Task Scheduler II — LeetCode 2365 Python Solution
- Problem
- #2365
- Pattern
- Hash Map
- Reading time
- 2 min
- Source
- leetcode.com
The problem
You are given a 0-indexed array of positive integers tasks, representing tasks that need to be completed in order, where tasks[i] represents the type of the ith task. You are also given a positive integer space, which represents the minimum number of days that must pass after the completion of a task before another task of the same type can be performed.
Example
- Input
- tasks = [1,2,1,2,3,1], space = 3
- Output
- 9
- Explanation
- One way to complete all tasks in 9 days is as follows:
Python solution
class Solution:
def taskSchedulerII(self, tasks: List[int], space: int) -> int:
day = defaultdict(int)
ans = 0
for task in tasks:
ans += 1
ans = max(ans, day[task])
day[task] = ans + space + 1
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n), where n is the length of the array tasks auxiliary |
Pattern: Hash Map
Trade memory for time: remember what you have seen so the second pass never happens. LeetCode 2365. Task Scheduler II is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Hash Table.
The hash map guide has the Python template for the pattern and the 709 LeetCode problems that use it.
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Frequently asked questions
- How hard is LeetCode 2365. Task Scheduler II?
- LeetCode 2365. Task Scheduler II is rated Medium on LeetCode.
- What is the time complexity of LeetCode 2365. Task Scheduler II?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 2365. Task Scheduler II?
- The Python solution on this page uses O(n), where n is the length of the array tasks auxiliary space.
- What topics does LeetCode 2365. Task Scheduler II cover?
- LeetCode 2365. Task Scheduler II is tagged Array, Hash Table and Simulation on LeetCode.