Coding (Algo)

Selection and partitioning: partition values until the requested order statistic reaches its final index

Selection and partitioning: Return the kth largest value in nums where k is one-based, or null when k is outside the valid range.

Input: A JSON object { "nums": number[], "k": number }.

Output: A JSON number or null.

Constraints:

0 <= nums.length <= 100000
Values may repeat
Aim for expected linear time rather than fully sorting

Read one JSON value from stdin and print exactly one JSON-serialized answer to stdout with no extra text.

Difficulty: MEDIUM. Variant: 2. Expect follow-up questions about complexity, edge cases, and alternative approaches.

Practice context

This coding (algo) exercise trains prompt interpretation, explicit assumptions, a concrete response, and a concise explanation of the decisions made. It is marked medium difficulty.

The signed-in workspace provides the tools required by the round, such as recording, code execution, diagrams, structured notes, or

What this task practices

This coding (algo) exercise trains the same sequence expected in an interview: understand the prompt, make assumptions explicit, produce a concrete answer, and explain the decisions behind it. The task is marked medium difficulty. The private workspace adds the tools required by this round, such as recording, code execution, diagrams, evidence panels, or structured notes. It also preserves the attempt so later feedback can be compared with previous work. Evaluation is based on task-specific criteria and the candidate seniority selected in the preparation path. Public pages never expose the reference solution, hidden tests, evaluator instructions, or another candidate’s work.