2196. Create Binary Tree From Descriptions LeetCode Solution
In this guide, you will get 2196. Create Binary Tree From Descriptions LeetCode Solution with the best time and space complexity. The solution to Create Binary Tree From Descriptions problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
Table of Contents
- Problem Statement
- Complexity Analysis
- Create Binary Tree From Descriptions solution in C++
- Create Binary Tree From Descriptions solution in Java
- Create Binary Tree From Descriptions solution in Python
- Additional Resources

Problem Statement of Create Binary Tree From Descriptions
You are given a 2D integer array descriptions where descriptions[i] = [parenti, childi, isLefti] indicates that parenti is the parent of childi in a binary tree of unique values. Furthermore,
If isLefti == 1, then childi is the left child of parenti.
If isLefti == 0, then childi is the right child of parenti.
Construct the binary tree described by descriptions and return its root.
The test cases will be generated such that the binary tree is valid.
Example 1:
Input: descriptions = [[20,15,1],[20,17,0],[50,20,1],[50,80,0],[80,19,1]]
Output: [50,20,80,15,17,19]
Explanation: The root node is the node with value 50 since it has no parent.
The resulting binary tree is shown in the diagram.
Example 2:
Input: descriptions = [[1,2,1],[2,3,0],[3,4,1]]
Output: [1,2,null,null,3,4]
Explanation: The root node is the node with value 1 since it has no parent.
The resulting binary tree is shown in the diagram.
Constraints:
1 <= descriptions.length <= 104
descriptions[i].length == 3
1 <= parenti, childi <= 105
0 <= isLefti <= 1
The binary tree described by descriptions is valid.
Complexity Analysis
- Time Complexity: O(n)
- Space Complexity: O(n)
2196. Create Binary Tree From Descriptions LeetCode Solution in C++
class Solution {
public:
TreeNode* createBinaryTree(vector<vector<int>>& descriptions) {
unordered_map<TreeNode*, TreeNode*> childToParent;
unordered_map<int, TreeNode*> valToNode;
for (const vector<int>& d : descriptions) {
const int p = d[0];
const int c = d[1];
const bool isLeft = d[2];
TreeNode* parent = valToNode.contains(p)
? valToNode[p]
: (valToNode[p] = new TreeNode(p));
TreeNode* child = valToNode.contains(c)
? valToNode[c]
: (valToNode[c] = new TreeNode(c));
childToParent[child] = parent;
if (isLeft)
parent->left = child;
else
parent->right = child;
}
// Pick a random node and traverse upwardly.
TreeNode* root = childToParent.begin()->second;
while (childToParent.contains(root))
root = childToParent[root];
return root;
}
};
/* code provided by PROGIEZ */
2196. Create Binary Tree From Descriptions LeetCode Solution in Java
class Solution {
public TreeNode createBinaryTree(int[][] descriptions) {
Map<TreeNode, TreeNode> childToParent = new HashMap<>();
Map<Integer, TreeNode> valToNode = new HashMap<>();
for (int[] d : descriptions) {
final int p = d[0];
final int c = d[1];
final int isLeft = d[2];
TreeNode parent = valToNode.getOrDefault(p, new TreeNode(p));
TreeNode child = valToNode.getOrDefault(c, new TreeNode(c));
valToNode.put(p, parent);
valToNode.put(c, child);
childToParent.put(child, parent);
if (isLeft == 1)
parent.left = child;
else
parent.right = child;
}
// Pick a random node and traverse upwardly.
TreeNode root = childToParent.keySet().iterator().next();
while (childToParent.containsKey(root))
root = childToParent.get(root);
return root;
}
}
// code provided by PROGIEZ
2196. Create Binary Tree From Descriptions LeetCode Solution in Python
class Solution:
def createBinaryTree(self, descriptions: list[list[int]]) -> TreeNode | None:
children = set()
valToNode = {}
for p, c, isLeft in descriptions:
parent = valToNode.setdefault(p, TreeNode(p))
child = valToNode.setdefault(c, TreeNode(c))
if isLeft:
parent.left = child
else:
parent.right = child
children.add(c)
root = (set(valToNode) - set(children)).pop()
return valToNode[root]
# code by PROGIEZ
Additional Resources
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