numpy >1.2 compatability

[tr11-sanger]

Changed xp.bool to bool, as recommended by numpy

[vnmabus]

I do not understand the reason for the change. I think in older NumPy versions, np.bool was an alias for bool (and maybe that is why it suggested that change). However, with more modern NumPy versions (>= 2.0.0 I think) np.bool is the actual dtype.

The problem with changing it to bool is that other array libraries may not support that as a dtype (they are not required to, according to the array API standard: https://data-apis.org/array-api/latest/API_specification/data_types.html). Thus, the code may not be portable across libraries that follow the standard.

[tr11-sanger]

With numpy 1.26.0 I get the following error:

AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

Sounds like it's not an issue with numpy>2.0.0 though

Thanks