Skip to content

Completed Design - 1 - #2693

Open
satish-paraddi wants to merge 4 commits into
super30admin:masterfrom
satish-paraddi:master
Open

Completed Design - 1#2693
satish-paraddi wants to merge 4 commits into
super30admin:masterfrom
satish-paraddi:master

Conversation

@satish-paraddi

Copy link
Copy Markdown

No description provided.

@super30admin

Copy link
Copy Markdown
Owner

Design HashSet (design_1.py)

[Constructive feedback for this student]

VERDICT: PASS


Min Stack (problem-1.py)

Excellent work! Your solution correctly implements the MinStack with O(1) time complexity using the two-stack approach. The logic is sound and handles all edge cases properly.

Strengths:

  1. Correct algorithm: The two-stack approach is a classic and efficient way to solve this problem.
  2. Clean code: Your code is readable and well-structured.
  3. Pythonic style: Good use of float('inf') for the initial minimum value.
  4. Correct condition: Using >= in the push condition is actually correct - it ensures that when you pop a value equal to the current minimum, you properly restore the previous minimum.

Suggestions for improvement:

  1. Add docstrings: Consider adding docstrings to each method to explain what they do.
  2. Type hints: Adding type hints (e.g., def push(self, value: int) -> None:) would improve code clarity and IDE support.
  3. Variable naming: The parameter name value is fine, but you could consider matching the problem's val for consistency with the problem statement.

Here's an enhanced version with these improvements:

class MinStack:
    def __init__(self):
        """
        Initialize your data structure here.
        """
        self.st = []
        self.min_st = []
        self.min = float('inf')
    
    def push(self, val: int) -> None:
        """
        Push element val onto stack.
        """
        if self.min >= val:
            self.min_st.append(self.min)
            self.min = val
        self.st.append(val)
    
    def pop(self) -> None:
        """
        Removes the element on top of the stack.
        """
        if self.st.pop() == self.min:
            self.min = self.min_st.pop()
    
    def top(self) -> int:
        """
        Get the top element.
        """
        return self.st[-1]
    
    def getMin(self) -> int:
        """
        Retrieve the minimum element in the stack.
        """
        return self.min

Overall, your solution is correct, efficient, and well-written. Keep up the good work!

VERDICT: PASS

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants