-hamming] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-mahalanobis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-minkowski] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-seuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-sqeuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-cityblock] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-cosine] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float32-euclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-braycurtis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-canberra] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-chebyshev] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-correlation] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-hamming] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-mahalanobis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-minkowski] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-seuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-sqeuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-cityblock] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-cosine] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is X-float64-euclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-braycurtis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-canberra] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-chebyshev] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-correlation] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-hamming] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-mahalanobis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-minkowski] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-seuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-sqeuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-cityblock] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-cosine] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float32-euclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-braycurtis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-canberra] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-chebyshev] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-correlation] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-hamming] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-mahalanobis] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-minkowski] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-seuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-sqeuclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-cityblock] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-cosine] PASSED [ 34%]
> sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[Y is not X-float64-euclidean] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve[True] PASSED       [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve[False] PASSED      [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_end_points PASSED  [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_returns_consistency PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_multi PASSED       [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_confidence PASSED  [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_hard PASSED        [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_one_label PASSED   [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_toydata PASSED     [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_drop_intermediate PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_curve_fpr_tpr_increasing PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_auc PASSED                   [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_auc_errors PASSED            [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata[y_true0-labels0] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata[y_true1-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata[y_true2-labels2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata[y_true3-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata_binary[y_true0-labels0] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovo_roc_auc_toydata_binary[y_true1-labels1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovr_roc_auc_toydata[y_true0-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovr_roc_auc_toydata[y_true1-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovr_roc_auc_toydata[y_true2-labels2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_multiclass_ovr_roc_auc_toydata[y_true3-labels3] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Parameter 'labels' must be unique-y_true0-labels0] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Parameter 'labels' must be unique-y_true1-labels1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Number of classes in y_true not equal to the number of columns in 'y_score'-y_true2-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Parameter 'labels' must be ordered-y_true3-labels3] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Number of given labels, 2, not equal to the number of columns in 'y_score', 3-y_true4-labels4] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Number of given labels, 2, not equal to the number of columns in 'y_score', 3-y_true5-labels5] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Number of given labels, 4, not equal to the number of columns in 'y_score', 3-y_true6-labels6] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-Number of given labels, 4, not equal to the number of columns in 'y_score', 3-y_true7-labels7] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-'y_true' contains labels not in parameter 'labels'-y_true8-labels8] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-'y_true' contains labels not in parameter 'labels'-y_true9-labels9] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovo-'y_true' contains labels not in parameter 'labels'-y_true10-labels10] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Parameter 'labels' must be unique-y_true0-labels0] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Parameter 'labels' must be unique-y_true1-labels1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Number of classes in y_true not equal to the number of columns in 'y_score'-y_true2-None] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Parameter 'labels' must be ordered-y_true3-labels3] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Number of given labels, 2, not equal to the number of columns in 'y_score', 3-y_true4-labels4] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Number of given labels, 2, not equal to the number of columns in 'y_score', 3-y_true5-labels5] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Number of given labels, 4, not equal to the number of columns in 'y_score', 3-y_true6-labels6] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-Number of given labels, 4, not equal to the number of columns in 'y_score', 3-y_true7-labels7] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-'y_true' contains labels not in parameter 'labels'-y_true8-labels8] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-'y_true' contains labels not in parameter 'labels'-y_true9-labels9] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_labels_error[ovr-'y_true' contains labels not in parameter 'labels'-y_true10-labels10] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[average must be one of \\('macro', 'weighted'\\) for multiclass problems-kwargs0] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[average must be one of \\('macro', 'weighted'\\) for multiclass problems-kwargs1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[sample_weight is not supported for multiclass one-vs-one ROC AUC, 'sample_weight' must be None in this case-kwargs2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[Partial AUC computation not available in multiclass setting, 'max_fpr' must be set to `None`, received `max_fpr=0.5` instead-kwargs3] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[multi_class='ovp' is not supported for multiclass ROC AUC, multi_class must be in \\('ovo', 'ovr'\\)-kwargs4] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_roc_auc_score_multiclass_error[multi_class must be in \\('ovo', 'ovr'\\)-kwargs5] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_auc_score_non_binary_class PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_binary_clf_curve_multiclass_error PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_binary_clf_curve_implicit_pos_label[precision_recall_curve] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_binary_clf_curve_implicit_pos_label[roc_curve] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_errors PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_toydata PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_average_precision_constant_values PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_average_precision_score_pos_label_errors PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_score_scale_invariance PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[label_ranking_average_precision_score-check_lrap_toy] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[label_ranking_average_precision_score-check_lrap_without_tie_and_increasing_score] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[label_ranking_average_precision_score-check_lrap_only_ties] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[label_ranking_average_precision_score-check_zero_or_all_relevant_labels] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[_my_lrap-check_lrap_toy] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[_my_lrap-check_lrap_without_tie_and_increasing_score] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[_my_lrap-check_lrap_only_ties] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_avp[_my_lrap-check_zero_or_all_relevant_labels] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_lrap_error_raised PASSED     [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-2-1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-2-2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-2-8] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-2-20] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-5-1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-5-2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-5-8] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-5-20] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-10-1] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-10-2] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-10-8] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_alternative_lrap_implementation[0-10-20] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_lrap_sample_weighting_zero_labels PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_coverage_error PASSED        [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_coverage_tie_handling PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_label_ranking_loss PASSED    [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ranking_appropriate_input_shape PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ranking_loss_ties_handling PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_dcg_score PASSED             [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_dcg_ties PASSED              [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ndcg_ignore_ties_with_k PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ndcg_invariant PASSED        [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ndcg_toy_examples[True] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ndcg_toy_examples[False] PASSED [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_ndcg_score PASSED            [ 34%]
> sklearn/metrics/tests/test_ranking.py::test_partial_roc_auc_score PASSED [ 34%]
> sklearn/metrics/tests/test_regression.py::test_regression_metrics PASSED [ 34%]
> sklearn/metrics/tests/test_regression.py::test_mean_squared_error_multioutput_raw_value_squared PASSED [ 34%]
> sklearn/metrics/tests/test_regression.py::test_multioutput_regression PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test__check_reg_targets PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test__check_reg_targets_exception PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test_regression_custom_weights PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test_regression_single_sample[r2_score] PASSED [ 35%]
> sklearn/metrics/tests/test_regression.py::test_tweedie_deviance_continuity PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_all_scorers_repr PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_check_scoring_and_check_multimetric_scoring PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_check_scoring_gridsearchcv PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_make_scorer PASSED     [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_classification_scores PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_regression_scorers PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_thresholded_scorers PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_thresholded_scorers_multilabel_indicator_data PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_supervised_cluster_scorers PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_raises_on_score_list PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_sample_weight PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[explained_variance] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[r2] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[max_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_median_absolute_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_absolute_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_squared_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_squared_log_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_root_mean_squared_error] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_poisson_deviance] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_gamma_deviance] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[accuracy] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovr] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovo] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovr_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovo_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[balanced_accuracy] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[average_precision] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_log_loss] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_brier_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[adjusted_rand_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[homogeneity_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[completeness_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[v_measure_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[mutual_info_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[adjusted_mutual_info_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[normalized_mutual_info_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[fowlkes_mallows_score] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_macro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_micro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_samples] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_macro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_micro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_samples] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[f1] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[f1_macro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[f1_micro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[f1_samples] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[f1_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard_macro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard_micro] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard_samples] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_scoring_is_not_metric PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_deprecated_scorer PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers0-1-1-1] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers1-1-0-1] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers2-1-1-0] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once_classifier_no_decision PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once_regressor_threshold PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_sanity_check PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovr-metric0] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovo-metric1] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovr_weighted-metric2] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovo_weighted-metric3] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer_label PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovr] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovo] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovr_weighted] PASSED [ 35%]
> sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovo_weighted] PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_log_dirichlet_norm PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_log_wishart_norm PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_covariance_type PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_weight_concentration_prior_type PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_weights_prior_initialisation PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_mean_prior_initialisation PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_precisions_prior_initialisation PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_check_is_fitted PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_weights PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_monotonic_likelihood PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_compare_covar_type PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_check_covariance_precision PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_invariant_translation PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_fit_predict[0-2-1e-07] PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_fit_predict[1-2-0.1] PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_fit_predict[3-300-1e-07] PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_fit_predict[4-300-0.1] PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_fit_predict_n_init PASSED [ 35%]
> sklearn/mixture/tests/test_bayesian_mixture.py::test_bayesian_mixture_predict_predict_proba PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_attributes PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_check_X PASSED      [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_check_weights PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_check_means PASSED  [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_check_precisions PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_suffstat_sk_full PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_suffstat_sk_tied PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_suffstat_sk_diag PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_suffstat_sk_spherical PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_compute_log_det_cholesky PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_log_probabilities PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_estimate_log_prob_resp PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_predict_predict_proba PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_predict[0-2-1e-07] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_predict[1-2-0.1] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_predict[3-300-1e-07] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_predict[4-300-0.1] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_predict_n_init PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_best_params PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_fit_convergence_warning PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_multiple_init PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_n_parameters PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_bic_1d_1component PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_aic_bic PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_verbose PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_warm_start[0] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_warm_start[1] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_warm_start[2] PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_convergence_detected_with_warm_start PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_score PASSED        [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_score_samples PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_monotonic_likelihood PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation PASSED [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_property PASSED     [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_sample PASSED       [ 35%]
> sklearn/mixture/tests/test_gaussian_mixture.py::test_init PASSED         [ 35%]
> sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0] PASSED [ 35%]
> sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[0-TypeError-Parameter .* is not a dict or a list \\(0\\)-ParameterGrid] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[0-TypeError-Parameter .* is not a dict or a list \\(0\\)-klass1] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[input1-TypeError-Parameter .* is not a dict \\(0\\)-ParameterGrid] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[input1-TypeError-Parameter .* is not a dict \\(0\\)-klass1] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[input2-TypeError-Parameter.* value is not iterable .*\\(key='foo', value=0\\)-ParameterGrid] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_validate_parameter_input[input2-TypeError-Parameter.* value is not iterable .*\\(key='foo', value=0\\)-klass1] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_parameter_grid PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_grid_search PASSED    [ 35%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_pipeline_steps PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[GridSearchCV] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_no_score PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_score_method PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_groups PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_classes__property PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_trivial_cv_results_attr PASSED [ 35%]
> sklearn/model_selection/tests/test_search.py::test_no_refit PASSED       [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_error PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_one_grid_point PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_when_param_grid_includes_range PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_bad_param_grid PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_sparse PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_sparse_scoring PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_precomputed_kernel PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_precomputed_kernel_error_nonsquare PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit PASSED          [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_invalid_type PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_out_bound[RandomizedSearchCV--1] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_out_bound[RandomizedSearchCV-2] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_out_bound[GridSearchCV--1] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_out_bound[GridSearchCV-2] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_refit_callable_multi_metric PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_gridsearch_nd PASSED  [ 36%]
> sklearn/model_selection/tests/test_search.py::test_X_as_list PASSED      [ 36%]
> sklearn/model_selection/tests/test_search.py::test_y_as_list PASSED      [ 36%]
> sklearn/model_selection/tests/test_search.py::test_pandas_input PASSED   [ 36%]
> sklearn/model_selection/tests/test_search.py::test_unsupervised_grid_search PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_gridsearch_no_predict PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_param_sampler PASSED  [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_cv_results PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_random_search_cv_results PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_default_iid[GridSearchCV-specialized_params0] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_default_iid[RandomizedSearchCV-specialized_params1] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_iid_param PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_cv_results_multimetric PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_cv_results_rank_tie_breaking PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_cv_timing PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_correct_score_results PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_fit_grid_point PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_fit_grid_point_deprecated PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_pickle PASSED         [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_with_multioutput_data PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_predict_proba_disabled PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_allows_nans PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_failing_classifier PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_failing_classifier_raise PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_parameters_sampler_replacement PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_stochastic_gradient_loss_param PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_train_scores_set_to_false PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_grid_search_cv_splits_consistency PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_transform_inverse_transform_round_trip PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_custom_run_search PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test__custom_fit_no_run_search PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_deprecated_grid_search_iid[False] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_deprecated_grid_search_iid[True] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_n_features_in PASSED  [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_cv__pairwise_property_delegated_to_base_estimator PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_search_cv__pairwise_property_equivalence_of_precomputed PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_scalar_fit_param[GridSearchCV-param_search0] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_scalar_fit_param[RandomizedSearchCV-param_search1] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_scalar_fit_param_compat[GridSearchCV-param_search0] PASSED [ 36%]
> sklearn/model_selection/tests/test_search.py::test_scalar_fit_param_compat[RandomizedSearchCV-param_search1] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_cross_validator_with_default_params PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_2d_y PASSED            [ 36%]
> sklearn/model_selection/tests/test_split.py::test_kfold_valueerrors PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_kfold_indices PASSED   [ 36%]
> sklearn/model_selection/tests/test_split.py::test_kfold_no_shuffle PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_no_shuffle PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[4-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[4-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[5-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[5-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[6-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[6-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[7-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[7-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[8-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[8-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[9-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[9-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[10-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_ratios[10-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[4-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[6-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-False] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_kfold_label_invariance[7-True] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_kfold_balance PASSED   [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratifiedkfold_balance PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_kfold PASSED   [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_kfold_stratifiedkfold_reproducibility PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_stratifiedkfold PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_kfold_can_detect_dependent_samples_on_digits PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split PASSED   [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[None-9-1-ShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[None-9-1-StratifiedShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[8-8-2-ShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[8-8-2-StratifiedShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[0.8-8-2-ShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_default_test_size[0.8-8-2-StratifiedShuffleSplit] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[None-8-2] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[7-7-3] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_group_shuffle_split_default_test_size[0.7-7-3] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_init PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_respects_test_size PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_iter PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_even PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_overlap_train_test_bug PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_multilabel PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratified_shuffle_split_multilabel_many_labels PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_predefinedsplit_with_kfold_split PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_group_shuffle_split PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_leave_one_p_group_out PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_leave_group_out_changing_groups PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_leave_one_p_group_out_error_on_fewer_number_of_groups PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_repeated_cv_value_errors PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_repeated_cv_repr[RepeatedKFold] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_repeated_cv_repr[RepeatedStratifiedKFold] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_repeated_kfold_determinstic_split PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_get_n_splits_for_repeated_kfold PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_get_n_splits_for_repeated_stratified_kfold PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_repeated_stratified_kfold_determinstic_split PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_errors PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[1.2-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[1.0-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.0-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[-0.2-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-1.2] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-1.0] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8-0.0] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes1[0.8--0.2] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[-10-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[11-0.8] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8--10] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8-0] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_invalid_sizes2[0.8-11] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[None-7-3] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[8-8-2] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_default_test_size[0.8-8-2] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_pandas PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_sparse PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_mock_pandas PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_list_input PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[2.0-None] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[1.0-None] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[0.1-0.95] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[None-train_size3] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[11-None] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[10-None] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_errors[8-3] PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_shufflesplit_reproducible PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_stratifiedshufflesplit_list_input PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_allow_nans PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_check_cv PASSED        [ 36%]
> sklearn/model_selection/tests/test_split.py::test_cv_iterable_wrapper PASSED [ 36%]
> sklearn/model_selection/tests/test_split.py::test_group_kfold PASSED     [ 37%]
> sklearn/model_selection/tests/test_split.py::test_time_series_cv PASSED  [ 37%]
> sklearn/model_selection/tests/test_split.py::test_time_series_max_train_size PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_nested_cv PASSED       [ 37%]
> sklearn/model_selection/tests/test_split.py::test_build_repr PASSED      [ 37%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[ShuffleSplit] PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[GroupShuffleSplit] PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_shuffle_split_empty_trainset[StratifiedShuffleSplit] PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_train_test_split_empty_trainset PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_leave_one_out_empty_trainset PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_leave_p_out_empty_trainset PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_random_state_shuffle_false[KFold] PASSED [ 37%]
> sklearn/model_selection/tests/test_split.py::test_random_state_shuffle_false[StratifiedKFold] PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_validate_many_jobs PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_validate_invalid_scoring_param PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_validate PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_predict_groups PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_pandas PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_mask PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_precomputed PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_fit_params PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_score_func PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_errors PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_with_score_func_classification PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_with_score_func_regression PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_permutation_score PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_permutation_test_score_allow_nans PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_allow_nans PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_multilabel PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_predict_proba_shape PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_predict_log_proba_shape PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_input_types PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_pandas PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_y_none PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_score_sparse_fit_params PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve FAILED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_unsupervised PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_verbose PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_incremental_learning_not_possible PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_incremental_learning PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_incremental_learning_unsupervised PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_batch_and_incremental_learning_are_equal PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_n_sample_range_out_of_bounds PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_remove_duplicate_sample_sizes PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_with_boolean_indices PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_learning_curve_with_shuffle PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_validation_curve FAILED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_validation_curve_clone_estimator PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_validation_curve_cv_splits_consistency PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_check_is_permutation PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_sparse_prediction PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_with_method PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_method_checking PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_gridsearchcv_cross_val_predict_with_method PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_with_method_multilabel_ovr PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_with_method_multilabel_rf PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_with_method_rare_class PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_with_method_multilabel_rf_rare_class PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_score_memmap PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_permutation_test_score_pandas PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_fit_and_score_failing PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_fit_and_score_working PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_fit_and_score_verbosity[False-three_params_scorer-[CV] .................................... , score=3.421, total=   0.0s] PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_fit_and_score_verbosity[True-three_params_scorer-[CV] ................ , score=(train=3.421, test=3.421), total=   0.0s] PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_fit_and_score_verbosity[True-scorer2-[CV]  , sc1=(train=3.421, test=3.421), sc2=(train=3.421, test=3.421), total=   0.0s] PASSED [ 37%]
> sklearn/model_selection/tests/test_validation.py::test_score PASSED      [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[matching] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[jaccard] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[dice] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[kulsinski] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[rogerstanimoto] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[russellrao] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[sokalmichener] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[sokalsneath] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[hamming] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[canberra] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics[braycurtis] PASSED [ 37%]
> sklearn/neighbors/tests/test_ball_tree.py::test_query_haversine PASSED   [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[euclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[cityblock] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[minkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[chebyshev] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[seuclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[wminkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[mahalanobis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[hamming] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[canberra] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist[braycurtis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[matching] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[jaccard] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[dice] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[kulsinski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[rogerstanimoto] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[russellrao] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[sokalmichener] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_cdist_bool_metric[sokalsneath] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[euclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[cityblock] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[minkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[chebyshev] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[seuclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[wminkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[mahalanobis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[hamming] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[canberra] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist[braycurtis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[matching] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[jaccard] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[dice] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[kulsinski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[rogerstanimoto] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[russellrao] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[sokalmichener] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pdist_bool_metrics[sokalsneath] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[euclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[cityblock] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[minkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[chebyshev] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[seuclidean] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[wminkowski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[mahalanobis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[hamming] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[canberra] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle[braycurtis] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[matching] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[jaccard] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[dice] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[kulsinski] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[rogerstanimoto] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[russellrao] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[sokalmichener] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pickle_bool_metrics[sokalsneath] PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_haversine_metric PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_pyfunc_metric PASSED  [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_bad_pyfunc_metric PASSED [ 37%]
> sklearn/neighbors/tests/test_dist_metrics.py::test_input_data_size PASSED [ 37%]
> sklearn/neighbors/tests/test_graph.py::test_transformer_result PASSED    [ 37%]
> sklearn/neighbors/tests/test_graph.py::test_explicit_diagonal PASSED     [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-gaussian] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-tophat] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-epanechnikov] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-exponential] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-linear] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.01-cosine] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-gaussian] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-tophat] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-epanechnikov] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-exponential] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-linear] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[0.1-cosine] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-gaussian] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-tophat] PASSED [ 37%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-epanechnikov] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-exponential] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-linear] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density[1-cosine] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kernel_density_sampling PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[euclidean-auto] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[euclidean-ball_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[euclidean-kd_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[minkowski-auto] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[minkowski-ball_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[minkowski-kd_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[manhattan-auto] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[manhattan-ball_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[manhattan-kd_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[chebyshev-auto] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[chebyshev-ball_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[chebyshev-kd_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[haversine-auto] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[haversine-ball_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_algorithm_metric_choice[haversine-kd_tree] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_score PASSED               [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_badargs PASSED             [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_pipeline_gridsearch PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_kde_sample_weights PASSED      [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_sample_weight_invalid PASSED   [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_pickling[None] PASSED          [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_pickling[sample_weight1] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_check_is_fitted[score_samples] PASSED [ 38%]
> sklearn/neighbors/tests/test_kde.py::test_check_is_fitted[sample] PASSED [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_lof PASSED                     [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_lof_performance PASSED         [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_lof_values PASSED              [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_lof_precomputed PASSED         [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_n_neighbors_attribute PASSED   [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_score_samples PASSED           [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_contamination PASSED           [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_novelty_errors PASSED          [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_novelty_training_scores PASSED [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction PASSED      [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests PASSED [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_predicted_outlier_number[30] PASSED [ 38%]
> sklearn/neighbors/tests/test_lof.py::test_predicted_outlier_number[53] PASSED [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_simple_example PASSED          [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_toy_example_collapse_points PASSED [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_finite_differences PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_params_validation PASSED       [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_transformation_dimensions PASSED [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_n_components PASSED            [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_init_transformation PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-3-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-3-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-3-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-3-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-5-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-5-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-5-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-5-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-7-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-7-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-7-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-7-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-11-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-11-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-11-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-5-11-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-3-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-3-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-3-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-3-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-5-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-5-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-5-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-5-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-7-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-7-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-7-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-7-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-11-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-11-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-11-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-7-11-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-3-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-3-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-3-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-3-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-5-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-5-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-5-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-5-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-7-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-7-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-7-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-7-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-11-3] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-11-5] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-11-7] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[3-11-11-11] PASSED   [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-3-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-3-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-3-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-3-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-5-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-5-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-5-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-5-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-7-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-7-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-7-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-7-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-11-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-11-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-11-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-5-11-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-3-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-3-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-3-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-3-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-5-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-5-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-5-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-5-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-7-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-7-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-7-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-7-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-11-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-11-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-11-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-7-11-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-3-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-3-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-3-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-3-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-5-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-5-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-5-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-5-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-7-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-7-5] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-7-7] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-7-11] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-11-3] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-11-5] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-11-7] PASSED    [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[5-11-11-11] PASSED   [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-3-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-3-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-3-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-3-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-5-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-5-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-5-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-5-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-7-3] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-7-5] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-7-7] PASSED      [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-7-11] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-11-3] PASSED     [ 38%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-11-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-11-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-5-11-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-3-3] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-3-5] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-3-7] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-3-11] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-5-3] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-5-5] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-5-7] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-5-11] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-7-3] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-7-5] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-7-7] PASSED      [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-7-11] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-11-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-11-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-11-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-7-11-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-3-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-3-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-3-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-3-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-5-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-5-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-5-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-5-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-7-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-7-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-7-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-7-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-11-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-11-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-11-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[7-11-11-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-3-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-3-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-3-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-3-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-5-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-5-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-5-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-5-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-7-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-7-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-7-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-7-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-11-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-11-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-11-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-5-11-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-3-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-3-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-3-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-3-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-5-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-5-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-5-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-5-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-7-3] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-7-5] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-7-7] PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-7-11] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-11-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-11-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-11-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-7-11-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-3-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-3-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-3-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-3-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-5-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-5-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-5-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-5-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-7-3] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-7-5] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-7-7] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-7-11] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-11-3] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-11-5] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-11-7] PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_auto_init[11-11-11-11] PASSED  [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_warm_start_validation PASSED   [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_warm_start_effectiveness PASSED [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_verbose[pca] PASSED            [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_verbose[lda] PASSED            [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_verbose[identity] PASSED       [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_verbose[random] PASSED         [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_verbose[precomputed] PASSED    [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_no_verbose PASSED              [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_singleton_class PASSED         [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_one_class PASSED               [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_callback PASSED                [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_expected_transformation_shape PASSED [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_convergence_warning PASSED     [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_parameters_valid_types[n_components-value0] PASSED [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_parameters_valid_types[max_iter-value1] PASSED [ 39%]
> sklearn/neighbors/tests/test_nca.py::test_parameters_valid_types[tol-value2] PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_classification_toy PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_precomputed PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_iris PASSED       [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_iris_shrinkage PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_pickle PASSED     [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_shrinkage_correct PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_shrinkage_threshold_decoded_y PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_predict_translated_data PASSED [ 39%]
> sklearn/neighbors/tests/test_nearest_centroid.py::test_manhattan_metric PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_unsupervised_kneighbors PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_unsupervised_inputs PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_n_neighbors_datatype PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_not_fitted_error_gets_raised PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_dense PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_sparse_knn[csr] PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_sparse_knn[lil] PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_sparse_radius[csr] PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_sparse_radius[lil] PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_is_sorted_by_data PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_check_precomputed PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_sparse_invalid PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_precomputed_cross_validation PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_unsupervised_radius_neighbors PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_classifier PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_classifier_float_labels PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_classifier_predict_proba PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_when_no_neighbors PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_zero_distance PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_neighbors_regressors_zero_distance PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_boundary_handling PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_returns_array_of_objects PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_RadiusNeighborsClassifier_multioutput PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_classifier_sparse PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_KNeighborsClassifier_multioutput PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_regressor PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_KNeighborsRegressor_multioutput_uniform_weight PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_regressor_multioutput PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_regressor PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_RadiusNeighborsRegressor_multioutput_with_uniform_weight PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_RadiusNeighborsRegressor_multioutput PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_regressor_sparse PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_neighbors_iris PASSED    [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_neighbors_digits PASSED  [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_graph PASSED  [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_kneighbors_graph_sparse PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_graph PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_graph_sparse PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_neighbors_badargs PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_neighbors_metrics PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_callable_metric PASSED   [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_metric_params_interface PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_predict_sparse_ball_kd_tree PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_non_euclidean_kneighbors PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_k_and_radius_neighbors_train_is_not_query PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_k_and_radius_neighbors_X_None PASSED [ 39%]
> sklearn/neighbors/tests/test_neighbors.py::test_k_and_radius_neighbors_duplicates PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_include_self_neighbors_graph PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_knn_parallel[ball_tree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_knn_parallel[brute] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_knn_parallel[kd_tree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_knn_parallel[auto] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_radius_neighbors_parallel[ball_tree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_radius_neighbors_parallel[brute] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_radius_neighbors_parallel[kd_tree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_same_radius_neighbors_parallel[auto] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-multiprocessing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-threading] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-sequential] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-loky] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-testing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[brute-multiprocessing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[brute-threading] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[brute-sequential] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[brute-loky] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[brute-testing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-multiprocessing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-threading] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-sequential] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-loky] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-testing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-multiprocessing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-threading] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-sequential] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-loky] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-testing] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_dtype_convert PASSED     [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_sparse_metric_callable PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_pairwise_boolean_distance PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors.py::test_pipeline_with_nearest_neighbors_transformer PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_dbscan PASSED   [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_isomap PASSED   [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_tsne PASSED     [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_lof_novelty_false PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_lof_novelty_true PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_pipeline.py::test_kneighbors_regressor PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.01-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-0.1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-0-1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.01-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-0.1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-1e-06-1e-05-1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.01-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-0.1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-exponential-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-exponential-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-linear-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-linear-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-cosine-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-0-1-cosine-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-gaussian-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-gaussian-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-tophat-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-tophat-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-epanechnikov-KDTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-epanechnikov-BallTree] PASSED [ 40%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.01-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-0.1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[True-0.01-1e-05-1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.01-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-0.1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-0-1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.01-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-0.1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-1e-06-1e-05-1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.01-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-0.1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-0-1-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-linear-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-linear-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-cosine-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.01-cosine-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-gaussian-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-gaussian-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-tophat-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-tophat-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-epanechnikov-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-epanechnikov-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-exponential-KDTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-exponential-BallTree] PASSED [ 41%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-linear-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-linear-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-cosine-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-0.1-cosine-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-gaussian-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-gaussian-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-tophat-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-tophat-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-epanechnikov-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-epanechnikov-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-exponential-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-exponential-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-linear-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-linear-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-cosine-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_kernel_density[False-0.01-1e-05-1-cosine-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_query_radius[KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_query_radius[BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_query_radius_distance[KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_query_radius_distance[BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_two_point[True-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_two_point[True-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_two_point[False-KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbor_tree_two_point[False-BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbors_heap[NeighborsHeap0] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_neighbors_heap[NeighborsHeap1] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_node_heap[nodeheap_sort0] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_node_heap[nodeheap_sort1] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_simultaneous_sort[simultaneous_sort0] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_simultaneous_sort[simultaneous_sort1] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_gaussian_kde[KDTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_gaussian_kde[BallTree] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-1-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-3-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-True-5-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-1-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-3-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[True-False-5-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-1-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-3-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-True-5-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-1-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-seuclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-wminkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-3-BallTree-mahalanobis] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-KDTree-euclidean] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-KDTree-manhattan] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-KDTree-chebyshev] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-KDTree-minkowski] PASSED [ 42%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-manhattan] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-minkowski] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-chebyshev] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-seuclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-wminkowski] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query[False-False-5-BallTree-mahalanobis] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[0-KDTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[0-BallTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[0-BallTree-dist_func] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[1-KDTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[1-BallTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[1-BallTree-dist_func] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[2-KDTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[2-BallTree-euclidean] PASSED [ 43%]
> sklearn/neighbors/tests/test_neighbors_tree.py::test_pickle[2-BallTree-dist_func] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quadtree_boundary_computation PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quadtree_similar_point PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[0-2] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[0-3] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[1-2] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[1-3] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[2-2] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_quad_tree_pickle[2-3] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_qt_insert_duplicate[2] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_qt_insert_duplicate[3] PASSED [ 43%]
> sklearn/neighbors/tests/test_quad_tree.py::test_summarize PASSED         [ 43%]
> sklearn/neural_network/tests/test_base.py::test_binary_log_loss_1_prob_finite PASSED [ 43%]
> sklearn/neural_network/tests/test_base.py::test_log_loss_1_prob_finite[y_true0-y_prob0] PASSED [ 43%]
> sklearn/neural_network/tests/test_base.py::test_log_loss_1_prob_finite[y_true1-y_prob1] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_alpha PASSED              [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_fit PASSED                [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_gradient PASSED           [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_classification[X0-y0] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_classification[X1-y1] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_regression[X0-y0] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_classification_maxfun[X0-y0] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_classification_maxfun[X1-y1] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_lbfgs_regression_maxfun[X0-y0] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_learning_rate_warmstart PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_multilabel_classification PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_multioutput_regression PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_partial_fit_classes_error PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_partial_fit_classification PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_partial_fit_unseen_classes PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_partial_fit_regression PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_partial_fit_errors PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args0] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args1] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args2] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args3] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args4] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args5] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args6] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args7] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args8] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args9] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args10] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args11] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args12] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args13] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args14] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args15] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args16] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args17] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args18] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_params_errors[args19] PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_predict_proba_binary PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_predict_proba_multiclass PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_predict_proba_multilabel PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_shuffle PASSED            [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_sparse_matrices PASSED    [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_tolerance PASSED          [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_verbose_sgd PASSED        [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_early_stopping PASSED     [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_adaptive_learning_rate PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_warm_start PASSED         [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_n_iter_no_change PASSED   [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_n_iter_no_change_inf PASSED [ 43%]
> sklearn/neural_network/tests/test_mlp.py::test_early_stopping_stratified PASSED [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_fit PASSED                [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_partial_fit PASSED        [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_transform PASSED          [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_small_sparse PASSED       [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_small_sparse_partial_fit PASSED [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_sample_hiddens PASSED     [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_fit_gibbs PASSED          [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_fit_gibbs_sparse PASSED   [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_gibbs_smoke PASSED        [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_score_samples PASSED      [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_rbm_verbose PASSED        [ 43%]
> sklearn/neural_network/tests/test_rbm.py::test_sparse_and_verbose PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_base_optimizer PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_sgd_optimizer_no_momentum PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_sgd_optimizer_momentum PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_sgd_optimizer_trigger_stopping PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_sgd_optimizer_nesterovs_momentum PASSED [ 43%]
> sklearn/neural_network/tests/test_stochastic_optimizers.py::test_adam_optimizer PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est1-minmax_scale-False-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est2-scale-False-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est4-power_transform-False-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est5-power_transform-False-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est7-robust_scale-False-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est0-maxabs_scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est1-minmax_scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est2-scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est3-scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est4-power_transform] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est5-power_transform] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est6-quantile_transform] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est7-robust_scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_common.py::test_missing_value_pandas_na_support[est8-robust_scale] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_feature_names PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_feature_array_order PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[1-True-False-int] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[2-True-False-int] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[2-True-False-float32] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[2-True-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[3-False-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[3-False-True-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[4-False-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csc_X[4-False-True-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[1-True-False-int] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[2-True-False-int] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[2-True-False-float32] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[2-True-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[3-False-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X[3-False-True-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_floats[2-True-False-float32] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_floats[2-True-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_floats[3-False-False-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_floats[3-False-True-float64] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[0-2-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[1-2-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[2-2-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[0-3-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[1-3-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[2-3-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[0-2-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[1-2-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[2-2-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[0-3-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[1-3-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_zero_row[2-3-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_degree_4[True-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_degree_4[True-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_degree_4[False-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_degree_4[False-False] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[2-1-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[2-2-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-1-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-2-True] PASSED [ 43%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-3-True] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[2-1-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[2-2-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-1-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-2-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_polynomial_features_csr_X_dim_edges[3-3-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_1d PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_dtype PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scale_1d PASSED           [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_numerical_stability PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_2d_arrays PASSED   [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_float16_overflow PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_handle_zeros_in_scale PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_minmax_scaler_partial_fit PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_partial_fit PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_partial_fit_numerical_stability PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_partial_fit_sparse_input PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_trasform_with_partial_fit PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_min_max_scaler_iris PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_min_max_scaler_zero_variance_features PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_minmax_scale_axis1 PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_min_max_scaler_1d PASSED  [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_without_centering PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[asarray-True-True] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[asarray-True-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[asarray-False-True] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[asarray-False-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csc_matrix-True-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csc_matrix-True-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csc_matrix-False-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csc_matrix-False-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csr_matrix-True-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csr_matrix-True-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csr_matrix-False-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_n_samples_seen_with_nan[csr_matrix-False-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_return_identity PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_int PASSED         [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scaler_without_copy PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scale_sparse_with_mean_raise_exception PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scale_input_finiteness_validation PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_error_sparse PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X0-True-True] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X0-True-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X0-False-True] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X0-False-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X1-True-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X1-True-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X1-False-True] SKIPPED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_attributes[X1-False-False] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_col_zero_sparse PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_2d_arrays PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[positive-0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[positive-0.05] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[positive-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[positive-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[positive-1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[negative-0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[negative-0.05] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[negative-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[negative-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[negative-1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[zeros-0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[zeros-0.05] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[zeros-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[zeros-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[zeros-1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[None-0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[None-0.05] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[None-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[None-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_equivalence_dense_sparse[None-1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_transform_one_row_csr PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_iris PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_iris_quantiles PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_iris PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_check_error PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_sparse_ignore_zeros PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_dense_toy PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_subsampling PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_sparse_toy PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_axis1 PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_bounds PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transformer_sorted_quantiles[array] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transformer_sorted_quantiles[sparse] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_invalid_range PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_scale_function_without_centering PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scale_axis1 PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scale_1d_array PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_robust_scaler_zero_variance_features PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_maxabs_scaler_zero_variance_features PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_maxabs_scaler_large_negative_value PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_maxabs_scaler_transform_one_row_csr PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_maxabs_scaler_1d PASSED   [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_maxabs_scaler_partial_fit PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_normalizer_l1 PASSED      [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_normalizer_l2 PASSED      [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_normalizer_max PASSED     [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_normalizer_max_sign PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_normalize PASSED          [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_binarizer PASSED          [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_center_kernel PASSED      [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_cv_pipeline_precomputed PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_fit_transform PASSED      [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_add_dummy_feature PASSED  [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_add_dummy_feature_coo PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_add_dummy_feature_csc PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_add_dummy_feature_csr PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_fit_cold_start PASSED     [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_quantile_transform_valid_axis PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_notfitted[box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_notfitted[yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X0-True-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X0-True-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X0-False-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X0-False-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X1-True-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X1-True-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X1-False-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_inverse[X1-False-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_1d PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_2d PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_boxcox_strictly_positive_exception PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_yeojohnson_any_input[X0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_yeojohnson_any_input[X1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_yeojohnson_any_input[X2] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_yeojohnson_any_input[X3] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_shape_exception[box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_shape_exception[yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_method_exception PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_lambda_zero PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_lambda_one PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_optimization_power_transformer[box-cox-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_optimization_power_transformer[box-cox-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_optimization_power_transformer[yeo-johnson-0.1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_optimization_power_transformer[yeo-johnson-0.5] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_optimization_power_transformer[yeo-johnson-1.0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_yeo_johnson_darwin_example PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_nans[box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_nans[yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_fit_transform[True-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_fit_transform[True-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_fit_transform[False-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_fit_transform[False-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_True[True-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_True[True-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_True[False-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_True[False-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_False[True-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_False[True-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_False[False-box-cox] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_power_transformer_copy_False[False-yeo-johnson] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sparse_partial_fit_finite_variance[X_20] PASSED [ 44%]
> sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sparse_partial_fit_finite_variance[X_21] PASSED [ 44%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[uniform-expected0] PASSED [ 44%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[kmeans-expected1] PASSED [ 44%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_valid_n_bins PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_invalid_n_bins PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_invalid_n_bins_array PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[uniform-expected0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[kmeans-expected1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_invalid_n_features PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_same_min_max[uniform] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_same_min_max[kmeans] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_same_min_max[quantile] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_transform_1d_behavior PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[3] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[4] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[5] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[6] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[7] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_numeric_stability[8] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_invalid_encode_option PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_encode_options PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_invalid_strategy_option PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_nonuniform_strategies[uniform-expected_2bins0-expected_3bins0-expected_5bins0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_nonuniform_strategies[kmeans-expected_2bins1-expected_3bins1-expected_5bins1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_nonuniform_strategies[quantile-expected_2bins2-expected_3bins2-expected_5bins2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[ordinal-uniform-expected_inv0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[ordinal-kmeans-expected_inv1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[ordinal-quantile-expected_inv2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-uniform-expected_inv0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-kmeans-expected_inv1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-quantile-expected_inv2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-dense-uniform-expected_inv0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-dense-kmeans-expected_inv1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_inverse_transform[onehot-dense-quantile-expected_inv2] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_transform_outside_fit_range[uniform] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_transform_outside_fit_range[kmeans] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_transform_outside_fit_range[quantile] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_overwrite PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[quantile-expected_bin_edges0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_discretization.py::test_percentile_numeric_stability PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_sparse_dense PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_diff_n_features PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_not_fitted PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-int32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-float32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[int32-float64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-int32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-float32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float32-float64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-int32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-float32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype[float64-float64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[int32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[float32] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_dtype_pandas[float64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names_unicode PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_set_params PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[mixed] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[first-False] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[first-True] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse_if_binary PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[if_binary-if_binary] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[if_binary-first] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[if_binary-None] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[first-if_binary] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[first-first] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[first-None] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[None-if_binary] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[None-first] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_reset[None-None] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D[X0-fit] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D[X0-fit_transform] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D[X1-fit] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D[X1-fit_transform] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D_pandas[fit] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_X_is_not_1D_pandas[fit_transform] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[mixed] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_categories[string] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-cat] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_unsorted_categories PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories_mixed_columns PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_pandas PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names_drop[first] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names_drop[binary] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_feature_names_drop[manual] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_equals_if_binary PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-array-numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-array-object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-dataframe-numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[error-dataframe-object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-array-numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-array-object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-dataframe-numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_raise_missing[ignore-dataframe-object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[mixed] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_specified_categories[object-string-cat] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_inverse PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_raise_missing[numeric] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_raise_missing[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_ordinal_encoder_raise_categories_shape PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoder_dtypes PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoder_dtypes_pandas PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_warning FAILED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_drop_manual PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_invalid_params[X_fit0-params0-Wrong input for parameter `drop`] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_invalid_params[X_fit1-params1-`handle_unknown` must be 'error'] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_invalid_params[X_fit2-params2-Wrong input for parameter `drop`] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_invalid_params[X_fit3-params3-The following categories were supposed] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_invalid_drop_length[drop0] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_invalid_drop_length[drop1] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_categories[first-sparse] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_categories[first-dense] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_categories[manual-sparse] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_categories[manual-dense] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoders_has_categorical_tags[OneHotEncoder] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoders_has_categorical_tags[OrdinalEncoder] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoders_does_not_support_none_values[OneHotEncoder] PASSED [ 45%]
> sklearn/preprocessing/tests/test_encoders.py::test_encoders_does_not_support_none_values[OrdinalEncoder] PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_delegate_to_func PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_np_log PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_kw_arg PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_kw_arg_update PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_kw_arg_reset PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_inverse_transform PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_check_inverse PASSED [ 45%]
> sklearn/preprocessing/tests/test_function_transformer.py::test_function_transformer_frame PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarizer PASSED   [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarizer_unseen_labels PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarizer_set_label_encoding PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarizer_errors PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder[int64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder[str] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_negative_ints PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_str_bad_shape[str] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_str_bad_shape[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_errors PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_empty_array[int64] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_empty_array[object] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_label_encoder_empty_array[str] PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_sparse_output_multilabel_binarizer PASSED [ 45%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_empty_sample PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_unknown_class PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_given_classes PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_multiple_calls PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_same_length_sequence PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_non_integer_labels PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_non_unique PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_multilabel_binarizer_inverse_validation PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarize_with_class_order PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarize_binary PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarize_multiclass PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_label_binarize_multilabel PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_invalid_input_label_binarize PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_inverse_binarize_multiclass PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_encode_util[int64] PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_encode_util[object] PASSED [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_encode_util[str] PASSED  [ 46%]
> sklearn/preprocessing/tests/test_label.py::test_encode_check_unknown PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_fit_transduction PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_distribution PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_predict PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_predict_proba PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_label_spreading_closed_form PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_label_propagation_closed_form PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_valid_alpha PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_convergence_speed PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_convergence_warning FAILED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_label_propagation_non_zero_normalizer PASSED [ 46%]
> sklearn/semi_supervised/tests/test_label_propagation.py::test_predict_sparse_callable_kernel PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-two-classes-sparse-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-two-classes-sparse-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-two-classes-dense-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-two-classes-dense-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-multi-class-sparse-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-multi-class-sparse-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-multi-class-dense-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[no-intercept-multi-class-dense-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-two-classes-sparse-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-two-classes-sparse-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-two-classes-dense-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-two-classes-dense-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-multi-class-sparse-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-multi-class-sparse-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-multi-class-dense-squared_hinge] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c[fit-intercept-multi-class-dense-log] PASSED [ 46%]
> sklearn/svm/tests/test_bounds.py::test_l1_min_c_l2_loss PASSED           [ 46%]
> sklearn/svm/tests/test_bounds.py::test_ill_posed_min_c PASSED            [ 46%]
> sklearn/svm/tests/test_bounds.py::test_unsupported_loss PASSED           [ 46%]
> sklearn/svm/tests/test_sparse.py::test_svc PASSED                        [ 46%]
> sklearn/svm/tests/test_sparse.py::test_unsorted_indices PASSED           [ 46%]
> sklearn/svm/tests/test_sparse.py::test_svc_with_custom_kernel PASSED     [ 46%]
> sklearn/svm/tests/test_sparse.py::test_svc_iris PASSED                   [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_decision_function PASSED   [ 46%]
> sklearn/svm/tests/test_sparse.py::test_error PASSED                      [ 46%]
> sklearn/svm/tests/test_sparse.py::test_linearsvc PASSED                  [ 46%]
> sklearn/svm/tests/test_sparse.py::test_linearsvc_iris PASSED             [ 46%]
> sklearn/svm/tests/test_sparse.py::test_weight PASSED                     [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sample_weights PASSED             [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_liblinear_intercept_handling PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[linear-0] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[linear-1] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[linear-2] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[linear-3] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[poly-0] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[poly-1] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[poly-2] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[poly-3] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[rbf-0] PASSED  [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[rbf-1] PASSED  [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[rbf-2] PASSED  [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[rbf-3] PASSED  [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[sigmoid-0] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[sigmoid-1] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[sigmoid-2] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_oneclasssvm[sigmoid-3] PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_realdata PASSED            [ 46%]
> sklearn/svm/tests/test_sparse.py::test_sparse_svc_clone_with_callable_kernel PASSED [ 46%]
> sklearn/svm/tests/test_sparse.py::test_timeout PASSED                    [ 46%]
> sklearn/svm/tests/test_sparse.py::test_consistent_proba PASSED           [ 46%]
> sklearn/svm/tests/test_svm.py::test_libsvm_parameters PASSED             [ 46%]
> sklearn/svm/tests/test_svm.py::test_libsvm_iris PASSED                   [ 46%]
> sklearn/svm/tests/test_svm.py::test_precomputed PASSED                   [ 46%]
> sklearn/svm/tests/test_svm.py::test_svr PASSED                           [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvr PASSED                     [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvr_fit_sampleweight PASSED    [ 46%]
> sklearn/svm/tests/test_svm.py::test_svr_errors PASSED                    [ 46%]
> sklearn/svm/tests/test_svm.py::test_oneclass PASSED                      [ 46%]
> sklearn/svm/tests/test_svm.py::test_oneclass_decision_function PASSED    [ 46%]
> sklearn/svm/tests/test_svm.py::test_oneclass_score_samples PASSED        [ 46%]
> sklearn/svm/tests/test_svm.py::test_tweak_params PASSED                  [ 46%]
> sklearn/svm/tests/test_svm.py::test_probability PASSED                   [ 46%]
> sklearn/svm/tests/test_svm.py::test_decision_function PASSED             [ 46%]
> sklearn/svm/tests/test_svm.py::test_decision_function_shape[SVC] PASSED  [ 46%]
> sklearn/svm/tests/test_svm.py::test_decision_function_shape[NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svr_predict PASSED                   [ 46%]
> sklearn/svm/tests/test_svm.py::test_weight PASSED                        [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_classifier_sided_sample_weight[estimator0] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_classifier_sided_sample_weight[estimator1] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_regressor_sided_sample_weight[estimator0] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_regressor_sided_sample_weight[estimator1] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_equivalence_sample_weight_C PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-SVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-NuSVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-OneClassSVM] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-negative-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-negative-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-negative-SVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-negative-NuSVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-negative-OneClassSVM] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_just_one_label[mask-label-1-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_just_one_label[mask-label-1-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_just_one_label[mask-label-2-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_just_one_label[mask-label-2-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_two_labels[partial-mask-label-1-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_two_labels[partial-mask-label-1-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_two_labels[partial-mask-label-2-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weights_svc_leave_two_labels[partial-mask-label-2-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-1-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-1-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-1-NuSVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-2-SVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-2-NuSVC] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_negative_weight_equal_coeffs[partial-mask-label-2-NuSVR] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_auto_weight PASSED                   [ 46%]
> sklearn/svm/tests/test_svm.py::test_bad_input PASSED                     [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_gamma_error[SVC-data0] PASSED    [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_gamma_error[NuSVC-data1] PASSED  [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_gamma_error[SVR-data2] PASSED    [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_gamma_error[NuSVR-data3] PASSED  [ 46%]
> sklearn/svm/tests/test_svm.py::test_svm_gamma_error[OneClassSVM-data4] PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_unicode_kernel PASSED                [ 46%]
> sklearn/svm/tests/test_svm.py::test_sparse_precomputed PASSED            [ 46%]
> sklearn/svm/tests/test_svm.py::test_sparse_fit_support_vectors_empty PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc_parameters PASSED          [ 46%]
> sklearn/svm/tests/test_svm.py::test_linear_svx_uppercase_loss_penality_raises_error PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc PASSED                     [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc_crammer_singer PASSED      [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc_fit_sampleweight PASSED    [ 46%]
> sklearn/svm/tests/test_svm.py::test_crammer_singer_binary PASSED         [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc_iris PASSED                [ 46%]
> sklearn/svm/tests/test_svm.py::test_dense_liblinear_intercept_handling PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_liblinear_set_coef PASSED            [ 46%]
> sklearn/svm/tests/test_svm.py::test_immutable_coef_property PASSED       [ 46%]
> sklearn/svm/tests/test_svm.py::test_linearsvc_verbose PASSED             [ 46%]
> sklearn/svm/tests/test_svm.py::test_svc_clone_with_callable_kernel PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svc_bad_kernel PASSED                [ 46%]
> sklearn/svm/tests/test_svm.py::test_timeout PASSED                       [ 46%]
> sklearn/svm/tests/test_svm.py::test_unfitted PASSED                      [ 46%]
> sklearn/svm/tests/test_svm.py::test_consistent_proba PASSED              [ 46%]
> sklearn/svm/tests/test_svm.py::test_linear_svm_convergence_warnings PASSED [ 46%]
> sklearn/svm/tests/test_svm.py::test_svr_coef_sign PASSED                 [ 46%]
> sklearn/svm/tests/test_svm.py::test_linear_svc_intercept_scaling PASSED  [ 46%]
> sklearn/svm/tests/test_svm.py::test_lsvc_intercept_scaling_zero PASSED   [ 46%]
> sklearn/svm/tests/test_svm.py::test_hasattr_predict_proba PASSED         [ 46%]
> sklearn/svm/tests/test_svm.py::test_decision_function_shape_two_class PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_ovr_decision_function PASSED         [ 47%]
> sklearn/svm/tests/test_svm.py::test_svc_invalid_break_ties_param[SVC] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_svc_invalid_break_ties_param[NuSVC] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_svc_ovr_tie_breaking[SVC] PASSED     [ 47%]
> sklearn/svm/tests/test_svm.py::test_svc_ovr_tie_breaking[NuSVC] PASSED   [ 47%]
> sklearn/svm/tests/test_svm.py::test_gamma_auto PASSED                    [ 47%]
> sklearn/svm/tests/test_svm.py::test_gamma_scale PASSED                   [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVC-params0] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVC-params1] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVC-params2] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVC-params3] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVR-params4] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVR-params5] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_linearsvm_liblinear_sample_weight[LinearSVR-params6] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_n_support_oneclass_svr PASSED        [ 47%]
> sklearn/svm/tests/test_svm.py::test_svm_probA_proB_deprecated[probA_-OneClassSVM-data0] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_svm_probA_proB_deprecated[probA_-SVR-data1] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_svm_probA_proB_deprecated[probB_-OneClassSVM-data0] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_svm_probA_proB_deprecated[probB_-SVR-data1] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_custom_kernel_not_array_input[SVC] PASSED [ 47%]
> sklearn/svm/tests/test_svm.py::test_custom_kernel_not_array_input[SVR] PASSED [ 47%]
> sklearn/tests/test_base.py::test_clone PASSED                            [ 47%]
> sklearn/tests/test_base.py::test_clone_2 PASSED                          [ 47%]
> sklearn/tests/test_base.py::test_clone_buggy PASSED                      [ 47%]
> sklearn/tests/test_base.py::test_clone_empty_array PASSED                [ 47%]
> sklearn/tests/test_base.py::test_clone_nan PASSED                        [ 47%]
> sklearn/tests/test_base.py::test_clone_sparse_matrices PASSED            [ 47%]
> sklearn/tests/test_base.py::test_clone_estimator_types PASSED            [ 47%]
> sklearn/tests/test_base.py::test_clone_class_rather_than_instance PASSED [ 47%]
> sklearn/tests/test_base.py::test_repr PASSED                             [ 47%]
> sklearn/tests/test_base.py::test_str PASSED                              [ 47%]
> sklearn/tests/test_base.py::test_get_params PASSED                       [ 47%]
> sklearn/tests/test_base.py::test_is_classifier PASSED                    [ 47%]
> sklearn/tests/test_base.py::test_set_params PASSED                       [ 47%]
> sklearn/tests/test_base.py::test_set_params_passes_all_parameters PASSED [ 47%]
> sklearn/tests/test_base.py::test_set_params_updates_valid_params PASSED  [ 47%]
> sklearn/tests/test_base.py::test_score_sample_weight PASSED              [ 47%]
> sklearn/tests/test_base.py::test_clone_pandas_dataframe PASSED           [ 47%]
> sklearn/tests/test_base.py::test_pickle_version_warning_is_not_raised_with_matching_version PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickle_version_warning_is_issued_upon_different_version PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickle_version_warning_is_issued_when_no_version_info_in_pickle PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickling_when_getstate_is_overwritten_by_mixin PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn PASSED [ 47%]
> sklearn/tests/test_base.py::test_pickling_works_when_getstate_is_overwritten_in_the_child_class PASSED [ 47%]
> sklearn/tests/test_base.py::test_tag_inheritance PASSED                  [ 47%]
> sklearn/tests/test_base.py::test_warns_on_get_params_non_attribute PASSED [ 47%]
> sklearn/tests/test_base.py::test_repr_mimebundle_ PASSED                 [ 47%]
> sklearn/tests/test_base.py::test_repr_html_wraps PASSED                  [ 47%]
> sklearn/tests/test_build.py::test_openmp_parallelism_enabled PASSED      [ 47%]
> sklearn/tests/test_calibration.py::test_calibration PASSED               [ 47%]
> sklearn/tests/test_calibration.py::test_sample_weight PASSED             [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_multiclass PASSED    [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_prefit PASSED        [ 47%]
> sklearn/tests/test_calibration.py::test_sigmoid_calibration PASSED       [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_curve PASSED         [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_nan_imputer PASSED   [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_prob_sum PASSED      [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_less_classes PASSED  [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_accepts_ndarray[X0] PASSED [ 47%]
> sklearn/tests/test_calibration.py::test_calibration_accepts_ndarray[X1] PASSED [ 47%]
> sklearn/tests/test_check_build.py::test_raise_build_error PASSED         [ 47%]
> sklearn/tests/test_common.py::test_all_estimator_no_base_class PASSED    [ 47%]
> sklearn/tests/test_common.py::test_estimator_cls_parameterize_with_checks PASSED [ 47%]
> sklearn/tests/test_common.py::test_mark_xfail_checks_with_unconsructable_estimator PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ARDRegression-ARDRegression] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[AdaBoostClassifier-AdaBoostClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[AdaBoostRegressor-AdaBoostRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[AdditiveChi2Sampler-AdditiveChi2Sampler] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[AffinityPropagation-AffinityPropagation] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[AgglomerativeClustering-AgglomerativeClustering] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BaggingClassifier-BaggingClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BaggingRegressor-BaggingRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BayesianGaussianMixture-BayesianGaussianMixture] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BayesianRidge-BayesianRidge] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BernoulliNB-BernoulliNB] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[BernoulliRBM-BernoulliRBM] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Binarizer-Binarizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Birch-Birch] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[CCA-CCA] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[CalibratedClassifierCV-CalibratedClassifierCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[CategoricalNB-CategoricalNB] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ClassifierChain-ClassifierChain] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ColumnTransformer-ColumnTransformer] SKIPPED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ComplementNB-ComplementNB] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[CountVectorizer-CountVectorizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DBSCAN-DBSCAN] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DecisionTreeClassifier-DecisionTreeClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DecisionTreeRegressor-DecisionTreeRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DictVectorizer-DictVectorizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DictionaryLearning-DictionaryLearning] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DummyClassifier-DummyClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[DummyRegressor-DummyRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ElasticNet-ElasticNet] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ElasticNetCV-ElasticNetCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[EllipticEnvelope-EllipticEnvelope] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[EmpiricalCovariance-EmpiricalCovariance] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ExtraTreeClassifier-ExtraTreeClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ExtraTreeRegressor-ExtraTreeRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ExtraTreesClassifier-ExtraTreesClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ExtraTreesRegressor-ExtraTreesRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FactorAnalysis-FactorAnalysis] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FastICA-FastICA] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FeatureAgglomeration-FeatureAgglomeration] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FeatureHasher-FeatureHasher] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FeatureUnion-FeatureUnion] SKIPPED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[FunctionTransformer-FunctionTransformer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GammaRegressor-GammaRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GaussianMixture-GaussianMixture] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GaussianNB-GaussianNB] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GaussianProcessClassifier-GaussianProcessClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GaussianProcessRegressor-GaussianProcessRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GaussianRandomProjection-GaussianRandomProjection] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GenericUnivariateSelect-GenericUnivariateSelect] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GradientBoostingClassifier-GradientBoostingClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GradientBoostingRegressor-GradientBoostingRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GraphicalLasso-GraphicalLasso] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GraphicalLassoCV-GraphicalLassoCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[GridSearchCV-GridSearchCV] SKIPPED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[HashingVectorizer-HashingVectorizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[HistGradientBoostingClassifier-HistGradientBoostingClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[HistGradientBoostingRegressor-HistGradientBoostingRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[HuberRegressor-HuberRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[IncrementalPCA-IncrementalPCA] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[IsolationForest-IsolationForest] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Isomap-Isomap] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[IsotonicRegression-IsotonicRegression] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[IterativeImputer-IterativeImputer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KBinsDiscretizer-KBinsDiscretizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KMeans-KMeans] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KNNImputer-KNNImputer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KNeighborsClassifier-KNeighborsClassifier] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KNeighborsRegressor-KNeighborsRegressor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KNeighborsTransformer-KNeighborsTransformer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KernelCenterer-KernelCenterer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KernelDensity-KernelDensity] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KernelPCA-KernelPCA] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[KernelRidge-KernelRidge] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LabelBinarizer-LabelBinarizer] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LabelEncoder-LabelEncoder] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LabelPropagation-LabelPropagation] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LabelSpreading-LabelSpreading] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Lars-Lars] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LarsCV-LarsCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Lasso-Lasso] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LassoCV-LassoCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LassoLars-LassoLars] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LassoLarsCV-LassoLarsCV] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LassoLarsIC-LassoLarsIC] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LatentDirichletAllocation-LatentDirichletAllocation] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LedoitWolf-LedoitWolf] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LinearDiscriminantAnalysis-LinearDiscriminantAnalysis] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LinearRegression-LinearRegression] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LinearSVC-LinearSVC] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LinearSVR-LinearSVR] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LocalOutlierFactor-LocalOutlierFactor] PASSED [ 47%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LocallyLinearEmbedding-LocallyLinearEmbedding] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LogisticRegression-LogisticRegression] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[LogisticRegressionCV-LogisticRegressionCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MDS-MDS] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MLPClassifier-MLPClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MLPRegressor-MLPRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MaxAbsScaler-MaxAbsScaler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MeanShift-MeanShift] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MinCovDet-MinCovDet] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MinMaxScaler-MinMaxScaler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MiniBatchDictionaryLearning-MiniBatchDictionaryLearning] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MiniBatchKMeans-MiniBatchKMeans] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MiniBatchSparsePCA-MiniBatchSparsePCA] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MissingIndicator-MissingIndicator] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiLabelBinarizer-MultiLabelBinarizer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiOutputClassifier-MultiOutputClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiOutputRegressor-MultiOutputRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiTaskElasticNet-MultiTaskElasticNet] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiTaskElasticNetCV-MultiTaskElasticNetCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiTaskLasso-MultiTaskLasso] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultiTaskLassoCV-MultiTaskLassoCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[MultinomialNB-MultinomialNB] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NMF-NMF] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NearestCentroid-NearestCentroid] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NearestNeighbors-NearestNeighbors] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NeighborhoodComponentsAnalysis-NeighborhoodComponentsAnalysis] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Normalizer-Normalizer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NuSVC-NuSVC] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[NuSVR-NuSVR] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Nystroem-Nystroem] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OAS-OAS] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OPTICS-OPTICS] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OneClassSVM-OneClassSVM] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OneHotEncoder-OneHotEncoder] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OneVsOneClassifier-OneVsOneClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OneVsRestClassifier-OneVsRestClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OrdinalEncoder-OrdinalEncoder] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OrthogonalMatchingPursuitCV-OrthogonalMatchingPursuitCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[OutputCodeClassifier-OutputCodeClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PCA-PCA] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PLSCanonical-PLSCanonical] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PLSRegression-PLSRegression] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PLSSVD-PLSSVD] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PassiveAggressiveClassifier-PassiveAggressiveClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PassiveAggressiveRegressor-PassiveAggressiveRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PatchExtractor-PatchExtractor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Perceptron-Perceptron] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Pipeline-Pipeline] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PoissonRegressor-PoissonRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PolynomialFeatures-PolynomialFeatures] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[PowerTransformer-PowerTransformer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[QuadraticDiscriminantAnalysis-QuadraticDiscriminantAnalysis] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[QuantileTransformer-QuantileTransformer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RANSACRegressor-RANSACRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RBFSampler-RBFSampler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RFE-RFE] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RFECV-RFECV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RadiusNeighborsClassifier-RadiusNeighborsClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RadiusNeighborsRegressor-RadiusNeighborsRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RadiusNeighborsTransformer-RadiusNeighborsTransformer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RandomForestClassifier-RandomForestClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RandomForestRegressor-RandomForestRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RandomTreesEmbedding-RandomTreesEmbedding] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RandomizedSearchCV-RandomizedSearchCV] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RegressorChain-RegressorChain] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[Ridge-Ridge] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RidgeCV-RidgeCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RidgeClassifier-RidgeClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RidgeClassifierCV-RidgeClassifierCV] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[RobustScaler-RobustScaler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SGDClassifier-SGDClassifier] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SGDRegressor-SGDRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SVC-SVC] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SVR-SVR] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectFdr-SelectFdr] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectFpr-SelectFpr] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectFromModel-SelectFromModel] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectFwe-SelectFwe] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectKBest-SelectKBest] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SelectPercentile-SelectPercentile] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[ShrunkCovariance-ShrunkCovariance] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SimpleImputer-SimpleImputer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SkewedChi2Sampler-SkewedChi2Sampler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SparseCoder-SparseCoder] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SparsePCA-SparsePCA] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SparseRandomProjection-SparseRandomProjection] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SpectralBiclustering-SpectralBiclustering] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SpectralClustering-SpectralClustering] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SpectralCoclustering-SpectralCoclustering] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[SpectralEmbedding-SpectralEmbedding] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[StackingClassifier-StackingClassifier] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[StackingRegressor-StackingRegressor] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[StandardScaler-StandardScaler] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TSNE-TSNE] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TfidfTransformer-TfidfTransformer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TfidfVectorizer-TfidfVectorizer] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TheilSenRegressor-TheilSenRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TransformedTargetRegressor-TransformedTargetRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TruncatedSVD-TruncatedSVD] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[TweedieRegressor-TweedieRegressor] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[VarianceThreshold-VarianceThreshold] PASSED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[VotingClassifier-VotingClassifier] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_parameters_default_constructible[VotingRegressor-VotingRegressor] SKIPPED [ 48%]
> sklearn/tests/test_common.py::test_set_check_estimator_ids[val0-_sample_func(y=1)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_set_check_estimator_ids[_sample_func-_sample_func] PASSED [ 48%]
> sklearn/tests/test_common.py::test_set_check_estimator_ids[val2-_sample_func] PASSED [ 48%]
> sklearn/tests/test_common.py::test_set_check_estimator_ids[val3-LogisticRegression(C=2.0)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_set_check_estimator_ids[val4-LogisticRegression(class_weight='balanced',random_state=1,solver='newton-cg',warm_start=True)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_no_attributes_set_in_init] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit_score_takes_y] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_sample_weights_pandas_series] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_sample_weights_not_an_array] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_sample_weights_list] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_sample_weights_shape] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_sample_weights_invariance] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_fit_returns_self] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_complex_data] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dtype_object] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_empty_data_messages] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_pipeline_consistency] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_nan_inf] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_overwrite_params] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimator_sparse_data] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_pickle] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_train] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_train(readonly_memmap=True)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressor_data_not_an_array] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_partial_fit_n_features] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_supervised_y_2d] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_supervised_y_no_nan] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_int] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_unfitted] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_non_transformer_estimators_n_iter] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1sample] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit1d] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_get_params_invariance] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_set_params] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dict_unchanged] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit_idempotent] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_n_features_in] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_requires_y_none] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_no_attributes_set_in_init] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_dtypes] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit_score_takes_y] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_sample_weights_pandas_series] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_sample_weights_not_an_array] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_sample_weights_list] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_sample_weights_shape] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_sample_weights_invariance] PASSED [ 48%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_fit_returns_self] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_complex_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_dtype_object] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_empty_data_messages] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_pipeline_consistency] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_nan_inf] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_overwrite_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimator_sparse_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_pickle] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifier_data_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_one_label] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_classes] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_partial_fit_n_features] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_train] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_classifiers_regression_target] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_supervised_y_no_nan] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_supervised_y_2d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_estimators_unfitted] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_decision_proba_consistency] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit2d_predict1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_methods_subset_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit2d_1sample] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit2d_1feature] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_get_params_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_set_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_dict_unchanged] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_dont_overwrite_parameters] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_fit_idempotent] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_n_features_in] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostClassifier()-check_requires_y_none] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_no_attributes_set_in_init] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_dtypes] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit_score_takes_y] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_sample_weights_pandas_series] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_sample_weights_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_sample_weights_list] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_sample_weights_shape] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_sample_weights_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_fit_returns_self] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_complex_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_dtype_object] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_empty_data_messages] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_pipeline_consistency] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_nan_inf] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_overwrite_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimator_sparse_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_pickle] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressors_train] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressor_data_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_partial_fit_n_features] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressors_no_decision_function] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_supervised_y_2d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_supervised_y_no_nan] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_regressors_int] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_estimators_unfitted] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit2d_predict1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_methods_subset_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit2d_1sample] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit2d_1feature] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_get_params_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_set_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_dict_unchanged] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_dont_overwrite_parameters] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_fit_idempotent] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_n_features_in] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdaBoostRegressor()-check_requires_y_none] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_no_attributes_set_in_init] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_dtypes] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit_score_takes_y] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_sample_weights_pandas_series] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_sample_weights_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_sample_weights_list] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_sample_weights_shape] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_sample_weights_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_fit_returns_self] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_complex_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_dtype_object] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_empty_data_messages] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_pipeline_consistency] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_nan_inf] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_overwrite_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimator_sparse_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_estimators_pickle] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_transformer_data_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_transformer_general] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_transformer_general(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_transformer_n_iter] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit2d_predict1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_methods_subset_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit2d_1sample] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit2d_1feature] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_get_params_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_set_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_dict_unchanged] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_dont_overwrite_parameters] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit_idempotent] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_n_features_in] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AdditiveChi2Sampler()-check_fit_non_negative] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_no_attributes_set_in_init] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_dtypes] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit_score_takes_y] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_sample_weights_pandas_series] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_sample_weights_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_sample_weights_list] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_sample_weights_shape] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_sample_weights_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_fit_returns_self] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_complex_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_dtype_object] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_empty_data_messages] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_pipeline_consistency] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_nan_inf] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_overwrite_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimator_sparse_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_pickle] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_clusterer_compute_labels_predict] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_clustering] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_clustering(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_estimators_partial_fit_n_features] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_non_transformer_estimators_n_iter] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit2d_predict1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_methods_subset_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit2d_1sample] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit2d_1feature] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit1d] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_get_params_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_set_params] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_dict_unchanged] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_dont_overwrite_parameters] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_fit_idempotent] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AffinityPropagation()-check_n_features_in] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_no_attributes_set_in_init] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_dtypes] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit_score_takes_y] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_sample_weights_pandas_series] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_sample_weights_not_an_array] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_sample_weights_list] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_sample_weights_shape] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_sample_weights_invariance] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_fit_returns_self] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_complex_data] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_dtype_object] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_empty_data_messages] PASSED [ 49%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_pipeline_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_nan_inf] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_overwrite_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimator_sparse_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_pickle] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_clusterer_compute_labels_predict] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_clustering] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_clustering(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_estimators_partial_fit_n_features] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_non_transformer_estimators_n_iter] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit2d_predict1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_methods_subset_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit2d_1sample] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit2d_1feature] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_get_params_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_set_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_dict_unchanged] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_dont_overwrite_parameters] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_fit_idempotent] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[AgglomerativeClustering()-check_n_features_in] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_no_attributes_set_in_init] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_dtypes] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit_score_takes_y] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_sample_weights_pandas_series] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_sample_weights_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_sample_weights_list] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_sample_weights_shape] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_sample_weights_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_fit_returns_self] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_complex_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_dtype_object] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_empty_data_messages] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_pipeline_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_nan_inf] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_overwrite_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimator_sparse_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_pickle] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifier_data_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_one_label] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_classes] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_partial_fit_n_features] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_train] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_classifiers_regression_target] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_supervised_y_no_nan] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_supervised_y_2d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_estimators_unfitted] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_decision_proba_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit2d_predict1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_methods_subset_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit2d_1sample] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit2d_1feature] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_get_params_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_set_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_dict_unchanged] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_dont_overwrite_parameters] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_fit_idempotent] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_n_features_in] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingClassifier()-check_requires_y_none] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_no_attributes_set_in_init] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_dtypes] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit_score_takes_y] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_sample_weights_pandas_series] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_sample_weights_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_sample_weights_list] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_sample_weights_shape] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_sample_weights_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_fit_returns_self] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_complex_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_dtype_object] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_empty_data_messages] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_pipeline_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_nan_inf] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_overwrite_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimator_sparse_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_pickle] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressors_train] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressor_data_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_partial_fit_n_features] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressors_no_decision_function] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_supervised_y_2d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_supervised_y_no_nan] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_regressors_int] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_estimators_unfitted] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit2d_predict1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_methods_subset_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit2d_1sample] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit2d_1feature] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_get_params_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_set_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_dict_unchanged] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_dont_overwrite_parameters] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_fit_idempotent] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_n_features_in] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BaggingRegressor()-check_requires_y_none] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_no_attributes_set_in_init] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_dtypes] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit_score_takes_y] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_sample_weights_pandas_series] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_sample_weights_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_sample_weights_list] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_sample_weights_shape] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_sample_weights_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_fit_returns_self] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_complex_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_dtype_object] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_empty_data_messages] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_pipeline_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_nan_inf] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_overwrite_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimator_sparse_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_estimators_pickle] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit2d_predict1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_methods_subset_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit2d_1sample] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit2d_1feature] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit1d] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_get_params_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_set_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_dict_unchanged] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_dont_overwrite_parameters] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_fit_idempotent] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianGaussianMixture()-check_n_features_in] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_no_attributes_set_in_init] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_dtypes] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit_score_takes_y] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_sample_weights_pandas_series] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_sample_weights_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_sample_weights_list] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_sample_weights_shape] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_sample_weights_invariance] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_fit_returns_self] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_complex_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_dtype_object] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_empty_data_messages] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_pipeline_consistency] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_nan_inf] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_overwrite_params] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimator_sparse_data] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_pickle] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressors_train] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressors_train(readonly_memmap=True)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressor_data_not_an_array] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_partial_fit_n_features] PASSED [ 50%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressors_no_decision_function] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_supervised_y_2d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_supervised_y_no_nan] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_regressors_int] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_estimators_unfitted] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_non_transformer_estimators_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit2d_predict1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_methods_subset_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit2d_1sample] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit2d_1feature] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_get_params_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_set_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_dict_unchanged] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_dont_overwrite_parameters] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_fit_idempotent] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_n_features_in] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BayesianRidge()-check_requires_y_none] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_no_attributes_set_in_init] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_dtypes] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit_score_takes_y] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_sample_weights_pandas_series] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_sample_weights_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_sample_weights_list] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_sample_weights_shape] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_sample_weights_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_fit_returns_self] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_complex_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_dtype_object] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_empty_data_messages] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_pipeline_consistency] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_nan_inf] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_overwrite_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimator_sparse_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_pickle] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifier_data_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_one_label] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_classes] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_partial_fit_n_features] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_train] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_train(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_classifiers_regression_target] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_supervised_y_no_nan] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_supervised_y_2d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_estimators_unfitted] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_non_transformer_estimators_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_decision_proba_consistency] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit2d_predict1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_methods_subset_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit2d_1sample] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit2d_1feature] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_get_params_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_set_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_dict_unchanged] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_dont_overwrite_parameters] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_fit_idempotent] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_n_features_in] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliNB()-check_requires_y_none] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_no_attributes_set_in_init] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_dtypes] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit_score_takes_y] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_sample_weights_pandas_series] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_sample_weights_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_sample_weights_list] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_sample_weights_shape] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_sample_weights_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_fit_returns_self] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_complex_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_dtype_object] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_empty_data_messages] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_pipeline_consistency] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_nan_inf] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_overwrite_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimator_sparse_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_estimators_pickle] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_transformer_data_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_transformer_general] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_transformer_general(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_transformers_unfitted] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_transformer_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit2d_predict1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_methods_subset_invariance] XFAIL [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit2d_1sample] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit2d_1feature] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_get_params_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_set_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_dict_unchanged] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_dont_overwrite_parameters] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_fit_idempotent] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_n_features_in] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_no_attributes_set_in_init] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_dtypes] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit_score_takes_y] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_sample_weights_pandas_series] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_sample_weights_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_sample_weights_list] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_sample_weights_shape] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_sample_weights_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_fit_returns_self] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_complex_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_dtype_object] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_empty_data_messages] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_pipeline_consistency] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_nan_inf] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_overwrite_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimator_sparse_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_estimators_pickle] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_transformer_data_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_transformer_general] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_transformer_general(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_transformer_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit2d_predict1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_methods_subset_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit2d_1sample] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit2d_1feature] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_get_params_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_set_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_dict_unchanged] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_dont_overwrite_parameters] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_fit_idempotent] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Binarizer()-check_n_features_in] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_no_attributes_set_in_init] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_dtypes] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit_score_takes_y] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_sample_weights_pandas_series] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_sample_weights_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_sample_weights_list] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_sample_weights_shape] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_sample_weights_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_fit_returns_self] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_complex_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_dtype_object] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_empty_data_messages] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_pipeline_consistency] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_nan_inf] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_overwrite_params] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimator_sparse_data] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_pickle] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_transformer_data_not_an_array] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_transformer_general] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_transformer_general(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_transformers_unfitted] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_transformer_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_clusterer_compute_labels_predict] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_clustering] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_clustering(readonly_memmap=True)] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_estimators_partial_fit_n_features] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_non_transformer_estimators_n_iter] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit2d_predict1d] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_methods_subset_invariance] PASSED [ 51%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit2d_1sample] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit2d_1feature] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_get_params_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_set_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_dict_unchanged] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_dont_overwrite_parameters] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_fit_idempotent] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[Birch()-check_n_features_in] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_no_attributes_set_in_init] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_dtypes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit_score_takes_y] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_sample_weights_pandas_series] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_sample_weights_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_sample_weights_list] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_sample_weights_shape] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_sample_weights_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_fit_returns_self] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_complex_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_dtype_object] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_empty_data_messages] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_nan_inf] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_overwrite_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimator_sparse_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_pickle] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressors_train] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressors_train(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressor_data_not_an_array] SKIPPED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_partial_fit_n_features] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressor_multioutput] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_regressors_no_decision_function] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_supervised_y_2d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_supervised_y_no_nan] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_estimators_unfitted] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_non_transformer_estimators_n_iter] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_transformer_data_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_transformer_general] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_transformers_unfitted] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_transformer_n_iter] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit2d_predict1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_methods_subset_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit2d_1sample] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit2d_1feature] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit1d] PASSED  [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_get_params_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_set_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_dict_unchanged] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_dont_overwrite_parameters] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_fit_idempotent] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CCA()-check_n_features_in] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CalibratedClassifierCV(base_estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_no_attributes_set_in_init] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_dtypes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit_score_takes_y] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_sample_weights_pandas_series] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_sample_weights_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_sample_weights_list] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_sample_weights_shape] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_sample_weights_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_fit_returns_self] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_complex_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_dtype_object] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_empty_data_messages] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_pipeline_consistency] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_nan_inf] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_overwrite_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimator_sparse_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_pickle] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifier_data_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_one_label] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_classes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_partial_fit_n_features] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_train] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_train(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_classifiers_regression_target] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_supervised_y_no_nan] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_supervised_y_2d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_estimators_unfitted] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_non_transformer_estimators_n_iter] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_decision_proba_consistency] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit2d_predict1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_methods_subset_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit2d_1sample] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit2d_1feature] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit1d] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_get_params_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_set_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_dict_unchanged] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_dont_overwrite_parameters] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit_idempotent] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_n_features_in] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_requires_y_none] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[CategoricalNB()-check_fit_non_negative] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_no_attributes_set_in_init] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_dtypes] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit_score_takes_y] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_sample_weights_pandas_series] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_sample_weights_not_an_array] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_sample_weights_list] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_sample_weights_shape] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_sample_weights_invariance] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_fit_returns_self] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_complex_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_dtype_object] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_empty_data_messages] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_pipeline_consistency] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_nan_inf] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_overwrite_params] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimator_sparse_data] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_pickle] PASSED [ 52%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifier_data_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_one_label] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_classes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_partial_fit_n_features] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_train] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_train(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_classifiers_regression_target] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_supervised_y_no_nan] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_supervised_y_2d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_estimators_unfitted] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_non_transformer_estimators_n_iter] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_decision_proba_consistency] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit2d_predict1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_methods_subset_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit2d_1sample] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit2d_1feature] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_get_params_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_set_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_dict_unchanged] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_dont_overwrite_parameters] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit_idempotent] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_n_features_in] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_requires_y_none] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[ComplementNB()-check_fit_non_negative] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_no_attributes_set_in_init] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_dtypes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit_score_takes_y] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_sample_weights_pandas_series] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_sample_weights_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_sample_weights_list] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_sample_weights_shape] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_sample_weights_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_fit_returns_self] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_complex_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_dtype_object] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_empty_data_messages] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_pipeline_consistency] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_nan_inf] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_overwrite_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimator_sparse_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_pickle] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_clusterer_compute_labels_predict] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_clustering] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_clustering(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_estimators_partial_fit_n_features] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_non_transformer_estimators_n_iter] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit2d_predict1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_methods_subset_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit2d_1sample] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit2d_1feature] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_get_params_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_set_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_dict_unchanged] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_dont_overwrite_parameters] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_fit_idempotent] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DBSCAN()-check_n_features_in] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_no_attributes_set_in_init] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_dtypes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit_score_takes_y] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_sample_weights_pandas_series] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_sample_weights_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_sample_weights_list] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_sample_weights_shape] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_sample_weights_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_fit_returns_self] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_complex_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_dtype_object] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_empty_data_messages] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_pipeline_consistency] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_nan_inf] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_overwrite_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimator_sparse_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_pickle] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifier_data_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_one_label] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_classes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_partial_fit_n_features] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifier_multioutput] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_train] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_classifiers_regression_target] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_supervised_y_no_nan] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_supervised_y_2d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_estimators_unfitted] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_class_weight_classifiers] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_decision_proba_consistency] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit2d_predict1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_methods_subset_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit2d_1sample] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit2d_1feature] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_get_params_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_set_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_dict_unchanged] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_dont_overwrite_parameters] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_fit_idempotent] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_n_features_in] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeClassifier()-check_requires_y_none] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_no_attributes_set_in_init] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_dtypes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit_score_takes_y] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_sample_weights_pandas_series] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_sample_weights_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_sample_weights_list] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_sample_weights_shape] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_sample_weights_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_fit_returns_self] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_complex_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_dtype_object] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_empty_data_messages] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_pipeline_consistency] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_nan_inf] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_overwrite_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimator_sparse_data] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_pickle] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressors_train] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressor_data_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_partial_fit_n_features] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressor_multioutput] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressors_no_decision_function] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_supervised_y_2d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_supervised_y_no_nan] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_regressors_int] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_estimators_unfitted] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit2d_predict1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_methods_subset_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit2d_1sample] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit2d_1feature] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit1d] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_get_params_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_set_params] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_dict_unchanged] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_dont_overwrite_parameters] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_fit_idempotent] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_n_features_in] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DecisionTreeRegressor()-check_requires_y_none] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_no_attributes_set_in_init] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_dtypes] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit_score_takes_y] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_sample_weights_pandas_series] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_sample_weights_not_an_array] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_sample_weights_list] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_sample_weights_shape] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_sample_weights_invariance] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_fit_returns_self] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 