Bug#1033907: marked as done (numba: autopkgtest regression: segmentation fault on arm64)

Sun, 13 Apr 2025 23:39:18 -0700 

Your message dated Sun, 13 Apr 2025 23:15:03 -0700
with message-id <[email protected]>
and subject line numba: autopkgtest regression: segmentation fault on arm64
has caused the Debian Bug report #1033907,
regarding numba: autopkgtest regression: segmentation fault on arm64
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
1033907: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1033907
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message --- 
Source: numba
Version: 0.56.4+dfsg-2
Severity: serious
Control: tags -1 bookworm-ignore
User: [email protected]
Usertags: regression

Dear maintainer(s),
Your package has an autopkgtest, great. However, as mentioned in bug #1020445 message 19 it fails since around September 2022 everywhere except amd64 (where it only finishes before timeout on our most powerful host). Can you please investigate the situation and fix it? I copied some of the output on arm64 at the bottom of this report, other architectures have different issues thought.
The release team has announced [1] that failing autopkgtest on amd64 and arm64 are considered RC in testing. [Release Team member hat on] Because we're currently in the hard freeze for bookworm, I have marked this bug as bookworm-ignore. Targeted fixes are still welcome.
More information about this bug and the reason for filing it can be found on https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation 

Paul

[1] https://lists.debian.org/debian-devel-announce/2019/07/msg00002.html

https://ci.debian.net/data/autopkgtest/testing/arm64/n/numba/32471152/log.gz

Fatal Python error: Segmentation fault

Current thread 0x0000ffff946c96e0 (most recent call first):
  File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod
  File "/usr/lib/python3.11/unittest/case.py", line 623 in run
  File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 665 in __call__ 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 125 in worker
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 71 in _launch File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 19 in __init__ 
  File "/usr/lib/python3.11/multiprocessing/context.py", line 281 in _Popen
  File "/usr/lib/python3.11/multiprocessing/process.py", line 121 in start
File "/usr/lib/python3.11/multiprocessing/pool.py", line 329 in _repopulate_pool_static File "/usr/lib/python3.11/multiprocessing/pool.py", line 306 in _repopulate_pool 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 215 in __init__
  File "/usr/lib/python3.11/multiprocessing/context.py", line 119 in Pool
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 742 in _run_inner 
  File "/usr/lib/python3.11/unittest/runner.py", line 217 in run
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 796 in run 
  File "/usr/lib/python3.11/unittest/main.py", line 274 in runTests
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 326 in run_tests_real File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 341 in runTests 
  File "/usr/lib/python3.11/unittest/main.py", line 102 in __init__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 168 in __init__ File "/usr/lib/python3/dist-packages/numba/testing/__init__.py", line 54 in run_tests File "/usr/lib/python3/dist-packages/numba/testing/_runtests.py", line 25 in _main File "/usr/lib/python3/dist-packages/numba/runtests.py", line 9 in <module> 
  File "<frozen runpy>", line 88 in _run_code
  File "<frozen runpy>", line 198 in _run_module_as_main
Extension modules: 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, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, scipy._lib._ccallback_c, 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_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, 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, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, numpy.core._umath_tests, _cffi_backend, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.special.cython_special, numba.mviewbuf, psutil._psutil_linux, psutil._psutil_posix, numpy.linalg.lapack_lite (total: 66) 
Fatal Python error: Segmentation fault

