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        "description": "speedparser\n-----------\n\nSpeedparser is a black-box \"style\" reimplementation of the `Universal Feed\nParser <http://code.google.com/p/feedparser/>`_.  It uses some feedparser code\nfor date and authors, but mostly re-implements its data normalization algorithms\nbased on feedparser output.  It uses ``lxml`` for feed parsing and for optional\nHTML cleaning.  Its compatibility with ``feedparser`` is very good for a strict\nsubset of fields, but poor for fields outside that subset.  See\n``tests/speedparsertests.py`` for more information on which fields are more or\nless compatible and which are not.\n\nOn an Intel(R) Core(TM) i5 750, running only on one core, ``feedparser`` managed\n``2.5 feeds/sec`` on the test feed set (roughly 4200 \"feeds\" in \n``tests/feeds.tar.bz2``), while ``speedparser`` manages around ``65 feeds/sec``\nwith HTML cleaning on and ``200 feeds/sec`` with cleaning off.\n\ninstalling\n----------\n\n``pip install speedparser``\n\nusage\n-----\n\nUsage is similar to feedparser::\n\n    >>> import speedparser\n    >>> result = speedparser.parse(feed)\n    >>> result = speedparser.parse(feed, clean_html=False)\n\ndifferences\n-----------\n\nThere are a few interface differences and many result differences between\nspeedparser and feedparser.  The biggest similarity is that they both return\na ``FeedParserDict()`` object (with keys accessible as attributes), they both\nset the ``bozo`` key when an error is encountered, and various aspects of the\n``feed`` and ``entries`` keys are likely to be identical *or* very similar.\n\n``speedparser`` uses different (and in some cases less or none; buyer beware)\ndata cleaning algorithms than ``feedparser``.  When it is enabled, lxml's\n``html.cleaner`` library will be used to clean HTML and give similar but not\nidentical protection against various attributes and elements.  If you supply\nyour own ``Cleaner`` element to the \"``clean_html`` kwarg, it will be used\nby ``speedparser`` to clean the various attributes of the feed and entries.\n\n``speedparser`` does not attempt to fix character encoding by default because\nthis processing can take a long time for large feeds.  If the encoding value of\nthe feed is wrong, or if you want this extra level of error tollerance, you\ncan either use the ``chardet`` module to detect the encoding based on the\ndocument or pass ``encoding=True`` to ``speedparser.parse`` and it will fall\nback to encoding detection if it encounters encoding errors.\n\nIf your application is using ``feedparser`` to consume many feeds at once and\nCPU is becoming a bottleneck, you might want to try out ``speedparser`` as an\nalternative (using ``feedparser`` as a backup).  If you are writing an\napplication that does not ingest many feeds, or where CPU is not a problem,\nyou should use ``feedparser`` as it is flexible with bad or malformed data and\nhas a much better test suite.",
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