Is graph bipartite?¶
Time: O(|V|+|E|); Space: O(|V|); medium
Given an undirected graph, return true if and only if it is bipartite.
Recall that a graph is bipartite if we can split it’s set of nodes into two independent subsets A and B such that every edge in the graph has one node in A and another node in B.
The graph is given in the following form: graph[i] is a list of indexes j for which the edge between nodes i and j exists.
Each node is an integer between 0 and graph.length - 1.
There are no self edges or parallel edges: graph[i] does not contain i, and it doesn’t contain any element twice.
Example 1:
Input: graph = [[1,3], [0,2], [1,3], [0,2]]
Output: True
Explanation:
The graph looks like this:
0----1 | | | | 3----2
We can divide the vertices into two groups: {0, 2} and {1, 3}.
Example 2:
Input: graph = [[1,2,3], [0,2], [0,1,3], [0,2]]
Output: False
Explanation:
The graph looks like this:
0----1 | \ | | \ | 3----2
We cannot find a way to divide the set of nodes into two independent subsets.
Constraints:
graph will have length in range [1, 100].
graph[i] will contain integers in range [0, graph.length - 1].
graph[i] will not contain i or duplicate values.
The graph is undirected: if any element j is in graph[i], then i will be in graph[j].
[1]:
class Solution1(object):
"""
Time: O(|V|+|E|)
Space: O(|V|)
"""
def isBipartite(self, graph):
"""
:type graph: List[List[int]]
:rtype: bool
"""
color = {}
for node in range(len(graph)):
if node in color:
continue
stack = [node]
color[node] = 0
while stack:
curr = stack.pop()
for neighbor in graph[curr]:
if neighbor not in color:
stack.append(neighbor)
color[neighbor] = color[curr] ^ 1
elif color[neighbor] == color[curr]:
return False
return True
[2]:
s = Solution1()
graph = [[1,3], [0,2], [1,3], [0,2]]
assert s.isBipartite(graph) == True
graph = [[1,2,3], [0,2], [0,1,3], [0,2]]
assert s.isBipartite(graph) == False