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https://issues.apache.org/jira/browse/BEAM-7746?focusedWorklogId=431899&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-431899
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ASF GitHub Bot logged work on BEAM-7746:
----------------------------------------
Author: ASF GitHub Bot
Created on: 07/May/20 21:16
Start Date: 07/May/20 21:16
Worklog Time Spent: 10m
Work Description: chadrik commented on a change in pull request #11632:
URL: https://github.com/apache/beam/pull/11632#discussion_r421799103
##########
File path: sdks/python/apache_beam/dataframe/transforms.py
##########
@@ -248,7 +261,12 @@ def _dict_union(dicts):
return result
-def _flatten(valueish, root=()):
+def _flatten(
+ valueish, # type: Union[T, Tuple[T, ...], Dict[Any, T]]
Review comment:
I should mention that typing provides a lot of opportunity to go down
rabbit-holes, so the right answer is often "it would be more accurate, but it's
not that valuable". A common motivator behind investing in accurately typing
utility functions is when it allows you to avoid adding manual / explicit types
or casts elsewhere in the code. Imagine a scenario where mypy knows key of
the `valueish` map, but after it passes through `_flatten`, you need to re-type
the result because it becomes `Any`.
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Issue Time Tracking
-------------------
Worklog Id: (was: 431899)
Time Spent: 81.5h (was: 81h 20m)
> Add type hints to python code
> -----------------------------
>
> Key: BEAM-7746
> URL: https://issues.apache.org/jira/browse/BEAM-7746
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Chad Dombrova
> Assignee: Chad Dombrova
> Priority: Major
> Time Spent: 81.5h
> Remaining Estimate: 0h
>
> As a developer of the beam source code, I would like the code to use pep484
> type hints so that I can clearly see what types are required, get completion
> in my IDE, and enforce code correctness via a static analyzer like mypy.
> This may be considered a precursor to BEAM-7060
> Work has been started here: [https://github.com/apache/beam/pull/9056]
>
>
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