def exclusiveTime(n: int, logs: List[str]) -> List[int]:
    """
    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.
    
    Example 1:
    
    
    >>> exclusiveTime(n = 2, logs = ["0:start:0","1:start:2","1:end:5","0:end:6"])
    >>> [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.
    
    Example 2:
    
    >>> exclusiveTime(n = 1, logs = ["0:start:0","0:start:2","0:end:5","0:start:6","0:end:6","0:end:7"])
    >>> [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.
    
    Example 3:
    
    >>> exclusiveTime(n = 2, logs = ["0:start:0","0:start:2","0:end:5","1:start:6","1:end:6","0:end:7"])
    >>> [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.
    """