Class SortedCollection
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object --+
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SortedCollection
Sequence sorted by a key function.
SortedCollection() is much easier to work with than using bisect()
directly. It supports key functions like those use in sorted(), min(),
and max(). The result of the key function call is saved so that keys can
be searched efficiently.
Instead of returning an insertion-point which can be hard to
interpret, the five find-methods return a specific item in the sequence.
They can scan for exact matches, the last item less-than-or-equal to a
key, or the first item greater-than-or-equal to a key.
Once found, an item's ordinal position can be located with the index()
method. New items can be added with the insert() and insert_right()
methods. Old items can be deleted with the remove() method.
The usual sequence methods are provided to support indexing, slicing,
length lookup, clearing, copying, forward and reverse iteration, contains
checking, item counts, item removal, and a nice looking repr.
Finding and indexing are O(log n) operations while iteration and
insertion are O(n). The initial sort is O(n log n).
The key function is stored in the 'key' attibute for easy
introspection or so that you can assign a new key function (triggering an
automatic re-sort).
In short, the class was designed to handle all of the common use cases
for bisect but with a simpler API and support for key functions.
>>> from pprint import pprint
>>> from operator import itemgetter
>>> s = SortedCollection(key=itemgetter(2))
>>> for record in [
... ('roger', 'young', 30),
... ('angela', 'jones', 28),
... ('bill', 'smith', 22),
... ('david', 'thomas', 32)]:
... s.insert(record)
>>> pprint(list(s))
[('bill', 'smith', 22),
('angela', 'jones', 28),
('roger', 'young', 30),
('david', 'thomas', 32)]
>>> s.find_le(29)
('angela', 'jones', 28)
>>> s.find_lt(28)
('bill', 'smith', 22)
>>> s.find_gt(28)
('roger', 'young', 30)
>>> r = s.find_ge(32)
>>> s.index(r)
3
>>> s[3]
('david', 'thomas', 32)
>>> s.key = itemgetter(0)
>>> pprint(list(s))
[('angela', 'jones', 28),
('bill', 'smith', 22),
('david', 'thomas', 32),
('roger', 'young', 30)]
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__init__(self,
iterable=( ) ,
key=None)
x.__init__(...) initializes x; see help(type(x)) for signature |
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count(self,
item)
Return number of occurrences of item |
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Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce_ex__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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key
key function
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Inherited from object :
__class__
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__init__(self,
iterable=( ) ,
key=None)
(Constructor)
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x.__init__(...) initializes x; see help(type(x)) for signature
- Overrides:
object.__init__
- (inherited documentation)
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repr(x)
- Overrides:
object.__repr__
- (inherited documentation)
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helper for pickle
- Overrides:
object.__reduce__
- (inherited documentation)
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Find the position of an item. Raise ValueError if not found.
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Find the position of last item with a key <= k. Raise ValueError
if not found.
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Find the position of last item with a key < k. Raise ValueError if
not found.
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Find the position of first item with a key >= equal to k. Raise
ValueError if not found
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Find the position of first item with a key > k. Raise ValueError
if not found
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Insert a new item. If equal keys are found, add to the left
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Insert a new item. If equal keys are found, add to the right
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Remove first occurence of item. Raise ValueError if not found
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Return first item with a key == k. Raise ValueError if not found.
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Return last item with a key <= k. Raise ValueError if not
found.
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Return last item with a key < k. Raise ValueError if not
found.
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Return first item with a key >= equal to k. Raise ValueError if
not found
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Return first item with a key > k. Raise ValueError if not
found
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