--- Begin Message ---
Source: imbalanced-learn
Version: 0.7.0-6
Severity: important
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lu...@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
<mo...@debian.org>.
Relevant part (hopefully):
> debian/rules binary
> dh binary --with python3 --buildsystem=pybuild
> dh_update_autotools_config -O--buildsystem=pybuild
> dh_autoreconf -O--buildsystem=pybuild
> dh_auto_configure -O--buildsystem=pybuild
> I: pybuild base:232: python3.9 setup.py config
> running config
> dh_auto_build -O--buildsystem=pybuild
> I: pybuild base:232: /usr/bin/python3 setup.py build
> running build
> running build_py
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> copying imblearn/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> copying imblearn/pipeline.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> copying imblearn/_version.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> copying imblearn/exceptions.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> copying imblearn/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets
> copying imblearn/datasets/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets
> copying imblearn/datasets/_zenodo.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets
> copying imblearn/datasets/_imbalance.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/deprecation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/_docstring.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/_show_versions.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/_validation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/testing.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> copying imblearn/utils/estimator_checks.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling
> copying imblearn/under_sampling/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling
> copying imblearn/under_sampling/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> copying imblearn/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> copying imblearn/tests/test_base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> copying imblearn/tests/test_pipeline.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> copying imblearn/tests/test_exceptions.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> copying imblearn/tests/test_common.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> copying imblearn/over_sampling/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> copying imblearn/over_sampling/_random_over_sampler.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> copying imblearn/over_sampling/_smote.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> copying imblearn/over_sampling/_adasyn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> copying imblearn/over_sampling/base.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tensorflow
> copying imblearn/tensorflow/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tensorflow
> copying imblearn/tensorflow/_generator.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tensorflow
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/metrics
> copying imblearn/metrics/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/metrics
> copying imblearn/metrics/_classification.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/metrics
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras
> copying imblearn/keras/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras
> copying imblearn/keras/_generator.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> copying imblearn/ensemble/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> copying imblearn/ensemble/_weight_boosting.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> copying imblearn/ensemble/_bagging.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> copying imblearn/ensemble/_easy_ensemble.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> copying imblearn/ensemble/_forest.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine
> copying imblearn/combine/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine
> copying imblearn/combine/_smote_enn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine
> copying imblearn/combine/_smote_tomek.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests
> copying imblearn/datasets/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests
> copying imblearn/datasets/tests/test_zenodo.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests
> copying imblearn/datasets/tests/test_imbalance.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_validation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_docstring.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_testing.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_deprecation.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_show_versions.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> copying imblearn/utils/tests/test_estimator_checks.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying
> imblearn/under_sampling/_prototype_selection/_neighbourhood_cleaning_rule.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying
> imblearn/under_sampling/_prototype_selection/_condensed_nearest_neighbour.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying imblearn/under_sampling/_prototype_selection/_one_sided_selection.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying imblearn/under_sampling/_prototype_selection/_tomek_links.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying imblearn/under_sampling/_prototype_selection/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying imblearn/under_sampling/_prototype_selection/_nearmiss.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying
> imblearn/under_sampling/_prototype_selection/_edited_nearest_neighbours.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying
> imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> copying imblearn/under_sampling/_prototype_selection/_random_under_sampler.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation
> copying imblearn/under_sampling/_prototype_generation/_cluster_centroids.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation
