python / python/cpython

Emit ResourceWarning when implicitly terminating a suspended frame?

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3.7 (EOL) interpreter-core type-feature
Dominant language
Python
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Description

BPO 28629
Nosy @ncoghlan, @vstinner, @njsmith, @vadmium, @1st1, @jstasiak

Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.

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GitHub fields:

assignee = None
closed_at = None
created_at = <Date 2016-11-07.02:50:31.347>
labels = ['3.7', 'performance']
title = 'Emit ResourceWarning when implicitly terminating a suspended frame?'
updated_at = <Date 2017-07-19.09:12:49.442>
user = 'https://github.com/ncoghlan'

bugs.python.org fields:

activity = <Date 2017-07-19.09:12:49.442>
actor = 'jstasiak'
assignee = 'none'
closed = False
closed_date = None
closer = None
components = []
creation = <Date 2016-11-07.02:50:31.347>
creator = 'ncoghlan'
dependencies = []
files = []
hgrepos = []
issue_num = 28629
keywords = []
message_count = 11.0
messages = ['280185', '280189', '280193', '280200', '280728', '280736', '280737', '280738', '280752', '280762', '290953']
nosy_count = 6.0
nosy_names = ['ncoghlan', 'vstinner', 'njs', 'martin.panter', 'yselivanov', 'jstasiak']
pr_nums = []
priority = 'normal'
resolution = None
stage = None
status = 'open'
superseder = None
type = 'resource usage'
url = 'https://bugs.python.org/issue28629'
versions = ['Python 3.7']

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading BPO issue 28629 and its 11-message discussion, since no source file, test, or entry point is identified. Clarify the expected behavior for implicitly terminating a suspended frame and determine what evidence would show that the requested ResourceWarning behavior is complete.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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