This task is solved in Python. 3. Write a function build_my_graph2 () that: a) creates the following Graph. b) runs Depth First Search (DFS) algorithm starting from node 'a' and prints all the visited nodes. What is printed in the output when you run the function? Note: you can use the implementation of Graph class and the DFS algorithm (provided in Lecture notes). 8 h

C++ Programming: From Problem Analysis to Program Design
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Author:D. S. Malik
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Chapter18: Stacks And Queues
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This task is solved in Python.
3. Write a function build_my_graph2 () that:
a) creates the following Graph.
b) runs Depth First Search (DFS) algorithm starting from node 'a' and prints all the
visited nodes.
What is printed in the output when you run the function?
Note: you can use the implementation of Graph class and the DFS algorithm (provided in
Lecture notes).
class Graph:
graph = dict()
searched = []
def add_edge(self, node, neighbour):
if node not in self.graph:
self.graphinode] = [neighbour]
else:
self.graph[node].append(neighbour)
def print_graph(self):
print[self.graph)
def depth first search(self, node):
if node not in self.searched:
print[[, node, end="1)
self.searched.append(node)
Transcribed Image Text:This task is solved in Python. 3. Write a function build_my_graph2 () that: a) creates the following Graph. b) runs Depth First Search (DFS) algorithm starting from node 'a' and prints all the visited nodes. What is printed in the output when you run the function? Note: you can use the implementation of Graph class and the DFS algorithm (provided in Lecture notes). class Graph: graph = dict() searched = [] def add_edge(self, node, neighbour): if node not in self.graph: self.graphinode] = [neighbour] else: self.graph[node].append(neighbour) def print_graph(self): print[self.graph) def depth first search(self, node): if node not in self.searched: print[[, node, end="1) self.searched.append(node)
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