A library for Priory-Queues containing Indexed-Priority-Queue and Simple Priority-Queue
A library for Priority-Queues containing Indexed-Priority-Queue and Simple Priority-Queue.
clone the this reporitory using,
or, install using pip,
pip install pyqueues
Works with Python 3.x and PyPy.
Both, the Indexed priority queue and the queue has been implemented as a min binary heap to use it as a max heap or to uea it with custome key pass the values as a tuple in the heaps eg. (key, value). The time complexities are,
peek highest priority element: O(1)
pop highest priority element: O(log n)
push new element: O(log n)
additionally for Indexed Priority Queue,
lookup of any item by key: O(1)
remove element by key: O(log n)
update element by key: O(log n)
from pyqueues.indexedPriorityQueue import IndexedPriorityQueue from pyqueues.heap import heapify, heapPop, heapPush
to heapify a list (does not changes the original list, but heapifies internally),
arr = [10, 20, 15, 12, 40, 25, 18, 40] pq = IndexedPriorityQueue(arr) pq.heapify()
to push items into the priority queue,
to update a item using key (we an saperatly keep track of the key of the values using a dict by mapping values to the arrSize arrtibute of the priority queue)
pq.update(pq.arrSize-1, 100) # updates -1 to 100 pq.update(pq.arrSize-2, -1) # updates 2 to -1
"similarly use pq.decreaseKey() and pq.increaseKey() methods (works in half of, the time required for update method), when we know that we are increseing or decresing the values while updating."
to remove a values from priority queue,
pq.remove(pq.arrSize-1) # removes 100
to pop highest priority element,
pq.pop() # pops -1
Copyright (c) 2020 abecus
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