Design 2

[KartavyaBhatt]

No description provided.

[super30admin]

Create Queue using Stacks (Problem_1.py)

Strengths:

• Excellent documentation explaining the algorithm and time complexity analysis
• Correct implementation of the two-stack queue pattern
• Good variable naming (s1, s2 are clear and descriptive)
• Proper handling of all edge cases

Areas for Improvement:

• In pop() and peek(), consider using while self.s1: instead of for _ in range(len(self.s1)). The current approach calculates the length upfront, which is fine, but while self.s1: is more Pythonic and slightly more efficient when s1 is empty (avoids unnecessary range calculation)
• The solution is functionally correct and efficient, but these minor style improvements would make it more polished

VERDICT: PASS

---

Implement Hash Map (Problem_2.py)

Strengths:

1. Clean, readable code with good comments explaining the approach
2. Correct use of double hashing (division and modulo)
3. O(1) time complexity for all operations, matching the reference solution
4. Good variable naming (row, col)

Areas for Improvement:

1. Space inefficiency: The main array is initialized with 1001 -1 values, and each row, when created, is a full array of 1000 elements. This means even sparse usage wastes space. Consider initializing with None instead and only creating rows/columns on demand.
2. Minor code issue: 1000+1 should be 1001 for clarity.
3. get method logic: The check if self.hashMap[row] == -1: return self.hashMap[row] is correct but could be more explicit by returning -1 directly.
4. Consider edge cases: The solution assumes keys are within reasonable bounds based on the hashing strategy. Verify that the array size (1001) is sufficient for all possible keys (0 to 10^6).

Overall, the solution is correct and efficient in time complexity, but could be improved in space efficiency.

VERDICT: PASS