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Hello Programmers/Coders, Today we are going to share solutions to the Programming problems of LeetCode Solutions in C++, Java, & Python. At Each Problem with Successful submission with all Test Cases Passed, you will get a score or marks and LeetCode Coins. And after solving maximum problems, you will be getting stars. This will highlight your profile to the recruiters.
In this post, you will find the solution for the Construct Binary Tree from Preorder and Inorder Traversal in C++, Java & Python-LeetCode problem. We are providing the correct and tested solutions to coding problems present on LeetCode. If you are not able to solve any problem, then you can take help from our Blog/website.
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Link for the Problem – Construct Binary Tree from Preorder and Inorder Traversal– LeetCode Problem
Construct Binary Tree from Preorder and Inorder Traversal– LeetCode Problem
Problem:
Given two integer arrays preorder
and inorder
where preorder
is the preorder traversal of a binary tree and inorder
is the inorder traversal of the same tree, construct and return the binary tree.
Example 1:
Input: preorder = [3,9,20,15,7], inorder = [9,3,15,20,7] Output: [3,9,20,null,null,15,7]
Example 2:
Input: preorder = [-1], inorder = [-1] Output: [-1]
Constraints:
1 <= preorder.length <= 3000
inorder.length == preorder.length
-3000 <= preorder[i], inorder[i] <= 3000
preorder
andinorder
consist of unique values.- Each value of
inorder
also appears inpreorder
. preorder
is guaranteed to be the preorder traversal of the tree.inorder
is guaranteed to be the inorder traversal of the tree.
Construct Binary Tree from Preorder and Inorder Traversal– LeetCode Solutions
Construct Binary Tree from Preorder and Inorder Traversal Solution in C++:
class Solution { public: TreeNode* buildTree(vector<int>& preorder, vector<int>& inorder) { unordered_map<int, int> inToIndex; for (int i = 0; i < inorder.size(); ++i) inToIndex[inorder[i]] = i; return build(preorder, 0, preorder.size() - 1, inorder, 0, inorder.size() - 1, inToIndex); } private: TreeNode* build(const vector<int>& preorder, int preStart, int preEnd, const vector<int>& inorder, int inStart, int inEnd, const unordered_map<int, int>& inToIndex) { if (preStart > preEnd) return nullptr; const int rootVal = preorder[preStart]; const int rootInIndex = inToIndex.at(rootVal); const int leftSize = rootInIndex - inStart; TreeNode* root = new TreeNode(rootVal); root->left = build(preorder, preStart + 1, preStart + leftSize, inorder, inStart, rootInIndex - 1, inToIndex); root->right = build(preorder, preStart + leftSize + 1, preEnd, inorder, rootInIndex + 1, inEnd, inToIndex); return root; } };
Construct Binary Tree from Preorder and Inorder Traversal Solution in Java:
class Solution { public TreeNode buildTree(int[] preorder, int[] inorder) { Map<Integer, Integer> inToIndex = new HashMap<>(); for (int i = 0; i < inorder.length; ++i) inToIndex.put(inorder[i], i); return build(preorder, 0, preorder.length - 1, inorder, 0, inorder.length - 1, inToIndex); } private TreeNode build(int[] preorder, int preStart, int preEnd, int[] inorder, int inStart, int inEnd, Map<Integer, Integer> inToIndex) { if (preStart > preEnd) return null; final int rootVal = preorder[preStart]; final int rootInIndex = inToIndex.get(rootVal); final int leftSize = rootInIndex - inStart; TreeNode root = new TreeNode(rootVal); root.left = build(preorder, preStart + 1, preStart + leftSize, inorder, inStart, rootInIndex - 1, inToIndex); root.right = build(preorder, preStart + leftSize + 1, preEnd, inorder, rootInIndex + 1, inEnd, inToIndex); return root; } }
Construct Binary Tree from Preorder and Inorder Traversal Solution in Python:
class Solution: def buildTree(self, preorder: List[int], inorder: List[int]) -> Optional[TreeNode]: inToIndex = {num: i for i, num in enumerate(inorder)} def build(preStart: int, preEnd: int, inStart: int, inEnd: int) -> Optional[TreeNode]: if preStart > preEnd: return None rootVal = preorder[preStart] rootInIndex = inToIndex[rootVal] leftSize = rootInIndex - inStart root = TreeNode(rootVal) root.left = build(preStart + 1, preStart + leftSize, inStart, rootInIndex - 1) root.right = build(preStart + leftSize + 1, preEnd, rootInIndex + 1, inEnd) return root return build(0, len(preorder) - 1, 0, len(inorder) - 1)
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