53%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_complex_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_dtype_object] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_empty_data_messages] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_pipeline_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_nan_inf] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_overwrite_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimator_sparse_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_estimators_pickle] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_transformer_data_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_transformer_general] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_transformer_general(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_transformers_unfitted] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_transformer_n_iter] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit2d_predict1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_methods_subset_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit2d_1sample] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit2d_1feature] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_get_params_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_set_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_dict_unchanged] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_dont_overwrite_parameters] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_fit_idempotent] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DictionaryLearning()-check_n_features_in] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_no_attributes_set_in_init] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_dtypes] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit_score_takes_y] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_sample_weights_pandas_series] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_sample_weights_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_sample_weights_list] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_sample_weights_shape] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_sample_weights_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_fit_returns_self] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_pipeline_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_overwrite_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimator_sparse_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_pickle] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifier_data_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_one_label] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_classes] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_partial_fit_n_features] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifier_multioutput] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_train] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_classifiers_regression_target] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_estimators_unfitted] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_decision_proba_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit2d_predict1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_methods_subset_invariance] XFAIL [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit2d_1sample] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit2d_1feature] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_get_params_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_set_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_dict_unchanged] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_dont_overwrite_parameters] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_fit_idempotent] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_no_attributes_set_in_init] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_dtypes] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit_score_takes_y] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_sample_weights_pandas_series] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_sample_weights_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_sample_weights_list] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_sample_weights_shape] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_sample_weights_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_fit_returns_self] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_pipeline_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_overwrite_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimator_sparse_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_pickle] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressors_train] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressor_data_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_partial_fit_n_features] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressor_multioutput] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressors_no_decision_function] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_supervised_y_no_nan] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_regressors_int] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_estimators_unfitted] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit2d_predict1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_methods_subset_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit2d_1sample] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit2d_1feature] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_get_params_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_set_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_dict_unchanged] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_dont_overwrite_parameters] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[DummyRegressor()-check_fit_idempotent] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_no_attributes_set_in_init] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_dtypes] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit_score_takes_y] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_sample_weights_pandas_series] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_sample_weights_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_sample_weights_list] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_sample_weights_shape] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_sample_weights_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_fit_returns_self] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_complex_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_dtype_object] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_empty_data_messages] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_pipeline_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_nan_inf] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_overwrite_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimator_sparse_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_pickle] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressors_train] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressors_train(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressor_data_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_partial_fit_n_features] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressor_multioutput] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressors_no_decision_function] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_supervised_y_2d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_supervised_y_no_nan] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_regressors_int] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_estimators_unfitted] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_non_transformer_estimators_n_iter] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit2d_predict1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_methods_subset_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit2d_1sample] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit2d_1feature] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit1d] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_get_params_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_set_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_dict_unchanged] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_dont_overwrite_parameters] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_fit_idempotent] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_n_features_in] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNet()-check_requires_y_none] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_no_attributes_set_in_init] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_dtypes] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit_score_takes_y] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_sample_weights_pandas_series] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_sample_weights_not_an_array] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_sample_weights_list] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_sample_weights_shape] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_sample_weights_invariance] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_fit_returns_self] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_complex_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_dtype_object] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_empty_data_messages] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_pipeline_consistency] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_nan_inf] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_overwrite_params] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimator_sparse_data] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_pickle] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressors_train] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 54%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressor_data_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_partial_fit_n_features] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressors_no_decision_function] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_supervised_y_2d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_supervised_y_no_nan] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_regressors_int] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_estimators_unfitted] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_non_transformer_estimators_n_iter] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit2d_predict1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_methods_subset_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit2d_1sample] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit2d_1feature] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_get_params_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_set_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_dict_unchanged] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_dont_overwrite_parameters] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_fit_idempotent] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_n_features_in] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ElasticNetCV()-check_requires_y_none] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_no_attributes_set_in_init] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_dtypes] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit_score_takes_y] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_sample_weights_pandas_series] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_sample_weights_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_sample_weights_list] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_sample_weights_shape] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_sample_weights_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_fit_returns_self] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_complex_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_dtype_object] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_empty_data_messages] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_pipeline_consistency] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_nan_inf] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_overwrite_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimator_sparse_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_pickle] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_outliers_fit_predict] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_outliers_train] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_outliers_train(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_classifier_data_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_estimators_unfitted] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_predict1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_methods_subset_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1sample] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_get_params_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_set_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_dict_unchanged] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_dont_overwrite_parameters] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit_idempotent] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_n_features_in] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_no_attributes_set_in_init] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_dtypes] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit_score_takes_y] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_sample_weights_pandas_series] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_sample_weights_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_sample_weights_list] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_sample_weights_shape] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_sample_weights_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_fit_returns_self] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_complex_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_dtype_object] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_empty_data_messages] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_pipeline_consistency] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_nan_inf] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_overwrite_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimator_sparse_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_estimators_pickle] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_predict1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_methods_subset_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1sample] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_get_params_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_set_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_dict_unchanged] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_dont_overwrite_parameters] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit_idempotent] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_n_features_in] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_no_attributes_set_in_init] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_dtypes] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit_score_takes_y] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_sample_weights_pandas_series] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_sample_weights_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_sample_weights_list] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_sample_weights_shape] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_sample_weights_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_fit_returns_self] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_complex_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_dtype_object] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_empty_data_messages] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_pipeline_consistency] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_nan_inf] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_overwrite_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimator_sparse_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_pickle] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifier_data_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_one_label] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_classes] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_partial_fit_n_features] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifier_multioutput] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_train] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_classifiers_regression_target] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_supervised_y_no_nan] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_supervised_y_2d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_estimators_unfitted] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_class_weight_classifiers] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_decision_proba_consistency] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit2d_predict1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_methods_subset_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit2d_1sample] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit2d_1feature] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit1d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_get_params_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_set_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_dict_unchanged] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_dont_overwrite_parameters] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_fit_idempotent] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_n_features_in] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeClassifier()-check_requires_y_none] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_no_attributes_set_in_init] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_dtypes] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit_score_takes_y] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_sample_weights_pandas_series] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_sample_weights_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_sample_weights_list] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_sample_weights_shape] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_sample_weights_invariance] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_fit_returns_self] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_complex_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_dtype_object] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_empty_data_messages] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_pipeline_consistency] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_nan_inf] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_overwrite_params] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimator_sparse_data] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_pickle] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressors_train] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressor_data_not_an_array] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_partial_fit_n_features] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressor_multioutput] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressors_no_decision_function] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_supervised_y_2d] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_supervised_y_no_nan] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_regressors_int] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_estimators_unfitted] PASSED [ 55%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit2d_predict1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_methods_subset_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit2d_1sample] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit2d_1feature] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_get_params_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_set_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_dict_unchanged] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_dont_overwrite_parameters] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_fit_idempotent] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_n_features_in] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreeRegressor()-check_requires_y_none] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_no_attributes_set_in_init] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_dtypes] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit_score_takes_y] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_sample_weights_pandas_series] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_sample_weights_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_sample_weights_list] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_sample_weights_shape] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_sample_weights_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_fit_returns_self] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_complex_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_dtype_object] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_empty_data_messages] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_pipeline_consistency] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_nan_inf] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_overwrite_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimator_sparse_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_pickle] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifier_data_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_one_label] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_classes] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_partial_fit_n_features] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifier_multioutput] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_train] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_classifiers_regression_target] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_supervised_y_no_nan] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_supervised_y_2d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_estimators_unfitted] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_class_weight_classifiers] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_decision_proba_consistency] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit2d_predict1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_methods_subset_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit2d_1sample] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit2d_1feature] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_get_params_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_set_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_dict_unchanged] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_dont_overwrite_parameters] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_fit_idempotent] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_n_features_in] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesClassifier()-check_requires_y_none] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_no_attributes_set_in_init] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_dtypes] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit_score_takes_y] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_sample_weights_pandas_series] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_sample_weights_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_sample_weights_list] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_sample_weights_shape] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_sample_weights_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_fit_returns_self] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_complex_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_dtype_object] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_empty_data_messages] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_pipeline_consistency] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_nan_inf] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_overwrite_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimator_sparse_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_pickle] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressors_train] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressor_data_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_partial_fit_n_features] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressor_multioutput] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressors_no_decision_function] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_supervised_y_2d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_supervised_y_no_nan] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_regressors_int] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_estimators_unfitted] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit2d_predict1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_methods_subset_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit2d_1sample] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit2d_1feature] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_get_params_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_set_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_dict_unchanged] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_dont_overwrite_parameters] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_fit_idempotent] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_n_features_in] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[ExtraTreesRegressor()-check_requires_y_none] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_no_attributes_set_in_init] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_dtypes] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit_score_takes_y] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_sample_weights_pandas_series] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_sample_weights_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_sample_weights_list] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_sample_weights_shape] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_sample_weights_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_fit_returns_self] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_complex_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_dtype_object] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_empty_data_messages] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_pipeline_consistency] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_nan_inf] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_overwrite_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimator_sparse_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_estimators_pickle] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_transformer_data_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_transformer_general] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_transformer_general(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_transformers_unfitted] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_transformer_n_iter] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit2d_predict1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_methods_subset_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit2d_1sample] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit2d_1feature] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit1d] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_get_params_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_set_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_dict_unchanged] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_dont_overwrite_parameters] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_fit_idempotent] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FactorAnalysis()-check_n_features_in] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_no_attributes_set_in_init] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_dtypes] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit_score_takes_y] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_sample_weights_pandas_series] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_sample_weights_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_sample_weights_list] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_sample_weights_shape] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_sample_weights_invariance] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_fit_returns_self] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_complex_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_dtype_object] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_empty_data_messages] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_pipeline_consistency] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_nan_inf] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_overwrite_params] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimator_sparse_data] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_estimators_pickle] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_transformer_data_not_an_array] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_transformer_general] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_transformer_general(readonly_memmap=True)] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_transformers_unfitted] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_transformer_n_iter] PASSED [ 56%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1sample] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_get_params_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_set_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit_idempotent] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FastICA()-check_n_features_in] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_no_attributes_set_in_init] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_dtypes] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit_score_takes_y] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_sample_weights_pandas_series] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_sample_weights_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_sample_weights_list] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_sample_weights_shape] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_sample_weights_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_fit_returns_self] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_complex_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_dtype_object] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_empty_data_messages] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_pipeline_consistency] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_nan_inf] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_overwrite_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimator_sparse_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_estimators_pickle] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_transformer_data_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_transformer_general] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_transformer_general(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_transformers_unfitted] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_transformer_n_iter] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_clusterer_compute_labels_predict] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_non_transformer_estimators_n_iter] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit2d_predict1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_methods_subset_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit2d_1sample] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit2d_1feature] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_get_params_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_set_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_dict_unchanged] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_dont_overwrite_parameters] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_fit_idempotent] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FeatureAgglomeration()-check_n_features_in] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_no_attributes_set_in_init] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimators_dtypes] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit_score_takes_y] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_sample_weights_pandas_series] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_sample_weights_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_sample_weights_list] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_sample_weights_shape] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_sample_weights_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimators_fit_returns_self] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_pipeline_consistency] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimators_overwrite_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimator_sparse_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_estimators_pickle] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_transformer_general] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_transformer_general(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_transformer_n_iter] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit2d_predict1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_methods_subset_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit2d_1sample] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit2d_1feature] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_get_params_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_set_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_dict_unchanged] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_dont_overwrite_parameters] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[FunctionTransformer()-check_fit_idempotent] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_no_attributes_set_in_init] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_dtypes] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit_score_takes_y] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_sample_weights_pandas_series] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_sample_weights_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_sample_weights_list] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_sample_weights_shape] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_sample_weights_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_fit_returns_self] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_complex_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_dtype_object] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_empty_data_messages] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_pipeline_consistency] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_nan_inf] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_overwrite_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimator_sparse_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_pickle] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressors_train] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressor_data_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_partial_fit_n_features] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressors_no_decision_function] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_supervised_y_2d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_supervised_y_no_nan] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_regressors_int] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_estimators_unfitted] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit2d_predict1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_methods_subset_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit2d_1sample] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit2d_1feature] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_get_params_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_set_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_dict_unchanged] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_dont_overwrite_parameters] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_fit_idempotent] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GammaRegressor()-check_n_features_in] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_no_attributes_set_in_init] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_dtypes] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit_score_takes_y] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_sample_weights_pandas_series] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_sample_weights_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_sample_weights_list] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_sample_weights_shape] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_sample_weights_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_fit_returns_self] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_complex_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_dtype_object] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_empty_data_messages] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_pipeline_consistency] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_nan_inf] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_overwrite_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimator_sparse_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_estimators_pickle] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit2d_predict1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_methods_subset_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit2d_1sample] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit2d_1feature] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit1d] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_get_params_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_set_params] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_dict_unchanged] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_dont_overwrite_parameters] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_fit_idempotent] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianMixture()-check_n_features_in] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_no_attributes_set_in_init] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_dtypes] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit_score_takes_y] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_sample_weights_pandas_series] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_sample_weights_not_an_array] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_sample_weights_list] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_sample_weights_shape] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_sample_weights_invariance] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_fit_returns_self] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_complex_data] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_dtype_object] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_empty_data_messages] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_pipeline_consistency] PASSED [ 57%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_nan_inf] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_overwrite_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimator_sparse_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_pickle] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifier_data_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_classes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_partial_fit_n_features] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_train] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_train(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_regression_target] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_supervised_y_no_nan] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_supervised_y_2d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_estimators_unfitted] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_non_transformer_estimators_n_iter] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_decision_proba_consistency] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit2d_predict1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_methods_subset_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit2d_1sample] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit2d_1feature] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_get_params_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_set_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_dict_unchanged] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_dont_overwrite_parameters] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_fit_idempotent] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_n_features_in] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_requires_y_none] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_no_attributes_set_in_init] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_dtypes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit_score_takes_y] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_sample_weights_pandas_series] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_sample_weights_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_sample_weights_list] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_sample_weights_shape] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_sample_weights_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_fit_returns_self] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_complex_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_dtype_object] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_empty_data_messages] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_pipeline_consistency] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_nan_inf] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_overwrite_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimator_sparse_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_pickle] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifier_data_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_one_label] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_classes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_partial_fit_n_features] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_train] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_classifiers_regression_target] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_supervised_y_no_nan] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_supervised_y_2d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_estimators_unfitted] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_decision_proba_consistency] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit2d_predict1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_methods_subset_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit2d_1sample] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit2d_1feature] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_get_params_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_set_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_dict_unchanged] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_dont_overwrite_parameters] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_fit_idempotent] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_n_features_in] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessClassifier()-check_requires_y_none] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_no_attributes_set_in_init] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_dtypes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit_score_takes_y] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_sample_weights_pandas_series] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_sample_weights_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_sample_weights_list] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_sample_weights_shape] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_sample_weights_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_fit_returns_self] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_complex_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_dtype_object] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_empty_data_messages] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_pipeline_consistency] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_nan_inf] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_overwrite_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimator_sparse_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_pickle] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressors_train] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressor_data_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_estimators_partial_fit_n_features] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressor_multioutput] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressors_no_decision_function] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_supervised_y_2d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_supervised_y_no_nan] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_regressors_int] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit2d_predict1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_methods_subset_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit2d_1sample] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit2d_1feature] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_get_params_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_set_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_dict_unchanged] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_dont_overwrite_parameters] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_fit_idempotent] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_n_features_in] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianProcessRegressor()-check_requires_y_none] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_no_attributes_set_in_init] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_dtypes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit_score_takes_y] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_sample_weights_pandas_series] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_sample_weights_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_sample_weights_list] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_sample_weights_shape] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_sample_weights_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_fit_returns_self] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_complex_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_dtype_object] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_empty_data_messages] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_pipeline_consistency] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_nan_inf] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_overwrite_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimator_sparse_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_estimators_pickle] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_transformer_data_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_transformer_general] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_transformer_general(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_transformers_unfitted] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_transformer_n_iter] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit2d_predict1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_methods_subset_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit2d_1sample] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit2d_1feature] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit1d] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_get_params_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_set_params] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_dict_unchanged] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_dont_overwrite_parameters] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_fit_idempotent] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GaussianRandomProjection()-check_n_features_in] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_no_attributes_set_in_init] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_dtypes] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit_score_takes_y] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_sample_weights_pandas_series] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_sample_weights_not_an_array] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_sample_weights_list] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_sample_weights_shape] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_sample_weights_invariance] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_fit_returns_self] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_complex_data] PASSED [ 58%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_dtype_object] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_empty_data_messages] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_pipeline_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_nan_inf] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_overwrite_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimator_sparse_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_estimators_pickle] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_transformer_data_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_transformer_general] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_transformer_general(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_transformers_unfitted] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_transformer_n_iter] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit2d_predict1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_methods_subset_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit2d_1sample] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit2d_1feature] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_get_params_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_set_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_dict_unchanged] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_dont_overwrite_parameters] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_fit_idempotent] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_n_features_in] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GenericUnivariateSelect()-check_requires_y_none] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_no_attributes_set_in_init] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_dtypes] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit_score_takes_y] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_sample_weights_pandas_series] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_sample_weights_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_sample_weights_list] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_sample_weights_shape] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_sample_weights_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_fit_returns_self] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_complex_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_dtype_object] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_empty_data_messages] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_pipeline_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_nan_inf] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_overwrite_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimator_sparse_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_pickle] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifier_data_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_one_label] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_classes] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_partial_fit_n_features] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_train] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_classifiers_regression_target] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_supervised_y_no_nan] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_supervised_y_2d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_estimators_unfitted] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_decision_proba_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit2d_predict1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_methods_subset_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit2d_1sample] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit2d_1feature] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_get_params_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_set_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_dict_unchanged] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_dont_overwrite_parameters] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_fit_idempotent] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_n_features_in] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingClassifier()-check_requires_y_none] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_no_attributes_set_in_init] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_dtypes] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit_score_takes_y] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_sample_weights_pandas_series] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_sample_weights_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_sample_weights_list] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_sample_weights_shape] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_sample_weights_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_fit_returns_self] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_complex_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_dtype_object] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_empty_data_messages] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_pipeline_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_nan_inf] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_overwrite_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimator_sparse_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_pickle] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressors_train] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressor_data_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_partial_fit_n_features] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressors_no_decision_function] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_supervised_y_2d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_supervised_y_no_nan] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_regressors_int] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_estimators_unfitted] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit2d_predict1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_methods_subset_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit2d_1sample] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit2d_1feature] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_get_params_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_set_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_dict_unchanged] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_dont_overwrite_parameters] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_fit_idempotent] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_n_features_in] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GradientBoostingRegressor()-check_requires_y_none] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_no_attributes_set_in_init] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_dtypes] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit_score_takes_y] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_sample_weights_pandas_series] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_sample_weights_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_sample_weights_list] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_sample_weights_shape] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_sample_weights_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_fit_returns_self] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_complex_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_dtype_object] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_empty_data_messages] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_pipeline_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_nan_inf] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_overwrite_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimator_sparse_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_estimators_pickle] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit2d_predict1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_methods_subset_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit2d_1sample] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit2d_1feature] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_get_params_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_set_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_dict_unchanged] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_dont_overwrite_parameters] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_fit_idempotent] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLasso()-check_n_features_in] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_no_attributes_set_in_init] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_dtypes] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit_score_takes_y] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_sample_weights_pandas_series] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_sample_weights_not_an_array] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_sample_weights_list] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_sample_weights_shape] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_sample_weights_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_fit_returns_self] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_complex_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_dtype_object] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_empty_data_messages] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_pipeline_consistency] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_nan_inf] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_overwrite_params] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimator_sparse_data] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_estimators_pickle] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit2d_predict1d] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_methods_subset_invariance] PASSED [ 59%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit2d_1sample] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit2d_1feature] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_get_params_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_set_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_dict_unchanged] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_dont_overwrite_parameters] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_fit_idempotent] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[GraphicalLassoCV()-check_n_features_in] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_no_attributes_set_in_init] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_dtypes] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit_score_takes_y] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_sample_weights_pandas_series] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_sample_weights_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_sample_weights_list] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_sample_weights_shape] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_sample_weights_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_fit_returns_self] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_complex_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_dtype_object] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_empty_data_messages] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_pipeline_consistency] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_overwrite_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimator_sparse_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_pickle] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifier_data_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_one_label] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_classes] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_partial_fit_n_features] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_train] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_classifiers_regression_target] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_supervised_y_no_nan] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_supervised_y_2d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_estimators_unfitted] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_decision_proba_consistency] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit2d_predict1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_methods_subset_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit2d_1sample] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit2d_1feature] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_get_params_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_set_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_dict_unchanged] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_dont_overwrite_parameters] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_fit_idempotent] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingClassifier()-check_n_features_in] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_no_attributes_set_in_init] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_dtypes] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit_score_takes_y] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_sample_weights_pandas_series] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_sample_weights_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_sample_weights_list] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_sample_weights_shape] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_sample_weights_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_fit_returns_self] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_complex_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_dtype_object] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_empty_data_messages] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_pipeline_consistency] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_overwrite_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimator_sparse_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_pickle] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressors_train] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressor_data_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_partial_fit_n_features] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressors_no_decision_function] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_supervised_y_2d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_supervised_y_no_nan] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_regressors_int] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_estimators_unfitted] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit2d_predict1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_methods_subset_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit2d_1sample] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit2d_1feature] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_get_params_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_set_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_dict_unchanged] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_dont_overwrite_parameters] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_fit_idempotent] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_n_features_in] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HistGradientBoostingRegressor()-check_requires_y_none] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_no_attributes_set_in_init] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_dtypes] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit_score_takes_y] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_sample_weights_pandas_series] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_sample_weights_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_sample_weights_list] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_sample_weights_shape] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_sample_weights_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_fit_returns_self] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_complex_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_dtype_object] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_empty_data_messages] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_pipeline_consistency] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_nan_inf] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_overwrite_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimator_sparse_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_pickle] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressors_train] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressor_data_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_partial_fit_n_features] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressors_no_decision_function] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_supervised_y_2d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_supervised_y_no_nan] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_regressors_int] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_estimators_unfitted] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit2d_predict1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_methods_subset_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit2d_1sample] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit2d_1feature] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_get_params_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_set_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_dict_unchanged] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_dont_overwrite_parameters] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_fit_idempotent] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_n_features_in] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[HuberRegressor()-check_requires_y_none] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_no_attributes_set_in_init] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_dtypes] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit_score_takes_y] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_sample_weights_pandas_series] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_sample_weights_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_sample_weights_list] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_sample_weights_shape] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_sample_weights_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_fit_returns_self] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_complex_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_dtype_object] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_empty_data_messages] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_pipeline_consistency] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_nan_inf] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_overwrite_params] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimator_sparse_data] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_estimators_pickle] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_transformer_data_not_an_array] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_transformer_general] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_transformers_unfitted] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_transformer_n_iter] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit2d_predict1d] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_methods_subset_invariance] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit2d_1sample] PASSED [ 60%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit2d_1feature] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_get_params_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_set_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_dict_unchanged] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_dont_overwrite_parameters] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_fit_idempotent] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IncrementalPCA()-check_n_features_in] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_no_attributes_set_in_init] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_dtypes] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit_score_takes_y] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_sample_weights_pandas_series] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_sample_weights_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_sample_weights_list] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_sample_weights_shape] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_sample_weights_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_fit_returns_self] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_complex_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_dtype_object] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_empty_data_messages] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_pipeline_consistency] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_nan_inf] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_overwrite_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimator_sparse_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_pickle] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_outliers_fit_predict] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_outliers_train] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_outliers_train(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_classifier_data_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_estimators_unfitted] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit2d_predict1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_methods_subset_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit2d_1sample] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit2d_1feature] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_get_params_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_set_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_dict_unchanged] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_dont_overwrite_parameters] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_fit_idempotent] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IsolationForest()-check_n_features_in] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_no_attributes_set_in_init] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_dtypes] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit_score_takes_y] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_sample_weights_pandas_series] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_sample_weights_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_sample_weights_list] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_sample_weights_shape] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_sample_weights_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_fit_returns_self] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_complex_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_dtype_object] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_empty_data_messages] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_pipeline_consistency] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_nan_inf] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_overwrite_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimator_sparse_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_estimators_pickle] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_transformer_data_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_transformer_general] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_transformer_general(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_transformers_unfitted] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit2d_predict1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_methods_subset_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit2d_1sample] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit2d_1feature] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_get_params_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_set_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_dict_unchanged] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_dont_overwrite_parameters] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_fit_idempotent] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[Isomap()-check_n_features_in] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_no_attributes_set_in_init] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_dtypes] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit_score_takes_y] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_sample_weights_pandas_series] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_sample_weights_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_sample_weights_list] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_sample_weights_shape] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_sample_weights_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_fit_returns_self] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_complex_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_dtype_object] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_empty_data_messages] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_pipeline_consistency] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_overwrite_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimator_sparse_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_estimators_pickle] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_transformer_data_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_transformer_general] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_transformer_general(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_transformers_unfitted] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_transformer_n_iter] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit2d_predict1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_methods_subset_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit2d_1sample] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit2d_1feature] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_get_params_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_set_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_dict_unchanged] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_dont_overwrite_parameters] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_fit_idempotent] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[IterativeImputer()-check_n_features_in] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_no_attributes_set_in_init] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_dtypes] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit_score_takes_y] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_sample_weights_pandas_series] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_sample_weights_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_sample_weights_list] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_sample_weights_shape] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_sample_weights_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_fit_returns_self] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_complex_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_dtype_object] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_empty_data_messages] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_pipeline_consistency] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_nan_inf] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_overwrite_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimator_sparse_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_estimators_pickle] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_transformer_data_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_transformer_general] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_transformer_general(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_transformers_unfitted] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_transformer_n_iter] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit2d_predict1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_methods_subset_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit2d_1sample] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit2d_1feature] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit1d] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_get_params_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_set_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_dict_unchanged] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_dont_overwrite_parameters] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_fit_idempotent] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KBinsDiscretizer()-check_n_features_in] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_no_attributes_set_in_init] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_dtypes] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit_score_takes_y] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_sample_weights_pandas_series] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_sample_weights_not_an_array] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_sample_weights_list] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_sample_weights_shape] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_sample_weights_invariance] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_fit_returns_self] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_complex_data] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_dtype_object] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_empty_data_messages] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_pipeline_consistency] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_nan_inf] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_overwrite_params] PASSED [ 61%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimator_sparse_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_pickle] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_transformer_data_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_transformer_general] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_transformer_general(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_transformers_unfitted] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_transformer_n_iter] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_clusterer_compute_labels_predict] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_clustering] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_clustering(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_estimators_partial_fit_n_features] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_non_transformer_estimators_n_iter] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit2d_predict1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_methods_subset_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit2d_1sample] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit2d_1feature] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_get_params_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_set_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_dict_unchanged] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_dont_overwrite_parameters] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_fit_idempotent] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KMeans()-check_n_features_in] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_no_attributes_set_in_init] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_dtypes] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit_score_takes_y] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_sample_weights_pandas_series] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_sample_weights_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_sample_weights_list] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_sample_weights_shape] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_sample_weights_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_fit_returns_self] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_complex_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_dtype_object] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_empty_data_messages] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_pipeline_consistency] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_overwrite_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimator_sparse_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_estimators_pickle] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_transformer_data_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_transformer_general] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_transformer_general(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_transformers_unfitted] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_transformer_n_iter] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit2d_predict1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_methods_subset_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit2d_1sample] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit2d_1feature] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_get_params_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_set_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_dict_unchanged] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_dont_overwrite_parameters] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_fit_idempotent] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNNImputer()-check_n_features_in] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_no_attributes_set_in_init] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_dtypes] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit_score_takes_y] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_sample_weights_pandas_series] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_sample_weights_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_sample_weights_list] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_sample_weights_shape] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_sample_weights_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_fit_returns_self] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_complex_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_dtype_object] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_empty_data_messages] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_pipeline_consistency] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_nan_inf] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_overwrite_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimator_sparse_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_pickle] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifier_data_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_one_label] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_classes] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_partial_fit_n_features] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifier_multioutput] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_train] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_classifiers_regression_target] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_supervised_y_no_nan] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_supervised_y_2d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_estimators_unfitted] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_decision_proba_consistency] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit2d_predict1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_methods_subset_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit2d_1sample] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit2d_1feature] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_get_params_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_set_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_dict_unchanged] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_dont_overwrite_parameters] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_fit_idempotent] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsClassifier()-check_n_features_in] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_no_attributes_set_in_init] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_dtypes] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit_score_takes_y] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_sample_weights_pandas_series] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_sample_weights_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_sample_weights_list] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_sample_weights_shape] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_sample_weights_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_fit_returns_self] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_complex_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_dtype_object] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_empty_data_messages] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_pipeline_consistency] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_nan_inf] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_overwrite_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimator_sparse_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_pickle] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressors_train] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressor_data_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_partial_fit_n_features] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressor_multioutput] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressors_no_decision_function] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_supervised_y_2d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_supervised_y_no_nan] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_regressors_int] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_estimators_unfitted] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit2d_predict1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_methods_subset_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit2d_1sample] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit2d_1feature] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit1d] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_get_params_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_set_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_dict_unchanged] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_dont_overwrite_parameters] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_fit_idempotent] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsRegressor()-check_n_features_in] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_no_attributes_set_in_init] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_dtypes] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit_score_takes_y] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_sample_weights_pandas_series] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_sample_weights_not_an_array] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_sample_weights_list] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_sample_weights_shape] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_sample_weights_invariance] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_fit_returns_self] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_complex_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_dtype_object] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_empty_data_messages] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_pipeline_consistency] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_nan_inf] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_overwrite_params] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimator_sparse_data] PASSED [ 62%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_estimators_pickle] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_transformer_data_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_transformer_general] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_transformer_general(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_transformers_unfitted] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_transformer_n_iter] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit2d_predict1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_methods_subset_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit2d_1sample] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit2d_1feature] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_get_params_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_set_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_dict_unchanged] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_dont_overwrite_parameters] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_fit_idempotent] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KNeighborsTransformer()-check_n_features_in] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_no_attributes_set_in_init] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_dtypes] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit_score_takes_y] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_sample_weights_pandas_series] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_sample_weights_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_sample_weights_list] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_sample_weights_shape] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_sample_weights_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_fit_returns_self] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_complex_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_dtype_object] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_empty_data_messages] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_pipeline_consistency] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_nan_inf] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_nonsquare_error] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_overwrite_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimator_sparse_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_estimators_pickle] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_transformer_data_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_transformer_general] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_transformer_general(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_transformers_unfitted] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_transformer_n_iter] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit2d_predict1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_methods_subset_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit2d_1sample] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit2d_1feature] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_get_params_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_set_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_dict_unchanged] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_dont_overwrite_parameters] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_fit_idempotent] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelCenterer()-check_n_features_in] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_no_attributes_set_in_init] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_dtypes] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit_score_takes_y] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_sample_weights_pandas_series] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_sample_weights_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_sample_weights_list] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_sample_weights_shape] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_sample_weights_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_fit_returns_self] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_complex_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_dtype_object] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_empty_data_messages] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_pipeline_consistency] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_nan_inf] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_overwrite_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimator_sparse_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_estimators_pickle] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit2d_predict1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_methods_subset_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit2d_1sample] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit2d_1feature] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_get_params_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_set_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_dict_unchanged] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_dont_overwrite_parameters] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_fit_idempotent] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelDensity()-check_n_features_in] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_no_attributes_set_in_init] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_dtypes] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit_score_takes_y] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_sample_weights_pandas_series] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_sample_weights_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_sample_weights_list] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_sample_weights_shape] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_sample_weights_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_fit_returns_self] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_complex_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_dtype_object] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_empty_data_messages] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_pipeline_consistency] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_nan_inf] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_overwrite_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimator_sparse_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_estimators_pickle] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_transformer_data_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_transformer_general] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_transformers_unfitted] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_predict1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_methods_subset_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1feature] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_get_params_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_set_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_dict_unchanged] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_dont_overwrite_parameters] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit_idempotent] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_n_features_in] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_no_attributes_set_in_init] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_dtypes] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit_score_takes_y] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_sample_weights_pandas_series] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_sample_weights_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_sample_weights_list] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_sample_weights_shape] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_sample_weights_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_fit_returns_self] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_complex_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_dtype_object] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_empty_data_messages] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_pipeline_consistency] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_nan_inf] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_overwrite_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimator_sparse_data] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_pickle] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressors_train] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressors_train(readonly_memmap=True)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressor_data_not_an_array] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_partial_fit_n_features] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressor_multioutput] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressors_no_decision_function] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_supervised_y_2d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_supervised_y_no_nan] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_regressors_int] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_estimators_unfitted] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_non_transformer_estimators_n_iter] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit2d_predict1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_methods_subset_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit2d_1sample] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit2d_1feature] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit1d] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_get_params_invariance] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_set_params] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_dict_unchanged] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_dont_overwrite_parameters] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_fit_idempotent] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_n_features_in] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[KernelRidge()-check_requires_y_none] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_no_attributes_set_in_init] PASSED [ 63%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_dtypes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit_score_takes_y] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_sample_weights_pandas_series] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_sample_weights_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_sample_weights_list] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_sample_weights_shape] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_sample_weights_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_fit_returns_self] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_complex_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_dtype_object] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_empty_data_messages] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_pipeline_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_nan_inf] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_overwrite_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimator_sparse_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_pickle] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifier_data_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_one_label] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_classes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_partial_fit_n_features] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_train] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_train(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_classifiers_regression_target] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_supervised_y_no_nan] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_supervised_y_2d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_estimators_unfitted] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_non_transformer_estimators_n_iter] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_decision_proba_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit2d_predict1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_methods_subset_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit2d_1sample] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit2d_1feature] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_get_params_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_set_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_dict_unchanged] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_dont_overwrite_parameters] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_fit_idempotent] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_n_features_in] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelPropagation()-check_requires_y_none] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_no_attributes_set_in_init] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_dtypes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit_score_takes_y] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_sample_weights_pandas_series] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_sample_weights_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_sample_weights_list] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_sample_weights_shape] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_sample_weights_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_fit_returns_self] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_complex_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_dtype_object] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_empty_data_messages] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_pipeline_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_nan_inf] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_overwrite_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimator_sparse_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_pickle] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifier_data_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_one_label] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_classes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_partial_fit_n_features] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_train] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_train(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_classifiers_regression_target] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_supervised_y_no_nan] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_supervised_y_2d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_estimators_unfitted] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_non_transformer_estimators_n_iter] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_decision_proba_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit2d_predict1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_methods_subset_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit2d_1sample] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit2d_1feature] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_get_params_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_set_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_dict_unchanged] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_dont_overwrite_parameters] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_fit_idempotent] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_n_features_in] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LabelSpreading()-check_requires_y_none] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_no_attributes_set_in_init] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_dtypes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit_score_takes_y] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_sample_weights_pandas_series] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_sample_weights_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_sample_weights_list] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_sample_weights_shape] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_sample_weights_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_fit_returns_self] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_complex_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_dtype_object] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_empty_data_messages] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_pipeline_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_nan_inf] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_overwrite_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimator_sparse_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_pickle] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressors_train] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressors_train(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressor_data_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_partial_fit_n_features] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressor_multioutput] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressors_no_decision_function] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_supervised_y_2d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_supervised_y_no_nan] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_regressors_int] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_estimators_unfitted] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_non_transformer_estimators_n_iter] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit2d_predict1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_methods_subset_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit2d_1sample] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit2d_1feature] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_get_params_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_set_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_dict_unchanged] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_dont_overwrite_parameters] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_fit_idempotent] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_n_features_in] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[Lars()-check_requires_y_none] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_no_attributes_set_in_init] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_dtypes] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit_score_takes_y] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_sample_weights_pandas_series] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_sample_weights_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_sample_weights_list] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_sample_weights_shape] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_sample_weights_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_fit_returns_self] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_complex_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_dtype_object] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_empty_data_messages] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_pipeline_consistency] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_nan_inf] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_overwrite_params] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimator_sparse_data] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_pickle] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressors_train] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressor_data_not_an_array] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_partial_fit_n_features] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressors_no_decision_function] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_supervised_y_2d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_supervised_y_no_nan] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_regressors_int] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_estimators_unfitted] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_non_transformer_estimators_n_iter] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit2d_predict1d] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_methods_subset_invariance] PASSED [ 64%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit2d_1sample] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit2d_1feature] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_get_params_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_set_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_dict_unchanged] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_dont_overwrite_parameters] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_fit_idempotent] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_n_features_in] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LarsCV()-check_requires_y_none] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_no_attributes_set_in_init] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_dtypes] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit_score_takes_y] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_sample_weights_pandas_series] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_sample_weights_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_sample_weights_list] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_sample_weights_shape] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_sample_weights_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_fit_returns_self] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_complex_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_dtype_object] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_empty_data_messages] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_pipeline_consistency] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_nan_inf] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_overwrite_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimator_sparse_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_pickle] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressors_train] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressors_train(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressor_data_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_partial_fit_n_features] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressor_multioutput] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressors_no_decision_function] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_supervised_y_2d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_supervised_y_no_nan] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_regressors_int] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_estimators_unfitted] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_non_transformer_estimators_n_iter] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit2d_predict1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_methods_subset_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit2d_1sample] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit2d_1feature] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_get_params_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_set_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_dict_unchanged] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_dont_overwrite_parameters] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_fit_idempotent] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_n_features_in] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[Lasso()-check_requires_y_none] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_no_attributes_set_in_init] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_dtypes] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit_score_takes_y] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_sample_weights_pandas_series] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_sample_weights_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_sample_weights_list] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_sample_weights_shape] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_sample_weights_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_fit_returns_self] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_complex_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_dtype_object] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_empty_data_messages] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_pipeline_consistency] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_nan_inf] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_overwrite_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimator_sparse_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_pickle] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressors_train] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressor_data_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_partial_fit_n_features] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressors_no_decision_function] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_supervised_y_2d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_supervised_y_no_nan] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_regressors_int] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_estimators_unfitted] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_non_transformer_estimators_n_iter] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit2d_predict1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_methods_subset_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit2d_1sample] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit2d_1feature] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_get_params_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_set_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_dict_unchanged] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_dont_overwrite_parameters] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_fit_idempotent] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_n_features_in] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoCV()-check_requires_y_none] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_no_attributes_set_in_init] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_dtypes] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit_score_takes_y] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_sample_weights_pandas_series] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_sample_weights_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_sample_weights_list] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_sample_weights_shape] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_sample_weights_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_fit_returns_self] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_complex_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_dtype_object] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_empty_data_messages] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_pipeline_consistency] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_nan_inf] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_overwrite_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimator_sparse_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_pickle] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressors_train] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressors_train(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressor_data_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_partial_fit_n_features] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressor_multioutput] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressors_no_decision_function] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_supervised_y_2d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_supervised_y_no_nan] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_regressors_int] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_estimators_unfitted] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_non_transformer_estimators_n_iter] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit2d_predict1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_methods_subset_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit2d_1sample] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit2d_1feature] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit1d] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_get_params_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_set_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_dict_unchanged] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_dont_overwrite_parameters] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_fit_idempotent] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_n_features_in] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLars()-check_requires_y_none] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_no_attributes_set_in_init] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_dtypes] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit_score_takes_y] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_sample_weights_pandas_series] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_sample_weights_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_sample_weights_list] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_sample_weights_shape] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_sample_weights_invariance] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_fit_returns_self] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_complex_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_dtype_object] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_empty_data_messages] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_pipeline_consistency] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_nan_inf] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_overwrite_params] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimator_sparse_data] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_pickle] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressors_train] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressor_data_not_an_array] PASSED [ 65%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_partial_fit_n_features] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressors_no_decision_function] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_supervised_y_2d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_supervised_y_no_nan] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_regressors_int] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_estimators_unfitted] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_non_transformer_estimators_n_iter] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit2d_predict1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_methods_subset_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit2d_1sample] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit2d_1feature] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_get_params_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_set_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_dict_unchanged] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_dont_overwrite_parameters] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_fit_idempotent] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_n_features_in] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsCV()-check_requires_y_none] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_no_attributes_set_in_init] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_dtypes] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit_score_takes_y] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_sample_weights_pandas_series] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_sample_weights_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_sample_weights_list] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_sample_weights_shape] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_sample_weights_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_fit_returns_self] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_complex_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_dtype_object] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_empty_data_messages] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_pipeline_consistency] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_nan_inf] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_overwrite_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimator_sparse_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_pickle] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressors_train] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressors_train(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressor_data_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_partial_fit_n_features] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressors_no_decision_function] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_supervised_y_2d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_supervised_y_no_nan] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_regressors_int] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_estimators_unfitted] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_non_transformer_estimators_n_iter] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit2d_predict1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_methods_subset_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit2d_1sample] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit2d_1feature] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_get_params_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_set_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_dict_unchanged] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_dont_overwrite_parameters] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_fit_idempotent] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_n_features_in] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LassoLarsIC()-check_requires_y_none] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_no_attributes_set_in_init] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_dtypes] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit_score_takes_y] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_sample_weights_pandas_series] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_sample_weights_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_sample_weights_list] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_sample_weights_shape] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_sample_weights_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_fit_returns_self] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_complex_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_dtype_object] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_empty_data_messages] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_pipeline_consistency] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_nan_inf] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_overwrite_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimator_sparse_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_estimators_pickle] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_transformer_data_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_transformer_general] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_transformer_general(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_transformers_unfitted] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_transformer_n_iter] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit2d_predict1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_methods_subset_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit2d_1sample] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit2d_1feature] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_get_params_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_set_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_dict_unchanged] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_dont_overwrite_parameters] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit_idempotent] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_n_features_in] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LatentDirichletAllocation()-check_fit_non_negative] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_no_attributes_set_in_init] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_dtypes] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit_score_takes_y] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_sample_weights_pandas_series] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_sample_weights_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_sample_weights_list] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_sample_weights_shape] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_sample_weights_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_fit_returns_self] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_complex_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_dtype_object] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_empty_data_messages] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_pipeline_consistency] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_nan_inf] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_overwrite_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimator_sparse_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_estimators_pickle] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_predict1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_methods_subset_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1sample] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit1d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_get_params_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_set_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_dict_unchanged] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_dont_overwrite_parameters] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit_idempotent] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_n_features_in] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_no_attributes_set_in_init] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_dtypes] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit_score_takes_y] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_sample_weights_pandas_series] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_sample_weights_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_sample_weights_list] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_sample_weights_shape] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_sample_weights_invariance] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_fit_returns_self] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_complex_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_dtype_object] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_empty_data_messages] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_pipeline_consistency] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_nan_inf] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_overwrite_params] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimator_sparse_data] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_pickle] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifier_data_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_one_label] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_classes] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_partial_fit_n_features] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_train] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_train(readonly_memmap=True)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_classifiers_regression_target] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_supervised_y_no_nan] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_supervised_y_2d] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_estimators_unfitted] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_non_transformer_estimators_n_iter] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_decision_proba_consistency] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_transformer_data_not_an_array] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_transformer_general] PASSED [ 66%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_transformer_general(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_transformers_unfitted] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_transformer_n_iter] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit2d_predict1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_methods_subset_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit2d_1sample] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit2d_1feature] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_get_params_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_set_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_dict_unchanged] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_dont_overwrite_parameters] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_fit_idempotent] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearDiscriminantAnalysis()-check_n_features_in] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_no_attributes_set_in_init] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_dtypes] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit_score_takes_y] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_sample_weights_pandas_series] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_sample_weights_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_sample_weights_list] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_sample_weights_shape] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_sample_weights_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_fit_returns_self] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_complex_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_dtype_object] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_empty_data_messages] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_pipeline_consistency] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_nan_inf] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_overwrite_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimator_sparse_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_pickle] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressors_train] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressors_train(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressor_data_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_partial_fit_n_features] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressor_multioutput] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressors_no_decision_function] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_supervised_y_2d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_supervised_y_no_nan] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_regressors_int] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_estimators_unfitted] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_non_transformer_estimators_n_iter] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit2d_predict1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_methods_subset_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit2d_1sample] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit2d_1feature] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_get_params_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_set_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_dict_unchanged] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_dont_overwrite_parameters] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_fit_idempotent] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_n_features_in] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearRegression()-check_requires_y_none] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_no_attributes_set_in_init] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_dtypes] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit_score_takes_y] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sample_weights_pandas_series] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sample_weights_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sample_weights_list] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sample_weights_shape] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sample_weights_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_fit_returns_self] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_complex_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_dtype_object] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_empty_data_messages] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_pipeline_consistency] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_nan_inf] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_overwrite_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_sparsify_coefficients] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimator_sparse_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_pickle] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifier_data_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_one_label] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_classes] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_partial_fit_n_features] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_train] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_train(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_classifiers_regression_target] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_supervised_y_no_nan] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_supervised_y_2d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_estimators_unfitted] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_class_weight_classifiers] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_non_transformer_estimators_n_iter] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_decision_proba_consistency] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit2d_predict1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_methods_subset_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit2d_1sample] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit2d_1feature] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_get_params_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_set_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_dict_unchanged] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_dont_overwrite_parameters] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_fit_idempotent] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVC()-check_n_features_in] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_no_attributes_set_in_init] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_dtypes] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit_score_takes_y] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_sample_weights_pandas_series] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_sample_weights_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_sample_weights_list] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_sample_weights_shape] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_sample_weights_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_fit_returns_self] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_complex_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_dtype_object] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_empty_data_messages] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_pipeline_consistency] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_nan_inf] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_overwrite_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimator_sparse_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_pickle] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressors_train] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressors_train(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressor_data_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_partial_fit_n_features] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressors_no_decision_function] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_supervised_y_2d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_supervised_y_no_nan] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_regressors_int] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_estimators_unfitted] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_non_transformer_estimators_n_iter] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit2d_predict1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_methods_subset_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit2d_1sample] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit2d_1feature] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit1d] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_get_params_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_set_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_dict_unchanged] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_dont_overwrite_parameters] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_fit_idempotent] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_n_features_in] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LinearSVR()-check_requires_y_none] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_no_attributes_set_in_init] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_dtypes] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit_score_takes_y] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_sample_weights_pandas_series] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_sample_weights_not_an_array] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_sample_weights_list] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_sample_weights_shape] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_sample_weights_invariance] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_fit_returns_self] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_complex_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_dtype_object] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_empty_data_messages] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_pipeline_consistency] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_nan_inf] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_overwrite_params] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimator_sparse_data] PASSED [ 67%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_estimators_pickle] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_outliers_fit_predict] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit2d_predict1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_methods_subset_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit2d_1sample] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit2d_1feature] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_get_params_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_set_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_dict_unchanged] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_dont_overwrite_parameters] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_fit_idempotent] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocalOutlierFactor()-check_n_features_in] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_no_attributes_set_in_init] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_dtypes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit_score_takes_y] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_sample_weights_pandas_series] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_sample_weights_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_sample_weights_list] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_sample_weights_shape] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_sample_weights_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_fit_returns_self] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_complex_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_dtype_object] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_empty_data_messages] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_pipeline_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_nan_inf] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_overwrite_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimator_sparse_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_estimators_pickle] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_transformer_data_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_transformer_general] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_transformer_general(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_transformers_unfitted] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit2d_predict1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_methods_subset_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit2d_1sample] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit2d_1feature] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_get_params_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_set_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_dict_unchanged] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_dont_overwrite_parameters] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_fit_idempotent] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LocallyLinearEmbedding()-check_n_features_in] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_no_attributes_set_in_init] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_dtypes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit_score_takes_y] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sample_weights_pandas_series] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sample_weights_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sample_weights_list] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sample_weights_shape] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sample_weights_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_fit_returns_self] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_complex_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_dtype_object] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_empty_data_messages] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_pipeline_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_nan_inf] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_overwrite_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_sparsify_coefficients] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimator_sparse_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_pickle] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifier_data_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_one_label] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_classes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_partial_fit_n_features] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_train] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_train(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_classifiers_regression_target] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_supervised_y_no_nan] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_supervised_y_2d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_estimators_unfitted] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_class_weight_classifiers] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_non_transformer_estimators_n_iter] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_decision_proba_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit2d_predict1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_methods_subset_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit2d_1sample] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit2d_1feature] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_get_params_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_set_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_dict_unchanged] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_dont_overwrite_parameters] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_fit_idempotent] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegression()-check_n_features_in] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_no_attributes_set_in_init] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_dtypes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit_score_takes_y] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sample_weights_pandas_series] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sample_weights_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sample_weights_list] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sample_weights_shape] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sample_weights_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_fit_returns_self] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_complex_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_dtype_object] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_empty_data_messages] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_pipeline_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_nan_inf] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_overwrite_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_sparsify_coefficients] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimator_sparse_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_pickle] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifier_data_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_one_label] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_classes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_partial_fit_n_features] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_train] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_train(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_classifiers_regression_target] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_supervised_y_no_nan] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_supervised_y_2d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_estimators_unfitted] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_class_weight_classifiers] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_non_transformer_estimators_n_iter] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_decision_proba_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit2d_predict1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_methods_subset_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit2d_1sample] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit2d_1feature] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_get_params_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_set_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_dict_unchanged] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_dont_overwrite_parameters] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_fit_idempotent] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[LogisticRegressionCV()-check_n_features_in] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_no_attributes_set_in_init] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_dtypes] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit_score_takes_y] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_sample_weights_pandas_series] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_sample_weights_not_an_array] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_sample_weights_list] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_sample_weights_shape] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_sample_weights_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_fit_returns_self] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_complex_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_dtype_object] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_empty_data_messages] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_pipeline_consistency] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_nan_inf] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_overwrite_params] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimator_sparse_data] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_estimators_pickle] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit2d_predict1d] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_methods_subset_invariance] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit2d_1sample] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit2d_1feature] PASSED [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit1d] PASSED  [ 68%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_get_params_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_set_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_dict_unchanged] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_dont_overwrite_parameters] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_fit_idempotent] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MDS()-check_n_features_in] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_no_attributes_set_in_init] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_dtypes] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit_score_takes_y] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_sample_weights_pandas_series] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_sample_weights_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_sample_weights_list] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_sample_weights_shape] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_sample_weights_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_fit_returns_self] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_complex_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_dtype_object] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_empty_data_messages] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_pipeline_consistency] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_nan_inf] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_overwrite_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimator_sparse_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_pickle] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifier_data_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_one_label] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_classes] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_partial_fit_n_features] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_train] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_classifiers_regression_target] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_supervised_y_no_nan] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_supervised_y_2d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_estimators_unfitted] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_decision_proba_consistency] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit2d_predict1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_methods_subset_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit2d_1sample] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit2d_1feature] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_get_params_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_set_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_dict_unchanged] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_dont_overwrite_parameters] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_fit_idempotent] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_n_features_in] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPClassifier()-check_requires_y_none] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_no_attributes_set_in_init] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_dtypes] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit_score_takes_y] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_sample_weights_pandas_series] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_sample_weights_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_sample_weights_list] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_sample_weights_shape] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_sample_weights_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_fit_returns_self] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_complex_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_dtype_object] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_empty_data_messages] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_pipeline_consistency] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_nan_inf] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_overwrite_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimator_sparse_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_pickle] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressors_train] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressor_data_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_partial_fit_n_features] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressors_no_decision_function] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_supervised_y_2d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_supervised_y_no_nan] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_regressors_int] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_estimators_unfitted] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit2d_predict1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_methods_subset_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit2d_1sample] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit2d_1feature] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_get_params_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_set_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_dict_unchanged] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_dont_overwrite_parameters] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_fit_idempotent] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_n_features_in] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MLPRegressor()-check_requires_y_none] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_no_attributes_set_in_init] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_dtypes] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit_score_takes_y] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_sample_weights_pandas_series] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_sample_weights_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_sample_weights_list] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_sample_weights_shape] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_sample_weights_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_fit_returns_self] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_complex_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_dtype_object] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_empty_data_messages] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_pipeline_consistency] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_overwrite_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimator_sparse_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_estimators_pickle] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_transformer_data_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_transformer_general] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_transformer_general(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_transformers_unfitted] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_transformer_n_iter] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit2d_predict1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_methods_subset_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit2d_1sample] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit2d_1feature] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_get_params_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_set_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_dict_unchanged] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_dont_overwrite_parameters] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_fit_idempotent] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MaxAbsScaler()-check_n_features_in] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_no_attributes_set_in_init] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_dtypes] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit_score_takes_y] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_sample_weights_pandas_series] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_sample_weights_not_an_array] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_sample_weights_list] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_sample_weights_shape] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_sample_weights_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_fit_returns_self] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_complex_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_dtype_object] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_empty_data_messages] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_pipeline_consistency] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_nan_inf] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_overwrite_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimator_sparse_data] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_pickle] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_clusterer_compute_labels_predict] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_clustering] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_clustering(readonly_memmap=True)] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_estimators_partial_fit_n_features] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_non_transformer_estimators_n_iter] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit2d_predict1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_methods_subset_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit2d_1sample] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit2d_1feature] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit1d] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_get_params_invariance] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_set_params] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_dict_unchanged] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_dont_overwrite_parameters] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_fit_idempotent] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MeanShift()-check_n_features_in] PASSED [ 69%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_no_attributes_set_in_init] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_dtypes] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit_score_takes_y] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_sample_weights_pandas_series] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_sample_weights_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_sample_weights_list] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_sample_weights_shape] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_sample_weights_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_fit_returns_self] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_complex_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_dtype_object] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_empty_data_messages] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_pipeline_consistency] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_nan_inf] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_overwrite_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimator_sparse_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_estimators_pickle] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_predict1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_methods_subset_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1sample] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_get_params_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_set_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_dict_unchanged] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_dont_overwrite_parameters] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit_idempotent] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_n_features_in] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_no_attributes_set_in_init] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_dtypes] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit_score_takes_y] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_sample_weights_pandas_series] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_sample_weights_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_sample_weights_list] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_sample_weights_shape] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_sample_weights_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_fit_returns_self] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_complex_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_dtype_object] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_empty_data_messages] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_pipeline_consistency] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_overwrite_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimator_sparse_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_estimators_pickle] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_transformer_data_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_transformer_general] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_transformer_general(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_transformers_unfitted] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_transformer_n_iter] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit2d_predict1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_methods_subset_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit2d_1sample] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit2d_1feature] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_get_params_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_set_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_dict_unchanged] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_dont_overwrite_parameters] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_fit_idempotent] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MinMaxScaler()-check_n_features_in] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_no_attributes_set_in_init] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_dtypes] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit_score_takes_y] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_sample_weights_pandas_series] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_sample_weights_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_sample_weights_list] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_sample_weights_shape] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_sample_weights_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_fit_returns_self] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_complex_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_dtype_object] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_empty_data_messages] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_pipeline_consistency] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_nan_inf] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_overwrite_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimator_sparse_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_estimators_pickle] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_transformer_data_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_transformer_general] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_transformer_general(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_transformers_unfitted] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_transformer_n_iter] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit2d_predict1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_methods_subset_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit2d_1sample] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit2d_1feature] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_get_params_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_set_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_dict_unchanged] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_dont_overwrite_parameters] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_fit_idempotent] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchDictionaryLearning()-check_n_features_in] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_no_attributes_set_in_init] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_dtypes] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit_score_takes_y] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_sample_weights_pandas_series] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_sample_weights_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_sample_weights_list] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_sample_weights_shape] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_sample_weights_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_fit_returns_self] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_complex_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_dtype_object] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_empty_data_messages] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_pipeline_consistency] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_nan_inf] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_overwrite_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimator_sparse_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_pickle] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_transformer_data_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_transformer_general] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_transformer_general(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_transformers_unfitted] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_transformer_n_iter] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_clusterer_compute_labels_predict] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_clustering] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_clustering(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_estimators_partial_fit_n_features] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_non_transformer_estimators_n_iter] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit2d_predict1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_methods_subset_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit2d_1sample] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit2d_1feature] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit1d] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_get_params_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_set_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_dict_unchanged] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_dont_overwrite_parameters] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_fit_idempotent] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchKMeans()-check_n_features_in] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_no_attributes_set_in_init] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_dtypes] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit_score_takes_y] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_sample_weights_pandas_series] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_sample_weights_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_sample_weights_list] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_sample_weights_shape] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_sample_weights_invariance] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_fit_returns_self] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_complex_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_dtype_object] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_empty_data_messages] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_pipeline_consistency] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_nan_inf] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_overwrite_params] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimator_sparse_data] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_estimators_pickle] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_transformer_data_not_an_array] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_transformer_general] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_transformers_unfitted] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_transformer_n_iter] PASSED [ 70%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit2d_predict1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_methods_subset_invariance] XPASS [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit2d_1sample] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit2d_1feature] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_get_params_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_set_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_dict_unchanged] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_dont_overwrite_parameters] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_fit_idempotent] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_n_features_in] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_no_attributes_set_in_init] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_dtypes] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit_score_takes_y] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_sample_weights_pandas_series] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_sample_weights_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_sample_weights_list] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_sample_weights_shape] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_sample_weights_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_fit_returns_self] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_complex_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_dtype_object] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_empty_data_messages] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_pipeline_consistency] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_overwrite_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimator_sparse_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_estimators_pickle] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_transformer_data_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_transformer_general] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_transformer_general(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_transformers_unfitted] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_transformer_n_iter] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit2d_predict1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_methods_subset_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit2d_1sample] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit2d_1feature] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_get_params_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_set_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_dict_unchanged] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_dont_overwrite_parameters] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_fit_idempotent] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MissingIndicator()-check_n_features_in] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_no_attributes_set_in_init] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_dtypes] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit_score_takes_y] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_sample_weights_pandas_series] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_sample_weights_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_sample_weights_list] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_sample_weights_shape] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_sample_weights_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_fit_returns_self] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_complex_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_dtype_object] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_empty_data_messages] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_pipeline_consistency] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_nan_inf] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_overwrite_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimator_sparse_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_pickle] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressors_train] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressors_train(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressor_data_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_partial_fit_n_features] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressors_no_decision_function] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_supervised_y_2d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_supervised_y_no_nan] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_regressors_int] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_estimators_unfitted] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_non_transformer_estimators_n_iter] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit2d_predict1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_methods_subset_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit2d_1sample] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit2d_1feature] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_get_params_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_set_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_dict_unchanged] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_dont_overwrite_parameters] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_fit_idempotent] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_n_features_in] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiOutputRegressor(estimator=Ridge())-check_requires_y_none] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_no_attributes_set_in_init] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_dtypes] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit_score_takes_y] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_sample_weights_pandas_series] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_sample_weights_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_sample_weights_list] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_sample_weights_shape] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_sample_weights_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_fit_returns_self] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_complex_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_dtype_object] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_empty_data_messages] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_pipeline_consistency] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_nan_inf] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_overwrite_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimator_sparse_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_pickle] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressors_train] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressors_train(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressor_data_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_partial_fit_n_features] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressor_multioutput] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressors_no_decision_function] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_supervised_y_2d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_supervised_y_no_nan] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_regressors_int] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_estimators_unfitted] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_non_transformer_estimators_n_iter] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit2d_predict1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_methods_subset_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit2d_1sample] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit2d_1feature] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit1d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_get_params_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_set_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_dict_unchanged] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_dont_overwrite_parameters] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_fit_idempotent] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_n_features_in] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNet()-check_requires_y_none] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_no_attributes_set_in_init] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_dtypes] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit_score_takes_y] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_sample_weights_pandas_series] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_sample_weights_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_sample_weights_list] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_sample_weights_shape] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_sample_weights_invariance] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_fit_returns_self] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_complex_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_dtype_object] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_empty_data_messages] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_pipeline_consistency] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_nan_inf] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_overwrite_params] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimator_sparse_data] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_pickle] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressors_train] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressor_data_not_an_array] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_partial_fit_n_features] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressor_multioutput] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressors_no_decision_function] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_supervised_y_2d] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_supervised_y_no_nan] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_regressors_int] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_estimators_unfitted] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_non_transformer_estimators_n_iter] PASSED [ 71%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit2d_predict1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_methods_subset_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit2d_1sample] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit2d_1feature] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_get_params_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_set_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_dict_unchanged] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_dont_overwrite_parameters] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_fit_idempotent] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_n_features_in] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskElasticNetCV()-check_requires_y_none] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_no_attributes_set_in_init] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_dtypes] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit_score_takes_y] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_sample_weights_pandas_series] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_sample_weights_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_sample_weights_list] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_sample_weights_shape] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_sample_weights_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_fit_returns_self] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_complex_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_dtype_object] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_empty_data_messages] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_pipeline_consistency] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_nan_inf] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_overwrite_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimator_sparse_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_pickle] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressors_train] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressors_train(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressor_data_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_partial_fit_n_features] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressor_multioutput] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressors_no_decision_function] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_supervised_y_2d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_supervised_y_no_nan] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_regressors_int] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_estimators_unfitted] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_non_transformer_estimators_n_iter] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit2d_predict1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_methods_subset_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit2d_1sample] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit2d_1feature] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_get_params_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_set_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_dict_unchanged] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_dont_overwrite_parameters] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_fit_idempotent] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_n_features_in] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLasso()-check_requires_y_none] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_no_attributes_set_in_init] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_dtypes] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit_score_takes_y] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_sample_weights_pandas_series] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_sample_weights_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_sample_weights_list] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_sample_weights_shape] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_sample_weights_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_fit_returns_self] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_complex_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_dtype_object] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_empty_data_messages] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_pipeline_consistency] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_nan_inf] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_overwrite_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimator_sparse_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_pickle] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressors_train] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressor_data_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_partial_fit_n_features] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressor_multioutput] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressors_no_decision_function] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_supervised_y_2d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_supervised_y_no_nan] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_regressors_int] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_estimators_unfitted] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_non_transformer_estimators_n_iter] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit2d_predict1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_methods_subset_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit2d_1sample] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit2d_1feature] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_get_params_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_set_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_dict_unchanged] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_dont_overwrite_parameters] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_fit_idempotent] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_n_features_in] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultiTaskLassoCV()-check_requires_y_none] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_no_attributes_set_in_init] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_dtypes] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit_score_takes_y] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_sample_weights_pandas_series] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_sample_weights_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_sample_weights_list] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_sample_weights_shape] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_sample_weights_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_fit_returns_self] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_complex_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_dtype_object] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_empty_data_messages] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_pipeline_consistency] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_nan_inf] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_overwrite_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimator_sparse_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_pickle] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifier_data_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_one_label] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_classes] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_partial_fit_n_features] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_train] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_train(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_classifiers_regression_target] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_supervised_y_no_nan] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_supervised_y_2d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_estimators_unfitted] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_non_transformer_estimators_n_iter] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_decision_proba_consistency] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit2d_predict1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_methods_subset_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit2d_1sample] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit2d_1feature] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit1d] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_get_params_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_set_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_dict_unchanged] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_dont_overwrite_parameters] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit_idempotent] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_n_features_in] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_requires_y_none] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[MultinomialNB()-check_fit_non_negative] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_no_attributes_set_in_init] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_dtypes] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit_score_takes_y] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_sample_weights_pandas_series] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_sample_weights_not_an_array] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_sample_weights_list] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_sample_weights_shape] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_sample_weights_invariance] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_fit_returns_self] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_complex_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_dtype_object] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_empty_data_messages] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_pipeline_consistency] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_nan_inf] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_overwrite_params] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimator_sparse_data] PASSED [ 72%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_estimators_pickle] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_transformer_data_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_transformer_general] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_transformer_general(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_transformers_unfitted] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_transformer_n_iter] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit2d_predict1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_methods_subset_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit2d_1sample] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit2d_1feature] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit1d] PASSED  [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_get_params_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_set_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_dict_unchanged] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_dont_overwrite_parameters] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit_idempotent] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_n_features_in] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NMF()-check_fit_non_negative] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_no_attributes_set_in_init] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_dtypes] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit_score_takes_y] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_sample_weights_pandas_series] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_sample_weights_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_sample_weights_list] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_sample_weights_shape] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_sample_weights_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_fit_returns_self] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_complex_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_dtype_object] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_empty_data_messages] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_pipeline_consistency] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_nan_inf] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_overwrite_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimator_sparse_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_pickle] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifier_data_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_one_label] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_classes] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_partial_fit_n_features] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_train] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_train(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_classifiers_regression_target] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_supervised_y_no_nan] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_supervised_y_2d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_estimators_unfitted] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_non_transformer_estimators_n_iter] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_decision_proba_consistency] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit2d_predict1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_methods_subset_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit2d_1sample] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit2d_1feature] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_get_params_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_set_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_dict_unchanged] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_dont_overwrite_parameters] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_fit_idempotent] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_n_features_in] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestCentroid()-check_requires_y_none] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_no_attributes_set_in_init] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_dtypes] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit_score_takes_y] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_sample_weights_pandas_series] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_sample_weights_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_sample_weights_list] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_sample_weights_shape] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_sample_weights_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_fit_returns_self] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_complex_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_dtype_object] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_empty_data_messages] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_pipeline_consistency] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_nan_inf] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_overwrite_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimator_sparse_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_estimators_pickle] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit2d_predict1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_methods_subset_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit2d_1sample] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit2d_1feature] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_get_params_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_set_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_dict_unchanged] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_dont_overwrite_parameters] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_fit_idempotent] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NearestNeighbors()-check_n_features_in] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_no_attributes_set_in_init] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_dtypes] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit_score_takes_y] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_sample_weights_pandas_series] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_sample_weights_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_sample_weights_list] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_sample_weights_shape] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_sample_weights_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_fit_returns_self] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_complex_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_dtype_object] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_empty_data_messages] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_pipeline_consistency] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_nan_inf] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_overwrite_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimator_sparse_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_estimators_pickle] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_transformer_data_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_transformer_general] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_transformer_general(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_transformers_unfitted] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_transformer_n_iter] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit2d_predict1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_methods_subset_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit2d_1sample] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit2d_1feature] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_get_params_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_set_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_dict_unchanged] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_dont_overwrite_parameters] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_fit_idempotent] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_n_features_in] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[NeighborhoodComponentsAnalysis()-check_requires_y_none] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_no_attributes_set_in_init] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_dtypes] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit_score_takes_y] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_sample_weights_pandas_series] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_sample_weights_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_sample_weights_list] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_sample_weights_shape] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_sample_weights_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_fit_returns_self] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_complex_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_dtype_object] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_empty_data_messages] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_pipeline_consistency] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_nan_inf] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_overwrite_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimator_sparse_data] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_estimators_pickle] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_transformer_data_not_an_array] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_transformer_general] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_transformer_general(readonly_memmap=True)] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_transformer_n_iter] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit2d_predict1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_methods_subset_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit2d_1sample] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit2d_1feature] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit1d] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_get_params_invariance] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_set_params] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_dict_unchanged] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_dont_overwrite_parameters] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_fit_idempotent] PASSED [ 73%]
