{ "data": { "question": { "questionId": "636", "questionFrontendId": "636", "categoryTitle": "Algorithms", "boundTopicId": 1805, "title": "Exclusive Time of Functions", "titleSlug": "exclusive-time-of-functions", "content": "
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.
\n\nYou 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
.
\n
Example 1:
\n\n\nInput: n = 2, logs = ["0:start:0","1:start:2","1:end:5","0:end:6"]\nOutput: [3,4]\nExplanation:\nFunction 0 starts at the beginning of time 0, then it executes 2 for units of time and reaches the end of time 1.\nFunction 1 starts at the beginning of time 2, executes for 4 units of time, and ends at the end of time 5.\nFunction 0 resumes execution at the beginning of time 6 and executes for 1 unit of time.\nSo function 0 spends 2 + 1 = 3 units of total time executing, and function 1 spends 4 units of total time executing.\n\n\n
Example 2:
\n\n\nInput: n = 1, logs = ["0:start:0","0:start:2","0:end:5","0:start:6","0:end:6","0:end:7"]\nOutput: [8]\nExplanation:\nFunction 0 starts at the beginning of time 0, executes for 2 units of time, and recursively calls itself.\nFunction 0 (recursive call) starts at the beginning of time 2 and executes for 4 units of time.\nFunction 0 (initial call) resumes execution then immediately calls itself again.\nFunction 0 (2nd recursive call) starts at the beginning of time 6 and executes for 1 unit of time.\nFunction 0 (initial call) resumes execution at the beginning of time 7 and executes for 1 unit of time.\nSo function 0 spends 2 + 4 + 1 + 1 = 8 units of total time executing.\n\n\n
Example 3:
\n\n\nInput: n = 2, logs = ["0:start:0","0:start:2","0:end:5","1:start:6","1:end:6","0:end:7"]\nOutput: [7,1]\nExplanation:\nFunction 0 starts at the beginning of time 0, executes for 2 units of time, and recursively calls itself.\nFunction 0 (recursive call) starts at the beginning of time 2 and executes for 4 units of time.\nFunction 0 (initial call) resumes execution then immediately calls function 1.\nFunction 1 starts at the beginning of time 6, executes 1 unit of time, and ends at the end of time 6.\nFunction 0 resumes execution at the beginning of time 6 and executes for 2 units of time.\nSo function 0 spends 2 + 4 + 1 = 7 units of total time executing, and function 1 spends 1 unit of total time executing.\n\n\n
\n
Constraints:
\n\n1 <= n <= 100
1 <= logs.length <= 500
0 <= function_id < n
0 <= timestamp <= 109
"end"
log for each "start"
log.有一个 单线程 CPU 正在运行一个含有 n
道函数的程序。每道函数都有一个位于 0
和 n-1
之间的唯一标识符。
函数调用 存储在一个 调用栈 上 :当一个函数调用开始时,它的标识符将会推入栈中。而当一个函数调用结束时,它的标识符将会从栈中弹出。标识符位于栈顶的函数是 当前正在执行的函数 。每当一个函数开始或者结束时,将会记录一条日志,包括函数标识符、是开始还是结束、以及相应的时间戳。
\n\n给你一个由日志组成的列表 logs
,其中 logs[i]
表示第 i
条日志消息,该消息是一个按 \"{function_id}:{\"start\" | \"end\"}:{timestamp}\"
进行格式化的字符串。例如,\"0:start:3\"
意味着标识符为 0
的函数调用在时间戳 3
的 起始开始执行 ;而 \"1:end:2\"
意味着标识符为 1
的函数调用在时间戳 2
的 末尾结束执行。注意,函数可以 调用多次,可能存在递归调用 。
函数的 独占时间 定义是在这个函数在程序所有函数调用中执行时间的总和,调用其他函数花费的时间不算该函数的独占时间。例如,如果一个函数被调用两次,一次调用执行 2
单位时间,另一次调用执行 1
单位时间,那么该函数的 独占时间 为 2 + 1 = 3
。
以数组形式返回每个函数的 独占时间 ,其中第 i
个下标对应的值表示标识符 i
的函数的独占时间。
示例 1:
\n\n\n输入:n = 2, logs = [\"0:start:0\",\"1:start:2\",\"1:end:5\",\"0:end:6\"]\n输出:[3,4]\n解释:\n函数 0 在时间戳 0 的起始开始执行,执行 2 个单位时间,于时间戳 1 的末尾结束执行。 \n函数 1 在时间戳 2 的起始开始执行,执行 4 个单位时间,于时间戳 5 的末尾结束执行。 \n函数 0 在时间戳 6 的开始恢复执行,执行 1 个单位时间。 \n所以函数 0 总共执行 2 + 1 = 3 个单位时间,函数 1 总共执行 4 个单位时间。 \n\n\n
示例 2:
\n\n\n输入:n = 1, logs = [\"0:start:0\",\"0:start:2\",\"0:end:5\",\"0:start:6\",\"0:end:6\",\"0:end:7\"]\n输出:[8]\n解释:\n函数 0 在时间戳 0 的起始开始执行,执行 2 个单位时间,并递归调用它自身。\n函数 0(递归调用)在时间戳 2 的起始开始执行,执行 4 个单位时间。\n函数 0(初始调用)恢复执行,并立刻再次调用它自身。\n函数 0(第二次递归调用)在时间戳 6 的起始开始执行,执行 1 个单位时间。\n函数 0(初始调用)在时间戳 7 的起始恢复执行,执行 1 个单位时间。\n所以函数 0 总共执行 2 + 4 + 1 + 1 = 8 个单位时间。\n\n\n
示例 3:
\n\n\n输入:n = 2, logs = [\"0:start:0\",\"0:start:2\",\"0:end:5\",\"1:start:6\",\"1:end:6\",\"0:end:7\"]\n输出:[7,1]\n解释:\n函数 0 在时间戳 0 的起始开始执行,执行 2 个单位时间,并递归调用它自身。\n函数 0(递归调用)在时间戳 2 的起始开始执行,执行 4 个单位时间。\n函数 0(初始调用)恢复执行,并立刻调用函数 1 。\n函数 1在时间戳 6 的起始开始执行,执行 1 个单位时间,于时间戳 6 的末尾结束执行。\n函数 0(初始调用)在时间戳 7 的起始恢复执行,执行 1 个单位时间,于时间戳 7 的末尾结束执行。\n所以函数 0 总共执行 2 + 4 + 1 = 7 个单位时间,函数 1 总共执行 1 个单位时间。\n\n
示例 4:
\n\n\n输入:n = 2, logs = [\"0:start:0\",\"0:start:2\",\"0:end:5\",\"1:start:7\",\"1:end:7\",\"0:end:8\"]\n输出:[8,1]\n\n\n
示例 5:
\n\n\n输入:n = 1, logs = [\"0:start:0\",\"0:end:0\"]\n输出:[1]\n\n\n
\n\n
提示:
\n\n1 <= n <= 100
1 <= logs.length <= 500
0 <= function_id < n
0 <= timestamp <= 109
\"start\"
日志的 \"end\"
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