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        "author": "Rocky Bernstein, Hartmut Goebel, John Aycock, and others",
        "author_email": "rb@dustyfeet.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.4",
            "Programming Language :: Python :: 2.5",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "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 :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Topic :: Software Development :: Debuggers",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "|buildstatus|  |Pypi Installs| |Latest Version| |Supported Python Versions|\n\n|packagestatus|\n\nuncompyle6\n==========\n\nA native Python cross-version decompiler and fragment decompiler.\nThe successor to decompyle, uncompyle, and uncompyle2.\n\n\nIntroduction\n------------\n\n*uncompyle6* translates Python bytecode back into equivalent Python\nsource code. It accepts bytecodes from Python version 1.0 to version\n3.8, spanning over 24 years of Python releases. We include Dropbox's\nPython 2.5 bytecode and some PyPy bytecode.\n\nWhy this?\n---------\n\nOk, I'll say it: this software is amazing. It is more than your\nnormal hacky decompiler. Using compiler_ technology, the program\ncreates a parse tree of the program from the instructions; nodes at\nthe upper levels that look a little like what might come from a Python\nAST. So we can really classify and understand what's going on in\nsections of Python bytecode.\n\nBuilding on this, another thing that makes this different from other\nCPython bytecode decompilers is the ability to deparse just\n*fragments* of source code and give source-code information around a\ngiven bytecode offset.\n\nI use the tree fragments to deparse fragments of code *at run time*\ninside my trepan_ debuggers_. For that, bytecode offsets are recorded\nand associated with fragments of the source code. This purpose,\nalthough compatible with the original intention, is yet a little bit\ndifferent.  See this_ for more information.\n\nPython fragment deparsing given an instruction offset is useful in\nshowing stack traces and can be encorporated into any program that\nwants to show a location in more detail than just a line number at\nruntime.  This code can be also used when source-code information does\nnot exist and there is just bytecode. Again, my debuggers make use of\nthis.\n\nThere were (and still are) a number of decompyle, uncompyle,\nuncompyle2, uncompyle3 forks around. Almost all of them come basically\nfrom the same code base, and (almost?) all of them are no longer\nactively maintained. One was really good at decompiling Python 1.5-2.3\nor so, another really good at Python 2.7, but that only. Another\nhandles Python 3.2 only; another patched that and handled only 3.3.\nYou get the idea. This code pulls all of these forks together and\n*moves forward*. There is some serious refactoring and cleanup in this\ncode base over those old forks.\n\nThis demonstrably does the best in decompiling Python across all\nPython versions. And even when there is another project that only\nprovides decompilation for subset of Python versions, we generally do\ndemonstrably better for those as well.\n\nHow can we tell? By taking Python bytecode that comes distributed with\nthat version of Python and decompiling these.  Among those that\nsuccessfully decompile, we can then make sure the resulting programs\nare syntactically correct by running the Python interpreter for that\nbytecode version.  Finally, in cases where the program has a test for\nitself, we can run the check on the decompiled code.\n\nWe are serious about testing, and use automated processes to find\nbugs. In the issue trackers for other decompilers, you will find a\nnumber of bugs we've found along the way. Very few to none of them are\nfixed in the other decompilers.\n\nRequirements\n------------\n\nThe code here can be run on Python versions 2.6 or later, PyPy 3-2.4,\nor PyPy-5.0.1.  Python versions 2.4-2.7 are supported in the\npython-2.4 branch.  The bytecode files it can read have been tested on\nPython bytecodes from versions 1.4, 2.1-2.7, and 3.0-3.8 and the\nabove-mentioned PyPy versions.\n\nInstallation\n------------\n\nThis uses setup.py, so it follows the standard Python routine:\n\n::\n\n    $ pip install -e .  # set up to run from source tree\n                        # Or if you want to install instead\n    $ python setup.py install # may need sudo\n\nA GNU makefile is also provided so :code:`make install` (possibly as root or\nsudo) will do the steps above.\n\nRunning Tests\n-------------\n\n::\n\n   make check\n\nA GNU makefile has been added to smooth over setting running the right\ncommand, and running tests from fastest to slowest.\n\nIf you have remake_ installed, you can see the list of all tasks\nincluding tests via :code:`remake --tasks`\n\n\nUsage\n-----\n\nRun\n\n::\n\n$ uncompyle6 *compiled-python-file-pyc-or-pyo*\n\nFor usage help:\n\n::\n\n   $ uncompyle6 -h\n\nVerification\n------------\n\nIn older versions of Python it was possible to verify bytecode by\ndecompiling bytecode, and then compiling using the Python interpreter\nfor that bytecode version. Having done this the bytecode produced\ncould be compared with the original bytecode. However as Python's code\ngeneration got better, this no longer was feasible.