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        "author_email": "wildwilhelm@gmail.com",
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            "Development Status :: 3 - Alpha",
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            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Scientific/Engineering",
            "Topic :: Text Processing :: Linguistic"
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        "description": "=================================\n tgrep2 Searching for NLTK Trees\n=================================\n\nTGrep search implementation for NTLK trees.\n\nCopyright (c) 16 March, 2013 Will Roberts <wildwilhelm@gmail.com>.\n\nLicensed under the MIT License (see source file tgrep.py for details).\n\nThis module supports TGrep2 syntax for matching parts of NLTK Trees.\nNote that many tgrep operators implemented here require the tree\npassed to be a ``ParentedTree``.\n\nTgrep tutorial:\nhttp://www.stanford.edu/dept/linguistics/corpora/cas-tut-tgrep.html\n\nTgrep2 manual:\nhttp://tedlab.mit.edu/~dr/Tgrep2/tgrep2.pdf\n\nTgrep2 source:\nhttp://tedlab.mit.edu/~dr/Tgrep2/\n\n.. image:: https://travis-ci.org/wroberts/nltk_tgrep.svg?branch=master\n    :target: https://travis-ci.org/wroberts/nltk_tgrep\n    :alt: Travis CI build status\n\n.. image:: https://coveralls.io/repos/wroberts/nltk_tgrep/badge.svg?branch=master\n  :target: https://coveralls.io/r/wroberts/nltk_tgrep?branch=master\n     :alt: Test code coverage\n\n.. image:: https://pypip.in/version/nltk_tgrep/badge.png\n    :target: https://pypi.python.org/pypi/nltk_tgrep/\n    :alt: Latest Version\n\nRequirements:\n-------------\n\n- Python 2.6 or better, or Python 3.2 or better\n- future_ (for Python 2)\n- NLTK, version 3.0.0 or better\n- pyparsing\n\n::\n\n    $ sudo pip install nltk_tgrep\n\n.. _future:     http://python-future.org\n\nUsage:\n------\n\n::\n\n    >>> from nltk.tree import ParentedTree\n    >>> import nltk_tgrep\n    >>> tree = ParentedTree.fromstring('(S (NP (DT the) (JJ big) (NN dog)) (VP bit) (NP (DT a) (NN cat)))')\n    >>> nltk_tgrep.tgrep_nodes(tree, 'NN')\n    [ParentedTree('NN', ['dog']), ParentedTree('NN', ['cat'])]\n    >>> nltk_tgrep.tgrep_positions(tree, 'NN')\n    [(0, 2), (2, 1)]\n    >>> nltk_tgrep.tgrep_nodes(tree, 'DT')\n    [ParentedTree('DT', ['the']), ParentedTree('DT', ['a'])]\n    >>> nltk_tgrep.tgrep_nodes(tree, 'DT $ JJ')\n    [ParentedTree('DT', ['the'])]\n\nThis implementation adds syntax to select nodes based on their NLTK\ntree position.  This syntax is ``N`` plus a Python tuple representing\nthe tree position.  For instance, ``N()``, ``N(0,)``, ``N(0,0)`` are\nvalid node selectors.  Example::\n\n    >>> tree = ParentedTree.fromstring('(S (NP (DT the) (JJ big) (NN dog)) (VP bit) (NP (DT a) (NN cat)))')\n    >>> tree[0,0]\n    ParentedTree('DT', ['the'])\n    >>> tree[0,0].treeposition()\n    (0, 0)\n    >>> nltk_tgrep.tgrep_nodes(tree, 'N(0,0)')\n    [ParentedTree('DT', ['the'])]\n\nCaveats:\n--------\n\n- Link modifiers: \"?\" and \"=\" are not implemented.\n- Tgrep compatibility: Using \"@\" for \"!\", \"{\" for \"<\", \"}\" for \">\" are\n  not implemented.\n- The \"=\" and \"~\" links are not implemented.\n\nKnown Issues:\n-------------\n\n- There are some issues with link relations involving leaf nodes\n  (which are represented as bare strings in NLTK trees).  For\n  instance, consider the tree::\n\n      (S (A x))\n\n  The search string ``* !>> S`` should select all nodes which are not\n  dominated in some way by an ``S`` node (i.e., all nodes which are\n  not descendants of an ``S``).  Clearly, in this tree, the only node\n  which fulfills this criterion is the top node (since it is not\n  dominated by anything).  However, the code here will find both the\n  top node and the leaf node ``x``.  This is because we cannot recover\n  the parent of the leaf, since it is stored as a bare string.\n\n  A possible workaround, when performing this kind of search, would be\n  to filter out all leaf nodes.",
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