> copying imblearn/under_sampling/_prototype_generation/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_edited_nearest_neighbours.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying imblearn/under_sampling/_prototype_selection/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_condensed_nearest_neighbour.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying imblearn/under_sampling/_prototype_selection/tests/test_nearmiss.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_tomek_links.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_repeated_edited_nearest_neighbours.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying imblearn/under_sampling/_prototype_selection/tests/test_allknn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_one_sided_selection.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> copying
> imblearn/under_sampling/_prototype_selection/tests/test_neighbourhood_cleaning_rule.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/tests
> copying imblearn/under_sampling/_prototype_generation/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/tests
> copying
> imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py
> ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_smote.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_adasyn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_svm_smote.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_borderline_smote.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_random_over_sampler.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_smote_nc.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> copying imblearn/over_sampling/tests/test_kmeans_smote.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras/tests
> copying imblearn/keras/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras/tests
> copying imblearn/keras/tests/test_generator.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/keras/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> copying imblearn/ensemble/tests/test_easy_ensemble.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> copying imblearn/ensemble/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> copying imblearn/ensemble/tests/test_forest.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> copying imblearn/ensemble/tests/test_bagging.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> copying imblearn/ensemble/tests/test_weight_boosting.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests
> creating
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests
> copying imblearn/combine/tests/__init__.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests
> copying imblearn/combine/tests/test_smote_tomek.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests
> copying imblearn/combine/tests/test_smote_enn.py ->
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests
> dh_auto_test -O--buildsystem=pybuild
> I: pybuild base:232: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build; python3.9 -m
> pytest -k "not test_rusboost"
> ============================= test session starts
> ==============================
> platform linux -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-0.13.0
> rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg
> plugins: doctestplus-0.11.0
> collected 1476 items / 6 deselected / 2 skipped / 1468 selected
>
> imblearn/base.py . [
> 0%]
> imblearn/pipeline.py .. [
> 0%]
> imblearn/combine/_smote_enn.py . [
> 0%]
> imblearn/combine/_smote_tomek.py . [
> 0%]
> imblearn/combine/tests/test_smote_enn.py ........ [
> 0%]
> imblearn/combine/tests/test_smote_tomek.py ....... [
> 1%]
> imblearn/datasets/_imbalance.py . [
> 1%]
> imblearn/datasets/tests/test_imbalance.py ......ssss [
> 2%]
> imblearn/datasets/tests/test_zenodo.py ss.... [
> 2%]
> imblearn/ensemble/_bagging.py . [
> 2%]
> imblearn/ensemble/_easy_ensemble.py . [
> 2%]
> imblearn/ensemble/_forest.py . [
> 2%]
> imblearn/ensemble/_weight_boosting.py . [
> 2%]
> imblearn/ensemble/tests/test_bagging.py ................... [
> 4%]
> imblearn/ensemble/tests/test_easy_ensemble.py .............. [
> 5%]
> imblearn/ensemble/tests/test_forest.py ............. [
> 5%]
> imblearn/keras/_generator.py ss [
> 6%]
> imblearn/metrics/_classification.py .F.... [
> 6%]
> imblearn/over_sampling/_adasyn.py . [
> 6%]
> imblearn/over_sampling/_random_over_sampler.py . [
> 6%]
> imblearn/over_sampling/_smote.py ..... [
> 6%]
> imblearn/over_sampling/tests/test_adasyn.py ..... [
> 7%]
> imblearn/over_sampling/tests/test_borderline_smote.py ... [
> 7%]
> imblearn/over_sampling/tests/test_kmeans_smote.py .............. [
> 8%]
> imblearn/over_sampling/tests/test_random_over_sampler.py .s..... [
> 8%]
> imblearn/over_sampling/tests/test_smote.py ..... [
> 9%]
> imblearn/over_sampling/tests/test_smote_nc.py ...........s.... [
> 10%]
> imblearn/over_sampling/tests/test_svm_smote.py . [
> 10%]
> imblearn/tests/test_base.py ........... [
> 11%]
> imblearn/tests/test_common.py .......................................... [
> 14%]
> ........................................................x...s........... [
> 18%]
> ................s..............s........................................ [
> 23%]
> ........................................................................ [
> 28%]
> ..................s..................................................... [
> 33%]
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> ........................................................................ [
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> .......s...........s......s.s......s...........s...........s......s..... [
> 72%]
> .s...........s...........s...........s........X..s........X..s........x. [
> 77%]
> .s...........s...........s......s......s...........s...........s........ [
> 82%]
> ...s...........s...........s...........s...........s..... [
> 86%]
> imblearn/tests/test_exceptions.py . [
> 86%]
> imblearn/tests/test_pipeline.py ........................................ [
> 89%]
> ...................... [
> 90%]
> imblearn/under_sampling/_prototype_generation/_cluster_centroids.py . [
> 90%]
> imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py
> . [ 90%]
> ........F [
> 91%]
> imblearn/under_sampling/_prototype_selection/_condensed_nearest_neighbour.py
> s [ 91%]
> [
> 91%]
> imblearn/under_sampling/_prototype_selection/_edited_nearest_neighbours.py .