> sklearn/tests/test_common.py::test_estimators[Normalizer()-check_n_features_in] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_no_attributes_set_in_init] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_dtypes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit_score_takes_y] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_sample_weights_pandas_series] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_sample_weights_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_sample_weights_list] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_sample_weights_shape] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_sample_weights_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_fit_returns_self] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_complex_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_dtype_object] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_empty_data_messages] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_pipeline_consistency] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_nan_inf] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_overwrite_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimator_sparse_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_pickle] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifier_data_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_one_label] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_classes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_partial_fit_n_features] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_train] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_train(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_classifiers_regression_target] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_supervised_y_no_nan] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_supervised_y_2d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_estimators_unfitted] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_class_weight_classifiers] XFAIL [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_non_transformer_estimators_n_iter] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_decision_proba_consistency] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit2d_predict1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_methods_subset_invariance] XPASS [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit2d_1sample] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit2d_1feature] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_get_params_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_set_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_dict_unchanged] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_dont_overwrite_parameters] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_fit_idempotent] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_n_features_in] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVC()-check_requires_y_none] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_no_attributes_set_in_init] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_dtypes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit_score_takes_y] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_sample_weights_pandas_series] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_sample_weights_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_sample_weights_list] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_sample_weights_shape] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_sample_weights_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_fit_returns_self] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_complex_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_dtype_object] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_empty_data_messages] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_pipeline_consistency] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_nan_inf] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_overwrite_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimator_sparse_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_pickle] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressors_train] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressors_train(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressor_data_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_partial_fit_n_features] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressors_no_decision_function] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_supervised_y_2d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_supervised_y_no_nan] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_regressors_int] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_estimators_unfitted] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_non_transformer_estimators_n_iter] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit2d_predict1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_methods_subset_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit2d_1sample] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit2d_1feature] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_get_params_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_set_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_dict_unchanged] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_dont_overwrite_parameters] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_fit_idempotent] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_n_features_in] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[NuSVR()-check_requires_y_none] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_no_attributes_set_in_init] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_dtypes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit_score_takes_y] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_sample_weights_pandas_series] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_sample_weights_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_sample_weights_list] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_sample_weights_shape] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_sample_weights_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_fit_returns_self] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_complex_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_dtype_object] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_empty_data_messages] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_pipeline_consistency] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_nan_inf] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_overwrite_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimator_sparse_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_estimators_pickle] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_transformer_data_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_transformer_general] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_transformer_general(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_transformers_unfitted] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_transformer_n_iter] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit2d_predict1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_methods_subset_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit2d_1sample] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit2d_1feature] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_get_params_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_set_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_dict_unchanged] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_dont_overwrite_parameters] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_fit_idempotent] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[Nystroem()-check_n_features_in] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_no_attributes_set_in_init] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_dtypes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit_score_takes_y] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_sample_weights_pandas_series] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_sample_weights_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_sample_weights_list] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_sample_weights_shape] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_sample_weights_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_fit_returns_self] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_complex_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_dtype_object] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_empty_data_messages] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_pipeline_consistency] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_nan_inf] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_overwrite_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimator_sparse_data] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_estimators_pickle] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_predict1d] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_methods_subset_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1sample] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit1d] PASSED  [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_get_params_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_set_params] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_dict_unchanged] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_dont_overwrite_parameters] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_fit_idempotent] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OAS()-check_n_features_in] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_no_attributes_set_in_init] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_dtypes] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit_score_takes_y] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_sample_weights_pandas_series] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_sample_weights_not_an_array] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_sample_weights_list] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_sample_weights_shape] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_sample_weights_invariance] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_fit_returns_self] PASSED [ 74%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_complex_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_dtype_object] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_empty_data_messages] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_pipeline_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_nan_inf] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_overwrite_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimator_sparse_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_pickle] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_clusterer_compute_labels_predict] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_clustering] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_clustering(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_estimators_partial_fit_n_features] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_non_transformer_estimators_n_iter] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit2d_predict1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_methods_subset_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit2d_1sample] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit2d_1feature] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_get_params_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_set_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_dict_unchanged] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_dont_overwrite_parameters] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_fit_idempotent] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OPTICS()-check_n_features_in] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_no_attributes_set_in_init] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_dtypes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit_score_takes_y] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_sample_weights_pandas_series] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_sample_weights_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_sample_weights_list] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_sample_weights_shape] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_sample_weights_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_fit_returns_self] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_complex_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_dtype_object] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_empty_data_messages] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_pipeline_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_nan_inf] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_overwrite_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimator_sparse_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_pickle] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_outliers_fit_predict] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_outliers_train] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_outliers_train(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_classifier_data_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_estimators_unfitted] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit2d_predict1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_methods_subset_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit2d_1sample] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit2d_1feature] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_get_params_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_set_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_dict_unchanged] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_dont_overwrite_parameters] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_fit_idempotent] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneClassSVM()-check_n_features_in] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsOneClassifier(estimator=LinearDiscriminantAnalysis())-check_requires_y_none] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifier_multioutput] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OneVsRestClassifier(estimator=LinearDiscriminantAnalysis())-check_requires_y_none] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_no_attributes_set_in_init] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_dtypes] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit_score_takes_y] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_sample_weights_pandas_series] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_sample_weights_not_an_array] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_sample_weights_list] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_sample_weights_shape] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_sample_weights_invariance] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_fit_returns_self] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_complex_data] PASSED [ 75%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_dtype_object] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_empty_data_messages] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_pipeline_consistency] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_nan_inf] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_overwrite_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimator_sparse_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_pickle] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressors_train] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressors_train(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressor_data_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_partial_fit_n_features] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressor_multioutput] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressors_no_decision_function] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_supervised_y_2d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_supervised_y_no_nan] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_regressors_int] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_estimators_unfitted] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_non_transformer_estimators_n_iter] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit2d_predict1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_methods_subset_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit2d_1sample] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit2d_1feature] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_get_params_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_set_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_dict_unchanged] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_dont_overwrite_parameters] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_fit_idempotent] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_n_features_in] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuit()-check_requires_y_none] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_no_attributes_set_in_init] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_dtypes] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit_score_takes_y] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_sample_weights_pandas_series] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_sample_weights_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_sample_weights_list] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_sample_weights_shape] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_sample_weights_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_fit_returns_self] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_complex_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_dtype_object] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_empty_data_messages] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_pipeline_consistency] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_nan_inf] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_overwrite_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimator_sparse_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_pickle] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressors_train] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressors_train(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressor_data_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_partial_fit_n_features] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressors_no_decision_function] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_supervised_y_2d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_supervised_y_no_nan] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_regressors_int] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_estimators_unfitted] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_non_transformer_estimators_n_iter] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit2d_predict1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_methods_subset_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit2d_1sample] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit2d_1feature] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_get_params_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_set_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_dict_unchanged] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_dont_overwrite_parameters] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_fit_idempotent] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_n_features_in] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OrthogonalMatchingPursuitCV()-check_requires_y_none] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[OutputCodeClassifier(estimator=LinearDiscriminantAnalysis())-check_requires_y_none] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_no_attributes_set_in_init] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_dtypes] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit_score_takes_y] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_sample_weights_pandas_series] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_sample_weights_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_sample_weights_list] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_sample_weights_shape] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_sample_weights_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_fit_returns_self] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_complex_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_dtype_object] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_empty_data_messages] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_pipeline_consistency] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_nan_inf] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_overwrite_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimator_sparse_data] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_estimators_pickle] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_transformer_data_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_transformer_general] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_transformers_unfitted] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_transformer_n_iter] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit2d_predict1d] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_methods_subset_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit2d_1sample] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit2d_1feature] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit1d] PASSED  [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_get_params_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_set_params] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_dict_unchanged] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_dont_overwrite_parameters] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_fit_idempotent] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PCA()-check_n_features_in] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_no_attributes_set_in_init] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_dtypes] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit_score_takes_y] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_sample_weights_pandas_series] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_sample_weights_not_an_array] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_sample_weights_list] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_sample_weights_shape] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_sample_weights_invariance] PASSED [ 76%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_fit_returns_self] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_complex_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_dtype_object] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_empty_data_messages] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_nan_inf] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_overwrite_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimator_sparse_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_pickle] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressors_train] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressors_train(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressor_data_not_an_array] SKIPPED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_partial_fit_n_features] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressor_multioutput] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressors_no_decision_function] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_supervised_y_2d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_supervised_y_no_nan] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_regressors_int] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_estimators_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_non_transformer_estimators_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_transformer_data_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_transformer_general] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_transformer_general(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_transformers_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_transformer_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit2d_predict1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_methods_subset_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit2d_1sample] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit2d_1feature] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_get_params_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_set_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_dict_unchanged] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_dont_overwrite_parameters] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_fit_idempotent] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSCanonical()-check_n_features_in] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_no_attributes_set_in_init] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_dtypes] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit_score_takes_y] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_sample_weights_pandas_series] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_sample_weights_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_sample_weights_list] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_sample_weights_shape] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_sample_weights_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_fit_returns_self] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_complex_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_dtype_object] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_empty_data_messages] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_nan_inf] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_overwrite_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimator_sparse_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_pickle] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressors_train] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressors_train(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressor_data_not_an_array] SKIPPED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_partial_fit_n_features] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressor_multioutput] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressors_no_decision_function] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_supervised_y_2d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_supervised_y_no_nan] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_regressors_int] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_estimators_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_non_transformer_estimators_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_transformer_data_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_transformer_general] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_transformer_general(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_transformers_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_transformer_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit2d_predict1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_methods_subset_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit2d_1sample] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit2d_1feature] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_get_params_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_set_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_dict_unchanged] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_dont_overwrite_parameters] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_fit_idempotent] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSRegression()-check_n_features_in] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_no_attributes_set_in_init] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_dtypes] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit_score_takes_y] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_sample_weights_pandas_series] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_sample_weights_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_sample_weights_list] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_sample_weights_shape] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_sample_weights_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_fit_returns_self] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_complex_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_dtype_object] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_empty_data_messages] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_nan_inf] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_overwrite_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimator_sparse_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_estimators_pickle] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_transformer_data_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_transformer_general] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_transformer_general(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_transformers_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_transformer_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit2d_predict1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_methods_subset_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit2d_1sample] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit2d_1feature] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_get_params_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_set_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_dict_unchanged] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_dont_overwrite_parameters] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_fit_idempotent] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PLSSVD()-check_n_features_in] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_no_attributes_set_in_init] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_dtypes] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit_score_takes_y] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sample_weights_pandas_series] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sample_weights_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sample_weights_list] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sample_weights_shape] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sample_weights_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_fit_returns_self] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_complex_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_dtype_object] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_empty_data_messages] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_pipeline_consistency] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_nan_inf] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_overwrite_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_sparsify_coefficients] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimator_sparse_data] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_pickle] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifier_data_not_an_array] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_one_label] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_classes] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_partial_fit_n_features] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_train] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_classifiers_regression_target] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_supervised_y_no_nan] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_supervised_y_2d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_estimators_unfitted] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_class_weight_classifiers] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_decision_proba_consistency] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit2d_predict1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_methods_subset_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit2d_1sample] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit2d_1feature] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit1d] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_get_params_invariance] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_set_params] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_dict_unchanged] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_dont_overwrite_parameters] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_fit_idempotent] PASSED [ 77%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_n_features_in] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveClassifier()-check_requires_y_none] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_no_attributes_set_in_init] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_dtypes] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit_score_takes_y] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sample_weights_pandas_series] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sample_weights_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sample_weights_list] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sample_weights_shape] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sample_weights_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_fit_returns_self] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_complex_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_dtype_object] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_empty_data_messages] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_pipeline_consistency] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_nan_inf] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_overwrite_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_sparsify_coefficients] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimator_sparse_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_pickle] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressors_train] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressor_data_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_partial_fit_n_features] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressors_no_decision_function] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_supervised_y_2d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_supervised_y_no_nan] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_regressors_int] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_estimators_unfitted] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit2d_predict1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_methods_subset_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit2d_1sample] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit2d_1feature] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_get_params_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_set_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_dict_unchanged] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_dont_overwrite_parameters] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_fit_idempotent] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_n_features_in] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PassiveAggressiveRegressor()-check_requires_y_none] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_no_attributes_set_in_init] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_dtypes] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit_score_takes_y] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sample_weights_pandas_series] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sample_weights_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sample_weights_list] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sample_weights_shape] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sample_weights_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_fit_returns_self] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_complex_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_dtype_object] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_empty_data_messages] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_pipeline_consistency] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_nan_inf] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_overwrite_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_sparsify_coefficients] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimator_sparse_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_pickle] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifier_data_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_one_label] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_classes] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_partial_fit_n_features] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_train] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_train(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_classifiers_regression_target] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_supervised_y_no_nan] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_supervised_y_2d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_estimators_unfitted] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_class_weight_classifiers] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_non_transformer_estimators_n_iter] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_decision_proba_consistency] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit2d_predict1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_methods_subset_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit2d_1sample] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit2d_1feature] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_get_params_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_set_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_dict_unchanged] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_dont_overwrite_parameters] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_fit_idempotent] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_n_features_in] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[Perceptron()-check_requires_y_none] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_no_attributes_set_in_init] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_dtypes] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit_score_takes_y] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_sample_weights_pandas_series] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_sample_weights_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_sample_weights_list] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_sample_weights_shape] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_sample_weights_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_fit_returns_self] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_complex_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_dtype_object] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_empty_data_messages] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_pipeline_consistency] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_nan_inf] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_overwrite_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimator_sparse_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_pickle] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressors_train] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressor_data_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_partial_fit_n_features] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressors_no_decision_function] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_supervised_y_2d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_supervised_y_no_nan] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_regressors_int] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_estimators_unfitted] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit2d_predict1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_methods_subset_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit2d_1sample] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit2d_1feature] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_get_params_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_set_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_dict_unchanged] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_dont_overwrite_parameters] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_fit_idempotent] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PoissonRegressor()-check_n_features_in] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_no_attributes_set_in_init] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_dtypes] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit_score_takes_y] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_sample_weights_pandas_series] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_sample_weights_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_sample_weights_list] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_sample_weights_shape] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_sample_weights_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_fit_returns_self] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_complex_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_dtype_object] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_empty_data_messages] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_pipeline_consistency] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_nan_inf] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_overwrite_params] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimator_sparse_data] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_estimators_pickle] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_transformer_data_not_an_array] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_transformer_general] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_transformer_general(readonly_memmap=True)] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_transformers_unfitted] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_transformer_n_iter] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit2d_predict1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_methods_subset_invariance] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit2d_1sample] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit2d_1feature] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit1d] PASSED [ 78%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_get_params_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_set_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_dict_unchanged] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_dont_overwrite_parameters] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_fit_idempotent] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PolynomialFeatures()-check_n_features_in] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_no_attributes_set_in_init] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_dtypes] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit_score_takes_y] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_sample_weights_pandas_series] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_sample_weights_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_sample_weights_list] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_sample_weights_shape] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_sample_weights_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_fit_returns_self] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_complex_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_dtype_object] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_empty_data_messages] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_pipeline_consistency] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_overwrite_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimator_sparse_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_estimators_pickle] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_transformer_data_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_transformer_general] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_transformer_general(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_transformers_unfitted] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_transformer_n_iter] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit2d_predict1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_methods_subset_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit2d_1sample] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit2d_1feature] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_get_params_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_set_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_dict_unchanged] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_dont_overwrite_parameters] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_fit_idempotent] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[PowerTransformer()-check_n_features_in] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_no_attributes_set_in_init] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_dtypes] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit_score_takes_y] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_sample_weights_pandas_series] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_sample_weights_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_sample_weights_list] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_sample_weights_shape] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_sample_weights_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_fit_returns_self] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_complex_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_dtype_object] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_empty_data_messages] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_pipeline_consistency] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_nan_inf] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_overwrite_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimator_sparse_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_pickle] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifier_data_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_one_label] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_classes] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_partial_fit_n_features] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_train] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_train(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_classifiers_regression_target] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_supervised_y_no_nan] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_supervised_y_2d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_estimators_unfitted] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_non_transformer_estimators_n_iter] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_decision_proba_consistency] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit2d_predict1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_methods_subset_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit2d_1sample] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit2d_1feature] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_get_params_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_set_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_dict_unchanged] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_dont_overwrite_parameters] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_fit_idempotent] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_n_features_in] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuadraticDiscriminantAnalysis()-check_requires_y_none] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_no_attributes_set_in_init] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_dtypes] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit_score_takes_y] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_sample_weights_pandas_series] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_sample_weights_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_sample_weights_list] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_sample_weights_shape] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_sample_weights_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_fit_returns_self] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_complex_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_dtype_object] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_empty_data_messages] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_pipeline_consistency] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_overwrite_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimator_sparse_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_estimators_pickle] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_transformer_data_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_transformer_general] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_transformer_general(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_transformers_unfitted] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_transformer_n_iter] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit2d_predict1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_methods_subset_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit2d_1sample] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit2d_1feature] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_get_params_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_set_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_dict_unchanged] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_dont_overwrite_parameters] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_fit_idempotent] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[QuantileTransformer()-check_n_features_in] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_no_attributes_set_in_init] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_dtypes] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit_score_takes_y] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_sample_weights_pandas_series] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_sample_weights_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_sample_weights_list] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_sample_weights_shape] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_sample_weights_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_fit_returns_self] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_complex_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_dtype_object] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_empty_data_messages] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_pipeline_consistency] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_nan_inf] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_overwrite_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimator_sparse_data] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_pickle] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressors_train] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressors_train(readonly_memmap=True)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressor_data_not_an_array] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_partial_fit_n_features] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressor_multioutput] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressors_no_decision_function] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_supervised_y_2d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_supervised_y_no_nan] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_regressors_int] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_estimators_unfitted] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_non_transformer_estimators_n_iter] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit2d_predict1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_methods_subset_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit2d_1sample] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit2d_1feature] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit1d] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_get_params_invariance] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_set_params] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_dict_unchanged] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_dont_overwrite_parameters] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_fit_idempotent] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_n_features_in] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RANSACRegressor(base_estimator=Ridge())-check_requires_y_none] PASSED [ 79%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_no_attributes_set_in_init] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_dtypes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit_score_takes_y] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_sample_weights_pandas_series] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_sample_weights_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_sample_weights_list] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_sample_weights_shape] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_sample_weights_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_fit_returns_self] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_complex_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_dtype_object] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_empty_data_messages] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_pipeline_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_nan_inf] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_overwrite_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimator_sparse_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_estimators_pickle] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_transformer_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_transformer_general] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_transformer_general(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_transformers_unfitted] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_transformer_n_iter] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit2d_predict1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_methods_subset_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit2d_1sample] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit2d_1feature] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_get_params_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_set_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_dict_unchanged] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_dont_overwrite_parameters] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_fit_idempotent] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RBFSampler()-check_n_features_in] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_transformer_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_transformer_general] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_transformer_general(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_transformers_unfitted] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_transformer_n_iter] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFE(estimator=LinearDiscriminantAnalysis())-check_requires_y_none] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifier_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_one_label] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_classes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_partial_fit_n_features] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_train] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_classifiers_regression_target] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_supervised_y_no_nan] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_supervised_y_2d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_estimators_unfitted] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_non_transformer_estimators_n_iter] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_decision_proba_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_transformer_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_transformer_general] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_transformer_general(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_transformers_unfitted] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_transformer_n_iter] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RFECV(estimator=LinearDiscriminantAnalysis())-check_requires_y_none] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_no_attributes_set_in_init] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_dtypes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit_score_takes_y] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_sample_weights_pandas_series] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_sample_weights_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_sample_weights_list] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_sample_weights_shape] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_sample_weights_invariance] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_fit_returns_self] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_complex_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_dtype_object] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_empty_data_messages] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_pipeline_consistency] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_nan_inf] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_overwrite_params] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimator_sparse_data] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_pickle] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifier_data_not_an_array] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_one_label] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_classes] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_partial_fit_n_features] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifier_multioutput] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_train] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_classifiers_regression_target] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_supervised_y_no_nan] PASSED [ 80%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_supervised_y_2d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_estimators_unfitted] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_decision_proba_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit2d_predict1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_methods_subset_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit2d_1sample] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit2d_1feature] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_get_params_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_set_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_dict_unchanged] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_dont_overwrite_parameters] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_fit_idempotent] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsClassifier()-check_n_features_in] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_no_attributes_set_in_init] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_dtypes] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit_score_takes_y] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_sample_weights_pandas_series] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_sample_weights_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_sample_weights_list] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_sample_weights_shape] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_sample_weights_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_fit_returns_self] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_complex_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_dtype_object] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_empty_data_messages] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_pipeline_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_nan_inf] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_overwrite_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimator_sparse_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_pickle] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressors_train] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressor_data_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_partial_fit_n_features] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressor_multioutput] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressors_no_decision_function] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_supervised_y_2d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_supervised_y_no_nan] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_regressors_int] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_estimators_unfitted] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit2d_predict1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_methods_subset_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit2d_1sample] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit2d_1feature] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_get_params_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_set_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_dict_unchanged] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_dont_overwrite_parameters] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_fit_idempotent] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsRegressor()-check_n_features_in] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_no_attributes_set_in_init] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_dtypes] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit_score_takes_y] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_sample_weights_pandas_series] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_sample_weights_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_sample_weights_list] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_sample_weights_shape] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_sample_weights_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_fit_returns_self] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_complex_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_dtype_object] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_empty_data_messages] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_pipeline_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_nan_inf] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_overwrite_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimator_sparse_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_estimators_pickle] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_transformer_data_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_transformer_general] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_transformer_general(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_transformers_unfitted] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_transformer_n_iter] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit2d_predict1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_methods_subset_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit2d_1sample] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit2d_1feature] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_get_params_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_set_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_dict_unchanged] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_dont_overwrite_parameters] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_fit_idempotent] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RadiusNeighborsTransformer()-check_n_features_in] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_no_attributes_set_in_init] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_dtypes] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit_score_takes_y] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_sample_weights_pandas_series] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_sample_weights_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_sample_weights_list] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_sample_weights_shape] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_sample_weights_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_fit_returns_self] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_complex_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_dtype_object] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_empty_data_messages] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_pipeline_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_nan_inf] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_overwrite_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimator_sparse_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_pickle] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifier_data_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_one_label] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_classes] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_partial_fit_n_features] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifier_multioutput] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_train] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_classifiers_regression_target] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_supervised_y_no_nan] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_supervised_y_2d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_estimators_unfitted] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_class_weight_classifiers] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_decision_proba_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit2d_predict1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_methods_subset_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit2d_1sample] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit2d_1feature] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit1d] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_get_params_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_set_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_dict_unchanged] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_dont_overwrite_parameters] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_fit_idempotent] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_n_features_in] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestClassifier()-check_requires_y_none] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_no_attributes_set_in_init] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_dtypes] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit_score_takes_y] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_sample_weights_pandas_series] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_sample_weights_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_sample_weights_list] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_sample_weights_shape] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_sample_weights_invariance] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_fit_returns_self] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_complex_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_dtype_object] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_empty_data_messages] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_pipeline_consistency] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_nan_inf] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_overwrite_params] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimator_sparse_data] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_pickle] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressors_train] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressor_data_not_an_array] PASSED [ 81%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_partial_fit_n_features] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressor_multioutput] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressors_no_decision_function] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_supervised_y_2d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_supervised_y_no_nan] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_regressors_int] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_estimators_unfitted] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit2d_predict1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_methods_subset_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit2d_1sample] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit2d_1feature] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_get_params_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_set_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_dict_unchanged] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_dont_overwrite_parameters] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_fit_idempotent] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_n_features_in] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomForestRegressor()-check_requires_y_none] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_no_attributes_set_in_init] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_dtypes] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit_score_takes_y] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_sample_weights_pandas_series] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_sample_weights_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_sample_weights_list] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_sample_weights_shape] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_sample_weights_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_fit_returns_self] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_complex_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_dtype_object] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_empty_data_messages] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_pipeline_consistency] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_nan_inf] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_overwrite_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimator_sparse_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_estimators_pickle] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_transformer_data_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_transformer_general] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_transformer_general(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_transformers_unfitted] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_transformer_n_iter] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit2d_predict1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_methods_subset_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit2d_1sample] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit2d_1feature] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_get_params_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_set_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_dict_unchanged] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_dont_overwrite_parameters] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_fit_idempotent] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RandomTreesEmbedding()-check_n_features_in] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_no_attributes_set_in_init] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_dtypes] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit_score_takes_y] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_sample_weights_pandas_series] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_sample_weights_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_sample_weights_list] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_sample_weights_shape] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_sample_weights_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_fit_returns_self] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_complex_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_dtype_object] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_empty_data_messages] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_pipeline_consistency] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_nan_inf] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_overwrite_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimator_sparse_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_pickle] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressors_train] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressors_train(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressor_data_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_partial_fit_n_features] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressors_no_decision_function] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_supervised_y_2d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_supervised_y_no_nan] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_regressors_int] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_estimators_unfitted] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_non_transformer_estimators_n_iter] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit2d_predict1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_methods_subset_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit2d_1sample] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit2d_1feature] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_get_params_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_set_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_dict_unchanged] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_dont_overwrite_parameters] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_fit_idempotent] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_n_features_in] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RegressorChain(base_estimator=Ridge())-check_requires_y_none] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_no_attributes_set_in_init] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_dtypes] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit_score_takes_y] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_sample_weights_pandas_series] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_sample_weights_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_sample_weights_list] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_sample_weights_shape] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_sample_weights_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_fit_returns_self] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_complex_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_dtype_object] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_empty_data_messages] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_pipeline_consistency] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_nan_inf] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_overwrite_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimator_sparse_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_pickle] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressors_train] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressors_train(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressor_data_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_partial_fit_n_features] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressor_multioutput] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressors_no_decision_function] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_supervised_y_2d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_supervised_y_no_nan] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_regressors_int] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_estimators_unfitted] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_non_transformer_estimators_n_iter] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit2d_predict1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_methods_subset_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit2d_1sample] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit2d_1feature] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit1d] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_get_params_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_set_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_dict_unchanged] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_dont_overwrite_parameters] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_fit_idempotent] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_n_features_in] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[Ridge()-check_requires_y_none] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_no_attributes_set_in_init] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_dtypes] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit_score_takes_y] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_sample_weights_pandas_series] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_sample_weights_not_an_array] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_sample_weights_list] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_sample_weights_shape] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_sample_weights_invariance] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_fit_returns_self] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_complex_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_dtype_object] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_empty_data_messages] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_pipeline_consistency] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_nan_inf] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_overwrite_params] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimator_sparse_data] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_pickle] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressors_train] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressors_train(readonly_memmap=True)] PASSED [ 82%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressor_data_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_partial_fit_n_features] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressor_multioutput] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressors_no_decision_function] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_supervised_y_2d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_supervised_y_no_nan] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_regressors_int] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_estimators_unfitted] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_non_transformer_estimators_n_iter] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit2d_predict1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_methods_subset_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit2d_1sample] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit2d_1feature] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_get_params_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_set_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_dict_unchanged] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_dont_overwrite_parameters] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_fit_idempotent] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_n_features_in] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeCV(alphas=array([0.1,1.,10.]))-check_requires_y_none] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_no_attributes_set_in_init] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_dtypes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit_score_takes_y] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_sample_weights_pandas_series] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_sample_weights_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_sample_weights_list] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_sample_weights_shape] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_sample_weights_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_fit_returns_self] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_complex_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_dtype_object] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_empty_data_messages] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_pipeline_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_nan_inf] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_overwrite_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimator_sparse_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_pickle] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifier_data_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_one_label] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_classes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_partial_fit_n_features] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_train] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_classifiers_regression_target] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_supervised_y_no_nan] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_supervised_y_2d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_estimators_unfitted] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_class_weight_classifiers] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_decision_proba_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit2d_predict1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_methods_subset_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit2d_1sample] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit2d_1feature] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_get_params_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_set_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_dict_unchanged] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_dont_overwrite_parameters] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_fit_idempotent] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_n_features_in] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifier()-check_requires_y_none] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_no_attributes_set_in_init] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_dtypes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit_score_takes_y] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_sample_weights_pandas_series] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_sample_weights_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_sample_weights_list] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_sample_weights_shape] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_sample_weights_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_fit_returns_self] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_complex_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_dtype_object] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_empty_data_messages] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_pipeline_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_nan_inf] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_overwrite_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimator_sparse_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_pickle] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifier_data_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_one_label] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_classes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_partial_fit_n_features] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_train] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_train(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_classifiers_regression_target] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_supervised_y_no_nan] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_supervised_y_2d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_estimators_unfitted] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_class_weight_classifiers] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_non_transformer_estimators_n_iter] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_decision_proba_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit2d_predict1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_methods_subset_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit2d_1sample] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit2d_1feature] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_get_params_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_set_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_dict_unchanged] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_dont_overwrite_parameters] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_fit_idempotent] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_n_features_in] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV(alphas=array([0.1,1.,10.]))