Describe the issue:

Hi,

For a research paper, we carried out a large-scale benchmark of Pynguin, an Automatic Unit Test Generation Tool for Python, to test its new feature that can find Python interpreter crashes. In this benchmark, we found a potential bug in numpy, and we are making this issue to report it.

Reproduce the code example:

from numpy.ma import masked_object

var = masked_object(None, None)
var.fill(var)

var & var

Error message:

Segmentation fault (core dumped)

Sorry, I couldn't dump the GDB traceback. I have a circular import issue with the module numpy.version, and I can't seem to fix it.

Python and NumPy Versions:

2.2.6
3.10.16 | packaged by conda-forge | (main, Apr 8 2025, 20:53:32) [GCC 13.3.0]

Runtime Environment:

[{'numpy_version': '2.2.6',
'python': '3.10.16 | packaged by conda-forge | (main, Apr 8 2025, 20:53:32) '
'[GCC 13.3.0]',
'uname': uname_result(system='Linux', node='lucas-hp', release='6.14.11-300.fc42.x86_64', version='#1 SMP PREEMPT_DYNAMIC Tue Jun 10 16:24:16 UTC 2025', machine='x86_64')},
{'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
'found': ['SSSE3',
'SSE41',
'POPCNT',
'SSE42',
'AVX',
'F16C',
'FMA3',
'AVX2'],
'not_found': ['AVX512F',
'AVX512CD',
'AVX512_KNL',
'AVX512_KNM',
'AVX512_SKX',
'AVX512_CLX',
'AVX512_CNL',
'AVX512_ICL']}},
{'architecture': 'Haswell',
'filepath': '/home/lucas/Documents/results/venvs/numpy-venv-8285b75700b6ef1fd258885a64b0bcfafe5de845aa6d4e0239b399353e26a5df/lib/python3.10/site-packages/numpy.libs/libscipy_openblas64_-56d6093b.so',
'internal_api': 'openblas',
'num_threads': 12,
'prefix': 'libscipy_openblas',
'threading_layer': 'pthreads',
'user_api': 'blas',
'version': '0.3.29'}]

Context for the issue:

It's not a serious problem, but we thought it was important to at least warn you that this behaviour exists, so that you can take the action that suits you best.