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        "author": "Vladim\u00edr Gorej",
        "author_email": "gorej@codescale.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Bug Tracking",
            "Topic :: Software Development :: Debuggers",
            "Topic :: Utilities"
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        "description": "django-profiler\n===============\n\ndjango-profiler is util for profiling python code mainly in django projects\nbut can be used also on ordinary python code. It counts sql queries a measures\ntime of code execution. It logs its output via standard\npython logging library and uses logger `profiling`. If your profiler name\ndoesn't contain any empty spaces e.g. Profiler('Profiler1') django-profiler will\nlog all the output to the `profiling.Profiler` logger.\n\n\nRequirements\n------------\n\n- python 2.7+\n\n\nInstallation\n------------\n\nInstall via *pip* or copy this module into your project or into your PYTHON_PATH.\n\n\nConfiguration\n-------------\n\n**django settings.py constants**\n\n::\n\n PROFILING_LOGGER_NAME\n PROFILING_SQL_QUERIES\n\nIt is possible to change default django-profiler logger name by defining\nPROFILING_LOGGER_NAME = 'logger_name' in your django *settings.py*.\n\nTo log also sql queries into profiler logger set PROFILING_SQL_QUERIES to True\nin your django *settings.py* module.\n\n\nExamples\n--------\n\n**Example 1**\n\nUsing context manager approach. Output will be logged to *profiling* logger.\n\n::\n\n from profiling import Profiler\n with Profiler('Complex Computation'):\n     # code with some complex computations\n\n**Example 2**\n\nUsing context manager approach. Output will be logged to *profiling.Computation* logger.\n\n::\n\n from profiling import Profiler\n with Profiler('Computation'):\n     # code with some complex computations\n\n**Example 3**\n\nUsing standard approach. Output will be logged to *profiling* logger.\n\n::\n\n from profiling import Profiler\n profiler =  Profiler('Complex Computation')\n profiler.start()\n # code with some complex computations\n profiler.stop()\n\n**Example 4**\n\nUsing standard approach and starting directly in constructor. Output will be logged to *profiling* logger.\n\n::\n\n from profiling import Profiler\n profiler =  Profiler('Complex Computation', start=True)\n # code with some complex computations\n profiler.stop()\n\n**Example 5**\n\nUsing decorator approach. Output will be logged to *profiling.complex_computations* logger.\n\n::\n\n from profiling import profile\n\n @profile\n def complex_computations():\n     #some complex computations\n\n**Example 6**\n\nUsing decorator approach. Output will be logged to *profiling.ComplexClass.complex_computations* logger.\n\n::\n\n from profiling import profile\n\n class ComplexClass(object):\n     @profile\n     def complex_computations():\n         #some complex computations\n\n**Example 7**\n\nUsing decorator approach. Output will be logged to *profiling.complex_computations* logger.\n`profile` execution stats are logged to *profiling.complex_computations* logger.\n\n::\n\n from profiling import profile\n\n @profile(stats=True)\n def complex_computations():\n     #some complex computations\n\n**Example 8**\n\nUsing decorator approach. Output will be logged to *profiling.complex_computations* logger.\n`profile` execution stats are printed to sys.stdout.\n\n::\n\n import sys\n\n from profiling import profile\n\n @profile(stats=True, stats_buffer=sys.stdout)\n def complex_computations():\n     #some complex computations\n\n\n**Example 9**\n\nUsing decorator approach. Output will be logged to *profiling.ComplexClass.complex_computations* logger.\n`profile` stats will be logged to *profiling.ComplexClass.complex_computations*.\n\n::\n\n from profiling import profile\n\n class ComplexClass(object)\n    @profile(stats=True)\n    def complex_computations():\n        #some complex computations\n\n\nTests\n-----\n\n**Tested on evnironment**\n\n- Xubuntu Linux 11.10 oneiric 64-bit\n- python 2.7.2+\n- python unittest\n\n**Running tests**\n\nTo run the test run command: ::\n\n $ python test.py\n $ python setup.py test\n\n\nAuthor\n------\n\n| char0n (Vladim\u00edr Gorej, CodeScale s.r.o.)\n| email: gorej@codescale.net\n| web: http://www.codescale.net\n\n\nReferences\n----------\n\n- http://github.com/CodeScaleInc/django-profiler\n- http://pypi.python.org/pypi/django-profiler/\n- http://www.codescale.net/en/community#django-profiler",
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        "keywords": "django profiler profiling code profile",
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