Completed Array 2

[RitikaC1]

No description provided.

[super30admin]

Find All Numbers Disappeared in an Array (Problem1.py)

Strengths:

• Excellent implementation of the in-place marking algorithm
• Correctly handles edge cases (already negated values using abs())
• Clean and readable code with good variable naming
• Achieves optimal O(n) time complexity
• Properly follows the constraint of O(1) extra space

Areas for Improvement:

• Could add a brief comment explaining the algorithm's core idea for future maintainability
• The solution assumes the input array can be modified, which is fine per the problem but worth noting

This is a strong, optimal solution that demonstrates good understanding of array manipulation techniques.

VERDICT: PASS

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max and min (Problem2.py)

Strengths of the Game of Life solution (if that's what was intended):

• Clean, well-structured code with good variable naming
• Efficient use of in-place modification (O(1) space)
• Good use of helper function for counting neighbors
• Proper handling of boundary conditions
• Clear comments explaining time and space complexity

Critical Issue:

• The submitted solution solves a completely different problem than what was assigned. The reference solution is for finding min/max in an array, but the student submitted code for the Game of Life problem.

Recommendation:
If this was an error, please submit the correct solution for the "max and min" problem. If the assignment was actually for Game of Life, please clarify the requirements.

VERDICT: NEEDS_IMPROVEMENT

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Game of Life

Strengths:

1. Correctly implements the in-place algorithm using intermediate states (2 and 3)
2. Properly counts neighbors including cells that will die (board[r][c]==2) to ensure simultaneous updates
3. Clean, readable code with good variable naming
4. Correct boundary checking for edge cells
5. Efficient two-pass approach matching the optimal solution

Areas for Improvement:

1. Consider caching len(board) and len(board[0]) in local variables before loops to avoid repeated function calls
2. The code could benefit from a brief comment explaining the intermediate states (2 = dying, 3 = becoming alive)
3. Minor: Could use more descriptive names like live_to_dead and dead_to_live constants instead of magic numbers 2 and 3

Overall, this is a solid implementation that demonstrates good understanding of the problem and the in-place update requirement.

VERDICT: PASS