-check_requires_y_none] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_no_attributes_set_in_init] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_dtypes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit_score_takes_y] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_sample_weights_pandas_series] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_sample_weights_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_sample_weights_list] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_sample_weights_shape] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_sample_weights_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_fit_returns_self] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_complex_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_dtype_object] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_empty_data_messages] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_pipeline_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_overwrite_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimator_sparse_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_estimators_pickle] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_transformer_data_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_transformer_general] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_transformer_general(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_transformers_unfitted] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_transformer_n_iter] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit2d_predict1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_methods_subset_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit2d_1sample] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit2d_1feature] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit1d] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_get_params_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_set_params] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_dict_unchanged] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_dont_overwrite_parameters] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_fit_idempotent] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[RobustScaler()-check_n_features_in] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_no_attributes_set_in_init] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_dtypes] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit_score_takes_y] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sample_weights_pandas_series] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sample_weights_not_an_array] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sample_weights_list] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sample_weights_shape] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sample_weights_invariance] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_fit_returns_self] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_complex_data] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_dtype_object] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_empty_data_messages] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_pipeline_consistency] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_nan_inf] PASSED [ 83%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_overwrite_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_sparsify_coefficients] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimator_sparse_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_pickle] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifier_data_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_one_label] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_classes] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_partial_fit_n_features] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_train] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_train(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_classifiers_regression_target] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_supervised_y_no_nan] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_supervised_y_2d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_estimators_unfitted] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_class_weight_classifiers] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_non_transformer_estimators_n_iter] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_decision_proba_consistency] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit2d_predict1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_methods_subset_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit2d_1sample] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit2d_1feature] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_get_params_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_set_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_dict_unchanged] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_dont_overwrite_parameters] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_fit_idempotent] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_n_features_in] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDClassifier()-check_requires_y_none] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_no_attributes_set_in_init] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_dtypes] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit_score_takes_y] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sample_weights_pandas_series] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sample_weights_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sample_weights_list] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sample_weights_shape] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sample_weights_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_fit_returns_self] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_complex_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_dtype_object] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_empty_data_messages] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_pipeline_consistency] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_nan_inf] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_overwrite_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_sparsify_coefficients] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimator_sparse_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_pickle] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressors_train] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressor_data_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_partial_fit_n_features] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressors_no_decision_function] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_supervised_y_2d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_supervised_y_no_nan] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_regressors_int] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_estimators_unfitted] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit2d_predict1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_methods_subset_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit2d_1sample] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit2d_1feature] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_get_params_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_set_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_dict_unchanged] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_dont_overwrite_parameters] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_fit_idempotent] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_n_features_in] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SGDRegressor()-check_requires_y_none] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_no_attributes_set_in_init] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_dtypes] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit_score_takes_y] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_sample_weights_pandas_series] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_sample_weights_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_sample_weights_list] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_sample_weights_shape] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_sample_weights_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_fit_returns_self] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_complex_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_dtype_object] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_empty_data_messages] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_pipeline_consistency] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_nan_inf] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_overwrite_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimator_sparse_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_pickle] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifier_data_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_one_label] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_classes] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_partial_fit_n_features] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_train] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_train(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_classifiers_regression_target] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_supervised_y_no_nan] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_supervised_y_2d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_estimators_unfitted] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_class_weight_classifiers] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_non_transformer_estimators_n_iter] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_decision_proba_consistency] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit2d_predict1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_methods_subset_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit2d_1sample] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit2d_1feature] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit1d] PASSED  [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_get_params_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_set_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_dict_unchanged] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_dont_overwrite_parameters] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_fit_idempotent] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_n_features_in] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVC()-check_requires_y_none] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_no_attributes_set_in_init] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_dtypes] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit_score_takes_y] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_sample_weights_pandas_series] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_sample_weights_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_sample_weights_list] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_sample_weights_shape] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_sample_weights_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_fit_returns_self] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_complex_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_dtype_object] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_empty_data_messages] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_pipeline_consistency] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_nan_inf] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_overwrite_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimator_sparse_data] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_pickle] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressors_train] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressors_train(readonly_memmap=True)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressor_data_not_an_array] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_partial_fit_n_features] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressors_no_decision_function] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_supervised_y_2d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_supervised_y_no_nan] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_regressors_int] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_estimators_unfitted] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_non_transformer_estimators_n_iter] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit2d_predict1d] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_methods_subset_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit2d_1sample] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit2d_1feature] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit1d] PASSED  [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_get_params_invariance] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_set_params] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_dict_unchanged] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_dont_overwrite_parameters] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_fit_idempotent] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_n_features_in] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SVR()-check_requires_y_none] PASSED [ 84%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_no_attributes_set_in_init] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_dtypes] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit_score_takes_y] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_sample_weights_pandas_series] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_sample_weights_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_sample_weights_list] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_sample_weights_shape] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_sample_weights_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_fit_returns_self] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_complex_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_dtype_object] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_empty_data_messages] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_pipeline_consistency] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_nan_inf] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_overwrite_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimator_sparse_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_estimators_pickle] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_transformer_data_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_transformer_general] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_transformer_general(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_transformers_unfitted] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_transformer_n_iter] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit2d_predict1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_methods_subset_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit2d_1sample] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit2d_1feature] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_get_params_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_set_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_dict_unchanged] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_dont_overwrite_parameters] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_fit_idempotent] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_n_features_in] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFdr()-check_requires_y_none] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_no_attributes_set_in_init] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_dtypes] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit_score_takes_y] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_sample_weights_pandas_series] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_sample_weights_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_sample_weights_list] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_sample_weights_shape] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_sample_weights_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_fit_returns_self] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_complex_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_dtype_object] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_empty_data_messages] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_pipeline_consistency] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_nan_inf] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_overwrite_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimator_sparse_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_estimators_pickle] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_transformer_data_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_transformer_general] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_transformer_general(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_transformers_unfitted] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_transformer_n_iter] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit2d_predict1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_methods_subset_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit2d_1sample] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit2d_1feature] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_get_params_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_set_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_dict_unchanged] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_dont_overwrite_parameters] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_fit_idempotent] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_n_features_in] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFpr()-check_requires_y_none] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_no_attributes_set_in_init] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_dtypes] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit_score_takes_y] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_sample_weights_pandas_series] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_sample_weights_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_sample_weights_list] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_sample_weights_shape] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_sample_weights_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_complex_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_dtype_object] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_empty_data_messages] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_pipeline_consistency] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_nan_inf] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_overwrite_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimator_sparse_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_estimators_pickle] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_transformer_data_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_transformer_general] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_transformer_general(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_transformers_unfitted] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_transformer_n_iter] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit2d_predict1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_methods_subset_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit2d_1sample] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit2d_1feature] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_get_params_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_set_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_dict_unchanged] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_dont_overwrite_parameters] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_fit_idempotent] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFromModel(estimator=LinearDiscriminantAnalysis())-check_n_features_in] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_no_attributes_set_in_init] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_dtypes] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit_score_takes_y] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_sample_weights_pandas_series] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_sample_weights_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_sample_weights_list] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_sample_weights_shape] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_sample_weights_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_fit_returns_self] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_complex_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_dtype_object] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_empty_data_messages] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_pipeline_consistency] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_nan_inf] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_overwrite_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimator_sparse_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_estimators_pickle] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_transformer_data_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_transformer_general] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_transformer_general(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_transformers_unfitted] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_transformer_n_iter] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit2d_predict1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_methods_subset_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit2d_1sample] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit2d_1feature] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit1d] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_get_params_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_set_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_dict_unchanged] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_dont_overwrite_parameters] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_fit_idempotent] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_n_features_in] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectFwe()-check_requires_y_none] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_no_attributes_set_in_init] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_dtypes] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit_score_takes_y] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_sample_weights_pandas_series] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_sample_weights_not_an_array] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_sample_weights_list] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_sample_weights_shape] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_sample_weights_invariance] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_fit_returns_self] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_complex_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_dtype_object] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_empty_data_messages] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_pipeline_consistency] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_nan_inf] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_overwrite_params] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimator_sparse_data] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_estimators_pickle] PASSED [ 85%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_transformer_data_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_transformer_general] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_transformer_general(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_transformers_unfitted] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_transformer_n_iter] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit2d_predict1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_methods_subset_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit2d_1sample] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit2d_1feature] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_get_params_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_set_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_dict_unchanged] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_dont_overwrite_parameters] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_fit_idempotent] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_n_features_in] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectKBest()-check_requires_y_none] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_no_attributes_set_in_init] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_dtypes] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit_score_takes_y] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_sample_weights_pandas_series] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_sample_weights_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_sample_weights_list] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_sample_weights_shape] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_sample_weights_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_fit_returns_self] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_complex_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_dtype_object] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_empty_data_messages] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_pipeline_consistency] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_nan_inf] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_overwrite_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimator_sparse_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_estimators_pickle] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_transformer_data_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_transformer_general] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_transformer_general(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_transformers_unfitted] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_transformer_n_iter] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit2d_predict1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_methods_subset_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit2d_1sample] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit2d_1feature] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_get_params_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_set_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_dict_unchanged] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_dont_overwrite_parameters] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_fit_idempotent] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_n_features_in] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SelectPercentile()-check_requires_y_none] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_no_attributes_set_in_init] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_dtypes] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit_score_takes_y] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_sample_weights_pandas_series] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_sample_weights_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_sample_weights_list] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_sample_weights_shape] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_sample_weights_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_fit_returns_self] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_complex_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_dtype_object] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_empty_data_messages] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_pipeline_consistency] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_nan_inf] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_overwrite_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimator_sparse_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_estimators_pickle] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_predict1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_methods_subset_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1sample] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_get_params_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_set_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_dict_unchanged] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_dont_overwrite_parameters] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit_idempotent] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_n_features_in] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_no_attributes_set_in_init] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_dtypes] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit_score_takes_y] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_sample_weights_pandas_series] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_sample_weights_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_sample_weights_list] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_sample_weights_shape] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_sample_weights_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_fit_returns_self] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_complex_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_dtype_object] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_empty_data_messages] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_pipeline_consistency] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_overwrite_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimator_sparse_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_estimators_pickle] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_transformer_data_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_transformer_general] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_transformer_general(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_transformers_unfitted] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_transformer_n_iter] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit2d_predict1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_methods_subset_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit2d_1sample] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit2d_1feature] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_get_params_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_set_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_dict_unchanged] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_dont_overwrite_parameters] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_fit_idempotent] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SimpleImputer()-check_n_features_in] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_no_attributes_set_in_init] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_dtypes] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit_score_takes_y] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_sample_weights_pandas_series] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_sample_weights_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_sample_weights_list] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_sample_weights_shape] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_sample_weights_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_fit_returns_self] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_complex_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_dtype_object] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_empty_data_messages] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_pipeline_consistency] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_nan_inf] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_overwrite_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimator_sparse_data] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_estimators_pickle] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_transformer_data_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_transformer_general] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_transformer_general(readonly_memmap=True)] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_transformers_unfitted] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_transformer_n_iter] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit2d_predict1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_methods_subset_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit2d_1sample] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit2d_1feature] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit1d] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_get_params_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_set_params] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_dict_unchanged] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_dont_overwrite_parameters] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_fit_idempotent] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SkewedChi2Sampler()-check_n_features_in] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_no_attributes_set_in_init] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_dtypes] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit_score_takes_y] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_sample_weights_pandas_series] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_sample_weights_not_an_array] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_sample_weights_list] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_sample_weights_shape] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_sample_weights_invariance] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_fit_returns_self] PASSED [ 86%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_complex_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_dtype_object] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_empty_data_messages] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_pipeline_consistency] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_nan_inf] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_overwrite_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimator_sparse_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_estimators_pickle] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_transformer_data_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_transformer_general] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_transformer_general(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_transformers_unfitted] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_transformer_n_iter] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit2d_predict1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_methods_subset_invariance] XPASS [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit2d_1sample] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit2d_1feature] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_get_params_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_set_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_dict_unchanged] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_dont_overwrite_parameters] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_fit_idempotent] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_n_features_in] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_no_attributes_set_in_init] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_dtypes] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit_score_takes_y] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_sample_weights_pandas_series] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_sample_weights_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_sample_weights_list] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_sample_weights_shape] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_sample_weights_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_fit_returns_self] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_complex_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_dtype_object] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_empty_data_messages] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_pipeline_consistency] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_nan_inf] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_overwrite_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimator_sparse_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_estimators_pickle] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_transformer_data_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_transformer_general] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_transformer_general(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_transformers_unfitted] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_transformer_n_iter] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit2d_predict1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_methods_subset_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit2d_1sample] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit2d_1feature] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_get_params_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_set_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_dict_unchanged] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_dont_overwrite_parameters] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_fit_idempotent] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SparseRandomProjection()-check_n_features_in] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_no_attributes_set_in_init] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_dtypes] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit_score_takes_y] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_sample_weights_pandas_series] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_sample_weights_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_sample_weights_list] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_sample_weights_shape] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_sample_weights_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_fit_returns_self] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_complex_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_dtype_object] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_empty_data_messages] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_pipeline_consistency] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_nan_inf] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_overwrite_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimator_sparse_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_pickle] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_clusterer_compute_labels_predict] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_clustering] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_clustering(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_estimators_partial_fit_n_features] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_non_transformer_estimators_n_iter] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit2d_predict1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_methods_subset_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit2d_1sample] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit2d_1feature] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_get_params_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_set_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_dict_unchanged] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_dont_overwrite_parameters] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_fit_idempotent] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralClustering()-check_n_features_in] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_no_attributes_set_in_init] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_dtypes] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit_score_takes_y] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_sample_weights_pandas_series] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_sample_weights_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_sample_weights_list] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_sample_weights_shape] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_sample_weights_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_fit_returns_self] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_complex_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_dtype_object] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_empty_data_messages] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_pipeline_consistency] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_nan_inf] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_overwrite_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimator_sparse_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_estimators_pickle] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit2d_predict1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_methods_subset_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit2d_1sample] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit2d_1feature] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_get_params_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_set_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_dict_unchanged] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_dont_overwrite_parameters] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_fit_idempotent] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[SpectralEmbedding()-check_n_features_in] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_no_attributes_set_in_init] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_dtypes] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit_score_takes_y] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_sample_weights_pandas_series] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_sample_weights_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_sample_weights_list] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_sample_weights_shape] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_sample_weights_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_fit_returns_self] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_complex_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_dtype_object] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_empty_data_messages] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_pipeline_consistency] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_overwrite_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimator_sparse_data] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_estimators_pickle] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_transformer_data_not_an_array] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_transformer_general] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_transformer_general(readonly_memmap=True)] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_transformers_unfitted] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_transformer_n_iter] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit2d_predict1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_methods_subset_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit2d_1sample] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit2d_1feature] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit1d] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_get_params_invariance] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_set_params] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_dict_unchanged] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_dont_overwrite_parameters] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_fit_idempotent] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[StandardScaler()-check_n_features_in] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_no_attributes_set_in_init] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_dtypes] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit_score_takes_y] PASSED [ 87%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_sample_weights_pandas_series] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_sample_weights_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_sample_weights_list] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_sample_weights_shape] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_sample_weights_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_fit_returns_self] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_complex_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_dtype_object] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_empty_data_messages] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_pipeline_consistency] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_nan_inf] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_overwrite_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimator_sparse_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_estimators_pickle] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit2d_predict1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_methods_subset_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit2d_1sample] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit2d_1feature] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_get_params_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_set_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_dict_unchanged] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_dont_overwrite_parameters] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_fit_idempotent] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TSNE()-check_n_features_in] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_no_attributes_set_in_init] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_dtypes] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit_score_takes_y] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_sample_weights_pandas_series] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_sample_weights_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_sample_weights_list] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_sample_weights_shape] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_sample_weights_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_fit_returns_self] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_complex_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_dtype_object] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_empty_data_messages] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_pipeline_consistency] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_nan_inf] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_overwrite_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimator_sparse_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_pickle] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressors_train] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressors_train(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressor_data_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_partial_fit_n_features] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressors_no_decision_function] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_supervised_y_2d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_supervised_y_no_nan] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_regressors_int] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_estimators_unfitted] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_non_transformer_estimators_n_iter] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit2d_predict1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_methods_subset_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit2d_1sample] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit2d_1feature] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_get_params_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_set_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_dict_unchanged] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_dont_overwrite_parameters] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_fit_idempotent] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_n_features_in] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TheilSenRegressor(max_subpopulation=10000)-check_requires_y_none] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_no_attributes_set_in_init] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_dtypes] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit_score_takes_y] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_sample_weights_pandas_series] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_sample_weights_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_sample_weights_list] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_sample_weights_shape] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_sample_weights_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_fit_returns_self] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_pipeline_consistency] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_overwrite_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimator_sparse_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_pickle] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressors_train] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressor_data_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_partial_fit_n_features] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressors_no_decision_function] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_supervised_y_no_nan] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_regressors_int] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_estimators_unfitted] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit2d_predict1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_methods_subset_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit2d_1sample] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit2d_1feature] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_get_params_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_set_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_dict_unchanged] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_dont_overwrite_parameters] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TransformedTargetRegressor()-check_fit_idempotent] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_no_attributes_set_in_init] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_dtypes] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit_score_takes_y] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_sample_weights_pandas_series] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_sample_weights_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_sample_weights_list] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_sample_weights_shape] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_sample_weights_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_fit_returns_self] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_complex_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_dtype_object] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_empty_data_messages] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_pipeline_consistency] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_nan_inf] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_overwrite_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimator_sparse_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_estimators_pickle] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_transformer_data_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_transformer_general] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_transformer_general(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_transformers_unfitted] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_transformer_n_iter] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit2d_predict1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_methods_subset_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit2d_1sample] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit2d_1feature] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit1d] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_get_params_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_set_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_dict_unchanged] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_dont_overwrite_parameters] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_fit_idempotent] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TruncatedSVD()-check_n_features_in] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_no_attributes_set_in_init] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_dtypes] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit_score_takes_y] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_sample_weights_pandas_series] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_sample_weights_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_sample_weights_list] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_sample_weights_shape] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_sample_weights_invariance] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_fit_returns_self] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_complex_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_dtype_object] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_empty_data_messages] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_pipeline_consistency] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_nan_inf] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_overwrite_params] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimator_sparse_data] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_pickle] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressors_train] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressors_train(readonly_memmap=True)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressors_train(readonly_memmap=True,X_dtype=float32)] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressor_data_not_an_array] PASSED [ 88%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_partial_fit_n_features] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressors_no_decision_function] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_supervised_y_2d] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_supervised_y_no_nan] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_regressors_int] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_estimators_unfitted] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_non_transformer_estimators_n_iter] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit2d_predict1d] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_methods_subset_invariance] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit2d_1sample] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit2d_1feature] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit1d] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_get_params_invariance] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_set_params] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_dict_unchanged] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_dont_overwrite_parameters] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_fit_idempotent] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[TweedieRegressor()-check_n_features_in] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_no_attributes_set_in_init] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_dtypes] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit_score_takes_y] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_sample_weights_pandas_series] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_sample_weights_not_an_array] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_sample_weights_list] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_sample_weights_shape] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_sample_weights_invariance] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_fit_returns_self] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_fit_returns_self(readonly_memmap=True)] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_complex_data] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_dtype_object] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_empty_data_messages] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_pipeline_consistency] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_overwrite_params] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimator_sparse_data] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_estimators_pickle] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_transformer_data_not_an_array] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_transformer_general] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_transformer_general(readonly_memmap=True)] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_transformers_unfitted] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_transformer_n_iter] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit2d_predict1d] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_methods_subset_invariance] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit2d_1sample] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit2d_1feature] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit1d] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_get_params_invariance] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_set_params] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_dict_unchanged] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_dont_overwrite_parameters] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_fit_idempotent] PASSED [ 89%]
> sklearn/tests/test_common.py::test_estimators[VarianceThreshold()-check_n_features_in] PASSED [ 89%]
> sklearn/tests/test_common.py::test_check_estimator_generate_only PASSED  [ 89%]
> sklearn/tests/test_common.py::test_configure SKIPPED (setup.py not a...) [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LinearSVC-LinearSVC] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegression-LogisticRegression] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[PassiveAggressiveClassifier-PassiveAggressiveClassifier] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[Perceptron-Perceptron] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifier-RidgeClassifier] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV] PASSED [ 89%]
> sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[SGDClassifier-SGDClassifier] PASSED [ 89%]
> sklearn/tests/test_common.py::test_import_all_consistency PASSED         [ 89%]
> sklearn/tests/test_common.py::test_root_import_all_completeness PASSED   [ 89%]
> sklearn/tests/test_common.py::test_all_tests_are_importable PASSED       [ 89%]
> sklearn/tests/test_common.py::test_class_support_deprecated PASSED       [ 89%]
> sklearn/tests/test_config.py::test_config_context PASSED                 [ 89%]
> sklearn/tests/test_config.py::test_config_context_exception PASSED       [ 89%]
> sklearn/tests/test_config.py::test_set_config PASSED                     [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict PASSED     [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[svd-2] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[svd-3] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[lsqr-2] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[lsqr-3] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[eigen-2] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_predict_proba[eigen-3] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_priors PASSED      [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_coefs PASSED       [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_transform PASSED   [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_explained_variance_ratio PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_orthogonality PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_scaling PASSED     [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_store_covariance PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dimension_warning[5-3] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dimension_warning[5-5] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dimension_warning[3-3] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dimension_warning[3-5] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dtype_match[float32-float32] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dtype_match[float64-float64] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dtype_match[int32-float64] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_dtype_match[int64-float64] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_lda_numeric_consistency_float32_float64 PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_qda PASSED             [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_qda_priors PASSED      [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_qda_store_covariance PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_qda_regularization PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_covariance PASSED      [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_raises_value_error_on_same_number_of_classes_and_samples[svd, lsqr] PASSED [ 89%]
> sklearn/tests/test_discriminant_analysis.py::test_raises_value_error_on_same_number_of_classes_and_samples[eigen] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_docstring_parameters PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_tabs PASSED             [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ARDRegression-ARDRegression] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdaBoostClassifier-AdaBoostClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdaBoostRegressor-AdaBoostRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdditiveChi2Sampler-AdditiveChi2Sampler] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AffinityPropagation-AffinityPropagation] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AgglomerativeClustering-AgglomerativeClustering] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BaggingClassifier-BaggingClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BaggingRegressor-BaggingRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianGaussianMixture-BayesianGaussianMixture] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianRidge-BayesianRidge] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliNB-BernoulliNB] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliRBM-BernoulliRBM] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Binarizer-Binarizer] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Birch-Birch] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CCA-CCA] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CalibratedClassifierCV-CalibratedClassifierCV] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CategoricalNB-CategoricalNB] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CheckingClassifier-CheckingClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ClassifierChain-ClassifierChain] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ColumnTransformer-ColumnTransformer] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ComplementNB-ComplementNB] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CountVectorizer-CountVectorizer] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DBSCAN-DBSCAN] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeClassifier-DecisionTreeClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeRegressor-DecisionTreeRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictVectorizer-DictVectorizer] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictionaryLearning-DictionaryLearning] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyClassifier-DummyClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyRegressor-DummyRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNet-ElasticNet] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNetCV-ElasticNetCV] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EllipticEnvelope-EllipticEnvelope] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EmpiricalCovariance-EmpiricalCovariance] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeClassifier-ExtraTreeClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeRegressor-ExtraTreeRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesClassifier-ExtraTreesClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesRegressor-ExtraTreesRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FactorAnalysis-FactorAnalysis] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FastICA-FastICA] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureAgglomeration-FeatureAgglomeration] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureHasher-FeatureHasher] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureUnion-FeatureUnion] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FunctionTransformer-FunctionTransformer] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GammaRegressor-GammaRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianMixture-GaussianMixture] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianNB-GaussianNB] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessClassifier-GaussianProcessClassifier] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessRegressor-GaussianProcessRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianRandomProjection-GaussianRandomProjection] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GeneralizedLinearRegressor-GeneralizedLinearRegressor] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GenericUnivariateSelect-GenericUnivariateSelect] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingClassifier-GradientBoostingClassifier] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingRegressor-GradientBoostingRegressor] XFAIL [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLasso-GraphicalLasso] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLassoCV-GraphicalLassoCV] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GridSearchCV-GridSearchCV] SKIPPED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HashingVectorizer-HashingVectorizer] PASSED [ 89%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingClassifier-HistGradientBoostingClassifier] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingRegressor-HistGradientBoostingRegressor] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HuberRegressor-HuberRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IncrementalPCA-IncrementalPCA] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsolationForest-IsolationForest] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Isomap-Isomap] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsotonicRegression-IsotonicRegression] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IterativeImputer-IterativeImputer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KBinsDiscretizer-KBinsDiscretizer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KMeans-KMeans] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNNImputer-KNNImputer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsClassifier-KNeighborsClassifier] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsRegressor-KNeighborsRegressor] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsTransformer-KNeighborsTransformer] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelCenterer-KernelCenterer] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelDensity-KernelDensity] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelPCA-KernelPCA] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelRidge-KernelRidge] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelBinarizer-LabelBinarizer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelEncoder-LabelEncoder] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelPropagation-LabelPropagation] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelSpreading-LabelSpreading] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lars-Lars] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LarsCV-LarsCV] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lasso-Lasso] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoCV-LassoCV] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLars-LassoLars] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsCV-LassoLarsCV] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsIC-LassoLarsIC] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LatentDirichletAllocation-LatentDirichletAllocation] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LedoitWolf-LedoitWolf] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearDiscriminantAnalysis-LinearDiscriminantAnalysis] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearRegression-LinearRegression] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVC-LinearSVC] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVR-LinearSVR] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocalOutlierFactor-LocalOutlierFactor] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocallyLinearEmbedding-LocallyLinearEmbedding] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegression-LogisticRegression] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegressionCV-LogisticRegressionCV] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MDS-MDS] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPClassifier-MLPClassifier] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPRegressor-MLPRegressor] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MaxAbsScaler-MaxAbsScaler] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MeanShift-MeanShift] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinCovDet-MinCovDet] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinMaxScaler-MinMaxScaler] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchDictionaryLearning-MiniBatchDictionaryLearning] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchKMeans-MiniBatchKMeans] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchSparsePCA-MiniBatchSparsePCA] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MissingIndicator-MissingIndicator] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiLabelBinarizer-MultiLabelBinarizer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputClassifier-MultiOutputClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputRegressor-MultiOutputRegressor] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNet-MultiTaskElasticNet] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNetCV-MultiTaskElasticNetCV] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLasso-MultiTaskLasso] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLassoCV-MultiTaskLassoCV] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultinomialNB-MultinomialNB] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NMF-NMF] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestCentroid-NearestCentroid] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestNeighbors-NearestNeighbors] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NeighborhoodComponentsAnalysis-NeighborhoodComponentsAnalysis] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NoSampleWeightWrapper-NoSampleWeightWrapper] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Normalizer-Normalizer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVC-NuSVC] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVR-NuSVR] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Nystroem-Nystroem] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OAS-OAS] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OPTICS-OPTICS] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneClassSVM-OneClassSVM] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneHotEncoder-OneHotEncoder] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsOneClassifier-OneVsOneClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsRestClassifier-OneVsRestClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrdinalEncoder-OrdinalEncoder] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuitCV-OrthogonalMatchingPursuitCV] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OutputCodeClassifier-OutputCodeClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PCA-PCA] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSCanonical-PLSCanonical] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSRegression-PLSRegression] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSSVD-PLSSVD] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveClassifier-PassiveAggressiveClassifier] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveRegressor-PassiveAggressiveRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PatchExtractor-PatchExtractor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Perceptron-Perceptron] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Pipeline-Pipeline] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PoissonRegressor-PoissonRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PolynomialFeatures-PolynomialFeatures] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PowerTransformer-PowerTransformer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuadraticDiscriminantAnalysis-QuadraticDiscriminantAnalysis] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuantileTransformer-QuantileTransformer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RANSACRegressor-RANSACRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RBFSampler-RBFSampler] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFE-RFE] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFECV-RFECV] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsClassifier-RadiusNeighborsClassifier] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsRegressor-RadiusNeighborsRegressor] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsTransformer-RadiusNeighborsTransformer] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomForestClassifier-RandomForestClassifier] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomForestRegressor-RandomForestRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomTreesEmbedding-RandomTreesEmbedding] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomizedSearchCV-RandomizedSearchCV] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RegressorChain-RegressorChain] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Ridge-Ridge] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeCV-RidgeCV] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeClassifier-RidgeClassifier] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeClassifierCV-RidgeClassifierCV] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RobustScaler-RobustScaler] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SGDClassifier-SGDClassifier] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SGDRegressor-SGDRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SVC-SVC] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SVR-SVR] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFdr-SelectFdr] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFpr-SelectFpr] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFromModel-SelectFromModel] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFwe-SelectFwe] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectKBest-SelectKBest] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectPercentile-SelectPercentile] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ShrunkCovariance-ShrunkCovariance] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SimpleImputer-SimpleImputer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SkewedChi2Sampler-SkewedChi2Sampler] XFAIL [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SparseCoder-SparseCoder] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SparsePCA-SparsePCA] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SparseRandomProjection-SparseRandomProjection] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SpectralBiclustering-SpectralBiclustering] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SpectralClustering-SpectralClustering] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SpectralCoclustering-SpectralCoclustering] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SpectralEmbedding-SpectralEmbedding] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[StackingClassifier-StackingClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[StackingRegressor-StackingRegressor] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[StandardScaler-StandardScaler] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TSNE-TSNE] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TfidfTransformer-TfidfTransformer] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TfidfVectorizer-TfidfVectorizer] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TheilSenRegressor-TheilSenRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TransformedTargetRegressor-TransformedTargetRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TruncatedSVD-TruncatedSVD] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TweedieRegressor-TweedieRegressor] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VarianceThreshold-VarianceThreshold] PASSED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VotingClassifier-VotingClassifier] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VotingRegressor-VotingRegressor] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_BaseEncoder-_BaseEncoder] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_BaseImputer-_BaseImputer] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_BaseRidgeCV-_BaseRidgeCV] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_BinMapper-_BinMapper] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_BinaryGaussianProcessClassifierLaplace-_BinaryGaussianProcessClassifierLaplace] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_ConstantPredictor-_ConstantPredictor] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_RidgeGCV-_RidgeGCV] SKIPPED [ 90%]
> sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[_SigmoidCalibration-_SigmoidCalibration] SKIPPED [ 90%]
> sklearn/tests/test_dummy.py::test_most_frequent_and_prior_strategy PASSED [ 90%]
> sklearn/tests/test_dummy.py::test_most_frequent_and_prior_strategy_with_2d_column_y PASSED [ 90%]
> sklearn/tests/test_dummy.py::test_most_frequent_and_prior_strategy_multioutput PASSED [ 90%]
> sklearn/tests/test_dummy.py::test_stratified_strategy PASSED             [ 90%]
> sklearn/tests/test_dummy.py::test_stratified_strategy_multioutput PASSED [ 90%]
> sklearn/tests/test_dummy.py::test_uniform_strategy PASSED                [ 90%]
> sklearn/tests/test_dummy.py::test_uniform_strategy_multioutput PASSED    [ 90%]
> sklearn/tests/test_dummy.py::test_string_labels PASSED                   [ 90%]
> sklearn/tests/test_dummy.py::test_classifier_score_with_None[y0-y_test0] PASSED [ 90%]
> sklearn/tests/test_dummy.py::test_classifier_score_with_None[y1-y_test1] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_prediction_independent_of_X[stratified] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_prediction_independent_of_X[most_frequent] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_prediction_independent_of_X[prior] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_prediction_independent_of_X[uniform] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_prediction_independent_of_X[constant] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classifier_exceptions PASSED           [ 91%]
> sklearn/tests/test_dummy.py::test_mean_strategy_regressor PASSED         [ 91%]
> sklearn/tests/test_dummy.py::test_mean_strategy_multioutput_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_exceptions PASSED            [ 91%]
> sklearn/tests/test_dummy.py::test_median_strategy_regressor PASSED       [ 91%]
> sklearn/tests/test_dummy.py::test_median_strategy_multioutput_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_quantile_strategy_regressor PASSED     [ 91%]
> sklearn/tests/test_dummy.py::test_quantile_strategy_multioutput_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_quantile_invalid PASSED                [ 91%]
> sklearn/tests/test_dummy.py::test_quantile_strategy_empty_train PASSED   [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_regressor PASSED     [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_multioutput_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_y_mean_attribute_regressor PASSED      [ 91%]
> sklearn/tests/test_dummy.py::test_unknown_strategey_regressor PASSED     [ 91%]
> sklearn/tests/test_dummy.py::test_constants_not_specified_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_size_multioutput_regressor PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy PASSED               [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_multioutput PASSED   [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_exceptions[no-constant] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_exceptions[too-many-constant] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_exceptions[not-enough-output] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_exceptions[single-output] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_exceptions[multi-output] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_classification_sample_weight PASSED    [ 91%]
> sklearn/tests/test_dummy.py::test_constant_strategy_sparse_target PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_uniform_strategy_sparse_target_warning PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_stratified_strategy_sparse_target PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_most_frequent_and_prior_strategy_sparse_target PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dummy_regressor_sample_weight PASSED   [ 91%]
> sklearn/tests/test_dummy.py::test_dummy_regressor_on_3D_array PASSED     [ 91%]
> sklearn/tests/test_dummy.py::test_dummy_classifier_on_3D_array PASSED    [ 91%]
> sklearn/tests/test_dummy.py::test_dummy_regressor_return_std PASSED      [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_score_with_None[y0-y_test0] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_score_with_None[y1-y_test1] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_prediction_independent_of_X[mean] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_prediction_independent_of_X[median] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_prediction_independent_of_X[quantile] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_regressor_prediction_independent_of_X[constant] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dtype_of_classifier_probas[stratified] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dtype_of_classifier_probas[most_frequent] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dtype_of_classifier_probas[prior] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dtype_of_classifier_probas[uniform] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_dtype_of_classifier_probas[constant] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_n_features_in_[DummyRegressor] PASSED  [ 91%]
> sklearn/tests/test_dummy.py::test_n_features_in_[DummyClassifier] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_outputs_2d_deprecation[DummyRegressor] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_outputs_2d_deprecation[DummyClassifier] PASSED [ 91%]
> sklearn/tests/test_dummy.py::test_strategy_stratified_deprecated_for_prior PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.utils.mocking-MockDataFrame] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.bagging-BaggingClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.base-BaseEnsemble] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.forest-RandomForestClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.gradient_boosting-GradientBoostingClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.iforest-IsolationForest] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.voting-VotingClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.ensemble.weight_boosting-AdaBoostClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.tree.tree-DecisionTreeClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.tree.export-export_graphviz] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neural_network.rbm-BernoulliRBM] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neural_network.multilayer_perceptron-MLPClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.utils.weight_vector-WeightVector] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.utils.seq_dataset-ArrayDataset32] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.utils.fast_dict-IntFloatDict] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.affinity_propagation_-AffinityPropagation] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.bicluster-SpectralBiclustering] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.birch-Birch] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.dbscan_-DBSCAN] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.hierarchical-FeatureAgglomeration] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.k_means_-KMeans] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.mean_shift_-MeanShift] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.optics_-OPTICS] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cluster.spectral-SpectralClustering] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.mixture.base-BaseMixture] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.mixture.gaussian_mixture-GaussianMixture] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.mixture.bayesian_mixture-BayesianGaussianMixture] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.covariance.empirical_covariance_-EmpiricalCovariance] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.covariance.shrunk_covariance_-ShrunkCovariance] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.covariance.robust_covariance-MinCovDet] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.covariance.graph_lasso_-GraphicalLasso] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.covariance.elliptic_envelope-EllipticEnvelope] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cross_decomposition.cca_-CCA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.cross_decomposition.pls_-PLSSVD] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.base-BaseLibSVM] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.bounds-l1_min_c] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.classes-SVR] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.libsvm-fit] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.libsvm_sparse-set_verbosity_wrap] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.svm.liblinear-train_wrap] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.base-BaseEstimator] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.dict_learning-MiniBatchDictionaryLearning] SKIPPED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.cdnmf_fast-__dict__] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.factor_analysis-FactorAnalysis] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.fastica_-FastICA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.incremental_pca-IncrementalPCA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.kernel_pca-KernelPCA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.nmf-NMF] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.online_lda-LatentDirichletAllocation] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.online_lda_fast-mean_change] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.pca-PCA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.sparse_pca-SparsePCA] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.decomposition.truncated_svd-TruncatedSVD] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.gaussian_process.gpr-GaussianProcessRegressor] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.gaussian_process.gpc-GaussianProcessClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.base-get_data_home] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.california_housing-fetch_california_housing] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.covtype-fetch_covtype] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.kddcup99-fetch_kddcup99] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.lfw-fetch_lfw_people] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.olivetti_faces-fetch_olivetti_faces] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.openml-fetch_openml] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.rcv1-fetch_rcv1] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.samples_generator-make_classification] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.species_distributions-fetch_species_distributions] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.svmlight_format-load_svmlight_file] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.datasets.twenty_newsgroups-strip_newsgroup_header] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_extraction.dict_vectorizer-DictVectorizer] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_extraction.hashing-FeatureHasher] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_extraction.stop_words-ENGLISH_STOP_WORDS] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.base-LinearRegression] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.cd_fast-sparse_enet_coordinate_descent] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.bayes-BayesianRidge] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.coordinate_descent-Lasso] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.huber-HuberRegressor] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.least_angle-LassoLarsCV] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.logistic-LogisticRegression] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.omp-OrthogonalMatchingPursuit] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.passive_aggressive-PassiveAggressiveClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.perceptron-Perceptron] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.ransac-RANSACRegressor] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.ridge-Ridge] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.sag-get_auto_step_size] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.sag_fast-MultinomialLogLoss64] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.sgd_fast-Hinge] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.stochastic_gradient-SGDClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.linear_model.theil_sen-TheilSenRegressor] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.cluster.bicluster-consensus_score] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.cluster.supervised-entropy] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.cluster.unsupervised-silhouette_score] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.cluster.expected_mutual_info_fast-expected_mutual_information] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.base-combinations] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.classification-accuracy_score] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.regression-max_error] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.ranking-roc_curve] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.pairwise_fast-np] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.metrics.scorer-get_scorer] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.inspection.partial_dependence-partial_dependence] SKIPPED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.ball_tree-BallTree] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.base-VALID_METRICS] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.classification-KNeighborsClassifier] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.dist_metrics-DistanceMetric] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.graph-KNeighborsTransformer] PASSED [ 91%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.kd_tree-KDTree] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.kde-KernelDensity] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.lof-LocalOutlierFactor] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.nca-NeighborhoodComponentsAnalysis] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.nearest_centroid-NearestCentroid] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.quad_tree-CELL_DTYPE] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.regression-KNeighborsRegressor] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.typedefs-DTYPE] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.neighbors.unsupervised-NearestNeighbors] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.manifold.isomap-Isomap] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.manifold.locally_linear-LocallyLinearEmbedding] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.manifold.mds-MDS] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.manifold.spectral_embedding_-SpectralEmbedding] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.manifold.t_sne-TSNE] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.semi_supervised.label_propagation-LabelPropagation] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.preprocessing.data-Binarizer] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.preprocessing.label-LabelEncoder] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.base-SelectorMixin] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.from_model-SelectFromModel] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.mutual_info-mutual_info_regression] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.rfe-RFE] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.univariate_selection-chi2] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.feature_selection.variance_threshold-VarianceThreshold] PASSED [ 92%]
> sklearn/tests/test_import_deprecations.py::test_import_is_deprecated[sklearn.utils.testing-all_estimators] PASSED [ 92%]
> sklearn/tests/test_init.py::test_import_skl PASSED                       [ 92%]
> sklearn/tests/test_isotonic.py::test_permutation_invariance PASSED       [ 92%]
