[Debian-med-packaging] Bug#1026474: python-skbio: FTBFS: dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.11 3.10" returned exit code 13
Lucas Nussbaum
lucas at debian.org
Tue Dec 20 16:53:10 GMT 2022
Source: python-skbio
Version: 0.5.6-6
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: lucas at debian.org
Usertags: ftbfs-20221220 ftbfs-bookworm
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> echo No testing for the -doc package
> No testing for the -doc package
> make[1]: Leaving directory '/<<PKGBUILDDIR>>'
> dh_auto_test -O--buildsystem=pybuild -Npython-skbio-doc
> I: pybuild base:240: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build; python3.11 -m pytest
> ============================= test session starts ==============================
> platform linux -- Python 3.11.1, pytest-7.2.0, pluggy-1.0.0+repack
> rootdir: /<<PKGBUILDDIR>>
> collected 2352 items
>
> skbio/alignment/tests/test_pairwise.py ......................... [ 1%]
> skbio/alignment/tests/test_ssw.py ........................... [ 2%]
> skbio/alignment/tests/test_tabular_msa.py .............................. [ 3%]
> ........................................................................ [ 6%]
> ........................................................................ [ 9%]
> ........................................................................ [ 12%]
> ........................................................................ [ 15%]
> ........................................................................ [ 18%]
> ............ [ 19%]
> skbio/diversity/alpha/tests/test_ace.py .. [ 19%]
> skbio/diversity/alpha/tests/test_base.py .................F...... [ 20%]
> skbio/diversity/alpha/tests/test_chao1.py ... [ 20%]
> skbio/diversity/alpha/tests/test_faith_pd.py ........ [ 20%]
> skbio/diversity/alpha/tests/test_gini.py ... [ 21%]
> skbio/diversity/alpha/tests/test_lladser.py ............ [ 21%]
> skbio/diversity/beta/tests/test_unifrac.py ............................ [ 22%]
> skbio/diversity/tests/test_block.py ........... [ 23%]
> skbio/diversity/tests/test_driver.py .................................. [ 24%]
> skbio/diversity/tests/test_util.py .......... [ 25%]
> skbio/io/format/tests/test_base.py ................................ [ 26%]
> skbio/io/format/tests/test_blast6.py ........... [ 26%]
> skbio/io/format/tests/test_blast7.py .............. [ 27%]
> skbio/io/format/tests/test_clustal.py ............. [ 28%]
> skbio/io/format/tests/test_embl.py ............................... [ 29%]
> skbio/io/format/tests/test_emptyfile.py .. [ 29%]
> skbio/io/format/tests/test_fasta.py ................ [ 30%]
> skbio/io/format/tests/test_fastq.py ............... [ 30%]
> skbio/io/format/tests/test_genbank.py ..................... [ 31%]
> skbio/io/format/tests/test_gff3.py ........................ [ 32%]
> skbio/io/format/tests/test_lsmat.py ....... [ 32%]
> skbio/io/format/tests/test_newick.py ....... [ 33%]
> skbio/io/format/tests/test_ordination.py ..... [ 33%]
> skbio/io/format/tests/test_phylip.py ....... [ 33%]
> skbio/io/format/tests/test_qseq.py ...... [ 34%]
> skbio/io/format/tests/test_sequence_feature_vocabulary.py .... [ 34%]
> skbio/io/format/tests/test_stockholm.py ................................ [ 35%]
> ........................................... [ 37%]
> skbio/io/tests/test_iosources.py .......... [ 37%]
> skbio/io/tests/test_registry.py ........................................ [ 39%]
> ...................................................... [ 41%]
> skbio/io/tests/test_util.py .........................................sss [ 43%]
> sssssssssssssssssssssssssss............................................. [ 46%]
> ........................................................................ [ 49%]
> ................................ [ 51%]
> skbio/metadata/tests/test_intersection.py ............... [ 51%]
> skbio/metadata/tests/test_interval.py .................................. [ 53%]
> ..................................... [ 54%]
> skbio/metadata/tests/test_mixin.py ..................................... [ 56%]
> ............................................................. [ 58%]
> skbio/sequence/tests/test_distance.py .......................... [ 60%]
> skbio/sequence/tests/test_dna.py .... [ 60%]
> skbio/sequence/tests/test_genetic_code.py .......................... [ 61%]
> skbio/sequence/tests/test_grammared_sequence.py ........................ [ 62%]
> ................... [ 63%]
> skbio/sequence/tests/test_nucleotide_sequences.py ...................... [ 64%]
> ....... [ 64%]
> skbio/sequence/tests/test_protein.py .......... [ 64%]
> skbio/sequence/tests/test_rna.py .... [ 65%]
> skbio/sequence/tests/test_sequence.py .................................. [ 66%]
> ........................................................................ [ 69%]
