150. Evaluate Reverse Polish Notation
Description of the Problem
You are given an array of strings tokens that represents an arithmetic expression in a Reverse Polish Notation.
Evaluate the expression. Return an integer that represents the value of the expression.
Note that:
- The valid operators are
'+','-','*', and'/'. - Each operand may be an integer or another expression.
- The division between two integers always truncates toward zero.
- There will not be any division by zero.
- The input represents a valid arithmetic expression in a reverse polish notation.
- The answer and all the intermediate calculations can be represented in a 32-bit integer.
Example 1:
Input: tokens = ["2","1","+","3","*"]
Output: 9
Explanation: ((2 + 1) * 3) = 9
Example 2:
Input: tokens = ["4","13","5","/","+"]
Output: 6
Explanation: (4 + (13 / 5)) = 6
Example 3:
Input: tokens = ["10","6","9","3","+","-11","*","/","*","17","+","5","+"]
Output: 22
Explanation: ((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
Constraints:
1 <= tokens.length <= 10^4tokens[i]is either an operator:"+","-","*", or"/", or an integer in the range[-200, 200].
Solution
Explanation
Simply speaking, when the token is an number, push into the stack; when the token is an operator, pop two numbers and calculate the result, push the result back to the stack.
Code (Rust)
impl Solution {
pub fn eval_rpn(tokens: Vec<String>) -> i32 {
let mut stack = vec![];
for token in tokens {
match(token.as_str()){
"+" => {
let b = stack.pop().unwrap();
let a = stack.pop().unwrap();
stack.push(a + b);
},
"-" => {
let b = stack.pop().unwrap();
let a = stack.pop().unwrap();
stack.push(a - b);
},
"*" => {
let b = stack.pop().unwrap();
let a = stack.pop().unwrap();
stack.push(a * b);
},
"/" => {
let b = stack.pop().unwrap();
let a = stack.pop().unwrap();
stack.push(a / b);
},
_ => {
stack.push(token.parse::<i32>().unwrap());
},
}
}
if stack.len() != 1{
panic!("Invalid Token");
}else{
return stack.pop().unwrap();
}
}
}
Complexity (n is the number of tokens)
Time Complexity:
- \( O(n) \)
Auxiliary Space:
- \( O(n) \)
- The size of the stack is bound by number of tokens