Hi everybody,
In writing some generic code, I've encountered situations where it would
reduce code complexity to allow NumPy scalars to be "indexed" in the
same number of limited ways, that 0-d arrays support.
For example, 0-d arrays can be indexed with
* Boolean masks
* Ellipses x[...] and x[..., newaxis]
* Empty tuple x[()]
I think that numpy scalars should also be indexable in these particular
cases as well (read-only of course, i.e. no setting of the value would
be possible).
This is an easy change to implement, and I don't think it would cause
any backward compatibility issues.
Any opinions from the list?
Best regards,
-Travis O.
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