1462. Course Schedule IV
Read the full problem statement on LeetCode.
Difficulty: medium Acceptance: 60% Topics: Depth-First Search, Breadth-First Search, Graph, Topological Sort
View full problem on LeetCode Reading material
Reference solution (spoiler · python)
# Time: O(n^3)
# Space: O(n^2)
class Solution(object):
def checkIfPrerequisite(self, n, prerequisites, queries):
"""
:type n: int
:type prerequisites: List[List[int]]
:type queries: List[List[int]]
:rtype: List[bool]
"""
def floydWarshall(n, graph):
reachable = set(map(lambda x: x[0]*n+x[1], graph))
for k in xrange(n):
for i in xrange(n):
for j in xrange(n):
if i*n+j not in reachable and (i*n+k in reachable and k*n+j in reachable):
reachable.add(i*n+j)
return reachable
reachable = floydWarshall(n, prerequisites)
return [i*n+j in reachable for i, j in queries]
# Time: O(n * q)
# Space: O(p + n)
import collections
class Solution2(object):
def checkIfPrerequisite(self, n, prerequisites, queries):
"""
:type n: int
:type prerequisites: List[List[int]]
:type queries: List[List[int]]
:rtyp
"""
graph = collections.defaultdict(list)
for u, v in prerequisites:
graph[u].append(v)
result = []
for i, j in queries:
stk, lookup = [i], set([i])
while stk:
node = stk.pop()
for nei in graph[node]:
if nei in lookup:
continue
stk.append(nei)
lookup.add(nei)
result.append(j in lookup)
return result
Solution from kamyu104/LeetCode-Solutions · MIT