[
https://issues.apache.org/jira/browse/BEAM-4441?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17546982#comment-17546982
]
Kenneth Knowles commented on BEAM-4441:
---------------------------------------
This issue has been migrated to https://github.com/apache/beam/issues/18788
> Incorrect coder inference for List and Tuple typehints.
> -------------------------------------------------------
>
> Key: BEAM-4441
> URL: https://issues.apache.org/jira/browse/BEAM-4441
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Valentyn Tymofieiev
> Priority: P3
>
> We seem to use a FastPrimitivesCoder for List and Tuple typehints with
> homogenous element types, and fail to do the type checking:
> {code:python}
> inputs = (1, "a string")
> coder = typecoders.registry.get_coder(typehints.Tuple[int, str])
> print(type(coder)) # <class 'apache_beam.coders.coders.TupleCoder'>
> encoded = coder.encode(inputs)
> # Fails: TypeError: an integer is required - correct behaviour
> coder = typecoders.registry.get_coder(typehints.Tuple[int, ...]) # A tuple of
> integers.
> print(type(coder)) # <class 'apache_beam.coders.coders.FastPrimitivesCoder'>
> - wrong coder?
> encoded = coder.encode(inputs)
> # No errors - incorrect behavior.
> coder = typecoders.registry.get_coder(typehints.List[int]) # A list of
> integers.
> print(type(coder)) # <class 'apache_beam.coders.coders.FastPrimitivesCoder'>
> - wrong coder?
> encoded = coder.encode(inputs)
> # No errors - incorrect behavior.{code}
--
This message was sent by Atlassian Jira
(v8.20.7#820007)
