文件: root - text - article - 2020 - 02 - multitasking.txt
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 1193 次阅读, 25105 次搜索 | 77 个单词
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标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 1193 次阅读, 25105 次搜索 | 77 个单词
| 浏览 | 博客存档
Hi, here's your problem today. This problem was recently asked by AirBNB:
We have a list of tasks to perform, with a cooldown period. We can do multiple of these at the same time, but we cannot run the same task simultaneously.
Given a list of tasks, find how long it will take to complete the tasks in the order they are input.
tasks = [1, 1, 2, 1]
cooldown = 2
output: 7 (order is 1 _ _ 1 2 _ 1)
def findTime(arr, cooldown):
# Fill this in.
print findTime([1, 1, 2, 1], 2)
# 7
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 1193 次阅读, 25105 次搜索 | 77 个单词 We have a list of tasks to perform, with a cooldown period. We can do multiple of these at the same time, but we cannot run the same task simultaneously.
Given a list of tasks, find how long it will take to complete the tasks in the order they are input.
tasks = [1, 1, 2, 1]
cooldown = 2
output: 7 (order is 1 _ _ 1 2 _ 1)
def findTime(arr, cooldown):
# Fill this in.
print findTime([1, 1, 2, 1], 2)
# 7
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