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        "author": "Peter Waller",
        "author_email": "p@pwaller.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Environment :: X11 Applications :: KDE",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Desktop Environment :: K Desktop Environment (KDE)",
            "Topic :: Software Development",
            "Topic :: Software Development :: Quality Assurance",
            "Topic :: System :: System Shells",
            "Topic :: Utilities"
        ],
        "description": "Overview\n========\n\nScript to help visualize profiling data collected with the cProfile\nPython module with the kcachegrind_ (screenshots_) graphical calltree\nanalyser.\n\nThis is a rebranding of the venerable\nhttp://www.gnome.org/~johan/lsprofcalltree.py script by David Allouche\net Al. It aims at making it easier to distribute (e.g. through PyPI)\nand behave more like the scripts of the debian kcachegrind-converters_\npackage. The final goal is to make it part of the official upstream\nkdesdk_ package.\n\n.. _kcachegrind: http://kcachegrind.sourceforge.net\n.. _kcachegrind-converters: https://packages.debian.org/en/stable/kcachegrind-converters\n.. _kdesdk: http://websvn.kde.org/trunk/KDE/kdesdk/kcachegrind/converters/\n.. _screenshots: http://images.google.fr/images?q=kcachegrind\n\nCommand line usage\n==================\n\nUpon installation you should have a `pyprof2calltree` script in your path::\n\n  $ pyprof2calltree --help\n  usage: pyprof2calltree [-h] [-o output_file_path] [-i input_file_path] [-k]\n                         [-r scriptfile [args ...]]\n\n  optional arguments:\n    -h, --help            show this help message and exit\n    -o output_file_path, --outfile output_file_path\n                          Save calltree stats to <outfile>\n    -i input_file_path, --infile input_file_path\n                          Read Python stats from <infile>\n    -k, --kcachegrind     Run the kcachegrind tool on the converted data\n    -r scriptfile [args ...], --run-script scriptfile [args ...]\n                          Name of the Python script to run to collect profiling\n                          data\n\n\nPython shell usage\n==================\n\n`pyprof2calltree` is also best used from an interactive Python shell such as\nthe default shell. For instance let us profile XML parsing::\n\n  >>> from xml.etree import ElementTree\n  >>> from cProfile import Profile\n  >>> xml_content = '<a>\\n' + '\\t<b/><c><d>text</d></c>\\n' * 100 + '</a>'\n  >>> profiler = Profile()\n  >>> profiler.runctx(\n  ...     \"ElementTree.fromstring(xml_content)\",\n  ...     locals(), globals())\n\n  >>> from pyprof2calltree import convert, visualize\n  >>> visualize(profiler.getstats())                            # run kcachegrind\n  >>> convert(profiler.getstats(), 'profiling_results.kgrind')  # save for later\n\nor with the ipython_::\n\n  In [1]: %doctest_mode\n  Exception reporting mode: Plain\n  Doctest mode is: ON\n\n  >>> from xml.etree import ElementTree\n  >>> xml_content = '<a>\\n' + '\\t<b/><c><d>text</d></c>\\n' * 100 + '</a>'\n  >>> %prun -D out.stats ElementTree.fromstring(xml_content)\n\n  *** Profile stats marshalled to file 'out.stats'\n\n  >>> from pyprof2calltree import convert, visualize\n  >>> visualize('out.stats')\n  >>> convert('out.stats', 'out.kgrind')\n\n  >>> results = %prun -r ElementTree.fromstring(xml_content)\n  >>> visualize(results)\n\n.. _ipython: https://ipython.org/\n\n\nChange log\n==========\n\n - 1.4.4 - 2018-10-19: Numerous small improvements, drop support for EOL python versions\n - 1.4.3 - 2017-07-28: Windows support (fixed is_installed check - #21)\n - 1.4.2 - 2017-07-19: No feature or bug fixes, just license clarification (#20)\n - 1.4.1 - 2017-05-20: No feature or bug fixes, just test distribution (#17)\n - 1.4.0 - 2016-09-03: Support multiple functions with the same name, tick unit from millis to nanos, tests added (#15)\n - 1.3.2 - 2014-07-05: Bugfix: correct source file paths (#12)\n - 1.3.1 - 2013-11-27: Bugfix for broken output writing on Python 3 (#8)\n - 1.3.0 - 2013-11-19: qcachegrind support\n - 1.2.0 - 2013-11-09: Python 3 support\n - 1.1.1 - 2013-09-25: Miscellaneous bugfixes\n - 1.1.0 - 2008-12-21: integrate fix in conversion by David Glick\n - 1.0.3 - 2008-10-16: fix typos in 1.0 release\n - 1.0 - 2008-10-16: initial release under the pyprof2calltree name\n",
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        "keywords": "profiler visualization programming tool kde kcachegrind qcachegrind",
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