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Description
Describe the issue:
When passing a uint64 array to np.bincount, it appears to try to cast the input (or some internally created array) to int64. This in turn raises an exception.
Reproduce the code example:
import numpy as np
a = np.arange(64, dtype=np.uint64)
np.bincount(a)Error message:
Traceback (most recent call last):
File "...", line 4, in <module>
np.bincount(a)
TypeError: Cannot cast array data from dtype('uint64') to dtype('int64') according to the rule 'safe'Python and NumPy Versions:
2.2.2
3.12.5 | packaged by conda-forge | (main, Aug 8 2024, 18:32:50) [Clang 16.0.6 ]
Runtime Environment:
[{'numpy_version': '2.2.2',
'python': '3.12.5 | packaged by conda-forge | (main, Aug 8 2024, 18:32:50) '
'[Clang 16.0.6 ]',
'uname': uname_result(system='Darwin', node='jkirkham-mlt', release='23.6.0', version='Darwin Kernel Version 23.6.0: Thu Sep 12 23:35:29 PDT 2024; root:xnu-10063.141.1.701.1~1/RELEASE_ARM64_T6000', machine='arm64')},
{'simd_extensions': {'baseline': ['NEON', 'NEON_FP16', 'NEON_VFPV4', 'ASIMD'],
'found': ['ASIMDHP'],
'not_found': ['ASIMDFHM']}},
{'architecture': 'VORTEX',
'filepath': '/Users/jkirkham/miniforge/lib/libopenblas.0.dylib',
'internal_api': 'openblas',
'num_threads': 10,
'prefix': 'libopenblas',
'threading_layer': 'openmp',
'user_api': 'blas',
'version': '0.3.28'},
{'filepath': '/Users/jkirkham/miniforge/lib/libomp.dylib',
'internal_api': 'openmp',
'num_threads': 10,
'prefix': 'libomp',
'user_api': 'openmp',
'version': None}]Context for the issue:
No response