> [ 91%]
> .. [
> 91%]
> imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py
> . [ 91%]
> [
> 91%]
> imblearn/under_sampling/_prototype_selection/_nearmiss.py . [
> 91%]
> imblearn/under_sampling/_prototype_selection/_neighbourhood_cleaning_rule.py
> . [ 91%]
> [
> 91%]
> imblearn/under_sampling/_prototype_selection/_one_sided_selection.py . [
> 92%]
> imblearn/under_sampling/_prototype_selection/_random_under_sampler.py . [
> 92%]
> imblearn/under_sampling/_prototype_selection/_tomek_links.py . [
> 92%]
> imblearn/under_sampling/_prototype_selection/tests/test_allknn.py ..... [
> 92%]
> imblearn/under_sampling/_prototype_selection/tests/test_condensed_nearest_neighbour.py
> . [ 92%]
> ... [
> 92%]
> imblearn/under_sampling/_prototype_selection/tests/test_edited_nearest_neighbours.py
> . [ 92%]
> .... [
> 93%]
> imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py
> . [ 93%]
> ..... [
> 93%]
> imblearn/under_sampling/_prototype_selection/tests/test_nearmiss.py .... [
> 93%]
> .. [
> 93%]
> imblearn/under_sampling/_prototype_selection/tests/test_neighbourhood_cleaning_rule.py
> . [ 94%]
> .... [
> 94%]
> imblearn/under_sampling/_prototype_selection/tests/test_one_sided_selection.py
> . [ 94%]
> ... [
> 94%]
> imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py
> s [ 94%]
> ..... [
> 94%]
> imblearn/under_sampling/_prototype_selection/tests/test_repeated_edited_nearest_neighbours.py
> . [ 95%]
> ....... [
> 95%]
> imblearn/under_sampling/_prototype_selection/tests/test_tomek_links.py . [
> 95%]
> . [
> 95%]
> imblearn/utils/estimator_checks.py . [
> 95%]
> imblearn/utils/testing.py . [
> 95%]
> imblearn/utils/tests/test_deprecation.py . [
> 95%]
> imblearn/utils/tests/test_docstring.py ... [
> 96%]
> imblearn/utils/tests/test_estimator_checks.py . [
> 96%]
> imblearn/utils/tests/test_show_versions.py ... [
> 96%]
> imblearn/utils/tests/test_testing.py .. [
> 96%]
> imblearn/utils/tests/test_validation.py ................................ [
> 98%]
> ..................s.
> [100%]
>
> =================================== FAILURES
> ===================================
> _______ [doctest] imblearn.metrics._classification.geometric_mean_score
> ________
> 777 36(3), (2003), pp 849-851.
> 778
> 779 Examples
> 780 --------
> 781 >>> from imblearn.metrics import geometric_mean_score
> 782 >>> y_true = [0, 1, 2, 0, 1, 2]
> 783 >>> y_pred = [0, 2, 1, 0, 0, 1]
> 784 >>> geometric_mean_score(y_true, y_pred) # doctest: +FLOAT_CMP
> 785 0.0
> 786 >>> geometric_mean_score(y_true, y_pred, correction=0.001) # doctest:
> +FLOAT_CMP
> Expected:
> 0.010000000000000004
> Got:
> 0.010000000000000005
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/metrics/_classification.py:786:
> DocTestFailure
> ________________________ test_cluster_centroids_n_jobs
> _________________________
>
> def test_cluster_centroids_n_jobs():
> # check that we deprecate the `n_jobs` parameter.
