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Quick Overview

This question evaluates proficiency with tree data structures and ancestor-query algorithms, focusing on reasoning about parent arrays, upward traversal, and performance under large n and q constraints.

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  • Coding & Algorithms
  • Software Engineer

Answer k-step ancestor queries in a rooted tree

Company: Others

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Take-home Project

You are given a rooted tree encoded as a parent array `par[1..n]` where: - Nodes are labeled `1..n`. - `par[i]` is the parent of node `i`. - Exactly one node has `par[i] = -1` (the root). You must answer `q` queries. Each query provides a starting node `u` and an integer `k`. Starting from `u`, apply the following operation **exactly `k` times** (or until you cannot move further): - If the current node has a parent, move to its parent. - If the current node is the root (parent is `-1`), you stay at the root for all remaining steps. For each query, output the final node label after performing the moves. ### Input format - `n` - array `par[1..n]` - `q` - `q` lines: `u k` ### Output format - For each query, one line with the final node label. ### Constraints (typical interview scale) - `1 <= n, q <= 2 * 10^5` - `0 <= k <= 10^9` - `par[i] = -1` or `1 <= par[i] <= n` ### Example If `par = [-1, 1, 1, 2, 2, 2, 2]` (meaning `par[1]=-1, par[2]=1, ...`): - Query `(u=7, k=2)` goes `7 -> 2 -> 1`, output `1`. - Query `(u=4, k=10)` ends at root `1`, output `1`.

Quick Answer: This question evaluates proficiency with tree data structures and ancestor-query algorithms, focusing on reasoning about parent arrays, upward traversal, and performance under large n and q constraints.

For each [u, k], return the node reached after moving to the parent k times, staying at the root if needed.

Constraints

  • par is a 1-indexed parent array stored as a Python list where par[i-1] is node i parent.
  • Exactly one parent is -1.
  • Queries are [node, k] pairs.

Examples

Input: ([-1,1,1,2,2,2,2], [[7,2],[4,10],[3,0]])

Expected Output: [1, 1, 3]

Explanation: Queries climb ancestors and stay at root when k is too large.

Input: ([-1], [[1,5]])

Expected Output: [1]

Explanation: The root remains itself.

Input: ([2,-1,2,3], [[4,1],[4,2],[4,3]])

Expected Output: [3, 2, 2]

Explanation: A non-1 root is supported.

Hints

  1. Precompute binary lifting ancestors.
  2. If a jump goes above the root, return the root.
Last updated: Jun 27, 2026

Related Coding Questions

  • Answer ancestor-walk queries on a rooted tree - Others (easy)
  • Return the largest file size in a directory - Others (easy)

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