Practice Recover a Tree From Preorder Traversal
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Recover a Tree From Preorder Traversal
We run a preorder depth-first search (DFS) on the root of a binary tree. At each node in this traversal, we output D dashes (where D is the depth of this node), then we output the value of this node. If the depth of a node is D, the depth of its immediate child is D + 1. The depth of the root node is 0. If a node has only one child, that child is guaranteed to be the left child. Given the output traversal of this traversal, recover the tree and return its root.
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Understanding the Recover a Tree From Preorder Traversal Problem
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Problem Statement
We run a preorder depth-first search (DFS) on the root of a binary tree. At each node in this traversal, we output D dashes (where D is the depth of this node), then we output the value of this node. If the depth of a node is D, the depth of its immediate child is D + 1. The depth of the root node is 0. If a node has only one child, that child is guaranteed to be the left child. Given the output traversal of this traversal, recover the tree and return its root.
Source: Recover a Tree From Preorder Traversal on LeetCode. Use the original task for its coding environment and submissions.
Recover a Tree From Preorder Traversal
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Examples
# Example 1
traversal = "1-2--3--4-5--6--7"
[1,2,5,3,4,6,7]
# Example 2
traversal = "1-2--3---4-5--6---7"
[1,2,5,3,null,6,null,4,null,7]
# Example 3
traversal = "1-401--349---90--88"
[1,401,null,349,88,90]
Constraints
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