> cc = ClusterCentroids(n_jobs=1)
> with pytest.warns(FutureWarning) as record:
> cc.fit_resample(X, Y)
> > assert len(record) == 1
> E assert 65 == 1
> E + where 65 = len(WarningsChecker(record=True))
>
> imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py:122:
> AssertionError
> =============================== warnings summary
> ===============================
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:34
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:34:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> method='lar', copy_X=True, eps=np.finfo(np.float).eps,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:164
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:164:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> method='lar', copy_X=True, eps=np.finfo(np.float).eps,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:281
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:281:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> eps=np.finfo(np.float).eps, copy_Gram=True, verbose=0,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:865
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:865:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1121
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1121:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1149
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1149:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> eps=np.finfo(np.float).eps, positive=False):
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1379
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1379:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1621
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1621:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1755
> /usr/lib/python3/dist-packages/sklearn/linear_model/_least_angle.py:1755:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> eps=np.finfo(np.float).eps, copy_X=True, positive=False):
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/decomposition/_lda.py:28
> /usr/lib/python3/dist-packages/sklearn/decomposition/_lda.py:28:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> EPS = np.finfo(np.float).eps
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:33
> ../../../../../../usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:33
> /usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:33:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> from ._gradient_boosting import predict_stages
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py:172
> /usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py:172:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype=np.int):
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/datasets/_base.py:263:
> 3 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/_imbalance.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests/test_imbalance.py:
> 6 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py:
> 11 warnings
> /usr/lib/python3/dist-packages/sklearn/datasets/_base.py:263:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> target = np.empty((n_samples,), dtype=np.int)
>
> ../../../../../../usr/lib/python3/dist-packages/sklearn/datasets/_base.py:267:
> 450 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/_imbalance.py:
> 150 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/datasets/tests/test_imbalance.py:
> 900 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py:
> 1650 warnings
> /usr/lib/python3/dist-packages/sklearn/datasets/_base.py:267:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> target[i] = np.asarray(ir[-1], dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/base.py: 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/pipeline.py: 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/_smote_enn.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/_smote_tomek.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_bagging.py: 1
> warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_easy_ensemble.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_forest.py: 1
> warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_weight_boosting.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py:
> 10 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_adasyn.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_random_over_sampler.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_smote.py:
> 4 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py:
> 3 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 176 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py:
> 16 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/_cluster_centroids.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_edited_nearest_neighbours.py:
> 3 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_nearmiss.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_neighbourhood_cleaning_rule.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_one_sided_selection.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_random_under_sampler.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_tomek_links.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_allknn.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/utils/tests/test_estimator_checks.py:
> 2 warnings
> /usr/lib/python3/dist-packages/sklearn/datasets/_samples_generator.py:198:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> y = np.zeros(n_samples, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/pipeline.py: 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 272 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 2564 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_one_sided_selection.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_condensed_nearest_neighbour.py:
> 24 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_one_sided_selection.py:
> 3 warnings
> /usr/lib/python3/dist-packages/sklearn/neighbors/_base.py:1148:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> self._y = np.empty(y.shape, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests/test_smote_enn.py:
> 10 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/combine/tests/test_smote_tomek.py:
> 8 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 24 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_smote.py:
> 32 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_adasyn.py:
> 4 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_borderline_smote.py:
> 16 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_kmeans_smote.py:
> 399 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote.py:
> 18 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py:
> 18 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_svm_smote.py:
> 16 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 38806 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py:
> 310 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/_cluster_centroids.py:
> 1109 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_generation/tests/test_cluster_centroids.py:
> 552 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_condensed_nearest_neighbour.py:
> 36 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_nearmiss.py:
> 56 warnings
> /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:58:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype = np.float
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_bagging.py: 1
> warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_easy_ensemble.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 45 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_easy_ensemble.py:
> 38 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 55 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:314:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> elif isinstance(self.max_features, np.float):
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_bagging.py: 2
> warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_easy_ensemble.py:
> 2 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_forest.py: 1
> warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 357 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_easy_ensemble.py:
> 83 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py:
> 13 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 334 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py:
> 5 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 25 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_base.py:183:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_bagging.py:
> 10 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_easy_ensemble.py:
> 20 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 1291 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_easy_ensemble.py:
> 170 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 381 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:40:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> indices = sample_without_replacement(n_population, n_samples,
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_bagging.py:
> 10 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_easy_ensemble.py:
> 206 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_forest.py:
> 100 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_weight_boosting.py:
> 50 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 801 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_easy_ensemble.py:
> 2813 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py:
> 1497 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 12674 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py:
> 500 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 250 warnings
> /usr/lib/python3/dist-packages/sklearn/tree/_classes.py:190:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> y_encoded = np.zeros(y.shape, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/_forest.py: 1
> warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py:
> 29 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 94 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py:
> 5 warnings
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 25 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_forest.py:569:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> y_store_unique_indices = np.zeros(y.shape, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py::test_probability
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py::test_probability
> /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:152:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> all_classes = np.arange(n_classes, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py:
> 270 warnings
> /usr/lib/python3/dist-packages/sklearn/utils/__init__.py:905:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> mask = np.zeros(mask_length, dtype=np.bool)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_bagging.py::test_gridsearch
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_easy_ensemble.py::test_easy_ensemble_classifier_grid_search
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py::test_balanced_random_forest_grid_search
> /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:844:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py::test_balanced_random_forest_oob
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/ensemble/tests/test_forest.py::test_balanced_random_forest_oob
> /usr/lib/python3/dist-packages/sklearn/utils/__init__.py:1102:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> return floored.astype(np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_smote.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py:
> 10 warnings
> /usr/lib/python3/dist-packages/sklearn/preprocessing/_encoders.py:104:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> X_int = np.zeros((n_samples, n_features), dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_smote.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py:
> 10 warnings
> /usr/lib/python3/dist-packages/sklearn/preprocessing/_encoders.py:105:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> X_mask = np.ones((n_samples, n_features), dtype=np.bool)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/_smote.py:
> 1 warning
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py:
> 10 warnings
> /usr/lib/python3/dist-packages/sklearn/preprocessing/_encoders.py:459:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> indptr = np.empty(n_samples + 1, dtype=np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_random_over_sampler.py::test_random_over_sampling_heterogeneous_data
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_random_over_sampler.py:118:
> DeprecationWarning: `np.object` is a deprecated alias for the builtin