Current thread 0x0000ffff946c96e0 (most recent call first):
File "/usr/lib/python3/dist-packages/numba/tests/doc_examples/test_typed_list_usage.py", line 34 in test_ex_inferred_list_jit 
  File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod
  File "/usr/lib/python3.11/unittest/case.py", line 623 in run
  File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 665 in __call__ 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 125 in worker
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 71 in _launch File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 19 in __init__ 
  File "/usr/lib/python3.11/multiprocessing/context.py", line 281 in _Popen
  File "/usr/lib/python3.11/multiprocessing/process.py", line 121 in start
File "/usr/lib/python3.11/multiprocessing/pool.py", line 329 in _repopulate_pool_static File "/usr/lib/python3.11/multiprocessing/pool.py", line 306 in _repopulate_pool 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 215 in __init__
  File "/usr/lib/python3.11/multiprocessing/context.py", line 119 in Pool
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 742 in _run_inner 
  File "/usr/lib/python3.11/unittest/runner.py", line 217 in run
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 796 in run 
  File "/usr/lib/python3.11/unittest/main.py", line 274 in runTests
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 326 in run_tests_real File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 341 in runTests 
  File "/usr/lib/python3.11/unittest/main.py", line 102 in __init__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 168 in __init__ File "/usr/lib/python3/dist-packages/numba/testing/__init__.py", line 54 in run_tests File "/usr/lib/python3/dist-packages/numba/testing/_runtests.py", line 25 in _main File "/usr/lib/python3/dist-packages/numba/runtests.py", line 9 in <module> 
  File "<frozen runpy>", line 88 in _run_code
  File "<frozen runpy>", line 198 in _run_module_as_main
Extension modules: 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, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, scipy._lib._ccallback_c, 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_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, 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, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, numpy.core._umath_tests, _cffi_backend, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.special.cython_special, numba.mviewbuf, psutil._psutil_linux, psutil._psutil_posix (total: 65) 
Fatal Python error: Segmentation fault

Current thread 0x0000ffff946c96e0 (most recent call first):
File "/usr/lib/python3/dist-packages/numba/tests/doc_examples/test_typed_dict_usage.py", line 100 in test_ex_inferred_dict_njit 
  File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod
  File "/usr/lib/python3.11/unittest/case.py", line 623 in run
  File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 665 in __call__ 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 125 in worker
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 71 in _launch File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 19 in __init__ 
  File "/usr/lib/python3.11/multiprocessing/context.py", line 281 in _Popen
  File "/usr/lib/python3.11/multiprocessing/process.py", line 121 in start
File "/usr/lib/python3.11/multiprocessing/pool.py", line 329 in _repopulate_pool_static File "/usr/lib/python3.11/multiprocessing/pool.py", line 306 in _repopulate_pool 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 215 in __init__
  File "/usr/lib/python3.11/multiprocessing/context.py", line 119 in Pool
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 742 in _run_inner 
  File "/usr/lib/python3.11/unittest/runner.py", line 217 in run
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 796 in run 
  File "/usr/lib/python3.11/unittest/main.py", line 274 in runTests
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 326 in run_tests_real File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 341 in runTests 
  File "/usr/lib/python3.11/unittest/main.py", line 102 in __init__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 168 in __init__ File "/usr/lib/python3/dist-packages/numba/testing/__init__.py", line 54 in run_tests File "/usr/lib/python3/dist-packages/numba/testing/_runtests.py", line 25 in _main File "/usr/lib/python3/dist-packages/numba/runtests.py", line 9 in <module> 
  File "<frozen runpy>", line 88 in _run_code
  File "<frozen runpy>", line 198 in _run_module_as_main
Extension modules: 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, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, scipy._lib._ccallback_c, 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_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, 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, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, numpy.core._umath_tests, _cffi_backend, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.special.cython_special, numba.mviewbuf, psutil._psutil_linux, psutil._psutil_posix, numpy.linalg.lapack_lite (total: 66) test_ex_initial_value_list_compile_time_consts (numba.tests.doc_examples.test_literal_container_usage.DocsLiteralContainerUsageTest.test_ex_initial_value_list_compile_time_consts) ... ok test_ex_literal_dict_compile_time_consts (numba.tests.doc_examples.test_literal_container_usage.DocsLiteralContainerUsageTest.test_ex_literal_dict_compile_time_consts) ... ok test_ex_literal_list (numba.tests.doc_examples.test_literal_container_usage.DocsLiteralContainerUsageTest.test_ex_literal_list) ... ok test_ex_jitclass (numba.tests.doc_examples.test_jitclass.DocsJitclassUsageTest.test_ex_jitclass) ... ok 
Fatal Python error: Segmentation fault

