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3 matches found for 'heapq'

Merge k sorted linked lists

... for i in range(0, k): if lists[i] is None: continue heapq.heappush(heap, (lists[i].val, i)) lists[i] = lists[i].next i = 0 # The heap may be depleted if every linked list is exhausted except for one.

February 9, 2019

Python Essentials

... Empty set s = set() Set with values s = set([1, 2, 3]) Min heap import heapq q = [] heapq.heappush(q, 1) heapq.heappush(q, 2) heapq.

April 3, 2019

Algorithm Handbook

... and the array is allocated statically - priority queues are used as an alternative. Python's heapq uses priority queues with the binary heap structure. Great performance: The time complexity is \(O(n\log n)\) best-case/worst-case/average-case.

June 18, 2017