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Multiple memory leaks after raw Py_Initialize and Py_Finalize. #71075

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AleksanderGajewski mannequin opened this issue Apr 29, 2016 · 2 comments
Closed

Multiple memory leaks after raw Py_Initialize and Py_Finalize. #71075

AleksanderGajewski mannequin opened this issue Apr 29, 2016 · 2 comments
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interpreter-core (Objects, Python, Grammar, and Parser dirs) performance Performance or resource usage

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@AleksanderGajewski
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AleksanderGajewski mannequin commented Apr 29, 2016

BPO 26888
Nosy @vstinner, @serhiy-storchaka
Superseder
  • bpo-1635741: Py_Finalize() doesn't clear all Python objects at exit
    		•
    Files
  • python_leak.tar: example sources
    		•

    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 = <Date 2019-10-23.00:15:53.428>
created_at = <Date 2016-04-29.21:14:58.612>
labels = ['interpreter-core', 'performance']
title = 'Multiple memory leaks after raw Py_Initialize and Py_Finalize.'
updated_at = <Date 2019-10-23.00:15:53.426>
user = 'https://bugs.python.org/AleksanderGajewski'

    bugs.python.org fields:

    activity = <Date 2019-10-23.00:15:53.426>
actor = 'vstinner'
assignee = 'none'
closed = True
closed_date = <Date 2019-10-23.00:15:53.428>
closer = 'vstinner'
components = ['Interpreter Core']
creation = <Date 2016-04-29.21:14:58.612>
creator = 'Aleksander Gajewski'
dependencies = []
files = ['42655']
hgrepos = []
issue_num = 26888
keywords = []
message_count = 2.0
messages = ['264522', '355190']
nosy_count = 3.0
nosy_names = ['vstinner', 'serhiy.storchaka', 'Aleksander Gajewski']
pr_nums = []
priority = 'normal'
resolution = 'duplicate'
stage = 'resolved'
status = 'closed'
superseder = '1635741'
type = 'resource usage'
url = 'https://bugs.python.org/issue26888'
versions = ['Python 3.5']
    @AleksanderGajewski
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    AleksanderGajewski mannequin commented Apr 29, 2016

    There are a lot of memory leaks detected by AddressSanitzer (used with gcc-6.1). The sample program with its cmakelists and output can be found in the attachment. Exact list of memory leaks is placed in log_3_python_test.txt. I am using Python3.5.1 compile from sources (placed in /opt/python).

    @AleksanderGajewski AleksanderGajewski mannequin added stdlib Python modules in the Lib dir performance Performance or resource usage labels Apr 29, 2016
    @SilentGhost SilentGhost mannequin added interpreter-core (Objects, Python, Grammar, and Parser dirs) and removed stdlib Python modules in the Lib dir labels May 2, 2016
    @vstinner
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    That's basically a duplicate of bpo-1635741.

    @ezio-melotti ezio-melotti transferred this issue from another repository Apr 10, 2022
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