> `object`. To silence this warning, use `object` by itself. Doing this will
> not modify any behavior and is safe.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> [["xxx", 1, 1.0], ["yyy", 2, 2.0], ["zzz", 3, 3.0]], dtype=np.object
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py::test_smotenc_raising_error_all_categorical[categorical_features0]
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/over_sampling/tests/test_smote_nc.py::test_smotenc_raising_error_all_categorical[categorical_features1]
> /usr/lib/python3/dist-packages/sklearn/datasets/_samples_generator.py:30:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> out = sample_without_replacement(2 ** dimensions, samples,
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py:
> 26 warnings
> /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:1050:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> y = X[:, 0].astype(np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py::test_estimators_imblearn[BalancedBaggingClassifier(random_state=0)-check_classifier_on_multilabel_or_multioutput_targets]
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py::test_estimators_imblearn[BalancedRandomForestClassifier(random_state=0)-check_classifier_on_multilabel_or_multioutput_targets]
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py::test_estimators_imblearn[EasyEnsembleClassifier(random_state=0)-check_classifier_on_multilabel_or_multioutput_targets]
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_common.py::test_estimators_imblearn[RUSBoostClassifier(random_state=0)-check_classifier_on_multilabel_or_multioutput_targets]
> /usr/lib/python3/dist-packages/sklearn/preprocessing/_label.py:886:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype = np.int if all(isinstance(c, int) for c in classes) else object
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_none_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_none_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_none_sampler_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_none_sampler_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_sampler_none_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_sampler_none_classifier
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_methods_anova_rus
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/tests/test_pipeline.py::test_pipeline_methods_anova_rus
> /usr/lib/python3/dist-packages/sklearn/linear_model/_base.py:309:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> indices = (scores > 0).astype(np.int)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 10 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:319:
> DeprecationWarning: `np.object` is a deprecated alias for the builtin
> `object`. To silence this warning, use `object` by itself. Doing this will
> not modify any behavior and is safe.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> dtype=np.object)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 10 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:524:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> sample_mask = np.ones((n_samples, ), dtype=np.bool)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py:
> 1000 warnings
> /usr/lib/python3/dist-packages/sklearn/ensemble/_gb.py:174:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> assert sample_mask.dtype == np.bool
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_instance_hardness_threshold.py::test_iht_reproducibility
> /usr/lib/python3/dist-packages/sklearn/datasets/_base.py:716:
> 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.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> target = data[:, -1].astype(np.int, copy=False)
>
> .pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py::test_random_under_sampling_heterogeneous_data
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build/imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py:104:
> DeprecationWarning: `np.object` is a deprecated alias for the builtin
> `object`. To silence this warning, use `object` by itself. Doing this will
> not modify any behavior and is safe.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> [["xxx", 1, 1.0], ["yyy", 2, 2.0], ["zzz", 3, 3.0]], dtype=np.object
>
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info
> ============================
> SKIPPED [2] imblearn/keras/tests/test_generator.py:8: could not import
> 'keras': No module named 'keras'
> SKIPPED [4] imblearn/datasets/tests/test_imbalance.py:69: could not import
> 'pandas': No module named 'pandas'
> SKIPPED [2]
> ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355:
> Zenodo dataset can not be loaded.
> SKIPPED [2] ../../../conftest.py:27: The keras package is not installed.
> SKIPPED [1] imblearn/over_sampling/tests/test_random_over_sampler.py:45:
> could not import 'pandas': No module named 'pandas'
> SKIPPED [1] imblearn/over_sampling/tests/test_smote_nc.py:181: could not
> import 'pandas': No module named 'pandas'
> SKIPPED [4]
> ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355:
> pandas is not installed: not checking estimators for pandas objects.
> SKIPPED [2]
> ../../../../../../usr/lib/python3/dist-packages/_pytest/unittest.py:355:
> pandas is not installed: not testing for input of type pandas.Series to class
> weight.
> SKIPPED [22] imblearn/utils/estimator_checks.py:262: could not import
> 'pandas': No module named 'pandas'
> SKIPPED [4] imblearn/utils/estimator_checks.py:387: could not import
> 'pandas': No module named 'pandas'
> SKIPPED [1]
> ../../../../../../usr/lib/python3/dist-packages/_pytest/doctest.py:448: all
> tests skipped by +SKIP option
> SKIPPED [1]
> imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py:36:
> could not import 'pandas': No module named 'pandas'
> SKIPPED [1] imblearn/utils/tests/test_validation.py:343: could not import
> 'pandas': No module named 'pandas'
> = 2 failed, 1419 passed, 47 skipped, 6 deselected, 2 xfailed, 2 xpassed,
> 70957 warnings in 132.82s (0:02:12) =
> E: pybuild pybuild:354: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_imbalanced-learn/build; python3.9 -m
> pytest -k "not test_rusboost"
> dh_auto_test: error: pybuild --test --test-pytest -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/imbalanced-learn_0.7.0-6_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.
--- End Message ---
