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https://issues.apache.org/jira/browse/BEAM-4441?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17139580#comment-17139580
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Beam JIRA Bot commented on BEAM-4441:
-------------------------------------
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> 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}
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