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        "description": "Chainz\n======\n\nChainz is a lightweight library to provide chaining, functional methods\nto iterables.\n\nTo install: ``pip install chainz``\n\nBasic example:\n\n.. code:: python\n\n    from chainz import Chain\n\n    Chain(xrange(10))\\\n        .map(lambda x: x + 1)\\\n        .filter(lambda x: x % 2 == 0)\\\n        .omit(lambda x: x % 3 == 0)\\\n        .reduce(lambda x, y: x + y)\n    # 30\n\nChain\n-----\n\nThe fundamental class in ``chainz`` is ``Chain``, which accepts an\niterable as an argument to its constructor. It is itself an iterable,\njust exposing the supplied iterable. It exposes functional methods like\n``map``, ``filter``, and ``flatten``, which return the chain so as to be\nchainable. These methods alter the chain; ``chain.map(f)`` is the same\nas ``chain = chain.map(f)``.\n\nSome methods, such as ``reduce`` and ``for_each``, are \"sinks\", in that\nthey consume the iterable. These methods do not return the chain, to\nmake it clear that once they are called, the chain is done.\n\nAll non-sink methods are lazy, so they don't result in any evaluation.\nOnly by using a sink method, or consuming the iterable in another way\n(such as ``list(chain)`` or ``[x for x in chain]``), do you actually\nevaluate the iterable.\n\nYou can think of ``Chain`` as a way to wrap ``itertools`` in a more\nchainable fashion.\n\nErrors\n------\n\nBy default, a ``Chain`` will stop whenever there's an exception. Often\nthat is not what you want. When you are processing a long list of items\n(something for which ``Chain`` was specifically created for), you just\nwant to note what went wrong, and move on to the next item. The method\n``on_error`` allows just that. It takes a function\n``f(exception, object)`` which itself takes two parameter. The first\nparameter is the raised exception. The second parameter is the object\nthat caused the exception.\n\nExample\n~~~~~~~\n\n.. code:: python\n\n    def handle_error(exception, obj):\n      print(\"%s caused exception: %s\" % (obj, exception))\n\n    def double(x):\n      if x == 1:\n        raise Exception('Bad')\n      return x*2\n\n    chain = Chain(xrange(3)).on_error(handle_error).map(double)\n    list(chain)\n    # \"1 caused exception: Exception('Bad')\"\n    # [0, 2]\n\nAPI\n---\n\nPlease see the ``docs/`` directory for auto-generated (and thus\nup-to-date) documentation. This is generated from the doc strings, so\nintrospection can also be helpful (eg, ``print Chain.reduce.__doc__``).",
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