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Serialize Tree Visualizer & Solution | Rulcode

20. Serialize Tree

PRO

Hard

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Example 1:

Input: root = [1,2,3,null,null,4,5]

Output: [1,2,3,null,null,4,5]

Explanation: The input tree is serialized and then deserialized, resulting in the same tree structure.

Example 2:

Input: root = []

Output: []

Explanation: An empty tree is serialized to an empty string, which is then deserialized back into an empty tree.

Example 3:

Input: root = [1]

Output: [1]

Explanation: A single-node tree is serialized and deserialized correctly.

Serialize: use preorder traversal (root, left, right) with 'null' markers for empty nodes. Deserialize: reconstruct using the same preorder sequence by consuming values from queue/iterator.

Time Complexity

O(n)

Space Complexity

O(n)

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20. Serialize Tree

PRO

Hard

Topics

Hint

Understand Before Coding

Visualize This Problem

Open Visualizer

Draw Your Approach

Draw

Example 1:

Input: root = [1,2,3,null,null,4,5]

Output: [1,2,3,null,null,4,5]

Explanation: The input tree is serialized and then deserialized, resulting in the same tree structure.

Example 2:

Input: root = []

Output: []

Explanation: An empty tree is serialized to an empty string, which is then deserialized back into an empty tree.

Example 3:

Input: root = [1]

Output: [1]

Explanation: A single-node tree is serialized and deserialized correctly.

Serialize: use preorder traversal (root, left, right) with 'null' markers for empty nodes. Deserialize: reconstruct using the same preorder sequence by consuming values from queue/iterator.

Time Complexity

O(n)

Space Complexity

O(n)

20. Serialize Tree

Understand Before Coding

Visualize This Problem

Draw Your Approach

Example 1:

Example 2:

Example 3:

Learn

Topics

Hint

Use Cases

20. Serialize Tree

Understand Before Coding

Visualize This Problem

Draw Your Approach

Example 1:

Example 2:

Example 3:

Learn

Topics

Hint

Use Cases