How should I practice Serialize and Deserialize an N-Ary Tree?

Start by reading the full statement, solve the visible examples, then compare the pattern against related Uber onsite interview problems in FastPrep.

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Serialize and Deserialize an N-Ary Tree

Uber● MediumFULLTIMEONSITE INTERVIEW

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Problem statement

Implement a codec for finite rooted ordered N-ary trees with integer values. Process each operation independently and return one result per operation.

For serialize, the payload is a canonical tree description: a node is value[child1,child2,...], a leaf is value[], and an empty tree is #. Return a preorder encoding in which every non-null node contributes its value followed by its child count, with tokens separated by one space. The empty tree encodes as #.
For deserialize, the payload is a preorder child-count encoding produced by that rule. Rebuild the tree and return its canonical tree description.

Child order must be preserved exactly.

Function

processNaryCodec(operations: String[], payloads: String[]) → String[]

Examples

Example 1

operations = ["serialize","deserialize"]payloads = ["1[2[],3[4[]]]","1 2 2 0 3 1 4 0"]return = ["1 2 2 0 3 1 4 0","1[2[],3[4[]]]"]

The first operation encodes the ordered tree in preorder. The second reconstructs the same tree and emits its canonical description.

Example 2

operations = ["serialize","deserialize"]payloads = ["#","-5 0"]return = ["#","-5[]"]

The null tree has the single-token encoding #, while a leaf stores its value and a zero child count.

Constraints

1 <= operations.length == payloads.length <= 100
Every operation is serialize or deserialize, and each payload is valid for its operation.
Across all operations there are at most 10000 nodes and at most 100000 payload characters.
Node values are signed 32-bit integers.