785. Is Graph Bipartite?
Problem
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:
- There are no self-edges (
graph[u]does not containu). - There are no parallel edges (
graph[u]does not contain duplicate values). - If
vis ingraph[u], thenuis ingraph[v](the graph is undirected). - The graph may not be connected, meaning there may be two nodes
uandvsuch that there is no path between them.
A graph is bipartite(二分图) 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.
https://leetcode.com/problems/is-graph-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 == n1 <= n <= 1000 <= graph[u].length < n0 <= graph[u][i] <= n - 1graph[u]does not containu.- All the values of
graph[u]are unique. - If
graph[u]containsv, thengraph[v]containsu.
Test Cases
class Solution:
def isBipartite(self, graph: List[List[int]]) -> bool:import pytest
from solution import Solution
@pytest.mark.parametrize('param, expected', [
([[1,2,3],[0,2],[0,1,3],[0,2]], False),
([[1,3],[0,2],[1,3],[0,2]], True),
])
@pytest.mark.parametrize('sol', [Solution()])
def test_solution(sol, param, expected):
assert sol.isBipartite(param) == expected
Thoughts
可以尝试给图中所有顶点染色(设有红色和蓝色两种颜色)。如果一个顶点染成红色,那么跟它相邻的顶点就只能染成蓝色,反之亦然。如果存在一个顶点,跟它相邻的顶点中,同时有至少一个红色和至少一个蓝色,图就不是二部图。
任选一个顶点出发对图做遍历(DFS 或 BFS),给相邻的顶点染相对的颜色,如果发现冲突就说明不是二部图。记录已经染过色的顶点的颜色,如果一个连通子图处理完,还有未染色的顶点就再任取一个继续遍历。
Code
class Solution:
def isBipartite(self, graph: list[list[int]]) -> bool:
n = len(graph)
colors = [-1] * n
for u in range(n):
if colors[u] >= 0: continue
colors[u] = 0
stack = [u]
while stack:
u = stack.pop()
cu = colors[u]
cv = 1 - cu
for v in graph[u]:
if colors[v] == -1:
colors[v] = cv
stack.append(v)
elif colors[v] == cu:
return False
return True
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