{ "info": { "author": "Mikhail Korobov", "author_email": "kmike84@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Cython", "Programming Language :: Python", "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", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Text Processing :: Linguistic" ], "description": "DAWG\n====\n\n.. image:: https://travis-ci.org/kmike/DAWG.png?branch=master\n :target: https://travis-ci.org/kmike/DAWG\n\nThis package provides DAWG(DAFSA_)-based dictionary-like\nread-only objects for Python (2.x and 3.x).\n\nString data in a DAWG may take 200x less memory than in\na standard Python dict and the raw lookup speed is comparable;\nit also provides fast advanced methods like prefix search.\n\n.. _DAFSA: https://en.wikipedia.org/wiki/Deterministic_acyclic_finite_state_automaton\n\n* Docs: http://dawg.readthedocs.org\n* Source code: https://github.com/kmike/DAWG\n* Issue tracker: https://github.com/kmike/DAWG/issues\n\nLicense\n=======\n\nWrapper code is licensed under MIT License.\nBundled `dawgdic`_ C++ library is licensed under BSD license.\nBundled libb64_ is Public Domain.\n\n.. _dawgdic: https://code.google.com/p/dawgdic/\n.. _libb64: http://libb64.sourceforge.net/\n\n\n\nChanges\n=======\n\n0.7.8 (2015-04-18)\n------------------\n\n* extra type annotations are added to make the code a bit faster;\n* mercurial mirror at bitbucket is dropped;\n* wrapper is rebuilt with Cython 0.22.\n\n0.7.7 (2014-11-19)\n------------------\n\n* ``DAWG.b_prefixes`` method for avoiding utf8 encoding/decoding\n (thanks Ikuya Yamada);\n* wrapper is rebuilt with Cython 0.21.1.\n\n0.7.6 (2014-08-10)\n------------------\n\n* Wrapper is rebuilt with Cython 0.20.2 to fix some issues.\n\n0.7.5 (2014-06-05)\n------------------\n\n* Switched to setuptools;\n* some wheels are uploaded to pypi.\n\n0.7.4 (2014-05-29)\n------------------\n\n* Fixed a bug in DAWG building: input should be sorted according to its\n binary representation.\n\n0.7.3 (2014-05-29)\n------------------\n\n* Wrapper is rebuilt with Cython 0.21dev;\n* Python 3.4 compatibility is verified.\n\n0.7.2 (2013-10-03)\n------------------\n\n* ``has_keys_with_prefix(prefix)`` method (thanks\n `Matt Hickford `_)\n\n0.7.1 (2013-05-25)\n------------------\n\n- Extension is rebuilt with Cython 0.19.1;\n- fixed segfault that happened on lookup from incorrectly loaded DAWG\n (thanks Alex Moiseenko).\n\n0.7 (2013-04-05)\n----------------\n\n- IntCompletionDAWG\n\n0.6.1 (2013-03-23)\n------------------\n\n- Installation issues in environments with LC_ALL=C are fixed;\n- PyPy is officially unsupported now (use DAWG-Python_ with PyPy).\n\n.. _DAWG-Python: https://github.com/kmike/DAWG-Python\n\n0.6 (2013-03-22)\n----------------\n\n- many thread-safety bugs are fixed (at the cost of slowing library down).\n\n0.5.5 (2013-02-19)\n------------------\n\n- fix installation under PyPy (note: DAWG is slow under PyPy\n and may have bugs).\n\n0.5.4 (2013-02-14)\n------------------\n\n- small tweaks for docstrings;\n- the extension is rebuilt using Cython 0.18.\n\n0.5.3 (2013-01-03)\n------------------\n\n- small improvements to ``.compile_replaces`` method;\n- benchmarks for ``.similar_items`` method;\n- the extension is rebuilt with Cython pre-0.18; this made\n ``.prefixes`` and ``.iterprefixes`` methods faster\n (up to 6x in some cases).\n\n0.5.2 (2013-01-02)\n------------------\n\n- tests are included in source distribution;\n- benchmark results in README was nonrepresentative because of my\n broken (slow) Python 3.2 install;\n- installation is fixed under Python 3.x with ``LC_ALL=C`` (thanks\n Jakub Wilk).\n\n0.5.1 (2012-10-11)\n------------------\n\n- better error reporting while building DAWGs;\n- ``__contains__`` is fixed for keys with zero bytes;\n- ``dawg.Error`` exception class;\n- building of ``BytesDAWG`` and ``RecordDAWG`` fails instead of\n producing incorrect results if some of the keys has unsupported characters.\n\n\n0.5 (2012-10-08)\n----------------\n\nThe storage scheme of ``BytesDAWG`` and ``RecordDAWG`` is changed in\nthis release in order to provide the alphabetical ordering of items.\n\nThis is a backwards-incompatible release. In order to read ``BytesDAWG`` or\n``RecordDAWG`` created with previous versions of DAWG use ``payload_separator``\nconstructor argument::\n\n >>> BytesDAWG(payload_separator=b'\\xff').load('old.dawg')\n\n\n0.4.1 (2012-10-01)\n------------------\n\n- Segfaults with empty DAWGs are fixed by updating dawgdic to latest svn.\n\n0.4 (2012-09-26)\n----------------\n\n- ``iterkeys``, ``iteritems`` and ``iterprefixes`` methods\n (thanks Dan Blanchard).\n\n0.3.2 (2012-09-24)\n------------------\n\n- ``prefixes`` method for finding all prefixes of a given key.\n\n0.3.1 (2012-09-20)\n------------------\n\n- bundled dawgdic C++ library is updated to the latest version.\n\n0.3 (2012-09-13)\n----------------\n\n- ``similar_keys``, ``similar_items`` and ``similar_item_values`` methods\n for more permissive lookups (they may be useful e.g. for umlaut handling);\n- ``load`` method returns self;\n- Python 3.3 support.\n\n0.2 (2012-09-08)\n----------------\n\nGreatly improved memory usage for DAWGs 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