2019-05-16 11:24:56 +00:00
|
|
|
# Check whether Graph is Bipartite or Not using DFS
|
|
|
|
|
2020-05-22 06:10:11 +00:00
|
|
|
|
2019-05-16 11:24:56 +00:00
|
|
|
# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
|
|
|
|
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
|
|
|
|
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
|
|
|
|
# or u belongs to V and v to U. We can also say that there is no edge that connects
|
|
|
|
# vertices of same set.
|
2020-05-22 06:10:11 +00:00
|
|
|
def check_bipartite_dfs(graph):
|
|
|
|
visited = [False] * len(graph)
|
|
|
|
color = [-1] * len(graph)
|
2019-05-16 11:24:56 +00:00
|
|
|
|
|
|
|
def dfs(v, c):
|
|
|
|
visited[v] = True
|
|
|
|
color[v] = c
|
2020-05-22 06:10:11 +00:00
|
|
|
for u in graph[v]:
|
2019-05-16 11:24:56 +00:00
|
|
|
if not visited[u]:
|
|
|
|
dfs(u, 1 - c)
|
|
|
|
|
2020-05-22 06:10:11 +00:00
|
|
|
for i in range(len(graph)):
|
2019-05-16 11:24:56 +00:00
|
|
|
if not visited[i]:
|
|
|
|
dfs(i, 0)
|
|
|
|
|
2020-05-22 06:10:11 +00:00
|
|
|
for i in range(len(graph)):
|
|
|
|
for j in graph[i]:
|
2019-05-16 11:24:56 +00:00
|
|
|
if color[i] == color[j]:
|
|
|
|
return False
|
|
|
|
|
|
|
|
return True
|
2019-10-05 05:14:13 +00:00
|
|
|
|
2019-05-16 11:24:56 +00:00
|
|
|
|
|
|
|
# Adjacency list of graph
|
2020-05-22 06:10:11 +00:00
|
|
|
graph = {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}
|
|
|
|
print(check_bipartite_dfs(graph))
|