Source: scipy, scikit-learn
Control: found -1 scipy/1.8.1-18
Control: found -1 scikit-learn/1.1.2+dfsg-91
Severity: serious
Tags: sid bookworm
User: debian...@lists.debian.org
Usertags: breaks needs-update

Dear maintainer(s),

With a recent upload of scipy the autopkgtest of scikit-learn fails in testing when that autopkgtest is run with the binary packages of scipy from unstable. It passes when run with only packages from testing. In tabular form:

                       pass            fail
scipy                  from testing    1.8.1-18
scikit-learn           from testing    1.1.2+dfsg-91
all others             from testing    from testing

I copied some of the output at the bottom of this report.

Currently this regression is blocking the migration of scipy to testing [1]. Due to the nature of this issue, I filed this bug report against both packages. Can you please investigate the situation and reassign the bug to the right package?

More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation

Paul

[1] https://qa.debian.org/excuses.php?package=scipy

https://ci.debian.net/data/autopkgtest/testing/amd64/s/scikit-learn/29794749/log.gz

../../../../usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py::test_kernel_pca_raise_not_fitted_error PASSED ../../../../usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py::test_32_64_decomposition_shape PASSEDFatal Python error: Segmentation fault

Current thread 0x00007ff05b47d040 (most recent call first):
  File "<frozen os>", line 685 in __setitem__
File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 195 in _update_current_test_var File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 178 in pytest_runtest_teardown File "/usr/lib/python3/dist-packages/pluggy/_callers.py", line 39 in _multicall File "/usr/lib/python3/dist-packages/pluggy/_manager.py", line 80 in _hookexec File "/usr/lib/python3/dist-packages/pluggy/_hooks.py", line 265 in __call__ File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 259 in <lambda> File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 338 in from_call File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 258 in call_runtest_hook File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 219 in call_and_report File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 131 in runtestprotocol File "/usr/lib/python3/dist-packages/_pytest/runner.py", line 111 in pytest_runtest_protocol File "/usr/lib/python3/dist-packages/pluggy/_callers.py", line 39 in _multicall File "/usr/lib/python3/dist-packages/pluggy/_manager.py", line 80 in _hookexec File "/usr/lib/python3/dist-packages/pluggy/_hooks.py", line 265 in __call__ File "/usr/lib/python3/dist-packages/_pytest/main.py", line 347 in pytest_runtestloop File "/usr/lib/python3/dist-packages/pluggy/_callers.py", line 39 in _multicall File "/usr/lib/python3/dist-packages/pluggy/_manager.py", line 80 in _hookexec File "/usr/lib/python3/dist-packages/pluggy/_hooks.py", line 265 in __call__
  File "/usr/lib/python3/dist-packages/_pytest/main.py", line 322 in _main
File "/usr/lib/python3/dist-packages/_pytest/main.py", line 268 in wrap_session File "/usr/lib/python3/dist-packages/_pytest/main.py", line 315 in pytest_cmdline_main File "/usr/lib/python3/dist-packages/pluggy/_callers.py", line 39 in _multicall File "/usr/lib/python3/dist-packages/pluggy/_manager.py", line 80 in _hookexec File "/usr/lib/python3/dist-packages/pluggy/_hooks.py", line 265 in __call__ File "/usr/lib/python3/dist-packages/_pytest/config/__init__.py", line 164 in main File "/usr/lib/python3/dist-packages/_pytest/config/__init__.py", line 187 in console_main File "/usr/lib/python3/dist-packages/pytest/__main__.py", line 5 in <module>
  File "<frozen runpy>", line 88 in _run_code
  File "<frozen runpy>", line 198 in _run_module_as_main

