Describe the issue:

It seems that logical_or is annotated to return "ndarray[tuple[int, ...], dtype[Any]]", but it returns a single bool when called with scalar arguments. Probably other logical_xxx functions show the same behavior.

I could try to fix it (Returning a union of bool and the current annotation), but need someone pointing me at the location of the annotation.

Reproduce the code example:

import numpy as np

components_proper = np.random.random([3,3]) - .5
components_improper = np.random.random([3,3]) - .5

if np.random.randint(1,3) > 1:
    in_SST_ = np.logical_or(np.all(components_proper   >= 0.0,axis=-1),
                            np.all(components_improper >= 0.0,axis=-1))
else:
    in_SST_ = np.all(components_proper >= 0.0,axis=-1)

Error message:

error: Incompatible types in assignment (expression has type "numpy.bool[builtins.bool] | ndarray[tuple[int, ...], dtype[numpy.bool[builtins.bool]]]", variable has type "ndarray[tuple[int, ...], dtype[Any]]")  [assignment]
Found 1 error in 1 file (checked 1 source file)

Python and NumPy Versions:

NumPy 2.2.1
Python 3.13.1

Type-checker version and settings:

MyPy: 1.14.0

Additional typing packages.

n/a