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pkgsrc/devel/py-Pympler/Makefile

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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
2019-07-02 05:53:18 +02:00
# $NetBSD: Makefile,v 1.3 2019/07/02 03:53:18 adam Exp $
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 “pymples” can 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.
2018-03-02 16:59:04 +01:00
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
2019-07-02 05:53:18 +02:00
DISTNAME= Pympler-0.7
Clean-up
2018-03-14 10:00:17 +01:00
PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
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 “pymples” can 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.
2018-03-02 16:59:04 +01:00
CATEGORIES= devel python
MASTER_SITES= ${MASTER_SITE_PYPI:=P/Pympler/}
MAINTAINER= pkgsrc-users@NetBSD.org
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
2019-07-02 05:53:18 +02:00
HOMEPAGE= https://github.com/pympler/pympler
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 “pymples” can 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.
2018-03-02 16:59:04 +01:00
COMMENT= Python memory analysis tool
LICENSE= apache-2.0
Clean-up
2018-03-14 10:00:17 +01:00
USE_LANGUAGES= # none
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 “pymples” can 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.
2018-03-02 16:59:04 +01:00
.include "../../lang/python/distutils.mk"
.include "../../mk/bsd.pkg.mk"
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