Submit Design-1 PR

[agk-s30]

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[super30admin]

Design HashSet (Exercise_1.py)

Strengths:

• Excellent translation of the algorithm to Python with proper type hints
• Smart choice of secondary_buckets = 1001 to avoid the special case handling for primary_index == 0
• Clean, readable code with helpful comments
• All edge cases are properly handled

Areas for improvement:

• Consider using self.secondary_buckets in _secondary_hash for clarity, or rename the method to make it clear that it's computing the index based on primary bucket size
• The comment "works well here because this is a set" could be more concise
• You could add a brief explanation of why secondary_buckets = 1001 (to accommodate key = 10^6 mapping to index 1000)

Overall, this is a high-quality solution that demonstrates a clear understanding of the double hashing technique and properly handles all edge cases.

VERDICT: PASS

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Min Stack (Exercise_2.py)

Your solution is excellent! It correctly implements the Min Stack with O(1) time complexity for all operations. Here are some strengths and minor suggestions:

Strengths:

1. Correct handling of duplicates: Using value <= self.min_stack[-1] in push and equality check in pop correctly handles duplicate minimum values.
2. Space optimization: By only pushing to min_stack when the value is a new minimum (or equal), you save space compared to pushing on every operation.
3. Clean code: Well-structured with appropriate type hints and clear method names.
4. Good documentation: The header comments explain the approach clearly.

Minor suggestions:

1. Edge case documentation: You could add a brief comment explaining why <= is used (to handle duplicate minimums).
2. Method naming: Python convention typically uses snake_case for method names (e.g., push, pop, top, get_min) rather than camelCase. However, since this matches the problem description, it's acceptable.
3. Consider adding docstrings: Adding docstrings to each method would improve readability and provide documentation.

Overall, this is a high-quality solution that demonstrates a solid understanding of the problem and efficient implementation.

VERDICT: PASS