> ........................................................................ [ 72%]
> ........................................................................ [ 75%]
> ....... [ 75%]
> skbio/stats/distance/tests/test_anosim.py .... [ 76%]
> skbio/stats/distance/tests/test_base.py ................................ [ 77%]
> ............................................................... [ 80%]
> skbio/stats/distance/tests/test_bioenv.py ................. [ 80%]
> skbio/stats/distance/tests/test_mantel.py .............................. [ 82%]
> ......... [ 82%]
> skbio/stats/distance/tests/test_permanova.py .... [ 82%]
> skbio/stats/distance/tests/test_permdisp.py ............ [ 83%]
> skbio/stats/evolve/tests/test_hommola.py ............ [ 83%]
> skbio/stats/ordination/tests/test_canonical_correspondence_analysis.py . [ 83%]
> ..... [ 83%]
> skbio/stats/ordination/tests/test_correspondence_analysis.py ........ [ 84%]
> skbio/stats/ordination/tests/test_ordination_results.py ................ [ 84%]
> [ 84%]
> skbio/stats/ordination/tests/test_principal_coordinate_analysis.py ..... [ 85%]
> ...... [ 85%]
> skbio/stats/ordination/tests/test_redundancy_analysis.py .... [ 85%]
> skbio/stats/ordination/tests/test_util.py ......... [ 86%]
> skbio/stats/tests/test_composition.py .................................. [ 87%]
> ........................ [ 88%]
> skbio/stats/tests/test_gradient.py .......................... [ 89%]
> skbio/stats/tests/test_misc.py ... [ 89%]
> skbio/stats/tests/test_power.py ........................................ [ 91%]
> ... [ 91%]
> skbio/stats/tests/test_subsample.py ............ [ 92%]
> skbio/tests/test_base.py ..... [ 92%]
> skbio/tests/test_workflow.py ................. [ 92%]
> skbio/tree/tests/test_majority_rule.py ...... [ 93%]
> skbio/tree/tests/test_nj.py ........... [ 93%]
> skbio/tree/tests/test_tree.py .......................................... [ 95%]
> ................................................. [ 97%]
> skbio/util/tests/test_decorator.py ....................... [ 98%]
> skbio/util/tests/test_misc.py ................... [ 99%]
> skbio/util/tests/test_testing.py ............... [100%]
>
> =================================== FAILURES ===================================
> ___________________________ BaseTests.test_pielou_e ____________________________
>
> self = <skbio.diversity.alpha.tests.test_base.BaseTests testMethod=test_pielou_e>
>
> def test_pielou_e(self):
> # Calculate "by hand".
> arr = np.array([1, 2, 3, 1])
> h = shannon(arr, np.e)
> s = 4
> expected = h / np.log(s)
> self.assertAlmostEqual(pielou_e(arr), expected)
>
> self.assertAlmostEqual(pielou_e(self.counts), 0.92485490560)
>
> > self.assertEqual(pielou_e([1, 1]), 1.0)
> E AssertionError: 1.0000000000000002 != 1.0
>
> skbio/diversity/alpha/tests/test_base.py:218: AssertionError
> =============================== warnings summary ===============================
> skbio/stats/ordination/tests/test_redundancy_analysis.py:12
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_redundancy_analysis.py:12: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
> import pandas.util.testing as pdt
>
> .pybuild/cpython3_3.11_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestLoc::test_multiindex_complicated_axis
> .pybuild/cpython3_3.11_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestLoc::test_multiindex_complicated_axis_empty_selection
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/alignment/_indexing.py:116: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> indexable = np.asarray(list(indexable))
>
> .pybuild/cpython3_3.11_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestGapFrequencies::test_no_positions_relative
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/alignment/_tabular_msa.py:1653: RuntimeWarning: invalid value encountered in divide
> gap_freqs /= length
>
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/beta/tests/test_unifrac.py::UnifracTests::test_invalid_input
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/tests/test_util.py::ValidationTests::test_validate_counts_matrix_unequal_lengths
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/diversity/_util.py:56: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> counts = np.asarray(counts)
>
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/tests/test_block.py: 3 warnings
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/tests/test_driver.py: 9 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: partial_beta_diversity is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. The return type is unstable. Developer caution is advised. The resulting DistanceMatrix object will include zeros when distance has not been calculated, and therefore can be misleading.
