Merge and Serialize N-ary Trees

Quick Overview

Define explicit N-ary tree merge semantics, implement the contract without mutating inputs, and design a deterministic, validated round-trip format.

Merge and Serialize N-ary Trees

Company: LinkedIn

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: hard

Interview Round: Technical Screen

# Merge and Serialize N-ary Trees You are asked to merge two N-ary trees and then serialize the result, but no merge key, value-conflict rule, child-order rule, or wire format has been specified. Explain the questions you must resolve. Then choose one coherent contract, outline an implementation, and design a deterministic serialization and parser for that contract. ### Constraints & Assumptions - Input trees are finite and acyclic. - Node values alone may not be unique. - Children may be ordered or unordered depending on the chosen contract. - The serialized representation must distinguish structure unambiguously. - Inputs must not be mutated unless explicitly agreed. ### Clarifying Questions to Ask - Do nodes merge by stable ID, path position, or value? - What happens when matching nodes have different payloads? - Are duplicate children valid, and is child order meaningful? - Must serialization support arbitrary text, schema evolution, and malformed-input detection? ### Part 1 - Define merge semantics State node identity, value-conflict, child-order, duplicate, and ownership rules. #### What This Part Should Cover - Why several reasonable contracts yield different trees - Stable keys or a positional alternative - Deterministic conflict resolution - Deep-copy versus structural sharing ### Part 2 - Merge under the chosen contract Give an algorithm, correctness argument, complexity, and behavior for malformed inputs. #### What This Part Should Cover - Matching and unmatched children - Duplicate-key validation - Iterative handling of deep trees - Input immutability ### Part 3 - Serialize and parse Specify a versioned, length-safe format with a canonical child order and validation rules. #### What This Part Should Cover - Unambiguous boundaries - Round-trip and canonicalization guarantees - Resource limits and invalid data - Schema evolution ```hint Contract precedes code Two implementations cannot be compared until node identity, conflict handling, and child order define one expected merged tree. ``` ### What a Strong Answer Covers - Recognition that the source prompt lacks a canonical executable result - One explicit, internally consistent merge contract - A correct algorithm with ownership and complexity analysis - Deterministic, validated round-trip serialization ### Follow-up Questions 1. How would the algorithm change if child order were semantically meaningful? 2. Can structural sharing be safe when callers may mutate nodes? 3. How would you stream a tree too large to hold in memory?

Quick Answer: Define explicit N-ary tree merge semantics, implement the contract without mutating inputs, and design a deterministic, validated round-trip format.

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Sep 1, 2026
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Merge and Serialize N-ary Trees

You are asked to merge two N-ary trees and then serialize the result, but no merge key, value-conflict rule, child-order rule, or wire format has been specified. Explain the questions you must resolve. Then choose one coherent contract, outline an implementation, and design a deterministic serialization and parser for that contract.

Constraints & Assumptions

  • Input trees are finite and acyclic.
  • Node values alone may not be unique.
  • Children may be ordered or unordered depending on the chosen contract.
  • The serialized representation must distinguish structure unambiguously.
  • Inputs must not be mutated unless explicitly agreed.

Clarifying Questions to Ask Guidance

  • Do nodes merge by stable ID, path position, or value?
  • What happens when matching nodes have different payloads?
  • Are duplicate children valid, and is child order meaningful?
  • Must serialization support arbitrary text, schema evolution, and malformed-input detection?

Part 1 - Define merge semantics

State node identity, value-conflict, child-order, duplicate, and ownership rules.

What This Part Should Cover Guidance

  • Why several reasonable contracts yield different trees
  • Stable keys or a positional alternative
  • Deterministic conflict resolution
  • Deep-copy versus structural sharing

Part 2 - Merge under the chosen contract

Give an algorithm, correctness argument, complexity, and behavior for malformed inputs.

What This Part Should Cover Guidance

  • Matching and unmatched children
  • Duplicate-key validation
  • Iterative handling of deep trees
  • Input immutability

Part 3 - Serialize and parse

Specify a versioned, length-safe format with a canonical child order and validation rules.

What This Part Should Cover Guidance

  • Unambiguous boundaries
  • Round-trip and canonicalization guarantees
  • Resource limits and invalid data
  • Schema evolution

What a Strong Answer Covers Guidance

  • Recognition that the source prompt lacks a canonical executable result
  • One explicit, internally consistent merge contract
  • A correct algorithm with ownership and complexity analysis
  • Deterministic, validated round-trip serialization

Follow-up Questions Guidance

  1. How would the algorithm change if child order were semantically meaningful?
  2. Can structural sharing be safe when callers may mutate nodes?
  3. How would you stream a tree too large to hold in memory?
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