Describe the issue:

Actually, I first triggered this Segmentation Fault when calling np.lib.stride_tricks.as_strided. After reading the implementation of np.lib.stride_tricks.as_strided, I found it is a problem with np.asanyarray.

np.asanyarray does have a 'guard' for its argument, if you pass into a DummArray whose interface.shape is bigger than 64 and smaller than 136, it raises a ValueError: number of dimensions must be within [0, 64].

But this 'guard' fails when the size interface.shape is larger than 135, and a Segmentation Fault is achieved.

Reproduce the code example:

import numpy as np

x = 1 # x can be one of [1, [1], 's']
shape = [1]*136 # 0-135 is safe

# np.lib.stride_tricks.as_strided(x, shape=shape)

class DummyArray:
    """Dummy object that just exists to hang __array_interface__ dictionaries
    and possibly keep alive a reference to a base array.
    """

    def __init__(self, interface, base=None):
        self.__array_interface__ = interface
        self.base = base
x = np.array(x, copy=None, subok=False)
interface = dict(x.__array_interface__)
interface['shape'] = tuple(shape)
da = DummyArray(interface=interface, base=x)
np.asanyarray(da)

Error message:

Thread 1 "python" received signal SIGSEGV, Segmentation fault.
0x0000000000000001 in ?? ()
(gdb) bt
#0  0x0000000000000001 in ?? ()
#1  0x00007ffc81825b7c in ?? ()
#2  0x00007ffc81825b68 in ?? ()
#3  0x00007f12f2ef2780 in ?? ()
#4  0x0000000000000000 in ?? ()

Python and NumPy Versions:

2.2.0
3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, 13:27:36) [GCC 11.2.0]

Runtime Environment:

[{'numpy_version': '2.2.0',
'python': '3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, '
'13:27:36) [GCC 11.2.0]',
'uname': uname_result(system='Linux', node='a475b702ecc0', release='5.4.0-150-generic', version='#167~18.04.1-Ubuntu SMP Wed May 24 00:51:42 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'],
'not_found': ['AVX512_KNL',
'AVX512_KNM',
'AVX512_CNL',
'AVX512_ICL']}},
{'architecture': 'SkylakeX',
'filepath': '/root/miniconda3/envs/py312/lib/python3.12/site-packages/numpy.libs/libscipy_openblas64_-6bb31eeb.so',
'internal_api': 'openblas',
'num_threads': 64,
'prefix': 'libscipy_openblas',
'threading_layer': 'pthreads',
'user_api': 'blas',
'version': '0.3.28'}]

Context for the issue:

I thought the boundary check for numpy.asanyarray can be improved.