[Numpy-discussion] New Indexing Methods Revival #N (subclasses!)

[Sebastian Berg]

On Di, 2016-09-06 at 13:59 -0400, Marten van Kerkwijk wrote:
> In a separate message, since perhaps a little less looney: yet
> another
> option would be work by analogy with np.ix_ and define pre-dispatch
> index preparation routines np.ox_ and np.vx_ (say), which would be
> used as in:
> ```
> array[np.ox_[:, 10]]   -- or -- array[np.vx_[:, 10]]
> ```
> This could work if those functions each return something appropriate
> for the legacy indexer, or, if that is not possible, a specific
> subclass of tuple as a marker that gets interpreted further up.
> 

A specific subclass of tuple.... Part of me thinks this is horrifying,
but it actually would solve some of the subclassing issues if
`arr.vindex[...]` could end up calling `__getitem__` with a bit special
indexing tuple value.

I simply can't quite find the end of subclassing issues. We have tests
for things like masked array correctly calling the `_data` subclass,
but if the `_data` subclass does not implement the new method, numpy
would have to run in circles (or something)....

- Sebastian

> In the end, though, probably also too complicated. It may remain best
> to simply implement the new methods instead and keep it at that!
> 
> -- Marten
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