Dfs Library In Python Code Example


Example: dfs python

############### #The Algorithm (In English):  # 1) Pick any node.  # 2) If it is unvisited, mark it as visited and recur on all its  #    adjacent nodes.  # 3) Repeat until all the nodes are visited, or the node to be  #    searched is found.   # The graph below (declared as a Python dictionary) # is from the linked website and is used for the sake of # testing the algorithm. Obviously, you will have your own # graph to iterate through. graph = {     'A' : ['B','C'],     'B' : ['D', 'E'],     'C' : ['F'],     'D' : [],     'E' : ['F'],     'F' : [] }  visited = set() # Set to keep track of visited nodes.   ################## # The Algorithm (In Code)  def dfs(visited, graph, node):     if node not in visited:         print (node)         visited.add(node)         for neighbour in graph[node]:             dfs(visited, graph, neighbour)              # Driver Code to test in python yourself. # Note that when calling this, you need to # call the starting node. In this case it is 'A'. dfs(visited, graph, 'A')  # NOTE: There are a few ways to do DFS, depending on what your # variables are and/or what you want returned. This specific # example is the most fleshed-out, yet still understandable, # explanation I could find.

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