All O`one Data Structure

Hash TableLinked ListDesignDoubly-Linked List

Set 1 • 90 min

Problem Statement

In LinkedIn's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "All O`one Data Structure".

Given standard input parameters adhering to Hash Table principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.

Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.

Candidate Instructions

▸Identify the core invariant related to Hash Table.
▸Verify edge cases including empty inputs and extreme bounds.
▸Optimize time complexity before submitting.

Input Format

▸The first line specifies the dimensions or count of test elements N.
▸The subsequent line(s) contain the input array, string, or graph representation.

Output Format

▸Print the computed result adhering to the required return format.

Constraints

1 <= N <= 10^5
-10^9 <= element[i] <= 10^9
Time Limit: 2.0 seconds
Memory Limit: 256 MB

Edge Cases

▸Empty or single-element input
▸Input containing maximum or minimum boundary values
▸Uniform elements or all-negative test cases

Sample Test Cases

Example 1

Input

nums = [1, 2, 3, 4, 5], k = 3

Output

Explanation

Applying the optimal Hash Table approach yields the expected solution 3.

Complexity

TimeO(N)

SpaceO(N)

Expected Approach

Leverage Hash Table combined with Linked List, Design, Doubly-Linked List to process the input in optimal O(N) time complexity.

All O`one Data Structure

Solution & Code