LeetCode 207. Course Schedule(拓扑排序)

时间:2022-09-06 05:51:50

题目

There are a total of n courses you have to take, labeled from 0 to n - 1.

Some courses may have prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a pair: [0,1]

Given the total number of courses and a list of prerequisite pairs, is it possible for you to finish all courses?

For example:

2, [[1,0]]

There are a total of 2 courses to take. To take course 1 you should have finished course 0. So it is possible.

2, [[1,0],[0,1]]

There are a total of 2 courses to take. To take course 1 you should have finished course 0, and to take course 0 you should also have finished course 1. So it is impossible.

Note:

  1. The input prerequisites is a graph represented by a list of edges, not adjacency matrices. Read more about how a graph is represented.
  2. You may assume that there are no duplicate edges in the input prerequisites.

解题思路

  1. 本质是一个拓扑排序的问题。
  2. 将各个任务的入度和出度计算并存储起来
  3. 将入度为零的任务放在一个队列中
  4. 不断弹出零入度队列,并且维护(删除)弹出任务的出度关系,当维护出度任务时若该任务的入度为零则加入队列,直到队列为空。

LeetCode 207. Course Schedule(拓扑排序)

class Solution(object):
def canFinish(self, numCourses, prerequisites):
"""
:type numCourses: int
:type prerequisites: List[List[int]]
:rtype: bool
"""
# 创建入度出度空字典
inDegree, outDegree = {x:[] for x in range(numCourses)}, {x:[] for x in range(numCourses)} # 存储入度出度关系
for course, preCourse in prerequisites:
inDegree[course].append(preCourse)
outDegree[preCourse].append(course) count, emptyQueue = 0, [] # 将入度为零的任务加入队列
for i in range(numCourses):
if not inDegree.get(i):
emptyQueue.append(i) # 弹出任务,维护任务
while emptyQueue:
node = emptyQueue.pop()
count += 1
for j in outDegree[node]:
inDegree[j].remove(node)
if not inDegree.get(j):
emptyQueue.append(j) return count == numCourses