Extension modules: sklearn.__check_build._check_build, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, scipy._lib._ccallback_c, scipy.sparse._sparsetools, scipy.sparse._csparsetools, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, sklearn.utils.murmurhash, lz4._version, lz4.frame._frame, scipy.spatial._ckdtree, scipy._lib.messagestream, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg._cythonized_array_utils, scipy.linalg._flinalg, scipy.linalg._solve_toeplitz, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg.cython_lapack, scipy.linalg._decomp_update, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.ndimage._nd_image, _ni_label, scipy.ndimage._ni_label, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.optimize._minpack2, scipy.optimize._group_columns, scipy.optimize._trlib._trlib, numpy.linalg.lapack_lite, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize.__nnls, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap_module, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, scipy.interpolate._fitpack, scipy.interpolate.dfitpack, scipy.interpolate._bspl, scipy.interpolate._ppoly, scipy.interpolate.interpnd, scipy.interpolate._rbfinterp_pythran, scipy.special.cython_special, scipy.stats._stats, beta_ufunc, scipy.stats._boost.beta_ufunc, binom_ufunc, scipy.stats._boost.binom_ufunc, nbinom_ufunc, scipy.stats._boost.nbinom_ufunc, hypergeom_ufunc, scipy.stats._boost.hypergeom_ufunc, scipy.stats._biasedurn, scipy.stats._hypotests_pythran, scipy.stats._statlib, scipy.stats._mvn, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.stats._unuran.unuran_wrapper, sklearn.utils._openmp_helpers, sklearn.utils._logistic_sigmoid, sklearn.utils.sparsefuncs_fast, sklearn.preprocessing._csr_polynomial_expansion, sklearn.utils._vector_sentinel, sklearn.feature_extraction._hashing_fast, sklearn.utils._random, sklearn.datasets._svmlight_format_fast, scipy.io.matlab._mio_utils, scipy.io.matlab._streams, scipy.io.matlab._mio5_utils, matplotlib._c_internal_utils, PIL._imaging, matplotlib._path, kiwisolver, sklearn._loss._loss, sklearn.utils._readonly_array_wrapper, sklearn.utils._typedefs, sklearn.metrics._dist_metrics, sklearn.metrics.cluster._expected_mutual_info_fast, sklearn.utils._cython_blas, sklearn.utils._heap, sklearn.utils._sorting, sklearn.metrics._pairwise_distances_reduction, sklearn.metrics._pairwise_fast, sklearn.neighbors._partition_nodes, sklearn.neighbors._ball_tree, sklearn.neighbors._kd_tree, sklearn.decomposition._cdnmf_fast, sklearn.utils._seq_dataset, sklearn.utils.arrayfuncs, sklearn.linear_model._cd_fast, sklearn.utils._weight_vector, sklearn.linear_model._sgd_fast, sklearn.linear_model._sag_fast, sklearn.svm._libsvm, sklearn.svm._liblinear, sklearn.svm._libsvm_sparse, sklearn.decomposition._online_lda_fast, sklearn._isotonic, sklearn.manifold._utils, sklearn.tree._utils, sklearn.tree._tree, sklearn.tree._splitter, sklearn.tree._criterion, sklearn.neighbors._quad_tree, sklearn.manifold._barnes_hut_tsne, sklearn.cluster._k_means_common, sklearn.cluster._k_means_minibatch, sklearn.cluster._k_means_lloyd, sklearn.cluster._k_means_elkan, sklearn.utils._fast_dict, sklearn.cluster._hierarchical_fast, sklearn.cluster._dbscan_inner, scipy.cluster._vq, scipy.cluster._hierarchy, scipy.cluster._optimal_leaf_ordering, sklearn.ensemble._gradient_boosting, sklearn.ensemble._hist_gradient_boosting.common, sklearn.ensemble._hist_gradient_boosting._gradient_boosting, sklearn.ensemble._hist_gradient_boosting._binning, sklearn.ensemble._hist_gradient_boosting._bitset, sklearn.ensemble._hist_gradient_boosting.splitting, sklearn.ensemble._hist_gradient_boosting.histogram, sklearn.ensemble._hist_gradient_boosting._predictor, sklearn.ensemble._hist_gradient_boosting.utils, scipy._lib._uarray._uarray, sklearn.svm._newrand (total: 170)
Segmentation fault
autopkgtest [22:15:36]: test python3

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