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https://issues.apache.org/jira/browse/BEAM-5878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16941329#comment-16941329
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Valentyn Tymofieiev commented on BEAM-5878:
-------------------------------------------

We have restricted dill version on master due to stackfoverflow error 
(https://issues.apache.org/jira/browse/BEAM-8324?focusedCommentId=16941261&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16941261),
 thanks for reporting it.

Also, https://github.com/apache/beam/pull/9696 will restrict dill version on 
2.16.0, keyword-only arguments won't yet be available in 2.16.0 yet, but. We 
can continue to investigate the problem related to dill upgrade in this bug.

> Support DoFns with Keyword-only arguments in Python 3.
> ------------------------------------------------------
>
>                 Key: BEAM-5878
>                 URL: https://issues.apache.org/jira/browse/BEAM-5878
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Valentyn Tymofieiev
>            Assignee: yoshiki obata
>            Priority: Minor
>             Fix For: 2.16.0
>
>          Time Spent: 14h 40m
>  Remaining Estimate: 0h
>
> Python 3.0 [adds a possibility|https://www.python.org/dev/peps/pep-3102/] to 
> define functions with keyword-only arguments. 
> Currently Beam does not handle them correctly. [~ruoyu] pointed out [one 
> place|https://github.com/apache/beam/blob/a56ce43109c97c739fa08adca45528c41e3c925c/sdks/python/apache_beam/typehints/decorators.py#L118]
>  in our codebase that we should fix: in Python in 3.0 inspect.getargspec() 
> will fail on functions with keyword-only arguments, but a new method 
> [inspect.getfullargspec()|https://docs.python.org/3/library/inspect.html#inspect.getfullargspec]
>  supports them.
> There may be implications for our (best-effort) type-hints machinery.
> We should also add a Py3-only unit tests that covers DoFn's with keyword-only 
> arguments once Beam Python 3 tests are in a good shape.



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