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        "author_email": "jlabejof@yahoo.fr",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: French",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development",
            "Topic :: Utilities"
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Free and unlimited access: no limits to sharing of ideas and knowledges with the license MIT.\n\n2. Performance:\n\n   - less memory consumption in using the __slots__ class property.\n   - less time on (un-)weaving and advice application improvement with binary python encoding and in using constants var in code.\n   - (dis/en)abling advices without remove them in using dedicated Advice class.\n\n3. Easy to use:\n\n   - joinpoint matching with function or regex.\n   - distributed programming:\n\n      + interception context sharing in order to ease behaviour sharing between advices.\n      + uuid for advice identification in order to ease its use in a distributed context.\n\n   - maintenable with well named variables and functions, comments and few lines.\n   - extensible through pythonic code (PEP8), same logic to function code interception and concern modularisation with one module by joinpoint or advice.\n   - respect of aspects vocabulary in order to ease its use among AOP users.\n   - close to callable python objects in weaving all types of callable elements such as (built-in) functions, (built-in) class, (built-in) methods, callable objects, etc.\n   - advices are callable objects.\n   - Unit tests for all functions such as examples.\n\n4. Benchmark:\n\n   - speed execution\n\nLimitations\n-----------\n\n- Do not weave advices on readonly instance methods (where class use __slots__ attribute).\n\nExamples\n--------\n\nHow to change the behaviour of min by max ?\n\n>>> from b3j0f.aop import weave, is_intercepted\n>>> double_advice = lambda joinpoint: joinpoint.proceed() * 2\n>>> weave(target=min, advices=double_advice)\n>>> min(6, 7)\n12\n\nHow to check if a function is intercepted ?\n\n>>> from b3j0f.aop import is_intercepted\n>>> is_intercepted(min)\nTrue\n\nOk, let's get back its previous behaviour ...\n\n>>> from b3j0f.aop import unweave\n>>> unweave(min)\n>>> min(6, 7)\n6\n>>> is_intercepted(min)\nFalse\n\nAnd with an annotation ?\n\n>>> from b3j0f.aop import weave_on\n>>> weave_on(advices=double_advice)(min)\n>>> min(6, 7)\n12\n>>> is_intercepted(min)\nTrue\n>>> unweave(min)  # do not forget to unweave if weaving is useless ;)\n\nEnjoy ...\n\nState of the art\n----------------\n\nRelated to improving criteria points (1. Free and unlimited access, etc.), a state of the art is provided here.\n\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| Library    | Url                          | License  | Execution | Use | Benchmark     | Compatibility |\n+============+==============================+==========+===========+=====+===============+===============+\n| b3j0f.aop  | https://github.com/b3j0f/aop | MIT      | 4/5       | 4/5 | 4/5           | 4/5 (>=2.6)   |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| pyaspects  | http://tinyurl.com/n7ccof5   | GPL 2    | 4/5       | 2/5 | 2/5           | 2/5           |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| aspects    | http://tinyurl.com/obp8t2v   | LGPL 2.1 | 2/5       | 2/5 | 2/5           | 2/5           |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| aspect     | http://tinyurl.com/lpd87bd   | BSD      | 2/5       | 1/5 | 1/5           | 1/5           |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| spring     | http://tinyurl.com/dmkpj3    | Apache   | 4/5       | 2/5 | 3/5           | 2/5           |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n| pytilities | http://tinyurl.com/q49ulr5   | GPL 3    | 1/5       | 1/5 | 1/5           | 1/5           |\n+------------+------------------------------+----------+-----------+-----+---------------+---------------+\n\npyaspects\n#########\n\nweaknesses\n>>>>>>>>>>\n\n- Not functional approach: Aspect class definition.\n- Side effects: Not close to python API.\n- Not optimized Weaving and Time execution: use classes and generic methods.\n- Not maintenable: poor comments.\n- open-source and use limitations: GPL 2.\n- limited in weave filtering.\n\naspects\n#######\n\nweaknesses\n>>>>>>>>>>\n\n- open-source and use limitations: LGPL 2.1.\n- more difficulties to understand code with no respect of the AOP vocabulary, packaged into one module.\n- limited in weave filtering.\n\naspect\n######\n\nstrengths\n>>>>>>>>>\n\n+ invert the AOP in decorating advices with joinpoint instead of weaving advices on joinpoint.\n+ open-source and no use limitations: BSD.\n\nweaknesses\n>>>>>>>>>>\n\n- Simple and functional approach with use of python tools.\n- maintenable: commented in respect of the PEP8.\n- limited in weave filtering.\n\nspring\n######\n\nstrengths\n>>>>>>>>>\n\n- a very powerful library dedicated to develop strong systems based on component based software engineering.\n- unittests.\n- huge community.\n\nweaknesses\n>>>>>>>>>>\n\n- require to understand a lot of concepts and install an heavy library before doing a simple interception with AOP concerns.\n\npytilities\n##########\n\nstrenghts\n>>>>>>>>>\n\n+ Very complex and full library for doing aspects and other things.\n\nweaknesses\n>>>>>>>>>>\n\n- open-source and use limitations: GPL 3.\n- not maintenable: missing documentations and not respect of the PEP8.\n- Executon time is not optimized with several classes used with generic getters without using __slots__. 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