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Add section headers and examples.
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@ -10,9 +10,11 @@
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This module implements high-performance container datatypes. Currently,
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there are two datatypes, deque and defaultdict.
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Future additions may include B-trees and Fibonacci heaps.
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Future additions may include balanced trees and ordered dictionaries.
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\versionchanged[Added defaultdict]{2.5}
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\subsection{\class{deque} objects \label{deque-objects}}
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\begin{funcdesc}{deque}{\optional{iterable}}
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Returns a new deque objected initialized left-to-right (using
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\method{append()}) with data from \var{iterable}. If \var{iterable}
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@ -137,7 +139,7 @@ IndexError: pop from an empty deque
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deque(['c', 'b', 'a'])
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\end{verbatim}
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\subsection{Recipes \label{deque-recipes}}
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\subsubsection{Recipes \label{deque-recipes}}
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This section shows various approaches to working with deques.
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@ -215,6 +217,8 @@ def maketree(iterable):
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\subsection{\class{defaultdict} objects \label{defaultdict-objects}}
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\begin{funcdesc}{defaultdict}{\optional{default_factory\optional{, ...}}}
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Returns a new dictionary-like object. \class{defaultdict} is a subclass
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of the builtin \class{dict} class. It overrides one method and adds one
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@ -255,3 +259,79 @@ the standard \class{dict} operations:
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from the first argument to the constructor, if present, or to \code{None},
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if absent.
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\end{datadesc}
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\subsubsection{\class{defaultdict} Examples \label{defaultdict-examples}}
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Using \class{list} as the \member{default_factory}, it is easy to group
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a sequence of key-value pairs into a dictionary of lists:
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\begin{verbatim}
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>>> s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
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>>> d = defaultdict(list)
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>>> for k, v in s:
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d[k].append(v)
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>>> d.items()
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[('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])]
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\end{verbatim}
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When each key is encountered for the first time, it is not already in the
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mapping; so an entry is automatically created using the
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\member{default_factory} function which returns an empty \class{list}. The
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\method{list.append()} operation then attaches the value the new list. When
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keys are encountered again, the look-up proceeds normally (returning the list
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for that key) and the \method{list.append()} operation adds another value to
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the list. This technique is simpler and faster than an equivalent technique
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using \method{dict.setdefault()}:
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\begin{verbatim}
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>>> d = {}
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>>> for k, v in s:
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d.setdefault(k, []).append(v)
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>>> d.items()
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[('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])]
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\end{verbatim}
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Setting the \member{default_factory} to \class{int} makes the
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\class{defaultdict} useful for counting (like a bag or multiset in other
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languages):
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\begin{verbatim}
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>>> s = 'mississippi'
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>>> d = defaultdict(int)
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>>> for k in s:
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d[k] += 1
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>>> d.items()
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[('i', 4), ('p', 2), ('s', 4), ('m', 1)]
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\end{verbatim}
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When a letter in first encountered, it is missing from the mapping, so the
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\member{default_factory} function calls \function{int()} to supply a default
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count of zero. The increment operation then builds of the count for each
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letter. This technique makes counting simpler and faster than an equivalent
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technique using \method{dict.get()}:
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\begin{verbatim}
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>>> d = {}
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>>> for k in s:
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d[k] = d.get(k, 0) + 1
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>>> d.items()
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[('i', 4), ('p', 2), ('s', 4), ('m', 1)]
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\end{verbatim}
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Setting the \member{default_factory} to \class{set} makes the
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\class{defaultdict} useful for building a dictionary of sets:
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\begin{verbatim}
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>>> s = [('red', 1), ('blue', 2), ('red', 3), ('blue', 4), ('red', 1), ('blue', 4)]
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>>> d = defaultdict(set)
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>>> for k, v in s:
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d[k].add(v)
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>>> d.items()
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[('blue', set([2, 4])), ('red', set([1, 3]))]
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\end{verbatim}
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