BUG: Addition between negative <class 'int'> and np.uint64 is not possible in numpy2

[kounelisagis]

Describe the issue:

Couldn't find something related to this on the migration docs.

Reproduce the code example:

>>> import numpy as np
>>> a = -1
>>> type(a)
<class 'int'>
>>> b = np.uint64(2)
>>> type(b)
<class 'numpy.uint64'>
>>> a += b

Error message:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
OverflowError: Python integer -1 out of bounds for uint64

Python and NumPy Versions:

2.0.0rc2
3.11.9 (main, Apr 19 2024, 11:43:47) [Clang 14.0.6 ]

Runtime Environment:

[{'numpy_version': '2.0.0rc2',
  'python': '3.11.9 (main, Apr 19 2024, 11:43:47) [Clang 14.0.6 ]',
  'uname': uname_result(system='Darwin', node='Agisilaoss-MBP', release='23.4.0', version='Darwin Kernel Version 23.4.0: Fri Mar 15 00:12:25 PDT 2024; root:xnu-10063.101.17~1/RELEASE_ARM64_T6030', machine='arm64')},
 {'simd_extensions': {'baseline': ['NEON', 'NEON_FP16', 'NEON_VFPV4', 'ASIMD'],
                      'found': ['ASIMDHP'],
                      'not_found': ['ASIMDFHM']}}]
None

Context for the issue:

Worked as of 1.26.4

[ngoldbaum]

The section describing the behavior change in the migration guide is here: https://numpy.org/devdocs/numpy_2_0_migration_guide.html#changes-to-numpy-data-type-promotion. Also take a look at NEP 50.