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Examine the following code snippet which attempts to solve the problem. Identify the line containing the subtle bug that causes incorrect results on some inputs.

medium🐞 Bug Identification Q14 of Q15
Dynamic Programming: Knapsack - Ones and Zeroes (2D Knapsack)
Examine the following code snippet which attempts to solve the problem. Identify the line containing the subtle bug that causes incorrect results on some inputs.
ALine 7: zeros = s.count('0')
BLine 10: for j in range(0, n - ones + 1):
CLine 9: for i in range(0, m - zeros + 1): # iterating forwards
DLine 11: dp[i + zeros][j + ones] = max(dp[i + zeros][j + ones], 1 + dp[i][j])
Step-by-Step Solution
Solution:
  1. Step 1: Understand dp iteration direction

    To avoid counting the same string multiple times, dp must be updated backwards (from high to low indices).
  2. Step 2: Identify bug in iteration

    Iterating forwards over i and j causes dp states to be reused within the same iteration, leading to overcounting.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Backward iteration is required for 0/1 knapsack variants [OK]
Quick Trick: Forward iteration in 0/1 knapsack dp causes double counting [OK]
Common Mistakes:
MISTAKES
  • Forgetting to iterate dp backwards
  • Miscounting zeros and ones
Trap Explanation:
PITFALL
  • Forward iteration looks intuitive but breaks the 0/1 knapsack property of single use per item.
Interviewer Note:
CONTEXT
  • Tests if candidate knows subtle dp iteration order bugs in knapsack variants.
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