jorisvandenbossche commented on PR #35123:
URL: https://github.com/apache/arrow/pull/35123#issuecomment-1516156580

   While they follow the typical requirements of a scalar function of same 
shape for input / output, the kernel is not strictly speaking scalar because 
it's not just independently element-wise (i.e. the order of the values of the 
input array impact the exact result array, although you could say that the 
exact run_ends/values are an implementation detail, as long as they still 
represent "logically" the same values). 
   I don't know if this internal/theoretical detail is enough to not consider 
it as a scalar function, as in _practice_, I assume you can use this function 
in most places where the kernel is restricted to be scalar? (eg in projections)


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to