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Trees-Binary Search Tree : Lowest Common Ancestor.py
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Trees-Binary Search Tree : Lowest Common Ancestor.py
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#Problem Link : https://www.hackerrank.com/challenges/binary-search-tree-lowest-common-ancestor/problem?isFullScreen=true&h_l=interview&playlist_slugs%5B%5D=interview-preparation-kit&playlist_slugs%5B%5D=trees&h_r=next-challenge&h_v=zen
#Ans:
class Node:
def __init__(self, info):
self.info = info
self.left = None
self.right = None
self.level = None
def __str__(self):
return str(self.info)
class BinarySearchTree:
def __init__(self):
self.root = None
def create(self, val):
if self.root == None:
self.root = Node(val)
else:
current = self.root
while True:
if val < current.info:
if current.left:
current = current.left
else:
current.left = Node(val)
break
elif val > current.info:
if current.right:
current = current.right
else:
current.right = Node(val)
break
else:
break
class BinarySearchTree:
def __init__(self):
self.root = None
def create(self, val):
if self.root is None:
self.root = Node(val)
else:
current = self.root
while True:
if val < current.info:
if current.left:
current = current.left
else:
current.left = Node(val)
break
elif val > current.info:
if current.right:
current = current.right
else:
current.right = Node(val)
break
else:
break
def lca(root, v1, v2):
if (v1 <= root.info <= v2 or v2 <= root.info <= v1):
return root
elif (root.info < v1 and root.info < v2):
return lca(root.right, v1, v2)
elif (root.info > v1 and root.info > v2):
return lca(root.left, v1, v2)
tree = BinarySearchTree()
t = int(input())
arr = list(map(int, input().split()))
for i in range(t):
tree.create(arr[i])
v = list(map(int, input().split()))
ans = lca(tree.root, v[0], v[1])
print (ans.info)