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        "description": "Python Order Maintenance\n========================\n\nA data structure to `impose a total order <https://en.wikipedia.org/wiki/Order-maintenance_problem>`_ on a collection of objects.\n\nDependencies\n------------\n\n``ordering`` requires Python 3.6+.\nIf the type hints were removed, it would probably work in earlier versions, as well.\n\nUsage\n-----\n\nAn ordering is represented by an Ordering object.\nThe order may be different to the usual order between objects, or even between objects that are not normally comparable.\n\n.. code:: python\n\n    >>> from ordering import Ordering\n    >>> order = Ordering([2, 0, 1])\n\nWe can then compare the objects in our ordering, to check if the first object comes before the second in the order.\n\n.. code:: python\n\n    >>> order.compare(0, 1) # 1 after 0\n    True\n    >>> order.compare(0, 2) # 2 before 0\n    False\n\nOur ordering is mutable, and we can add elements on either end, or immediately before or after an existing element.\n\n.. code:: python\n\n    >>> order.insert_end(3) # Add 3 on the end\n    >>> order.compare(1, 3) # 3 after 1\n    True\n\n    >>> order.insert_after(0, 4) # Insert 4 immediately after 0\n    >>> order.compare(0, 4) # 4 after 0\n    True\n    >>> order.compare(1, 4) # 4 before 1\n    False\n\nOrderings are iterable, yielding their items in order.\n\n.. code:: python\n\n    >>> list(order)\n    [2, 0, 4, 1, 3]\n\nAnd can be used as a key in sorting functions, to sort with respect to that order.\n\n.. code:: python\n\n    >>> sorted(range(3), key=order)\n    [2, 0, 1]\n\n\n",
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