Question
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.
Example 1:
Input ["MinStack","push","push","push","getMin","pop","top","getMin"] [[],[-2],[0],[-3],[],[],[],[]] Output
[null,null,null,null,-3,null,0,-2]
Explanation MinStack minStack = new MinStack(); minStack.push(-2); minStack.push(0); minStack.push(-3); minStack.getMin(); // return -3 minStack.pop(); minStack.top(); // return 0 minStack.getMin(); // return -2
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
.
Python Solution
class MinStack: def __init__(self): """ initialize your data structure here. """ self.stack = [] def push(self, x: int) -> None: cur_min = self.getMin() if cur_min==None or cur_min > x: cur_min = x self.stack.append([x,cur_min]) def pop(self) -> None: self.stack.pop() def top(self) -> int: if len(self.stack)==0: return None return self.stack[-1][0] def getMin(self) -> int: if len(self.stack)==0: return None return self.stack[-1][1] # Your MinStack object will be instantiated and called as such: # obj = MinStack() # obj.push(x) # obj.pop() # param_3 = obj.top() # param_4 = obj.getMin()