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/tests/test_driver.py::BetaDiversityTests::test_qualitative_bug_issue_1549
> /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2008: DataConversionWarning: Data was converted to boolean for metric jaccard
> warnings.warn(msg, DataConversionWarning)
>
> .pybuild/cpython3_3.11_skbio/build/skbio/diversity/tests/test_util.py::ValidationTests::test_validate_counts_vector_invalid_input
> /usr/lib/python3/dist-packages/numpy/lib/type_check.py:300: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
> return imag(x) == 0
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: has_nondegenerates is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to has_definites
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_protein.py::TestProtein::test_nondegenerate_chars
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_protein.py::TestProtein::test_nondegenerate_chars
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: nondegenerate_chars is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to definite_chars
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: nondegenerates is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to definites
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_frequencies_empty_sequence
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/sequence/_sequence.py:1819: RuntimeWarning: invalid value encountered in divide
> obs_counts = obs_counts / len(self)
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_init_invalid_sequence
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_sequence.py:461: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> Sequence(np.array([1, {}, ()]))
>
> .pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_munge_to_index_array_valid_iterable
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/sequence/tests/test_sequence.py:2214: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> for c in (lambda x: x, list, tuple, lambda x: np.array(tuple(x)),
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_mantel.py::MantelTests::test_no_variation_pearson
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
> warnings.warn(PearsonRConstantInputWarning())
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_mantel.py::MantelTests::test_no_variation_spearman
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:4529: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
> warnings.warn(SpearmanRConstantInputWarning())
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_eq_groups
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_no_permuations
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -13.541846544269621 and the largest is 16.5872013747859.
> warn(
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_mixedgroups
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_uneq_groups
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -15.629533932395216 and the largest is 20.90315427793891.
> warn(
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_null
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_not_distance_matrix
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:188: RuntimeWarning: invalid value encountered in divide
> proportion_explained = eigvals / sum_eigenvalues
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_null
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/tests/test_composition.py::AncomTests::test_ancom_no_signal
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:3659: F_onewayConstantInputWarning: Each of the input arrays is constant;the F statistic is not defined or infinite
> warnings.warn(F_onewayConstantInputWarning())
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_confirm_betadispr_results
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.007758325147780645 and the largest is 2.7077929489469246.
> warn(
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_no_metadata
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_with_categorical_metadata_and_plot_options
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_with_numeric_metadata_and_plot_options
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_png
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_repr_png
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_repr_svg
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_svg
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/_ordination_results.py:285: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations.
> fig.tight_layout()
>
> .pybuild/cpython3_3.11_skbio/build/skbio/stats/ordination/tests/test_redundancy_analysis.py::TestRDAErrors::test_shape
> /usr/lib/python3.11/unittest/case.py:678: DeprecationWarning: It is deprecated to return a value that is not None from a test case (<bound method TestRDAErrors.test_shape of <skbio.stats.ordination.tests.test_redundancy_analysis.TestRDAErrors testMethod=test_shape>>)
> return self.run(*args, **kwds)
>
> .pybuild/cpython3_3.11_skbio/build/skbio/util/tests/test_decorator.py::TestDeprecated::test_function_output
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: f is deprecated as of scikit-bio version 0.1.0, and will be removed in version 0.1.4. You should now use skbio.g().
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info ============================
> FAILED skbio/diversity/alpha/tests/test_base.py::BaseTests::test_pielou_e - A...
