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Completed Design-2 problems - #2487

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Completed Design-2 problems#2487
shaurya22c wants to merge 1 commit into
super30admin:masterfrom
shaurya22c:master

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Implement Queue using Stacks (MyQueue.py)

Strengths:

  • Excellent documentation with a clear explanation of the approach, dry run, and complexity analysis
  • Correct implementation of the two-stack technique
  • Proper handling of all edge cases
  • Clean, readable code structure

Minor suggestions for improvement:

  • The empty() method could be more Pythonic: return not self.stack1 and not self.stack2 instead of the if-else pattern
  • The pop() method could include a safety check for empty queue (though the problem guarantees valid calls)
  • Consider adding inline comments within methods to explain key logic steps

Overall, this is a high-quality solution that demonstrates strong understanding of the problem and the underlying data structure manipulation.

VERDICT: PASS


Design HashMap (MyHashMap.py)

Strengths:

  1. Excellent documentation - The docstring clearly explains the data structure, time/space complexity, and even provides a visual representation of the buckets structure. This is exemplary.
  2. Clean implementation - The code is well-organized and easy to follow.
  3. Correct handling of edge cases - Properly handles key updates, missing keys, and removal of non-existent keys.
  4. Good use of Python idioms - The use of enumerate in remove is appropriate.

Minor Suggestions:

  1. Type hints on return values - The remove method could have a return type hint of -> None (which it does), but consider being consistent.
  2. Consider using a sentinel or dummy node - The reference solution uses a dummy head node to simplify the linked list operations. While not necessary here, it's a common pattern worth knowing.
  3. Bucket size consideration - With 1000 buckets and up to 10^4 keys, average bucket size is 10. This is reasonable. You could discuss load factor and rehashing as advanced topics.
  4. Alternative: Use tuples - You could store (key, value) tuples and rebuild the list on update. This is slightly less efficient but more "Pythonic" in some sense.

Overall, this is a high-quality solution that demonstrates strong understanding of hash map implementation.

VERDICT: PASS

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