LeetCode 207. Course Schedule（拓扑排序）

Posted 2020-09-06 小丑进场

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。

 

 

 

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