> ====== 1 failed, 2321 passed, 30 skipped, 65 warnings in 67.53s (0:01:07) ======
> E: pybuild pybuild:386: test: plugin distutils failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_skbio/build; python3.11 -m pytest
> I: pybuild base:240: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build; python3.10 -m pytest
> ============================= test session starts ==============================
> platform linux -- Python 3.10.9, pytest-7.2.0, pluggy-1.0.0+repack
> rootdir: /<<PKGBUILDDIR>>
> collected 2352 items
>
> skbio/alignment/tests/test_pairwise.py ......................... [ 1%]
> skbio/alignment/tests/test_ssw.py ........................... [ 2%]
> skbio/alignment/tests/test_tabular_msa.py .............................. [ 3%]
> ........................................................................ [ 6%]
> ........................................................................ [ 9%]
> ........................................................................ [ 12%]
> ........................................................................ [ 15%]
> ........................................................................ [ 18%]
> ............ [ 19%]
> skbio/diversity/alpha/tests/test_ace.py .. [ 19%]
> skbio/diversity/alpha/tests/test_base.py .................F...... [ 20%]
> skbio/diversity/alpha/tests/test_chao1.py ... [ 20%]
> skbio/diversity/alpha/tests/test_faith_pd.py ........ [ 20%]
> skbio/diversity/alpha/tests/test_gini.py ... [ 21%]
> skbio/diversity/alpha/tests/test_lladser.py ............ [ 21%]
> skbio/diversity/beta/tests/test_unifrac.py ............................ [ 22%]
> skbio/diversity/tests/test_block.py ........... [ 23%]
> skbio/diversity/tests/test_driver.py .................................. [ 24%]
> skbio/diversity/tests/test_util.py .......... [ 25%]
> skbio/io/format/tests/test_base.py ................................ [ 26%]
> skbio/io/format/tests/test_blast6.py ........... [ 26%]
> skbio/io/format/tests/test_blast7.py .............. [ 27%]
> skbio/io/format/tests/test_clustal.py ............. [ 28%]
> skbio/io/format/tests/test_embl.py ............................... [ 29%]
> skbio/io/format/tests/test_emptyfile.py .. [ 29%]
> skbio/io/format/tests/test_fasta.py ................ [ 30%]
> skbio/io/format/tests/test_fastq.py ............... [ 30%]
> skbio/io/format/tests/test_genbank.py ..................... [ 31%]
> skbio/io/format/tests/test_gff3.py ........................ [ 32%]
> skbio/io/format/tests/test_lsmat.py ....... [ 32%]
> skbio/io/format/tests/test_newick.py ....... [ 33%]
> skbio/io/format/tests/test_ordination.py ..... [ 33%]
> skbio/io/format/tests/test_phylip.py ....... [ 33%]
> skbio/io/format/tests/test_qseq.py ...... [ 34%]
> skbio/io/format/tests/test_sequence_feature_vocabulary.py .... [ 34%]
> skbio/io/format/tests/test_stockholm.py ................................ [ 35%]
> ........................................... [ 37%]
> skbio/io/tests/test_iosources.py .......... [ 37%]
> skbio/io/tests/test_registry.py ........................................ [ 39%]
> ...................................................... [ 41%]
> skbio/io/tests/test_util.py .........................................sss [ 43%]
> sssssssssssssssssssssssssss............................................. [ 46%]
> ........................................................................ [ 49%]
> ................................ [ 51%]
> skbio/metadata/tests/test_intersection.py ............... [ 51%]
> skbio/metadata/tests/test_interval.py .................................. [ 53%]
> ..................................... [ 54%]
> skbio/metadata/tests/test_mixin.py ..................................... [ 56%]
> ............................................................. [ 58%]
> skbio/sequence/tests/test_distance.py .......................... [ 60%]
> skbio/sequence/tests/test_dna.py .... [ 60%]
> skbio/sequence/tests/test_genetic_code.py .......................... [ 61%]
> skbio/sequence/tests/test_grammared_sequence.py ........................ [ 62%]
> ................... [ 63%]
> skbio/sequence/tests/test_nucleotide_sequences.py ...................... [ 64%]
> ....... [ 64%]
> skbio/sequence/tests/test_protein.py .......... [ 64%]
> skbio/sequence/tests/test_rna.py .... [ 65%]
> skbio/sequence/tests/test_sequence.py .................................. [ 66%]
> ........................................................................ [ 69%]
> ........................................................................ [ 72%]
> ........................................................................ [ 75%]
