Describe the issue:

delete returns a wrong result when the input is a 0-dim array returned from other function calls.

Reproduce the code example:

import numpy as np
a = np.array(1)
print("a:", a)
print(np.delete(a, 0))
b = np.sum(np.array([1]))
print("b:", a)
print(np.delete(b, 0))

Error message:

Output:

a: 1
[]
b: 1
3841 # multiple runs give different results


NumPy-2.2.2 is ok:

a: 1
[]
b: 1
[]

Python and NumPy Versions:

1.26.4
3.10.16 (main, Dec 11 2024, 16:24:50) [GCC 11.2.0]

Runtime Environment:

[{'numpy_version': '1.26.4',
'python': '3.10.16 (main, Dec 11 2024, 16:24:50) [GCC 11.2.0]',
'uname': uname_result(system='Linux', release='6.5.11-linuxkit', version='#1 SMP PREEMPT_DYNAMIC Wed Dec 6 17:14:50 UTC 2023', 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']}},
{'architecture': 'SkylakeX',
'filepath': '/opt/conda/envs/py_310_numpy_1264/lib/python3.10/site-packages/numpy.libs/libopenblas64_p-r0-0cf96a72.3.23.dev.so',
'internal_api': 'openblas',
'num_threads': 8,
'prefix': 'libopenblas',
'threading_layer': 'pthreads',
'user_api': 'blas',
'version': '0.3.23.dev'}]

Context for the issue:

No response