hange the following code for Depth First Search Strategy so that the graph (graph values in dictionary) generates randomly. # Using a Python dictionary to act as an adjacency list graph = { '5' : ['3','7'], '3' : ['2', '4'], '7' : ['8'], '2' : [], '4' : ['8'], '8' : [] } visited = set() # Set to keep track of visited nodes of graph. def dfs(visited, graph, node): #function for dfs if node not in visited:

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Change the following code for Depth First Search Strategy so that the graph (graph values in dictionary) generates randomly.

# Using a Python dictionary to act as an adjacency list
graph = {
  '5' : ['3','7'],
  '3' : ['2', '4'],
  '7' : ['8'],
  '2' : [],
  '4' : ['8'],
  '8' : []
}

visited = set() # Set to keep track of visited nodes of graph.

def dfs(visited, graph, node):  #function for dfs 
    if node not in visited:
        print (node)
        visited.add(node)
        for neighbour in graph[node]:
            dfs(visited, graph, neighbour)

# Driver Code
print("Following is the Depth-First Search")
dfs(visited, graph, '5')

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