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Revert r79179 and merge r75584 to explain how to implement a queue using collection.deque instead of a list.
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Doc/tutorial/datastructures.rst

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@@ -138,26 +138,25 @@ Using Lists as Queues
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.. sectionauthor:: Ka-Ping Yee <[email protected]>
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It is also possible to use a list as a queue, where the first element added is
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the first element retrieved ("first-in, first-out"); however, lists are not
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efficient for this purpose. While appends and pops from the end of list are
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fast, doing inserts or pops from the beginning of a list is slow (because all
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of the other elements have to be shifted by one).
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You can also use a list conveniently as a queue, where the first element added
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is the first element retrieved ("first-in, first-out"). To add an item to the
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back of the queue, use :meth:`append`. To retrieve an item from the front of
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the queue, use :meth:`pop` with ``0`` as the index. For example::
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To implement a queue, use :class:`collections.deque` which was designed to
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have fast appends and pops from both ends. For example::
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>>> queue = ["Eric", "John", "Michael"]
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>>> from collections import deque
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>>> queue = deque(["Eric", "John", "Michael"])
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>>> queue.append("Terry") # Terry arrives
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>>> queue.append("Graham") # Graham arrives
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>>> queue.pop(0)
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>>> queue.popleft() # The first to arrive now leaves
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'Eric'
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>>> queue.pop(0)
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>>> queue.popleft() # The second to arrive now leaves
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'John'
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>>> queue
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['Michael', 'Terry', 'Graham']
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However, since lists are implemented as an array of elements, they are not the
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optimal data structure to use as a queue (the ``pop(0)`` needs to move all
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following elements). See :ref:`tut-list-tools` for a look at
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:class:`collections.deque`, which is designed to work efficiently as a queue.
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>>> queue # Remaining queue in order of arrival
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deque(['Michael', 'Terry', 'Graham'])
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.. _tut-functional:

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