Posts Day23 - BST Level-Order Traversal (Python 3)
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Day23 - BST Level-Order Traversal (Python 3)

  • URL : https://www.hackerrank.com/challenges/30-binary-trees/problem

  • Objective
    • Today, we’re going further with Binary Search Trees. Check out the Tutorial tab for learning materials and an instructional video!
  • Task
    • A level-order traversal, also known as a breadth-first search, visits each level of a tree’s nodes from left to right, top to bottom. You are given a pointer, root, pointing to the root of a binary search tree. Complete the levelOrder function provided in your editor so that it prints the level-order traversal of the binary search tree.
  • Hint: You’ll find a queue helpful in completing this challenge.

  • Input Format
    • The locked stub code in your editor reads the following inputs and assembles them into a BST:
    • The first line contains an integer, T (the number of test cases).
    • The T subsequent lines each contain an integer, data, denoting the value of an element that must be added to the BST.
  • Output Format
    • Print the data value of each node in the tree’s level-order traversal as a single line of N space-separated integers.
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import sys

class Node:
    def __init__(self,data):
        self.right=self.left=None
        self.data = data
class Solution:
    def insert(self,root,data):
        if root==None:
            return Node(data)
        else:
            if data<=root.data:
                cur=self.insert(root.left,data)
                root.left=cur
            else:
                cur=self.insert(root.right,data)
                root.right=cur
        return root

    def levelOrder(self,root):
        #Write your code here
        queue = [root]
        while queue:
            node = queue.pop()
            print(node.data, end =' ')

            if node.left:
                queue.insert(False, node.left)
            if node.right:
                queue.insert(False, node.right)
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