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DP-1#2002

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ADITYABHURAN:aditya-solution
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DP-1#2002
ADITYABHURAN wants to merge 1 commit into
super30admin:masterfrom
ADITYABHURAN:aditya-solution

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The Coin Change (problem1.py)

Strengths:

  • Correctly implements the classic 2D DP solution for coin change
  • Good use of comments explaining complexity
  • Clear variable naming (m, n for dimensions)
  • Successfully handles edge cases (amount = 0, unreachable amounts)
  • Much more efficient than the exponential reference solution

Areas for Improvement:

  • Space optimization: The 2D DP can be reduced to 1D since each cell only depends on dp[i-1][j] and dp[i][j-coins[i-1]]. This would reduce space from O(m*n) to O(n).
  • Magic number: Using 99999 as infinity is fragile. If coins can be larger or amount can be greater, this could cause issues. Using float('inf') would be more robust and Pythonic.
  • The dp[0][j] initialization could be improved - using float('inf') would make the min() comparison cleaner.

VERDICT: PASS


House Robber

Strengths:

  • The code is well-structured with clear variable naming
  • The 2D DP approach for Coin Change is correctly implemented
  • Proper handling of edge cases (initializing dp[0][j] to a large value)
  • Good use of comments explaining time/space complexity

Areas for Improvement:

  • Critical Issue: The submitted solution solves a completely different problem (Coin Change) than what was asked (House Robber). Always ensure your solution matches the problem statement.
  • For House Robber, the optimal approach would use either:
    • A simple DP with O(n) time and O(1) space using two variables (prev and curr)
    • Or the recursive approach shown in the reference with memoization
  • The current solution's O(m*n) space could be optimized to O(n) for Coin Change

Recommendation: Carefully read the problem statement and ensure your solution addresses the exact problem described. For House Robber specifically, consider the simpler single-pass DP approach which is more elegant for this problem.

VERDICT: NEEDS_IMPROVEMENT

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