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https://issues.apache.org/jira/browse/BEAM-13860?focusedWorklogId=723374&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-723374
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ASF GitHub Bot logged work on BEAM-13860:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Feb/22 02:18
Start Date: 09/Feb/22 02:18
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#16788:
URL: https://github.com/apache/beam/pull/16788#discussion_r802215052
##########
File path: sdks/python/apache_beam/dataframe/schemas.py
##########
@@ -275,7 +275,7 @@ def _unbatch_transform(proxy, include_indexes):
return beam.ParDo(
_UnbatchWithIndex(ctor) if include_indexes else _UnbatchNoIndex(ctor)
- ).with_output_types(ctor)
Review comment:
Note this is a workaround I had added, because the override for
`infer_output_type` did not work (this typehint is verified in schemas_test.py).
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Issue Time Tracking
-------------------
Worklog Id: (was: 723374)
Time Spent: 20m (was: 10m)
> ParDo.infer_output_type expects Do.infer_output_type to return Iterable of
> element_type
> ---------------------------------------------------------------------------------------
>
> Key: BEAM-13860
> URL: https://issues.apache.org/jira/browse/BEAM-13860
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Time Spent: 20m
> Remaining Estimate: 0h
>
> ParDo.infer_output_type expects Do.infer_output_type to return Iterable of
> element_type, but this is inconsistent with every other infer_output_type
> implementation, which is expected to return the actual element type
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