rok commented on PR #51680:
URL: https://github.com/apache/arrow/pull/51680#issuecomment-6015480159

   @dangotbanned we could use your opinion here. If we go with auto-generated 
stubs (stubgen-pyx) plus inline annotations in Cython, we may not be able to 
express everything the current manual stubs do. From a downstream (narwhals) 
perspective, what level of precision would you eventually want: generics like 
Array[Int64Scalar] / ChunkedArray[T], overloads where the return type depends 
on the arguments (e.g. pa.array, list_), Literal narrowing? Which are 
must-haves and which are nice-to-haves?


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