155. Min Stack

Easy


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 element val 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.

 

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 and getMin operations will always be called on non-empty stacks.
  • At most 3 * 104 calls will be made to push, pop, top, and getMin.




 # class ListNode:
#     def __init__(self, x, min = None):
#         self.val = x
#         self.next = None
#         self.min = min

class MinStack:

#     def __init__(self):
#         self.head = None
#         self.min = None


#     def push(self, value: int) -> None:
#         if not self.head:
#             self.head = ListNode(value, value)
#             self.min = value
#         else:
#             min = value if value < self.min else self.min
#             self.min = min
#             node = ListNode(value,  min)
#             node.next = self.head
#             #self.head.next = node
#             self.head = node

#     def pop(self) -> None:
#         if self.head is not None:
#             self.head = self.head.next
#             if self.head is not None:
#                 self.min = self.head.min
#             else:
#                 self.min = None

#     def top(self) -> int:
#         if self.head is not None:
#             return self.head.val


#     def getMin(self) -> int:
#         return self.min
    def __init__(self):
        self.stack = []

    def push(self, value):
        if not self.stack: # empty stack
            self.stack.append([value, value])
        else:
            minimum = value if value < self.getMin() else self.getMin()
            self.stack.append( [value, minimum] )

    def getMin(self):
        #print(self.stack)
        return self.stack[-1][1]

    def pop(self):
        self.stack.pop()

    def top(self):
        if self.stack is not None:
            return self.stack[-1][0]


# Your MinStack object will be instantiated and called as such:
# obj = MinStack()
# obj.push(val)
# obj.pop()
# param_3 = obj.top()
# param_4 = obj.getMin()

Random Note


Floyd's Tortoise and Hare is used to detect linked list cycle.