Design 1 updated

[KartavyaBhatt]

No description provided.

[super30admin]

Implement Hash Set (Problem_1.py)

Strengths:

1. Excellent use of comments that explain the hash strategy clearly
2. Clean, consistent implementation across all three methods
3. Proper handling of edge cases (checking for None before access)
4. Good variable naming conventions

Areas for Improvement:

1. Space Optimization: The current implementation creates a full secondary array whenever any key maps to a primary bucket. Consider lazy initialization where secondary arrays are only created when needed (like the reference solution does).
2. Array Size: Using 1000+1 for both dimensions creates more space than necessary. The reference solution uses a smarter approach with secondaryBuckets+1 only for the primary bucket 0 to handle keys like 1000 correctly.
3. Remove Method: The condition self.hashSet[row][col] is True uses identity comparison instead of value comparison. While this works for booleans, using == True or just the boolean value directly would be more Pythonic.

Minor Suggestions:

• Consider using if self.hashSet[row]: instead of if self.hashSet[row] is not None: for cleaner code
• The contains method could simply return self.hashSet[row][col] since it already returns a boolean

VERDICT: PASS

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Implement Min Stack (Problem_2.py)

Strengths:

1. Excellent approach - storing the previous minimum in the stack is a clever space optimization
2. Good documentation with clear comments explaining the logic
3. Clean, readable code structure
4. Achieves O(1) time complexity for all operations

Areas for Improvement:

1. Critical Bug: The initialization self.min = float(inf) causes the first element to incorrectly push inf as the previous minimum. The fix should be to only push the previous minimum when val <= self.min and self.min != float(inf), or use a sentinel approach.
2. Return Statement: The pop() method returns a value, but per the problem specification, it should return void (no return value).
3. Consider using math.inf instead of float(inf) for better practice.

The core algorithm concept is excellent and even more space-efficient than the reference solution, but the initialization edge case needs to be handled properly.

VERDICT: NEEDS_IMPROVEMENT