Completed s30 DP-3

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Minimum Falling Path Sum (delandearn.py)

1. Wrong Problem: The submitted solution solves "Delete and Earn" (LeetCode 740), not "Minimum Falling Path Sum" (LeetCode 931). Please ensure you're solving the correct problem.

2. If this were the right problem: The solution would need to:

   • Use a 2D DP approach where dp[i][j] represents the minimum falling path sum starting at position (i,j)
   • Iterate through rows from bottom to top
   • For each cell, consider three possible next positions (down, down-left, down-right)
   • Return the minimum value in the first row after computing all paths

3. Code Quality (for wrong problem): The code is well-structured for its intended problem, with clear variable names and proper handling of edge cases.

VERDICT: NEEDS_IMPROVEMENT

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Delete and Earn (minfailingpathsum.py)

Strengths:

• The code is well-structured and readable
• Proper use of float('inf') for boundary handling
• Good space optimization by using only two rows (prev and curr)
• Clear comments explaining time and space complexity

Weaknesses:

• Critical Issue: This solves the wrong problem. The submitted code is for "Minimum Falling Path Sum" not "Delete and Earn"
• No handling of the Delete and Earn problem constraints
• Missing imports (List from typing)

For the intended problem (Delete and Earn):, you would need to:

1. Create a frequency array where arr[value] = value * frequency
2. Apply a DP similar to House Robber: dp[i] = max(dp[i-1], arr[i] + dp[i-2])
3. This leverages the fact that picking a value eliminates adjacent values

VERDICT: NEEDS_IMPROVEMENT