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DSA · Theory

In place, convert BST into a Min-Heap

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Theory

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In place, convert BST into a Min-Heap

In place, convert BST into a Min-Heap is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know In place, convert BST into a Min-Heap.

From the example next to this theory: In place, convert BST into a Min-Heap — heap sort uses a binary heap to repeatedly extract the minimum.

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is In place, convert BST into a Min-Heap? Then show left < root < right. Then name the trap.

Diagram
      8
     / \
    3   10
   / \
  1   6
Exam tip

What is In place, convert BST into a Min-Heap? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

import heapq

def heap_sort(arr):
    h = arr[:]
    heapq.heapify(h)
    return [heapq.heappop(h) for _ in range(len(h))]

print(heap_sort([5, 1, 4, 2]))

In place, convert BST into a Min-Heap — heap sort uses a binary heap to repeatedly extract the minimum.

Short notes

  • DefIn place, convert BST into a Min-Heap — folder on disk in a file explorer.
  • Ruleleft < root < right
  • Trapunbalanced BST becoming a list
  • Usea file explorer

Questions

1

What is In place, convert BST into a Min-Heap?

2

Give one small example of In place, convert BST into a Min-Heap.

3

What mistake do beginners make with In place, convert BST into a Min-Heap?

4

Where do you use In place, convert BST into a Min-Heap?

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