Fix numpy annotations for pybind v3.0.0

[sarlinpe]

• Copied tests from v2.13 and updated for the changes introduced by v3.0.0
  • int -> typing.SupportsInt and similarly for float
  • set/list/dict and generic types in typing -> collections.abc equivalent
• Unified the parsing of annotation strings in FixNumpyArrayDimTypeVar and FixNumpyArrayDimAnnotation to handle both old-style (pre-v3.0.0) and new-style annotations.
  • old-style: np.ndarray[PRIMITIVE_TYPE[*DIMS], *FLAGS]
  • new-style:
    typing.Annotated[numpy.typing.ArrayLike, PRIMITIVE_TYPE, "[*DIMS]", "*FLAGS"]
typing.Annotated[numpy.typing.NDArray[PRIMITIVE_TYPE], "[*DIMS]", "*FLAGS"]
typing.Annotated[numpy.typing.ndarray[Any, PRIMITIVE_TYPE], "[*DIMS]", "*FLAGS"]
typing.Annotated[typing.Annotated[NDArray[...]], "[m, n]", "*FLAGS"]
• Handle again the deprecated numpy.bool dtype since v3.0.0 apparently uses it (instead of the native bool)
• Fix a bug resulting in parse_annotation_str not being called on the first nested level of a union, thereby breaking the parsing of Union[Annotated[numpy...], None]
• Check test errors with --numpy-array-wrap-with-annotated since v3.0.0 does not anymore throw errors on missing import for dynamic shape variables.

Unrelated to v3.0.0 but necessary to run tests locally: ensure the tests are built with the correct C++ standard

These fixes have been working well for us at https://github.com/colmap/colmap

Fixes #264