\n\nIf you want Python syntax verification of the correctness of the\ndecompilation process, add the :code:`--syntax-verify` option. However since\nPython syntax changes, you should use this option if the bytecode is\nthe right bytecode for the Python interpreter that will be checking\nthe syntax.\n\nYou can also cross compare the results with another python decompiler\nlike pycdc_ . Since they work differently, bugs here often aren't in\nthat, and vice versa.\n\nThere is an interesting class of these programs that is readily\navailable give stronger verification: those programs that when run\ntest themselves. Our test suite includes these.\n\nAnd Python comes with another a set of programs like this: its test\nsuite for the standard library. We have some code in :code:`test/stdlib` to\nfacilitate this kind of checking too.\n\nKnown Bugs/Restrictions\n-----------------------\n\nThe biggest known and possibly fixable (but hard) problem has to do\nwith handling control flow. (Python has probably the most diverse and\nscrewy set of compound statements I've ever seen; there\nare \"else\" clauses on loops and try blocks that I suspect many\nprogrammers don't know about.)\n\nAll of the Python decompilers that I have looked at have problems\ndecompiling Python's control flow. In some cases we can detect an\nerroneous decompilation and report that.\n\nPython support is strongest in Python 2 for 2.7 and drops off as you\nget further away from that. Support is also probably pretty good for\npython 2.3-2.4 since a lot of the goodness of early the version of the\ndecompiler from that era has been preserved (and Python compilation in\nthat era was minimal)\n\nThere is some work to do on the lower end Python versions which is\nmore difficult for us to handle since we don't have a Python\ninterpreter for versions 1.6, and 2.0.\n\nIn the Python 3 series, Python support is is strongest around 3.4 or\n3.3 and drops off as you move further away from those versions. Python\n3.0 is weird in that it in some ways resembles 2.6 more than it does\n3.1 or 2.7. Python 3.6 changes things drastically by using word codes\nrather than byte codes. As a result, the jump offset field in a jump\ninstruction argument has been reduced. This makes the :code:`EXTENDED_ARG`\ninstructions are now more prevalent in jump instruction; previously\nthey had been rare.  Perhaps to compensate for the additional\n:code:`EXTENDED_ARG` instructions, additional jump optimization has been\nadded. So in sum handling control flow by ad hoc means as is currently\ndone is worse.\n\nBetween Python 3.5, 3.6 and 3.7 there have been major changes to the\n:code:`MAKE_FUNCTION` and :code:`CALL_FUNCTION` instructions.\n\nCurrently not all Python magic numbers are supported. Specifically in\nsome versions of Python, notably Python 3.6, the magic number has\nchanges several times within a version.\n\n**We support only released versions, not candidate versions.** Note however\nthat the magic of a released version is usually the same as the *last* candidate version prior to release.\n\nThere are also customized Python interpreters, notably Dropbox,\nwhich use their own magic and encrypt bytcode. With the exception of\nthe Dropbox's old Python 2.5 interpreter this kind of thing is not\nhandled.\n\nWe also don't handle PJOrion_ obfuscated code. For that try: PJOrion\nDeobfuscator_ to unscramble the bytecode to get valid bytecode before\ntrying this tool. This program can't decompile Microsoft Windows EXE\nfiles created by Py2EXE_, although we can probably decompile the code\nafter you extract the bytecode properly. For situations like this, you\nmight want to consider a decompilation service like `Crazy Compilers\n<http://www.crazy-compilers.com/decompyle/>`_.  Handling\npathologically long lists of expressions or statements is slow.\n\n\nThere is lots to do, so please dig in and help.\n\nSee Also\n--------\n\n* https://github.com/zrax/pycdc : purports to support all versions of Python. It is written in C++ and is most accurate for Python versions around 2.7 and 3.3 when the code was more actively developed. Accuracy for more recent versions of Python 3 and early versions of Python are especially lacking. See its `issue tracker <https://github.com/zrax/pycdc/issues>`_ for details. Currently lightly maintained.\n* https://code.google.com/archive/p/unpyc3/ : supports Python 3.2 only. The above projects use a different decompiling technique than what is used here. Currently unmaintained.\n* https://github.com/figment/unpyc3/ : fork of above, but supports Python 3.3 only. Includes some fixes like supporting function annotations. Currently unmaintained.\n* https://github.com/wibiti/uncompyle2 : supports Python 2.7 only, but does that fairly well. There are situations where :code:`uncompyle6` results are incorrect while :code:`uncompyle2` results are not, but more often uncompyle6 is correct when uncompyle2 is not. Because :code:`uncompyle6` adheres to accuracy over idiomatic Python, :code:`uncompyle2` can produce more natural-looking code when it is correct. Currently :code:`uncompyle2` is lightly maintained. 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