Compute Cosine Similarity Matrix for Vector Embeddings

Medium

Compute Cosine Similarity Matrix for Vector Embeddings

MediumCategory: AI / DataAcceptance: 76%

Problem Statement

Write an optimal implementation to solve the **vector similarity cosine distance** challenge for Python & AI Engineering. Ensure your solution handles edge cases, executes with efficient time complexity, and passes all automated test cases.

Examples

Example 1:

Input: input = [1, 2, 3]

Output: [3, 2, 1]

Explanation: Example transformation for vector similarity cosine distance.

Constraints

1 <= input.length <= 10^5
Time complexity must be O(N) or better.
Space complexity must be O(1) auxiliary space where applicable.

Solution Editor

Input:input = [1, 2, 3]

Expected Output:[3, 2, 1]