> ....... [ 75%]
> skbio/stats/distance/tests/test_anosim.py .... [ 76%]
> skbio/stats/distance/tests/test_base.py ................................ [ 77%]
> ............................................................... [ 80%]
> skbio/stats/distance/tests/test_bioenv.py ................. [ 80%]
> skbio/stats/distance/tests/test_mantel.py .............................. [ 82%]
> ......... [ 82%]
> skbio/stats/distance/tests/test_permanova.py .... [ 82%]
> skbio/stats/distance/tests/test_permdisp.py ............ [ 83%]
> skbio/stats/evolve/tests/test_hommola.py ............ [ 83%]
> skbio/stats/ordination/tests/test_canonical_correspondence_analysis.py . [ 83%]
> ..... [ 83%]
> skbio/stats/ordination/tests/test_correspondence_analysis.py ........ [ 84%]
> skbio/stats/ordination/tests/test_ordination_results.py ................ [ 84%]
> [ 84%]
> skbio/stats/ordination/tests/test_principal_coordinate_analysis.py ..... [ 85%]
> ...... [ 85%]
> skbio/stats/ordination/tests/test_redundancy_analysis.py .... [ 85%]
> skbio/stats/ordination/tests/test_util.py ......... [ 86%]
> skbio/stats/tests/test_composition.py .................................. [ 87%]
> ........................ [ 88%]
> skbio/stats/tests/test_gradient.py .......................... [ 89%]
> skbio/stats/tests/test_misc.py ... [ 89%]
> skbio/stats/tests/test_power.py ........................................ [ 91%]
> ... [ 91%]
> skbio/stats/tests/test_subsample.py ............ [ 92%]
> skbio/tests/test_base.py ..... [ 92%]
> skbio/tests/test_workflow.py ................. [ 92%]
> skbio/tree/tests/test_majority_rule.py ...... [ 93%]
> skbio/tree/tests/test_nj.py ........... [ 93%]
> skbio/tree/tests/test_tree.py .......................................... [ 95%]
> ................................................. [ 97%]
> skbio/util/tests/test_decorator.py ....................... [ 98%]
> skbio/util/tests/test_misc.py ................... [ 99%]
> skbio/util/tests/test_testing.py ............... [100%]
>
> =================================== FAILURES ===================================
> ___________________________ BaseTests.test_pielou_e ____________________________
>
> self = <skbio.diversity.alpha.tests.test_base.BaseTests testMethod=test_pielou_e>
>
> def test_pielou_e(self):
> # Calculate "by hand".
> arr = np.array([1, 2, 3, 1])
> h = shannon(arr, np.e)
> s = 4
> expected = h / np.log(s)
> self.assertAlmostEqual(pielou_e(arr), expected)
>
> self.assertAlmostEqual(pielou_e(self.counts), 0.92485490560)
>
> > self.assertEqual(pielou_e([1, 1]), 1.0)
> E AssertionError: 1.0000000000000002 != 1.0
>
> skbio/diversity/alpha/tests/test_base.py:218: AssertionError
> =============================== warnings summary ===============================
> skbio/stats/ordination/tests/test_redundancy_analysis.py:12
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_redundancy_analysis.py:12: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
> import pandas.util.testing as pdt
>
> .pybuild/cpython3_3.10_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestLoc::test_multiindex_complicated_axis
> .pybuild/cpython3_3.10_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestLoc::test_multiindex_complicated_axis_empty_selection
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/alignment/_indexing.py:116: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> indexable = np.asarray(list(indexable))
>
> .pybuild/cpython3_3.10_skbio/build/skbio/alignment/tests/test_tabular_msa.py::TestGapFrequencies::test_no_positions_relative
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/alignment/_tabular_msa.py:1653: RuntimeWarning: invalid value encountered in divide
> gap_freqs /= length
>
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/beta/tests/test_unifrac.py::UnifracTests::test_invalid_input
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/tests/test_util.py::ValidationTests::test_validate_counts_matrix_unequal_lengths
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/diversity/_util.py:56: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> counts = np.asarray(counts)
>
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/tests/test_block.py: 3 warnings
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/tests/test_driver.py: 9 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: partial_beta_diversity is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. The return type is unstable. Developer caution is advised. The resulting DistanceMatrix object will include zeros when distance has not been calculated, and therefore can be misleading.
