[jira] [Commented] (BEAM-12413) Type inference works incorrectly with tuple slices

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-12413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17387495#comment-17387495 ] 

Beam JIRA Bot commented on BEAM-12413:
--------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> Type inference works incorrectly with tuple slices
> --------------------------------------------------
>
>                 Key: BEAM-12413
>                 URL: https://issues.apache.org/jira/browse/BEAM-12413
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Dmytro Kozhevin
>            Priority: P2
>              Labels: stale-P2
>
> Returning a slice of the tuple doesn't alter the type inference output. For example:
>   
> {{@beam.typehints.with_output_types(Tuple[int, str])}}
> {{class Foo(beam.DoFn):}}
> {{  def process(self, a):}}
> {{    yield a, str(a)}}
> {{pcoll = beam.Pipeline() }}| beam.Create([1]) | beam.ParDo(Foo()) | beam.Map(lambda x: x[1:])
> {{print(pcoll.element_type)}}
>   
>  This prints Tuple[int, str], while the real type is str. At worst, this should return Any.



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