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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
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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: devel/py-traitlets/distinfo The following distfiles were unfetchable (note: some may be only fetched conditionally): ./devel/pvs/distinfo pvs-3.2-solaris.tgz ./devel/eclipse/distinfo eclipse-sourceBuild-srcIncluded-3.0.1.zip
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
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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
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Diff to previous 1.2 (colored)
py-Pympler: updated to 0.8 0.8: Added Python 3.8 support Compatibility with Django Debug Toolbar 2.x Removed Python 3.3 support Compatibility with Django Debug Toolbar 1.x Fixed Include dicts which arenãàÑÕ 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
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Diff to previous 1.1 (colored)
py-Pympler: updated to 0.7 0.7: Added 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. Changed The asizeof option stats has been enhanced to include the list of the 100 largest objects, ranked by total size. Fixed Fix TypeError raised in certain scenarios Fix TypeError when creating snapshots with classtracker in certain scenarios 0.6: Added Python 3.7 support Changed Update asizeof module to version 18.07.08. Includes more accurate sizing of objects with slots. -- By Jean Brouwers Removed Python 2.6 and 3.2 support Fixed 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 ãà×Ñymplesãàcan easily be identified. 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.