BUG: resize causes segfault in case of arreys with structured dtype #27225
Description
Describe the issue:
Calling the .resize method in arrays with structured dtype causes segmentation fault.
If has been verified with Numpy v2.1.0rc1 and v2.2.0.dev0+git20240813.ab2f5e9.
Numpy v2.0.x work as expected instead.
Reproduce the code example:
>>> import numpy as np
>>> np.__version__
'2.2.0.dev0+git20240813.ab2f5e9'
>>> a = np.array([(i, float(i)) for i in range(5)], dtype='u4,f4')
>>> a.resize((10,))Error message:
Segmentation faultPython and NumPy Versions:
- Python v3.12
- Numpy v2.1.0rc1 and v2.2.0.dev0+git20240813.ab2f5e9
Runtime Environment:
>>> import numpy; numpy.show_runtime()
[{'numpy_version': '2.1.0rc1',
'python': '3.12.3 (main, Jul 31 2024, 17:43:48) [GCC 13.2.0]',
'uname': uname_result(system='Linux', node='XPS-13-9300', release='6.8.0-40-generic', version='#40-Ubuntu SMP PREEMPT_DYNAMIC Fri Jul 5 10:34:03 UTC 2024', machine='x86_64')},
{'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
'found': ['SSSE3',
'SSE41',
'POPCNT',
'SSE42',
'AVX',
'F16C',
'FMA3',
'AVX2',
'AVX512F',
'AVX512CD',
'AVX512_SKX',
'AVX512_CLX',
'AVX512_CNL',
'AVX512_ICL'],
'not_found': ['AVX512_KNL', 'AVX512_KNM']}}]
Context for the issue:
We are in the process of releasing an hotfix version for PyTables (v3.10.1, see also PyTables/PyTables#1206) and we have a red light in our CI.
If the bug cannot be fixed in numpy 2.1 we could try to implement an workaround on our side but we would prefer to keep the code clean.