2012年10月5日 · In Python 2.X and 3.x, heaps are supported through an importable library, heapq. It supplies numerous functions to work with the heap data structure modelled in a Python list.

2010年10月17日 · In particular, if the objects in the heap are functions, a tuple in the form of (priority, task) no longer works in Python 3 because functions cannot be compared. The new suggestion is to use a wrapper such as:

2012年4月15日 · When i references the end element the _siftup() call would fail, but in that case popping an element off the end of the heap doesn't break the heap invariant. Note Someone suggested an edit (rejected before I got to it) changing the heapq._siftdown(h, 0, i) to heapq._siftdown(h, o, len(h)) .

@user1291204 A heap queue isn't a sorted list. It's partially sorted, such that (heap[k] <= heap[2*k+1]) and (heap[k] <= heap[2*k+2]), the heap invariant, is always True. So heap[1] doesn't have to be less than or equal to heap[2], just heap[3] and higher. heap[0] will always be the smallest item. –

2013年2月10日 · heap = [(-value, key) for key,value in the_dict.items()] largest = heapq.nsmallest(10, heap) largest = [(key, -value) for value, key in largest] Note that since heapq implements only a min heap it's better to invert the values, so that bigger values become smaller. This solution will be slower for small sizes of the heap, for example:

2015年11月13日 · the time consuming operation is heapq.bubbledown(not actually a python api), under the hood, this function is very similar to heapq.pop() You will notice these functions are very handy when it comes to solve problems like Merge K sorted arrays .

2014年8月15日 · Since a heap in Python is basically just a standard list with the heapq interface used on top, the docs recommend possibly having an additional dictionary which maps your heap values to the index in your heap (list). So for your original question: Suppose I …

2017年10月8日 · Accessing the memory heap in python Hot Network Questions 1950s/1960s story about a comet coming to hit the earth and it brings world peace, then astronomer realizes it will miss earth

Maybe I misunderstand, but: "After that, the next 2 values will be larger (or equal) than the 1st, and the next 4 after that are going to be larger than the first 3, then the next 8 are larger, etc." – as a counter-example: [1, 5, 9, 7, 15, 10, 11] is a valid binary min-heap, but e.g. 7 (third level in the hierarchy) is still smaller than 9 (second level in the hierarchy).

2013年1月27日 · The management of this private heap is ensured internally by the Python memory manager. The Python memory manager has different components which deal with various dynamic storage management aspects, like sharing, segmentation, preallocation or caching. Memory reclamation is mostly handled by reference counting. That is, the Python VM …