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feat(work): add solutions for 150.evaluate-reverse-polish-notation and 155.min-stack, remove 42.trapping-rain-water
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/*
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* 42. Trapping Rain Water
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* Difficulty: Hard
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* https://leetcode.com/problems/trapping-rain-water/
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*
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* ──────────────────────────────────────────────────
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*
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* Given n non-negative integers representing an elevation map where the
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* width of each bar is 1, compute how much water it can trap after
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* raining.
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*
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*
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*
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* Example 1:
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*
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* Input: height = [0,1,0,2,1,0,1,3,2,1,2,1]
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* Output: 6
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* Explanation: The above elevation map (black section) is represented
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* by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain
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* water (blue section) are being trapped.
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*
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* Example 2:
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*
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* Input: height = [4,2,0,3,2,5]
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* Output: 9
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*
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*
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*
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* Constraints:
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*
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* • n == height.length
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*
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* • 1 <= n <= 2 * 10^4
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*
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* • 0 <= height[i] <= 10^5
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*/
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/**
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* @param {number[]} height
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* @return {number}
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*/
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var trap = function(height) {
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};
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"""
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150. Evaluate Reverse Polish Notation
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Difficulty: Medium
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https://leetcode.com/problems/evaluate-reverse-polish-notation/
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──────────────────────────────────────────────────
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You are given an array of strings tokens that represents an
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arithmetic expression in a Reverse Polish Notation.
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Evaluate the expression. Return an integer that represents the value
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of the expression.
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Note that:
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• The valid operators are '+', '-', '*', and '/'.
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• Each operand may be an integer or another expression.
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• The division between two integers always truncates toward zero.
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• There will not be any division by zero.
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• The input represents a valid arithmetic expression in a reverse
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polish notation.
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• The answer and all the intermediate calculations can be
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represented in a 32-bit integer.
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Example 1:
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Input: tokens = ["2","1","+","3","*"]
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Output: 9
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Explanation: ((2 + 1) * 3) = 9
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Example 2:
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Input: tokens = ["4","13","5","/","+"]
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Output: 6
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Explanation: (4 + (13 / 5)) = 6
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Example 3:
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Input: tokens =
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["10","6","9","3","+","-11","*","/","*","17","+","5","+"]
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Output: 22
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Explanation: ((10 * (6 / ((9 + 3) * -11))) + 17) + 5
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= ((10 * (6 / (12 * -11))) + 17) + 5
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= ((10 * (6 / -132)) + 17) + 5
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= ((10 * 0) + 17) + 5
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= (0 + 17) + 5
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= 17 + 5
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= 22
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Constraints:
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• 1 <= tokens.length <= 10^4
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• tokens[i] is either an operator: "+", "-", "*", or "/", or an
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integer in the range [-200, 200].
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"""
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class Solution:
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def evalRPN(self, tokens: List[str]) -> int:
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stack = []
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operations = {
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"+": lambda x, y: int(x + y),
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"-": lambda x, y: int(x - y),
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"*": lambda x, y: int(x * y),
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"/": lambda x, y: int(x / y),
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}
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for c in tokens:
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if c in operations:
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y = stack.pop()
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x = stack.pop()
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calc_func = operations[c]
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result = calc_func(x, y)
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stack.append(result)
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else:
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stack.append(int(c))
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return stack[0]
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"""
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155. Min Stack
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Difficulty: Medium
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https://leetcode.com/problems/min-stack/
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──────────────────────────────────────────────────
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Design a stack that supports push, pop, top, and retrieving the
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minimum element in constant time.
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Implement the MinStack class:
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• MinStack() initializes the stack object.
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• void push(int value) pushes the element value onto the stack.
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• void pop() removes the element on the top of the stack.
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• int top() gets the top element of the stack.
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• int getMin() retrieves the minimum element in the stack.
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You must implement a solution with O(1) time complexity for each
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function.
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Example 1:
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Input
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["MinStack","push","push","push","getMin","pop","top","getMin"]
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[[],[-2],[0],[-3],[],[],[],[]]
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Output
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[null,null,null,null,-3,null,0,-2]
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Explanation
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MinStack minStack = new MinStack();
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minStack.push(-2);
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minStack.push(0);
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minStack.push(-3);
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minStack.getMin(); // return -3
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minStack.pop();
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minStack.top(); // return 0
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minStack.getMin(); // return -2
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Constraints:
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• -2^31 <= val <= 2^31 - 1
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• Methods pop, top and getMin operations will always be called on
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non-empty stacks.
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• At most 3 * 10^4 calls will be made to push, pop, top, and getMin.
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"""
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class MinStack:
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def __init__(self):
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self.stack = []
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self.minStack = []
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def push(self, value: int) -> None:
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self.stack.append(value)
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value = min(value, self.minStack[-1] if self.minStack else value)
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self.minStack.append(value)
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def pop(self) -> None:
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self.stack.pop()
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self.minStack.pop()
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def top(self) -> int:
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return self.stack[-1]
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def getMin(self) -> int:
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return self.minStack[-1]
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# Your MinStack object will be instantiated and called as such:
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# obj = MinStack()
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# obj.push(value)
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# obj.pop()
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# param_3 = obj.top()
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# param_4 = obj.getMin()
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