Interview Problem : Two elements sum to target (Problem1.py)

This submission does not address the Interview Problem: Two elements sum to target at all. The student appears to have submitted code for a different problem (0/1 Knapsack) by mistake.

To solve the Two Sum problem correctly, the student should:

1. Implement a function that takes an array of integers (nums) and a target integer
2. Find two indices i and j such that nums[i] + nums[j] == target
3. Return these indices as an array

The reference solution uses a brute-force O(n²) approach with nested loops. A more optimized approach would use a hash map to achieve O(n) time complexity.

If this was a copy-paste error, please submit the correct solution for the Two Sum problem. If the student is learning dynamic programming, they should be aware that this is a different problem entirely.

VERDICT: NEEDS_IMPROVEMENT

Interview Problem: 0-1 Knapsack Problem (Problem2.py)

1. Wrong Problem: The submitted solution solves "Two Sum" (LeetCode problem) instead of the "0-1 Knapsack Problem" that was assigned. This is a critical error.

2. Language Mismatch: The file is named "Problem2.py" but contains Java code with class syntax. This would not execute as either language.

3. Missing Knapsack Logic: The solution lacks any of the core Knapsack concepts:

   • No 2D DP table construction
   • No weight-value pair consideration
   • No capacity constraint handling
   • No decision-making between including/excluding items

4. What was done well: The Two Sum solution (if that were the intended problem) is correctly implemented with proper HashMap usage and O(n) time complexity.

5. Recommendation: The student needs to:

   • Read the problem statement carefully before solving
   • Implement the 0-1 Knapsack DP approach as shown in the reference
   • Ensure code matches the file extension (Java in .java file or Python in .py file)

VERDICT: NEEDS_IMPROVEMENT