Reconstruct an Itinerary While Keeping an Unspecified Variant Explicit
Quick Overview
Use canonical Reconstruct Itinerary as a clearly labeled baseline for an interview report whose slight variant was not preserved. The solution explains duplicate-edge handling, lexical Hierholzer traversal, postorder route construction, validity checks, complexity, and the exact questions needed before adapting unknown semantics.
Reconstruct an Itinerary While Keeping an Unspecified Variant Explicit
Company: Pinterest
Role: Software Engineer
Category: Software Engineering Fundamentals
Difficulty: medium
Interview Round: Technical Screen
# Reconstruct an Itinerary While Keeping an Unspecified Variant Explicit
The interview report identifies LeetCode 332, **Reconstruct Itinerary**, and says that the interview used a slight variant. It does not record what changed. Use the canonical problem below as a preparation baseline, then explain what you must clarify before claiming that a solution handles the interview variant.
## Canonical Baseline
You receive airline tickets as directed pairs `[from, to]`. Begin at `JFK`, use every ticket exactly once, and return the itinerary with the smallest lexical order among all valid itineraries. Duplicate tickets are distinct edges, and the canonical problem guarantees that at least one valid itinerary exists.
Explain an algorithm, its correctness, its complexity, and why simply taking the smallest available destination without backtracking can fail. You may use an iterative or recursive form, but account for every ticket occurrence.
## Unknown Variant Boundary
Before adapting the baseline, ask which detail changed. Possibilities to clarify include the starting airport, validity guarantee, lexical tie-break, requirement to use every ticket, duplicate-ticket behavior, desired output, or whether tickets arrive dynamically. Do not select one of these as the reported change without evidence.
### What a Strong Answer Covers
- A directed multigraph that preserves duplicate tickets.
- Hierholzer's algorithm with destinations consumed in lexical order.
- Postorder route construction and reversal.
- A check that the final route contains exactly `tickets.length + 1` airports.
- A firm separation between canonical semantics and the missing variant.
### Follow-up Questions
1. Why does naive lexical walk selection risk getting stuck before all tickets are used?
2. How can reverse-sorted adjacency lists replace a min-heap?
3. Which variant changes would invalidate the canonical Eulerian-path solution?
Quick Answer: Use canonical Reconstruct Itinerary as a clearly labeled baseline for an interview report whose slight variant was not preserved. The solution explains duplicate-edge handling, lexical Hierholzer traversal, postorder route construction, validity checks, complexity, and the exact questions needed before adapting unknown semantics.
Reconstruct an Itinerary While Keeping an Unspecified Variant Explicit
The interview report identifies LeetCode 332, Reconstruct Itinerary, and says that the interview used a slight variant. It does not record what changed. Use the canonical problem below as a preparation baseline, then explain what you must clarify before claiming that a solution handles the interview variant.
Canonical Baseline
You receive airline tickets as directed pairs [from, to]. Begin at JFK, use every ticket exactly once, and return the itinerary with the smallest lexical order among all valid itineraries. Duplicate tickets are distinct edges, and the canonical problem guarantees that at least one valid itinerary exists.
Explain an algorithm, its correctness, its complexity, and why simply taking the smallest available destination without backtracking can fail. You may use an iterative or recursive form, but account for every ticket occurrence.
Unknown Variant Boundary
Before adapting the baseline, ask which detail changed. Possibilities to clarify include the starting airport, validity guarantee, lexical tie-break, requirement to use every ticket, duplicate-ticket behavior, desired output, or whether tickets arrive dynamically. Do not select one of these as the reported change without evidence.
What a Strong Answer Covers Guidance
A directed multigraph that preserves duplicate tickets.
Hierholzer's algorithm with destinations consumed in lexical order.
Postorder route construction and reversal.
A check that the final route contains exactly
tickets.length + 1
airports.
A firm separation between canonical semantics and the missing variant.
Follow-up Questions Guidance
Why does naive lexical walk selection risk getting stuck before all tickets are used?
How can reverse-sorted adjacency lists replace a min-heap?
Which variant changes would invalidate the canonical Eulerian-path solution?