![]() ![]() ![]() ![]() :param mlist: list of buildings in format (start, end, height). Import heapq import itertools class PriorityQueue ( object ): _REMOVED = "" def _init_ ( self ): self. I ended up implementing a wrapper class for that recipe to make it easier to use. That example is still hard to be used directly since it is not encapsulated into a class and the standard peek method is noticeably missing. On the other hand, the module heapq provides an implementation of binary heap algorithms, which is the most common data structure for implementing priority-queue.Īlthough the module does not provide any direct implementation of priority-queue, its documentation discusses how to add additional capabilities to a heap-based priority queue and provides a recipe as an example. It does not provide standard peek or remove methods in its public interface, which is sometimes critical.Īdditionally, the entry must be in the tuple form (priority_number, data) where lower number must be used for higher priority task to be returned first.įinally, this Queue version is reportedly slower because it adds locks and encapsulation designed for multi-threaded environment, which is arguably the intention of that module. The module Queue provides a PriorityQueue class but that implementation leaves a lot to be desired. A priority queue is a commonly used abstract data type, but it is not adequately provided in Python’s standard library. ![]()
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