class MinStack:
def __init__(self):
self.stack = []
self.min_stack = []
def push(self, val: int) -> None:
self.stack.append(val)
if self.min_stack:
self.min_stack.append(min(self.min_stack[-1],val))
else:
self.min_stack.append(val)
def pop(self) -> None:
self.stack.pop()
self.min_stack.pop()
def top(self) -> int:
return self.stack[-1]
def getMin(self) -> int:
return self.min_stack[-1]
Problem Source: Leetcode
Problem Description
Design a stack that supports push
, pop
, top
, and retrieving the minimum element in constant time.
Implement the MinStack
class:
MinStack()
initializes the stack object.void push(int val)
pushes the elementval
onto the stack.void pop()
removes the element on the top of the stack.int top()
gets the top element of the stack.int getMin()
retrieves the minimum element in the stack.
You must implement a solution with O(1)
time complexity for each function.
Examples
Input"MinStack","push","push","push","getMin","pop","top","getMin"]
[-2],[0],[-3],[],[],[],[]]
[[],[
Output-3,null,0,-2]
[null,null,null,null,
Explanation= new MinStack();
MinStack minStack -2);
minStack.push(0);
minStack.push(-3);
minStack.push(; // return -3
minStack.getMin();
minStack.pop(); // return 0
minStack.top(); // return -2 minStack.getMin()
Constraints:
-231 <= val <= 231 - 1
- Methods
pop
,top
andgetMin
operations will always be called on non-empty stacks. - At most
3 * 104
calls will be made topush
,pop
,top
, andgetMin
.
Solution
Each method is O(1).
- Time Complexity:
O(1)
- Space Complexity:
O(1)