# Python Program to detect cycle in an undirected graph
from collections import defaultdict
# This class represents a undirected
# graph using adjacency list representation
class Graph:
def __init__(self, vertices):
# No. of vertices
self.V = vertices # No. of vertices
# Default dictionary to store graph
self.graph = defaultdict(list)
# Function to add an edge to graph
def addEdge(self, v, w):
# Add w to v_s list
self.graph[v].append(w)
# Add v to w_s list
self.graph[w].append(v)
# A recursive function that uses
# visited[] and parent to detect
# cycle in subgraph reachable from vertex v.
def isCyclicUtil(self, v, visited, parent):
# Mark the current node as visited
visited[v] = True
# Recur for all the vertices
# adjacent to this vertex
for i in self.graph[v]:
# If the node is not
# visited then recurse on it
if visited[i] == False:
if(self.isCyclicUtil(i, visited, v)):
return True
# If an adjacent vertex is
# visited and not parent
# of current vertex,
# then there is a cycle
elif parent != i:
return True
return False
# Returns true if the graph
# contains a cycle, else false.
def isCyclic(self):
# Mark all the vertices
# as not visited
visited = [False]*(self.V)
# Call the recursive helper
# function to detect cycle in different
# DFS trees
for i in range(self.V):
# Don't recur for u if it
# is already visited
if visited[i] == False:
if(self.isCyclicUtil
(i, visited, -1)) == True:
return True
return False
# Create a graph given in the above diagram
g = Graph(5)
g.addEdge(1, 0)
g.addEdge(1, 2)
g.addEdge(2, 0)
g.addEdge(0, 3)
g.addEdge(3, 4)
if g.isCyclic():
print("Graph contains cycle")
else:
print("Graph does not contain cycle ")
g1 = Graph(3)
g1.addEdge(0, 1)
g1.addEdge(1, 2)
if g1.isCyclic():
print("Graph contains cycle")
else:
print("Graph does not contain cycle ")
# This code is contributed by Neelam Yadav