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201 lines
6.7 KiB
201 lines
6.7 KiB
9 years ago
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"""
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Sorted collection for maintaining a sorted list.
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Taken from http://code.activestate.com/recipes/577197-sortedcollection/
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"""
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from bisect import bisect_left, bisect_right
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class SortedCollection(object):
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'''Sequence sorted by a key function.
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SortedCollection() is much easier to work with than using bisect() directly.
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It supports key functions like those use in sorted(), min(), and max().
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The result of the key function call is saved so that keys can be searched
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efficiently.
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Instead of returning an insertion-point which can be hard to interpret, the
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five find-methods return a specific item in the sequence. They can scan for
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exact matches, the last item less-than-or-equal to a key, or the first item
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greater-than-or-equal to a key.
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Once found, an item's ordinal position can be located with the index() method.
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New items can be added with the insert() and insert_right() methods.
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Old items can be deleted with the remove() method.
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The usual sequence methods are provided to support indexing, slicing,
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length lookup, clearing, copying, forward and reverse iteration, contains
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checking, item counts, item removal, and a nice looking repr.
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Finding and indexing are O(log n) operations while iteration and insertion
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are O(n). The initial sort is O(n log n).
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The key function is stored in the 'key' attibute for easy introspection or
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so that you can assign a new key function (triggering an automatic re-sort).
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In short, the class was designed to handle all of the common use cases for
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bisect but with a simpler API and support for key functions.
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>>> from pprint import pprint
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>>> from operator import itemgetter
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>>> s = SortedCollection(key=itemgetter(2))
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>>> for record in [
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... ('roger', 'young', 30),
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... ('angela', 'jones', 28),
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... ('bill', 'smith', 22),
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... ('david', 'thomas', 32)]:
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... s.insert(record)
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>>> pprint(list(s)) # show records sorted by age
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[('bill', 'smith', 22),
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('angela', 'jones', 28),
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('roger', 'young', 30),
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('david', 'thomas', 32)]
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>>> s.find_le(29) # find oldest person aged 29 or younger
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('angela', 'jones', 28)
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>>> s.find_lt(28) # find oldest person under 28
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('bill', 'smith', 22)
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>>> s.find_gt(28) # find youngest person over 28
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('roger', 'young', 30)
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>>> r = s.find_ge(32) # find youngest person aged 32 or older
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>>> s.index(r) # get the index of their record
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3
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>>> s[3] # fetch the record at that index
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('david', 'thomas', 32)
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>>> s.key = itemgetter(0) # now sort by first name
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>>> pprint(list(s))
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[('angela', 'jones', 28),
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('bill', 'smith', 22),
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('david', 'thomas', 32),
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('roger', 'young', 30)]
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'''
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def __init__(self, iterable=(), key=None):
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self._given_key = key
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key = (lambda x: x) if key is None else key
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decorated = sorted((key(item), item) for item in iterable)
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self._keys = [k for k, item in decorated]
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self._items = [item for k, item in decorated]
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self._key = key
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def _getkey(self):
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return self._key
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def _setkey(self, key):
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if key is not self._key:
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self.__init__(self._items, key=key)
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def _delkey(self):
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self._setkey(None)
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key = property(_getkey, _setkey, _delkey, 'key function')
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def clear(self):
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self.__init__([], self._key)
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def copy(self):
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return self.__class__(self, self._key)
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def __len__(self):
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return len(self._items)
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def __getitem__(self, i):
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return self._items[i]
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def __iter__(self):
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return iter(self._items)
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def __reversed__(self):
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return reversed(self._items)
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def __repr__(self):
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return '%s(%r, key=%s)' % (
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self.__class__.__name__,
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self._items,
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getattr(self._given_key, '__name__', repr(self._given_key))
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)
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def __reduce__(self):
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return self.__class__, (self._items, self._given_key)
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def __contains__(self, item):
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k = self._key(item)
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i = bisect_left(self._keys, k)
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j = bisect_right(self._keys, k)
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return item in self._items[i:j]
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def index(self, item):
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'Find the position of an item. Raise ValueError if not found.'
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k = self._key(item)
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i = bisect_left(self._keys, k)
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j = bisect_right(self._keys, k)
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return self._items[i:j].index(item) + i
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def count(self, item):
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'Return number of occurrences of item'
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k = self._key(item)
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i = bisect_left(self._keys, k)
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j = bisect_right(self._keys, k)
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return self._items[i:j].count(item)
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def insert(self, item):
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'Insert a new item. If equal keys are found, add to the left'
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k = self._key(item)
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i = bisect_left(self._keys, k)
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self._keys.insert(i, k)
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self._items.insert(i, item)
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def insert_right(self, item):
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'Insert a new item. If equal keys are found, add to the right'
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k = self._key(item)
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i = bisect_right(self._keys, k)
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self._keys.insert(i, k)
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self._items.insert(i, item)
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def remove(self, item):
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'Remove first occurence of item. Raise ValueError if not found'
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i = self.index(item)
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del self._keys[i]
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del self._items[i]
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def find(self, k):
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'Return first item with a key == k. Raise ValueError if not found.'
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i = bisect_left(self._keys, k)
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if i != len(self) and self._keys[i] == k:
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return self._items[i]
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raise ValueError('No item found with key equal to: %r' % (k,))
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def find_le(self, k):
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'Return last item with a key <= k. Raise ValueError if not found.'
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i = bisect_right(self._keys, k)
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if i:
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return self._items[i-1]
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raise ValueError('No item found with key at or below: %r' % (k,))
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def find_lt(self, k):
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'Return last item with a key < k. Raise ValueError if not found.'
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i = bisect_left(self._keys, k)
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if i:
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return self._items[i-1]
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raise ValueError('No item found with key below: %r' % (k,))
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def find_ge(self, k):
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'Return first item with a key >= equal to k. Raise ValueError if not found'
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i = bisect_left(self._keys, k)
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if i != len(self):
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return self._items[i]
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raise ValueError('No item found with key at or above: %r' % (k,))
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def find_gt(self, k):
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'Return first item with a key > k. Raise ValueError if not found'
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i = bisect_right(self._keys, k)
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if i != len(self):
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return self._items[i]
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raise ValueError('No item found with key above: %r' % (k,))
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