Medium
,Graph
,DFS
,BFS
There is an undirected graph with n
nodes, where each node is numbered between 0
and n - 1
. You are given a 2D array graph
, where graph[u]
is an array of nodes that node u
is adjacent to. More formally, for each v
in graph[u]
, there is an undirected edge between node u
and node v
. The graph has the following properties:
graph[u]
does not contain u
).graph[u]
does not contain duplicate values).v
is in graph[u]
, then u
is in graph[v]
(the graph is undirected).u
and v
such that there is no path between them.A graph is bipartite if the nodes can be partitioned into two independent sets A
and B
such that every edge in the graph connects a node in set A
and a node in set B
.
Return true
if and only if it is bipartite.
Example 1:
Input: graph = [[1,2,3],[0,2],[0,1,3],[0,2]]
Output: false
Explanation: There is no way to partition the nodes into two independent sets such that every edge connects a node in one and a node in the other.
Example 2:
Input: graph = [[1,3],[0,2],[1,3],[0,2]]
Output: true
Explanation: We can partition the nodes into two sets: {0, 2} and {1, 3}.
Constraints:
graph.length
== n
n
<= 100graph[u].length
< n
graph[u][i]
<= n
- 1graph[u]
does not contain u
.graph[u]
are unique.graph[u]
contains v
, then graph[v]
contains u
.
class Solution:
def isBipartite(self, graph: List[List[int]]) -> bool:
n = len(graph)
colors = [0] * n
def dfs(node, color = 1):
if colors[node] != 0:
return colors[node] == color
colors[node] = color
for nei in graph[node]:
if not dfs(nei, -color):
return False
return True
for i in range(n):
if colors[i] == 0:
if not dfs(i):
return False
return True
Yen-Chi ChenSat, May 20, 2023