# [Solved] Given two binary trees original and cloned and given a reference to a node target in the original tree. The cloned tree is a copy of the original tree.

## Question

Given two binary trees `original` and `cloned` and given a reference to a node `target` in the original tree.

The `cloned` tree is a copy of the `original` tree.

Return a reference to the same node in the `cloned` tree.

Note that you are not allowed to change any of the two trees or the `target` node and the answer must be a reference to a node in the `cloned` tree.

Example 1:

```Input: tree = [7,4,3,null,null,6,19], target = 3
Output: 3
Explanation: In all examples the original and cloned trees are shown. The target node is a green node from the original tree. The answer is the yellow node from the cloned tree.
```

Example 2:

```Input: tree = [7], target =  7
Output: 7
```

Example 3:

```Input: tree = [8,null,6,null,5,null,4,null,3,null,2,null,1], target = 4
Output: 4
```

Constraints:

• The number of nodes in the `tree` is in the range `[1, 104]`.
• The values of the nodes of the `tree` are unique.
• `target` node is a node from the `original` tree and is not `null`.

Follow up: Could you solve the problem if repeated values on the tree are allowed?

## Python Solution

```# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

class Solution:
def getTargetCopy(self, original: TreeNode, cloned: TreeNode, target: TreeNode) -> TreeNode:
q_org = []
q_clo = []
q_org.append(original)
q_clo.append(cloned)
if q_org[0]==target:
return q_clo[0]

while len(q_org)!=0:
if q_org[0].left:
if q_org[0].left==target:
return q_clo[0].left
q_org.append(q_org[0].left)
q_clo.append(q_clo[0].left)

if q_org[0].right:
if q_org[0].right==target:
return q_clo[0].right
q_org.append(q_org[0].right)
q_clo.append(q_clo[0].right)
q_org.pop(0)
q_clo.pop(0)```
##### Abhishek Sharma

Started my Data Science journey in my 2nd year of college and since then continuously into it because of the magical powers of ML and continuously doing projects in almost every domain of AI like ML, DL, CV, NLP.

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