Current thread 0x0000ffff8516f1a0 (most recent call first):
File "/usr/lib/python3/dist-packages/numba/typed/typedlist.py", line 345 in append File "/usr/lib/python3/dist-packages/numba/tests/doc_examples/test_typed_list_usage.py", line 87 in test_ex_nested_list 
  File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod
  File "/usr/lib/python3.11/unittest/case.py", line 623 in run
  File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 665 in __call__ 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 125 in worker
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 71 in _launch File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 19 in __init__ 
  File "/usr/lib/python3.11/multiprocessing/context.py", line 281 in _Popen
  File "/usr/lib/python3.11/multiprocessing/process.py", line 121 in start
File "/usr/lib/python3.11/multiprocessing/pool.py", line 329 in _repopulate_pool_static File "/usr/lib/python3.11/multiprocessing/pool.py", line 340 in _maintain_pool File "/usr/lib/python3.11/multiprocessing/pool.py", line 516 in _handle_workers 
  File "/usr/lib/python3.11/threading.py", line 975 in run
  File "/usr/lib/python3.11/threading.py", line 1038 in _bootstrap_inner
  File "/usr/lib/python3.11/threading.py", line 995 in _bootstrap
Extension modules: 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, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, scipy._lib._ccallback_c, 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_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, 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, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, numpy.core._umath_tests, _cffi_backend, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.special.cython_special, numba.mviewbuf, psutil._psutil_linux, psutil._psutil_posix (total: 65) 
Fatal Python error: Bus error

Current thread 0x0000ffff8516f1a0 (most recent call first):
  File "/usr/lib/python3.11/unittest/case.py", line 579 in _callTestMethod
  File "/usr/lib/python3.11/unittest/case.py", line 623 in run
  File "/usr/lib/python3.11/unittest/case.py", line 678 in __call__
File "/usr/lib/python3/dist-packages/numba/testing/main.py", line 665 in __call__ 
  File "/usr/lib/python3.11/multiprocessing/pool.py", line 125 in worker
  File "/usr/lib/python3.11/multiprocessing/process.py", line 108 in run
File "/usr/lib/python3.11/multiprocessing/process.py", line 314 in _bootstrap File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 71 in _launch File "/usr/lib/python3.11/multiprocessing/popen_fork.py", line 19 in __init__ 
  File "/usr/lib/python3.11/multiprocessing/context.py", line 281 in _Popen
  File "/usr/lib/python3.11/multiprocessing/process.py", line 121 in start
File "/usr/lib/python3.11/multiprocessing/pool.py", line 329 in _repopulate_pool_static File "/usr/lib/python3.11/multiprocessing/pool.py", line 340 in _maintain_pool File "/usr/lib/python3.11/multiprocessing/pool.py", line 516 in _handle_workers 
  File "/usr/lib/python3.11/threading.py", line 975 in run
  File "/usr/lib/python3.11/threading.py", line 1038 in _bootstrap_inner
  File "/usr/lib/python3.11/threading.py", line 995 in _bootstrap
Extension modules: 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, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, scipy._lib._ccallback_c, 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_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, 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, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, numpy.core._umath_tests, _cffi_backend, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.special.cython_special, numba.mviewbuf, psutil._psutil_linux, psutil._psutil_posix (total: 65) test_floordiv_float (numba.tests.npyufunc.test_errors.TestFloatingPointExceptions.test_floordiv_float) ... ok

Attachment: OpenPGP_signature
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--- End Message ---
--- Begin Message --- 
version: 0.61.2+dfsg-1
thanks

With patches for llvmlite-0.44.0 to get it to work with llvm-19, numba
builds for amd64 and arm64. and the arm64 build has successfully run
through ci.debian.org

So at least for now, numba seems to be working for arm64.

Numba's tests do still segfault for ppc64el, mips64el, and s390x
though.

Also upstreams list of supported architectures are x86_64, armv8, and
unofficially arm64 and ppcle64.

https://numba.readthedocs.io/en/stable/user/installing.html

Considering it's generating assembly code for different architectures,
there's likely to be platform specific issues numba doesn't know about,
leading to low level errors.

Diane

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