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prioritydictionary.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# prioritydictionary.py
#
# Copyright 2002 David Eppstein, UC Irvine
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
# MA 02110-1301, USA.
#
# http://code.activestate.com/recipes/117228/
#
from __future__ import generators
class priorityDictionary(dict):
def __init__(self):
'''Initialize priorityDictionary by creating binary heap of pairs
(value,key). Note that changing or removing a dict entry will not
remove the old pair from the heap until it is found by smallest() or
until the heap is rebuilt.'''
self.__heap = []
dict.__init__(self)
def smallest(self):
'''Find smallest item after removing deleted items from heap.'''
if len(self) == 0:
raise IndexError, "smallest of empty priorityDictionary"
heap = self.__heap
while heap[0][1] not in self or self[heap[0][1]] != heap[0][0]:
lastItem = heap.pop()
insertionPoint = 0
while 1:
smallChild = 2*insertionPoint+1
if smallChild+1 < len(heap) and \
heap[smallChild] > heap[smallChild+1]:
smallChild += 1
if smallChild >= len(heap) or lastItem <= heap[smallChild]:
heap[insertionPoint] = lastItem
break
heap[insertionPoint] = heap[smallChild]
insertionPoint = smallChild
return heap[0][1]
def __iter__(self):
'''Create destructive sorted iterator of priorityDictionary.'''
def iterfn():
while len(self) > 0:
x = self.smallest()
yield x
del self[x]
return iterfn()
def __setitem__(self,key,val):
'''Change value stored in dictionary and add corresponding pair to heap.
Rebuilds the heap if the number of deleted items grows too large, to
avoid memory leakage.'''
dict.__setitem__(self,key,val)
heap = self.__heap
if len(heap) > 2 * len(self):
self.__heap = [(v,k) for k,v in self.iteritems()]
self.__heap.sort() # builtin sort likely faster than O(n) heapify
else:
newPair = (val,key)
insertionPoint = len(heap)
heap.append(None)
while insertionPoint > 0 and \
newPair < heap[(insertionPoint-1)//2]:
heap[insertionPoint] = heap[(insertionPoint-1)//2]
insertionPoint = (insertionPoint-1)//2
heap[insertionPoint] = newPair
def setdefault(self,key,val):
'''Reimplement setdefault to call our customized __setitem__.'''
if key not in self:
self[key] = val
return self[key]