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dtype-related segfault when taking a view in NumPy 1.21 #19325
Description
I am seeing a segfault in the zarr-python test suite when using NumPy 1.21. It appears to be related to taking a view of an array with void type:
Reproducing code example:
Here is a small reproducer independent of Zarr:
import numpy as np
dtype = np.dtype([('foo', '<i8'), ('bar', [('foo', '<i4'), ('bar', '<f4', (3, 2)), ('baz', 'u1')]), ('baz', 'S3')])
x = np.array(b'', dtype=dtype.str)
x.view(dtype) # segfaultIn 1.20.3 the output of the code above is:
array((0, (0, [[0., 0.], [0., 0.], [0., 0.]], 0), b''),
dtype=[('foo', '<i8'), ('bar', [('foo', '<i4'), ('bar', '<f4', (3, 2)), ('baz', 'u1')]), ('baz', 'S3')])
Error message:
thread 1 "python" received signal SIGSEGV, Segmentation fault.
void_to_void_resolve_descriptors (self=0x7fffc50451b0, dtypes=0x7fffffffc120, given_descrs=0x7fffffffc090, loop_descrs=0x7fffffffc0a0) at numpy/core/src/multiarray/convert_datatype.c:3296
3296 NPY_CASTING field_casting = PyArray_GetCastSafety(
NumPy/Python version information:
1.21.0 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37)
[GCC 9.3.0]
Reacted by Josh Moore
Activity
grlee77 commentedon Jun 24, 2021
It seems that the line mentioned in the segfault corrurs when trying to access the
baseattribute:given_descrs[0]->subarray->base, butgiven_descrs[0]->subarrayis NULLavoid NumPy 1.21.0 due to numpy/numpy#19325
avoid NumPy 1.21.0 due to numpy/numpy#19325
avoid NumPy 1.21.0 due to numpy/numpy#19325 (#791)
Create a Base store class for Zarr Store (update) (#789)
Move metadata handling to a class (updated) (#839)
avoid NumPy 1.21.0 due to numpy/numpy#19325 (#791)
Create a Base store class for Zarr Store (update) (#789)
Move metadata handling to a class (updated) (#839)