> sklearn/tests/test_isotonic.py::test_check_increasing_small_number_of_samples PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_check_increasing_up PASSED          [ 92%]
> sklearn/tests/test_isotonic.py::test_check_increasing_up_extreme PASSED  [ 92%]
> sklearn/tests/test_isotonic.py::test_check_increasing_down PASSED        [ 92%]
> sklearn/tests/test_isotonic.py::test_check_increasing_down_extreme PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_check_ci_warn PASSED                [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression PASSED          [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_ties_min PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_ties_max PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_ties_secondary_ PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_with_ties_in_differently_sized_groups PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_reversed PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_auto_decreasing PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_auto_increasing PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_assert_raises_exceptions PASSED     [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_sample_weight_parameter_default_value PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_min_max_boundaries PASSED  [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_sample_weight PASSED       [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_oob_raise PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_oob_clip PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_oob_nan PASSED  [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_oob_bad PASSED  [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_oob_bad_after PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_regression_pickle PASSED   [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_duplicate_min_entry PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_ymin_ymax PASSED           [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_zero_weight_loop PASSED    [ 92%]
> sklearn/tests/test_isotonic.py::test_fast_predict PASSED                 [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_copy_before_fit PASSED     [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_dtype PASSED               [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_mismatched_dtype[int32] PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_mismatched_dtype[int64] PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_mismatched_dtype[float32] PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_isotonic_mismatched_dtype[float64] PASSED [ 92%]
> sklearn/tests/test_isotonic.py::test_make_unique_dtype PASSED            [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_additive_chi2_sampler PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_skewed_chi2_sampler PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_additive_chi2_sampler_exceptions PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_rbf_sampler PASSED      [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_input_validation PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_approximation PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_default_parameters PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_singular_kernel PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_poly_kernel_params PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_callable PASSED [ 92%]
> sklearn/tests/test_kernel_approximation.py::test_nystroem_precomputed_kernel PASSED [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge PASSED             [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_csr PASSED         [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_csc PASSED         [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_singular_kernel PASSED [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_precomputed PASSED [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_precomputed_kernel_unchanged PASSED [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_sample_weights PASSED [ 92%]
> sklearn/tests/test_kernel_ridge.py::test_kernel_ridge_multi_output PASSED [ 92%]
> sklearn/tests/test_metaestimators.py::test_metaestimator_delegation PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_exceptions PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_check_classification_targets PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_fit_predict PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_partial_fit PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_partial_fit_exceptions PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_ovo_regressor PASSED          [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_fit_predict_sparse PASSED     [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_always_present PASSED         [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_multiclass PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_binary PASSED                 [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_multilabel PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_fit_predict_svc PASSED        [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_multilabel_dataset PASSED     [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_multilabel_predict_proba PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_single_label_predict_proba PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_multilabel_decision_function PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_single_label_decision_function PASSED [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_gridsearch PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_pipeline PASSED               [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_coef_ PASSED                  [ 92%]
> sklearn/tests/test_multiclass.py::test_ovr_coef_exceptions PASSED        [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_exceptions PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_fit_on_list PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_fit_predict PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_partial_fit_predict PASSED    [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_decision_function PASSED      [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_gridsearch PASSED             [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_ties PASSED                   [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_ties2 PASSED                  [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_string_y PASSED               [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_one_class PASSED              [ 92%]
> sklearn/tests/test_multiclass.py::test_ovo_float_y PASSED                [ 92%]
> sklearn/tests/test_multiclass.py::test_ecoc_exceptions PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ecoc_fit_predict PASSED           [ 92%]
> sklearn/tests/test_multiclass.py::test_ecoc_gridsearch PASSED            [ 92%]
> sklearn/tests/test_multiclass.py::test_ecoc_float_y PASSED               [ 92%]
> sklearn/tests/test_multiclass.py::test_pairwise_indices PASSED           [ 92%]
> sklearn/tests/test_multiclass.py::test_pairwise_attribute PASSED         [ 92%]
> sklearn/tests/test_multiclass.py::test_pairwise_cross_val_score PASSED   [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_regression PASSED   [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_regression_partial_fit PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_regression_one_target PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_sparse_regression PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_sample_weights_api PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_sample_weight_partial_fit PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_target_sample_weights PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification_partial_fit_parallelism PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_hasattr_multi_output_predict_proba PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_predict_proba PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification_partial_fit PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification_partial_fit_no_first_classes_exception PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multiclass_multioutput_estimator PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multiclass_multioutput_estimator_predict_proba PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification_sample_weights PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classification_partial_fit_sample_weights PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_exceptions PASSED   [ 92%]
> sklearn/tests/test_multioutput.py::test_classifier_chain_fit_and_predict_with_linear_svc PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_classifier_chain_fit_and_predict_with_sparse_data PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_base_chain_fit_and_predict PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_base_chain_fit_and_predict_with_sparse_data_and_cv PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_base_chain_random_order PASSED   [ 92%]
> sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classes_[estimator0] PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classes_[estimator1] PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multi_output_classes_[estimator2] PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_deprecation PASSED               [ 92%]
> sklearn/tests/test_multioutput.py::test_multioutput_estimator_with_fit_params[estimator0-dataset0] PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_multioutput_estimator_with_fit_params[estimator1-dataset1] PASSED [ 92%]
> sklearn/tests/test_multioutput.py::test_regressor_chain_w_fit_params PASSED [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb PASSED                       [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb_prior PASSED                 [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb_sample_weight PASSED         [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb_neg_priors PASSED            [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb_priors PASSED                [ 92%]
> sklearn/tests/test_naive_bayes.py::test_gnb_priors_sum_isclose PASSED    [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_wrong_nb_priors PASSED       [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_prior_greater_one PASSED     [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_prior_large_bias PASSED      [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_check_update_with_no_data PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_pfit_wrong_nb_features PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_partial_fit PASSED           [ 93%]
> sklearn/tests/test_naive_bayes.py::test_gnb_naive_bayes_scale_invariance PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_prior[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_prior[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_prior[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_partial_fit[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_partial_fit[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_partial_fit[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_pickle[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_pickle[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_pickle[GaussianNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_pickle[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_fit[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_fit[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_fit[GaussianNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_fit[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_partial_fit[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_partial_fit[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_input_check_partial_fit[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_predict_proba PASSED  [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_uniform_prior[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_uniform_prior[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_uniform_prior[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior_with_partial_fit[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior_with_partial_fit[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_provide_prior_with_partial_fit[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_sample_weight_multiclass[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_sample_weight_multiclass[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_sample_weight_multiclass[CategoricalNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_coef_intercept_shape[BernoulliNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_discretenb_coef_intercept_shape[MultinomialNB] PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_mnnb[dense] PASSED               [ 93%]
> sklearn/tests/test_naive_bayes.py::test_mnnb[sparse] PASSED              [ 93%]
> sklearn/tests/test_naive_bayes.py::test_mnb_prior_unobserved_targets PASSED [ 93%]
> sklearn/tests/test_naive_bayes.py::test_mnb_sample_weight PASSED         [ 93%]
> sklearn/tests/test_naive_bayes.py::test_bnb PASSED                       [ 93%]
> sklearn/tests/test_naive_bayes.py::test_bnb_feature_log_prob PASSED      [ 93%]
> sklearn/tests/test_naive_bayes.py::test_cnb PASSED                       [ 93%]
> sklearn/tests/test_naive_bayes.py::test_categoricalnb PASSED             [ 93%]
> sklearn/tests/test_naive_bayes.py::test_alpha PASSED                     [ 93%]
> sklearn/tests/test_naive_bayes.py::test_alpha_vector PASSED              [ 93%]
> sklearn/tests/test_naive_bayes.py::test_check_accuracy_on_digits PASSED  [ 93%]
> sklearn/tests/test_naive_bayes.py::test_deprecations PASSED              [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_init PASSED                [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_init_tuple PASSED          [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_methods_anova PASSED       [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_fit_params PASSED          [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_sample_weight_supported PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_sample_weight_unsupported PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_raise_set_params_error PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_methods_pca_svm PASSED     [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_score_samples_pca_lof PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_score_samples_on_pipeline_without_score_samples PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_methods_preprocessing_svm PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_fit_predict_on_pipeline PASSED      [ 93%]
> sklearn/tests/test_pipeline.py::test_fit_predict_on_pipeline_without_fit_predict PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_fit_predict_with_intermediate_fit_params PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_predict_with_predict_params PASSED  [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union PASSED                [ 93%]
> sklearn/tests/test_pipeline.py::test_make_union PASSED                   [ 93%]
> sklearn/tests/test_pipeline.py::test_make_union_kwargs PASSED            [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_transform PASSED           [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_fit_transform PASSED       [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_slice PASSED               [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_index PASSED               [ 93%]
> sklearn/tests/test_pipeline.py::test_set_pipeline_steps PASSED           [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_named_steps PASSED         [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_correctly_adjusts_steps[None] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_correctly_adjusts_steps[passthrough] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_set_pipeline_step_passthrough[None] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_set_pipeline_step_passthrough[passthrough] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_ducktyping PASSED          [ 93%]
> sklearn/tests/test_pipeline.py::test_make_pipeline PASSED                [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union_weights PASSED        [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union_parallel PASSED       [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union_feature_names PASSED  [ 93%]
> sklearn/tests/test_pipeline.py::test_classes_property PASSED             [ 93%]
> sklearn/tests/test_pipeline.py::test_set_feature_union_steps PASSED      [ 93%]
> sklearn/tests/test_pipeline.py::test_set_feature_union_step_drop[drop] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_set_feature_union_step_drop[None] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_step_name_validation PASSED         [ 93%]
> sklearn/tests/test_pipeline.py::test_set_params_nested_pipeline PASSED   [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_wrong_memory PASSED        [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_with_cache_attribute PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_memory PASSED              [ 93%]
> sklearn/tests/test_pipeline.py::test_make_pipeline_memory PASSED         [ 93%]
> sklearn/tests/test_pipeline.py::test_pipeline_param_error PASSED         [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est0-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing clf.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est1-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing clf.* total=.*\\n$-fit_predict] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est2-\\[Pipeline\\].*\\(step 1 of 3\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 3\\) Processing noop.* total=.*\\n\\[Pipeline\\].*\\(step 3 of 3\\) Processing clf.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est3-\\[Pipeline\\].*\\(step 1 of 3\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 3\\) Processing noop.* total=.*\\n\\[Pipeline\\].*\\(step 3 of 3\\) Processing clf.* total=.*\\n$-fit_predict] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est4-\\[Pipeline\\].*\\(step 1 of 3\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 3\\) Processing noop.* total=.*\\n\\[Pipeline\\].*\\(step 3 of 3\\) Processing clf.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est5-\\[Pipeline\\].*\\(step 1 of 3\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 3\\) Processing noop.* total=.*\\n\\[Pipeline\\].*\\(step 3 of 3\\) Processing clf.* total=.*\\n$-fit_predict] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est6-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing clf.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est7-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing clf.* total=.*\\n$-fit_transform] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est8-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing mult.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est9-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing mult.* total=.*\\n$-fit_transform] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est10-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing mult.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est11-\\[Pipeline\\].*\\(step 1 of 2\\) Processing transf.* total=.*\\n\\[Pipeline\\].*\\(step 2 of 2\\) Processing mult.* total=.*\\n$-fit_transform] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est12-\\[FeatureUnion\\].*\\(step 1 of 2\\) Processing mult1.* total=.*\\n\\[FeatureUnion\\].*\\(step 2 of 2\\) Processing mult2.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est13-\\[FeatureUnion\\].*\\(step 1 of 2\\) Processing mult1.* total=.*\\n\\[FeatureUnion\\].*\\(step 2 of 2\\) Processing mult2.* total=.*\\n$-fit_transform] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est14-\\[FeatureUnion\\].*\\(step 1 of 1\\) Processing mult2.* total=.*\\n$-fit] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_verbose[est15-\\[FeatureUnion\\].*\\(step 1 of 1\\) Processing mult2.* total=.*\\n$-fit_transform] PASSED [ 93%]
> sklearn/tests/test_pipeline.py::test_n_features_in_pipeline PASSED       [ 93%]
> sklearn/tests/test_pipeline.py::test_n_features_in_feature_union PASSED  [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union_fit_params PASSED     [ 93%]
> sklearn/tests/test_pipeline.py::test_feature_union_warns_with_none PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_invalid_jl_domain PASSED   [ 93%]
> sklearn/tests/test_random_projection.py::test_input_size_jl_min_dim PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_basic_property_of_random_matrix[_sparse_random_matrix] PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_basic_property_of_random_matrix[_gaussian_random_matrix] PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_basic_property_of_sparse_random_matrix[_sparse_random_matrix] PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_gaussian_random_matrix PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_sparse_random_matrix PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_sparse_random_projection_transformer_invalid_density PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_random_projection_transformer_invalid_input PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_try_to_transform_before_fit PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_too_many_samples_to_find_a_safe_embedding PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_random_projection_embedding_quality PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_SparseRandomProjection_output_representation PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_correct_RandomProjection_dimensions_embedding PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_warning_n_components_greater_than_n_features PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_works_with_sparse_data PASSED [ 93%]
> sklearn/tests/test_random_projection.py::test_deprecations PASSED        [ 93%]
> sklearn/tree/tests/test_export.py::test_graphviz_toy PASSED              [ 93%]
> sklearn/tree/tests/test_export.py::test_graphviz_errors PASSED           [ 93%]
> sklearn/tree/tests/test_export.py::test_friedman_mse_in_graphviz PASSED  [ 93%]
> sklearn/tree/tests/test_export.py::test_precision PASSED                 [ 93%]
> sklearn/tree/tests/test_export.py::test_export_text_errors PASSED        [ 93%]
> sklearn/tree/tests/test_export.py::test_export_text PASSED               [ 93%]
> sklearn/tree/tests/test_export.py::test_plot_tree_entropy PASSED         [ 93%]
> sklearn/tree/tests/test_export.py::test_plot_tree_gini PASSED            [ 93%]
> sklearn/tree/tests/test_export.py::test_plot_tree_rotate_deprecation PASSED [ 93%]
> sklearn/tree/tests/test_export.py::test_not_fitted_tree PASSED           [ 93%]
> sklearn/tree/tests/test_reingold_tilford.py::test_buchheim[tree0-3] PASSED [ 93%]
> sklearn/tree/tests/test_reingold_tilford.py::test_buchheim[tree1-9] PASSED [ 93%]
> sklearn/tree/tests/test_tree.py::test_classification_toy PASSED          [ 93%]
> sklearn/tree/tests/test_tree.py::test_weighted_classification_toy PASSED [ 93%]
> sklearn/tree/tests/test_tree.py::test_regression_toy PASSED              [ 93%]
> sklearn/tree/tests/test_tree.py::test_xor PASSED                         [ 93%]
> sklearn/tree/tests/test_tree.py::test_iris PASSED                        [ 93%]
> sklearn/tree/tests/test_tree.py::test_boston PASSED                      [ 93%]
> sklearn/tree/tests/test_tree.py::test_probability PASSED                 [ 93%]
> sklearn/tree/tests/test_tree.py::test_arrayrepr PASSED                   [ 93%]
> sklearn/tree/tests/test_tree.py::test_pure_set PASSED                    [ 93%]
> sklearn/tree/tests/test_tree.py::test_numerical_stability PASSED         [ 93%]
> sklearn/tree/tests/test_tree.py::test_importances PASSED                 [ 93%]
> sklearn/tree/tests/test_tree.py::test_importances_raises PASSED          [ 93%]
> sklearn/tree/tests/test_tree.py::test_importances_gini_equal_mse PASSED  [ 93%]
> sklearn/tree/tests/test_tree.py::test_max_features PASSED                [ 94%]
> sklearn/tree/tests/test_tree.py::test_error PASSED                       [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_samples_split PASSED           [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_samples_leaf PASSED            [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_sparse_input[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_sparse_input[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_sparse_input[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_sparse_input[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_impurity_split PASSED          [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_impurity_decrease PASSED       [ 94%]
> sklearn/tree/tests/test_tree.py::test_multioutput PASSED                 [ 94%]
> sklearn/tree/tests/test_tree.py::test_classes_shape PASSED               [ 94%]
> sklearn/tree/tests/test_tree.py::test_unbalanced_iris PASSED             [ 94%]
> sklearn/tree/tests/test_tree.py::test_memory_layout PASSED               [ 94%]
> sklearn/tree/tests/test_tree.py::test_sample_weight PASSED               [ 94%]
> sklearn/tree/tests/test_tree.py::test_sample_weight_invalid PASSED       [ 94%]
> sklearn/tree/tests/test_tree.py::test_class_weights[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_class_weights[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_class_weight_errors[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_class_weight_errors[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_max_leaf_nodes PASSED              [ 94%]
> sklearn/tree/tests/test_tree.py::test_max_leaf_nodes_max_depth PASSED    [ 94%]
> sklearn/tree/tests/test_tree.py::test_arrays_persist PASSED              [ 94%]
> sklearn/tree/tests/test_tree.py::test_only_constant_features PASSED      [ 94%]
> sklearn/tree/tests/test_tree.py::test_behaviour_constant_feature_after_splits PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_with_only_one_non_constant_features PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_big_input PASSED                   [ 94%]
> sklearn/tree/tests/test_tree.py::test_realloc PASSED                     [ 94%]
> sklearn/tree/tests/test_tree.py::test_huge_allocations PASSED            [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[clf_small-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[clf_small-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[clf_small-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[clf_small-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[toy-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[toy-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[toy-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[toy-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[digits-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[digits-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[digits-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[digits-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[multilabel-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[multilabel-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[multilabel-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[multilabel-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-pos-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-pos-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-pos-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-pos-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-neg-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-neg-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-neg-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-neg-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-mix-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-mix-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-mix-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[sparse-mix-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[zeros-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[zeros-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[zeros-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input[zeros-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input_reg_trees[boston-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input_reg_trees[boston-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input_reg_trees[reg_small-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse_input_reg_trees[reg_small-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-pos-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-pos-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-pos-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-pos-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-neg-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-neg-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-neg-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-neg-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-mix-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-mix-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-mix-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-sparse-mix-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-zeros-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-zeros-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-zeros-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_parameters-zeros-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-pos-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-pos-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-pos-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-pos-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-neg-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-neg-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-neg-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-neg-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-mix-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-mix-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-mix-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-sparse-mix-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-zeros-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-zeros-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-zeros-ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_sparse[check_sparse_criterion-zeros-ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_1d_input[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_1d_input[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_1d_input[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_1d_input[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_leaf_split_level[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_leaf_split_level[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_leaf_split_level[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_min_weight_leaf_split_level[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_all_trees[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_all_trees[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_all_trees[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_all_trees[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_sparse_trees[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_sparse_trees[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_sparse_trees[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_public_apply_sparse_trees[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[auto-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[auto-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[True-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[True-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[False-DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_presort_deprecated[False-DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_decision_path_hardcoded PASSED     [ 94%]
> sklearn/tree/tests/test_tree.py::test_decision_path[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_decision_path[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_decision_path[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_decision_path[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_no_sparse_y_support[DecisionTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_no_sparse_y_support[ExtraTreeClassifier] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_no_sparse_y_support[DecisionTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_no_sparse_y_support[ExtraTreeRegressor] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_mae PASSED                         [ 94%]
> sklearn/tree/tests/test_tree.py::test_criterion_copy PASSED              [ 94%]
> sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-clf_small-gini] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-clf_small-entropy] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-digits-gini] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-digits-entropy] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-iris-gini] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-iris-entropy] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-multilabel-gini] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-multilabel-entropy] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-mix-gini] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-mix-entropy] PASSED [ 94%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-neg-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-neg-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-pos-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-sparse-pos-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-toy-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-toy-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-zeros-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[DecisionTreeClassifier-zeros-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-clf_small-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-clf_small-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-digits-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-digits-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-iris-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-iris-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-multilabel-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-multilabel-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-mix-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-mix-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-neg-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-neg-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-pos-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-sparse-pos-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-toy-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-toy-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-zeros-gini] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_classifier_are_subtrees[ExtraTreeClassifier-zeros-entropy] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-iris-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-iris-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-iris-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-boston-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-boston-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-boston-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-digits-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-digits-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-digits-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-toy-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-toy-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-toy-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-clf_small-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-clf_small-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-clf_small-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-reg_small-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-reg_small-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-reg_small-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-multilabel-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-multilabel-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-multilabel-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-pos-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-pos-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-pos-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-neg-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-neg-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-neg-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-mix-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-mix-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-sparse-mix-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-zeros-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-zeros-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[DecisionTreeRegressor-zeros-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-iris-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-iris-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-iris-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-boston-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-boston-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-boston-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-digits-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-digits-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-digits-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-toy-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-toy-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-toy-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-clf_small-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-clf_small-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-clf_small-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-reg_small-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-reg_small-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-reg_small-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-multilabel-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-multilabel-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-multilabel-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-pos-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-pos-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-pos-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-neg-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-neg-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-neg-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-mix-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-mix-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-sparse-mix-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-zeros-mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-zeros-mae] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_regression_are_subtrees[ExtraTreeRegressor-zeros-friedman_mse] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_single_node_tree PASSED      [ 95%]
> sklearn/tree/tests/test_tree.py::test_prune_tree_raises_negative_ccp_alpha PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_classes_deprecated PASSED          [ 95%]
> sklearn/tree/tests/test_tree.py::test_apply_path_readonly_all_trees[DecisionTreeClassifier] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_apply_path_readonly_all_trees[ExtraTreeClassifier] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_apply_path_readonly_all_trees[DecisionTreeRegressor] PASSED [ 95%]
> sklearn/tree/tests/test_tree.py::test_apply_path_readonly_all_trees[ExtraTreeRegressor] PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_not_present PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_dict PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_invariance PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_balanced_negative PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_balanced_unordered PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_class_weight_default PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_sample_weight PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_sample_weight_with_subsample PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_sample_weight_errors PASSED [ 95%]
> sklearn/utils/tests/test_class_weight.py::test_compute_sample_weight_more_than_32 PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_dot[float32] PASSED        [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_dot[float64] PASSED        [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_asum[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_asum[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_axpy[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_axpy[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_nrm2[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_nrm2[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_copy[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_copy[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_scal[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_scal[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_rotg[float32] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_rotg[float64] PASSED       [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_rot[float32] PASSED        [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_rot[float64] PASSED        [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[RowMajor-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[RowMajor-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[RowMajor-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[RowMajor-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[ColMajor-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[ColMajor-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[ColMajor-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemv[ColMajor-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_ger[RowMajor-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_ger[RowMajor-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_ger[ColMajor-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_ger[ColMajor-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-NoTrans-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-NoTrans-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-NoTrans-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-NoTrans-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-Trans-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-Trans-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-Trans-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[RowMajor-Trans-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-NoTrans-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-NoTrans-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-NoTrans-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-NoTrans-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-Trans-NoTrans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-Trans-NoTrans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-Trans-Trans-float32] PASSED [ 95%]
> sklearn/utils/tests/test_cython_blas.py::test_gemm[ColMajor-Trans-Trans-float64] PASSED [ 95%]
> sklearn/utils/tests/test_deprecated_utils.py::test_choose_check_classifiers_labels_deprecated PASSED [ 95%]
> sklearn/utils/tests/test_deprecated_utils.py::test_enforce_estimator_tags_y PASSED [ 95%]
> sklearn/utils/tests/test_deprecated_utils.py::test_notanarray PASSED     [ 95%]
> sklearn/utils/tests/test_deprecated_utils.py::test_is_public_parameter PASSED [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_pairwise_estimator_convert_X PASSED [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_set_checking_parameters PASSED [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_newton_cg PASSED      [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_random_choice_csc PASSED [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_safe_indexing PASSED  [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_partial_dependence_no_shadowing PASSED [ 96%]
> sklearn/utils/tests/test_deprecated_utils.py::test_dict_learning_no_shadowing PASSED [ 96%]
> sklearn/utils/tests/test_deprecation.py::test_deprecated PASSED          [ 96%]
> sklearn/utils/tests/test_deprecation.py::test_is_deprecated PASSED       [ 96%]
> sklearn/utils/tests/test_deprecation.py::test_pickle PASSED              [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_not_an_array_array_function PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_fit_score_takes_y_works_on_deprecated_fit PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimator PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_outlier_corruption PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_transformer_no_mixin PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimators_unfitted PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_no_attributes_set_in_init PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_classifier_data_not_an_array PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_regressor_data_not_an_array PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_required_parameters_skip PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_check_class_weight_balanced_linear_classifier PASSED [ 96%]
> sklearn/utils/tests/test_estimator_checks.py::test_all_estimators_all_public PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_write_label_html[True] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_write_label_html[False] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_single_str_none[passthrough] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_single_str_none[drop] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_single_str_none[None] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_single_estimator PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_pipeline PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_feature_union PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_voting PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_get_visual_block_column_transformer PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_estimator_html_repr_pipeline PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_stacking_classsifer[None] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_stacking_classsifer[final_estimator1] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_stacking_regressor[None] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_stacking_regressor[final_estimator1] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_birch_duck_typing_meta PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_ovo_classifier_duck_typing_meta PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_duck_typing_nested_estimator PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_one_estimator_print_change_only[True] PASSED [ 96%]
> sklearn/utils/tests/test_estimator_html_repr.py::test_one_estimator_print_change_only[False] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_density PASSED                 [ 96%]
> sklearn/utils/tests/test_extmath.py::test_uniform_weights PASSED         [ 96%]
> sklearn/utils/tests/test_extmath.py::test_random_weights PASSED          [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_low_rank_all_dtypes[int32] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_low_rank_all_dtypes[int64] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_low_rank_all_dtypes[float32] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_low_rank_all_dtypes[float64] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_row_norms[float32] PASSED      [ 96%]
> sklearn/utils/tests/test_extmath.py::test_row_norms[float64] PASSED      [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_low_rank_with_noise PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_infinite_rank PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_transpose_consistency PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_power_iteration_normalizer PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_svd_flip PASSED                [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_sign_flip PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_randomized_svd_sign_flip_with_transpose PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_cartesian PASSED               [ 96%]
> sklearn/utils/tests/test_extmath.py::test_logistic_sigmoid PASSED        [ 96%]
> sklearn/utils/tests/test_extmath.py::test_incremental_variance_update_formulas PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_incremental_mean_and_variance_ignore_nan PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_incremental_variance_numerical_stability PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_incremental_variance_ddof PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_vector_sign_flip PASSED        [ 96%]
> sklearn/utils/tests/test_extmath.py::test_softmax PASSED                 [ 96%]
> sklearn/utils/tests/test_extmath.py::test_stable_cumsum PASSED           [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_min PASSED                [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d[dense-dense] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d[dense-sparse] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d[sparse-dense] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d[sparse-sparse] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_nd PASSED      [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d_1d[dense] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_2d_1d[sparse] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_dense_output[True] PASSED [ 96%]
> sklearn/utils/tests/test_extmath.py::test_safe_sparse_dot_dense_output[False] PASSED [ 96%]
> sklearn/utils/tests/test_fast_dict.py::test_int_float_dict PASSED        [ 96%]
> sklearn/utils/tests/test_fast_dict.py::test_int_float_dict_argmin PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_joblib_parallel_args[0.11] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_joblib_parallel_args[0.12.0] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_object_dtype_isnan[object-1] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_object_dtype_isnan[object-a] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_object_dtype_isnan[float-1] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_loguniform[-1-0-10] PASSED       [ 96%]
> sklearn/utils/tests/test_fixes.py::test_loguniform[0-2-2.718281828459045] PASSED [ 96%]
> sklearn/utils/tests/test_fixes.py::test_loguniform[-1-1-2] PASSED        [ 96%]
> sklearn/utils/tests/test_fixes.py::test_masked_array_deprecated PASSED   [ 96%]
> sklearn/utils/tests/test_metaestimators.py::test_delegated_docstring PASSED [ 96%]
> sklearn/utils/tests/test_metaestimators.py::test_if_delegate_has_method PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_unique_labels PASSED        [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_unique_labels_non_specific PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_unique_labels_mixed_types PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_is_multilabel PASSED        [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_check_classification_targets PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_type_of_target PASSED       [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_type_of_target_pandas_sparse PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_class_distribution PASSED   [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_safe_split_with_precomputed_kernel PASSED [ 96%]
> sklearn/utils/tests/test_multiclass.py::test_ovr_decision_function PASSED [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_mmhash3_int PASSED          [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_mmhash3_int_array PASSED    [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_mmhash3_bytes PASSED        [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_mmhash3_unicode PASSED      [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_no_collision_on_byte_range PASSED [ 96%]
> sklearn/utils/tests/test_murmurhash.py::test_uniform_distribution PASSED [ 96%]
> sklearn/utils/tests/test_optimize.py::test_newton_cg PASSED              [ 96%]
> sklearn/utils/tests/test_pprint.py::test_basic PASSED                    [ 96%]
> sklearn/utils/tests/test_pprint.py::test_changed_only PASSED             [ 96%]
> sklearn/utils/tests/test_pprint.py::test_pipeline PASSED                 [ 96%]
> sklearn/utils/tests/test_pprint.py::test_deeply_nested PASSED            [ 96%]
> sklearn/utils/tests/test_pprint.py::test_gridsearch PASSED               [ 96%]
> sklearn/utils/tests/test_pprint.py::test_gridsearch_pipeline PASSED      [ 96%]
> sklearn/utils/tests/test_pprint.py::test_n_max_elements_to_show PASSED   [ 96%]
> sklearn/utils/tests/test_pprint.py::test_bruteforce_ellipsis PASSED      [ 96%]
> sklearn/utils/tests/test_pprint.py::test_builtin_prettyprinter PASSED    [ 96%]
> sklearn/utils/tests/test_pprint.py::test_kwargs_in_init PASSED           [ 96%]
> sklearn/utils/tests/test_random.py::test_invalid_sample_without_replacement_algorithm PASSED [ 96%]
> sklearn/utils/tests/test_random.py::test_sample_without_replacement_algorithms PASSED [ 96%]
> sklearn/utils/tests/test_random.py::test_random_choice_csc PASSED        [ 96%]
> sklearn/utils/tests/test_random.py::test_random_choice_csc_errors PASSED [ 96%]
> sklearn/utils/tests/test_random.py::test_our_rand_r PASSED               [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_basic_iteration[make_dense_dataset_32] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_basic_iteration[make_dense_dataset_64] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_basic_iteration[make_sparse_dataset_32] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_basic_iteration[make_sparse_dataset_64] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_shuffle[make_dense_dataset_32-make_sparse_dataset_32] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_shuffle[make_dense_dataset_64-make_sparse_dataset_64] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_fused_types_consistency[make_dense_dataset_32-make_dense_dataset_64] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_fused_types_consistency[make_sparse_dataset_32-make_sparse_dataset_64] PASSED [ 96%]
> sklearn/utils/tests/test_seq_dataset.py::test_buffer_dtype_mismatch_error PASSED [ 96%]
> sklearn/utils/tests/test_shortest_path.py::test_floyd_warshall PASSED    [ 96%]
> sklearn/utils/tests/test_shortest_path.py::test_dijkstra PASSED          [ 96%]
> sklearn/utils/tests/test_shortest_path.py::test_shortest_path PASSED     [ 96%]
> sklearn/utils/tests/test_shortest_path.py::test_dijkstra_bug_fix PASSED  [ 96%]
> sklearn/utils/tests/test_show_versions.py::test_get_sys_info PASSED      [ 96%]
> sklearn/utils/tests/test_show_versions.py::test_get_deps_info PASSED     [ 96%]
> sklearn/utils/tests/test_show_versions.py::test_show_versions PASSED     [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_axis0 PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_axis1 PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[X10-X20] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[X11-X21] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_no_new_n PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-0] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-1] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-0] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-1] PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_illegal_axis PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_densify_rows PASSED        [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_inplace_column_scale PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_inplace_row_scale PASSED   [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_row PASSED    [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_column PASSED [ 96%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csr_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csr_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-nan-nanmin-nanmax-True-csc_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csr_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-0-amin-amax-False-csc_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csr_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-0-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-0-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-1-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-1-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-None-float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max[False-nan-nanmin-nanmax-True-csc_matrix-None-float64] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_min_max_axis_errors PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_count_nonzero PASSED       [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_csc_row_median PASSED      [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_inplace_normalize PASSED   [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_csr_row_norms[float32] PASSED [ 97%]
> sklearn/utils/tests/test_sparsefuncs.py::test_csr_row_norms[float64] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_less PASSED             [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_greater PASSED          [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_less_equal PASSED       [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_greater_equal PASSED    [ 97%]
> sklearn/utils/tests/test_testing.py::test_set_random_state PASSED        [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_allclose_dense_sparse PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_raises_msg PASSED       [ 97%]
> sklearn/utils/tests/test_testing.py::test_assert_raise_message PASSED    [ 97%]
> sklearn/utils/tests/test_testing.py::test_ignore_warning PASSED          [ 97%]
> sklearn/utils/tests/test_testing.py::TestWarns::test_warn PASSED         [ 97%]
> sklearn/utils/tests/test_testing.py::TestWarns::test_warn_wrong_warning PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_check_docstring_parameters PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_tempmemmap PASSED              [ 97%]
> sklearn/utils/tests/test_testing.py::test_create_memmap_backed_data PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertEqual-args0] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertNotEqual-args1] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertGreater-args2] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertGreaterEqual-args3] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertLess-args4] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertLessEqual-args5] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertIn-args6] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_deprecated_helpers[assertNotIn-args7] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[list-list] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[tuple-tuple] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[array-ndarray] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[sparse-csr_matrix] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[dataframe-DataFrame] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[series-Series] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[index-Index] PASSED [ 97%]
> sklearn/utils/tests/test_testing.py::test_convert_container[slice-slice] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_make_rng PASSED                  [ 97%]
> sklearn/utils/tests/test_utils.py::test_gen_batches PASSED               [ 97%]
> sklearn/utils/tests/test_utils.py::test_deprecated PASSED                [ 97%]
> sklearn/utils/tests/test_utils.py::test_resample PASSED                  [ 97%]
> sklearn/utils/tests/test_utils.py::test_resample_stratified PASSED       [ 97%]
> sklearn/utils/tests/test_utils.py::test_resample_stratified_replace PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_resample_stratify_2dy PASSED     [ 97%]
> sklearn/utils/tests/test_utils.py::test_resample_stratify_sparse_error PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_mask PASSED                 [ 97%]
> sklearn/utils/tests/test_utils.py::test_column_or_1d PASSED              [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[0-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[0-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[True-bool] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key3-bool] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key4-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key5-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key6-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key7-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key8-None] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key9-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key10-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key11-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key12-int] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key13-bool] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key14-bool] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key15-bool] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[col_0-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key17-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key18-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key19-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key20-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type[key21-str] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type_error PASSED  [ 97%]
> sklearn/utils/tests/test_utils.py::test_determine_key_type_slice_error PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[list-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[list-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[list-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[list-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[tuple-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[tuple-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[tuple-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[tuple-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[array-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[array-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[array-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[array-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[series-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[series-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[series-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[series-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[slice-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[slice-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[slice-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_0[slice-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[list-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[list-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[list-series] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[tuple-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[tuple-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[tuple-series] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[array-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[array-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[array-series] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[series-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[series-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[series-series] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[slice-list] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[slice-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container[slice-series] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-list-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-list-sparse] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-list-dataframe] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-tuple-array] PASSED [ 97%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-tuple-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-tuple-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-array-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-array-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-series-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-series-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-series-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-slice-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-slice-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices0-slice-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-list-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-list-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-list-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-tuple-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-tuple-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-tuple-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-array-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-array-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-series-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-series-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-series-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-slice-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-slice-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_container_axis_1[indices1-slice-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-array-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-array-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-array-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-array-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-sparse-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-sparse-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-sparse-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-sparse-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-dataframe-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-dataframe-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-dataframe-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-array-dataframe-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-array-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-array-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-array-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-array-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-sparse-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-sparse-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-sparse-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-sparse-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-dataframe-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-dataframe-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-dataframe-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[0-expected_array0-series-dataframe-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-array-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-array-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-array-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-array-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-sparse-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-sparse-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-sparse-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-sparse-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-dataframe-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-dataframe-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-dataframe-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-array-dataframe-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-array-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-array-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-array-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-array-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-sparse-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-sparse-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-sparse-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-sparse-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-dataframe-True-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-dataframe-True-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-dataframe-False-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_read_only_axis_1[1-expected_array1-series-dataframe-False-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[list-list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[list-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[list-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[tuple-list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[tuple-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[tuple-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[array-list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[array-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[series-list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[series-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_container_mask[series-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-list-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-list-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-list-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-tuple-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-tuple-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-tuple-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-array-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-array-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-series-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-series-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[0-expected_subset0-series-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-list-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-list-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-list-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-tuple-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-tuple-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-tuple-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-array-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-array-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-series-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-series-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_mask[1-expected_subset1-series-dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_0[list-list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_0[array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_0[sparse-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_0[dataframe-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_scalar[list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_scalar[array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_scalar[series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[2-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[2-sparse-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[2-dataframe-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[col_2-array-array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[col_2-sparse-sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_2d_scalar_axis_1[col_2-dataframe-series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_None_axis_0[list] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_None_axis_0[array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_None_axis_0[sparse] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_pandas_no_matching_cols_error PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_error_axis[None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_error_axis[3] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_array_error[array] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_1d_array_error[series] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_safe_indexing_container_axis_0_unsupported_type PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_error[10-all features must be in \\[0, 2\\]] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_error[whatever-A given column is not a column of the dataframe] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_pandas_nonunique_columns_error[key0] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_pandas_nonunique_columns_error[key1] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_pandas_nonunique_columns_error[key2] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_pandas_nonunique_columns_error[key3] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_column_indices_pandas_nonunique_columns_error[key4] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_shuffle_on_ndim_equals_three PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_shuffle_dont_convert_to_array PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_gen_even_slices PASSED           [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1024-None-1-1024-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1024-None-0.99999999-1023-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1023-None-1-1025-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1025-None-1-1023-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1024-None-2-2048-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1024-7-1-7-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1048576-None-1-1-None] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_get_chunk_n_rows[1048577-None-1-1-Could not adhere to working_memory config. Currently 1MiB, 2MiB required.] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[0.2-   0.2s-ABC-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[0.2-   0.2s-ABCDEF-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[0.2-   0.2s-ABC-abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[0.2-   0.2s-ABCABCABCABCABCABCABCABCABCABC-abcdefghijklmnopqrstuvwxyz-True] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[0.2-   0.2s-ABC-abcdefghijklmnopqrstuvwxyz\u1048-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20-  20.0s-ABC-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20-  20.0s-ABCDEF-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 98%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20-  20.0s-ABC-abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20-  20.0s-ABCABCABCABCABCABCABCABCABCABC-abcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20-  20.0s-ABC-abcdefghijklmnopqrstuvwxyz\u1048-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[2000-33.3min-ABC-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[2000-33.3min-ABCDEF-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[2000-33.3min-ABC-abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[2000-33.3min-ABCABCABCABCABCABCABCABCABCABC-abcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[2000-33.3min-ABC-abcdefghijklmnopqrstuvwxyz\u1048-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20000-333.3min-ABC-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20000-333.3min-ABCDEF-abcdefghijklmnopqrstuvwxyz-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20000-333.3min-ABC-abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20000-333.3min-ABCABCABCABCABCABCABCABCABCABC-abcdefghijklmnopqrstuvwxyz-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_message_with_time[20000-333.3min-ABC-abcdefghijklmnopqrstuvwxyz\u1048-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_print_elapsed_time[hello-[ABC] ........................................... hello, total=   0.1s\n] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_print_elapsed_time[-[ABC] ................................................ , total=   0.1s\n] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_print_elapsed_time[None-] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[nan-True0] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[nan-True1] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[nan-True2] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[value3-True] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[nan-True3] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[0-False] PASSED    [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[0.0-False] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[None-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[-False] PASSED     [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[nan-False] PASSED  [ 99%]
> sklearn/utils/tests/test_utils.py::test_is_scalar_nan[value10-False] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_deprecation_joblib_api PASSED    [ 99%]
> sklearn/utils/tests/test_utils.py::test_to_object_array[sequence0] PASSED [ 99%]
> sklearn/utils/tests/test_utils.py::test_to_object_array[sequence1] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_as_float_array PASSED       [ 99%]
> sklearn/utils/tests/test_validation.py::test_as_float_array_nan[X0] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_as_float_array_nan[X1] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_np_matrix PASSED            [ 99%]
> sklearn/utils/tests/test_validation.py::test_memmap PASSED               [ 99%]
> sklearn/utils/tests/test_validation.py::test_ordering PASSED             [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[asarray-inf-False] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[asarray-nan-allow-nan] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[asarray-nan-False] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[csr_matrix-inf-False] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[csr_matrix-nan-allow-nan] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_valid[csr_matrix-nan-False] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[asarray-inf-True-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[asarray-inf-allow-nan-Input contains infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[asarray-nan-True-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[asarray-nan-allow-inf-force_all_finite should be a bool or "allow-nan"] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[asarray-nan-1-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[csr_matrix-inf-True-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[csr_matrix-inf-allow-nan-Input contains infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[csr_matrix-nan-True-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[csr_matrix-nan-allow-inf-force_all_finite should be a bool or "allow-nan"] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finiteinvalid[csr_matrix-nan-1-Input contains NaN, infinity] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[True-X0-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[True-X1-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[True-X2-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[True-X3-cannot convert float NaN to integer] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[False-X0-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[False-X1-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[False-X2-Input contains NaN, infinity or a value too large for.*int] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_force_all_finite_object_unsafe_casting[False-X3-cannot convert float NaN to integer] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array PASSED          [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[dtype0-float32-Int8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[dtype0-float32-Int16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[dtype0-float32-UInt8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[dtype0-float32-UInt16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[float64-float64-Int8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[float64-float64-Int16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[float64-float64-UInt8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[float64-float64-UInt16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[numeric-float64-Int8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[numeric-float64-Int16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[numeric-float64-UInt8] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_na_support[numeric-float64-UInt16] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_dtype_object_conversion PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_pandas_dtype_casting PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_on_mock_dataframe PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_dtype_stability PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_dtype_warning PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_sparse_type_exception PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_sparse_no_exception PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_no_exception[csr] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_no_exception[csc] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_no_exception[coo] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_no_exception[bsr] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_raise_exception[csr] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_raise_exception[csc] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_raise_exception[coo] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_accept_large_sparse_raise_exception[bsr] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_min_samples_and_features_messages PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_complex_data_error PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_has_fit_parameter PASSED    [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_symmetric PASSED      [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_is_fitted PASSED      [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_is_fitted_attributes PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[single] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[tuple] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_consistent_length PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_dataframe_fit_attribute PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_suppress_validation PASSED  [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_series PASSED   [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_dataframe_mixed_float_dtypes PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_memory PASSED         [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_memmap[True] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_array_memmap[False] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[asarray] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[csr_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[csc_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[coo_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[lil_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[bsr_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[dok_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_non_negative[dia_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_X_y_informative_error PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_retrieve_samples_from_non_standard_shape PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_scalar_valid[3-int-2-5] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_scalar_valid[2.5-float-2-5] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_scalar_invalid[1-test_name1-float-2-4-err_msg0] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_scalar_invalid[1-test_name2-int-2-4-err_msg1] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_scalar_invalid[5-test_name3-int-2-4-err_msg2] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-nominal] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-nominal_np_array] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-insignificant_imag] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-insignificant neg] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-insignificant neg float32] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-insignificant neg float64] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[True-insignificant pos] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-nominal] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-nominal_np_array] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-insignificant_imag] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-insignificant neg] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-insignificant neg float32] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-insignificant neg float64] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_valid[False-insignificant pos] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_invalid[significant_imag] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_invalid[all negative] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_invalid[significant neg] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_invalid[significant neg float32] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_psd_eigenvalues_invalid[significant neg float64] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sample_weight PASSED  [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_equals[array] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_equals[csr_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_equals[csc_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_not_equals[array] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_not_equals[csr_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_not_equals[csc_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_raise[csr_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_allclose_dense_sparse_raise[csc_matrix] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_deprecate_positional_args_warns_for_function PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_deprecate_positional_args_warns_for_class PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_fit_params[None] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_fit_params[indices1] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sparse_pandas_sp_format[True] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sparse_pandas_sp_format[csr] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sparse_pandas_sp_format[csc] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sparse_pandas_sp_format[coo] PASSED [ 99%]
> sklearn/utils/tests/test_validation.py::test_check_sparse_pandas_sp_format[bsr] PASSED [100%]
> 
> =================================== FAILURES ===================================
> _____ test_affinity_propagation_convergence_warning_dense_sparse[centers0] _____
> 
> centers = <1x10 sparse matrix of type '<class 'numpy.float64'>'
> 	with 0 stored elements in Compressed Sparse Row format>
> 
>     @pytest.mark.parametrize('centers', [csr_matrix(np.zeros((1, 10))),
>                                          np.zeros((1, 10))])
>     def test_affinity_propagation_convergence_warning_dense_sparse(centers):
>         """Non-regression, see #13334"""
>         rng = np.random.RandomState(42)
>         X = rng.rand(40, 10)
>         y = (4 * rng.rand(40)).astype(np.int)
>         ap = AffinityPropagation(random_state=46)
>         ap.fit(X, y)
>         ap.cluster_centers_ = centers
>         with pytest.warns(None) as record:
>             assert_array_equal(ap.predict(X),
>                                np.zeros(X.shape[0], dtype=int))
> >       assert len(record) == 0
> E       assert 3 == 0
> E         +3
> E         -0
> 
> sklearn/cluster/tests/test_affinity_propagation.py:233: AssertionError
> _____ test_affinity_propagation_convergence_warning_dense_sparse[centers1] _____
> 
> centers = array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
> 
>     @pytest.mark.parametrize('centers', [csr_matrix(np.zeros((1, 10))),
>                                          np.zeros((1, 10))])
>     def test_affinity_propagation_convergence_warning_dense_sparse(centers):
>         """Non-regression, see #13334"""
>         rng = np.random.RandomState(42)
>         X = rng.rand(40, 10)
>         y = (4 * rng.rand(40)).astype(np.int)
>         ap = AffinityPropagation(random_state=46)
>         ap.fit(X, y)
>         ap.cluster_centers_ = centers
>         with pytest.warns(None) as record:
>             assert_array_equal(ap.predict(X),
>                                np.zeros(X.shape[0], dtype=int))
> >       assert len(record) == 0
> E       assert 3 == 0
> E         +3
> E         -0
> 
> sklearn/cluster/tests/test_affinity_propagation.py:233: AssertionError
> ___________ test_k_means_fit_predict[0-2-1e-07-asarray-float32-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 0, max_iter = 2, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[0-2-1e-07-asarray-float32-elkan] ___________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 0, max_iter = 2, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ___________ test_k_means_fit_predict[0-2-1e-07-asarray-float64-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 0, max_iter = 2, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[0-2-1e-07-asarray-float64-elkan] ___________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 0, max_iter = 2, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[0-2-1e-07-csr_matrix-float32-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 0, max_iter = 2
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[0-2-1e-07-csr_matrix-float32-elkan] _________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 0, max_iter = 2
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[0-2-1e-07-csr_matrix-float64-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 0, max_iter = 2
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[0-2-1e-07-csr_matrix-float64-elkan] _________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 0, max_iter = 2
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ____________ test_k_means_fit_predict[1-2-0.1-asarray-float32-full] ____________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 1, max_iter = 2, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ___________ test_k_means_fit_predict[1-2-0.1-asarray-float32-elkan] ____________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 1, max_iter = 2, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ____________ test_k_means_fit_predict[1-2-0.1-asarray-float64-full] ____________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 1, max_iter = 2, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ___________ test_k_means_fit_predict[1-2-0.1-asarray-float64-elkan] ____________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 1, max_iter = 2, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[1-2-0.1-csr_matrix-float32-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 1, max_iter = 2
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[1-2-0.1-csr_matrix-float32-elkan] __________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 1, max_iter = 2
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[1-2-0.1-csr_matrix-float64-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 1, max_iter = 2
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[1-2-0.1-csr_matrix-float64-elkan] __________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 1, max_iter = 2
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[3-300-1e-07-asarray-float32-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 3, max_iter = 300, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[3-300-1e-07-asarray-float32-elkan] __________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 3, max_iter = 300, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[3-300-1e-07-asarray-float64-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 3, max_iter = 300, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[3-300-1e-07-asarray-float64-elkan] __________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 3, max_iter = 300, tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ________ test_k_means_fit_predict[3-300-1e-07-csr_matrix-float32-full] _________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 3, max_iter = 300
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ________ test_k_means_fit_predict[3-300-1e-07-csr_matrix-float32-elkan] ________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 3, max_iter = 300
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ________ test_k_means_fit_predict[3-300-1e-07-csr_matrix-float64-full] _________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 3, max_iter = 300
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ________ test_k_means_fit_predict[3-300-1e-07-csr_matrix-float64-elkan] ________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 3, max_iter = 300
> tol = 1e-07
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ___________ test_k_means_fit_predict[4-300-0.1-asarray-float32-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 4, max_iter = 300, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[4-300-0.1-asarray-float32-elkan] ___________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <built-in function asarray>, seed = 4, max_iter = 300, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> ___________ test_k_means_fit_predict[4-300-0.1-asarray-float64-full] ___________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 4, max_iter = 300, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> __________ test_k_means_fit_predict[4-300-0.1-asarray-float64-elkan] ___________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <built-in function asarray>, seed = 4, max_iter = 300, tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[4-300-0.1-csr_matrix-float32-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 4, max_iter = 300
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[4-300-0.1-csr_matrix-float32-elkan] _________
> 
> algo = 'elkan', dtype = <class 'numpy.float32'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 4, max_iter = 300
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[4-300-0.1-csr_matrix-float64-full] __________
> 
> algo = 'full', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 4, max_iter = 300
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _________ test_k_means_fit_predict[4-300-0.1-csr_matrix-float64-elkan] _________
> 
> algo = 'elkan', dtype = <class 'numpy.float64'>
> constructor = <class 'scipy.sparse.csr.csr_matrix'>, seed = 4, max_iter = 300
> tol = 0.1
> 
>     @pytest.mark.parametrize('algo', ['full', 'elkan'])
>     @pytest.mark.parametrize('dtype', [np.float32, np.float64])
>     @pytest.mark.parametrize('constructor', [np.asarray, sp.csr_matrix])
>     @pytest.mark.parametrize('seed, max_iter, tol', [
>         (0, 2, 1e-7),    # strict non-convergence
>         (1, 2, 1e-1),    # loose non-convergence
>         (3, 300, 1e-7),  # strict convergence
>         (4, 300, 1e-1),  # loose convergence
>     ])
>     def test_k_means_fit_predict(algo, dtype, constructor, seed, max_iter, tol):
>         # check that fit.predict gives same result as fit_predict
>         # There's a very small chance of failure with elkan on unstructured dataset
>         # because predict method uses fast euclidean distances computation which
>         # may cause small numerical instabilities.
