python implementation Design-2

[akarshchandra]

No description provided.

[super30admin]

Create Queue using Stacks (Problem1.py)

Strengths:

1. Clean separation of concerns with a dedicated transferInStackContents() method
2. Good documentation with time/space complexity analysis
3. Correct implementation of the two-stack queue pattern
4. Proper handling of edge cases

Areas for Improvement:

1. The pop() and peek() methods return 0 as a fallback, but since the problem guarantees valid calls, this is unnecessary. Consider raising an exception or simply relying on the transfer logic.
2. The transfer method could be slightly simplified by using while self.instack: instead of tracking items with a counter variable.

Overall, this is a solid implementation that correctly solves the problem with appropriate time complexity analysis.

VERDICT: PASS

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Implement Hash Map (Problem2.py)

Strengths:

1. Correct implementation of all HashMap operations with proper handling of dummy nodes
2. Good use of comments explaining the approach and potential pitfalls
3. Larger primary array size (10K) is a thoughtful optimization that reduces worst-case lookup time
4. Clean separation of concerns with helper methods (find, hash)
5. Proper handling of edge cases (empty buckets, key not found)

Areas for Improvement:

1. Minor typo in comment: "mitake" should be "mistake"
2. Could add type hints for better code documentation
3. The comment about "i may make mitake" is a bit unclear - consider rewording for clarity
4. Could add docstrings to methods for better documentation

Comparison to Reference:

• The solution follows the same core approach (chaining with linked lists) but with a different bucket size choice
• Both achieve the same time and space complexity guarantees
• The student's solution is equally correct and arguably has a slight edge in worst-case performance due to larger bucket array

VERDICT: PASS