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https://issues.apache.org/jira/browse/BEAM-14474?focusedWorklogId=771020&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-771020
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ASF GitHub Bot logged work on BEAM-14474:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/May/22 20:18
Start Date: 16/May/22 20:18
Worklog Time Spent: 10m
Work Description: codecov[bot] commented on PR #17682:
URL: https://github.com/apache/beam/pull/17682#issuecomment-1128095190
#
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Report
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(ee5888d) will **increase** coverage by `0.00%`.
> The diff coverage is `n/a`.
```diff
@@ Coverage Diff @@
## master #17682 +/- ##
=======================================
Coverage 73.99% 73.99%
=======================================
Files 695 695
Lines 91798 91798
=======================================
+ Hits 67927 67928 +1
+ Misses 22623 22622 -1
Partials 1248 1248
```
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[sdks/python/apache\_beam/utils/interactive\_utils.py](https://codecov.io/gh/apache/beam/pull/17682/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=The+Apache+Software+Foundation#diff-c2Rrcy9weXRob24vYXBhY2hlX2JlYW0vdXRpbHMvaW50ZXJhY3RpdmVfdXRpbHMucHk=)
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| `78.66% <0.00%> (+5.33%)` | :arrow_up: |
------
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Issue Time Tracking
-------------------
Worklog Id: (was: 771020)
Time Spent: 40m (was: 0.5h)
> Clean up/Fix runtime warning messages in python unit test standard error
> ------------------------------------------------------------------------
>
> Key: BEAM-14474
> URL: https://issues.apache.org/jira/browse/BEAM-14474
> Project: Beam
> Issue Type: Test
> Components: sdk-py-core
> Reporter: Yi Hu
> Priority: P3
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Currently the log of python unit test results contains thousands of lines of
> runtime warning / future warning / deprecation warnings, making trouble
> shooting during development inconvenient. Most of the warning messages are
> not necessary at all and could be suppressed or fixed if possible.
> For example, the most popped message is hundreds of lines of 'RuntimeWarning:
> Mean of empty slice
> return np.nanmean(a, axis, out=out, keepdims=keepdims)'
> raised in dataframe tests, which could be suppressed.
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