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+---
+id: construct-string-from-binary-tree
+title: Construct String from Binary Tree
+sidebar_label: 0606-Construct-String-from-Binary-Tree
+tags:
+- Tree
+- Depth-First Search
+- Binary Tree
+description: "Given the root of a binary tree, construct a string consisting of parenthesis and integers from a binary tree with the preorder traversal way."
+---
+
+## Problem
+
+Given the root of a binary tree, construct a string consisting of parenthesis and integers from a binary tree with the preorder traversal way.
+
+### Examples
+
+**Example 1:**
+
+**Input:** `root = [1,2,3,4]`  
+**Output:** `"1(2(4))(3)"`  
+**Explanation:** Originally, it needs to be `"1(2(4)())(3()())"`, but you need to omit all the unnecessary empty parenthesis pairs. And it will be `"1(2(4))(3)"`
+
+**Example 2:**
+
+**Input:** `root = [1,2,3,null,4]`  
+**Output:** `"1(2()(4))(3)"`  
+**Explanation:** Originally, it needs to be `"1(2()(4)())(3()())"`, but you need to omit all the unnecessary empty parenthesis pairs. And it will be `"1(2()(4))(3)"`
+
+### Constraints
+
+- The number of nodes in the tree is in the range `[1, 10^4]`.
+- `-5000 <= Node.val <= 5000`
+
+---
+
+## Approach
+
+To construct the string from the binary tree with the preorder traversal, we need to follow these steps:
+
+1. If the current node is `null`, return an empty string.
+2. Add the value of the current node to the result string.
+3. If the left child is `null` but the right child is not `null`, add `()` to represent the left child.
+4. Recursively add the left child string.
+5. Recursively add the right child string if it exists.
+
+### Solution
+
+#### Java Solution
+
+```java
+public class TreeNode {
+    int val;
+    TreeNode left;
+    TreeNode right;
+    TreeNode(int x) { val = x; }
+}
+
+class Solution {
+    public String tree2str(TreeNode root) {
+        if (root == null) return "";
+        String result = Integer.toString(root.val);
+        if (root.left != null || root.right != null) {
+            result += "(" + tree2str(root.left) + ")";
+            if (root.right != null) {
+                result += "(" + tree2str(root.right) + ")";
+            }
+        }
+        return result;
+    }
+}
+```
+#### C++ Solution
+
+```cpp
+#include <string>
+using namespace std;
+
+struct TreeNode {
+    int val;
+    TreeNode *left;
+    TreeNode *right;
+    TreeNode(int x) : val(x), left(NULL), right(NULL) {}
+};
+
+class Solution {
+public:
+    string tree2str(TreeNode* root) {
+        if (!root) return "";
+        string result = to_string(root->val);
+        if (root->left || root->right) {
+            result += "(" + tree2str(root->left) + ")";
+            if (root->right) {
+                result += "(" + tree2str(root->right) + ")";
+            }
+        }
+        return result;
+    }
+};
+```
+#### Python Solution
+
+```python
+# Definition for a binary tree node.
+class TreeNode:
+    def __init__(self, val=0, left=None, right=None):
+        self.val = val
+        self.left = left
+        self.right = right
+
+class Solution:
+    def tree2str(self, root: TreeNode) -> str:
+        if not root:
+            return ""
+        result = str(root.val)
+        if root.left or root.right:
+            result += f"({self.tree2str(root.left)})"
+            if root.right:
+                result += f"({self.tree2str(root.right)})"
+        return result
+```
+### Complexity Analysis
+**Time Complexity:** O(n)
+>Reason: Each node is visited once during the traversal.
+
+**Space Complexity:** O(h)
+>Reason: The space complexity is determined by the recursion stack, which in the worst case (unbalanced tree) is O(n), but on average (balanced tree) is O(log n).
+
+### References
+**LeetCode Problem:** Construct String from Binary Tree
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