>         # NB: This test is largely redundant with respect to test_predict and
>         #     test_predict_equal_labels.  This test has the added effect of
>         #     testing idempotence of the fittng procesdure which appears to
>         #     be where it fails on some MacOS setups.
>         if sys.platform == "darwin":
>             pytest.xfail(
>                 "Known failures on MacOS, See "
>                 "https://github.com/scikit-learn/scikit-learn/issues/12644")
>     
>         rng = np.random.RandomState(seed)
>     
>         X = make_blobs(n_samples=1000, n_features=10, centers=10,
>                        random_state=rng)[0].astype(dtype, copy=False)
>         X = constructor(X)
>     
>         kmeans = KMeans(algorithm=algo, n_clusters=10, random_state=seed,
>                         tol=tol, max_iter=max_iter)
>     
>         labels_1 = kmeans.fit(X).predict(X)
>         labels_2 = kmeans.fit_predict(X)
>     
>         # Due to randomness in the order in which chunks of data are processed when
>         # using more than one thread, the absolute values of the labels can be
>         # different between the 2 strategies but they should correspond to the same
>         # clustering.
> >       assert v_measure_score(labels_1, labels_2) == 1
> E       assert 1.0000000000000007 == 1
> E         +1.0000000000000007
> E         -1
> 
> sklearn/cluster/tests/test_k_means.py:414: AssertionError
> _____________ test_none_estimator_with_weights[drop-X0-y0-voter0] ______________
> 
> X = array([[3.5, 1.4],
>        [3. , 1.4],
>        [3.2, 1.3],
>        [3.1, 1.5],
>        [3.6, 1.4],
>        [3.9, 1.7],
>     ....9],
>        [3.3, 5.7],
>        [3. , 5.2],
>        [2.5, 5. ],
>        [3. , 5.2],
>        [3.4, 5.4],
>        [3. , 5.1]])
> y = array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
>        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])
> voter = VotingClassifier(estimators=[('lr', 'drop'),
>                              ('rf', RandomForestClassifier(n_estimators=5))])
> drop = 'drop'
> 
>     @pytest.mark.parametrize(
>         "X, y, voter",
>         [(X, y, VotingClassifier(
>             [('lr', LogisticRegression()),
>              ('rf', RandomForestClassifier(n_estimators=5))])),
>          (X_r, y_r, VotingRegressor(
>              [('lr', LinearRegression()),
>               ('rf', RandomForestRegressor(n_estimators=5))]))]
>     )
>     @pytest.mark.parametrize("drop", [None, 'drop'])
>     def test_none_estimator_with_weights(X, y, voter, drop):
>         # TODO: remove the parametrization on 'drop' when support for None is
>         # removed.
>         # check that an estimator can be set to 'drop' and passing some weight
>         # regression test for
>         # https://github.com/scikit-learn/scikit-learn/issues/13777
>         voter = clone(voter)
>         voter.fit(X, y, sample_weight=np.ones(y.shape))
>         voter.set_params(lr=drop)
>         with pytest.warns(None) as record:
>             voter.fit(X, y, sample_weight=np.ones(y.shape))
> >       assert record if drop is None else not record
> E       assert False
> 
> sklearn/ensemble/tests/test_voting.py:500: AssertionError
> ________________________ test_lml_precomputed[kernel3] _________________________
> 
> kernel = 1**2 * RBF(length_scale=1)
> 
>     @pytest.mark.parametrize('kernel', kernels)
>     def test_lml_precomputed(kernel):
>         # Test that lml of optimized kernel is stored correctly.
>         gpr = GaussianProcessRegressor(kernel=kernel).fit(X, y)
> >       assert (gpr.log_marginal_likelihood(gpr.kernel_.theta) ==
>                 gpr.log_marginal_likelihood())
> E       assert -14.523272133473961 == -14.523272133473949
> E         +-14.523272133473961
> E         --14.523272133473949
> 
> sklearn/gaussian_process/tests/test_gpr.py:92: AssertionError
> ____________________________ test_lars_cv_max_iter _____________________________
> 
> recwarn = WarningsRecorder(record=True)
> 
>     def test_lars_cv_max_iter(recwarn):
>         warnings.simplefilter('always')
>         with np.errstate(divide='raise', invalid='raise'):
>             X = diabetes.data
>             y = diabetes.target
>             rng = np.random.RandomState(42)
>             x = rng.randn(len(y))
>             X = diabetes.data
>             X = np.c_[X, x, x]  # add correlated features
>             lars_cv = linear_model.LassoLarsCV(max_iter=5, cv=5)
>             lars_cv.fit(X, y)
>         # Check that there is no warning in general and no ConvergenceWarning
>         # in particular.
>         # Materialize the string representation of the warning to get a more
>         # informative error message in case of AssertionError.
>         recorded_warnings = [str(w) for w in recwarn]
> >       assert recorded_warnings == []
> E       assert ['{message : ...line : None}'] == []
> E         Left contains 6 more items, first extra item: "{message : DeprecationWarning('`np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `in...-FEGniT/scikit-learn-0.23.2/.pybuild/cpython3_3.9/build/sklearn/model_selection/_split.py', lineno : 443, line : None}"
> E         Full diff:
> E           [
> E         -  ,
> E         +  "{message : DeprecationWarning('`np.int` is a deprecated alias for the "
> E         +  'builtin `int`. To silence this warning, use `int` by itself. Doing this will '
> E         +  'not modify any behavior and is safe. When replacing `np.int`, you may wish '...
> E         
> E         ...Full output truncated (54 lines hidden), use '-vv' to show
> 
> sklearn/linear_model/tests/test_least_angle.py:466: AssertionError
> _______________ test_logistic_cv_score_does_not_warn_by_default ________________
> 
>     def test_logistic_cv_score_does_not_warn_by_default():
>         lr = LogisticRegressionCV(cv=2)
>         lr.fit(X, Y1)
>     
>         with pytest.warns(None) as record:
>             lr.score(X, lr.predict(X))
> >       assert len(record) == 0
> E       assert 2 == 0
> E         +2
> E         -0
> 
> sklearn/linear_model/tests/test_logistic.py:143: AssertionError
> _________________________ test_exactly_zero_info_score _________________________
> 
>     @ignore_warnings(category=FutureWarning)
>     def test_exactly_zero_info_score():
>         # Check numerical stability when information is exactly zero
>         for i in np.logspace(1, 4, 4).astype(np.int):
>             labels_a, labels_b = (np.ones(i, dtype=np.int),
>                                   np.arange(i, dtype=np.int))
>             assert normalized_mutual_info_score(
>                 labels_a, labels_b) == pytest.approx(0.0)
>             assert v_measure_score(
>                 labels_a, labels_b) == pytest.approx(0.0)
>             assert adjusted_mutual_info_score(
>                 labels_a, labels_b) == pytest.approx(0.0)
>             assert normalized_mutual_info_score(
>                 labels_a, labels_b) == pytest.approx(0.0)
>             for method in ["min", "geometric", "arithmetic", "max"]:
> >               assert adjusted_mutual_info_score(
>                     labels_a, labels_b,  method) == pytest.approx(0.0)
> E               assert 1.220703125 == 0.0 ± 1.0e-12
> E                 +1.220703125
> E                 -0.0 ± 1.0e-12
> 
> sklearn/metrics/cluster/tests/test_supervised.py:288: AssertionError
> ______________ test_not_symmetric_metric[precision_recall_curve] _______________
> 
> name = 'precision_recall_curve'
> 
>     @pytest.mark.parametrize("name", sorted(NOT_SYMMETRIC_METRICS))
>     def test_not_symmetric_metric(name):
>         # Test the symmetry of score and loss functions
>         random_state = check_random_state(0)
>         y_true = random_state.randint(0, 2, size=(20, ))
>         y_pred = random_state.randint(0, 2, size=(20, ))
>     
>         if name in METRICS_REQUIRE_POSITIVE_Y:
>             y_true, y_pred = _require_positive_targets(y_true, y_pred)
>     
>         metric = ALL_METRICS[name]
>     
>         # use context manager to supply custom error message
>         with pytest.raises(AssertionError):
> >           assert_array_equal(metric(y_true, y_pred), metric(y_pred, y_true))
> 
> sklearn/metrics/tests/test_common.py:556: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> sklearn/metrics/tests/test_common.py:196: in precision_recall_curve_padded_thresholds
>     np.pad(thresholds,
> <__array_function__ internals>:5: in pad
>     ???
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:803: in pad
>     _set_pad_area(roi, axis, width_pair, value_pair)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> 
> padded = array([0, 1, 0]), axis = 0, width_pair = (0, 1)
> value_pair = (nan, nan)
> 
>     def _set_pad_area(padded, axis, width_pair, value_pair):
>         """
>         Set empty-padded area in given dimension.
>     
>         Parameters
>         ----------
>         padded : ndarray
>             Array with the pad area which is modified inplace.
>         axis : int
>             Dimension with the pad area to set.
>         width_pair : (int, int)
>             Pair of widths that mark the pad area on both sides in the given
>             dimension.
>         value_pair : tuple of scalars or ndarrays
>             Values inserted into the pad area on each side. It must match or be
>             broadcastable to the shape of `arr`.
>         """
>         left_slice = _slice_at_axis(slice(None, width_pair[0]), axis)
> >       padded[left_slice] = value_pair[0]
> E       ValueError: cannot convert float NaN to integer
> 
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:147: ValueError
> _________ test_binary_sample_weight_invariance[precision_recall_curve] _________
> 
> name = 'precision_recall_curve'
> 
>     @pytest.mark.parametrize(
>         'name',
>         sorted(
>             set(ALL_METRICS) - set(REGRESSION_METRICS) -
>             METRICS_WITHOUT_SAMPLE_WEIGHT - METRIC_UNDEFINED_BINARY))
>     def test_binary_sample_weight_invariance(name):
>         # binary
>         n_samples = 50
>         random_state = check_random_state(0)
>         y_true = random_state.randint(0, 2, size=(n_samples, ))
>         y_pred = random_state.randint(0, 2, size=(n_samples, ))
>         y_score = random_state.random_sample(size=(n_samples,))
>         metric = ALL_METRICS[name]
>         if name in THRESHOLDED_METRICS:
>             check_sample_weight_invariance(name, metric, y_true, y_score)
>         else:
> >           check_sample_weight_invariance(name, metric, y_true, y_pred)
> 
> sklearn/metrics/tests/test_common.py:1259: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> sklearn/utils/_testing.py:317: in wrapper
>     return fn(*args, **kwargs)
> sklearn/metrics/tests/test_common.py:1155: in check_sample_weight_invariance
>     unweighted_score = metric(y1, y2, sample_weight=None)
> sklearn/metrics/tests/test_common.py:196: in precision_recall_curve_padded_thresholds
>     np.pad(thresholds,
> <__array_function__ internals>:5: in pad
>     ???
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:803: in pad
>     _set_pad_area(roi, axis, width_pair, value_pair)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> 
> padded = array([0, 1, 0]), axis = 0, width_pair = (0, 1)
> value_pair = (nan, nan)
> 
>     def _set_pad_area(padded, axis, width_pair, value_pair):
>         """
>         Set empty-padded area in given dimension.
>     
>         Parameters
>         ----------
>         padded : ndarray
>             Array with the pad area which is modified inplace.
>         axis : int
>             Dimension with the pad area to set.
>         width_pair : (int, int)
>             Pair of widths that mark the pad area on both sides in the given
>             dimension.
>         value_pair : tuple of scalars or ndarrays
>             Values inserted into the pad area on each side. It must match or be
>             broadcastable to the shape of `arr`.
>         """
>         left_slice = _slice_at_axis(slice(None, width_pair[0]), axis)
> >       padded[left_slice] = value_pair[0]
> E       ValueError: cannot convert float NaN to integer
> 
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:147: ValueError
> _____________________ test_pairwise_boolean_distance[dice] _____________________
> 
> metric = 'dice'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> ___________________ test_pairwise_boolean_distance[jaccard] ____________________
> 
> metric = 'jaccard'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> __________________ test_pairwise_boolean_distance[kulsinski] ___________________
> 
> metric = 'kulsinski'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> ___________________ test_pairwise_boolean_distance[matching] ___________________
> 
> metric = 'matching'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> ________________ test_pairwise_boolean_distance[rogerstanimoto] ________________
> 
> metric = 'rogerstanimoto'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> __________________ test_pairwise_boolean_distance[russellrao] __________________
> 
> metric = 'russellrao'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> ________________ test_pairwise_boolean_distance[sokalmichener] _________________
> 
> metric = 'sokalmichener'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> _________________ test_pairwise_boolean_distance[sokalsneath] __________________
> 
> metric = 'sokalsneath'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> _____________________ test_pairwise_boolean_distance[yule] _____________________
> 
> metric = 'yule'
> 
>     @pytest.mark.parametrize('metric', PAIRWISE_BOOLEAN_FUNCTIONS)
>     def test_pairwise_boolean_distance(metric):
>         # test that we convert to boolean arrays for boolean distances
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         Y = X.copy()
>         Y[0, 0] = 1 - Y[0, 0]
>     
>         # ignore conversion to boolean in pairwise_distances
>         with ignore_warnings(category=DataConversionWarning):
>             for Z in [Y, None]:
>                 res = pairwise_distances(X, Z, metric=metric)
>                 res[np.isnan(res)] = 0
>                 assert np.sum(res != 0) == 0
>     
>         # non-boolean arrays are converted to boolean for boolean
>         # distance metrics with a data conversion warning
>         msg = "Data was converted to boolean for metric %s" % metric
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X, metric=metric)
>     
>         # Check that the warning is raised if X is boolean by Y is not boolean:
>         with pytest.warns(DataConversionWarning, match=msg):
>             pairwise_distances(X.astype(bool), Y=Y, metric=metric)
>     
>         # Check that no warning is raised if X is already boolean and Y is None:
>         with pytest.warns(None) as records:
>             pairwise_distances(X.astype(bool), metric=metric)
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:188: AssertionError
> _______________________ test_no_data_conversion_warning ________________________
> 
>     def test_no_data_conversion_warning():
>         # No warnings issued if metric is not a boolean distance function
>         rng = np.random.RandomState(0)
>         X = rng.randn(5, 4)
>         with pytest.warns(None) as records:
>             pairwise_distances(X, metric="minkowski")
> >       assert len(records) == 0
> E       assert 1 == 0
> E         +1
> E         -0
> 
> sklearn/metrics/tests/test_pairwise.py:197: AssertionError
> _____________________________ test_learning_curve ______________________________
> 
>     def test_learning_curve():
>         n_samples = 30
>         n_splits = 3
>         X, y = make_classification(n_samples=n_samples, n_features=1,
>                                    n_informative=1, n_redundant=0, n_classes=2,
>                                    n_clusters_per_class=1, random_state=0)
>         estimator = MockImprovingEstimator(n_samples * ((n_splits - 1) / n_splits))
>         for shuffle_train in [False, True]:
>             with warnings.catch_warnings(record=True) as w:
>                 train_sizes, train_scores, test_scores, fit_times, score_times = \
>                     learning_curve(estimator, X, y, cv=KFold(n_splits=n_splits),
>                                    train_sizes=np.linspace(0.1, 1.0, 10),
>                                    shuffle=shuffle_train, return_times=True)
>             if len(w) > 0:
> >               raise RuntimeError("Unexpected warning: %r" % w[0].message)
> E               RuntimeError: Unexpected warning: DeprecationWarning('`np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\nDeprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations')
> 
> sklearn/model_selection/tests/test_validation.py:1014: RuntimeError
> ____________________________ test_validation_curve _____________________________
> 
>     def test_validation_curve():
>         X, y = make_classification(n_samples=2, n_features=1, n_informative=1,
>                                    n_redundant=0, n_classes=2,
>                                    n_clusters_per_class=1, random_state=0)
>         param_range = np.linspace(0, 1, 10)
>         with warnings.catch_warnings(record=True) as w:
>             train_scores, test_scores = validation_curve(
>                 MockEstimatorWithParameter(), X, y, param_name="param",
>                 param_range=param_range, cv=2
>             )
>         if len(w) > 0:
> >           raise RuntimeError("Unexpected warning: %r" % w[0].message)
> E           RuntimeError: Unexpected warning: DeprecationWarning('`np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\nDeprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations')
> 
> sklearn/model_selection/tests/test_validation.py:1230: RuntimeError
> _________________________ test_one_hot_encoder_warning _________________________
> 
>     def test_one_hot_encoder_warning():
>         enc = OneHotEncoder()
>         X = [['Male', 1], ['Female', 3]]
> >       np.testing.assert_no_warnings(enc.fit_transform, X)
> 
> sklearn/preprocessing/tests/test_encoders.py:615: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> /usr/lib/python3/dist-packages/numpy/testing/_private/utils.py:1850: in assert_no_warnings
>     return func(*args, **kwargs)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> 
> self = <contextlib._GeneratorContextManager object at 0x7f7efb0ee490>
> typ = None, value = None, traceback = None
> 
>     def __exit__(self, typ, value, traceback):
>         if typ is None:
>             try:
> >               next(self.gen)
> E               AssertionError: Got warnings when calling fit_transform: [<warnings.WarningMessage object at 0x7f7efb0ee520>, <warnings.WarningMessage object at 0x7f7efb0ee550>, <warnings.WarningMessage object at 0x7f7efb0ee580>, <warnings.WarningMessage object at 0x7f7efb0ee5b0>, <warnings.WarningMessage object at 0x7f7efb0ee5e0>]
> 
> /usr/lib/python3.9/contextlib.py:126: AssertionError
> ___________________________ test_convergence_warning ___________________________
> 
>     def test_convergence_warning():
>         # This is a non-regression test for #5774
>         X = np.array([[1., 0.], [0., 1.], [1., 2.5]])
>         y = np.array([0, 1, -1])
>         mdl = label_propagation.LabelSpreading(kernel='rbf', max_iter=1)
>         assert_warns(ConvergenceWarning, mdl.fit, X, y)
>         assert mdl.n_iter_ == mdl.max_iter
>     
>         mdl = label_propagation.LabelPropagation(kernel='rbf', max_iter=1)
>         assert_warns(ConvergenceWarning, mdl.fit, X, y)
>         assert mdl.n_iter_ == mdl.max_iter
>     
>         mdl = label_propagation.LabelSpreading(kernel='rbf', max_iter=500)
> >       assert_no_warnings(mdl.fit, X, y)
> 
> sklearn/semi_supervised/tests/test_label_propagation.py:154: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> 
> func = <bound method BaseLabelPropagation.fit of LabelSpreading(max_iter=500)>
> args = (array([[1. , 0. ],
>        [0. , 1. ],
>        [1. , 2.5]]), array([ 0,  1, -1]))
> kw = {}
> w = [<warnings.WarningMessage object at 0x7f7efaf6b580>, <warnings.WarningMessage object at 0x7f7efaf6b4f0>]
> result = LabelSpreading(max_iter=500)
> 
>     def assert_no_warnings(func, *args, **kw):
>         """
>         Parameters
>         ----------
>         func
>         *args
>         **kw
>         """
>         # very important to avoid uncontrolled state propagation
>         with warnings.catch_warnings(record=True) as w:
>             warnings.simplefilter('always')
>     
>             result = func(*args, **kw)
>             if hasattr(np, 'FutureWarning'):
>                 # Filter out numpy-specific warnings in numpy >= 1.9
>                 w = [e for e in w
>                      if e.category is not np.VisibleDeprecationWarning]
>     
>             if len(w) > 0:
> >               raise AssertionError("Got warnings when calling %s: [%s]"
>                                      % (func.__name__,
>                                         ', '.join(str(warning) for warning in w)))
> E               AssertionError: Got warnings when calling fit: [{message : DeprecationWarning('`np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\nDeprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations'), category : 'DeprecationWarning', filename : '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/metrics/pairwise.py', lineno : 58, line : None}, {message : DeprecationWarning('`np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\nDeprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations'), category : 'DeprecationWarning', filename : '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/sklearn/metrics/pairwise.py', lineno : 58, line : None}]
> 
> sklearn/utils/_testing.py:243: AssertionError
> =========================== short test summary info ============================
> XFAIL sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer]
>   reason: HashingVectorizer is not supported on PyPy
> XFAIL sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[file-AttributeError-'str' object has no attribute 'read'-HashingVectorizer]
>   reason: HashingVectorizer is not supported on PyPy
> XFAIL sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_reraise_error[HashingVectorizer]
>   reason: HashingVectorizer is not supported on PyPy
> XFAIL sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float64-1e-08-0.99]
>   failing due to lack of precision
> XFAIL sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float64-1e-08-0.99]
>   failing due to lack of precision
> XFAIL sklearn/tests/test_common.py::test_estimators[BernoulliRBM()-check_methods_subset_invariance]
>   fails for the decision_function method
> XFAIL sklearn/tests/test_common.py::test_estimators[DummyClassifier()-check_methods_subset_invariance]
>   fails for the predict method
> XFAIL sklearn/tests/test_common.py::test_estimators[NuSVC()-check_class_weight_classifiers]
>   class_weight is ignored.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianRidge-BayesianRidge]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Birch-Birch]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CCA-CCA]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CategoricalNB-CategoricalNB]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNet-ElasticNet]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNetCV-ElasticNetCV]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessClassifier-GaussianProcessClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingRegressor-GradientBoostingRegressor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingClassifier-HistGradientBoostingClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingRegressor-HistGradientBoostingRegressor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsolationForest-IsolationForest]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsClassifier-KNeighborsClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsRegressor-KNeighborsRegressor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsTransformer-KNeighborsTransformer]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelCenterer-KernelCenterer]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelDensity-KernelDensity]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LarsCV-LarsCV]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lasso-Lasso]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsCV-LassoLarsCV]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsIC-LassoLarsIC]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LatentDirichletAllocation-LatentDirichletAllocation]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocalOutlierFactor-LocalOutlierFactor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MDS-MDS]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPClassifier-MLPClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPRegressor-MLPRegressor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchKMeans-MiniBatchKMeans]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNet-MultiTaskElasticNet]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNetCV-MultiTaskElasticNetCV]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLasso-MultiTaskLasso]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLassoCV-MultiTaskLassoCV]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestNeighbors-NearestNeighbors]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVR-NuSVR]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneClassSVM-OneClassSVM]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSCanonical-PLSCanonical]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSRegression-PLSRegression]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSSVD-PLSSVD]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveClassifier-PassiveAggressiveClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Perceptron-Perceptron]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RBFSampler-RBFSampler]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsClassifier-RadiusNeighborsClassifier]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsRegressor-RadiusNeighborsRegressor]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsTransformer-RadiusNeighborsTransformer]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomTreesEmbedding-RandomTreesEmbedding]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SVR-SVR]
>   reason: Classifier has too many undocumented attributes.
> XFAIL sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SkewedChi2Sampler-SkewedChi2Sampler]
>   reason: Classifier has too many undocumented attributes.
> XPASS sklearn/tests/test_common.py::test_estimators[MiniBatchSparsePCA()-check_methods_subset_invariance] fails for the transform method
> XPASS sklearn/tests/test_common.py::test_estimators[NuSVC()-check_methods_subset_invariance] fails for the decision_function method
> XPASS sklearn/tests/test_common.py::test_estimators[SparsePCA()-check_methods_subset_invariance] fails for the transform method
> SKIPPED [2] sklearn/cluster/tests/test_k_means.py:166: GH 17428
> SKIPPED [2] sklearn/datasets/tests/conftest.py:24: Download 20newsgroups to run this test
> SKIPPED [2] sklearn/datasets/tests/conftest.py:24: Download 20newsgroups_vectorized to run this test
> SKIPPED [6] sklearn/datasets/tests/test_common.py:10: This test requires pandas to be not installed
> SKIPPED [3] sklearn/datasets/tests/conftest.py:24: Download california_housing to run this test
> SKIPPED [1] sklearn/datasets/tests/conftest.py:24: Download covtype to run this test
> SKIPPED [2] sklearn/datasets/tests/conftest.py:24: Download kddcup99 to run this test
> SKIPPED [1] sklearn/datasets/tests/conftest.py:24: Download olivetti_faces to run this test
> SKIPPED [1] sklearn/datasets/tests/conftest.py:24: Download rcv1 to run this test
> SKIPPED [1] sklearn/datasets/tests/test_svmlight_format.py:188: testing the overflow of 32 bit sparse indexing requires a large amount of memory
> SKIPPED [1] sklearn/decomposition/tests/test_sparse_pca.py:133: skipping mini_batch_fit_transform.
> SKIPPED [20] sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py:46: could not import 'lightgbm': No module named 'lightgbm'
> SKIPPED [20] sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py:99: could not import 'lightgbm': No module named 'lightgbm'
> SKIPPED [20] sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py:160: could not import 'lightgbm': No module named 'lightgbm'
> SKIPPED [2] sklearn/linear_model/tests/test_logistic.py:1320: liblinear does not support multinomial logistic
> SKIPPED [1] sklearn/manifold/tests/test_spectral_embedding.py:186: could not import 'pyamg': No module named 'pyamg'
> SKIPPED [1] sklearn/manifold/tests/test_spectral_embedding.py:221: could not import 'pyamg': No module named 'pyamg'
> SKIPPED [4] sklearn/preprocessing/tests/test_data.py:864: 'with_mean=True' cannot be used with sparse matrix.
> SKIPPED [2] sklearn/preprocessing/tests/test_data.py:1075: RobustScaler cannot center sparse matrix
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator ColumnTransformer which requires parameters ['transformers']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator FeatureUnion which requires parameters ['transformer_list']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator GridSearchCV which requires parameters ['estimator', 'param_grid']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator Pipeline which requires parameters ['steps']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator RandomizedSearchCV which requires parameters ['estimator', 'param_distributions']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator SparseCoder which requires parameters ['dictionary']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator StackingClassifier which requires parameters ['estimators']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator StackingRegressor which requires parameters ['estimators']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator VotingClassifier which requires parameters ['estimators']
> SKIPPED [1] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Can't instantiate estimator VotingRegressor which requires parameters ['estimators']
> SKIPPED [3] ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355: Skipping check_estimators_data_not_an_array for cross decomposition module as estimators are not deterministic.
> SKIPPED [1] sklearn/tests/test_common.py:157: setup.py not available
> SKIPPED [35] sklearn/tests/test_docstring_parameters.py:191: Estimator cannot be fit easily to test fit attributes
> SKIPPED [1] sklearn/tests/test_import_deprecations.py:31: No warning can be raised for sklearn.decomposition.dict_learning
> SKIPPED [1] sklearn/tests/test_import_deprecations.py:31: No warning can be raised for sklearn.inspection.partial_dependence
> = 55 failed, 15476 passed, 143 skipped, 201 deselected, 54 xfailed, 3 xpassed, 217492 warnings in 477.03s (0:07:57) =
> E: pybuild pybuild:354: test: plugin distutils failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build; python3.9 -m pytest -m "not network" -v -k "not test_old_pickle and not test_ard_accuracy_on_easy_problem"
> dh_auto_test: error: pybuild --test -i python{version} -p 3.9 returned exit code 13


The full build log is available from:
http://qa-logs.debian.net/2021/11/numpy-matplotlib/numpy-exp/scikit-learn_0.23.2-5_unstable_numpy-exp.log

If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects

If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.



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