210. Course Schedule II
There are a total of numCourses courses you have to take, labeled from 0 to numCourses - 1. You are given an array prerequisites where prerequisites[i] = [ai, bi] indicates that you must take course bi first if you want to take course ai
Depth-First SearchExample 1:
- Input:
numCourses = 2, prerequisites = [[1,0]] - Output:
[0,1] - Explanation: There are a total of
2courses to take. To take course1you should have finished course0. So the correct course order is[0,1].
Example 2:
- Input:
numCourses = 4, prerequisites = [[1,0],[2,0],[3,1],[3,2]] - Output:
[0,2,1,3] - Explanation: There are a total of
4courses to take. To take course3you should have finished both courses1and2. Both courses1and2should be taken after you finished course0. So one correct course order is[0,1,2,3]. Another correct ordering is[0,2,1,3].
Example 3:
- Input:
numCourses = 1, prerequisites = [] - Output:
[0]
Constraints:
1 <= numCourses <= 20000 <= prerequisites.length <= numCourses * (numCourses - 1)prerequisites[i].length == 20 <= ai, bi < numCoursesai != bi- All the pairs [ai, bi] are distinct.
Solution
class Solution:
def findOrder(self, numCourses: int, prerequisites: list[list[int]]) -> list[int]:
prereq = {c: [] for c in range(numCourses)}
for crs, pre in prerequisites:
prereq[crs].append(pre)
# course has 3 possible states:
# visited -> crs has been added to output
# visiting -> crs not added to output, but added to cycle
# unvisited -> crs not added to output nor cycle
output = []
visit, cycle = set(), set()
def dfs(crs):
if crs in cycle:
return False
if crs in visit:
return True
cycle.add(crs)
for pre in prereq[crs]:
if dfs(pre) == False:
return False
cycle.remove(crs)
visit.add(crs)
output.append(crs)
return True
for c in range(numCourses):
if dfs(c) == False:
return []
return output