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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "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",
            "Topic :: Scientific/Engineering",
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        "description": "-----------------------------\ndill: serialize all of python\n-----------------------------\n\nAbout Dill\n==========\n\n``dill`` extends python's ``pickle`` module for serializing and de-serializing\npython objects to the majority of the built-in python types. Serialization\nis the process of converting an object to a byte stream, and the inverse\nof which is converting a byte stream back to on python object hierarchy.\n\n``dill`` provides the user the same interface as the ``pickle`` module, and\nalso includes some additional features. In addition to pickling python\nobjects, ``dill`` provides the ability to save the state of an interpreter\nsession in a single command.  Hence, it would be feasable to save a\ninterpreter session, close the interpreter, ship the pickled file to\nanother computer, open a new interpreter, unpickle the session and\nthus continue from the 'saved' state of the original interpreter\nsession.\n\n``dill`` can be used to store python objects to a file, but the primary\nusage is to send python objects across the network as a byte stream.\n``dill`` is quite flexible, and allows arbitrary user defined classes\nand functions to be serialized.  Thus ``dill`` is not intended to be\nsecure against erroneously or maliciously constructed data. It is\nleft to the user to decide whether the data they unpickle is from\na trustworthy source.\n\n``dill`` is part of ``pathos``, a python framework for heterogeneous computing.\n``dill`` is in active development, so any user feedback, bug reports, comments,\nor suggestions are highly appreciated.  A list of known issues is maintained\nat http://trac.mystic.cacr.caltech.edu/project/pathos/query.html, with a public\nticket list at https://github.com/uqfoundation/dill/issues.\n\n\nMajor Features\n==============\n\n``dill`` can pickle the following standard types:\n\n    - none, type, bool, int, long, float, complex, str, unicode,\n    - tuple, list, dict, file, buffer, builtin,\n    - both old and new style classes,\n    - instances of old and new style classes,\n    - set, frozenset, array, functions, exceptions\n\n``dill`` can also pickle more 'exotic' standard types:\n\n    - functions with yields, nested functions, lambdas,\n    - cell, method, unboundmethod, module, code, methodwrapper,\n    - dictproxy, methoddescriptor, getsetdescriptor, memberdescriptor,\n    - wrapperdescriptor, xrange, slice,\n    - notimplemented, ellipsis, quit\n\n``dill`` cannot yet pickle these standard types:\n\n    - frame, generator, traceback\n\n``dill`` also provides the capability to:\n\n    - save and load python interpreter sessions\n    - save and extract the source code from functions and classes\n    - interactively diagnose pickling errors\n\n\nCurrent Release\n===============\n\nThis documentation is for version ``dill-0.3.1.1``.\n\nThe latest released version of ``dill`` is available from:\n\n    https://pypi.org/project/dill\n\n``dill`` is distributed under a 3-clause BSD license.\n\n    >>> import dill\n    >>> print (dill.license())\n\n\nDevelopment Version \n===================\n\nYou can get the latest development version with all the shiny new features at:\n\n    https://github.com/uqfoundation\n\nIf you have a new contribution, please submit a pull request.\n\n\nInstallation\n============\n\n``dill`` is packaged to install from source, so you must\ndownload the tarball, unzip, and run the installer::\n\n    [download]\n    $ tar -xvzf dill-0.3.1.1.tar.gz\n    $ cd dill-0.3.1.1\n    $ python setup py build\n    $ python setup py install\n\nYou will be warned of any missing dependencies and/or settings\nafter you run the \"build\" step above. \n\nAlternately, ``dill`` can be installed with ``pip`` or ``easy_install``::\n\n    $ pip install dill\n\n\nRequirements\n============\n\n``dill`` requires:\n\n    - ``python``, **version >= 2.6** or **version >= 3.1**, or ``pypy``\n\nOptional requirements:\n\n    - ``setuptools``, **version >= 0.6**\n    - ``pyreadline``, **version >= 1.7.1** (on windows)\n    - ``objgraph``, **version >= 1.7.2**\n\n\nMore Information\n================\n\nProbably the best way to get started is to look at the documentation at\nhttp://dill.rtfd.io. Also see ``dill.tests`` for a set of scripts that\ndemonstrate how ``dill`` can serialize different python objects. You can\nrun the test suite with ``python -m dill.tests``. The contents of any\npickle file can be examined with ``undill``.  As ``dill`` conforms to\nthe ``pickle`` interface, the examples and documentation found at\nhttp://docs.python.org/library/pickle.html also apply to ``dill``\nif one will ``import dill as pickle``. The source code is also generally\nwell documented, so further questions may be resolved by inspecting the\ncode itself. Please feel free to submit a ticket on github, or ask a\nquestion on stackoverflow (**@Mike McKerns**).\nIf you would like to share how you use ``dill`` in your work, please send\nan email (to **mmckerns at uqfoundation dot org**).\n\n\nCitation\n========\n\nIf you use ``dill`` to do research that leads to publication, we ask that you\nacknowledge use of ``dill`` by citing the following in your publication::\n\n    M.M. McKerns, L. 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