Implementation of Max Heap in Python

[goungoun]

In Python, a max heap can be simulated using a list and leveraging the heapq module, which naturally implements a min heap. To work with a max heap, values can be stored as negative, so the default min heap behavior will simulate max heap behavior. The following code illustrates this approach:

import heapq

def max_heapify(arr):
    return [-x for x in arr]  # Negate values to simulate max heap

heap = [3,1,4,5,6]
max_heap = max_heapify(heap)  # Convert to max heap (-3, -1, -4,...)
heapq.heapify(max_heap)

# To extract the max element, pop the smallest from the negated values
max_value = -heapq.heappop(max_heap)

Answered by Liner

[goungoun]

Apply workaround.