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/tests/test_driver.py::BetaDiversityTests::test_qualitative_bug_issue_1549
> /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2008: DataConversionWarning: Data was converted to boolean for metric jaccard
> warnings.warn(msg, DataConversionWarning)
>
> .pybuild/cpython3_3.10_skbio/build/skbio/diversity/tests/test_util.py::ValidationTests::test_validate_counts_vector_invalid_input
> /usr/lib/python3/dist-packages/numpy/lib/type_check.py:300: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
> return imag(x) == 0
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_has_nondegenerates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: has_nondegenerates is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to has_definites
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_nucleotide_sequences.py::TestNucleotideSequence::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_protein.py::TestProtein::test_nondegenerate_chars
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_protein.py::TestProtein::test_nondegenerate_chars
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: nondegenerate_chars is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to definite_chars
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_grammared_sequence.py::TestGrammaredSequence::test_nondegenerates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: nondegenerates is deprecated as of scikit-bio version 0.5.0, and will be removed in version 0.6.0. Renamed to definites
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_frequencies_empty_sequence
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/sequence/_sequence.py:1819: RuntimeWarning: invalid value encountered in divide
> obs_counts = obs_counts / len(self)
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_init_invalid_sequence
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_sequence.py:461: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> Sequence(np.array([1, {}, ()]))
>
> .pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_sequence.py::TestSequence::test_munge_to_index_array_valid_iterable
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/sequence/tests/test_sequence.py:2214: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
> for c in (lambda x: x, list, tuple, lambda x: np.array(tuple(x)),
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_mantel.py::MantelTests::test_no_variation_pearson
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
> warnings.warn(PearsonRConstantInputWarning())
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_mantel.py::MantelTests::test_no_variation_spearman
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:4529: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
> warnings.warn(SpearmanRConstantInputWarning())
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_eq_groups
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_no_permuations
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -13.541846544269621 and the largest is 16.5872013747859.
> warn(
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_mixedgroups
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_uneq_groups
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -15.629533932395216 and the largest is 20.90315427793891.
> warn(
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_null
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_not_distance_matrix
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:188: RuntimeWarning: invalid value encountered in divide
> proportion_explained = eigvals / sum_eigenvalues
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_centroids_null
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/tests/test_composition.py::AncomTests::test_ancom_no_signal
> /usr/lib/python3/dist-packages/scipy/stats/_stats_py.py:3659: F_onewayConstantInputWarning: Each of the input arrays is constant;the F statistic is not defined or infinite
> warnings.warn(F_onewayConstantInputWarning())
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/distance/tests/test_permdisp.py::testPERMDISP::test_confirm_betadispr_results
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/_principal_coordinate_analysis.py:143: RuntimeWarning: The result contains negative eigenvalues. Please compare their magnitude with the magnitude of some of the largest positive eigenvalues. If the negative ones are smaller, it's probably safe to ignore them, but if they are large in magnitude, the results won't be useful. See the Notes section for more details. The smallest eigenvalue is -0.007758325147780645 and the largest is 2.7077929489469246.
> warn(
>
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_no_metadata
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_with_categorical_metadata_and_plot_options
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_plot_with_numeric_metadata_and_plot_options
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_png
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_repr_png
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_repr_svg
> .pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/tests/test_ordination_results.py::TestOrdinationResults::test_svg
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/stats/ordination/_ordination_results.py:285: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations.
> fig.tight_layout()
>
> .pybuild/cpython3_3.10_skbio/build/skbio/util/tests/test_decorator.py::TestDeprecated::test_function_output
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build/skbio/util/_decorator.py:254: DeprecationWarning: f is deprecated as of scikit-bio version 0.1.0, and will be removed in version 0.1.4. You should now use skbio.g().
> warnings.warn('%s is deprecated as of scikit-bio version %s, and '
>
> -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
> =========================== short test summary info ============================
> FAILED skbio/diversity/alpha/tests/test_base.py::BaseTests::test_pielou_e - A...
> =========== 1 failed, 2321 passed, 30 skipped, 64 warnings in 45.64s ===========
> E: pybuild pybuild:386: test: plugin distutils failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_skbio/build; python3.10 -m pytest
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.11 3.10" returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2022/12/20/python-skbio_0.5.6-6_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20221220;users=lucas@debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20221220&fusertaguser=lucas@debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
If you reassign this bug to another package, please mark 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.
More information about the Debian-med-packaging
mailing list