pyprof2calltree 1.4.5

Creator: railscoder56

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Description:

pyprof2calltree 1.4.5

Overview
Script to help visualize profiling data collected with the cProfile
Python module with the kcachegrind (screenshots) graphical calltree
analyser.
This is a rebranding of the venerable
http://www.gnome.org/~johan/lsprofcalltree.py script by David Allouche
et Al. It aims at making it easier to distribute (e.g. through PyPI)
and behave more like the scripts of the debian kcachegrind-converters
package. The final goal is to make it part of the official upstream
kdesdk package.


Command line usage
Upon installation you should have a pyprof2calltree script in your path:
$ pyprof2calltree --help
usage: pyprof2calltree [-h] [-o output_file_path] [-i input_file_path] [-k]
[-r scriptfile [args ...]]

optional arguments:
-h, --help show this help message and exit
-o output_file_path, --outfile output_file_path
Save calltree stats to <outfile>
-i input_file_path, --infile input_file_path
Read Python stats from <infile>
-k, --kcachegrind Run the kcachegrind tool on the converted data
-r scriptfile [args ...], --run-script scriptfile [args ...]
Name of the Python script to run to collect profiling
data


Python shell usage
pyprof2calltree is also best used from an interactive Python shell such as
the default shell. For instance let us profile XML parsing:
>>> from xml.etree import ElementTree
>>> from cProfile import Profile
>>> xml_content = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>'
>>> profiler = Profile()
>>> profiler.runctx(
... "ElementTree.fromstring(xml_content)",
... locals(), globals())

>>> from pyprof2calltree import convert, visualize
>>> visualize(profiler.getstats()) # run kcachegrind
>>> convert(profiler.getstats(), 'profiling_results.kgrind') # save for later
or with the ipython:
In [1]: %doctest_mode
Exception reporting mode: Plain
Doctest mode is: ON

>>> from xml.etree import ElementTree
>>> xml_content = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>'
>>> %prun -D out.stats ElementTree.fromstring(xml_content)

*** Profile stats marshalled to file 'out.stats'

>>> from pyprof2calltree import convert, visualize
>>> visualize('out.stats')
>>> convert('out.stats', 'out.kgrind')

>>> results = %prun -r ElementTree.fromstring(xml_content)
>>> visualize(results)


Change log


1.4.5 - 2020-04-19: Nothing user facing - changes to testing and remove deprecated eggecutable
1.4.4 - 2018-10-19: Numerous small improvements, drop support for EOL python versions
1.4.3 - 2017-07-28: Windows support (fixed is_installed check - #21)
1.4.2 - 2017-07-19: No feature or bug fixes, just license clarification (#20)
1.4.1 - 2017-05-20: No feature or bug fixes, just test distribution (#17)
1.4.0 - 2016-09-03: Support multiple functions with the same name, tick unit from millis to nanos, tests added (#15)
1.3.2 - 2014-07-05: Bugfix: correct source file paths (#12)
1.3.1 - 2013-11-27: Bugfix for broken output writing on Python 3 (#8)
1.3.0 - 2013-11-19: qcachegrind support
1.2.0 - 2013-11-09: Python 3 support
1.1.1 - 2013-09-25: Miscellaneous bugfixes
1.1.0 - 2008-12-21: integrate fix in conversion by David Glick
1.0.3 - 2008-10-16: fix typos in 1.0 release
1.0 - 2008-10-16: initial release under the pyprof2calltree name

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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