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CVS log for pkgsrc/devel/py-Pympler/distinfo

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Default branch: MAIN

Revision 1.5 / (download) - annotate - [select for diffs], Tue Oct 26 10:18:07 2021 UTC (23 months, 1 week ago) by nia
Branch: MAIN
CVS Tags: pkgsrc-2023Q3-base, pkgsrc-2023Q3, pkgsrc-2023Q2-base, pkgsrc-2023Q2, pkgsrc-2023Q1-base, pkgsrc-2023Q1, pkgsrc-2022Q4-base, pkgsrc-2022Q4, pkgsrc-2022Q3-base, pkgsrc-2022Q3, pkgsrc-2022Q2-base, pkgsrc-2022Q2, pkgsrc-2022Q1-base, pkgsrc-2022Q1, pkgsrc-2021Q4-base, pkgsrc-2021Q4, HEAD
Changes since 1.4: +2 -2 lines
Diff to previous 1.4 (colored)

archivers: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Could not be committed due to merge conflict:

The following distfiles were unfetchable (note: some may be only fetched

./devel/pvs/distinfo pvs-3.2-solaris.tgz

Revision 1.4 / (download) - annotate - [select for diffs], Thu Oct 7 13:42:53 2021 UTC (23 months, 3 weeks ago) by nia
Branch: MAIN
Changes since 1.3: +1 -2 lines
Diff to previous 1.3 (colored)

devel: Remove SHA1 hashes for distfiles

Revision 1.3 / (download) - annotate - [select for diffs], Fri Nov 22 09:35:07 2019 UTC (3 years, 10 months ago) by adam
Branch: MAIN
CVS Tags: pkgsrc-2021Q3-base, pkgsrc-2021Q3, pkgsrc-2021Q2-base, pkgsrc-2021Q2, pkgsrc-2021Q1-base, pkgsrc-2021Q1, pkgsrc-2020Q4-base, pkgsrc-2020Q4, pkgsrc-2020Q3-base, pkgsrc-2020Q3, pkgsrc-2020Q2-base, pkgsrc-2020Q2, pkgsrc-2020Q1-base, pkgsrc-2020Q1, pkgsrc-2019Q4-base, pkgsrc-2019Q4
Changes since 1.2: +5 -5 lines
Diff to previous 1.2 (colored)

py-Pympler: updated to 0.8

Python 3.8 support
Compatibility with Django Debug Toolbar 2.x

Python 3.3 support
Compatibility with Django Debug Toolbar 1.x

Include dicts which aren„ŗ—’ tracked by garbage collector in summary diff
Fix formatting of Python 3 class names in summary diff

Revision 1.2 / (download) - annotate - [select for diffs], Tue Jul 2 03:53:18 2019 UTC (4 years, 3 months ago) by adam
Branch: MAIN
CVS Tags: pkgsrc-2019Q3-base, pkgsrc-2019Q3
Changes since 1.1: +5 -5 lines
Diff to previous 1.1 (colored)

py-Pympler: updated to 0.7


Added asizeof options above and cutoff to specify minimal size and the number of large objects to be printed
The Asizer class has a new property ranked returning the number of ranked objects.
New Asizer method exclude_objs can be used to exclude objects from being sized, profiled and ranked.

The asizeof option stats has been enhanced to include the list of the 100 largest objects, ranked by total size.

Fix TypeError raised in certain scenarios
Fix TypeError when creating snapshots with classtracker in certain scenarios


Python 3.7 support

Update asizeof module to version 18.07.08. Includes more accurate sizing of objects with slots. -- By Jean Brouwers

Python 2.6 and 3.2 support

Fix KeyError when using Django memory panel in certain scenarios
Fix Debug Toolbar - Remove all jQuery variables from the global scope
Fix process import error when empty lines found in /proc/self/status
Return more accurate size of objects with slots

Revision 1.1 / (download) - annotate - [select for diffs], Fri Mar 2 15:59:04 2018 UTC (5 years, 7 months ago) by joerg
Branch: MAIN
CVS Tags: pkgsrc-2019Q2-base, pkgsrc-2019Q2, pkgsrc-2019Q1-base, pkgsrc-2019Q1, pkgsrc-2018Q4-base, pkgsrc-2018Q4, pkgsrc-2018Q3-base, pkgsrc-2018Q3, pkgsrc-2018Q2-base, pkgsrc-2018Q2, pkgsrc-2018Q1-base, pkgsrc-2018Q1

Add py-Pympler-0.5:

Pympler is a development tool to measure, monitor and analyze the memory
behavior of Python objects in a running Python application.

By pympling a Python application, detailed insight in the size and the
lifetime of Python objects can be obtained. Undesirable or unexpected
runtime behavior like memory bloat and other „ŗ◊—ymples„ŗcan easily be

Pympler integrates three previously separate projects into a single,
comprehensive profiling tool. Asizeof provides basic size information for
one or several Python objects, muppy is used for on-line monitoring of a
Python application and the class tracker provides off-line analysis of
the lifetime of selected Python objects. A web profiling frontend exposes
process statistics, garbage visualisation and class tracker statistics.

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