On a single-threaded CPU, we execute a program containing n
functions. Each function has a unique ID between 0
and n-1
.
Function calls are stored in a call stack: when a function call starts, its ID is pushed onto the stack, and when a function call ends, its ID is popped off the stack. The function whose ID is at the top of the stack is the current function being executed. Each time a function starts or ends, we write a log with the ID, whether it started or ended, and the timestamp.
You are given a list logs
, where logs[i]
represents the ith
log message formatted as a string "{function_id}:{"start" | "end"}:{timestamp}"
. For example, "0:start:3"
means a function call with function ID 0
started at the beginning of timestamp 3
, and "1:end:2"
means a function call with function ID 1
ended at the end of timestamp 2
. Note that a function can be called multiple times, possibly recursively.
A function's exclusive time is the sum of execution times for all function calls in the program. For example, if a function is called twice, one call executing for 2
time units and another call executing for 1
time unit, the exclusive time is 2 + 1 = 3
.
Return the exclusive time of each function in an array, where the value at the ith
index represents the exclusive time for the function with ID i
.
Input: n = 2, logs = ["0:start:0","1:start:2","1:end:5","0:end:6"] Output: [3,4] Explanation: Function 0 starts at the beginning of time 0, then it executes 2 for units of time and reaches the end of time 1. Function 1 starts at the beginning of time 2, executes for 4 units of time, and ends at the end of time 5. Function 0 resumes execution at the beginning of time 6 and executes for 1 unit of time. So function 0 spends 2 + 1 = 3 units of total time executing, and function 1 spends 4 units of total time executing.
Input: n = 1, logs = ["0:start:0","0:start:2","0:end:5","0:start:6","0:end:6","0:end:7"] Output: [8] Explanation: Function 0 starts at the beginning of time 0, executes for 2 units of time, and recursively calls itself. Function 0 (recursive call) starts at the beginning of time 2 and executes for 4 units of time. Function 0 (initial call) resumes execution then immediately calls itself again. Function 0 (2nd recursive call) starts at the beginning of time 6 and executes for 1 unit of time. Function 0 (initial call) resumes execution at the beginning of time 7 and executes for 1 unit of time. So function 0 spends 2 + 4 + 1 + 1 = 8 units of total time executing.
Input: n = 2, logs = ["0:start:0","0:start:2","0:end:5","1:start:6","1:end:6","0:end:7"] Output: [7,1] Explanation: Function 0 starts at the beginning of time 0, executes for 2 units of time, and recursively calls itself. Function 0 (recursive call) starts at the beginning of time 2 and executes for 4 units of time. Function 0 (initial call) resumes execution then immediately calls function 1. Function 1 starts at the beginning of time 6, executes 1 unit of time, and ends at the end of time 6. Function 0 resumes execution at the beginning of time 6 and executes for 2 units of time. So function 0 spends 2 + 4 + 1 = 7 units of total time executing, and function 1 spends 1 unit of total time executing.
1 <= n <= 100
1 <= logs.length <= 500
0 <= function_id < n
0 <= timestamp <= 109
- No two start events will happen at the same timestamp.
- No two end events will happen at the same timestamp.
- Each function has an
"end"
log for each"start"
log.
impl Solution {
pub fn exclusive_time(n: i32, logs: Vec<String>) -> Vec<i32> {
let mut stack = vec![];
let mut ret = vec![0; n as usize];
for log in logs {
let log = log.split(':').collect::<Vec<_>>();
let function_id = log[0].parse::<usize>().unwrap();
let timestamp = log[2].parse::<i32>().unwrap();
if log[1] == "start" {
if let Some(&(id, time)) = stack.last() {
ret[id] += timestamp - time;
}
stack.push((function_id, timestamp));
} else {
let (_, time) = stack.pop().unwrap();
ret[function_id] += timestamp - time + 1;
if let Some((id, _)) = stack.pop() {
stack.push((id, timestamp + 1));
}
}
}
ret
}
}