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max heap python

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Lovely Lark answered on August 19, 2021 Popularity 10/10 Helpfulness 3/10

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max heap python

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import heapq

Since the built in heapq library is a minheap, multiply your values by -1
and it will function as a max heap. Just remeber that all your numbers 
have been inverted.

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Contributed on Aug 19 2021

Lovely Lark

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max heap python

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import heapq
listForTree = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]    
heapq.heapify(listForTree)             # for a min heap
heapq._heapify_max(listForTree)        # for a maxheap!!

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Source: stackoverflow.com

Tags: max-heap max-hea

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Contributed on Feb 15 2022

motion

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max heap in python

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import heapq
listForTree = [1,2,3,4,5,6,7,8]    

heapq._heapify_max(listForTree)        # for a maxheap!!
heapq._heappop_max(listForTree)        # pop from maxheap

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Source: stackoverflow.com

Tags: max-heap max-hea

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Contributed on Dec 14 2022

Chetan Datta

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max heap python

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# Python3 program to demonstrate working of heapq
  
from heapq import heappop, heappush, heapify
  
# Creating empty heap
heap = []
heapify(heap)
  
# Adding items to the heap using heappush
# function by multiplying them with -1
heappush(heap, -1 * 10)
heappush(heap, -1 * 30)
heappush(heap, -1 * 20)
heappush(heap, -1 * 400)
  
# printing the value of maximum element
print("Head value of heap : "+str(-1 * heap[0]))
  
# printing the elements of the heap
print("The heap elements : ")
for i in heap:
    print(-1 * i, end = ' ')
print("\n")
  
element = heappop(heap)
  
# printing the elements of the heap
print("The heap elements : ")
for i in heap:
    print(-1 * i, end = ' ')

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Source: www.geeksforgeeks.org

Tags: max-heap max-hea

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Contributed on Feb 15 2022

motion

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max heap

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Step 1 − Create a new node at the end of heap.
Step 2 − Assign new value to the node.
Step 3 − Compare the value of this child node with its parent.
Step 4 − If value of parent is less than child, then swap them.
Step 5 − Repeat step 3 & 4 until Heap property holds.

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Source: www.tutorialspoint.com

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Contributed on Sep 06 2022

Saad Ali

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python heap min or max

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Python's heap is a min heap.

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Source: docs.python.org

Tags: heap

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Contributed on Jun 14 2022

Johan

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