0150-leetcode算法实现之逆波兰表达式-evaluate-reverse-polish-notation-python&golang实现

根据 逆波兰表示法,求表达式的值。

有效的算符包括 +、-、*、/ 。每个运算对象可以是整数,也可以是另一个逆波兰表达式。

说明:

整数除法只保留整数部分。
给定逆波兰表达式总是有效的。换句话说,表达式总会得出有效数值且不存在除数为 0 的情况。

示例 1:

输入:tokens = ["2","1","+","3","*"]
输出:9
解释:该算式转化为常见的中缀算术表达式为:((2 + 1) * 3) = 9
示例 2:

输入:tokens = ["4","13","5","/","+"]
输出:6
解释:该算式转化为常见的中缀算术表达式为:(4 + (13 / 5)) = 6
示例 3:

输入:tokens = ["10","6","9","3","+","-11","","/","","17","+","5","+"]
输出:22
解释:
该算式转化为常见的中缀算术表达式为:
((10 * (6 / ((9 + 3) * -11))) + 17) + 5
= ((10 * (6 / (12 * -11))) + 17) + 5
= ((10 * (6 / -132)) + 17) + 5
= ((10 * 0) + 17) + 5
= (0 + 17) + 5
= 17 + 5
= 22

提示:

1 <= tokens.length <= 104
tokens[i] 要么是一个算符("+"、"-"、"*" 或 "/"),要么是一个在范围 [-200, 200] 内的整数

逆波兰表达式:

逆波兰表达式是一种后缀表达式,所谓后缀就是指算符写在后面。

平常使用的算式则是一种中缀表达式,如 ( 1 + 2 ) * ( 3 + 4 ) 。
该算式的逆波兰表达式写法为 ( ( 1 2 + ) ( 3 4 + ) * ) 。
逆波兰表达式主要有以下两个优点:

去掉括号后表达式无歧义,上式即便写成 1 2 + 3 4 + * 也可以依据次序计算出正确结果。
适合用栈操作运算:遇到数字则入栈;遇到算符则取出栈顶两个数字进行计算,并将结果压入栈中。

来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/evaluate-reverse-polish-notation

python

# 0150.逆波兰表达式
class Solution:
    def evalRPN(self, tokens: [str]) -> int:
        """
        栈,数字入栈,操作符运算后入栈,最后返回栈顶元素
        注意:
        - 正负数的判断,正数直接isdigit,负数应除符号外isdigit
        - 每次入栈的应该是数字
        - 除法运算应特别注意,考虑python2/3除法的特殊性, py3 /根据除的结果是float or int
        :param tokens:
        :return:
        """
        numStack = []
        for i in tokens:
            if i.isdigit() or i[1:].isdigit():
                numStack.append(int(i))
            else:
                if i == '+':
                    p1 = numStack.pop()
                    p2 = numStack.pop()
                    numStack.append(p2 + p1)
                elif i == '-':
                    p1 = numStack.pop()
                    p2 = numStack.pop()
                    numStack.append(p2 - p1)
                elif i == '*':
                    p1 = numStack.pop()
                    p2 = numStack.pop()
                    numStack.append(p2 * p1)
                elif i == '/':
                    p1 = numStack.pop()
                    p2 = numStack.pop()
                    numStack.append(int(p2 / float(p1)))
        return numStack.pop()

if __name__ == "__main__":
    tokens = ["10","6","9","3","+","-11","*","/","*","17","+","5","+"]
    tokens1 = ["2","1","+","3","*"]
    test = Solution()
    print(test.evalRPN(tokens))
    print(test.evalRPN(tokens1))

golang

package main

import "strconv"

func evalRPN(tokens []string) int {
	var numStack = []int{}
	for _, token := range tokens {
		val, err := strconv.Atoi(token)
		if err == nil {
			numStack = append(numStack, val)
		} else {
			num1, num2 := numStack[len(numStack)-2], numStack[len(numStack)-1]
			numStack = numStack[:len(numStack)-2]
			switch token {
			case "+":
				numStack = append(numStack, num1+num2)
			case "-":
				numStack = append(numStack, num1-num2)
			case "*":
				numStack = append(numStack, num1*num2)
			case "/":
				numStack = append(numStack, num1/num2)
			}
		}
	}
	return numStack[0]
}
原文地址:https://www.cnblogs.com/davis12/p/15531240.html