Change the following code for Breadth First Search Strategy so that the graph (graph values in dictionary) generates randomly. graph = {   '5' : ['3','7'],   '3' : ['2', '4'],   '7' : ['8'],   '2' : [],   '4' : ['8'],   '8' : [] } visited = [] # List for visited nodes. queue = []     #Initialize a queue def bfs(visited, graph, node): #function for BFS   visited.append(node)   queue.append(node)   while queue:          # Creating loop to visit each node     m = queue.pop(0)      print (m, end = " ")      for neighbour in graph[m]:       if neighbour not in visited:         visited.append(neighbour)         queue.append(neighbour) # Driver Code print("Following is the Breadth-First Search") bfs(visited, graph, '5')    # function calling

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Binomial Heap

A binomial heap is a group of binomial trees. This data structure acts as a priority queue and implements the merge operation faster.