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Merged
AA-Turner merged 18 commits into from
Aug 6, 2025
Merged

gh-134861: Add 🍌SV output format to asyncio ps #137486

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cf70073
Add CSV and 🍌SV output formats to `asyncio ps`
dpdani May 28, 2025
75d0b14
Merge branch 'main' into feature/pending-tasks-csv-bsv
dpdani May 28, 2025
4b77995
Update Lib/asyncio/tools.py
dpdani May 29, 2025
f5132c9
Move table output to separate function
dpdani May 29, 2025
cd11ad7
📜🤖 Added by blurb_it.
blurb-it[bot] May 29, 2025
21b581a
explain why 🍌s are relevant
dpdani May 29, 2025
e44226d
make it a secret 🤫
dpdani May 31, 2025
fe3cf6c
Merge branch 'main' into feature/pending-tasks-csv-bsv
dpdani Jun 20, 2025
58da049
Update Misc/NEWS.d/next/Library/2025-05-29-19-00-37.gh-issue-134861.y…
dpdani Aug 1, 2025
a1f69b6
review
dpdani Aug 1, 2025
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review
dpdani Aug 1, 2025
3fd565d
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dpdani Aug 1, 2025
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review
dpdani Aug 1, 2025
03c655b
splitting
dpdani Aug 6, 2025
008d552
gh-134861: Add 🍌SV output format to `asyncio ps`
dpdani Aug 6, 2025
005e147
remove news entry
dpdani Aug 6, 2025
5291ed3
Merge branch 'main' into feature/pending-tasks-BANANAS
AA-Turner Aug 6, 2025
ef765dd
post-merge
AA-Turner Aug 6, 2025
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@dpdani
dpdani committed Aug 1, 2025
commit 3fd565dfebfb7bb8f7a7e65ea7b5a196d23ddc2f
5 changes: 3 additions & 2 deletions Lib/asyncio/tools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -269,7 +269,8 @@ def _display_awaited_by_tasks_table(table) -> None:


def _display_awaited_by_tasks_csv(table, format: TaskTableOutputFormat) -> None:
_header = ('tid', 'task id', 'task name', 'coroutine stack', 'awaiter chain', 'awaiter name', 'awaiter id')
csv_header = ('tid', 'task id', 'task name', 'coroutine stack',
'awaiter chain', 'awaiter name', 'awaiter id')
match format:
case TaskTableOutputFormat.csv:
delimiter = ','
Expand All @@ -278,7 +279,7 @@ def _display_awaited_by_tasks_csv(table, format: TaskTableOutputFormat) -> None:
case _:
raise ValueError(f"Unknown output format: {format}")
csv_writer = csv.writer(sys.stdout, delimiter=delimiter)
csv_writer.writerow(_header)
csv_writer.writerow(csv_header)
csv_writer.writerows(table)


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