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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2022/05/04 17:28:00 UTC

[jira] [Commented] (BEAM-14052) Input type annotation of MapTuple and FlatMapTuple are ignored

    [ https://issues.apache.org/jira/browse/BEAM-14052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17531862#comment-17531862 ] 

Beam JIRA Bot commented on BEAM-14052:
--------------------------------------

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.


> Input type annotation of MapTuple and FlatMapTuple are ignored
> --------------------------------------------------------------
>
>                 Key: BEAM-14052
>                 URL: https://issues.apache.org/jira/browse/BEAM-14052
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Yu Feng
>            Priority: P2
>              Labels: stale-P2
>
> This is a tracking bug for the remaining issue of type annotation support in MapTuple and FlatMapTuple described in PR #16351.
> Consider 2 cases:
>  - MapTuple(fn(a: int, b: int, *args))
>  - MapTuple(fn(a: int, b: int, args: Tuple[Any, ...]))
> We unpack (1, 2, 3, 4) to a=1, b=1, args=(3, 4) in first case,  but fail in second case.
> My concern is that the beam representation of these 2 signatures are *likely* the same:
> input_types[0] = (int, int, Tuple[Any, ...])
> input_types[1] = {}
>  



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