Class SortedCollection

tests/sortedcollection.py:10–227

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

from bisect import bisect_left, bisect_right

class SortedCollection(object):
    '''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))         # show records sorted by age
    [('bill', 'smith', 22),
     ('angela', 'jones', 28),
     ('roger', 'young', 30),
     ('david', 'thomas', 32)]

    >>> s.find_le(29)           # find oldest person aged 29 or younger
    ('angela', 'jones', 28)
    >>> s.find_lt(28)           # find oldest person under 28
    ('bill', 'smith', 22)
    >>> s.find_gt(28)           # find youngest person over 28
    ('roger', 'young', 30)

    >>> r = s.find_ge(32)       # find youngest person aged 32 or older
    >>> s.index(r)              # get the index of their record
    3
    >>> s[3]                    # fetch the record at that index